dbSNP Short Genetic Variations
Welcome to the Reference SNP (rs) Report
All alleles are reported in the Forward orientation. Click on the Variant Details tab for details on Genomic Placement, Gene, and Amino Acid changes. HGVS names are in the HGVS tab.
Reference SNP (rs) Report
This page reports data for a single dbSNP Reference SNP variation (RefSNP or rs) from the new redesigned dbSNP build.
Top of the page reports a concise summary for the rs, with more specific details included in the corresponding tabs below.
All alleles are reported in the Forward orientation. Use the Genomic View to inspect the nucleotides flanking the variant, and its neighbors.
For more information see Help documentation.
rs1801253
Current Build 157
Released September 3, 2024
- Organism
- Homo sapiens
- Position
-
chr10:114045297 (GRCh38.p14) Help
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 here for details.
- Alleles
- G>A / G>C
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
G=0.2650035 (362529/1368016, GnomAD_exomes)G=0.307038 (81270/264690, TOPMED)G=0.303100 (44746/147628, GnomAD_genomes) (+ 21 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- ADRB1 : Missense Variant
- Publications
- 83 citations
- Genomic View
- See rs on genome
ALFA Allele Frequency
The ALFA project provide aggregate allele frequency from dbGaP. More information is available on the project page including descriptions, data access, and terms of use.
Release Version: 20231103111315
| Population | Group | Sample Size | Ref Allele | Alt Allele | Ref HMOZ | Alt HMOZ | HTRZ | HWEP |
|---|---|---|---|---|---|---|---|---|
| Total | Global | 48834 | G=0.29066 | C=0.70934 | 0.08961 | 0.508293 | 0.402097 | 9 |
| European | Sub | 36936 | G=0.27913 | C=0.72087 | 0.081709 | 0.523446 | 0.394845 | 4 |
| African | Sub | 3558 | G=0.4092 | C=0.5908 | 0.166948 | 0.34851 | 0.484542 | 0 |
| African Others | Sub | 122 | G=0.402 | C=0.598 | 0.180328 | 0.377049 | 0.442623 | 0 |
| African American | Sub | 3436 | G=0.4095 | C=0.5905 | 0.166473 | 0.347497 | 0.48603 | 0 |
| Asian | Sub | 168 | G=0.351 | C=0.649 | 0.130952 | 0.428571 | 0.440476 | 0 |
| East Asian | Sub | 112 | G=0.321 | C=0.679 | 0.089286 | 0.446429 | 0.464286 | 0 |
| Other Asian | Sub | 56 | G=0.41 | C=0.59 | 0.214286 | 0.392857 | 0.392857 | 1 |
| Latin American 1 | Sub | 488 | G=0.320 | C=0.680 | 0.094262 | 0.454918 | 0.45082 | 0 |
| Latin American 2 | Sub | 626 | G=0.190 | C=0.810 | 0.035144 | 0.654952 | 0.309904 | 0 |
| South Asian | Sub | 98 | G=0.31 | C=0.69 | 0.102041 | 0.489796 | 0.408163 | 0 |
| Other | Sub | 6960 | G=0.2966 | C=0.7034 | 0.095402 | 0.502299 | 0.402299 | 3 |
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").
Download| Study | Population | Group | Sample Size | Ref Allele | Alt Allele |
|---|---|---|---|---|---|
| gnomAD v4 - Exomes | Global | Study-wide | 1368016 | G=0.2650035 | C=0.7349965 |
| gnomAD v4 - Exomes | European | Sub | 1145064 | G=0.2645791 | C=0.7354209 |
| gnomAD v4 - Exomes | South Asian | Sub | 82964 | G=0.24460 | C=0.75540 |
| gnomAD v4 - Exomes | American | Sub | 41450 | G=0.15373 | C=0.84627 |
| gnomAD v4 - Exomes | East Asian | Sub | 36338 | G=0.21872 | C=0.78128 |
| gnomAD v4 - Exomes | African | Sub | 31314 | G=0.42135 | C=0.57865 |
| gnomAD v4 - Exomes | Ashkenazi Jewish | Sub | 25222 | G=0.37959 | C=0.62041 |
| gnomAD v4 - Exomes | Middle Eastern | sub | 5664 | G=0.3863 | C=0.6137 |
| TopMed | Global | Study-wide | 264690 | G=0.307038 | C=0.692962 |
| gnomAD v4 - Genomes | Global | Study-wide | 147628 | G=0.303100 | C=0.696900 |
| gnomAD v4 - Genomes | European | Sub | 77364 | G=0.26627 | C=0.73373 |
| gnomAD v4 - Genomes | African | Sub | 41352 | G=0.40738 | C=0.59262 |
| gnomAD v4 - Genomes | American | Sub | 15182 | G=0.22342 | C=0.77658 |
| gnomAD v4 - Genomes | East Asian | Sub | 5154 | G=0.2371 | C=0.7629 |
| gnomAD v4 - Genomes | South Asian | Sub | 4832 | G=0.2618 | C=0.7382 |
| gnomAD v4 - Genomes | Ashkenazi Jewish | Sub | 3452 | G=0.3792 | C=0.6208 |
| gnomAD v4 - Genomes | Middle Eastern | sub | 292 | G=0.384 | C=0.616 |
| ExAC | Global | Study-wide | 112236 | G=0.263997 | C=0.736003 |
| ExAC | Europe | Sub | 67280 | G=0.27530 | C=0.72470 |
| ExAC | Asian | Sub | 24418 | G=0.24158 | C=0.75842 |
| ExAC | American | Sub | 11198 | G=0.13520 | C=0.86480 |
| ExAC | African | Sub | 8512 | G=0.4078 | C=0.5922 |
| ExAC | Other | Sub | 828 | G=0.271 | C=0.729 |
| 38KJPN | JAPANESE | Study-wide | 77432 | G=0.19642 | C=0.80358 |
| Allele Frequency Aggregator | Total | Global | 48834 | G=0.29066 | C=0.70934 |
| Allele Frequency Aggregator | European | Sub | 36936 | G=0.27913 | C=0.72087 |
| Allele Frequency Aggregator | Other | Sub | 6960 | G=0.2966 | C=0.7034 |
| Allele Frequency Aggregator | African | Sub | 3558 | G=0.4092 | C=0.5908 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 626 | G=0.190 | C=0.810 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 488 | G=0.320 | C=0.680 |
| Allele Frequency Aggregator | Asian | Sub | 168 | G=0.351 | C=0.649 |
| Allele Frequency Aggregator | South Asian | Sub | 98 | G=0.31 | C=0.69 |
