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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.

rs16891982

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr5:33951588 (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
C>A / C>G
Variation Type
SNV Single Nucleotide Variation
Frequency
C=0.411224 (108847/264690, TOPMED)
C=0.354960 (89244/251420, GnomAD_exome)
C=0.359699 (43630/121296, ExAC) (+ 20 more)
C=0.13431 (5371/39990, ALFA)
G=0.00011 (3/28258, 14KJPN)
G=0.00012 (2/16760, 8.3KJPN)
G=0.2755 (1764/6404, 1000G_30x)
G=0.2750 (1377/5008, 1000G)
C=0.0165 (74/4480, Estonian)
C=0.0348 (134/3854, ALSPAC)
C=0.0289 (107/3708, TWINSUK)
G=0.0007 (2/2922, KOREAN)
C=0.3428 (388/1132, Daghestan)
C=0.020 (20/998, GoNL)
G=0.010 (8/790, PRJEB37584)
C=0.030 (18/600, NorthernSweden)
C=0.199 (106/534, MGP)
G=0.365 (114/312, HapMap)
G=0.065 (14/216, Qatari)
C=0.201 (35/174, SGDP_PRJ)
G=0.29 (24/82, Ancient Sardinia)
C=0.07 (3/42, Siberian)
C=0.05 (2/40, GENOME_DK)
Clinical Significance
Reported in ClinVar
Gene : Consequence
SLC45A2 : Missense Variant
Publications
76 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: 20230706150541
Population Group Sample Size Ref Allele Alt Allele
Total Global 39990 C=0.13431 A=0.00000, G=0.86569
European Sub 29684 C=0.04494 A=0.00000, G=0.95506
African Sub 2754 C=0.8646 A=0.0000, G=0.1354
African Others Sub 120 C=0.983 A=0.000, G=0.017
African American Sub 2634 C=0.8591 A=0.0000, G=0.1409
Asian Sub 164 C=0.994 A=0.000, G=0.006
East Asian Sub 108 C=1.000 A=0.000, G=0.000
Other Asian Sub 56 C=0.98 A=0.00, G=0.02
Latin American 1 Sub 394 C=0.627 A=0.000, G=0.373
Latin American 2 Sub 202 C=0.941 A=0.000, G=0.059
South Asian Sub 78 C=0.99 A=0.00, G=0.01
Other Sub 6714 C=0.1458 A=0.0000, G=0.8542


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
TopMed Global Study-wide 264690 C=0.411224 G=0.588776
gnomAD - Exomes Global Study-wide 251420 C=0.354960 G=0.645040
gnomAD - Exomes European Sub 135376 C=0.040502 G=0.959498
gnomAD - Exomes Asian Sub 49004 C=0.93876 G=0.06124
gnomAD - Exomes American Sub 34570 C=0.61863 G=0.38137
gnomAD - Exomes African Sub 16252 C=0.85220 G=0.14780
gnomAD - Exomes Ashkenazi Jewish Sub 10078 C=0.08990 G=0.91010
gnomAD - Exomes Other Sub 6140 C=0.2632 G=0.7368
ExAC Global Study-wide 121296 C=0.359699 G=0.640301
ExAC Europe Sub 73320 C=0.04523 G=0.95477
ExAC Asian Sub 25132 C=0.93825 G=0.06175
ExAC American Sub 11540 C=0.66092 G=0.33908
ExAC African Sub 10396 C=0.84542 G=0.15458
ExAC Other Sub 908 C=0.350 G=0.650
Allele Frequency Aggregator Total Global 39990 C=0.13431 A=0.00000, G=0.86569
Allele Frequency Aggregator European Sub 29684 C=0.04494 A=0.00000, G=0.95506
Allele Frequency Aggregator Other Sub 6714 C=0.1458 A=0.0000, G=0.8542
Allele Frequency Aggregator African Sub 2754 C=0.8646 A=0.0000, G=0.1354
Allele Frequency Aggregator Latin American 1 Sub 394 C=0.627 A=0.000, G=0.373
Allele Frequency Aggregator Latin American 2 Sub 202 C=0.941 A=0.000, G=0.059
Allele Frequency Aggregator Asian Sub 164 C=0.994 A=0.000, G=0.006
Allele Frequency Aggregator South Asian Sub 78 C=0.99 A=0.00, G=0.01
14KJPN JAPANESE Study-wide 28258 C=0.99989 G=0.00011
8.3KJPN JAPANESE Study-wide 16760 C=0.99988 G=0.00012
1000Genomes_30x Global Study-wide 6404 C=0.7245 G=0.2755
1000Genomes_30x African Sub 1786 C=0.9698 G=0.0302
