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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.

rs2272783

Current Build 157

Released September 3, 2024

Organism
Homo sapiens
Position
chr18:57571588 (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
A>C / A>G / A>T
Variation Type
SNV Single Nucleotide Variation
Frequency
G=0.0670674 (93979/1401262, GnomAD_exomes)
G=0.075696 (20036/264690, TOPMED)
G=0.059684 (10153/170112, ALFA) (+ 24 more)
G=0.068280 (10187/149194, GnomAD_genomes)
G=0.107296 (12974/120918, ExAC)
G=0.44653 (34581/77444, 38KJPN)
G=0.03737 (486/13006, GO-ESP)
G=0.3793 (2743/7232, Korea4K)
G=0.1340 (858/6404, 1000G_30X)
G=0.1374 (688/5008, 1000G)
G=0.0761 (341/4480, Estonian)
G=0.0407 (157/3854, ALSPAC)
G=0.0494 (183/3708, TWINSUK)
G=0.3829 (1122/2930, KOREAN)
G=0.1243 (235/1890, HapMap)
G=0.3930 (720/1832, Korea1K)
G=0.047 (47/998, GoNL)
G=0.327 (254/776, PRJEB37584)
G=0.150 (94/626, Chileans)
G=0.042 (25/600, NorthernSweden)
G=0.037 (20/534, MGP)
G=0.076 (23/304, FINRISK)
G=0.037 (8/216, Qatari)
A=0.399 (55/138, SGDP_PRJ)
G=0.03 (1/40, GENOME_DK)
G=0.00 (0/26, Ancient Sardinia)
A=0.46 (11/24, Siberian)
Clinical Significance
Reported in ClinVar
Gene : Consequence
FECH : Intron Variant
Publications
7 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 170112 A=0.940316 G=0.059684, T=0.000000 0.888403 0.007771 0.103826 32
European Sub 141966 A=0.954891 G=0.045109, T=0.000000 0.91188 0.002099 0.086021 0
African Sub 8354 A=0.9816 G=0.0184, T=0.0000 0.963131 0.0 0.036869 1
African Others Sub 262 A=0.992 G=0.008, T=0.000 0.984733 0.0 0.015267 0
African American Sub 8092 A=0.9812 G=0.0188, T=0.0000 0.962432 0.0 0.037568 1
Asian Sub 734 A=0.717 G=0.283, T=0.000 0.523161 0.089918 0.386921 1
East Asian Sub 540 A=0.689 G=0.311, T=0.000 0.481481 0.103704 0.414815 0
Other Asian Sub 194 A=0.794 G=0.206, T=0.000 0.639175 0.051546 0.309278 0
Latin American 1 Sub 896 A=0.938 G=0.062, T=0.000 0.881696 0.006696 0.111607 1
Latin American 2 Sub 8486 A=0.7043 G=0.2957, T=0.0000 0.508367 0.099694 0.39194 9
South Asian Sub 196 A=0.903 G=0.097, T=0.000 0.806122 0.0 0.193878 1
Other Sub 9480 A=0.9153 G=0.0847, T=0.0000 0.841772 0.011181 0.147046 7


Help

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 1401262 A=0.9329326 G=0.0670674
gnomAD v4 - Exomes European Sub 1165236 A=0.9536257 G=0.0463743
gnomAD v4 - Exomes South Asian Sub 86244 A=0.91129 G=0.08871
gnomAD v4 - Exomes American Sub 44712 A=0.67711 G=0.32289
gnomAD v4 - Exomes East Asian Sub 39694 A=0.61357 G=0.38643
gnomAD v4 - Exomes African Sub 33478 A=0.98432 G=0.01568
gnomAD v4 - Exomes Ashkenazi Jewish Sub 26134 A=0.93530 G=0.06470
gnomAD v4 - Exomes Middle Eastern sub 5764 A=0.9481 G=0.0519
TopMed Global Study-wide 264690 A=0.924304 G=0.075696
Allele Frequency Aggregator Total Global 170112 A=0.940316 G=0.059684, T=0.000000
Allele Frequency Aggregator European Sub 141966 A=0.954891 G=0.045109, T=0.000000
Allele Frequency Aggregator Other Sub 9480 A=0.9153 G=0.0847, T=0.0000
Allele Frequency Aggregator Latin American 2 Sub 8486 A=0.7043 G=0.2957, T=0.0000
