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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.

rs3211867

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr7:80657624 (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
A=0.149424 (39551/264690, TOPMED)
A=0.142358 (19919/139922, GnomAD)
A=0.26831 (7582/28258, 14KJPN) (+ 19 more)
A=0.12177 (2732/22436, ALFA)
A=0.26698 (4474/16758, 8.3KJPN)
A=0.2242 (1436/6404, 1000G_30x)
A=0.2288 (1146/5008, 1000G)
A=0.0998 (447/4480, Estonian)
A=0.0791 (305/3854, ALSPAC)
A=0.0771 (286/3708, TWINSUK)
A=0.2369 (694/2930, KOREAN)
A=0.2533 (464/1832, Korea1K)
A=0.048 (48/998, GoNL)
A=0.268 (211/786, PRJEB37584)
A=0.090 (54/600, NorthernSweden)
A=0.204 (66/324, HapMap)
A=0.083 (18/216, Qatari)
A=0.443 (94/212, Vietnamese)
C=0.418 (82/196, SGDP_PRJ)
A=0.10 (4/40, GENOME_DK)
C=0.50 (6/12, Siberian)
A=0.50 (6/12, Siberian)
Clinical Significance
Reported in ClinVar
Gene : Consequence
CD36 : Intron Variant
Publications
6 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 22436 C=0.87823 A=0.12177
European Sub 16366 C=0.92075 A=0.07925
African Sub 4070 C=0.7140 A=0.2860
African Others Sub 144 C=0.674 A=0.326
African American Sub 3926 C=0.7155 A=0.2845
Asian Sub 116 C=0.672 A=0.328
East Asian Sub 88 C=0.68 A=0.32
Other Asian Sub 28 C=0.64 A=0.36
Latin American 1 Sub 154 C=0.890 A=0.110
Latin American 2 Sub 616 C=0.912 A=0.088
South Asian Sub 98 C=0.79 A=0.21
Other Sub 1016 C=0.8612 A=0.1388