1000Genomes_30x Europe Sub 1266 C=0.0664 G=0.9336
1000Genomes_30x South Asian Sub 1202 C=0.9426 G=0.0574
1000Genomes_30x East Asian Sub 1170 C=0.9923 G=0.0077
1000Genomes_30x American Sub 980 C=0.541 G=0.459
1000Genomes Global Study-wide 5008 C=0.7250 G=0.2750
1000Genomes African Sub 1322 C=0.9644 G=0.0356
1000Genomes East Asian Sub 1008 C=0.9940 G=0.0060
1000Genomes Europe Sub 1006 C=0.0616 G=0.9384
1000Genomes South Asian Sub 978 C=0.941 G=0.059
1000Genomes American Sub 694 C=0.536 G=0.464
Genetic variation in the Estonian population Estonian Study-wide 4480 C=0.0165 G=0.9835
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 C=0.0348 G=0.9652
UK 10K study - Twins TWIN COHORT Study-wide 3708 C=0.0289 G=0.9711
KOREAN population from KRGDB KOREAN Study-wide 2922 C=0.9993 G=0.0007
Genome-wide autozygosity in Daghestan Global Study-wide 1132 C=0.3428 G=0.6572
Genome-wide autozygosity in Daghestan Daghestan Sub 624 C=0.178 G=0.822
Genome-wide autozygosity in Daghestan Near_East Sub 144 C=0.604 G=0.396
Genome-wide autozygosity in Daghestan Central Asia Sub 122 C=0.623 G=0.377
Genome-wide autozygosity in Daghestan Europe Sub 108 C=0.056 G=0.944
Genome-wide autozygosity in Daghestan South Asian Sub 98 C=0.96 G=0.04
Genome-wide autozygosity in Daghestan Caucasus Sub 36 C=0.39 G=0.61
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 C=0.020 G=0.980
CNV burdens in cranial meningiomas Global Study-wide 790 C=0.990 G=0.010
CNV burdens in cranial meningiomas CRM Sub 790 C=0.990 G=0.010
Northern Sweden ACPOP Study-wide 600 C=0.030 G=0.970
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 C=0.199 G=0.801
HapMap Global Study-wide 312 C=0.635 G=0.365
HapMap American Sub 116 C=0.017 G=0.983
HapMap African Sub 114 C=1.000 G=0.000
HapMap Asian Sub 82 C=1.00 G=0.00
Qatari Global Study-wide 216 C=0.935 G=0.065
SGDP_PRJ Global Study-wide 174 C=0.201 G=0.799
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 82 C=0.71 G=0.29
Siberian Global Study-wide 42 C=0.07 G=0.93
The Danish reference pan genome Danish Study-wide 40 C=0.05 G=0.95
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 5 NC_000005.10:g.33951588C>A
GRCh38.p14 chr 5 NC_000005.10:g.33951588C>G
GRCh37.p13 chr 5 NC_000005.9:g.33951693C>A
GRCh37.p13 chr 5 NC_000005.9:g.33951693C>G
SLC45A2 RefSeqGene NG_011691.2:g.38088C>G
SLC45A2 RefSeqGene NG_011691.2:g.38088C>T
GRCh38.p14 chr 5 alt locus HSCHR5_6_CTG1 NT_187551.1:g.152910C>A
GRCh38.p14 chr 5 alt locus HSCHR5_6_CTG1 NT_187551.1:g.152910C>G
Gene: SLC45A2, solute carrier family 45 member 2 (minus strand)
Molecule type Change Amino acid[Codon] SO Term
SLC45A2 transcript variant 3 NM_001297417.4:c.*64= N/A 3 Prime UTR Variant
SLC45A2 transcript variant 1 NM_016180.5:c.1122G>T L [TTG] > F [TTT] Coding Sequence Variant
membrane-associated transporter protein isoform a NP_057264.4:p.Leu374Phe L (Leu) > F (Phe) Missense Variant
SLC45A2 transcript variant 1 NM_016180.5:c.1122G>C L [TTG] > F [TTC] Coding Sequence Variant
membrane-associated transporter protein isoform a NP_057264.4:p.Leu374Phe L (Leu) > F (Phe) Missense Variant
SLC45A2 transcript variant 2 NM_001012509.4:c.1122G>T L [TTG] > F [TTT] Coding Sequence Variant
membrane-associated transporter protein isoform b NP_001012527.2:p.Leu374Phe L (Leu) > F (Phe) Missense Variant
SLC45A2 transcript variant 2 NM_001012509.4:c.1122G>C L [TTG] > F [TTC] Coding Sequence Variant
