Name: rs3212018
Published: September 21, 2022
License: Open Access

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.

rs3212018

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr7:80674385-80674400 (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: delGCACAAATAAAGCACT
Variation Type: Deletion
Frequency: delGCACAAATAAAGCACT=0.105580 (27946/264690, TOPMED)
delGCACAAATAAAGCACT=0.114326 (16007/140012, GnomAD)
delGCACAAATAAAGCACT=0.05375 (1519/28258, 14KJPN) (+ 9 more)
delGCACAAATAAAGCACT=0.13790 (3028/21958, ALFA)
delGCACAAATAAAGCACT=0.05472 (917/16758, 8.3KJPN)
delGCACAAATAAAGCACT=0.0906 (580/6404, 1000G_30x)
delGCACAAATAAAGCACT=0.2042 (915/4480, Estonian)
delGCACAAATAAAGCACT=0.1316 (507/3854, ALSPAC)
delGCACAAATAAAGCACT=0.1386 (514/3708, TWINSUK)
delGCACAAATAAAGCACT=0.0868 (159/1832, Korea1K)
delGCACAAATAAAGCACT=0.138 (83/600, NorthernSweden)
delGCACAAATAAAGCACT=0.071 (15/212, Vietnamese)

Clinical Significance: Reported in ClinVar
Gene : Consequence: CD36 : Non Coding Transcript Variant
Publications: 8 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	21958	GCACAAATAAAGCACT=0.86210	=0.13790	0.743237	0.019036	0.237727	0
European	Sub	17590	GCACAAATAAAGCACT=0.84571	=0.15429	0.713701	0.022285	0.264014	1
African	Sub	2898	GCACAAATAAAGCACT=0.9493	=0.0507	0.900621	0.00207	0.097308	0
African Others	Sub	114	GCACAAATAAAGCACT=0.947	=0.053	0.894737	0.0	0.105263	0
African American	Sub	2784	GCACAAATAAAGCACT=0.9494	=0.0506	0.900862	0.002155	0.096983	0
Asian	Sub	112	GCACAAATAAAGCACT=0.902	=0.098	0.803571	0.0	0.196429	0
East Asian	Sub	86	GCACAAATAAAGCACT=0.87	=0.13	0.744186	0.0	0.255814	1
Other Asian	Sub	26	GCACAAATAAAGCACT=1.00	=0.00	1.0	0.0	0.0	N/A
Latin American 1	Sub	146	GCACAAATAAAGCACT=0.884	=0.116	0.780822	0.013699	0.205479	0
Latin American 2	Sub	610	GCACAAATAAAGCACT=0.897	=0.103	0.803279	0.009836	0.186885	0
South Asian	Sub	98	GCACAAATAAAGCACT=0.84	=0.16	0.714286	0.040816	0.244898	0
Other	Sub	504	GCACAAATAAAGCACT=0.881	=0.119	0.777778	0.015873	0.206349	0

