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<h1><a data-section="Header" data-ga-action="Click-on"
data-ga-label="dbSNP Short Genetic Variations"
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<span class="uswds-gray tagline">Short Genetic Variations</span>
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<h3 class="usa-alert-heading">Welcome to the Reference SNP (rs) Report</h3>
<p class="usa-alert-text">All alleles are reported in the <a href="https://www.ncbi.nlm.nih.gov/core/assets/snp/docs/RefSNP_orientation_updates.pdf" target="_blank"
data-ga-action="Click for forward orientation" data-ga-category="Info panel"
data-ga-label="Forward orientation">Forward orientation</a>. Click on the
<a href="#variant_details" id="variantlink"
data-ga-action="Click for variant details" data-ga-category="Info panel"
data-ga-label="Forward orientation">Variant Details tab</a> for details on Genomic Placement, Gene, and Amino Acid changes. HGVS names are in the
<a href="#hgvs_tab" id="hgvslink"
data-ga-action="Click for aliases tab" data-ga-category="Info panel"
data-ga-label="HGVS tab">HGVS tab</a>.</p>
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<h3>Reference SNP (rs) Report</h3>
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<ul class="utilities usa-unstyled-list align-right">
<li title="Download in API JSON format"><a href="https://api.ncbi.nlm.nih.gov/variation/v0/refsnp/116855232"
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<p id="main_tp">
This page reports data for a single dbSNP Reference SNP variation (RefSNP or rs) from the new redesigned dbSNP build.<br/>
Top of the page reports a concise summary for the rs, with more specific details included in the corresponding tabs below.<br/>
All alleles are reported in the Forward orientation. Use the Genomic View to inspect the nucleotides flanking the variant, and its neighbors. <br/>
For more information see <a class="external-link" href="/snp/docs/refsnp_report/helpdoc"> Help documentation</a>.</p>
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<h2 id="refsnp_id">rs116855232</h2>
</div>
</div>
<div class="accession usa-width-one-third">
<p>Current Build <span>157</span></p>
<p>Released <span>
September 3, 2024
</span></p>
</div>
</div>
<div class="summary-box usa-grid-full">
<dl class="usa-width-one-half">
<dt>Organism</dt>
<dd class="species_name">Homo sapiens</dd>
<dt>Position</dt>
<dd>
<span>chr13:48045719 </span><span>(GRCh38.p14) </span><a data-width="640px" href="#pos_tp"
ref="section=Summary&action=Click-on-Tooltip&label=pos_tp"
data-section="Summary" data-ga-action="Click-on-Tooltip"
data-ga-label="pos_tp" class="fa fa-question-circle ncbiPopper" id="position_tooltip"><span class="usa-sr-only">Help</span></a><p id="pos_tp">The anchor position for this RefSNP. Includes all nucleotides potentially affected by this change, thus it can differ from HGVS, which is right-shifted. See <a href="/snp/docs/refsnp_report/helpdoc/">here</a> for details.</p>
</dd>
<dt>Alleles</dt>
<dd>
C>T
</dd>
<dt>Variation Type</dt>
<dd>
SNV
<span class="small-font gray">Single Nucleotide Variation</span>
</dd>
<dt>Frequency</dt>
<dd>
<div>
T=0.0115810
(16209/1399618, GnomAD_exomes)
</div><div>
T=0.013359
(3536/264690, TOPMED)
</div><span>
T=0.007938 (1704/214674, ALFA)
</span><span>(<a id="expandfrequency" data-freq-remn="22"
data-is-icon="false" data-section="Summary" data-ga-action="Click-on"
data-ga-label="Frequency" data-targets="#remn_summ_freq" href="#remn_summ_freq"
ref="section=Summary&action=Click-on&label=Frequency">+ 22 more</a>)</span><div class="ui-widget hide_elm" id="remn_summ_freq"><div>
T=0.012675
(1890/149112, GnomAD_genomes)
</div><div>
T=0.027854
(3377/121238, ExAC)
</div><div>
T=0.10275
(7954/77412, 38KJPN)
</div><div>
T=0.00192
(25/13006, GO-ESP)
</div><div>
T=0.1127
(815/7232, Korea4K)
</div><div>
T=0.0372
(238/6404, 1000G_30X)
</div><div>
T=0.0395
(198/5008, 1000G)
</div><div>
T=0.0056
(25/4480, Estonian)
</div><div>
T=0.0031
(12/3854, ALSPAC)
</div><div>
T=0.0024
(9/3708, TWINSUK)
</div><div>
T=0.1105
(323/2922, KOREAN)
</div><div>
T=0.1190
(218/1832, Korea1K)
</div><div>
T=0.005
(5/998, GoNL)
</div><div>
T=0.103
(81/790, PRJEB37584)
</div><div>
T=0.007
(4/600, NorthernSweden)
</div><div>
T=0.004
(2/534, MGP)
</div><div>
T=0.033
(10/304, FINRISK)
</div><div>
T=0.028
(6/216, Qatari)
</div><div>
C=0.40
(32/80, SGDP_PRJ)
</div><div>
T=0.03
(1/40, GENOME_DK)
</div><div>
C=0.5
(4/8, Siberian)
</div><div>
T=0.5
(4/8, Siberian)
</div></div>
</dd>
</dl>
<dl class="usa-width-one-half">
<dt>Clinical Significance</dt>
<dd>
Reported in <a target="_blank" data-section="Summary" data-ga-action="Click-on"
data-ga-label="Reported in ClinVar"
ref="section=Summary&action=Click-on&label=Reported in ClinVar"
href="/clinvar?term=((227129[AlleleID]))">ClinVar</a>
</dd>
<dt>Gene : Consequence</dt>
<dd>
<span>NUDT15 : Missense Variant</span>
</dd>
<dt>Publications</dt>
<dd>
<a id="snp_pub_count" href="#publications">16
citations
</a>
</dd>
<dt>Genomic View</dt>
<dd>
<a href="#seq_hash" data-section="Summary" data-ga-action="Click-on"
data-ga-label="Genomic View See rs on genome"
ref="section=Summary&action=Click-on&label=Genomic View See rs on genome">See rs on
genome</a>
</dd>
</dl>
</div>
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<li class="js-tablist__item">
<a href="#frequency_tab" ref="section=Tab&action=Click-on&label=Frequency"
data-ga-action="Click-on-horizontal" data-ga-label="Frequency" id="label_id_third"
class="js-tablist__link">Frequency
<span aria-hidden="true"></span></a>
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<a href="#variant_details" ref="section=Tab&action=Click-on&label=Variant Details"
data-ga-action="Click-on-horizontal" data-ga-label="Variant Details" id="label_id_first"
class="js-tablist__link">Variant Details
<span class="js-tablist__item-has-focus" aria-hidden="true"></span></a>
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<a href="#clinical_significance"
ref="section=Tab&action=Click-on&label=Clinical Significance"
data-ga-action="Click-on-horizontal" data-ga-label="Clinical Significance" id="label_id_second"
class="js-tablist__link">Clinical
Significance
<span aria-hidden="true"></span></a>
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<a href="#hgvs_tab" ref="section=Tab&action=Click-on&label=HGVS"
data-ga-action="Click-on-horizontal" data-ga-label="HGVS" id="label_id_fourth"
class="js-tablist__link">HGVS
<span aria-hidden="true"></span></a>
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<a href="#submissions" ref="section=Tab&action=Click-on&label=Submissions"
data-ga-action="Click-on-horizontal" data-ga-label="Submissions" id="label_id_fifth"
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data-ga-action="Click-on-horizontal" data-ga-label="Publications" id="label_id_seventh"
class="js-tablist__link">Publications
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data-ga-action="Click-on-horizontal" data-ga-label="Flanks" id="label_id_eighth"
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ref="section=Frequency&action=Click-on-Popper&label=popfreq_tp"
data-section="Frequency" data-ga-action="Click-on-Popper"
data-ga-label="popfreq_tp" >
</a>
<p id="popfreq_tp">
<font size="5" color="blue"><strong><a href="/snp/docs/gsr/alfa" rel="nofollow" target="_blank">ALFA Allele Frequency</a></strong></font><br/>
The ALFA project provide aggregate allele frequency from dbGaP. More information is available on the project <a href="/snp/docs/gsr/alfa" rel="nofollow" target="_blank">page</a> including descriptions, data access, and terms of use.