membrane-associated transporter protein isoform b NP_001012527.2:p.Leu374Phe L (Leu) > F (Phe) Missense Variant
SLC45A2 transcript variant X2 XM_047417260.1:c. N/A Genic Downstream Transcript Variant
SLC45A2 transcript variant X1 XM_047417259.1:c.882G>T L [TTG] > F [TTT] Coding Sequence Variant
membrane-associated transporter protein isoform X1 XP_047273215.1:p.Leu294Phe L (Leu) > F (Phe) Missense Variant
SLC45A2 transcript variant X1 XM_047417259.1:c.882G>C L [TTG] > F [TTC] Coding Sequence Variant
membrane-associated transporter protein isoform X1 XP_047273215.1:p.Leu294Phe L (Leu) > F (Phe) 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: 19544 )
ClinVar Accession Disease Names Clinical Significance
RCV000004763.4 Skin/hair/eye pigmentation, variation in, 5 Association
RCV000022392.1 Malignant melanoma of skin Protective
RCV000948184.5 not provided Benign
Allele: G (allele ID: 194990 )
ClinVar Accession Disease Names Clinical Significance
RCV000178963.3 not specified Benign
RCV001519776.6 not provided Benign
RCV001808456.2 Oculocutaneous albinism type 4 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 C= A G
GRCh38.p14 chr 5 NC_000005.10:g.33951588= NC_000005.10:g.33951588C>A NC_000005.10:g.33951588C>G
GRCh37.p13 chr 5 NC_000005.9:g.33951693= NC_000005.9:g.33951693C>A NC_000005.9:g.33951693C>G
SLC45A2 RefSeqGene NG_011691.2:g.38088C>G NG_011691.2:g.38088C>T NG_011691.2:g.38088=
SLC45A2 transcript variant 1 NM_016180.5:c.1122= NM_016180.5:c.1122G>T NM_016180.5:c.1122G>C
SLC45A2 transcript variant 1 NM_016180.4:c.1122C>G NM_016180.4:c.1122C>T NM_016180.4:c.1122=
SLC45A2 transcript variant 1 NM_016180.3:c.1122C>G NM_016180.3:c.1122C>T NM_016180.3:c.1122=
SLC45A2 transcript variant 2 NM_001012509.4:c.1122= NM_001012509.4:c.1122G>T NM_001012509.4:c.1122G>C
SLC45A2 transcript variant 2 NM_001012509.3:c.1122C>G NM_001012509.3:c.1122C>T NM_001012509.3:c.1122=
SLC45A2 transcript variant 2 NM_001012509.2:c.1122C>G NM_001012509.2:c.1122C>T NM_001012509.2:c.1122=
SLC45A2 transcript variant 3 NM_001297417.4:c.*64= NM_001297417.4:c.*64G>T NM_001297417.4:c.*64G>C
SLC45A2 transcript variant 3 NM_001297417.3:c.*64= NM_001297417.3:c.*64G>T NM_001297417.3:c.*64G>C
SLC45A2 transcript variant 3 NM_001297417.2:c.*64C>G NM_001297417.2:c.*64C>T NM_001297417.2:c.*64=
SLC45A2 transcript variant 3 NM_001297417.1:c.*64C>G NM_001297417.1:c.*64C>T NM_001297417.1:c.*64=
GRCh38.p14 chr 5 alt locus HSCHR5_6_CTG1 NT_187551.1:g.152910= NT_187551.1:g.152910C>A NT_187551.1:g.152910C>G
SLC45A2 transcript variant X1 XM_047417259.1:c.882= XM_047417259.1:c.882G>T XM_047417259.1:c.882G>C
membrane-associated transporter protein isoform a NP_057264.4:p.Leu374= NP_057264.4:p.Leu374Phe NP_057264.4:p.Leu374Phe
membrane-associated transporter protein isoform b NP_001012527.2:p.Leu374= NP_001012527.2:p.Leu374Phe NP_001012527.2:p.Leu374Phe
membrane-associated transporter protein isoform X1 XP_047273215.1:p.Leu294= XP_047273215.1:p.Leu294Phe XP_047273215.1:p.Leu294Phe
membrane-associated transporter protein isoform b NP_001012527.1:p.Phe374Leu NP_001012527.1:p.Phe374= NP_001012527.1:p.Phe374=
membrane-associated transporter protein isoform a NP_057264.3:p.Phe374Leu NP_057264.3:p.Phe374= NP_057264.3:p.Phe374=
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#.