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=0.850576 A=0.149424
gnomAD - Genomes Global Study-wide 139922 C=0.857642 A=0.142358
gnomAD - Genomes European Sub 75838 C=0.92974 A=0.07026
gnomAD - Genomes African Sub 41872 C=0.72638 A=0.27362
gnomAD - Genomes American Sub 13634 C=0.88617 A=0.11383
gnomAD - Genomes Ashkenazi Jewish Sub 3320 C=0.9292 A=0.0708
gnomAD - Genomes East Asian Sub 3112 C=0.6623 A=0.3377
gnomAD - Genomes Other Sub 2146 C=0.8621 A=0.1379
14KJPN JAPANESE Study-wide 28258 C=0.73169 A=0.26831
Allele Frequency Aggregator Total Global 22436 C=0.87823 A=0.12177
Allele Frequency Aggregator European Sub 16366 C=0.92075 A=0.07925
Allele Frequency Aggregator African Sub 4070 C=0.7140 A=0.2860
Allele Frequency Aggregator Other Sub 1016 C=0.8612 A=0.1388
Allele Frequency Aggregator Latin American 2 Sub 616 C=0.912 A=0.088
Allele Frequency Aggregator Latin American 1 Sub 154 C=0.890 A=0.110
Allele Frequency Aggregator Asian Sub 116 C=0.672 A=0.328
Allele Frequency Aggregator South Asian Sub 98 C=0.79 A=0.21
8.3KJPN JAPANESE Study-wide 16758 C=0.73302 A=0.26698
1000Genomes_30x Global Study-wide 6404 C=0.7756 A=0.2242, G=0.0002
1000Genomes_30x African Sub 1786 C=0.6870 A=0.3124, G=0.0006
1000Genomes_30x Europe Sub 1266 C=0.9352 A=0.0648, G=0.0000
1000Genomes_30x South Asian Sub 1202 C=0.7379 A=0.2621, G=0.0000
1000Genomes_30x East Asian Sub 1170 C=0.6872 A=0.3128, G=0.0000
1000Genomes_30x American Sub 980 C=0.883 A=0.117, G=0.000
1000Genomes Global Study-wide 5008 C=0.7712 A=0.2288
1000Genomes African Sub 1322 C=0.6884 A=0.3116
1000Genomes East Asian Sub 1008 C=0.6865 A=0.3135
1000Genomes Europe Sub 1006 C=0.9344 A=0.0656
1000Genomes South Asian Sub 978 C=0.726 A=0.274
1000Genomes American Sub 694 C=0.879 A=0.121
Genetic variation in the Estonian population Estonian Study-wide 4480 C=0.9002 A=0.0998
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 C=0.9209 A=0.0791
UK 10K study - Twins TWIN COHORT Study-wide 3708 C=0.9229 A=0.0771
KOREAN population from KRGDB KOREAN Study-wide 2930 C=0.7631 A=0.2369
Korean Genome Project KOREAN Study-wide 1832 C=0.7467 A=0.2533
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 C=0.952 A=0.048
CNV burdens in cranial meningiomas Global Study-wide 786 C=0.732 A=0.268
CNV burdens in cranial meningiomas CRM Sub 786 C=0.732 A=0.268
Northern Sweden ACPOP Study-wide 600 C=0.910 A=0.090
HapMap Global Study-wide 324 C=0.796 A=0.204
HapMap American Sub 120 C=0.883 A=0.117
HapMap African Sub 114 C=0.719 A=0.281
HapMap Asian Sub 90 C=0.78 A=0.22
Qatari Global Study-wide 216 C=0.917 A=0.083