| PharmGKB Aggregated | Global | Study-wide | 15156 | G=0.30351 | C=0.69649 |
| PharmGKB Aggregated | PA159632416 | Sub | 6128 | G=0.2846 | C=0.7154 |
| PharmGKB Aggregated | PA142850942 | Sub | 5740 | G=0.3303 | C=0.6697 |
| PharmGKB Aggregated | PA140545282 | Sub | 1328 | G=0.2824 | C=0.7176 |
| PharmGKB Aggregated | PA141065571 | Sub | 1088 | G=0.3162 | C=0.6838 |
| PharmGKB Aggregated | PA129963455 | Sub | 398 | G=0.211 | C=0.789 |
| PharmGKB Aggregated | PA152253465 | Sub | 302 | G=0.262 | C=0.738 |
| PharmGKB Aggregated | PA134857826 | Sub | 172 | G=0.453 | C=0.547 |
| Korean Genome Project 4K | KOREAN | Study-wide | 6866 | G=0.2255 | C=0.7745 |
| 1000Genomes_30X | Global | Study-wide | 6404 | G=0.3011 | C=0.6989 |
| 1000Genomes_30X | African | Sub | 1786 | G=0.4345 | C=0.5655 |
| 1000Genomes_30X | Europe | Sub | 1266 | G=0.3065 | C=0.6935 |
| 1000Genomes_30X | South Asian | Sub | 1202 | G=0.2646 | C=0.7354 |
| 1000Genomes_30X | East Asian | Sub | 1170 | G=0.2120 | C=0.7880 |
| 1000Genomes_30X | American | Sub | 980 | G=0.202 | C=0.798 |
| 1000Genomes | Global | Study-wide | 5008 | G=0.2983 | C=0.7017 |
| 1000Genomes | African | Sub | 1322 | G=0.4297 | C=0.5703 |
| 1000Genomes | East Asian | Sub | 1008 | G=0.2123 | C=0.7877 |
| 1000Genomes | Europe | Sub | 1006 | G=0.3151 | C=0.6849 |
| 1000Genomes | South Asian | Sub | 978 | G=0.266 | C=0.734 |
| 1000Genomes | American | Sub | 694 | G=0.195 | C=0.805 |
| Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | G=0.2411 | C=0.7589 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | G=0.2483 | C=0.7517 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | G=0.2759 | C=0.7241 |
| KOREAN population from KRGDB | KOREAN | Study-wide | 2800 | G=0.2250 | A=0.0000, C=0.7750 |
| A Vietnamese Genetic Variation Database | Global | Study-wide | 611 | G=0.211 | C=0.789 |
| Northern Sweden | ACPOP | Study-wide | 600 | G=0.277 | C=0.723 |
| Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | G=0.700 | C=0.300 |
| SGDP_PRJ | Global | Study-wide | 508 | G=0.163 | C=0.837 |
| HapMap | Global | Study-wide | 326 | G=0.307 | C=0.693 |
| HapMap | African | Sub | 120 | G=0.408 | C=0.592 |
| HapMap | American | Sub | 120 | G=0.317 | C=0.683 |
| HapMap | Asian | Sub | 86 | G=0.15 | C=0.85 |
| FINRISK | Finnish from FINRISK project | Study-wide | 296 | G=0.233 | C=0.767 |
| Qatari | Global | Study-wide | 216 | G=0.421 | C=0.579 |
| Siberian | Global | Study-wide | 54 | G=0.09 | C=0.91 |
| Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 48 | G=0.21 | C=0.79 |
| The Danish reference pan genome | Danish | Study-wide | 38 | G=0.18 | C=0.82 |
Help
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 molecular consequences from Sequence Ontology. 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.
Genomic Placements
| Sequence name | Change |
|---|---|
| GRCh38.p14 chr 10 | NC_000010.11:g.114045297G>A |
| GRCh38.p14 chr 10 | NC_000010.11:g.114045297G>C |
| GRCh37.p13 chr 10 | NC_000010.10:g.115805056G>A |
| GRCh37.p13 chr 10 | NC_000010.10:g.115805056G>C |
| ADRB1 RefSeqGene | NG_012187.1:g.6251G>A |
| ADRB1 RefSeqGene | NG_012187.1:g.6251G>C |
Gene: ADRB1, adrenoceptor beta 1
(plus strand)
| Molecule type | Change | Amino acid[Codon] | SO Term |
|---|---|---|---|
| ADRB1 transcript | NM_000684.3:c.1165G>A | G [GGA] > R [AGA] | Coding Sequence Variant |
| beta-1 adrenergic receptor | NP_000675.1:p.Gly389Arg | G (Gly) > R (Arg) | Missense Variant |
| ADRB1 transcript | NM_000684.3:c.1165G>C | G [GGA] > R [CGA] | Coding Sequence Variant |
| beta-1 adrenergic receptor | NP_000675.1:p.Gly389Arg | G (Gly) > R (Arg) | Missense Variant |
Help
Clinical Significance tab shows a list of clinical significance entries from ClinVar associated with the variation, per allele. Click on the RCV accession (i.e. RCV000001615.2) or Allele ID (i.e. 12274) to access full ClinVar report.
Allele: C (allele ID:
32785
)
| ClinVar Accession | Disease Names | Clinical Significance |
|---|---|---|
| RCV000019322.4 | RECLASSIFIED - ADRB1 POLYMORPHISM | Benign |
| RCV002508776.1 | Pulmonary disease, chronic obstructive, susceptibility to | Association |
| RCV003974844.1 | ADRB1-related disorder | Benign |
Help
Aliases tab displays HGVS names representing the variant placements and allele changes on genomic, transcript and protein sequences, per allele. HGVS name 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".
| Placement | G= | A | C |
|---|---|---|---|
| GRCh38.p14 chr 10 | NC_000010.11:g.114045297= | NC_000010.11:g.114045297G>A | NC_000010.11:g.114045297G>C |
| GRCh37.p13 chr 10 | NC_000010.10:g.115805056= | NC_000010.10:g.115805056G>A | NC_000010.10:g.115805056G>C |
| ADRB1 RefSeqGene | NG_012187.1:g.6251= | NG_012187.1:g.6251G>A | NG_012187.1:g.6251G>C |
| ADRB1 transcript | NM_000684.3:c.1165= | NM_000684.3:c.1165G>A | NM_000684.3:c.1165G>C |
| ADRB1 transcript | NM_000684.2:c.1165= | NM_000684.2:c.1165G>A | NM_000684.2:c.1165G>C |
| beta-1 adrenergic receptor | NP_000675.1:p.Gly389= | NP_000675.1:p.Gly389Arg | NP_000675.1:p.Gly389Arg |
Help
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#.