111 SubSNP, 25 Frequency, 6 ClinVar submissions
No Submitter Submission ID Date (Build)
1 PERLEGEN ss23456916 Sep 20, 2004 (123)
2 MGC_GENOME_DIFF ss28510204 Sep 24, 2004 (126)
3 ABI ss44669869 Mar 10, 2006 (126)
4 PERLEGEN ss68931899 May 16, 2007 (127)
5 AFFY ss74816457 Aug 16, 2007 (128)
6 ILLUMINA ss74858559 Dec 06, 2007 (129)
7 HGSV ss78414960 Dec 06, 2007 (129)
8 CORNELL ss86270034 Mar 23, 2008 (129)
9 BCMHGSC_JDW ss93054654 Mar 24, 2008 (129)
10 HUMANGENOME_JCVI ss98610228 Feb 06, 2009 (130)
11 1000GENOMES ss108947755 Jan 23, 2009 (130)
12 ENSEMBL ss143019484 Dec 01, 2009 (131)
13 ENSEMBL ss143988735 Dec 01, 2009 (131)
14 ILLUMINA ss153570135 Dec 01, 2009 (131)
15 ILLUMINA ss159296044 Dec 01, 2009 (131)
16 SEATTLESEQ ss159709227 Dec 01, 2009 (131)
17 COMPLETE_GENOMICS ss162160738 Jul 04, 2010 (132)
18 COMPLETE_GENOMICS ss166398089 Jul 04, 2010 (132)
19 ILLUMINA ss172648543 Jul 04, 2010 (132)
20 BCM-HGSC-SUB ss206963162 Jul 04, 2010 (132)
21 1000GENOMES ss232898702 Jul 14, 2010 (132)
22 ILLUMINA ss244281104 Jul 04, 2010 (132)
23 BL ss253359461 May 09, 2011 (134)
24 OMIM-CURATED-RECORDS ss275513746 Nov 22, 2010 (133)
25 GMI ss285153617 Apr 25, 2013 (138)
26 PJP ss293564852 May 09, 2011 (134)
27 NHLBI-ESP ss342179194 May 09, 2011 (134)
28 ILLUMINA ss410909706 Sep 17, 2011 (135)
29 PAGE_STUDY ss469414443 May 04, 2012 (137)
30 PAGE_STUDY ss469415108 May 04, 2012 (137)
31 1000GENOMES ss490901540 May 04, 2012 (137)
32 EXOME_CHIP ss491365273 May 04, 2012 (137)
33 ILLUMINA ss832808140 Aug 21, 2014 (142)
34 ILLUMINA ss833398970 Aug 21, 2014 (142)
35 EVA-GONL ss981430573 Aug 21, 2014 (142)
36 JMKIDD_LAB ss1067467357 Aug 21, 2014 (142)
37 JMKIDD_LAB ss1072530248 Aug 21, 2014 (142)
38 1000GENOMES ss1314583040 Aug 21, 2014 (142)
39 HAMMER_LAB ss1397409772 Sep 08, 2015 (146)
40 DDI ss1430303032 Apr 01, 2015 (144)
41 EVA_GENOME_DK ss1581086762 Apr 01, 2015 (144)
42 EVA_DECODE ss1590953132 Apr 01, 2015 (144)
43 EVA_UK10K_ALSPAC ss1612627046 Apr 01, 2015 (144)
44 EVA_UK10K_TWINSUK ss1655621079 Apr 01, 2015 (144)
45 EVA_EXAC ss1687774625 Apr 01, 2015 (144)
46 EVA_MGP ss1711083763 Apr 01, 2015 (144)
47 WEILL_CORNELL_DGM ss1924692328 Feb 12, 2016 (147)
48 GENOMED ss1970059604 Jul 19, 2016 (147)
49 JJLAB ss2022948859 Sep 14, 2016 (149)
50 ILLUMINA ss2094818058 Dec 20, 2016 (150)
51 USC_VALOUEV ss2151099537 Dec 20, 2016 (150)
52 HUMAN_LONGEVITY ss2272760733 Dec 20, 2016 (150)
53 ILLUMINA ss2635142577 Nov 08, 2017 (151)
54 GNOMAD ss2734944774 Nov 08, 2017 (151)
55 GNOMAD ss2747368571 Nov 08, 2017 (151)
56 GNOMAD ss2823086945 Nov 08, 2017 (151)
57 AFFY ss2985318709 Nov 08, 2017 (151)
58 AFFY ss2985949465 Nov 08, 2017 (151)
59 SWEGEN ss2996714412 Nov 08, 2017 (151)
60 BIOINF_KMB_FNS_UNIBA ss3025259923 Nov 08, 2017 (151)
61 CSHL ss3346328181 Nov 08, 2017 (151)
62 ILLUMINA ss3638547022 Oct 12, 2018 (152)
63 ILLUMINA ss3643493561 Oct 12, 2018 (152)
64 OMUKHERJEE_ADBS ss3646317967 Oct 12, 2018 (152)
65 URBANLAB ss3648028556 Oct 12, 2018 (152)
66 ILLUMINA ss3654091892 Oct 12, 2018 (152)
67 EGCUT_WGS ss3664610907 Jul 13, 2019 (153)
68 EVA_DECODE ss3714441075 Jul 13, 2019 (153)
69 ACPOP ss3732244945 Jul 13, 2019 (153)
70 EVA ss3763276390 Jul 13, 2019 (153)
71 PACBIO ss3785077388 Jul 13, 2019 (153)
72 PACBIO ss3790489121 Jul 13, 2019 (153)
73 PACBIO ss3795365547 Jul 13, 2019 (153)
74 KHV_HUMAN_GENOMES ss3806451660 Jul 13, 2019 (153)
75 EVA ss3824075409 Apr 26, 2020 (154)
76 EVA ss3825671046 Apr 26, 2020 (154)
77 EVA ss3829184766 Apr 26, 2020 (154)
78 EVA ss3838060945 Apr 26, 2020 (154)
79 EVA ss3843500079 Apr 26, 2020 (154)
80 SGDP_PRJ ss3861583053 Apr 26, 2020 (154)
81 KRGDB ss3908053045 Apr 26, 2020 (154)
82 FSA-LAB ss3984303662 Apr 26, 2021 (155)
83 EVA ss3984545321 Apr 26, 2021 (155)
84 EVA ss3985134221 Apr 26, 2021 (155)
85 EVA ss3986304063 Apr 26, 2021 (155)
86 VINODS ss4024245278 Apr 26, 2021 (155)
87 TOPMED ss4655430805 Apr 26, 2021 (155)
88 TOMMO_GENOMICS ss5171148843 Apr 26, 2021 (155)
89 EVA ss5237011915 Apr 26, 2021 (155)
90 EVA ss5237185192 Apr 26, 2021 (155)
91 EVA ss5237643385 Oct 13, 2022 (156)
92 1000G_HIGH_COVERAGE ss5263485472 Oct 13, 2022 (156)
93 TRAN_CS_UWATERLOO ss5314412294 Oct 13, 2022 (156)
94 EVA ss5356745848 Oct 13, 2022 (156)
95 HUGCELL_USP ss5461765308 Oct 13, 2022 (156)