A Vietnamese Genetic Variation Database Global Study-wide 212 C=0.557 A=0.443
SGDP_PRJ Global Study-wide 196 C=0.418 A=0.582
The Danish reference pan genome Danish Study-wide 40 C=0.90 A=0.10
Siberian Global Study-wide 12 C=0.50 A=0.50
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 7 NC_000007.14:g.80657624C>A
GRCh38.p14 chr 7 NC_000007.14:g.80657624C>G
GRCh37.p13 chr 7 NC_000007.13:g.80286940C>A
GRCh37.p13 chr 7 NC_000007.13:g.80286940C>G
CD36 RefSeqGene NG_008192.1:g.60437C>A
CD36 RefSeqGene NG_008192.1:g.60437C>G
Gene: CD36, CD36 molecule (plus strand)
Molecule type Change Amino acid[Codon] SO Term
CD36 transcript variant 3 NM_000072.3:c.281+924C>A N/A Intron Variant
CD36 transcript variant 2 NM_001001547.3:c.281+924C…

NM_001001547.3:c.281+924C>A

N/A Intron Variant
CD36 transcript variant 1 NM_001001548.3:c.281+924C…

NM_001001548.3:c.281+924C>A

N/A Intron Variant
CD36 transcript variant 4 NM_001127443.2:c.281+924C…

NM_001127443.2:c.281+924C>A

N/A Intron Variant
CD36 transcript variant 5 NM_001127444.2:c.281+924C…

NM_001127444.2:c.281+924C>A

N/A Intron Variant
CD36 transcript variant 6 NM_001289908.1:c.281+924C…

NM_001289908.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant 7 NM_001289909.1:c.281+924C…

NM_001289909.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant 8 NM_001289911.2:c.53+924C>A N/A Intron Variant
CD36 transcript variant 10 NM_001371074.1:c.281+924C…

NM_001371074.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant 11 NM_001371075.1:c.281+924C…

NM_001371075.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant 12 NM_001371077.1:c.281+924C…

NM_001371077.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant 13 NM_001371078.1:c.281+924C…

NM_001371078.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant 14 NM_001371079.1:c.179+924C…

NM_001371079.1:c.179+924C>A

N/A Intron Variant
CD36 transcript variant 15 NM_001371080.1:c.-184-343…

NM_001371080.1:c.-184-3439C>A

N/A Intron Variant
CD36 transcript variant 16 NM_001371081.1:c.-202+924…

NM_001371081.1:c.-202+924C>A

N/A Intron Variant
CD36 transcript variant 9 NR_110501.1:n. N/A Intron Variant
CD36 transcript variant X1 XM_005250715.6:c.281+924C…

XM_005250715.6:c.281+924C>A

N/A Intron Variant
CD36 transcript variant X5 XM_024447002.2:c.281+924C…

XM_024447002.2:c.281+924C>A

N/A Intron Variant
CD36 transcript variant X7 XM_024447003.2:c.281+924C…

XM_024447003.2:c.281+924C>A

N/A Intron Variant
CD36 transcript variant X2 XM_047421041.1:c.281+924C…

XM_047421041.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant X3 XM_047421042.1:c.281+924C…