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	GCACAAATAAAGCACT=0.894420	delGCACAAATAAAGCACT=0.105580
gnomAD - Genomes	Global	Study-wide	140012	GCACAAATAAAGCACT=0.885674	delGCACAAATAAAGCACT=0.114326
gnomAD - Genomes	European	Sub	75802	GCACAAATAAAGCACT=0.85180	delGCACAAATAAAGCACT=0.14820
gnomAD - Genomes	African	Sub	41994	GCACAAATAAAGCACT=0.94516	delGCACAAATAAAGCACT=0.05484
gnomAD - Genomes	American	Sub	13620	GCACAAATAAAGCACT=0.89310	delGCACAAATAAAGCACT=0.10690
gnomAD - Genomes	Ashkenazi Jewish	Sub	3322	GCACAAATAAAGCACT=0.8423	delGCACAAATAAAGCACT=0.1577
gnomAD - Genomes	East Asian	Sub	3124	GCACAAATAAAGCACT=0.9200	delGCACAAATAAAGCACT=0.0800
gnomAD - Genomes	Other	Sub	2150	GCACAAATAAAGCACT=0.8884	delGCACAAATAAAGCACT=0.1116
14KJPN	JAPANESE	Study-wide	28258	GCACAAATAAAGCACT=0.94625	delGCACAAATAAAGCACT=0.05375
Allele Frequency Aggregator	Total	Global	21958	GCACAAATAAAGCACT=0.86210	delGCACAAATAAAGCACT=0.13790
Allele Frequency Aggregator	European	Sub	17590	GCACAAATAAAGCACT=0.84571	delGCACAAATAAAGCACT=0.15429
Allele Frequency Aggregator	African	Sub	2898	GCACAAATAAAGCACT=0.9493	delGCACAAATAAAGCACT=0.0507
Allele Frequency Aggregator	Latin American 2	Sub	610	GCACAAATAAAGCACT=0.897	delGCACAAATAAAGCACT=0.103
Allele Frequency Aggregator	Other	Sub	504	GCACAAATAAAGCACT=0.881	delGCACAAATAAAGCACT=0.119
Allele Frequency Aggregator	Latin American 1	Sub	146	GCACAAATAAAGCACT=0.884	delGCACAAATAAAGCACT=0.116
Allele Frequency Aggregator	Asian	Sub	112	GCACAAATAAAGCACT=0.902	delGCACAAATAAAGCACT=0.098
Allele Frequency Aggregator	South Asian	Sub	98	GCACAAATAAAGCACT=0.84	delGCACAAATAAAGCACT=0.16
8.3KJPN	JAPANESE	Study-wide	16758	GCACAAATAAAGCACT=0.94528	delGCACAAATAAAGCACT=0.05472
1000Genomes_30x	Global	Study-wide	6404	GCACAAATAAAGCACT=0.9094	delGCACAAATAAAGCACT=0.0906
1000Genomes_30x	African	Sub	1786	GCACAAATAAAGCACT=0.9614	delGCACAAATAAAGCACT=0.0386
1000Genomes_30x	Europe	Sub	1266	GCACAAATAAAGCACT=0.8594	delGCACAAATAAAGCACT=0.1406
1000Genomes_30x	South Asian	Sub	1202	GCACAAATAAAGCACT=0.8710	delGCACAAATAAAGCACT=0.1290
1000Genomes_30x	East Asian	Sub	1170	GCACAAATAAAGCACT=0.9359	delGCACAAATAAAGCACT=0.0641
1000Genomes_30x	American	Sub	980	GCACAAATAAAGCACT=0.895	delGCACAAATAAAGCACT=0.105
Genetic variation in the Estonian population	Estonian	Study-wide	4480	GCACAAATAAAGCACT=0.7958	delGCACAAATAAAGCACT=0.2042
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	GCACAAATAAAGCACT=0.8684	delGCACAAATAAAGCACT=0.1316
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	GCACAAATAAAGCACT=0.8614	delGCACAAATAAAGCACT=0.1386
Korean Genome Project	KOREAN	Study-wide	1832	GCACAAATAAAGCACT=0.9132	delGCACAAATAAAGCACT=0.0868
Northern Sweden	ACPOP	Study-wide	600	GCACAAATAAAGCACT=0.862	delGCACAAATAAAGCACT=0.138
A Vietnamese Genetic Variation Database	Global	Study-wide	212	GCACAAATAAAGCACT=0.929	delGCACAAATAAAGCACT=0.071

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.80674385_80674400del
GRCh37.p13 chr 7	NC_000007.13:g.80303701_80303716del
CD36 RefSeqGene	NG_008192.1:g.77198_77213del