</p>
<div>
<span class="build_id_container"><span class="build_id_label">Release Version:</span> 20231103111315</span>
</div>
<div id="popfreq_table" data-section="PopFrequency" data-ga-action="ScrollPopFrequency" data-ga-label="popfreq" class="popfreq_table">
<table id="popfreq_datatable" class="stripe">
<thead>
<tr>
<th title="Continental population name">Population</th>
<th title="Global (total) and sub-populations">Group</th>
<th title="Total allele counts by population">Sample Size</th>
<th title="Reference assembly allele">Ref Allele</th>
<th title="Alternate allele">Alt Allele</th>
<th title="Reference Homozygous genotype Frequency">Ref HMOZ</th>
<th title="Alternate Homozygous genotype Frequency">Alt HMOZ</th>
<th title="Heterozygous genotype Frequency">HTRZ</th>
<th title="-Log(HWE Probability)">HWEP</th>
</tr>
</thead>
<tbody>
<tr class="par_row">
<td>
<a href="/biosample/SAMN10492705">Total</a>
</td>
<td>Global</td>
<td class="samp_s">214674</td>
<td class="popfreq_ref_allele">C=0.992062</td>
<td class="popfreq_alt_allele">T=0.007938</td>
<td class="popfreq_alt_allele">0.984721</td>
<td class="popfreq_alt_allele">0.000596</td>
<td class="popfreq_alt_allele">0.014683</td>
<td class="popfreq_alt_allele">32</td>
</tr>
<tr class="chi_row">
<td>
<a href="/biosample/SAMN10492695">European</a>
</td>
<td>Sub</td>
<td class="samp_s">178344</td>
<td class="popfreq_ref_allele">C=0.997135</td>
<td class="popfreq_alt_allele">T=0.002865</td>
<td class="popfreq_alt_allele">0.99427</td>
<td class="popfreq_alt_allele">0.0</td>
<td class="popfreq_alt_allele">0.00573</td>
<td class="popfreq_alt_allele">0</td>
</tr>
<tr class="chi_row">
<td>
<a href="/biosample/SAMN10492703">African</a>
</td>
<td>Sub</td>
<td class="samp_s">9810</td>
<td class="popfreq_ref_allele">C=0.9989</td>
<td class="popfreq_alt_allele">T=0.0011</td>
<td class="popfreq_alt_allele">0.997757</td>
<td class="popfreq_alt_allele">0.0</td>
<td class="popfreq_alt_allele">0.002243</td>
<td class="popfreq_alt_allele">0</td>
</tr>
<tr class="chi_row">
<td>
<a href="/biosample/SAMN10492696">African Others</a>
</td>
<td>Sub</td>
<td class="samp_s">360</td>
<td class="popfreq_ref_allele">C=1.000</td>
<td class="popfreq_alt_allele">T=0.000</td>
<td class="popfreq_alt_allele">1.0</td>
<td class="popfreq_alt_allele">0.0</td>
<td class="popfreq_alt_allele">0.0</td>
<td class="popfreq_alt_allele">N/A</td>
</tr>
<tr class="chi_row">
<td>
<a href="/biosample/SAMN10492698">African American</a>
</td>
<td>Sub</td>
<td class="samp_s">9450</td>
<td class="popfreq_ref_allele">C=0.9988</td>
<td class="popfreq_alt_allele">T=0.0012</td>
<td class="popfreq_alt_allele">0.997672</td>
<td class="popfreq_alt_allele">0.0</td>
<td class="popfreq_alt_allele">0.002328</td>
<td class="popfreq_alt_allele">0</td>
</tr>
<tr class="chi_row">
<td>
<a href="/biosample/SAMN10492704">Asian</a>
</td>
<td>Sub</td>
<td class="samp_s">6342</td>
<td class="popfreq_ref_allele">C=0.8836</td>
<td class="popfreq_alt_allele">T=0.1164</td>
<td class="popfreq_alt_allele">0.782088</td>
<td class="popfreq_alt_allele">0.014822</td>
<td class="popfreq_alt_allele">0.203091</td>
<td class="popfreq_alt_allele">0</td>
</tr>
<tr class="chi_row">
<td>
<a href="/biosample/SAMN10492697">East Asian</a>
</td>
<td>Sub</td>
<td class="samp_s">4492</td>
<td class="popfreq_ref_allele">C=0.8862</td>
<td class="popfreq_alt_allele">T=0.1138</td>
<td class="popfreq_alt_allele">0.785841</td>
<td class="popfreq_alt_allele">0.013357</td>
<td class="popfreq_alt_allele">0.200801</td>
<td class="popfreq_alt_allele">0</td>
</tr>
<tr class="chi_row">
<td>
<a href="/biosample/SAMN10492701">Other Asian</a>
</td>
<td>Sub</td>
<td class="samp_s">1850</td>
<td class="popfreq_ref_allele">C=0.8773</td>
<td class="popfreq_alt_allele">T=0.1227</td>
<td class="popfreq_alt_allele">0.772973</td>
<td class="popfreq_alt_allele">0.018378</td>
<td class="popfreq_alt_allele">0.208649</td>
<td class="popfreq_alt_allele">1</td>
</tr>
<tr class="chi_row">
<td>
<a href="/biosample/SAMN10492699">Latin American 1</a>
</td>
<td>Sub</td>
<td class="samp_s">804</td>
<td class="popfreq_ref_allele">C=0.994</td>
<td class="popfreq_alt_allele">T=0.006</td>
<td class="popfreq_alt_allele">0.987562</td>
<td class="popfreq_alt_allele">0.0</td>
<td class="popfreq_alt_allele">0.012438</td>
<td class="popfreq_alt_allele">0</td>
</tr>
<tr class="chi_row">
<td>
<a href="/biosample/SAMN10492700">Latin American 2</a>
</td>
<td>Sub</td>
<td class="samp_s">974</td>
<td class="popfreq_ref_allele">C=0.953</td>
<td class="popfreq_alt_allele">T=0.047</td>
<td class="popfreq_alt_allele">0.907598</td>
<td class="popfreq_alt_allele">0.002053</td>
<td class="popfreq_alt_allele">0.090349</td>
<td class="popfreq_alt_allele">0</td>
</tr>
<tr class="chi_row">
<td>
<a href="/biosample/SAMN10492702">South Asian</a>
</td>
<td>Sub</td>
<td class="samp_s">280</td>
<td class="popfreq_ref_allele">C=0.957</td>
<td class="popfreq_alt_allele">T=0.043</td>
<td class="popfreq_alt_allele">0.921429</td>
<td class="popfreq_alt_allele">0.007143</td>
<td class="popfreq_alt_allele">0.071429</td>
<td class="popfreq_alt_allele">2</td>
</tr>
<tr class="chi_row">
<td>
<a href="/biosample/SAMN11605645">Other</a>
</td>
<td>Sub</td>
<td class="samp_s">18120</td>
<td class="popfreq_ref_allele">C=0.97897</td>
<td class="popfreq_alt_allele">T=0.02103</td>
<td class="popfreq_alt_allele">0.959603</td>
<td class="popfreq_alt_allele">0.001656</td>
<td class="popfreq_alt_allele">0.038742</td>
<td class="popfreq_alt_allele">17</td>
</tr>
</tbody>
</table>
<br/>
<br/>
</div>
<a data-width="640px" href="#frequency_tp"
ref="section=Frequency&action=Click-on-Tooltip&label=frequency_tp"
data-section="Frequency" data-ga-action="Click-on-Tooltip"
data-ga-label="frequency_tp" class="fa fa-question-circle align-right ncbiPopper">
<span class="usa-sr-only">Help</span>
</a>
<p id="frequency_tp">
Frequency tab displays a table of the reference and alternate allele frequencies reported by various studies and populations. Table lines, where Population="Global" refer to the entire study population, whereas lines, where Group="Sub", refer to a study-specific population subgroupings (i.e. AFR, CAU, etc.), if available. Frequency for the alternate allele (Alt Allele) is a ratio of samples observed-to-total, where the numerator (observed samples) is the number of chromosomes in the study with the minor allele present (found in "Sample size", where Group="Sub"), and the denominator (total samples) is the total number of all chromosomes in the study for the variant (found in "Sample size", where Group="Study-wide" and Population="Global").