XM_047421042.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant X4 XM_047421043.1:c.281+924C…

XM_047421043.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant X6 XM_047421044.1:c.281+924C…

XM_047421044.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant X8 XM_047421045.1:c.281+924C…

XM_047421045.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant X9 XM_047421046.1:c.281+924C…

XM_047421046.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant X10 XM_047421047.1:c.281+924C…

XM_047421047.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant X11 XM_047421048.1:c.281+924C…

XM_047421048.1:c.281+924C>A

N/A Intron Variant
CD36 transcript variant X12 XM_047421049.1:c.281+924C…

XM_047421049.1:c.281+924C>A

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: A (allele ID: 1690346 )
ClinVar Accession Disease Names Clinical Significance
RCV002269249.1 Type 2 diabetes mellitus 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 7 NC_000007.14:g.80657624= NC_000007.14:g.80657624C>A NC_000007.14:g.80657624C>G
GRCh37.p13 chr 7 NC_000007.13:g.80286940= NC_000007.13:g.80286940C>A NC_000007.13:g.80286940C>G
CD36 RefSeqGene NG_008192.1:g.60437= NG_008192.1:g.60437C>A NG_008192.1:g.60437C>G
CD36 transcript variant 3 NM_000072.3:c.281+924= NM_000072.3:c.281+924C>A NM_000072.3:c.281+924C>G
CD36 transcript variant 2 NM_001001547.2:c.281+924= NM_001001547.2:c.281+924C>A NM_001001547.2:c.281+924C>G
CD36 transcript variant 2 NM_001001547.3:c.281+924= NM_001001547.3:c.281+924C>A NM_001001547.3:c.281+924C>G
CD36 transcript variant 1 NM_001001548.2:c.281+924= NM_001001548.2:c.281+924C>A NM_001001548.2:c.281+924C>G
CD36 transcript variant 1 NM_001001548.3:c.281+924= NM_001001548.3:c.281+924C>A NM_001001548.3:c.281+924C>G
CD36 transcript variant 4 NM_001127443.1:c.281+924= NM_001127443.1:c.281+924C>A NM_001127443.1:c.281+924C>G
CD36 transcript variant 4 NM_001127443.2:c.281+924= NM_001127443.2:c.281+924C>A NM_001127443.2:c.281+924C>G
CD36 transcript variant 5 NM_001127444.1:c.281+924= NM_001127444.1:c.281+924C>A NM_001127444.1:c.281+924C>G
CD36 transcript variant 5 NM_001127444.2:c.281+924= NM_001127444.2:c.281+924C>A NM_001127444.2:c.281+924C>G
CD36 transcript variant 6 NM_001289908.1:c.281+924= NM_001289908.1:c.281+924C>A NM_001289908.1:c.281+924C>G
CD36 transcript variant 7 NM_001289909.1:c.281+924= NM_001289909.1:c.281+924C>A NM_001289909.1:c.281+924C>G
CD36 transcript variant 8 NM_001289911.2:c.53+924= NM_001289911.2:c.53+924C>A NM_001289911.2:c.53+924C>G
CD36 transcript variant 10 NM_001371074.1:c.281+924= NM_001371074.1:c.281+924C>A NM_001371074.1:c.281+924C>G
CD36 transcript variant 11 NM_001371075.1:c.281+924= NM_001371075.1:c.281+924C>A NM_001371075.1:c.281+924C>G
CD36 transcript variant 12 NM_001371077.1:c.281+924= NM_001371077.1:c.281+924C>A NM_001371077.1:c.281+924C>G
CD36 transcript variant 13 NM_001371078.1:c.281+924= NM_001371078.1:c.281+924C>A NM_001371078.1:c.281+924C>G
CD36 transcript variant 14 NM_001371079.1:c.179+924= NM_001371079.1:c.179+924C>A NM_001371079.1:c.179+924C>G
CD36 transcript variant 15 NM_001371080.1:c.-184-3439= NM_001371080.1:c.-184-3439C>A NM_001371080.1:c.-184-3439C>G
CD36 transcript variant 16 NM_001371081.1:c.-202+924= NM_001371081.1:c.-202+924C>A NM_001371081.1:c.-202+924C>G
CD36 transcript variant X3 XM_005250713.1:c.281+924= XM_005250713.1:c.281+924C>A XM_005250713.1:c.281+924C>G
CD36 transcript variant X4 XM_005250714.1:c.281+924= XM_005250714.1:c.281+924C>A XM_005250714.1:c.281+924C>G
CD36 transcript variant X3 XM_005250715.1:c.281+924= XM_005250715.1:c.281+924C>A XM_005250715.1:c.281+924C>G
CD36 transcript variant X1 XM_005250715.6:c.281+924= XM_005250715.6:c.281+924C>A XM_005250715.6:c.281+924C>G
CD36 transcript variant X4 XM_005250716.1:c.281+924= XM_005250716.1:c.281+924C>A XM_005250716.1:c.281+924C>G
CD36 transcript variant X5 XM_024447002.2:c.281+924= XM_024447002.2:c.281+924C>A XM_024447002.2:c.281+924C>G
CD36 transcript variant X7 XM_024447003.2:c.281+924= XM_024447003.2:c.281+924C>A XM_024447003.2:c.281+924C>G
CD36 transcript variant X2 XM_047421041.1:c.281+924= XM_047421041.1:c.281+924C>A XM_047421041.1:c.281+924C>G
CD36 transcript variant X3 XM_047421042.1:c.281+924= XM_047421042.1:c.281+924C>A XM_047421042.1:c.281+924C>G
CD36 transcript variant X4 XM_047421043.1:c.281+924= XM_047421043.1:c.281+924C>A XM_047421043.1:c.281+924C>G
CD36 transcript variant X6 XM_047421044.1:c.281+924= XM_047421044.1:c.281+924C>A XM_047421044.1:c.281+924C>G
CD36 transcript variant X8 XM_047421045.1:c.281+924= XM_047421045.1:c.281+924C>A XM_047421045.1:c.281+924C>G
CD36 transcript variant X9 XM_047421046.1:c.281+924= XM_047421046.1:c.281+924C>A XM_047421046.1:c.281+924C>G
CD36 transcript variant X10 XM_047421047.1:c.281+924= XM_047421047.1:c.281+924C>A XM_047421047.1:c.281+924C>G
CD36 transcript variant X11 XM_047421048.1:c.281+924= XM_047421048.1:c.281+924C>A XM_047421048.1:c.281+924C>G
CD36 transcript variant X12 XM_047421049.1:c.281+924= XM_047421049.1:c.281+924C>A XM_047421049.1:c.281+924C>G
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#.