147 SubSNP,
26 Frequency,
3 ClinVar
submissions
| No | Submitter | Submission ID | Date (Build) |
|---|---|---|---|
| 1 | HGBASE | ss2421491 | Nov 14, 2000 (89) |
| 2 | BCM_SSAHASNP | ss10583468 | Jul 11, 2003 (116) |
| 3 | WI_SSAHASNP | ss12060750 | Jul 11, 2003 (116) |
| 4 | CSHL-HAPMAP | ss16486007 | Feb 27, 2004 (120) |
| 5 | SSAHASNP | ss20730945 | Apr 05, 2004 (123) |
| 6 | SEQUENOM | ss24803559 | Sep 20, 2004 (123) |
| 7 | PGA-UW-FHCRC | ss28525353 | Dec 02, 2004 (124) |
| 8 | ABI | ss38568848 | Mar 10, 2006 (126) |
| 9 | RIKENSNPRC | ss49847787 | Mar 10, 2006 (126) |
| 10 | PHARMGKB_CREATE | ss69367179 | May 18, 2007 (127) |
| 11 | PHARMGKB_INVEST | ss69368395 | May 18, 2007 (127) |
| 12 | PHARMGKB_APP | ss69369186 | May 18, 2007 (127) |
| 13 | CGM_KYOTO | ss76866780 | Dec 06, 2007 (129) |
| 14 | PHARMGKB_GERA | ss84129481 | Dec 15, 2007 (130) |
| 15 | PHARMGKB_CREATE | ss84173035 | Dec 15, 2007 (130) |
| 16 | BCMHGSC_JDW | ss88362344 | Mar 23, 2008 (129) |
| 17 | CNG | ss95210592 | Mar 25, 2008 (129) |
| 18 | HUMANGENOME_JCVI | ss97585731 | Feb 05, 2009 (130) |
| 19 | PHARMGKB_PEAR | ss105108111 | Feb 05, 2009 (130) |
| 20 | PHARMGKB_INVEST | ss105110336 | Feb 05, 2009 (130) |
| 21 | BGI | ss106703109 | Feb 05, 2009 (130) |
| 22 | ENSEMBL | ss131842762 | Dec 01, 2009 (131) |
| 23 | ENSEMBL | ss132098865 | Dec 01, 2009 (131) |
| 24 | SEATTLESEQ | ss159721476 | Dec 01, 2009 (131) |
| 25 | COMPLETE_GENOMICS | ss168752685 | Jul 04, 2010 (132) |
| 26 | ILLUMINA | ss172925432 | Jul 04, 2010 (132) |
| 27 | BUSHMAN | ss202046906 | Jul 04, 2010 (132) |
| 28 | BCM-HGSC-SUB | ss207417401 | Jul 04, 2010 (132) |
| 29 | 1000GENOMES | ss224953275 | Jul 14, 2010 (132) |
| 30 | 1000GENOMES | ss235342767 | Jul 15, 2010 (132) |
| 31 | 1000GENOMES | ss242016132 | Jul 15, 2010 (132) |
| 32 | OMICIA | ss244238804 | May 27, 2010 (132) |
| 33 | ILLUMINA | ss244285121 | Jul 04, 2010 (132) |
| 34 | OMIM-CURATED-RECORDS | ss263197783 | Nov 04, 2010 (133) |
| 35 | PJP | ss290936052 | May 09, 2011 (134) |
| 36 | NHLBI-ESP | ss342308938 | May 09, 2011 (134) |
| 37 | ILLUMINA | ss410916068 | Sep 17, 2011 (135) |
| 38 | 1000GENOMES | ss491005343 | May 04, 2012 (137) |
| 39 | EXOME_CHIP | ss491440883 | May 04, 2012 (137) |
| 40 | CLINSEQ_SNP | ss491632867 | May 04, 2012 (137) |
| 41 | SSMP | ss657395475 | Apr 25, 2013 (138) |
| 42 | ILLUMINA | ss780890902 | Sep 08, 2015 (146) |
| 43 | ILLUMINA | ss783577243 | Sep 08, 2015 (146) |
| 44 | EVA-GONL | ss987946940 | Aug 21, 2014 (142) |
| 45 | JMKIDD_LAB | ss1067516432 | Aug 21, 2014 (142) |
| 46 | 1000GENOMES | ss1339164214 | Aug 21, 2014 (142) |
| 47 | EVA_GENOME_DK | ss1575368100 | Apr 01, 2015 (144) |
| 48 | EVA_FINRISK | ss1584070579 | Apr 01, 2015 (144) |
| 49 | EVA_DECODE | ss1597625094 | Apr 01, 2015 (144) |
| 50 | EVA_UK10K_ALSPAC | ss1625491405 | Apr 01, 2015 (144) |
| 51 | EVA_UK10K_TWINSUK | ss1668485438 | Apr 01, 2015 (144) |
| 52 | EVA_EXAC | ss1690088686 | Apr 01, 2015 (144) |
| 53 | EVA_MGP | ss1711270703 | Apr 01, 2015 (144) |
| 54 | ILLUMINA | ss1751948297 | Sep 08, 2015 (146) |
| 55 | ILLUMINA | ss1917851882 | Feb 12, 2016 (147) |
| 56 | WEILL_CORNELL_DGM | ss1931306963 | Feb 12, 2016 (147) |
| 57 | ILLUMINA | ss1946293855 | Feb 12, 2016 (147) |
| 58 | ILLUMINA | ss1959296511 | Feb 12, 2016 (147) |
| 59 | GENOMED | ss1967229286 | Jul 19, 2016 (147) |
| 60 | JJLAB | ss2026386754 | Sep 14, 2016 (149) |
| 61 | USC_VALOUEV | ss2154664369 | Dec 20, 2016 (150) |