</p>
<a href="/snp/rs116855232/download/frequency">
<i class="fa fa-download" aria-hidden="true"></i> Download</a>
<div id="dbsnp_freq_table">
<table id="dbsnp_freq_datatable" class="stripe">
<thead>
<tr>
<th class="study_header">Study</th>
<th class="population_header">Population</th>
<th>Group</th>
<th>Sample Size</th>
<th>Ref Allele</th>
<th>Alt Allele</th>
</tr>
</thead>
<tbody>
<tr class="par_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Exomes</a>
</td>
<td>
Global
</td>
<td>Study-wide</td>
<td class="samp_s">1399618</td>
<td>C=0.9884190</td>
<td>T=0.0115810</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Exomes</a>
</td>
<td>
European
</td>
<td>Sub</td>
<td class="samp_s">1164806</td>
<td>C=0.9966424</td>
<td>T=0.0033576</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Exomes</a>
</td>
<td>
South Asian
</td>
<td>Sub</td>
<td class="samp_s">85900</td>
<td>C=0.93560</td>
<td>T=0.06440</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Exomes</a>
</td>
<td>
American
</td>
<td>Sub</td>
<td class="samp_s">44292</td>
<td>C=0.94367</td>
<td>T=0.05633</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Exomes</a>
</td>
<td>
East Asian
</td>
<td>Sub</td>
<td class="samp_s">39390</td>
<td>C=0.89647</td>
<td>T=0.10353</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Exomes</a>
</td>
<td>
African
</td>
<td>Sub</td>
<td class="samp_s">33358</td>
<td>C=0.99868</td>
<td>T=0.00132</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Exomes</a>
</td>
<td>
Ashkenazi Jewish
</td>
<td>Sub</td>
<td class="samp_s">26106</td>
<td>C=0.99694</td>
<td>T=0.00306</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Exomes</a>
</td>
<td>
Middle Eastern
</td>
<td>sub</td>
<td class="samp_s">5766</td>
<td>C=0.9880</td>
<td>T=0.0120</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJNA400167">TopMed</a>
</td>
<td>
Global
</td>
<td>Study-wide</td>
<td class="samp_s">264690</td>
<td>C=0.986641</td>
<td>T=0.013359</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJNA507278">Allele Frequency Aggregator</a>
</td>
<td>
<a href="/biosample/SAMN10492705">Total</a>
</td>
<td>Global</td>
<td class="samp_s">214674</td>
<td>C=0.992062</td>
<td>T=0.007938</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA507278">Allele Frequency Aggregator</a>
</td>
<td>
<a href="/biosample/SAMN10492695">European</a>
</td>
<td>Sub</td>
<td class="samp_s">178344</td>
<td>C=0.997135</td>
<td>T=0.002865</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA507278">Allele Frequency Aggregator</a>
</td>
<td>
<a href="/biosample/SAMN11605645">Other</a>
</td>
<td>Sub</td>
<td class="samp_s">18120</td>
<td>C=0.97897</td>
<td>T=0.02103</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA507278">Allele Frequency Aggregator</a>
</td>
<td>
<a href="/biosample/SAMN10492703">African</a>
</td>
<td>Sub</td>
<td class="samp_s">9810</td>
<td>C=0.9989</td>
<td>T=0.0011</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA507278">Allele Frequency Aggregator</a>
</td>
<td>
<a href="/biosample/SAMN10492704">Asian</a>
</td>
<td>Sub</td>
<td class="samp_s">6342</td>
<td>C=0.8836</td>
<td>T=0.1164</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA507278">Allele Frequency Aggregator</a>
</td>
<td>
<a href="/biosample/SAMN10492700">Latin American 2</a>
</td>
<td>Sub</td>
<td class="samp_s">974</td>
<td>C=0.953</td>
<td>T=0.047</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA507278">Allele Frequency Aggregator</a>
</td>
<td>
<a href="/biosample/SAMN10492699">Latin American 1</a>
</td>
<td>Sub</td>
<td class="samp_s">804</td>
<td>C=0.994</td>
<td>T=0.006</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA507278">Allele Frequency Aggregator</a>
</td>
<td>
<a href="/biosample/SAMN10492702">South Asian</a>
</td>
<td>Sub</td>
<td class="samp_s">280</td>
<td>C=0.957</td>
<td>T=0.043</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Genomes</a>
</td>
<td>
Global
</td>
<td>Study-wide</td>
<td class="samp_s">149112</td>
<td>C=0.987325</td>
<td>T=0.012675</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Genomes</a>
</td>
<td>
European
</td>
<td>Sub</td>
<td class="samp_s">78558</td>
<td>C=0.99455</td>
<td>T=0.00545</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Genomes</a>
</td>
<td>
African
</td>
<td>Sub</td>
<td class="samp_s">41516</td>
<td>C=0.99908</td>
<td>T=0.00092</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Genomes</a>
</td>
<td>
American
</td>
<td>Sub</td>
<td class="samp_s">15278</td>
<td>C=0.96426</td>
<td>T=0.03574</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Genomes</a>
</td>
<td>
East Asian
</td>
<td>Sub</td>
<td class="samp_s">5182</td>
<td>C=0.8987</td>
<td>T=0.1013</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Genomes</a>
</td>
<td>
South Asian
</td>
<td>Sub</td>
<td class="samp_s">4816</td>
<td>C=0.9292</td>
<td>T=0.0708</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Genomes</a>
</td>
<td>
Ashkenazi Jewish
</td>
<td>Sub</td>
<td class="samp_s">3468</td>
<td>C=0.9968</td>
<td>T=0.0032</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA398795">gnomAD v4 - Genomes</a>
</td>
<td>
Middle Eastern
</td>
<td>sub</td>
<td class="samp_s">294</td>
<td>C=0.997</td>
<td>T=0.003</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJEB8661">ExAC</a>
</td>
<td>
<a href="/biosample/SAMN07490465">Global</a>
</td>
<td>Study-wide</td>
<td class="samp_s">121238</td>
<td>C=0.972146</td>
<td>T=0.027854</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB8661">ExAC</a>
</td>
<td>
Europe
</td>
<td>Sub</td>
<td class="samp_s">73312</td>
<td>C=0.99378</td>
<td>T=0.00622</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB8661">ExAC</a>
</td>
<td>
Asian
</td>
<td>Sub</td>
<td class="samp_s">25158</td>
<td>C=0.91816</td>
<td>T=0.08184</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB8661">ExAC</a>
</td>
<td>
American
</td>
<td>Sub</td>
<td class="samp_s">11572</td>
<td>C=0.92888</td>
<td>T=0.07112</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB8661">ExAC</a>
</td>
<td>
African
</td>
<td>Sub</td>
<td class="samp_s">10288</td>
<td>C=0.99932</td>
<td>T=0.00068</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB8661">ExAC</a>
</td>
<td>
<a href="/biosample/SAMN07486028">Other</a>
</td>
<td>Sub</td>
<td class="samp_s">908</td>
<td>C=0.965</td>
<td>T=0.035</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJNA678214">38KJPN</a>
</td>
<td>
<a href="/biosample/SAMN33574975">JAPANESE</a>
</td>
<td>Study-wide</td>
<td class="samp_s">77412</td>
<td>C=0.89725</td>
<td>T=0.10275</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJNA192955">GO Exome Sequencing Project</a>
</td>
<td>
Global
</td>
<td>Study-wide</td>
<td class="samp_s">13006</td>
<td>C=0.99808</td>
<td>T=0.00192</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA192955">GO Exome Sequencing Project</a>
</td>
<td>
European American
</td>
<td>Sub</td>
<td class="samp_s">8600</td>
<td>C=0.9976</td>
<td>T=0.0024</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJNA192955">GO Exome Sequencing Project</a>
</td>
<td>
African American
</td>
<td>Sub</td>
<td class="samp_s">4406</td>
<td>C=0.9991</td>
<td>T=0.0009</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJNA974196">Korean Genome Project 4K</a>
</td>
<td>
KOREAN
</td>
<td>Study-wide</td>
<td class="samp_s">7232</td>
<td>C=0.8873</td>
<td>T=0.1127</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJEB31736">1000Genomes_30X</a>
</td>
<td>
<a href="/biosample/SAMN07490465">Global</a>
</td>
<td>Study-wide</td>
<td class="samp_s">6404</td>
<td>C=0.9628</td>
<td>T=0.0372</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB31736">1000Genomes_30X</a>
</td>
<td>
<a href="/biosample/SAMN07486022">African</a>
</td>
<td>Sub</td>
<td class="samp_s">1786</td>
<td>C=0.9994</td>
<td>T=0.0006</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB31736">1000Genomes_30X</a>
</td>
<td>
<a href="/biosample/SAMN07488239">Europe</a>
</td>
<td>Sub</td>
<td class="samp_s">1266</td>
<td>C=0.9984</td>