96 1000G_HIGH_COVERAGE ss5546867407 Oct 13, 2022 (156)
97 EVA ss5624146099 Oct 13, 2022 (156)
98 SANFORD_IMAGENETICS ss5637543198 Oct 13, 2022 (156)
99 TOMMO_GENOMICS ss5707032383 Oct 13, 2022 (156)
100 EVA ss5799402083 Oct 13, 2022 (156)
101 EVA ss5799424902 Oct 13, 2022 (156)
102 EVA ss5800053855 Oct 13, 2022 (156)
103 EVA ss5800120689 Oct 13, 2022 (156)
104 YY_MCH ss5806173330 Oct 13, 2022 (156)
105 EVA ss5834758401 Oct 13, 2022 (156)
106 EVA ss5848624728 Oct 13, 2022 (156)
107 EVA ss5893674607 Oct 13, 2022 (156)
108 EVA ss5936526824 Oct 13, 2022 (156)
109 EVA ss5965960160 Oct 13, 2022 (156)
110 EVA ss5980287840 Oct 13, 2022 (156)
111 EVA ss5981227362 Oct 13, 2022 (156)
112 1000Genomes NC_000005.9 - 33951693 Oct 12, 2018 (152)
113 1000Genomes_30x NC_000005.10 - 33951588 Oct 13, 2022 (156)
114 The Avon Longitudinal Study of Parents and Children NC_000005.9 - 33951693 Oct 12, 2018 (152)
115 Genome-wide autozygosity in Daghestan NC_000005.8 - 33987450 Apr 26, 2020 (154)
116 Genetic variation in the Estonian population NC_000005.9 - 33951693 Oct 12, 2018 (152)
117 ExAC NC_000005.9 - 33951693 Oct 12, 2018 (152)
118 The Danish reference pan genome NC_000005.9 - 33951693 Apr 26, 2020 (154)
119 gnomAD - Genomes

Submission ignored due to conflicting rows:
Row 184856545 (NC_000005.10:33951587:C:A 2/140136)
Row 184856546 (NC_000005.10:33951587:C:G 92379/140098)

- Apr 26, 2021 (155)
120 gnomAD - Genomes

Submission ignored due to conflicting rows:
Row 184856545 (NC_000005.10:33951587:C:A 2/140136)
Row 184856546 (NC_000005.10:33951587:C:G 92379/140098)

- Apr 26, 2021 (155)
121 gnomAD - Exomes NC_000005.9 - 33951693 Jul 13, 2019 (153)
122 Genome of the Netherlands Release 5 NC_000005.9 - 33951693 Apr 26, 2020 (154)
123 HapMap NC_000005.10 - 33951588 Apr 26, 2020 (154)
124 KOREAN population from KRGDB NC_000005.9 - 33951693 Apr 26, 2020 (154)
125 Medical Genome Project healthy controls from Spanish population NC_000005.9 - 33951693 Apr 26, 2020 (154)
126 Northern Sweden NC_000005.9 - 33951693 Jul 13, 2019 (153)
127 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000005.9 - 33951693 Apr 26, 2021 (155)
128 CNV burdens in cranial meningiomas NC_000005.9 - 33951693 Apr 26, 2021 (155)
129 Qatari NC_000005.9 - 33951693 Apr 26, 2020 (154)
130 SGDP_PRJ NC_000005.9 - 33951693 Apr 26, 2020 (154)
131 Siberian NC_000005.9 - 33951693 Apr 26, 2020 (154)
132 8.3KJPN NC_000005.9 - 33951693 Apr 26, 2021 (155)
133 14KJPN NC_000005.10 - 33951588 Oct 13, 2022 (156)
134 TopMed NC_000005.10 - 33951588 Apr 26, 2021 (155)
135 UK 10K study - Twins NC_000005.9 - 33951693 Oct 12, 2018 (152)
136 ALFA NC_000005.10 - 33951588 Apr 26, 2021 (155)
137 ClinVar RCV000004763.4 Oct 12, 2018 (152)
138 ClinVar RCV000022392.1 Oct 12, 2018 (152)
139 ClinVar RCV000178963.3 Oct 13, 2022 (156)
140 ClinVar RCV000948184.5 Oct 13, 2022 (156)
141 ClinVar RCV001519776.6 Oct 13, 2022 (156)
142 ClinVar RCV001808456.2 Oct 13, 2022 (156)
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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)
rs17855902 Mar 10, 2006 (126)
rs52801453 Sep 21, 2007 (128)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
10944055137 NC_000005.10:33951587:C:A NC_000005.10:33951587:C:A (self)
384852, ss78414960, ss93054654, ss108947755, ss162160738, ss166398089, ss206963162, ss253359461, ss285153617, ss293564852, ss410909706, ss1397409772, ss1590953132, ss2635142577, ss3643493561 NC_000005.8:33987449:C:G NC_000005.10:33951587:C:G (self)
26165210, 14554487, 10349155, 7762376, 7251701, 4061240, 6466929, 15230439, 199523, 5529810, 360148, 94686, 6734258, 13600033, 3615891, 29118150, 14554487, ss232898702, ss342179194, ss490901540, ss491365273, ss832808140, ss833398970, ss981430573, ss1067467357, ss1072530248, ss1314583040, ss1430303032, ss1581086762, ss1612627046, ss1655621079, ss1687774625, ss1711083763, ss1924692328, ss1970059604, ss2022948859, ss2094818058, ss2151099537, ss2734944774, ss2747368571, ss2823086945, ss2985318709, ss2985949465, ss2996714412, ss3346328181, ss3638547022, ss3646317967, ss3654091892, ss3664610907, ss3732244945, ss3763276390, ss3785077388, ss3790489121, ss3795365547, ss3824075409, ss3825671046, ss3829184766, ss3838060945, ss3861583053, ss3908053045, ss3984303662, ss3984545321, ss3985134221, ss3986304063, ss5171148843, ss5356745848, ss5624146099, ss5637543198, ss5799402083, ss5799424902, ss5800053855, ss5800120689, ss5834758401, ss5848624728, ss5936526824, ss5965960160, ss5980287840, ss5981227362 NC_000005.9:33951692:C:G NC_000005.10:33951587:C:G (self)