Allele Frequency Aggregator African Sub 8354 A=0.9816 G=0.0184, T=0.0000
Allele Frequency Aggregator Latin American 1 Sub 896 A=0.938 G=0.062, T=0.000
Allele Frequency Aggregator Asian Sub 734 A=0.717 G=0.283, T=0.000
Allele Frequency Aggregator South Asian Sub 196 A=0.903 G=0.097, T=0.000
gnomAD v4 - Genomes Global Study-wide 149194 A=0.931720 G=0.068280
gnomAD v4 - Genomes European Sub 78582 A=0.94704 G=0.05296
gnomAD v4 - Genomes African Sub 41570 A=0.98100 G=0.01900
gnomAD v4 - Genomes American Sub 15296 A=0.81747 G=0.18253
gnomAD v4 - Genomes East Asian Sub 5162 A=0.6629 G=0.3371
gnomAD v4 - Genomes South Asian Sub 4822 A=0.9040 G=0.0960
gnomAD v4 - Genomes Ashkenazi Jewish Sub 3468 A=0.9357 G=0.0643
gnomAD v4 - Genomes Middle Eastern sub 294 A=0.942 G=0.058
ExAC Global Study-wide 120918 A=0.892704 G=0.107296
ExAC Europe Sub 73148 A=0.94455 G=0.05545
ExAC Asian Sub 25066 A=0.82837 G=0.17163
ExAC American Sub 11530 A=0.62446 G=0.37554
ExAC African Sub 10266 A=0.97993 G=0.02007
ExAC Other Sub 908 A=0.912 G=0.088
38KJPN JAPANESE Study-wide 77444 A=0.55347 G=0.44653
GO Exome Sequencing Project Global Study-wide 13006 A=0.96263 G=0.03737
GO Exome Sequencing Project European American Sub 8600 A=0.9545 G=0.0455
GO Exome Sequencing Project African American Sub 4406 A=0.9784 G=0.0216
Korean Genome Project 4K KOREAN Study-wide 7232 A=0.6207 G=0.3793
1000Genomes_30X Global Study-wide 6404 A=0.8660 G=0.1340
1000Genomes_30X African Sub 1786 A=0.9916 G=0.0084
1000Genomes_30X Europe Sub 1266 A=0.9494 G=0.0506
1000Genomes_30X South Asian Sub 1202 A=0.8943 G=0.1057
1000Genomes_30X East Asian Sub 1170 A=0.6684 G=0.3316
1000Genomes_30X American Sub 980 A=0.731 G=0.269
1000Genomes Global Study-wide 5008 A=0.8626 G=0.1374
1000Genomes African Sub 1322 A=0.9894 G=0.0106
1000Genomes East Asian Sub 1008 A=0.6706 G=0.3294
1000Genomes Europe Sub 1006 A=0.9493 G=0.0507
1000Genomes South Asian Sub 978 A=0.889 G=0.111
1000Genomes American Sub 694 A=0.738 G=0.262
Genetic variation in the Estonian population Estonian Study-wide 4480 A=0.9239 G=0.0761
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 A=0.9593 G=0.0407
UK 10K study - Twins TWIN COHORT Study-wide 3708 A=0.9506 G=0.0494
KOREAN population from KRGDB KOREAN Study-wide 2930 A=0.6171 C=0.0000, G=0.3829
HapMap Global Study-wide 1890 A=0.8757 G=0.1243
HapMap American Sub 768 A=0.849 G=0.151
HapMap African Sub 692 A=0.981 G=0.019
HapMap Asian Sub 254 A=0.602 G=0.398
HapMap Europe Sub 176 A=0.972 G=0.028
Korean Genome Project KOREAN Study-wide 1832 A=0.6070 G=0.3930
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 A=0.953 G=0.047
CNV burdens in cranial meningiomas Global Study-wide 776 A=0.673 G=0.327
CNV burdens in cranial meningiomas CRM Sub 776 A=0.673 G=0.327
Chileans Chilean Study-wide 626 A=0.850 G=0.150
Northern Sweden ACPOP Study-wide 600 A=0.958 G=0.042
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 A=0.963 G=0.037
FINRISK Finnish from FINRISK project Study-wide 304 A=0.924 G=0.076
Qatari Global Study-wide 216 A=0.963 G=0.037
SGDP_PRJ Global Study-wide 138 A=0.399 G=0.601