<td>T=0.0016</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB31736">1000Genomes_30X</a>
</td>
<td>
<a href="/biosample/SAMN07486027">South Asian</a>
</td>
<td>Sub</td>
<td class="samp_s">1202</td>
<td>C=0.9326</td>
<td>T=0.0674</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB31736">1000Genomes_30X</a>
</td>
<td>
<a href="/biosample/SAMN07486024">East Asian</a>
</td>
<td>Sub</td>
<td class="samp_s">1170</td>
<td>C=0.9043</td>
<td>T=0.0957</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB31736">1000Genomes_30X</a>
</td>
<td>
<a href="/biosample/SAMN07488242">American</a>
</td>
<td>Sub</td>
<td class="samp_s">980</td>
<td>C=0.957</td>
<td>T=0.043</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJEB6930">1000Genomes</a>
</td>
<td>
<a href="/biosample/SAMN07490465">Global</a>
</td>
<td>Study-wide</td>
<td class="samp_s">5008</td>
<td>C=0.9605</td>
<td>T=0.0395</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB6930">1000Genomes</a>
</td>
<td>
<a href="/biosample/SAMN07486022">African</a>
</td>
<td>Sub</td>
<td class="samp_s">1322</td>
<td>C=0.9992</td>
<td>T=0.0008</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB6930">1000Genomes</a>
</td>
<td>
<a href="/biosample/SAMN07486024">East Asian</a>
</td>
<td>Sub</td>
<td class="samp_s">1008</td>
<td>C=0.9048</td>
<td>T=0.0952</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB6930">1000Genomes</a>
</td>
<td>
<a href="/biosample/SAMN07488239">Europe</a>
</td>
<td>Sub</td>
<td class="samp_s">1006</td>
<td>C=0.9980</td>
<td>T=0.0020</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB6930">1000Genomes</a>
</td>
<td>
<a href="/biosample/SAMN07486027">South Asian</a>
</td>
<td>Sub</td>
<td class="samp_s">978</td>
<td>C=0.930</td>
<td>T=0.070</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB6930">1000Genomes</a>
</td>
<td>
<a href="/biosample/SAMN07488242">American</a>
</td>
<td>Sub</td>
<td class="samp_s">694</td>
<td>C=0.955</td>
<td>T=0.045</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJNA489787">Genetic variation in the Estonian population</a>
</td>
<td>
Estonian
</td>
<td>Study-wide</td>
<td class="samp_s">4480</td>
<td>C=0.9944</td>
<td>T=0.0056</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJEB7217">The Avon Longitudinal Study of Parents and Children</a>
</td>
<td>
PARENT AND CHILD COHORT
</td>
<td>Study-wide</td>
<td class="samp_s">3854</td>
<td>C=0.9969</td>
<td>T=0.0031</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJEB7218">UK 10K study - Twins</a>
</td>
<td>
TWIN COHORT
</td>
<td>Study-wide</td>
<td class="samp_s">3708</td>
<td>C=0.9976</td>
<td>T=0.0024</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJNA589833">KOREAN population from KRGDB</a>
</td>
<td>
KOREAN
</td>
<td>Study-wide</td>
<td class="samp_s">2922</td>
<td>C=0.8895</td>
<td>T=0.1105</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJNA609628">Korean Genome Project</a>
</td>
<td>
KOREAN
</td>
<td>Study-wide</td>
<td class="samp_s">1832</td>
<td>C=0.8810</td>
<td>T=0.1190</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJEB5829">Genome of the Netherlands Release 5</a>
</td>
<td>
<a href="/biosample/SAMN13000132">Genome of the Netherlands</a>
</td>
<td>Study-wide</td>
<td class="samp_s">998</td>
<td>C=0.995</td>
<td>T=0.005</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJEB37584">CNV burdens in cranial meningiomas</a>
</td>
<td>
<a href="/biosample/SAMN15458720">Global</a>
</td>
<td>Study-wide</td>
<td class="samp_s">790</td>
<td>C=0.897</td>
<td>T=0.103</td>
</tr>
<tr class="chi_row">
<td>
<a href="/bioproject/PRJEB37584">CNV burdens in cranial meningiomas</a>
</td>
<td>
<a href="/biosample/SAMN15458720">CRM</a>
</td>
<td>Sub</td>
<td class="samp_s">790</td>
<td>C=0.897</td>
<td>T=0.103</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PPRJNA503394">Northern Sweden</a>
</td>
<td>
<a href="/biosample/SAMN10359154">ACPOP</a>
</td>
<td>Study-wide</td>
<td class="samp_s">600</td>
<td>C=0.993</td>
<td>T=0.007</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJEB8705">Medical Genome Project healthy controls from Spanish population</a>
</td>
<td>
<a href="/biosample/SAMN13001620">Spanish controls</a>
</td>
<td>Study-wide</td>
<td class="samp_s">534</td>
<td>C=0.996</td>
<td>T=0.004</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJEB7895">FINRISK</a>
</td>
<td>
<a href="/biosample/SAMN13002954">Finnish from FINRISK project</a>
</td>
<td>Study-wide</td>
<td class="samp_s">304</td>
<td>C=0.967</td>
<td>T=0.033</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJNA288297">Qatari</a>
</td>
<td>
<a href="/biosample/SAMN13019808">Global</a>
</td>
<td>Study-wide</td>
<td class="samp_s">216</td>
<td>C=0.972</td>
<td>T=0.028</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJNA586841">SGDP_PRJ</a>
</td>
<td>
Global
</td>
<td>Study-wide</td>
<td class="samp_s">80</td>
<td>C=0.40</td>
<td>T=0.60</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJEB7725">The Danish reference pan genome</a>
</td>
<td>
<a href="/biosample/SAMN13003120">Danish</a>
</td>
<td>Study-wide</td>
<td class="samp_s">40</td>
<td>C=0.97</td>
<td>T=0.03</td>
</tr>
<tr class="par_row">
<td>
<a href="/bioproject/PRJNA267856">Siberian</a>
</td>
<td>
<a href="/biosample/SAMN13113809">Global</a>
</td>
<td>Study-wide</td>
<td class="samp_s">8</td>
<td>C=0.5</td>
<td>T=0.5</td>
</tr>
</tbody>
</table>
</div>
</div>
<div id="variant_details" class="js-tabcontent">
<a data-width="640px" href="#variant_details_tp"
ref="section=Variant Details&action=Click-on-Tooltip&label=variant_details_tp"
data-section="Variant Details" data-ga-action="Click-on-Tooltip"
data-ga-label="variant_details_tp" class="fa fa-question-circle align-right ncbiPopper">
<span class="usa-sr-only">Help</span>
</a>
<p id="variant_details_tp">
Variant Details tab shows known variant placements on genomic sequences: chromosomes (NC_), RefSeqGene, pseudogenes or genomic regions (NG_), and in a separate table: on transcripts (NM_) and protein sequences (NP_). The corresponding transcript and protein locations are listed in adjacent lines, along with <a class="external-link" href="/variation/docs/glossary/#MolCon" rel="nofollow" target="_blank">molecular consequences</a> from <a class="external-link" href="http://www.sequenceontology.org/" rel="nofollow" target="_blank">Sequence Ontology</a>. When no protein placement is available, only the transcript is listed. Column "Codon[Amino acid]" shows the actual base change in the format of "Reference > Alternate" allele, including the nucleotide codon change in transcripts, and the amino acid change in proteins, respectively, allowing for known ribosomal slippage sites. To view nucleotides adjacent to the variant use the Genomic View at the bottom of the page - zoom into the sequence until the nucleotides around the variant become visible.</p>
<div>
<div class="sect_heading">Genomic Placements</div>
<div id="gene_plac_allele">
<!-- display class is a short-cut for specifying the stripe hover order-column
row-border as the class name for a table -->
<table id="genomics_placements_table" class="stripe">
<thead>
<tr>
<th>Sequence name</th>
<th>Change</th>
</tr>
</thead>
<tbody>
<tr>
<td>GRCh38.p14 chr 13</td>
<td>NC_000013.11:g.48045719C>T</td>
</tr>
<tr>
<td>GRCh37.p13 chr 13</td>
<td>NC_000013.10:g.48619855C>T</td>
</tr>
<tr>
<td>NUDT15 RefSeqGene</td>
<td>NG_047021.1:g.13153C>T</td>
</tr>
</tbody>
</table>
</div>
<div id="trans_anno_allele">
<div class="sect_heading">
Gene: <a target="_blank" data-section="Variant Details"
data-ga-action="Click-on"
data-ga-label="transcript_annotation_gene_link"
ref="section=Variant Details&action=Click-on&label=transcript_annotation_gene_link"
href="/gene/55270">NUDT15</a>, nudix hydrolase 15
(plus strand)
</div>
<table class="trans_anno_allele_datatable" class="stripe">
<thead>
<tr>
<th>Molecule type</th>
<th>Change</th>
<th>Amino acid[Codon]</th>
<th>SO Term</th>
</tr>
</thead>
<tbody>
<tr class="vard_odd">
<td>NUDT15 transcript variant 2</td>
<td>
<span>
NM_001304745.2:c.