| 62 | GRF | ss2698922484 | Nov 08, 2017 (151) |
| 63 | ILLUMINA | ss2710721025 | Nov 08, 2017 (151) |
| 64 | GNOMAD | ss2738539999 | Nov 08, 2017 (151) |
| 65 | GNOMAD | ss2748476033 | Nov 08, 2017 (151) |
| 66 | GNOMAD | ss2893674533 | Nov 08, 2017 (151) |
| 67 | AFFY | ss2985571628 | Nov 08, 2017 (151) |
| 68 | SWEGEN | ss3007188252 | Nov 08, 2017 (151) |
| 69 | ILLUMINA | ss3021277528 | Nov 08, 2017 (151) |
| 70 | BIOINF_KMB_FNS_UNIBA | ss3026982358 | Nov 08, 2017 (151) |
| 71 | CSHL | ss3349321822 | Nov 08, 2017 (151) |
| 72 | ILLUMINA | ss3634425178 | Oct 12, 2018 (152) |
| 73 | ILLUMINA | ss3637875472 | Oct 12, 2018 (152) |
| 74 | ILLUMINA | ss3640132519 | Oct 12, 2018 (152) |
| 75 | OMUKHERJEE_ADBS | ss3646415653 | Oct 12, 2018 (152) |
| 76 | URBANLAB | ss3649470392 | Oct 12, 2018 (152) |
| 77 | ILLUMINA | ss3651636957 | Oct 12, 2018 (152) |
| 78 | EGCUT_WGS | ss3674604880 | Jul 13, 2019 (153) |
| 79 | PATHPUNJABI | ss3685990251 | Jul 13, 2019 (153) |
| 80 | EVA_DECODE | ss3690730784 | Jul 13, 2019 (153) |
| 81 | ACPOP | ss3737700350 | Jul 13, 2019 (153) |
| 82 | ILLUMINA | ss3744372155 | Jul 13, 2019 (153) |
| 83 | ILLUMINA | ss3744726131 | Jul 13, 2019 (153) |
| 84 | EVA | ss3748634838 | Jul 13, 2019 (153) |
| 85 | ILLUMINA | ss3772226403 | Jul 13, 2019 (153) |
| 86 | KHV_HUMAN_GENOMES | ss3813993198 | Jul 13, 2019 (153) |
| 87 | EVA | ss3824557207 | Apr 26, 2020 (154) |
| 88 | EVA | ss3825784336 | Apr 26, 2020 (154) |
| 89 | EVA | ss3832344877 | Apr 26, 2020 (154) |
| 90 | EVA | ss3839712692 | Apr 26, 2020 (154) |
| 91 | EVA | ss3845187159 | Apr 26, 2020 (154) |
| 92 | SGDP_PRJ | ss3875107207 | Apr 26, 2020 (154) |
| 93 | KRGDB | ss3923276057 | Apr 26, 2020 (154) |
| 94 | FSA-LAB | ss3983986907 | Apr 26, 2021 (155) |
| 95 | EVA | ss3984641247 | Apr 26, 2021 (155) |
| 96 | EVA | ss3984641248 | Apr 26, 2021 (155) |
| 97 | EVA | ss3985501733 | Apr 26, 2021 (155) |
| 98 | EVA | ss3986051875 | Apr 26, 2021 (155) |
| 99 | EVA | ss3986499625 | Apr 26, 2021 (155) |
| 100 | EVA | ss4017509101 | Apr 26, 2021 (155) |
| 101 | TOPMED | ss4867386368 | Apr 26, 2021 (155) |
| 102 | TOMMO_GENOMICS | ss6115541379 | Nov 01, 2024 (157) |
| 103 | EVA | ss6254363694 | Nov 01, 2024 (157) |
| 104 | EVA | ss6307676610 | Nov 01, 2024 (157) |
| 105 | EVA | ss6322400871 | Nov 01, 2024 (157) |
| 106 | EVA | ss6326481530 | Nov 01, 2024 (157) |
| 107 | EVA | ss6332094415 | Nov 01, 2024 (157) |
| 108 | YEGNASUBRAMANIAN_LAB | ss6343289031 | Nov 01, 2024 (157) |
| 109 | EVA | ss6349791011 | Nov 01, 2024 (157) |
| 110 | EVA | ss6350061470 | Nov 01, 2024 (157) |
| 111 | KOGIC | ss6382647951 | Nov 01, 2024 (157) |
| 112 | EVA | ss6404053985 | Nov 01, 2024 (157) |
| 113 | EVA | ss6404455920 | Nov 01, 2024 (157) |
| 114 | EVA | ss6404669439 | Nov 01, 2024 (157) |
| 115 | GNOMAD | ss6440995930 | Nov 01, 2024 (157) |
| 116 | GNOMAD | ss6864151232 | Nov 01, 2024 (157) |
| 117 | TOMMO_GENOMICS | ss8199588055 | Nov 01, 2024 (157) |
| 118 | EVA | ss8236887475 | Nov 01, 2024 (157) |
| 119 | EVA | ss8237210790 | Nov 01, 2024 (157) |
| 120 | EVA | ss8237656193 | Nov 01, 2024 (157) |
| 121 | 1000G_HIGH_COVERAGE | ss8285555359 | Nov 01, 2024 (157) |
| 122 | TRAN_CS_UWATERLOO | ss8314429946 | Nov 01, 2024 (157) |
| 123 | EVA | ss8396201050 | Nov 01, 2024 (157) |
| 124 | HUGCELL_USP | ss8480970412 | Nov 01, 2024 (157) |
| 125 | 1000G_HIGH_COVERAGE | ss8580278566 | Nov 01, 2024 (157) |
| 126 | EVA | ss8623950665 | Nov 01, 2024 (157) |