The Danish reference pan genome Danish Study-wide 40 A=0.97 G=0.03
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 26 A=1.00 G=0.00
Siberian Global Study-wide 24 A=0.46 G=0.54
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 18 NC_000018.10:g.57571588A>C
GRCh38.p14 chr 18 NC_000018.10:g.57571588A>G
GRCh38.p14 chr 18 NC_000018.10:g.57571588A>T
GRCh37.p13 chr 18 NC_000018.9:g.55238820A>C
GRCh37.p13 chr 18 NC_000018.9:g.55238820A>G
GRCh37.p13 chr 18 NC_000018.9:g.55238820A>T
FECH RefSeqGene (LRG_1080) NG_008175.1:g.20150T>G
FECH RefSeqGene (LRG_1080) NG_008175.1:g.20150T>C
FECH RefSeqGene (LRG_1080) NG_008175.1:g.20150T>A
Gene: FECH, ferrochelatase (minus strand)
Molecule type Change Amino acid[Codon] SO Term
FECH transcript variant 2 NM_000140.5:c.315-48T>G N/A Intron Variant
FECH transcript variant 1 NM_001012515.4:c.333-48T>G N/A Intron Variant
FECH transcript variant 3 NM_001371094.1:c.315-48T>G N/A Intron Variant
FECH transcript variant 4 NM_001371095.1:c.99-48T>G N/A Intron Variant
FECH transcript variant 5 NM_001374778.1:c.315-48T>G N/A Intron Variant
FECH transcript variant X1 XM_011525881.2:c.333-48T>G N/A Intron 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: G (allele ID: 15601 )
ClinVar Accession Disease Names Clinical Significance
RCV000000592.26 Protoporphyria, erythropoietic, 1 Conflicting-Interpretations-Of-Pathogenicity
RCV000414979.5 Erythema,Jaundice No-Classifications-From-Unflagged-Records
RCV001195427.8 Autosomal erythropoietic protoporphyria Pathogenic
RCV001381522.25 not provided Pathogenic-Pathogenic-Low-Penetrance
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 A= C G T
GRCh38.p14 chr 18 NC_000018.10:g.57571588= NC_000018.10:g.57571588A>C NC_000018.10:g.57571588A>G NC_000018.10:g.57571588A>T
GRCh37.p13 chr 18 NC_000018.9:g.55238820= NC_000018.9:g.55238820A>C NC_000018.9:g.55238820A>G NC_000018.9:g.55238820A>T
FECH RefSeqGene (LRG_1080) NG_008175.1:g.20150= NG_008175.1:g.20150T>G NG_008175.1:g.20150T>C NG_008175.1:g.20150T>A
Protein-coding transcripts NM_000140.3:c.315-48= NM_000140.3:c.315-48T>G NM_000140.3:c.315-48T>C NM_000140.3:c.315-48T>A
FECH transcript variant 2 NM_000140.5:c.315-48= NM_000140.5:c.315-48T>G NM_000140.5:c.315-48T>C NM_000140.5:c.315-48T>A
FECH transcript variant 1 NM_001012515.2:c.333-48= NM_001012515.2:c.333-48T>G NM_001012515.2:c.333-48T>C NM_001012515.2:c.333-48T>A
FECH transcript variant 1 NM_001012515.4:c.333-48= NM_001012515.4:c.333-48T>G NM_001012515.4:c.333-48T>C NM_001012515.4:c.333-48T>A
FECH transcript variant 3 NM_001371094.1:c.315-48= NM_001371094.1:c.315-48T>G NM_001371094.1:c.315-48T>C NM_001371094.1:c.315-48T>A
FECH transcript variant 4 NM_001371095.1:c.99-48= NM_001371095.1:c.99-48T>G NM_001371095.1:c.99-48T>C NM_001371095.1:c.99-48T>A
FECH transcript variant 5 NM_001374778.1:c.315-48= NM_001374778.1:c.315-48T>G NM_001374778.1:c.315-48T>C NM_001374778.1:c.315-48T>A
FECH transcript variant X1 XM_011525881.2:c.333-48= XM_011525881.2:c.333-48T>G XM_011525881.2:c.333-48T>C XM_011525881.2:c.333-48T>A
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#.