</span>
</td>
<td>
<span>
N/A
</span>
</td>
<td>
Genic Downstream Transcript Variant
</td>
</tr>
<tr class="vard_even">
<td>NUDT15 transcript variant 1</td>
<td>
<span>
NM_018283.4:c.415C>T
</span>
</td>
<td>
<span><span class="codon-plain">R [</span><span class="codon-hilite">C</span><span class="codon-ghost">GT</span><span class="codon-plain">] > C [</span><span class="codon-hilite">T</span><span class="codon-ghost">GT</span><span class="codon-plain">]</span></span>
</td>
<td>
Coding Sequence Variant
</td>
</tr>
<tr class="vard_even">
<td>nucleotide triphosphate diphosphatase NUDT15 isoform 1</td>
<td>
<span>
NP_060753.1:p.Arg139Cys
</span>
</td>
<td>
<span>
R (Arg) > C (Cys)
</span>
</td>
<td>
Missense Variant
</td>
</tr>
<tr class="vard_odd">
<td>NUDT15 transcript variant 4</td>
<td>
<span>
NR_136688.2:n.436C>T
</span>
</td>
<td>
<span>
N/A
</span>
</td>
<td>
Non Coding Transcript Variant
</td>
</tr>
<tr class="vard_even">
<td>NUDT15 transcript variant 3</td>
<td>
<span>
NR_136687.2:n.436C>T
</span>
</td>
<td>
<span>
N/A
</span>
</td>
<td>
Non Coding Transcript Variant
</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
<div id="clinical_significance" class="js-tabcontent">
<div>
<a data-width="640px" href="#clin_sig_tp"
ref="section=Clinical Significance&action=Click-on-Tooltip&label=clinical_significance_tp"
data-section="Clinical Significance" data-ga-action="Click-on-Tooltip"
data-ga-label="clinical_significance_tp"
class="fa fa-question-circle align-right ncbiPopper">
<span class="usa-sr-only">Help</span>
</a>
<p id="clin_sig_tp">
Clinical Significance tab shows a list of <a class="external-link" href="/clinvar/docs/clinsig" rel="nofollow" target="_blank">clinical significance </a>entries from ClinVar associated with the variation, per allele. Click on the RCV accession (i.e. <a href="/clinvar/RCV000001615.2" rel="nofollow" target="_blank">RCV000001615.2</a>) or Allele ID (i.e. <a href="/clinvar/variation/12274/" rel="nofollow" target="_blank">12274</a>) to access full ClinVar report.</p>
<div class="sect_heading">Allele: T (allele ID:
<a ref="section=Clinical Significance&action=Click-on&label=allele_link"
target="_blank" href="/clinvar?term=(227129[AlleleID])"
data-section="Clinical Significance"
data-ga-action="Click-on"
data-ga-label="allele_link">
227129
</a>)
</div>
<table id="clinical_significance_datatable" class="stripe" data-height="15em">
<thead>
<tr>
<th>ClinVar Accession</th>
<th>Disease Names</th>
<th>Clinical Significance</th>
</tr>
</thead>
<tbody>
<tr>
<td><a target="_blank" data-section="Clinical Significance"
data-ga-action="Click-on" data-ga-label="ClinVar_Accession_link"
ref="section=Clinical Significance&action=Click-on&label=ClinVar_Accession_link"
href="/clinvar/RCV000210853.10">RCV000210853.10</a>
</td>
<td>Thiopurines, poor metabolism of, 2</td>
<td>Drug-Response</td>
</tr>
<tr>
<td><a target="_blank" data-section="Clinical Significance"
data-ga-action="Click-on" data-ga-label="ClinVar_Accession_link"
ref="section=Clinical Significance&action=Click-on&label=ClinVar_Accession_link"
href="/clinvar/RCV001787328.10">RCV001787328.10</a>
</td>
<td>azathioprine response - Toxicity</td>
<td>Drug-Response</td>
</tr>
<tr>
<td><a target="_blank" data-section="Clinical Significance"
data-ga-action="Click-on" data-ga-label="ClinVar_Accession_link"
ref="section=Clinical Significance&action=Click-on&label=ClinVar_Accession_link"
href="/clinvar/RCV001788069.9">RCV001788069.9</a>
</td>
<td>mercaptopurine response - Dosage</td>
<td>Drug-Response</td>
</tr>
<tr>
<td><a target="_blank" data-section="Clinical Significance"
data-ga-action="Click-on" data-ga-label="ClinVar_Accession_link"
ref="section=Clinical Significance&action=Click-on&label=ClinVar_Accession_link"
href="/clinvar/RCV003982953.1">RCV003982953.1</a>
</td>
<td>NUDT15-related disorder</td>
<td>Likely-Benign</td>
</tr>
</tbody>
</table>
</div>
</div>
<div id="hgvs_tab" class="js-tabcontent">
<a data-width="640px" href="#aliases_tp"
ref="section=HGVS&action=Click-on-Tooltip&label=aliases_tp"
data-section="HGVS" data-ga-action="Click-on-Tooltip" data-ga-label="aliases_tp"
class="fa fa-question-circle align-right ncbiPopper">
<span class="usa-sr-only">Help</span>
</a>
<p id="aliases_tp">
Aliases tab displays HGVS names representing the variant placements and allele changes on genomic, transcript and protein sequences, per allele. <a href="http://varnomen.hgvs.org/">HGVS name</a> is an expression for reporting sequence accession and version, sequence type, position, and allele change. The column "Note" can have two values: "diff" means that there is a difference between the reference allele (variation interval) at the placement reported in HGVS name and the reference alleles reported in other HGVS names, and "rev" means that the sequence of this variation interval at the placement reported in HGVS name is in reverse orientation to the sequence(s) of this variation in other HGVS names not labeled as "rev".</p>
<div id="hgvs">
<table id="alliases_alleles_datatable" class="stripe">
<thead class="allele_wrap">
<tr>
<th>Placement</th>
<th>
C=
</th>
<th>
T
</th>
</tr>
</thead>
<tbody class="allele_wrap">
<tr>
<td class="alias_hgvs">
GRCh38.p14 chr 13
</td>
<td class="alias_hgvs">
NC_000013.11:g.48045719=
</td>
<td class="alias_hgvs">
NC_000013.11:g.48045719C>T
</td>
</tr>
<tr>
<td class="alias_hgvs">
GRCh37.p13 chr 13
</td>
<td class="alias_hgvs">
NC_000013.10:g.48619855=
</td>
<td class="alias_hgvs">
NC_000013.10:g.48619855C>T
</td>
</tr>
<tr>
<td class="alias_hgvs">
NUDT15 RefSeqGene
</td>
<td class="alias_hgvs">
NG_047021.1:g.13153=
</td>
<td class="alias_hgvs">
NG_047021.1:g.13153C>T
</td>
</tr>
<tr>
<td class="alias_hgvs">
NUDT15 transcript variant 1
</td>
<td class="alias_hgvs">
NM_018283.4:c.415=
</td>
<td class="alias_hgvs">
NM_018283.4:c.415C>T
</td>
</tr>
<tr>
<td class="alias_hgvs">
NUDT15 transcript variant 1
</td>
<td class="alias_hgvs">
NM_018283.3:c.415=
</td>
<td class="alias_hgvs">
NM_018283.3:c.415C>T
</td>
</tr>
<tr>
<td class="alias_hgvs">
NUDT15 transcript variant 1
</td>
<td class="alias_hgvs">
NM_018283.2:c.415=
</td>
<td class="alias_hgvs">
NM_018283.2:c.415C>T
</td>
</tr>
<tr>
<td class="alias_hgvs">
NUDT15 transcript
</td>
<td class="alias_hgvs">
NM_018283.1:c.415=
</td>
<td class="alias_hgvs">
NM_018283.1:c.415C>T
</td>
</tr>
<tr>
<td class="alias_hgvs">
NUDT15 transcript variant 3
</td>
<td class="alias_hgvs">
NR_136687.2:n.436=
</td>
<td class="alias_hgvs">
NR_136687.2:n.436C>T
</td>
</tr>
<tr>
<td class="alias_hgvs">
NUDT15 transcript variant 3
</td>
<td class="alias_hgvs">
NR_136687.1:n.595=
</td>
<td class="alias_hgvs">
NR_136687.1:n.595C>T
</td>
</tr>
<tr>
<td class="alias_hgvs">
NUDT15 transcript variant 4
</td>
<td class="alias_hgvs">
NR_136688.2:n.436=
</td>
<td class="alias_hgvs">
NR_136688.2:n.436C>T
</td>
</tr>
<tr>
<td class="alias_hgvs">
NUDT15 transcript variant 4
</td>
<td class="alias_hgvs">
NR_136688.1:n.595=
</td>
<td class="alias_hgvs">
NR_136688.1:n.595C>T
</td>
</tr>
<tr>
<td class="alias_hgvs">
nucleotide triphosphate diphosphatase NUDT15 isoform 1
</td>
<td class="alias_hgvs">
NP_060753.1:p.Arg139=
</td>
<td class="alias_hgvs">
NP_060753.1:p.Arg139Cys
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div id="submissions" class="js-tabcontent">
<a data-width="640px" href="#submissions_tp"
ref="section=Submissions&action=Click-on-Tooltip&label=submissions_tp"
data-section="Submissions" data-ga-action="Click-on-Tooltip"
data-ga-label="submissions_tp" class="fa fa-question-circle align-right ncbiPopper">
<span class="usa-sr-only">Help</span>
</a>
<p id="submissions_tp">
Submissions tab displays variations originally submitted to dbSNP, now supporting this RefSNP cluster (rs).
We display Submitter handle, Submission identifier, Date and Build number, when the submission appeared for the first time.
Direct submissions to dbSNP have Submission ID in the form of an ss-prefixed number (ss#). Other supporting variations are listed in the table without ss#.