Gene: CD36, CD36 molecule (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
CD36 transcript variant 1	NM_001001548.3:c.1419+23… NM_001001548.3:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant 11	NM_001371075.1:c.1419+23… NM_001371075.1:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant 12	NM_001371077.1:c.1419+23… NM_001371077.1:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant 3	NM_000072.3:c.238_253=	N/A	3 Prime UTR Variant
CD36 transcript variant 6	NM_001289908.1:c.238_25… NM_001289908.1:c.238_253=	N/A	3 Prime UTR Variant
CD36 transcript variant 7	NM_001289909.1:c.238_25… NM_001289909.1:c.238_253=	N/A	3 Prime UTR Variant
CD36 transcript variant 2	NM_001001547.3:c.238_25… NM_001001547.3:c.238_253=	N/A	3 Prime UTR Variant
CD36 transcript variant 8	NM_001289911.2:c.238_25… NM_001289911.2:c.238_253=	N/A	3 Prime UTR Variant
CD36 transcript variant 5	NM_001127444.2:c.238_25… NM_001127444.2:c.238_253=	N/A	3 Prime UTR Variant
CD36 transcript variant 10	NM_001371074.1:c.238_25… NM_001371074.1:c.238_253=	N/A	3 Prime UTR Variant
CD36 transcript variant 14	NM_001371079.1:c.238_25… NM_001371079.1:c.238_253=	N/A	3 Prime UTR Variant
CD36 transcript variant 13	NM_001371078.1:c.238_25… NM_001371078.1:c.238_253=	N/A	3 Prime UTR Variant
CD36 transcript variant 16	NM_001371081.1:c.238_25… NM_001371081.1:c.238_253=	N/A	3 Prime UTR Variant
CD36 transcript variant 15	NM_001371080.1:c.238_25… NM_001371080.1:c.238_253=	N/A	3 Prime UTR Variant
CD36 transcript variant 4	NM_001127443.2:c.238_25… NM_001127443.2:c.238_253=	N/A	3 Prime UTR Variant
CD36 transcript variant 9	NR_110501.1:n.1648_1663del	N/A	Non Coding Transcript Variant
CD36 transcript variant X1	XM_005250715.6:c.1419+23… XM_005250715.6:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant X5	XM_024447002.2:c.1419+23… XM_024447002.2:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant X7	XM_024447003.2:c.1419+23… XM_024447003.2:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant X2	XM_047421041.1:c.1419+23… XM_047421041.1:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant X3	XM_047421042.1:c.1419+23… XM_047421042.1:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant X4	XM_047421043.1:c.1419+23… XM_047421043.1:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant X6	XM_047421044.1:c.1419+23… XM_047421044.1:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant X8	XM_047421045.1:c.1419+23… XM_047421045.1:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant X9	XM_047421046.1:c.1419+23… XM_047421046.1:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant X10	XM_047421047.1:c.1419+23… XM_047421047.1:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant X11	XM_047421048.1:c.1419+23… XM_047421048.1:c.1419+238_*1419+253del	N/A	Intron Variant
CD36 transcript variant X12	XM_047421049.1:c.1419+23… XM_047421049.1:c.1419+238_*1419+253del	N/A	Intron Variant

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: delGCACAAATAAAGCACT (allele ID: 1268079 )

ClinVar Accession	Disease Names	Clinical Significance
RCV001694942.1	not provided	Benign