RCV000178963.3, RCV001519776.6, RCV001808456.2, 34393342, 2842876, 40869487, 492808362, 10944055137, ss275513746, ss2272760733, ss3025259923, ss3648028556, ss3714441075, ss3806451660, ss3843500079, ss4655430805, ss5237011915, ss5237185192, ss5237643385, ss5263485472, ss5314412294, ss5461765308, ss5546867407, ss5707032383, ss5806173330, ss5893674607 NC_000005.10:33951587:C:G NC_000005.10:33951587:C:G (self)
ss23456916, ss28510204, ss44669869, ss68931899, ss74816457, ss74858559, ss86270034, ss98610228, ss143019484, ss143988735, ss153570135, ss159296044, ss159709227, ss172648543, ss244281104, ss469414443, ss469415108 NT_006576.16:33941692:C:G NC_000005.10:33951587:C:G (self)
ss4024245278 NT_187551.1:152909:C:G NC_000005.10:33951587:C:G (self)
Help

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

76 citations for rs16891982
PMID Title Author Year Journal
15714523 Single nucleotide polymorphisms in the MATP gene are associated with normal human pigmentation variation. Graf J et al. 2005 Human mutation
17044855 Distribution of the F374 allele of the SLC45A2 (MATP) gene and founder-haplotype analysis. Yuasa I et al. 2006 Annals of human genetics
17999355 A genomewide association study of skin pigmentation in a South Asian population. Stokowski RP et al. 2007 American journal of human genetics
18483556 A genome-wide association study identifies novel alleles associated with hair color and skin pigmentation. Han J et al. 2008 PLoS genetics
18563784 SLC45A2: a novel malignant melanoma-associated gene. Fernandez LP et al. 2008 Human mutation
18683857 Variants of the MATP/SLC45A2 gene are protective for melanoma in the French population. Guedj M et al. 2008 Human mutation
18806926 Association of the SLC45A2 gene with physiological human hair colour variation. Branicki W et al. 2008 Journal of human genetics
19340012 Genome-wide association study of tanning phenotype in a population of European ancestry. Nan H et al. 2009 The Journal of investigative dermatology
19384953 Genetic variants in pigmentation genes, pigmentary phenotypes, and risk of skin cancer in Caucasians. Nan H et al. 2009 International journal of cancer
19440451 Haplotypes in SLC24A5 Gene as Ancestry Informative Markers in Different Populations. Giardina E et al. 2008 Current genomics
19578363 New common variants affecting susceptibility to basal cell carcinoma. Stacey SN et al. 2009 Nature genetics
19668368 Ancestry analysis in the 11-M Madrid bomb attack investigation. Phillips C et al. 2009 PloS one
19710684 Multiple pigmentation gene polymorphisms account for a substantial proportion of risk of cutaneous malignant melanoma. Duffy DL et al. 2010 The Journal of investigative dermatology
20042077 Genetic determinants of hair and eye colours in the Scottish and Danish populations. Mengel-From J et al. 2009 BMC genetics
20158590 Predicting phenotype from genotype: normal pigmentation. Valenzuela RK et al. 2010 Journal of forensic sciences
20457063 Human eye colour and HERC2, OCA2 and MATP. Mengel-From J et al. 2010 Forensic science international. Genetics
20463881 Digital quantification of human eye color highlights genetic association of three new loci. Liu F et al. 2010 PLoS genetics
20546537 Genome-wide association studies of pigmentation and skin cancer: a review and meta-analysis. Gerstenblith MR et al. 2010 Pigment cell & melanoma research
20585627 Web-based, participant-driven studies yield novel genetic associations for common traits. Eriksson N et al. 2010 PLoS genetics
20806075 Spectrum of candidate gene mutations associated with Indian familial oculocutaneous and ocular albinism. Renugadevi K et al. 2010 Molecular vision
20850402 Genetic analysis of the SNPforID 34-plex ancestry informative SNP panel in Tunisian and Libyan populations. Khodjet-el-Khil H et al. 2011 Forensic science international. Genetics
20886636 Evaluating self-declared ancestry of U.S. Americans with autosomal, Y-chromosomal and mitochondrial DNA. Lao O et al. 2010 Human mutation