</p>
<div class="sect_heading">
95 SubSNP,
24 Frequency,
4 ClinVar
submissions
</div>
<div id="submission">
<table id="submission_datatable" class="stripe">
<thead>
<tr>
<th>No</th>
<th>Submitter</th>
<th>Submission ID</th>
<th>Date (Build)</th>
</tr>
</thead>
<tbody>
<tr >
<td>1</td>
<td>
1000GENOMES
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss242744804">ss242744804</a>
</td>
<td>Jul 15, 2010
(132)
</td>
</tr>
<tr >
<td>2</td>
<td>
GMI
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss281709185">ss281709185</a>
</td>
<td>May 04, 2012
(137)
</td>
</tr>
<tr >
<td>3</td>
<td>
NHLBI-ESP
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss342376842">ss342376842</a>
</td>
<td>May 09, 2011
(134)
</td>
</tr>
<tr >
<td>4</td>
<td>
1000GENOMES
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss491059970">ss491059970</a>
</td>
<td>May 04, 2012
(137)
</td>
</tr>
<tr >
<td>5</td>
<td>
EXOME_CHIP
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss491478996">ss491478996</a>
</td>
<td>May 04, 2012
(137)
</td>
</tr>
<tr >
<td>6</td>
<td>
CLINSEQ_SNP
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss491679665">ss491679665</a>
</td>
<td>May 04, 2012
(137)
</td>
</tr>
<tr >
<td>7</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss534176105">ss534176105</a>
</td>
<td>Sep 08, 2015
(146)
</td>
</tr>
<tr >
<td>8</td>
<td>
SSMP
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss659263965">ss659263965</a>
</td>
<td>Apr 25, 2013
(138)
</td>
</tr>
<tr >
<td>9</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss780696745">ss780696745</a>
</td>
<td>Sep 08, 2015
(146)
</td>
</tr>
<tr >
<td>10</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss783370770">ss783370770</a>
</td>
<td>Sep 08, 2015
(146)
</td>
</tr>
<tr >
<td>11</td>
<td>
EVA-GONL
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss990376209">ss990376209</a>
</td>
<td>Aug 21, 2014
(142)
</td>
</tr>
<tr >
<td>12</td>
<td>
JMKIDD_LAB
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1067541419">ss1067541419</a>
</td>
<td>Aug 21, 2014
(142)
</td>
</tr>
<tr >
<td>13</td>
<td>
JMKIDD_LAB
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1079074755">ss1079074755</a>
</td>
<td>Aug 21, 2014
(142)
</td>
</tr>
<tr >
<td>14</td>
<td>
1000GENOMES
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1348163130">ss1348163130</a>
</td>
<td>Aug 21, 2014
(142)
</td>
</tr>
<tr >
<td>15</td>
<td>
EVA_GENOME_DK
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1576779808">ss1576779808</a>
</td>
<td>Apr 01, 2015
(144)
</td>
</tr>
<tr >
<td>16</td>
<td>
EVA_FINRISK
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1584087006">ss1584087006</a>
</td>
<td>Apr 01, 2015
(144)
</td>
</tr>
<tr >
<td>17</td>
<td>
EVA_UK10K_ALSPAC
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1630250999">ss1630250999</a>
</td>
<td>Apr 01, 2015
(144)
</td>
</tr>
<tr >
<td>18</td>
<td>
EVA_UK10K_TWINSUK
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1673245032">ss1673245032</a>
</td>
<td>Apr 01, 2015
(144)
</td>
</tr>
<tr >
<td>19</td>
<td>
EVA_DECODE
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1684899539">ss1684899539</a>
</td>
<td>Apr 01, 2015
(144)
</td>
</tr>
<tr >
<td>20</td>
<td>
EVA_EXAC
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1691286401">ss1691286401</a>
</td>
<td>Apr 01, 2015
(144)
</td>
</tr>
<tr >
<td>21</td>
<td>
EVA_MGP
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1711356953">ss1711356953</a>
</td>
<td>Apr 01, 2015
(144)
</td>
</tr>
<tr >
<td>22</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1752106539">ss1752106539</a>
</td>
<td>Sep 08, 2015
(146)
</td>
</tr>
<tr >
<td>23</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1917883412">ss1917883412</a>
</td>
<td>Feb 12, 2016
(147)
</td>
</tr>
<tr >
<td>24</td>
<td>
WEILL_CORNELL_DGM
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1933744658">ss1933744658</a>
</td>
<td>Feb 12, 2016
(147)
</td>
</tr>
<tr >
<td>25</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1946360848">ss1946360848</a>
</td>
<td>Feb 12, 2016
(147)
</td>
</tr>
<tr >
<td>26</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1959500732">ss1959500732</a>
</td>
<td>Feb 12, 2016
(147)
</td>
</tr>
<tr >
<td>27</td>
<td>
GENOMED
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss1967779984">ss1967779984</a>
</td>
<td>Jul 19, 2016
(147)
</td>
</tr>
<tr >
<td>28</td>
<td>
USC_VALOUEV
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss2155998095">ss2155998095</a>
</td>
<td>Dec 20, 2016
(150)
</td>
</tr>
<tr >
<td>29</td>
<td>
HUMAN_LONGEVITY
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss2196205416">ss2196205416</a>
</td>
<td>Dec 20, 2016
(150)
</td>
</tr>
<tr >
<td>30</td>
<td>
SYSTEMSBIOZJU
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss2628306397">ss2628306397</a>
</td>
<td>Nov 08, 2017
(151)
</td>
</tr>
<tr >
<td>31</td>
<td>
GRF
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss2700377287">ss2700377287</a>
</td>
<td>Nov 08, 2017
(151)
</td>
</tr>
<tr >
<td>32</td>
<td>
GNOMAD
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss2740407827">ss2740407827</a>
</td>
<td>Nov 08, 2017
(151)
</td>
</tr>
<tr >
<td>33</td>
<td>
GNOMAD
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss2749045207">ss2749045207</a>
</td>
<td>Nov 08, 2017
(151)
</td>
</tr>
<tr >
<td>34</td>
<td>
GNOMAD
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss2919475160">ss2919475160</a>
</td>
<td>Nov 08, 2017
(151)
</td>
</tr>
<tr >
<td>35</td>
<td>
SWEGEN
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3010996151">ss3010996151</a>
</td>
<td>Nov 08, 2017
(151)
</td>
</tr>
<tr >
<td>36</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3021507486">ss3021507486</a>
</td>
<td>Nov 08, 2017
(151)
</td>
</tr>
<tr >
<td>37</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3627062978">ss3627062978</a>
</td>
<td>Oct 12, 2018
(152)
</td>
</tr>
<tr >
<td>38</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3627062979">ss3627062979</a>
</td>
<td>Oct 12, 2018
(152)
</td>
</tr>
<tr >
<td>39</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3634544529">ss3634544529</a>
</td>
<td>Oct 12, 2018
(152)
</td>
</tr>
<tr >
<td>40</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3640251859">ss3640251859</a>
</td>
<td>Oct 12, 2018
(152)
</td>
</tr>
<tr >
<td>41</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3644613883">ss3644613883</a>
</td>
<td>Oct 12, 2018
(152)
</td>
</tr>
<tr >
<td>42</td>
<td>
OMUKHERJEE_ADBS
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3646453571">ss3646453571</a>
</td>
<td>Oct 12, 2018
(152)
</td>
</tr>
<tr >
<td>43</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3651895078">ss3651895078</a>
</td>
<td>Oct 12, 2018
(152)
</td>
</tr>
<tr >
<td>44</td>
<td>
EGCUT_WGS
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3678260260">ss3678260260</a>
</td>
<td>Jul 13, 2019
(153)
</td>
</tr>
<tr >
<td>45</td>
<td>
EVA_DECODE
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3695260932">ss3695260932</a>
</td>
<td>Jul 13, 2019
(153)
</td>
</tr>
<tr >
<td>46</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3725393476">ss3725393476</a>
</td>
<td>Jul 13, 2019
(153)
</td>
</tr>
<tr >
<td>47</td>
<td>
ACPOP
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3739734486">ss3739734486</a>
</td>
<td>Jul 13, 2019
(153)
</td>
</tr>
<tr >
<td>48</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3744405949">ss3744405949</a>
</td>
<td>Jul 13, 2019
(153)
</td>
</tr>
<tr >
<td>49</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3744845222">ss3744845222</a>
</td>
<td>Jul 13, 2019
(153)
</td>
</tr>
<tr >
<td>50</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3751446804">ss3751446804</a>
</td>
<td>Jul 13, 2019
(153)
</td>
</tr>
<tr >
<td>51</td>
<td>
ILLUMINA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3772344290">ss3772344290</a>
</td>
<td>Jul 13, 2019
(153)
</td>
</tr>
<tr >
<td>52</td>
<td>
KHV_HUMAN_GENOMES
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3816776967">ss3816776967</a>
</td>
<td>Jul 13, 2019
(153)
</td>
</tr>
<tr >
<td>53</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3824809197">ss3824809197</a>
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>54</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3825836770">ss3825836770</a>
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>55</td>
<td>
SGDP_PRJ
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3879945458">ss3879945458</a>
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>56</td>
<td>
KRGDB
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3928796480">ss3928796480</a>
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>57</td>
<td>
KOGIC
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3973534138">ss3973534138</a>
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>58</td>
<td>
NORTHRUP_AU
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3983908572">ss3983908572</a>
</td>
<td>Apr 26, 2021
(155)
</td>
</tr>
<tr >
<td>59</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3984680232">ss3984680232</a>
</td>
<td>Apr 26, 2021
(155)
</td>
</tr>
<tr >
<td>60</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss3986601559">ss3986601559</a>
</td>
<td>Apr 26, 2021
(155)
</td>
</tr>
<tr >
<td>61</td>
<td>
TOPMED
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss4945748797">ss4945748797</a>
</td>
<td>Apr 26, 2021
(155)
</td>
</tr>
<tr >
<td>62</td>
<td>
TOMMO_GENOMICS
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss6141981070">ss6141981070</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>63</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss6263383987">ss6263383987</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>64</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss6312201483">ss6312201483</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>65</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss6322482922">ss6322482922</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>66</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss6332662018">ss6332662018</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>67</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss6349855887">ss6349855887</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>68</td>
<td>
KOGIC
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss6388480928">ss6388480928</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>69</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss6404109698">ss6404109698</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>70</td>