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	GCACAAATAAAGCACT=	delGCACAAATAAAGCACT
GRCh38.p14 chr 7	NC_000007.14:g.80674385_80674400=	NC_000007.14:g.80674385_80674400del
GRCh37.p13 chr 7	NC_000007.13:g.80303701_80303716=	NC_000007.13:g.80303701_80303716del
CD36 RefSeqGene	NG_008192.1:g.77198_77213=	NG_008192.1:g.77198_77213del
CD36 transcript variant 3	NM_000072.3:c.238_253=	NM_000072.3:c.238_253del
CD36 transcript variant 2	NM_001001547.3:c.238_253=	NM_001001547.3:c.238_253del
CD36 transcript variant 2	NM_001001547.2:c.238_253=	NM_001001547.2:c.238_253del
CD36 transcript variant 5	NM_001127444.2:c.238_253=	NM_001127444.2:c.238_253del
CD36 transcript variant 5	NM_001127444.1:c.238_253=	NM_001127444.1:c.238_253del
CD36 transcript variant 4	NM_001127443.2:c.238_253=	NM_001127443.2:c.238_253del
CD36 transcript variant 4	NM_001127443.1:c.238_253=	NM_001127443.1:c.238_253del
CD36 transcript variant 8	NM_001289911.2:c.238_253=	NM_001289911.2:c.238_253del
CD36 transcript variant 8	NM_001289911.1:c.238_253=	NM_001289911.1:c.238_253del
CD36 transcript variant 16	NM_001371081.1:c.238_253=	NM_001371081.1:c.238_253del
CD36 transcript variant 10	NM_001371074.1:c.238_253=	NM_001371074.1:c.238_253del
CD36 transcript variant 13	NM_001371078.1:c.238_253=	NM_001371078.1:c.238_253del
CD36 transcript variant 14	NM_001371079.1:c.238_253=	NM_001371079.1:c.238_253del
CD36 transcript variant 7	NM_001289909.1:c.238_253=	NM_001289909.1:c.238_253del
CD36 transcript variant 9	NR_110501.1:n.1648_1663=	NR_110501.1:n.1648_1663del
CD36 transcript variant 6	NM_001289908.1:c.238_253=	NM_001289908.1:c.238_253del
CD36 transcript variant 15	NM_001371080.1:c.238_253=	NM_001371080.1:c.238_253del
CD36 transcript variant 1	NM_001001548.2:c.*1419+238=	NM_001001548.2:c.1419+238_1419+253del
CD36 transcript variant 1	NM_001001548.3:c.*1419+238=	NM_001001548.3:c.1419+238_1419+253del
CD36 transcript variant 11	NM_001371075.1:c.*1419+238=	NM_001371075.1:c.1419+238_1419+253del
CD36 transcript variant 12	NM_001371077.1:c.*1419+238=	NM_001371077.1:c.1419+238_1419+253del
CD36 transcript variant X3	XM_005250713.1:c.*1419+238=	XM_005250713.1:c.1419+238_1419+253del
CD36 transcript variant X4	XM_005250714.1:c.*1419+238=	XM_005250714.1:c.1419+238_1419+253del
CD36 transcript variant X3	XM_005250715.1:c.*1419+238=	XM_005250715.1:c.1419+238_1419+253del
CD36 transcript variant X1	XM_005250715.6:c.*1419+238=	XM_005250715.6:c.1419+238_1419+253del
CD36 transcript variant X4	XM_005250716.1:c.*1419+238=	XM_005250716.1:c.1419+238_1419+253del
CD36 transcript variant X5	XM_024447002.2:c.*1419+238=	XM_024447002.2:c.1419+238_1419+253del
CD36 transcript variant X7	XM_024447003.2:c.*1419+238=	XM_024447003.2:c.1419+238_1419+253del
CD36 transcript variant X2	XM_047421041.1:c.*1419+238=	XM_047421041.1:c.1419+238_1419+253del
CD36 transcript variant X3	XM_047421042.1:c.*1419+238=	XM_047421042.1:c.1419+238_1419+253del
CD36 transcript variant X4	XM_047421043.1:c.*1419+238=	XM_047421043.1:c.1419+238_1419+253del
CD36 transcript variant X6	XM_047421044.1:c.*1419+238=	XM_047421044.1:c.1419+238_1419+253del
CD36 transcript variant X8	XM_047421045.1:c.*1419+238=	XM_047421045.1:c.1419+238_1419+253del
CD36 transcript variant X9	XM_047421046.1:c.*1419+238=	XM_047421046.1:c.1419+238_1419+253del
CD36 transcript variant X10	XM_047421047.1:c.*1419+238=	XM_047421047.1:c.1419+238_1419+253del
CD36 transcript variant X11	XM_047421048.1:c.*1419+238=	XM_047421048.1:c.1419+238_1419+253del
CD36 transcript variant X12	XM_047421049.1:c.*1419+238=	XM_047421049.1:c.1419+238_1419+253del

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#.