| 127 | EVA | ss8624013065 | Nov 01, 2024 (157) |
| 128 | SANFORD_IMAGENETICS | ss8624259282 | Nov 01, 2024 (157) |
| 129 | TOMMO_GENOMICS | ss8745990792 | Nov 01, 2024 (157) |
| 130 | EVA | ss8799403715 | Nov 01, 2024 (157) |
| 131 | EVA | ss8800062445 | Nov 01, 2024 (157) |
| 132 | EVA | ss8800162527 | Nov 01, 2024 (157) |
| 133 | YY_MCH | ss8811905555 | Nov 01, 2024 (157) |
| 134 | EVA | ss8824992867 | Nov 01, 2024 (157) |
| 135 | EVA | ss8847610876 | Nov 01, 2024 (157) |
| 136 | EVA | ss8848308481 | Nov 01, 2024 (157) |
| 137 | EVA | ss8849750946 | Nov 01, 2024 (157) |
| 138 | EVA | ss8880631029 | Nov 01, 2024 (157) |
| 139 | EVA | ss8936545920 | Nov 01, 2024 (157) |
| 140 | EVA | ss8941449712 | Nov 01, 2024 (157) |
| 141 | EVA | ss8979339730 | Nov 01, 2024 (157) |
| 142 | EVA | ss8980639898 | Nov 01, 2024 (157) |
| 143 | EVA | ss8981263195 | Nov 01, 2024 (157) |
| 144 | EVA | ss8981730336 | Nov 01, 2024 (157) |
| 145 | EVA | ss8981730337 | Nov 01, 2024 (157) |
| 146 | EVA | ss8982040722 | Nov 01, 2024 (157) |
| 147 | LNCC-LABINFO | ss8982077929 | Nov 01, 2024 (157) |
| 148 | 1000Genomes | NC_000010.10 - 115805056 | Oct 12, 2018 (152) |
| 149 | 1000Genomes_30X | NC_000010.11 - 114045297 | Nov 01, 2024 (157) |
| 150 | The Avon Longitudinal Study of Parents and Children | NC_000010.10 - 115805056 | Oct 12, 2018 (152) |
| 151 | Genetic variation in the Estonian population | NC_000010.10 - 115805056 | Oct 12, 2018 (152) |
| 152 | ExAC | NC_000010.10 - 115805056 | Oct 12, 2018 (152) |
| 153 | FINRISK | NC_000010.10 - 115805056 | Apr 26, 2020 (154) |
| 154 | The Danish reference pan genome | NC_000010.10 - 115805056 | Apr 26, 2020 (154) |
| 155 | gnomAD v4 - Exomes | NC_000010.11 - 114045297 | Nov 01, 2024 (157) |
| 156 | gnomAD v4 - Genomes | NC_000010.11 - 114045297 | Nov 01, 2024 (157) |
| 157 | HapMap | NC_000010.11 - 114045297 | Apr 26, 2020 (154) |
| 158 | KOREAN population from KRGDB | NC_000010.10 - 115805056 | Apr 26, 2020 (154) |
| 159 | Korean Genome Project 4K | NC_000010.11 - 114045297 | Nov 01, 2024 (157) |
| 160 | Medical Genome Project healthy controls from Spanish population | NC_000010.10 - 115805056 | Apr 26, 2020 (154) |
| 161 | Northern Sweden | NC_000010.10 - 115805056 | Jul 13, 2019 (153) |
| 162 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000010.10 - 115805056 | Apr 26, 2021 (155) |
| 163 |
CNV burdens in cranial meningiomas
Submission ignored due to conflicting rows: |
- | Apr 26, 2021 (155) |
| 164 |
CNV burdens in cranial meningiomas
Submission ignored due to conflicting rows: |
- | Apr 26, 2021 (155) |
| 165 | PharmGKB Aggregated | NC_000010.11 - 114045297 | Apr 26, 2020 (154) |
| 166 | Qatari | NC_000010.10 - 115805056 | Apr 26, 2020 (154) |
| 167 | SGDP_PRJ | NC_000010.10 - 115805056 | Apr 26, 2020 (154) |
| 168 | Siberian | NC_000010.10 - 115805056 | Apr 26, 2020 (154) |
| 169 | 38KJPN | NC_000010.11 - 114045297 | Nov 01, 2024 (157) |
| 170 | TopMed | NC_000010.11 - 114045297 | Apr 26, 2021 (155) |
| 171 | UK 10K study - Twins | NC_000010.10 - 115805056 | Oct 12, 2018 (152) |
| 172 | A Vietnamese Genetic Variation Database | NC_000010.10 - 115805056 | Jul 13, 2019 (153) |
| 173 | ALFA | NC_000010.11 - 114045297 | Nov 01, 2024 (157) |
| 174 | ClinVar | RCV000019322.4 | Nov 01, 2024 (157) |
| 175 | ClinVar | RCV002508776.1 | Nov 01, 2024 (157) |
| 176 | ClinVar | RCV003974844.1 | Nov 01, 2024 (157) |
Help
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).