61 SubSNP, 21 Frequency, 1 ClinVar submissions
No Submitter Submission ID Date (Build)
1 PGA-UW-FHCRC ss4442712 May 29, 2002 (105)
2 FHCRC ss16360218 Feb 28, 2004 (121)
3 CSHL-HAPMAP ss17949358 Feb 27, 2004 (120)
4 ABI ss43090227 Mar 15, 2006 (126)
5 HGSV ss84557076 Dec 15, 2007 (130)
6 COMPLETE_GENOMICS ss162472807 Jul 04, 2010 (132)
7 ILLUMINA ss173574699 Jul 04, 2010 (132)
8 BUSHMAN ss203547409 Jul 04, 2010 (132)
9 1000GENOMES ss223160735 Jul 14, 2010 (132)
10 1000GENOMES ss234045583 Jul 15, 2010 (132)
11 1000GENOMES ss240986477 Jul 15, 2010 (132)
12 ILLUMINA ss244294137 Jul 04, 2010 (132)
13 BL ss254464404 May 09, 2011 (134)
14 GMI ss279406609 May 04, 2012 (137)
15 ILLUMINA ss537168026 Sep 08, 2015 (146)
16 TISHKOFF ss560104719 Apr 25, 2013 (138)
17 SSMP ss654500457 Apr 25, 2013 (138)
18 EVA-GONL ss984456265 Aug 21, 2014 (142)
19 JMKIDD_LAB ss1074732060 Aug 21, 2014 (142)
20 1000GENOMES ss1325823450 Aug 21, 2014 (142)
21 EVA_GENOME_DK ss1582273666 Apr 01, 2015 (144)
22 EVA_DECODE ss1594029683 Apr 01, 2015 (144)
23 EVA_UK10K_ALSPAC ss1618532143 Apr 01, 2015 (144)
24 EVA_UK10K_TWINSUK ss1661526176 Apr 01, 2015 (144)
25 HAMMER_LAB ss1805077601 Sep 08, 2015 (146)
26 WEILL_CORNELL_DGM ss1927717697 Feb 12, 2016 (147)
27 GENOMED ss1970740553 Jul 19, 2016 (147)
28 JJLAB ss2024541281 Sep 14, 2016 (149)
29 USC_VALOUEV ss2152761349 Dec 20, 2016 (150)
30 HUMAN_LONGEVITY ss2295127850 Dec 20, 2016 (150)
31 SYSTEMSBIOZJU ss2626761852 Nov 08, 2017 (151)
32 GRF ss2708463180 Nov 08, 2017 (151)
33 GNOMAD ss2855264749 Nov 08, 2017 (151)
34 SWEGEN ss3001499852 Nov 08, 2017 (151)
35 CSHL ss3347695188 Nov 08, 2017 (151)
36 ILLUMINA ss3629846950 Oct 12, 2018 (152)
37 ILLUMINA ss3638705731 Oct 12, 2018 (152)
38 EGCUT_WGS ss3669250367 Jul 13, 2019 (153)
39 EVA_DECODE ss3720054306 Jul 13, 2019 (153)
40 ACPOP ss3734792294 Jul 13, 2019 (153)
41 EVA ss3766771649 Jul 13, 2019 (153)
42 KHV_HUMAN_GENOMES ss3809940817 Jul 13, 2019 (153)
43 EVA ss3830661919 Apr 26, 2020 (154)
44 SGDP_PRJ ss3867712063 Apr 26, 2020 (154)
45 KRGDB ss3914967699 Apr 26, 2020 (154)
46 KOGIC ss3961941449 Apr 26, 2020 (154)
47 EVA ss3984590528 Apr 26, 2021 (155)
48 EVA ss4017343161 Apr 26, 2021 (155)
49 TOPMED ss4751931020 Apr 26, 2021 (155)
50 TOMMO_GENOMICS ss5184071135 Apr 26, 2021 (155)
51 1000G_HIGH_COVERAGE ss5273579376 Oct 13, 2022 (156)
52 HUGCELL_USP ss5470593346 Oct 13, 2022 (156)
53 EVA ss5509018387 Oct 13, 2022 (156)
54 1000G_HIGH_COVERAGE ss5562109470 Oct 13, 2022 (156)
55 SANFORD_IMAGENETICS ss5643329498 Oct 13, 2022 (156)
56 TOMMO_GENOMICS ss5724608149 Oct 13, 2022 (156)
57 YY_MCH ss5808814266 Oct 13, 2022 (156)
58 EVA ss5823083418 Oct 13, 2022 (156)
59 EVA ss5855970732 Oct 13, 2022 (156)
60 EVA ss5859572931 Oct 13, 2022 (156)
61 EVA ss5972504693 Oct 13, 2022 (156)
62 1000Genomes NC_000007.13 - 80286940 Oct 12, 2018 (152)
63 1000Genomes_30x NC_000007.14 - 80657624 Oct 13, 2022 (156)
64 The Avon Longitudinal Study of Parents and Children NC_000007.13 - 80286940 Oct 12, 2018 (152)
65 Genetic variation in the Estonian population NC_000007.13 - 80286940 Oct 12, 2018 (152)
66 The Danish reference pan genome NC_000007.13 - 80286940 Apr 26, 2020 (154)
67 gnomAD - Genomes NC_000007.14 - 80657624 Apr 26, 2021 (155)
68 Genome of the Netherlands Release 5 NC_000007.13 - 80286940 Apr 26, 2020 (154)
69 HapMap NC_000007.14 - 80657624 Apr 26, 2020 (154)
70 KOREAN population from KRGDB NC_000007.13 - 80286940 Apr 26, 2020 (154)
71 Korean Genome Project NC_000007.14 - 80657624 Apr 26, 2020 (154)