20949057 Identification of genetic and epigenetic marks involved in population structure. Liu J et al. 2010 PloS one
21197618 Model-based prediction of human hair color using DNA variants. Branicki W et al. 2011 Human genetics
21559390 A customized pigmentation SNP array identifies a novel SNP associated with melanoma predisposition in the SLC45A2 gene. Ibarrola-Villava M et al. 2011 PloS one
21589938 Targeted assembly of short sequence reads. Warren RL et al. 2011 PloS one
21674838 Genetic examination of the putative skull of Jan Kochanowski reveals its female sex. Kupiec T et al. 2011 Croatian medical journal
21926416 Genome-wide association study identifies novel loci predisposing to cutaneous melanoma. Amos CI et al. 2011 Human molecular genetics
21976407 Genetic variability in DNA repair and cell cycle control pathway genes and risk of smoking-related lung cancer. Buch SC et al. 2012 Molecular carcinogenesis
21983787 Genome-wide association study identifies three new melanoma susceptibility loci. Barrett JH et al. 2011 Nature genetics
22629401 Evaluation of genetic markers as instruments for Mendelian randomization studies on vitamin D. Berry DJ et al. 2012 PloS one
23071798 Functional assessment of human coding mutations affecting skin pigmentation using zebrafish. Tsetskhladze ZR et al. 2012 PloS one
23110848 Human pigmentation genes under environmental selection. Sturm RA et al. 2012 Genome biology
23118974 Genome-wide association studies of quantitatively measured skin, hair, and eye pigmentation in four European populations. Candille SI et al. 2012 PloS one
23771755 Improved eye- and skin-color prediction based on 8 SNPs. Hart KL et al. 2013 Croatian medical journal
23948321 Genetic analyses of the human eye colours using a novel objective method for eye colour classification. Andersen JD et al. 2013 Forensic science international. Genetics
24270849 Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data. Denny JC et al. 2013 Nature biotechnology
24596592 Ethnic characterization of a population of children exposed to high doses of arsenic via drinking water and a possible correlation with metabolic processes. Bobillo C et al. 2014 International journal of molecular epidemiology and genetics
24631691 The effect of gender on eye colour variation in European populations and an evaluation of the IrisPlex prediction model. Pietroni C et al. 2014 Forensic science international. Genetics
24809478 Implications of the admixture process in skin color molecular assessment. Cerqueira CC et al. 2014 PloS one
24880832 Collaborative EDNAP exercise on the IrisPlex system for DNA-based prediction of human eye colour. Chaitanya L et al. 2014 Forensic science international. Genetics
24926819 Increased risk of developing cutaneous malignant melanoma is associated with variation in pigmentation genes and VDR, and may involve epistatic effects. Kosiniak-Kamysz A et al. 2014 Melanoma research
25077817 Fine mapping of genetic susceptibility loci for melanoma reveals a mixture of single variant and multiple variant regions. Barrett JH et al. 2015 International journal of cancer
25093503 The interplay between natural selection and susceptibility to melanoma on allele 374F of SLC45A2 gene in a South European population. López S et al. 2014 PloS one
25887915 Whole genome sequencing of an ethnic Pathan (Pakhtun) from the north-west of Pakistan. Ilyas M et al. 2015 BMC genomics
26547235 Crowdsourced direct-to-consumer genomic analysis of a family quartet. Corpas M et al. 2015 BMC genomics
26595274 Genome-wide patterns of selection in 230 ancient Eurasians. Mathieson I et al. 2015 Nature
26690364 Genetic differences among ethnic groups. Huang T et al. 2015 BMC genomics
26848990 Biochip-Based Genotyping Assay for Detection of Polymorphisms in Pigmentation Genes Associated with Cutaneous Melanoma. Fesenko DO et al. 2016 Genetic testing and molecular biomarkers
26918427 Association of genetic variants with skin pigmentation phenotype among populations of west Maharashtra, India. Jonnalagadda M et al. 2016 American journal of human biology
26921301 Latitudinal Clines of the Human Vitamin D Receptor and Skin Color Genes. Tiosano D et al. 2016 G3 (Bethesda, Md.)