123 SubSNP, 27 Frequency, 4 ClinVar submissions
No Submitter Submission ID Date (Build)
1 YUSUKE ss3208001 Sep 28, 2001 (100)
2 PERLEGEN ss46554129 Mar 15, 2006 (126)
3 ILLUMINA ss65758684 Oct 14, 2006 (127)
4 ILLUMINA ss74864669 Dec 07, 2007 (129)
5 AFFY ss76643273 Dec 07, 2007 (129)
6 BCMHGSC_JDW ss90807630 Mar 24, 2008 (129)
7 BGI ss106549175 Feb 04, 2009 (130)
8 KRIBB_YJKIM ss119425710 Dec 01, 2009 (131)
9 ENSEMBL ss137405385 Dec 01, 2009 (131)
10 GMI ss155235936 Dec 01, 2009 (131)
11 ILLUMINA ss160525370 Dec 01, 2009 (131)
12 ILLUMINA ss173233376 Jul 04, 2010 (132)
13 1000GENOMES ss237493747 Jul 15, 2010 (132)
14 1000GENOMES ss243737172 Jul 15, 2010 (132)
15 GMI ss283015890 May 04, 2012 (137)
16 ILLUMINA ss480496823 May 04, 2012 (137)
17 ILLUMINA ss480511166 May 04, 2012 (137)
18 ILLUMINA ss481315718 Sep 08, 2015 (146)
19 ILLUMINA ss485045912 May 04, 2012 (137)
20 1000GENOMES ss491140633 May 04, 2012 (137)
21 ILLUMINA ss537066223 Sep 08, 2015 (146)
22 GENEREVIEWS ss539053073 Sep 28, 2012 (137)
23 SSMP ss661519942 Apr 25, 2013 (138)
24 NHLBI-ESP ss713447701 Apr 25, 2013 (138)
25 ILLUMINA ss778488869 Aug 21, 2014 (142)
26 ILLUMINA ss782969178 Sep 08, 2015 (146)
27 ILLUMINA ss783930857 Aug 21, 2014 (142)
28 ILLUMINA ss832225480 Sep 08, 2015 (146)
29 ILLUMINA ss833944844 Aug 21, 2014 (142)
30 EVA-GONL ss993801204 Aug 21, 2014 (142)
31 JMKIDD_LAB ss1081554136 Aug 21, 2014 (142)
32 1000GENOMES ss1361305933 Aug 21, 2014 (142)
33 DDI ss1428239938 Apr 01, 2015 (144)
34 EVA_GENOME_DK ss1578433470 Apr 01, 2015 (144)
35 EVA_FINRISK ss1584111266 Apr 01, 2015 (144)
36 EVA_UK10K_ALSPAC ss1637029067 Apr 01, 2015 (144)
37 EVA_UK10K_TWINSUK ss1680023100 Apr 01, 2015 (144)
38 EVA_EXAC ss1693161020 Apr 01, 2015 (144)
39 EVA_DECODE ss1697863397 Apr 01, 2015 (144)
40 EVA_MGP ss1711487262 Apr 01, 2015 (144)
41 EVA_SVP ss1713631403 Apr 01, 2015 (144)
42 ILLUMINA ss1752260918 Sep 08, 2015 (146)
43 WEILL_CORNELL_DGM ss1937269085 Feb 12, 2016 (147)
44 GENOMED ss1968540354 Jul 19, 2016 (147)
45 JJLAB ss2029404602 Sep 14, 2016 (149)
46 USC_VALOUEV ss2157911563 Dec 20, 2016 (150)
47 HUMAN_LONGEVITY ss2222159297 Dec 20, 2016 (150)
48 SYSTEMSBIOZJU ss2629199890 Nov 08, 2017 (151)
49 ILLUMINA ss2633481474 Nov 08, 2017 (151)
50 GRF ss2702502776 Nov 08, 2017 (151)
51 GNOMAD ss2743314046 Nov 08, 2017 (151)
52 GNOMAD ss2749963861 Nov 08, 2017 (151)
53 GNOMAD ss2957480814 Nov 08, 2017 (151)
54 AFFY ss2985119524 Nov 08, 2017 (151)
55 AFFY ss2985757378 Nov 08, 2017 (151)
56 SWEGEN ss3016640089 Nov 08, 2017 (151)
57 BIOINF_KMB_FNS_UNIBA ss3028531522 Nov 08, 2017 (151)
58 CSHL ss3352055363 Nov 08, 2017 (151)
59 ILLUMINA ss3627824885 Oct 12, 2018 (152)
60 ILLUMINA ss3631457673 Oct 12, 2018 (152)
61 ILLUMINA ss3633164936 Oct 12, 2018 (152)
62 ILLUMINA ss3633873812 Oct 12, 2018 (152)