| Associated ID | History Updated (Build) |
|---|---|
| rs12718339 | Sep 24, 2004 (123) |
| rs17091259 | Oct 08, 2004 (123) |
| rs28365052 | Mar 10, 2006 (126) |
| rs59130083 | May 25, 2008 (130) |
Added to this RefSNP Cluster:
| Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
|---|---|---|---|
| 30453451, ss3923276057 | NC_000010.10:115805055:G:A | NC_000010.11:114045296:G:A | (self) |
| ss88362344, ss168752685, ss202046906, ss207417401, ss244285121, ss290936052, ss491632867, ss1597625094 | NC_000010.9:115795045:G:C | NC_000010.11:114045296:G:C | (self) |
| 51614645, 28670238, 20343128, 323816, 67040, 2336668, 30453451, 386463, 10985215, 727660, 13348893, 27124187, 7180723, 28670238, 6360843, ss224953275, ss235342767, ss242016132, ss342308938, ss491005343, ss491440883, ss657395475, ss780890902, ss783577243, ss987946940, ss1067516432, ss1339164214, ss1575368100, ss1584070579, ss1625491405, ss1668485438, ss1690088686, ss1711270703, ss1751948297, ss1917851882, ss1931306963, ss1946293855, ss1959296511, ss1967229286, ss2026386754, ss2154664369, ss2698922484, ss2710721025, ss2738539999, ss2748476033, ss2893674533, ss2985571628, ss3007188252, ss3021277528, ss3349321822, ss3634425178, ss3637875472, ss3640132519, ss3646415653, ss3651636957, ss3674604880, ss3737700350, ss3744372155, ss3744726131, ss3748634838, ss3772226403, ss3824557207, ss3825784336, ss3832344877, ss3839712692, ss3875107207, ss3923276057, ss3983986907, ss3984641247, ss3984641248, ss3985501733, ss3986051875, ss3986499625, ss4017509101, ss6254363694, ss6307676610, ss6322400871, ss6326481530, ss6332094415, ss6343289031, ss6349791011, ss6350061470, ss6404455920, ss6404669439, ss8199588055, ss8396201050, ss8623950665, ss8624013065, ss8624259282, ss8799403715, ss8800062445, ss8800162527, ss8824992867, ss8847610876, ss8848308481, ss8936545920, ss8941449712, ss8979339730, ss8980639898, ss8981263195, ss8981730336, ss8981730337 | NC_000010.10:115805055:G:C | NC_000010.11:114045296:G:C | (self) |
| RCV000019322.4, RCV002508776.1, RCV003974844.1, 67804501, 36318155, 391293303, 497717, 32499849, 1401, 132917199, 82932023, 13611545987, ss244238804, ss263197783, ss3026982358, ss3649470392, ss3685990251, ss3690730784, ss3813993198, ss3845187159, ss4867386368, ss6115541379, ss6382647951, ss6404053985, ss6440995930, ss6864151232, ss8236887475, ss8237210790, ss8237656193, ss8285555359, ss8314429946, ss8480970412, ss8580278566, ss8745990792, ss8811905555, ss8849750946, ss8880631029, ss8982040722, ss8982077929 | NC_000010.11:114045296:G:C | NC_000010.11:114045296:G:C | (self) |
| ss10583468, ss12060750 | NT_030059.10:34243613:G:C | NC_000010.11:114045296:G:C | (self) |
| ss16486007, ss20730945 | NT_030059.11:34553581:G:C | NC_000010.11:114045296:G:C | (self) |
| ss2421491, ss24803559, ss28525353, ss38568848, ss49847787, ss69367179, ss69368395, ss69369186, ss76866780, ss84129481, ss84173035, ss95210592, ss97585731, ss105108111, ss105110336, ss106703109, ss131842762, ss132098865, ss159721476, ss172925432, ss410916068 | NT_030059.13:66609519:G:C | NC_000010.11:114045296:G:C | (self) |
Help
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
83
citations for rs1801253
| PMID | Title | Author | Year | Journal |
|---|---|---|---|---|
| 10212248 | A gain-of-function polymorphism in a G-protein coupling domain of the human beta1-adrenergic receptor. | Mason DA et al. | 1999 | The Journal of biological chemistry |
| 12374873 | Synergistic polymorphisms of beta1- and alpha2C-adrenergic receptors and the risk of congestive heart failure. | Small KM et al. | 2002 | The New England journal of medicine |
| 16120061 | The functional significance of genetic variation within the beta-adrenoceptor. | Sandilands AJ et al. | 2005 | British journal of clinical pharmacology |
| 16844790 | A polymorphism within a conserved beta(1)-adrenergic receptor motif alters cardiac function and beta-blocker response in human heart failure. | Liggett SB et al. | 2006 | Proceedings of the National Academy of Sciences of the United States of America |
| 17150099 | Beta2-adrenergic receptor and UCP3 variants modulate the relationship between age and type 2 diabetes mellitus. | Pinelli M et al. | 2006 | BMC medical genetics |
| 17335470 | Studies of associations between the Arg389Gly polymorphism of the beta1-adrenergic receptor gene (ADRB1) and hypertension and obesity in 7677 Danish white subjects. | Gjesing AP et al. | 2007 | Diabetic medicine |
| 17496726 | Synergistic polymorphisms of beta1 and alpha2C-adrenergic receptors and the influence on left ventricular ejection fraction response to beta-blocker therapy in heart failure. | Lobmeyer MT et al. | 2007 | Pharmacogenetics and genomics |
| 17512307 | Association analyses of adrenergic receptor polymorphisms with obesity and metabolic alterations. | Lima JJ et al. | 2007 | Metabolism |
| 18059082 | Association of ADRB1 and UCP3 gene polymorphisms with insulin sensitivity but not obesity. | Mottagui-Tabar S et al. | 2008 | Hormone research |
| 18187665 | Identification of genetic polymorphisms associated with risk for pulmonary hypertension in sickle cell disease. | Ashley-Koch AE et al. | 2008 | Blood |
| 18534365 | Common beta-adrenergic receptor polymorphisms are not associated with risk of sudden cardiac death in patients with coronary artery disease. | Tseng ZH et al. | 2008 | Heart rhythm |
| 18615004 | beta-adrenergic receptor gene polymorphisms and beta-blocker treatment outcomes in hypertension. | Pacanowski MA et al. | 2008 | Clinical pharmacology and therapeutics |
| 18794727 | Genetic and gene expression studies implicate renin and endothelin-1 in edema caused by peroxisome proliferator-activated receptor gamma agonists. | Geese WJ et al. | 2008 | Pharmacogenetics and genomics |
| 19379518 | Development of a fingerprinting panel using medically relevant polymorphisms. | Cross DS et al. | 2009 | BMC medical genomics |
| 19553224 | Trp64Arg polymorphism in ADRB3 gene is associated with elite endurance performance. | Santiago C et al. | 2011 | British journal of sports medicine |
| 19743955 | Polymorphisms of the beta1-adrenergic receptor gene are associated with essential hypertension in Chinese. | Peng Y et al. | 2009 | Clinical chemistry and laboratory medicine |