55 SubSNP, 14 Frequency, 1 ClinVar submissions

No	Submitter	Submission ID	Date (Build)
1	PGA-UW-FHCRC	ss4472389	May 29, 2002 (105)
2	YUSUKE	ss5027070	Aug 28, 2002 (113)
3	SHGC	ss66537301	Nov 29, 2006 (127)
4	CGM_KYOTO	ss76868032	Dec 07, 2007 (129)
5	CNG	ss95210449	Mar 25, 2008 (129)
6	SHGC	ss95216877	Feb 04, 2009 (130)
7	ILLUMINA	ss107695000	Feb 04, 2009 (130)
8	ILLUMINA	ss160616160	Dec 01, 2009 (138)
9	ILLUMINA	ss173574783	Jul 04, 2010 (132)
10	GMI	ss288853100	May 04, 2012 (137)
11	1000GENOMES	ss326954339	May 09, 2011 (135)
12	1000GENOMES	ss327008648	May 09, 2011 (135)
13	ILLUMINA	ss481679152	Sep 08, 2015 (146)
14	ILLUMINA	ss537168066	Sep 08, 2015 (146)
15	LUNTER	ss551752607	Apr 25, 2013 (138)
16	LUNTER	ss551957067	Apr 25, 2013 (138)
17	LUNTER	ss553304721	Apr 25, 2013 (138)
18	TISHKOFF	ss554341165	Apr 25, 2013 (138)
19	EVA_GENOME_DK	ss1577028606	Apr 01, 2015 (144)
20	EVA_GENOME_DK	ss1578673234	Apr 01, 2015 (144)
21	EVA_DECODE	ss1594029829	Apr 01, 2015 (144)
22	EVA_UK10K_ALSPAC	ss1705699369	Apr 01, 2015 (144)
23	EVA_UK10K_TWINSUK	ss1705699406	Apr 01, 2015 (144)
24	HAMMER_LAB	ss1805077651	Sep 08, 2015 (146)
25	JJLAB	ss2030851308	Sep 14, 2016 (149)
26	SYSTEMSBIOZJU	ss2626761886	Nov 08, 2017 (151)
27	SWEGEN	ss3001500056	Nov 08, 2017 (151)
28	MCHAISSO	ss3065144495	Nov 08, 2017 (151)
29	MCHAISSO	ss3066153411	Nov 08, 2017 (151)
30	ILLUMINA	ss3629847036	Oct 12, 2018 (152)
31	ILLUMINA	ss3636860336	Oct 12, 2018 (152)
32	ILLUMINA	ss3638705777	Oct 12, 2018 (152)
33	ILLUMINA	ss3643641055	Oct 12, 2018 (152)
34	URBANLAB	ss3648683031	Oct 12, 2018 (152)
35	EGCUT_WGS	ss3669250600	Jul 13, 2019 (153)
36	EVA_DECODE	ss3720054563	Jul 13, 2019 (153)
37	ACPOP	ss3734792382	Jul 13, 2019 (153)
38	KHV_HUMAN_GENOMES	ss3809940999	Jul 13, 2019 (153)
39	EVA	ss3830661973	Apr 26, 2020 (154)
40	KOGIC	ss3961941716	Apr 26, 2020 (154)
41	EVA	ss3986040224	Apr 26, 2021 (155)
42	GNOMAD	ss4167052351	Apr 26, 2021 (155)
43	TOPMED	ss4751936076	Apr 26, 2021 (155)
44	TOMMO_GENOMICS	ss5184071785	Apr 26, 2021 (155)
45	1000G_HIGH_COVERAGE	ss5273579889	Oct 13, 2022 (156)
46	HUGCELL_USP	ss5470593855	Oct 13, 2022 (156)
47	1000G_HIGH_COVERAGE	ss5562110233	Oct 13, 2022 (156)
48	SANFORD_IMAGENETICS	ss5643329821	Oct 13, 2022 (156)
49	TOMMO_GENOMICS	ss5724608977	Oct 13, 2022 (156)
50	YY_MCH	ss5808814394	Oct 13, 2022 (156)
51	EVA	ss5823083596	Oct 13, 2022 (156)
52	EVA	ss5855970794	Oct 13, 2022 (156)
53	EVA	ss5859573556	Oct 13, 2022 (156)
54	EVA	ss5972505005	Oct 13, 2022 (156)
55	EVA	ss5980445902	Oct 13, 2022 (156)
56	1000Genomes_30x	NC_000007.14 - 80674385	Oct 13, 2022 (156)
57	The Avon Longitudinal Study of Parents and Children	NC_000007.13 - 80303701	Oct 12, 2018 (152)
58	Genetic variation in the Estonian population	NC_000007.13 - 80303701	Oct 12, 2018 (152)
59	The Danish reference pan genome Submission ignored due to conflicting rows: Row 101378 (NC_000007.13:80303700:GCACAAATAAAGCACT: 8/40) Row 1162950 (NC_000007.13:80303700:GCACAAATAAAGCACT: 9/40)	-	Apr 26, 2020 (154)
60	The Danish reference pan genome Submission ignored due to conflicting rows: Row 101378 (NC_000007.13:80303700:GCACAAATAAAGCACT: 8/40) Row 1162950 (NC_000007.13:80303700:GCACAAATAAAGCACT: 9/40)	-	Apr 26, 2020 (154)
61	gnomAD - Genomes	NC_000007.14 - 80674385	Apr 26, 2021 (155)
62	Korean Genome Project	NC_000007.14 - 80674385	Apr 26, 2020 (154)
63	Northern Sweden	NC_000007.13 - 80303701	Jul 13, 2019 (153)
64	8.3KJPN	NC_000007.13 - 80303701	Apr 26, 2021 (155)
65	14KJPN	NC_000007.14 - 80674385	Oct 13, 2022 (156)
66	TopMed	NC_000007.14 - 80674385	Apr 26, 2021 (155)
67	UK 10K study - Twins	NC_000007.13 - 80303701	Oct 12, 2018 (152)
68	A Vietnamese Genetic Variation Database	NC_000007.13 - 80303701	Jul 13, 2019 (153)
69	ALFA	NC_000007.14 - 80674385	Apr 26, 2021 (155)
70	ClinVar	RCV001694942.1	Oct 13, 2022 (156)