63 ILLUMINA ss3634708931 Oct 12, 2018 (152)
64 ILLUMINA ss3635561049 Oct 12, 2018 (152)
65 ILLUMINA ss3636398469 Oct 12, 2018 (152)
66 ILLUMINA ss3637312667 Oct 12, 2018 (152)
67 ILLUMINA ss3638199982 Oct 12, 2018 (152)
68 ILLUMINA ss3640416239 Oct 12, 2018 (152)
69 ILLUMINA ss3643175426 Oct 12, 2018 (152)
70 OMUKHERJEE_ADBS ss3646523968 Oct 12, 2018 (152)
71 ILLUMINA ss3653891635 Oct 12, 2018 (152)
72 EGCUT_WGS ss3683486955 Jul 13, 2019 (153)
73 EVA_DECODE ss3701797555 Jul 13, 2019 (153)
74 ILLUMINA ss3725681892 Jul 13, 2019 (153)
75 ACPOP ss3742604341 Jul 13, 2019 (153)
76 ILLUMINA ss3745009064 Jul 13, 2019 (153)
77 EVA ss3755478210 Jul 13, 2019 (153)
78 ILLUMINA ss3772506531 Jul 13, 2019 (153)
79 KHV_HUMAN_GENOMES ss3820733623 Jul 13, 2019 (153)
80 EVA ss3825194925 Apr 27, 2020 (154)
81 EVA ss3825916608 Apr 27, 2020 (154)
82 EVA ss3835204918 Apr 27, 2020 (154)
83 SGDP_PRJ ss3887162425 Apr 27, 2020 (154)
84 KRGDB ss3937051227 Apr 27, 2020 (154)
85 KOGIC ss3980281448 Apr 27, 2020 (154)
86 FSA-LAB ss3984133669 Apr 27, 2021 (155)
87 EVA ss3984733881 Apr 27, 2021 (155)
88 EVA ss3985830581 Apr 27, 2021 (155)
89 EVA ss3986759593 Apr 27, 2021 (155)
90 EVA ss4017801767 Apr 27, 2021 (155)
91 TOMMO_GENOMICS ss6178250428 Nov 01, 2024 (157)
92 EVA ss6276427526 Nov 01, 2024 (157)
93 EVA ss6318683762 Nov 01, 2024 (157)
94 EVA ss6322038333 Nov 01, 2024 (157)
95 EVA ss6322606159 Nov 01, 2024 (157)
96 EVA ss6333401754 Nov 01, 2024 (157)
97 YEGNASUBRAMANIAN_LAB ss6347572319 Nov 01, 2024 (157)
98 KOGIC ss6397328635 Nov 01, 2024 (157)
99 EVA ss6404192647 Nov 01, 2024 (157)
100 EVA ss6404692224 Nov 01, 2024 (157)
101 GNOMAD ss6463384875 Nov 01, 2024 (157)
102 TOPMED ss8059206801 Nov 01, 2024 (157)
103 TOMMO_GENOMICS ss8225485672 Nov 01, 2024 (157)
104 1000G_HIGH_COVERAGE ss8305535475 Nov 01, 2024 (157)
105 EVA ss8315938315 Nov 01, 2024 (157)
106 EVA ss8431872336 Nov 01, 2024 (157)
107 HUGCELL_USP ss8498279388 Nov 01, 2024 (157)
108 1000G_HIGH_COVERAGE ss8610505614 Nov 01, 2024 (157)
109 SANFORD_IMAGENETICS ss8661433051 Nov 01, 2024 (157)
110 TOMMO_GENOMICS ss8783367321 Nov 01, 2024 (157)
111 EVA ss8799995493 Nov 01, 2024 (157)
112 YY_MCH ss8817159180 Nov 01, 2024 (157)
113 EVA ss8827641336 Nov 01, 2024 (157)
114 EVA ss8848469441 Nov 01, 2024 (157)
115 EVA ss8852082456 Nov 01, 2024 (157)
116 EVA ss8874367739 Nov 01, 2024 (157)
117 EVA ss8952857318 Nov 01, 2024 (157)
118 EVA ss8981306557 Nov 01, 2024 (157)
119 EVA ss8981827647 Nov 01, 2024 (157)
120 EVA ss8981827648 Nov 01, 2024 (157)
121 EVA ss8982056685 Nov 01, 2024 (157)
122 LNCC-LABINFO ss8982098639 Nov 01, 2024 (157)
123 GNOMAD ss10037018507 Nov 01, 2024 (157)
124 1000Genomes NC_000018.9 - 55238820 Oct 12, 2018 (152)
125 1000Genomes_30X NC_000018.10 - 57571588 Nov 01, 2024 (157)
126 The Avon Longitudinal Study of Parents and Children NC_000018.9 - 55238820 Oct 12, 2018 (152)