| 19842931 | GRK5 Gln41Leu polymorphism is not associated with sensitivity to beta(1)-adrenergic blockade in humans. | Kurnik D et al. | 2009 | Pharmacogenomics |
| 20401335 | Sickle Cell Disease in the Post Genomic Era: A Monogenic Disease with a Polygenic Phenotype. | Driss A et al. | 2009 | Genomics insights |
| 20521218 | Progress toward genetic tailoring of heart failure therapy. | Lillvis JH et al. | 2010 | Current opinion in molecular therapeutics |
| 20565774 | Population based allele frequencies of disease associated polymorphisms in the Personalized Medicine Research Project. | Cross DS et al. | 2010 | BMC genetics |
| 20676228 | ||||
| 20869266 | Single-nucleotide polymorphisms in the β-adrenergic receptor genes are associated with lung allograft utilization. | Sapru A et al. | 2011 | The Journal of heart and lung transplantation |
| 20921971 | Mapping genes that predict treatment outcome in admixed populations. | Baye TM et al. | 2010 | The pharmacogenomics journal |
| 20952631 | Association of single-nucleotide polymorphisms from 17 candidate genes with baseline symptom-limited exercise test duration and decrease in duration over 20 years: the Coronary Artery Risk Development in Young Adults (CARDIA) fitness study. | Sarzynski MA et al. | 2010 | Circulation. Cardiovascular genetics |
| 20981351 | Promoter Polymorphism of RGS2 Gene Is Associated with Change of Blood Pressure in Subjects with Antihypertensive Treatment: The Azelnidipine and Temocapril in Hypertensive Patients with Type 2 Diabetes Study. | Sugimoto K et al. | 2010 | International journal of hypertension |
| 21172166 | Pharmacogenetics of antidepressant response. | Porcelli S et al. | 2011 | Journal of psychiatry & neuroscience |
| 21395649 | Association of beta-adrenergic receptor polymorphisms and mortality in carvedilol-treated chronic heart-failure patients. | Petersen M et al. | 2011 | British journal of clinical pharmacology |
| 21414566 | β2 adrenergic receptor polymorphisms and nocturnal blood pressure dipping status in the Wisconsin Sleep Cohort Study. | Vardeny O et al. | 2011 | Journal of the American Society of Hypertension |
| 21444836 | Association of hypertension drug target genes with blood pressure and hypertension in 86,588 individuals. | Johnson AD et al. | 2011 | Hypertension (Dallas, Tex. |
| 21807569 | β-1 and β-2 adrenergic receptor polymorphism and association with cardiovascular response to orthostatic screening. | Wittwer ED et al. | 2011 | Autonomic neuroscience |
| 21894447 | Are centenarians genetically predisposed to lower disease risk? | Ruiz JR et al. | 2012 | Age (Dordrecht, Netherlands) |
| 21953487 | Beyond genome-wide association studies: new strategies for identifying genetic determinants of hypertension. | Wang X et al. | 2011 | Current hypertension reports |
| 22024213 | A novel gene-environment interaction involved in endometriosis. | McCarty CA et al. | 2012 | International journal of gynaecology and obstetrics |
| 22495925 | Genetic polymorphisms inside and outside the MHC improve prediction of AS radiographic severity in addition to clinical variables. | Bartolomé N et al. | 2012 | Rheumatology (Oxford, England) |
| 22552919 | Bioinformatics and variability in drug response: a protein structural perspective. | Lahti JL et al. | 2012 | Journal of the Royal Society, Interface |
| 22683993 | A mutation-centric approach to identifying pharmacogenomic relations in text. | Rance B et al. | 2012 | Journal of biomedical informatics |
| 22703382 | Effect of the Arg389Gly β₁-adrenoceptor polymorphism on plasma renin activity and heart rate, and the genotype-dependent response to metoprolol treatment. | Petersen M et al. | 2012 | Clinical and experimental pharmacology & physiology |
| 22938532 | Sequencing and analysis of a South Asian-Indian personal genome. | Gupta R et al. | 2012 | BMC genomics |
| 23065660 | GNAS A-1121G variant is associated with improved diastolic dysfunction in response to exercise training in heart failure patients. | Alves AJ et al. | 2013 | International journal of sports medicine |
| 23575227 | The chromosome 3q25 genomic region is associated with measures of adiposity in newborns in a multi-ethnic genome-wide association study. | Urbanek M et al. | 2013 | Human molecular genetics |
| 23820649 | Where genotype is not predictive of phenotype: towards an understanding of the molecular basis of reduced penetrance in human inherited disease. | Cooper DN et al. | 2013 | Human genetics |
| 23856471 | Identification of a KCNQ1 polymorphism acting as a protective modifier against arrhythmic risk in long-QT syndrome. | Duchatelet S et al. | 2013 | Circulation. Cardiovascular genetics |
| 24332148 | Genetic variation in the β1-adrenergic receptor is associated with the risk of atrial fibrillation after cardiac surgery. | Jeff JM et al. | 2014 | American heart journal |
| 25266489 | Genetic polymorphisms of VIP variants in the Tajik ethnic group of northwest China. | Zhang J et al. | 2014 | BMC genetics |
| 26091847 | Genetic polymorphisms of pharmacogenomic VIP variants in the Uygur population from northwestern China. | Wang L et al. | 2015 | BMC genetics |
| 26111150 | Association of the ADRB2 (rs2053044) polymorphism and angiotensin-converting enzyme-inhibitor blood pressure response in the African American Study of Kidney Disease and Hypertension. | Anthony EG et al. | 2015 | Pharmacogenetics and genomics |
| 26602751 | Association of β-Adrenergic Receptor Gene Polymorphisms With Acute Coronary Syndrome and Cardiovascular Risk Factors in an Arab Population. | El-Menyar A et al. | 2016 | Angiology |
| 26602921 | A Multiple Interaction Analysis Reveals ADRB3 as a Potential Candidate for Gallbladder Cancer Predisposition via a Complex Interaction with Other Candidate Gene Variations. | Rai R et al. | 2015 | International journal of molecular sciences |
| 26694722 | Correlation of ADRB1 rs1801253 Polymorphism with Analgesic Effect of Fentanyl After Cancer Surgeries. | Wei W et al. | 2015 | Medical science monitor |
| 26879662 | Impact of the β-1 adrenergic receptor polymorphism on tolerability and efficacy of bisoprolol therapy in Korean heart failure patients: association between β adrenergic receptor polymorphism and bisoprolol therapy in heart failure (ABBA) study. | Lee HY et al. | 2016 | The Korean journal of internal medicine |