72 Northern Sweden NC_000007.13 - 80286940 Jul 13, 2019 (153)
73 CNV burdens in cranial meningiomas NC_000007.13 - 80286940 Apr 26, 2021 (155)
74 Qatari NC_000007.13 - 80286940 Apr 26, 2020 (154)
75 SGDP_PRJ NC_000007.13 - 80286940 Apr 26, 2020 (154)
76 Siberian NC_000007.13 - 80286940 Apr 26, 2020 (154)
77 8.3KJPN NC_000007.13 - 80286940 Apr 26, 2021 (155)
78 14KJPN NC_000007.14 - 80657624 Oct 13, 2022 (156)
79 TopMed NC_000007.14 - 80657624 Apr 26, 2021 (155)
80 UK 10K study - Twins NC_000007.13 - 80286940 Oct 12, 2018 (152)
81 A Vietnamese Genetic Variation Database NC_000007.13 - 80286940 Jul 13, 2019 (153)
82 ALFA NC_000007.14 - 80657624 Apr 26, 2021 (155)
83 ClinVar RCV002269249.1 Oct 13, 2022 (156)
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)
rs11574704 Apr 05, 2004 (121)
rs58885205 May 25, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss84557076 NC_000007.11:79931590:C:A NC_000007.14:80657623:C:A (self)
ss162472807, ss203547409, ss254464404, ss279406609, ss1594029683 NC_000007.12:80124875:C:A NC_000007.14:80657623:C:A (self)
37817879, 21046336, 14988615, 8438605, 9396973, 22145093, 8077159, 139953, 9759627, 19729043, 5277703, 42040442, 21046336, 4691373, ss223160735, ss234045583, ss240986477, ss537168026, ss560104719, ss654500457, ss984456265, ss1074732060, ss1325823450, ss1582273666, ss1618532143, ss1661526176, ss1805077601, ss1927717697, ss1970740553, ss2024541281, ss2152761349, ss2626761852, ss2708463180, ss2855264749, ss3001499852, ss3347695188, ss3629846950, ss3638705731, ss3669250367, ss3734792294, ss3766771649, ss3830661919, ss3867712063, ss3914967699, ss3984590528, ss4017343161, ss5184071135, ss5509018387, ss5643329498, ss5823083418, ss5972504693 NC_000007.13:80286939:C:A NC_000007.14:80657623:C:A (self)
RCV002269249.1, 49635405, 266783864, 3428034, 18319450, 58445253, 589308579, 10834221456, ss2295127850, ss3720054306, ss3809940817, ss3961941449, ss4751931020, ss5273579376, ss5470593346, ss5562109470, ss5724608149, ss5808814266, ss5855970732, ss5859572931 NC_000007.14:80657623:C:A NC_000007.14:80657623:C:A (self)
ss17949358 NT_007933.13:5521177:C:A NC_000007.14:80657623:C:A (self)
ss4442712, ss16360218, ss43090227, ss173574699, ss244294137 NT_007933.15:18319782:C:A NC_000007.14:80657623:C:A (self)
49635405, ss5562109470 NC_000007.14:80657623:C:G NC_000007.14:80657623:C:G
Help

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

6 citations for rs3211867
PMID Title Author Year Journal
19893500 Single-nucleotide polymorphism of CD36 locus and obesity in European adolescents. Bokor S et al. 2010 Obesity (Silver Spring, Md.)
20966904 Lack of association of CD36 SNPs with early onset obesity: a meta-analysis in 9,973 European subjects. Choquet H et al. 2011 Obesity (Silver Spring, Md.)
21478428 Platelet CD36 surface expression levels affect functional responses to oxidized LDL and are associated with inheritance of specific genetic polymorphisms. Ghosh A et al. 2011 Blood
21912245 CD36 genetics and the metabolic complications of obesity. Love-Gregory L et al. 2011 Current opinion in clinical nutrition and metabolic care
27127449 Genetic Variation of Fatty Acid Oxidation and Obesity, A Literature Review. Freitag Luglio H et al. 2016 International journal of biomedical science
36031603 Impact of the interaction between the polymorphisms and hypermethylation of the CD36 gene on a new biomarker of type 2 diabetes mellitus: circulating soluble CD36 (sCD36) in Senegalese females. Touré M et al. 2022 BMC medical genomics
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