127 Chileans NC_000018.9 - 55238820 Apr 27, 2020 (154)
128 Genetic variation in the Estonian population NC_000018.9 - 55238820 Oct 12, 2018 (152)
129 ExAC NC_000018.9 - 55238820 Oct 12, 2018 (152)
130 FINRISK NC_000018.9 - 55238820 Apr 27, 2020 (154)
131 The Danish reference pan genome NC_000018.9 - 55238820 Apr 27, 2020 (154)
132 gnomAD v4 - Exomes NC_000018.10 - 57571588 Nov 01, 2024 (157)
133 gnomAD v4 - Genomes NC_000018.10 - 57571588 Nov 01, 2024 (157)
134 GO Exome Sequencing Project NC_000018.9 - 55238820 Oct 12, 2018 (152)
135 Genome of the Netherlands Release 5 NC_000018.9 - 55238820 Apr 27, 2020 (154)
136 HapMap NC_000018.10 - 57571588 Apr 27, 2020 (154)
137 KOREAN population from KRGDB NC_000018.9 - 55238820 Apr 27, 2020 (154)
138 Korean Genome Project NC_000018.10 - 57571588 Apr 27, 2020 (154)
139 Korean Genome Project 4K NC_000018.10 - 57571588 Nov 01, 2024 (157)
140 Medical Genome Project healthy controls from Spanish population NC_000018.9 - 55238820 Apr 27, 2020 (154)
141 Northern Sweden NC_000018.9 - 55238820 Jul 13, 2019 (153)
142 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000018.9 - 55238820 Apr 27, 2021 (155)
143 CNV burdens in cranial meningiomas NC_000018.9 - 55238820 Apr 27, 2021 (155)
144 Qatari NC_000018.9 - 55238820 Apr 27, 2020 (154)
145 SGDP_PRJ NC_000018.9 - 55238820 Apr 27, 2020 (154)
146 Siberian NC_000018.9 - 55238820 Apr 27, 2020 (154)
147 38KJPN NC_000018.10 - 57571588 Nov 01, 2024 (157)
148 TopMed NC_000018.10 - 57571588 Apr 27, 2021 (155)
149 UK 10K study - Twins NC_000018.9 - 55238820 Oct 12, 2018 (152)
150 ALFA NC_000018.10 - 57571588 Nov 01, 2024 (157)
151 ClinVar RCV000000592.26 Nov 01, 2024 (157)
152 ClinVar RCV000414979.5 Nov 01, 2024 (157)
153 ClinVar RCV001195427.8 Nov 01, 2024 (157)
154 ClinVar RCV001381522.25 Nov 01, 2024 (157)
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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)
rs281860678 Dec 12, 2012 (136)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
44228621, ss3937051227 NC_000018.9:55238819:A:C NC_000018.10:57571587:A:C (self)
ss76643273, ss90807630, ss160525370, ss283015890, ss480496823, ss1697863397, ss1713631403, ss3643175426 NC_000018.8:53389817:A:G NC_000018.10:57571587:A:G (self)
74644814, 41367284, 196821, 29225203, 3633685, 107727, 4624271, 1651940, 18427487, 44228621, 603022, 15889206, 1056508, 283433, 19311007, 39179405, 10427917, 