<td>
GNOMAD
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss6449874857">ss6449874857</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>71</td>
<td>
GNOMAD
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss6934457438">ss6934457438</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>72</td>
<td>
TOMMO_GENOMICS
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8209927664">ss8209927664</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>73</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8236912911">ss8236912911</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>74</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8237526485">ss8237526485</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>75</td>
<td>
1000G_HIGH_COVERAGE
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8293681739">ss8293681739</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>76</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8315683113">ss8315683113</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>77</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8410673317">ss8410673317</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>78</td>
<td>
HUGCELL_USP
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8488050564">ss8488050564</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>79</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8512473934">ss8512473934</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>80</td>
<td>
1000G_HIGH_COVERAGE
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8592604361">ss8592604361</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>81</td>
<td>
SANFORD_IMAGENETICS
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8654740848">ss8654740848</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>82</td>
<td>
TOMMO_GENOMICS
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8761783019">ss8761783019</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>83</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8799403956">ss8799403956</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>84</td>
<td>
YY_MCH
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8814099693">ss8814099693</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>85</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8839455840">ss8839455840</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>86</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8847424331">ss8847424331</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>87</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8847698401">ss8847698401</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>88</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8850723460">ss8850723460</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>89</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8925048516">ss8925048516</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>90</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8946160108">ss8946160108</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>91</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8979418360">ss8979418360</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>92</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8981479075">ss8981479075</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>93</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8981769111">ss8981769111</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>94</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8981769112">ss8981769112</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>95</td>
<td>
EVA
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/projects/SNP/snp_ss.cgi?subsnp_id=ss8982214069">ss8982214069</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>96</td>
<td>
1000Genomes
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Oct 12, 2018
(152)
</td>
</tr>
<tr >
<td>97</td>
<td>
1000Genomes_30X
</td>
<td>
NC_000013.11 - 48045719
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>98</td>
<td>
The Avon Longitudinal Study of Parents and Children
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Oct 12, 2018
(152)
</td>
</tr>
<tr >
<td>99</td>
<td>
Genetic variation in the Estonian population
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Oct 12, 2018
(152)
</td>
</tr>
<tr >
<td>100</td>
<td>
ExAC
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Oct 12, 2018
(152)
</td>
</tr>
<tr >
<td>101</td>
<td>
FINRISK
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>102</td>
<td>
The Danish reference pan genome
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>103</td>
<td>
gnomAD v4 - Exomes
</td>
<td>
NC_000013.11 - 48045719
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>104</td>
<td>
gnomAD v4 - Genomes
</td>
<td>
NC_000013.11 - 48045719
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>105</td>
<td>
GO Exome Sequencing Project
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Oct 12, 2018
(152)
</td>
</tr>
<tr >
<td>106</td>
<td>
Genome of the Netherlands Release 5
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>107</td>
<td>
KOREAN population from KRGDB
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>108</td>
<td>
Korean Genome Project
</td>
<td>
NC_000013.11 - 48045719
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>109</td>
<td>
Korean Genome Project 4K
</td>
<td>
NC_000013.11 - 48045719
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>110</td>
<td>
Medical Genome Project healthy controls from Spanish population
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>111</td>
<td>
Northern Sweden
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Jul 13, 2019
(153)
</td>
</tr>
<tr >
<td>112</td>
<td>
CNV burdens in cranial meningiomas
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Apr 26, 2021
(155)
</td>
</tr>
<tr >
<td>113</td>
<td>
Qatari
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>114</td>
<td>
SGDP_PRJ
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>115</td>
<td>
Siberian
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Apr 27, 2020
(154)
</td>
</tr>
<tr >
<td>116</td>
<td>
38KJPN
</td>
<td>
NC_000013.11 - 48045719
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>117</td>
<td>
TopMed
</td>
<td>
NC_000013.11 - 48045719
</td>
<td>Apr 26, 2021
(155)
</td>
</tr>
<tr >
<td>118</td>
<td>
UK 10K study - Twins
</td>
<td>
NC_000013.10 - 48619855
</td>
<td>Oct 12, 2018
(152)
</td>
</tr>
<tr >
<td>119</td>
<td>
ALFA
</td>
<td>
NC_000013.11 - 48045719
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>120</td>
<td>
ClinVar
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/clinvar/RCV000210853.10/">RCV000210853.10</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>121</td>
<td>
ClinVar
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/clinvar/RCV001787328.10/">RCV001787328.10</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>122</td>
<td>
ClinVar
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/clinvar/RCV001788069.9/">RCV001788069.9</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
<tr >
<td>123</td>
<td>
ClinVar
</td>
<td>
<a target="_blank" data-section="Submissions"
data-ga-action="Click-on" data-ga-label="Submission_ID_link"
ref="section=Submissions&action=Click-on&label=Submission_ID_link"
href="/clinvar/RCV003982953.1/">RCV003982953.1</a>
</td>
<td>Nov 03, 2024
(157)
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div id="history" class="js-tabcontent">
<a data-width="640px" href="#history_tp"
ref="section=History&action=Click-on-Tooltip&label=history_tp"
data-section="History" data-ga-action="Click-on-Tooltip" data-ga-label="history_tp"
class="fa fa-question-circle align-right ncbiPopper">
<span class="usa-sr-only">Help</span>
</a>
<p id="history_tp">
History tab displays RefSNPs (Associated ID) from previous builds (Build) that now support the current RefSNP, and the dates, when the history was updated for each Associated ID (History Updated).</p>
<div id="obs_present">
<span>Added to this RefSNP Cluster:</span>
<table id="obs_present_table" class="observation_table stripe">
<thead>
<tr>
<th>Submission IDs</th>
<th>Observation <a href="/variation/notation/">SPDI</a></th>
<th>Canonical <a href="/variation/notation/">SPDI</a></th>
<th>Source RSIDs</th>
</tr>
</thead>
<tbody>
<tr>
<td>
ss281709185,
ss491679665,
ss1684899539
</td>
<td>
NC_000013.9:47517855:C:T
</td>
<td>
NC_000013.11:48045718:C:T
</td>
<td>
(self)
</td>
</tr>
<tr>
<td>
61032247,
33907527,
23998508,
1615158,
83467,
3293761,
1266584,
15129170,
35973874,
472713,
13019351,
229737,
15786588,
31962438,
8514449,
33907527,
ss242744804,
ss342376842,
ss491059970,
ss491478996,
ss534176105,
ss659263965,
ss780696745,
ss783370770,
ss990376209,
ss1067541419,
ss1079074755,
ss1348163130,
ss1576779808,
ss1584087006,
ss1630250999,
ss1673245032,
ss1691286401,
ss1711356953,
ss1752106539,
ss1917883412,
ss1933744658,
ss1946360848,
ss1959500732,
ss1967779984,
ss2155998095,
ss2628306397,
ss2700377287,
ss2740407827,
ss2749045207,
ss2919475160,
ss3010996151,
ss3021507486,
ss3627062978,
ss3627062979,
ss3634544529,
ss3640251859,
ss3644613883,
ss3646453571,
ss3651895078,
ss3678260260,
ss3739734486,
ss3744405949,
ss3744845222,
ss3751446804,
ss3772344290,
ss3824809197,
ss3825836770,
ss3879945458,
ss3928796480,
ss3983908572,
ss3984680232,
ss3986601559,
ss6263383987,
ss6312201483,
ss6322482922,
ss6332662018,
ss6349855887,
ss8209927664,
ss8237526485,
ss8315683113,
ss8410673317,
ss8512473934,
ss8654740848,
ss8799403956,
ss8839455840,
ss8847424331,
ss8847698401,
ss8946160108,
ss8979418360,
ss8981479075,
ss8981769111,
ss8981769112,
ss8982214069
</td>
<td>
NC_000013.10:48619854:C:T
</td>
<td>
NC_000013.11:48045718:C:T
</td>
<td>
(self)
</td>
</tr>
<tr>
<td>
RCV000210853.10,
RCV001787328.10,
RCV001788069.9,
RCV003982953.1,
80130296,
45203822,
461776007,
29912139,
38332826,
159356890,
161294455,
4372359476,
ss2196205416,
ss3695260932,
ss3725393476,
ss3816776967,
ss3973534138,
ss4945748797,
ss6141981070,
ss6388480928,
ss6404109698,
ss6449874857,
ss6934457438,
ss8236912911,
ss8293681739,
ss8488050564,
ss8592604361,
ss8761783019,
ss8814099693,
ss8850723460,
ss8925048516
</td>
<td>
NC_000013.11:48045718:C:T
</td>
<td>
NC_000013.11:48045718:C:T
</td>
<td>
(self)