26924531 Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia. Galinsky KJ et al. 2016 American journal of human genetics
26938746 Pigmentary Markers in Danes--Associations with Quantitative Skin Colour, Nevi Count, Familial Atypical Multiple-Mole, and Melanoma Syndrome. Johansen P et al. 2016 PloS one
26988143 Human adaptation and population differentiation in the light of ancient genomes. Key FM et al. 2016 Nature communications
26998216 Sex-specific genetic effects associated with pigmentation, sensitivity to sunlight, and melanoma in a population of Spanish origin. Hernando B et al. 2016 Biology of sex differences
27135931 The genetic history of Ice Age Europe. Fu Q et al. 2016 Nature
27221533 Further evidence for population specific differences in the effect of DNA markers and gender on eye colour prediction in forensics. Pośpiech E et al. 2016 International journal of legal medicine
27274049 Early farmers from across Europe directly descended from Neolithic Aegeans. Hofmanová Z et al. 2016 Proceedings of the National Academy of Sciences of the United States of America
27424798 Genome-wide association study identifies novel susceptibility loci for cutaneous squamous cell carcinoma. Chahal HS et al. 2016 Nature communications
27435525 Quantitative assessment of skin, hair, and iris variation in a diverse sample of individuals and associated genetic variation. Norton HL et al. 2016 American journal of physical anthropology
27468418 Importance of nonsynonymous OCA2 variants in human eye color prediction. Andersen JD et al. 2016 Molecular genetics & genomic medicine
27502179 The genetics of an early Neolithic pastoralist from the Zagros, Iran. Gallego-Llorente M et al. 2016 Scientific reports
27716216 The Anatomy to Genomics (ATG) Start Genetics medical school initiative: incorporating exome sequencing data from cadavers used for Anatomy instruction into the first year curriculum. Gerhard GS et al. 2016 BMC medical genomics
27760139 Local Adaptation of Sun-Exposure-Dependent Gene Expression Regulation in Human Skin. Kita R et al. 2016 PLoS genetics
28242083 Association of five SNPs with human hair colour in the Polish population. Siewierska-Górska A et al. 2017 Homo
28300201 Identification of a novel locus associated with skin colour in African-admixed populations. Hernandez-Pacheco N et al. 2017 Scientific reports
28457509 Haplotypes from the SLC45A2 gene are associated with the presence of freckles and eye, hair and skin pigmentation in Brazil. Fracasso NCA et al. 2017 Legal medicine (Tokyo, Japan)
29518100 Associations between sun sensitive pigmentary genes and serum prostate specific antigen levels. Nair-Shalliker V et al. 2018 PloS one
29974532 Genetic variants associated with skin photosensitivity in a southern European population from Spain. Hernando B et al. 2018 Photodermatology, photoimmunology & photomedicine
31315583 Meta-analysis of GWA studies provides new insights on the genetic architecture of skin pigmentation in recently admixed populations. Lona-Durazo F et al. 2019 BMC genetics
32169032 Distribution of variants in multiple vitamin D-related loci (DHCR7/NADSYN1, GC, CYP2R1, CYP11A1, CYP24A1, VDR, RXRα and RXRγ) vary between European, East-Asian and Sub-Saharan African-ancestry populations. Jones P et al. 2020 Genes & nutrition
33167923 Skin pigmentation polymorphisms associated with increased risk of melanoma in a case-control sample from southern Brazil. Reis LB et al. 2020 BMC cancer
33692100 Genome-wide association study in almost 195,000 individuals identifies 50 previously unidentified genetic loci for eye color. Simcoe M et al. 2021 Science advances
34068188 Analysis of Skin Pigmentation and Genetic Ancestry in Three Subpopulations from Pakistan: Punjabi, Pashtun, and Baloch. Shan MA et al. 2021 Genes
34071952 Prediction of Eye Colour in Scandinavians Using the EyeColour 11 (EC11) SNP Set. Meyer OS et al. 2021 Genes
35176104 Unveiling forensically relevant biogeographic, phenotype and Y-chromosome SNP variation in Pakistani ethnic groups using a customized hybridisation enrichment forensic intelligence panel. Rauf S et al. 2022 PloS one
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.post761+d5e8e07