41367284, ss237493747, ss243737172, ss480511166, ss481315718, ss485045912, ss491140633, ss537066223, ss661519942, ss713447701, ss778488869, ss782969178, ss783930857, ss832225480, ss833944844, ss993801204, ss1081554136, ss1361305933, ss1428239938, ss1578433470, ss1584111266, ss1637029067, ss1680023100, ss1693161020, ss1711487262, ss1752260918, ss1937269085, ss1968540354, ss2029404602, ss2157911563, ss2629199890, ss2633481474, ss2702502776, ss2743314046, ss2749963861, ss2957480814, ss2985119524, ss2985757378, ss3016640089, ss3352055363, ss3627824885, ss3631457673, ss3633164936, ss3633873812, ss3634708931, ss3635561049, ss3636398469, ss3637312667, ss3638199982, ss3640416239, ss3646523968, ss3653891635, ss3683486955, ss3742604341, ss3745009064, ss3755478210, ss3772506531, ss3825194925, ss3825916608, ss3835204918, ss3887162425, ss3937051227, ss3984133669, ss3984733881, ss3985830581, ss3986759593, ss4017801767, ss6276427526, ss6318683762, ss6322606159, ss6333401754, ss6347572319, ss6404692224, ss8225485672, ss8315938315, ss8431872336, ss8661433051, ss8799995493, ss8827641336, ss8848469441, ss8952857318, ss8981306557, ss8981827647, ss8981827648 NC_000018.9:55238819:A:G NC_000018.10:57571587:A:G (self)
RCV000000592.26, RCV000414979.5, RCV001195427.8, RCV001381522.25, 98031549, 58725525, 564583275, 1616577, 36659449, 47180533, 195626248, 274752464, 5555036419, ss539053073, ss2222159297, ss3028531522, ss3701797555, ss3725681892, ss3820733623, ss3980281448, ss6178250428, ss6322038333, ss6397328635, ss6404192647, ss6463384875, ss8059206801, ss8305535475, ss8498279388, ss8610505614, ss8783367321, ss8817159180, ss8852082456, ss8874367739, ss8982056685, ss8982098639, ss10037018507 NC_000018.10:57571587:A:G NC_000018.10:57571587:A:G (self)
ss3208001, ss46554129, ss65758684, ss74864669, ss106549175, ss119425710, ss137405385, ss155235936, ss173233376 NT_025028.14:3029683:A:G NC_000018.10:57571587:A:G (self)
5555036419 NC_000018.10:57571587:A:T NC_000018.10:57571587:A:T (self)
Help

Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.

7 citations for rs2272783
PMID Title Author Year Journal
11753383 The penetrance of dominant erythropoietic protoporphyria is modulated by expression of wildtype FECH. Gouya L et al. 2002 Nature genetics
14669009 Modulation of penetrance by the wild-type allele in dominantly inherited erythropoietic protoporphyria and acute hepatic porphyrias. Gouya L et al. 2004 Human genetics
16385445 Contribution of a common single-nucleotide polymorphism to the genetic predisposition for erythropoietic protoporphyria. Gouya L et al. 2006 American journal of human genetics
17875872 Clinical, biochemical, and genetic study of 11 patients with erythropoietic protoporphyria including one with homozygous disease. Herrero C et al. 2007 Archives of dermatology
23016163 Erythropoietic Protoporphyria, Autosomal Recessive. Balwani M et al. 1993 GeneReviews(®)
23386860 Exploring genome-wide - dietary heme iron intake interactions and the risk of type 2 diabetes. Pasquale LR et al. 2013 Frontiers in 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
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.

Software version is: 2.0.1.post825+45319f0