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)
rs3840546	Mar 31, 2003 (113)
rs75453285	Apr 25, 2013 (138)
rs150326073	Sep 17, 2011 (135)
rs386580860	Aug 21, 2014 (142)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
ss160616160, ss288853100, ss326954339, ss327008648, ss551752607, ss551957067, ss553304721, ss1594029829, ss3643641055	NC_000007.12:80141636:GCACAAATAAAG… NC_000007.12:80141636:GCACAAATAAAGCACT:	NC_000007.14:80674384:GCACAAATAAAG… NC_000007.14:80674384:GCACAAATAAAGCACT:	(self)
21046649, 14988848, 8077247, 42041092, 21046649, 4691459, ss481679152, ss537168066, ss554341165, ss1577028606, ss1578673234, ss1705699369, ss1705699406, ss1805077651, ss2030851308, ss2626761886, ss3001500056, ss3629847036, ss3636860336, ss3638705777, ss3669250600, ss3734792382, ss3830661973, ss3986040224, ss5184071785, ss5643329821, ss5823083596, ss5972505005, ss5980445902	NC_000007.13:80303700:GCACAAATAAAG… NC_000007.13:80303700:GCACAAATAAAGCACT:	NC_000007.14:80674384:GCACAAATAAAG… NC_000007.14:80674384:GCACAAATAAAGCACT:	(self)
RCV001694942.1, 49636168, 266788207, 18319717, 58446081, 589313635, 247792127, ss3065144495, ss3066153411, ss3648683031, ss3720054563, ss3809940999, ss3961941716, ss4167052351, ss4751936076, ss5273579889, ss5470593855, ss5562110233, ss5724608977, ss5808814394, ss5855970794, ss5859573556	NC_000007.14:80674384:GCACAAATAAAG… NC_000007.14:80674384:GCACAAATAAAGCACT:	NC_000007.14:80674384:GCACAAATAAAG… NC_000007.14:80674384:GCACAAATAAAGCACT:	(self)
ss4472389, ss5027070, ss66537301, ss76868032, ss95210449, ss95216877, ss107695000, ss173574783	NT_007933.15:18336543:GCACAAATAAAG… NT_007933.15:18336543:GCACAAATAAAGCACT:	NC_000007.14:80674384:GCACAAATAAAG… NC_000007.14:80674384:GCACAAATAAAGCACT:	(self)

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

8 citations for rs3212018

PMID	Title	Author	Year	Journal
22113854	Polymorphism of the CD36 Gene and Cardiovascular Risk Factors in Patients with Coronary Artery Disease Manifested at a Young Age.	Rać ME et al.	2012	Biochemical genetics
22240721	Common variants in the CD36 gene are associated with oral fat perception, fat preferences, and obesity in African Americans.	Keller KL et al.	2012	Obesity (Silver Spring, Md.)
24049523	Association of CD36 gene polymorphisms with echo- and electrocardiographic parameters in patients with early onset coronary artery disease.	Rac M et al.	2013	Archives of medical science
24188362	CD36 haplotypes are associated with lipid profile in normal-weight subjects.	Ramos-Arellano LE et al.	2013	Lipids in health and disease
25565374	CD36 gene variants in early prediction of type 2 diabetes mellitus.	Gautam S et al.	2015	Genetic testing and molecular biomarkers
27752496	Oily Fish Consumption Modifies the Association between CD36 rs6969989 Polymorphism and Lipid Profiles in Korean Women.	Shin Y et al.	2016	Preventive nutrition and food science
29446339	The rs1527483, but not rs3212018, CD36 polymorphism associates with linoleic acid detection and obesity in Czech young adults.	Plesník J et al.	2018	The British journal of nutrition
31483113	GutSelf: Interindividual Variability in the Processing of Dietary Compounds by the Human Gastrointestinal Tract.	Walther B et al.	2019	Molecular nutrition & food research

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.

Choose placement

dbSNP Short Genetic Variations

Welcome to the Reference SNP (rs) Report

Reference SNP (rs) Report

rs3212018