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div id="publications" class="js-tabcontent">
<a data-width="640px" href="#publications_tp"
ref="section=Publications&action=Click-on-Tooltip&label=publications_tp"
data-section="Publications" data-ga-action="Click-on-Tooltip"
data-ga-label="publications_tp" class="fa fa-question-circle align-right ncbiPopper">
<span class="usa-sr-only">Help</span>
</a>
<p id="publications_tp">
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.</p>
<div class="sect_heading">
16
citations for rs116855232
</div>
<div id="publication">
<table id="publication_datatable" class="stripe">
<thead>
<tr>
<th>PMID</th>
<th class="fir_col">Title</th>
<th>Author</th>
<th>Year</th>
<th>Journal</th>
</tr>
</thead>
<tbody>
<tr>
<td><a target="_blank" href="/pubmed/22992668"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">22992668</a>
</td>
<td class="fir_col">Pharmacogenomics knowledge for personalized medicine.</td>
<td>Whirl-Carrillo M et al.</td>
<td>2012</td>
<td>Clinical pharmacology and therapeutics</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/25108385"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">25108385</a>
</td>
<td class="fir_col">A common missense variant in NUDT15 confers susceptibility to thiopurine-induced leukopenia.</td>
<td>Yang SK et al.</td>
<td>2014</td>
<td>Nature genetics</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/25624441"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">25624441</a>
</td>
<td class="fir_col">Inherited NUDT15 variant is a genetic determinant of mercaptopurine intolerance in children with acute lymphoblastic leukemia.</td>
<td>Yang JJ et al.</td>
<td>2015</td>
<td>Journal of clinical oncology </td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/26033531"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">26033531</a>
</td>
<td class="fir_col">Susceptibility to 6-MP toxicity conferred by a NUDT15 variant in Japanese children with acute lymphoblastic leukaemia.</td>
<td>Tanaka Y et al.</td>
<td>2015</td>
<td>British journal of haematology</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/26076924"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">26076924</a>
</td>
<td class="fir_col">NUDT15 R139C causes thiopurine-induced early severe hair loss and leukopenia in Japanese patients with IBD.</td>
<td>Kakuta Y et al.</td>
<td>2016</td>
<td>The pharmacogenomics journal</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/26405151"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">26405151</a>
</td>
<td class="fir_col">NUDT15 c.415C>T increases risk of 6-mercaptopurine induced myelosuppression during maintenance therapy in children with acute lymphoblastic leukemia.</td>
<td>Chiengthong K et al.</td>
<td>2016</td>
<td>Haematologica</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/26503813"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">26503813</a>
</td>
<td class="fir_col">NUDT15 gene polymorphism related to mercaptopurine intolerance in Taiwan Chinese children with acute lymphoblastic leukemia.</td>
<td>Liang DC et al.</td>
<td>2016</td>
<td>The pharmacogenomics journal</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/26590936"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">26590936</a>
</td>
<td class="fir_col">NUDT15 R139C-related thiopurine leukocytopenia is mediated by 6-thioguanine nucleotide-independent mechanism in Japanese patients with inflammatory bowel disease.</td>
<td>Asada A et al.</td>
<td>2016</td>
<td>Journal of gastroenterology</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/26735160"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">26735160</a>
</td>
<td class="fir_col">NUDT15 variant is the most common variant associated with thiopurine-induced early leukopenia and alopecia in Korean pediatric patients with Crohn's disease.</td>
<td>Lee YJ et al.</td>
<td>2016</td>
<td>European journal of gastroenterology & hepatology</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/26878724"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">26878724</a>
</td>
<td class="fir_col">NUDT15 polymorphisms alter thiopurine metabolism and hematopoietic toxicity.</td>
<td>Moriyama T et al.</td>
<td>2016</td>
<td>Nature genetics</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/27095468"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">27095468</a>
</td>
<td class="fir_col">NUDT15 variant and thiopurine-induced leukopenia in Hong Kong.</td>
<td>Wong FC et al.</td>
<td>2016</td>
<td>Hong Kong medical journal = Xianggang yi xue za zhi</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/27193222"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">27193222</a>
</td>
<td class="fir_col">Genotyping NUDT15 can predict the dose reduction of 6-MP for children with acute lymphoblastic leukemia especially at a preschool age.</td>
<td>Suzuki H et al.</td>
<td>2016</td>
<td>Journal of human genetics</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/27381176"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">27381176</a>
</td>
<td class="fir_col">Further evidence that a variant of the gene NUDT15 may be an important predictor of azathioprine-induced toxicity in Chinese subjects: a case report.</td>
<td>Ailing Z et al.</td>
<td>2016</td>
<td>Journal of clinical pharmacy and therapeutics</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/27416873"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">27416873</a>
</td>
<td class="fir_col">Nucleoside diphosphate-linked moiety X-type motif 15 C415T variant as a predictor for thiopurine-induced toxicity in Indian patients.</td>
<td>Shah SA et al.</td>
<td>2017</td>
<td>Journal of gastroenterology and hepatology</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/27577869"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">27577869</a>
</td>
<td class="fir_col">NUDT15 and TPMT genetic polymorphisms are related to 6-mercaptopurine intolerance in children treated for acute lymphoblastic leukemia at the Children's Cancer Center of Lebanon.</td>
<td>Zgheib NK et al.</td>
<td>2017</td>
<td>Pediatric blood & cancer</td>
</tr>
<tr>
<td><a target="_blank" href="/pubmed/27604507"
ref="section=Publications&action=Click-on&label=PMID_link"
data-section="Publications" data-ga-action="Click-on"
data-ga-label="PMID_link">27604507</a>
</td>
<td class="fir_col">NUDT15 polymorphisms are better than thiopurine S-methyltransferase as predictor of risk for thiopurine-induced leukopenia in Chinese patients with Crohn's disease.</td>
<td>Zhu X et al.</td>
<td>2016</td>
<td>Alimentary pharmacology & therapeutics</td>
</tr>
</tbody>
</table>
</div>
<a ref="section=Publications&action=Click-on&label=View_All_link" target="_blank"
href="/pubmed?term=22992668,25108385,25624441,26033531,26076924,26405151,26503813,26590936,26735160,26878724,27095468,27193222,27381176,27416873,27577869,27604507"
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<p id="flanks_tp">The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.</p>
<div id="flanks_container">
<div id="context_container">
<span class="sect_heading">
Genome context:
</span>
<select id="flank_context">
<option value="option1"
selected="selected"
seq_acc_ver="NC_000013.11" position="48045719"
assmacc="GCF_000001405.40" ref_allele="C"
variant_type="snv">
GRCh38.p14 ( NC_000013.11 )
</option>
<option value="option2"
seq_acc_ver="NC_000013.10" position="48619855"
assmacc="GCF_000001405.25" ref_allele="C"
variant_type="snv">
GRCh37.p13 ( NC_000013.10 )
</option>
<option value="option3"
seq_acc_ver="NG_047021.1" position="13153"
assmacc="" ref_allele="C"
variant_type="snv">
NG_047021.1
</option>
</select>
</div>
<span class="sect_heading">
Select flank length:
</span>
<select id="flank_length">
<option value="25"
selected="selected">
25 nt</option>
<option value="50"
>
50 nt</option>
<option value="100"
>
100 nt</option>
<option value="200"
>
200 nt</option>
</select>
<button id="retrieve_flank" class="usa-button-outline" type="button">Retrieve</button>
<div id="flanking_sequence">
</div>
</div>
</div>
</div>
<div class="usa-row">
<h3 id="seq_hash" class="green-heading">Genomic regions, transcripts, and products
<div>
<span><a href="#top" ref="section=Sequence Viewer&action=Click-on&label=Top_link"
data-section="Sequence Viewer" data-ga-action="Click-on"
data-ga-label="Top_link">Top</a></span><span>▲</span>
<a data-width="640px" href="#sequence_viewer_tp"
ref="section=Sequence Viewer&action=Click-on-Tooltip&label=sequence_viewer_tp"
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<p id="sequence_viewer_tp">
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).<br/>
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.<br/>
Visit <a class="external-link" href="/tools/sviewer/" target="_blank">Sequence Viewer</a> for help with navigating inside the display and modifying the selection of displayed data tracks.</p>
</div>
</h3>
<div id="sequence">
<div id="seq_div" class="usa-width-one-whole">
<label for="seq_sel">Choose placement</label>
<select id="seq_sel">
<option value="option1"
selected="selected"
data-svparams="id=NC_000013.11&assm_context=GCF_000001405.40&v=48045669.0:48045769.0&mk=48045719|rs116855232!&theme=SNP_ref"
data-assmacc="GCF_000001405.40" data-rsid="116855232">
GRCh38.p14 ( NC_000013.11 )
</option>
<option value="option2"
data-svparams="id=NC_000013.10&assm_context=GCF_000001405.25&v=48619805.0:48619905.0&mk=48619855|rs116855232!&theme=SNP_ref"
data-assmacc="GCF_000001405.25" data-rsid="116855232">
GRCh37.p13 ( NC_000013.10 )
</option>
<option value="option3"
data-svparams="id=NG_047021.1&assm_context=&v=13103.0:13203.0&mk=13153|rs116855232!&theme=SNP_ref"
data-assmacc="" data-rsid="116855232">
NG_047021.1
</option>
</select>
<div class="align-right">
<a href="#"
ref="section=Sequence Viewer&action=Click-on&label=See_rs_in_Variation_Viewer_link"
data-section="Sequence Viewer" data-ga-action="Click-on"
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<button title="see rs116855232 and neighboring variants in Variation Viewer"
class="usa-button-outline" id="variation_viewer_btn" type="button">See rs116855232
in Variation Viewer
</button>
</a>
</div>
</div>
<div class="usa-width-one-whole">
<div id="sv1" class="SeqViewerApp align-right">
<a href="?embedded=true&app_context=Variation_Viewer_2-1&id=NC_000013.11"
aria-hidden="true"></a>
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