| 27103841 | Personalized medicine and treatment approaches in hypertension: current perspectives. | Byrd JB et al. | 2016 | Integrated blood pressure control |
| 27108086 | Multiplex SNaPshot-a new simple and efficient CYP2D6 and ADRB1 genotyping method. | Ben S et al. | 2016 | Human genomics |
| 27233804 | Genetic polymorphisms of pharmacogenomic VIP variants in the Mongol of Northwestern China. | Jin T et al. | 2016 | BMC genetics |
| 27247849 | Genetic variation and cognitive dysfunction in opioid-treated patients with cancer. | Kurita GP et al. | 2016 | Brain and behavior |
| 27480026 | Genome Wide Association Study Identifies L3MBTL4 as a Novel Susceptibility Gene for Hypertension. | Liu X et al. | 2016 | Scientific reports |
| 27589963 | Discrepancies between human DNA, mRNA and protein reference sequences and their relation to single nucleotide variants in the human population. | Shirota M et al. | 2016 | Database |
| 27669015 | Adrenergic Receptor Polymorphism and Maximal Exercise Capacity after Orthotopic Heart Transplantation. | Métrich M et al. | 2016 | PloS one |
| 29587766 | ADRB3 polymorphism rs4994 (Trp64Arg) associates significantly with bodyweight elevation and dyslipidaemias in Saudis but not rs1801253 (Arg389Gly) polymorphism in ARDB1. | Daghestani M et al. | 2018 | Lipids in health and disease |
| 30387422 | [Genetic Polymorphisms Associated with the Onset of Arterial Hypertension in a Portuguese Population]. | Sousa AC et al. | 2018 | Acta medica portuguesa |
| 30668166 | β(2)-Adrenergic Receptor Gene Polymorphisms Are Associated with Cardiovascular Events But not All-Cause Mortality in Coronary Artery Disease Patients: A Meta-Analysis of Prospective Studies. | Li Y et al. | 2019 | Genetic testing and molecular biomarkers |
| 30753253 | β1-Adrenoreceptor Polymorphisms and Blood Pressure: 49S Variant Increases Plasma Renin But Not Blood Pressure in Hypertensive Patients. | Sandilands AJ et al. | 2019 | American journal of hypertension |
| 30756358 | Association of Genetic Polymorphisms in the Beta-1 Adrenergic Receptor with Recovery of Left Ventricular Ejection Fraction in Patients with Heart Failure. | Luzum JA et al. | 2019 | Journal of cardiovascular translational research |
| 31056593 | POLYMORPHISMS IN β-ADRENERGIC RECEPTORS ARE ASSOCIATED WITH INCREASED RISK TO HAVE A POSITIVE HEAD-UP TILT TABLE TEST IN PATIENTS WITH VASOVAGAL SYNCOPE. | Márquez MF et al. | 2019 | Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion |
| 31469255 | A genome-wide association and replication study of blood pressure in Ugandan early adolescents. | Lule SA et al. | 2019 | Molecular genetics & genomic medicine |
| 32398726 | Genetic Polymorphisms, Mediterranean Diet and Microbiota-Associated Urolithin Metabotypes can Predict Obesity in Childhood-Adolescence. | Cortés-Martín A et al. | 2020 | Scientific reports |
| 32459809 | Unique insights from ClinicalTrials.gov by mining protein mutations and RSids in addition to applying the Human Phenotype Ontology. | Alag S et al. | 2020 | PloS one |
| 32586526 | Variants in ADRB1 and CYP2C9: Association with Response to Atenolol and Losartan in Marfan Syndrome. | Van Driest SL et al. | 2020 | The Journal of pediatrics |
| 33053571 | The role of Beta-1 receptor gene polymorphism in Beta-Blocker therapy for vasovagal syncope. | Atici A et al. | 2020 | Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion |
| 33451866 | Influence of ADRB1, ADRB2, and COMT Genetic Polymorphisms on Postoperative Outcomes of Patients Undergoing Cardiac Valve Surgery. | Dai S et al. | 2021 | Clinical therapeutics |
| 33572708 | Association of Genetic Variances in ADRB1 and PPARGC1a with Two-Kilometre Running Time-Trial Performance in Australian Football League Players: A Preliminary Study. | Jacob Y et al. | 2021 | Sports (Basel, Switzerland) |
| 33688237 | Whole-Exome Sequencing in Patients Affected by Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis Reveals New Variants Potentially Contributing to the Phenotype. | Fonseca DJ et al. | 2021 | Pharmacogenomics and personalized medicine |
| 34131278 | Genetic polymorphisms associated with obesity in the Arab world: a systematic review. | Younes S et al. | 2021 | International journal of obesity (2005) |
| 34638656 | Towards Understanding the Genetic Nature of Vasovagal Syncope. | Matveeva N et al. | 2021 | International journal of molecular sciences |
| 34713976 | β1-receptor polymorphisms and junctional ectopic tachycardia in children after cardiac surgery. | Dumeny L et al. | 2022 | Clinical and translational science |
| 34716504 | Investigating changes in β-adrenergic gene expression (ADRB1 and ADRB2) in Takotsubo (stress) cardiomyopathy syndrome; a pilot study. | Tutgun Onrat S et al. | 2021 | Molecular biology reports |
| 35099251 | Beta-adrenergic receptors gene polymorphisms are associated with cardiac contractility and blood pressure variability. | Matuskova L et al. | 2021 | Physiological research |
| 35199539 | Adrenergic receptors gene polymorphisms and autonomic nervous control of heart and vascular tone. | Matušková L et al. | 2021 | Physiological research |
| 35258481 | Genetic biomarkers of life-threatening pheochromocytoma-induced cardiomyopathy. | Amar J et al. | 2022 | Endocrine-related cancer |
| 35743738 | Pharmacogenomic Profile of Amazonian Amerindians. | Rodrigues JCG et al. | 2022 | Journal of personalized medicine |
| 36140820 | Vasovagal Syncope Is Associated with Variants in Genes Involved in Neurohumoral Signaling Pathways. | Titov B et al. | 2022 | Genes |
| 36196520 | Influence of genetic variants on remifentanil sensitivity in Chinese women. | Niu H et al. | 2022 | Journal of clinical pharmacy and therapeutics |
| 36825998 | SNPs Sets in Codifying Genes for Xenobiotics-Processing Enzymes Are Associated with COPD Secondary to Biomass-Burning Smoke. | Ambrocio-Ortiz E et al. | 2023 | Current issues in molecular biology |
| 37798380 | Genome-wide association study of placental weight identifies distinct and shared genetic influences between placental and fetal growth. | Beaumont RN et al. | 2023 | Nature genetics |
Help
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genome context:
Select flank length:
Genomic regions, transcripts, and products
Top▲
Help
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.