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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.

rs708272

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr16:56962376 (GRCh38.p14) Help

The anchor position for this RefSNP. Includes all nucleotides potentially affected by this change, thus it can differ from HGVS, which is right-shifted. See here for details.

Alleles
G>A / G>C
Variation Type
SNV Single Nucleotide Variation
Frequency
A=0.375655 (99432/264690, TOPMED)
A=0.424326 (96025/226300, GnomAD_exome)
A=0.425887 (72342/169862, ALFA) (+ 23 more)
A=0.381069 (53249/139736, GnomAD)
A=0.429169 (46849/109162, ExAC)
A=0.34713 (27319/78700, PAGE_STUDY)
A=0.40732 (11510/28258, 14KJPN)
A=0.40191 (6736/16760, 8.3KJPN)
A=0.3763 (2410/6404, 1000G_30x)
A=0.3753 (2152/5734, GO-ESP)
A=0.3776 (1891/5008, 1000G)
A=0.4679 (2096/4480, Estonian)
A=0.4411 (1700/3854, ALSPAC)
A=0.4477 (1660/3708, TWINSUK)
A=0.3819 (1119/2930, KOREAN)
A=0.3745 (686/1832, Korea1K)
A=0.420 (419/998, GoNL)
A=0.415 (328/790, PRJEB37584)
A=0.482 (289/600, NorthernSweden)
A=0.416 (222/534, MGP)
G=0.373 (135/362, SGDP_PRJ)
A=0.423 (127/300, FINRISK)
A=0.309 (84/272, PharmGKB)
A=0.398 (86/216, Qatari)
G=0.33 (13/40, GENOME_DK)
G=0.28 (9/32, Siberian)
Clinical Significance
Reported in ClinVar
Gene : Consequence
CETP : Intron Variant
Publications
105 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 169956 G=0.574154 A=0.425846, C=0.000000
European Sub 144230 G=0.564564 A=0.435436, C=0.000000
African Sub 8914 G=0.7388 A=0.2612, C=0.0000
African Others Sub 310 G=0.755 A=0.245, C=0.000
African American Sub 8604 G=0.7383 A=0.2617, C=0.0000
Asian Sub 3480 G=0.6204 A=0.3796, C=0.0000
East Asian Sub 2810 G=0.6139 A=0.3861, C=0.0000
Other Asian Sub 670 G=0.648 A=0.352, C=0.000
Latin American 1 Sub 544 G=0.583 A=0.417, C=0.000
Latin American 2 Sub 1578 G=0.5323 A=0.4677, C=0.0000
South Asian Sub 5150 G=0.5126 A=0.4874, C=0.0000
Other Sub 6060 G=0.5960 A=0.4040, C=0.0000


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 G=0.624345 A=0.375655
gnomAD - Exomes Global Study-wide 226300 G=0.575674 A=0.424326
gnomAD - Exomes European Sub 115810 G=0.573267 A=0.426733
gnomAD - Exomes Asian Sub 47372 G=0.56168 A=0.43832
gnomAD - Exomes American Sub 33748 G=0.52394 A=0.47606
gnomAD - Exomes African Sub 13828 G=0.73814 A=0.26186
gnomAD - Exomes Ashkenazi Jewish Sub 9750 G=0.6217 A=0.3783
gnomAD - Exomes Other Sub 5792 G=0.5742 A=0.4258
Allele Frequency Aggregator Total Global 169862 G=0.574113 A=0.425887, C=0.000000
Allele Frequency Aggregator European Sub 144154 G=0.564514 A=0.435486, C=0.000000
Allele Frequency Aggregator African Sub 8914 G=0.7388 A=0.2612, C=0.0000
Allele Frequency Aggregator Other Sub 6042 G=0.5960 A=0.4040, C=0.0000
Allele Frequency Aggregator South Asian Sub 5150 G=0.5126 A=0.4874, C=0.0000
Allele Frequency Aggregator Asian Sub 3480 G=0.6204 A=0.3796, C=0.0000
Allele Frequency Aggregator Latin American 2 Sub 1578 G=0.5323 A=0.4677, C=0.0000
Allele Frequency Aggregator Latin American 1 Sub 544 G=0.583 A=0.417, C=0.000
gnomAD - Genomes Global Study-wide 139736 G=0.618931 A=0.381069
gnomAD - Genomes European Sub 75676 G=0.56234 A=0.43766
gnomAD - Genomes African Sub 41870 G=0.73449 A=0.26551
gnomAD - Genomes American Sub 13608 G=0.58128 A=0.41872
gnomAD - Genomes Ashkenazi Jewish Sub 3324 G=0.6161 A=0.3839
gnomAD - Genomes East Asian Sub 3110 G=0.6148 A=0.3852
gnomAD - Genomes Other Sub 2148 G=0.6089 A=0.3911
ExAC Global Study-wide 109162 G=0.570831 A=0.429169
ExAC Europe Sub 66122 G=0.57276 A=0.42724
ExAC Asian Sub 23626 G=0.55088 A=0.44912
ExAC American Sub 10778 G=0.49425 A=0.50575
ExAC African Sub 7834 G=0.7227 A=0.2773
ExAC Other Sub 802 G=0.545 A=0.455
The PAGE Study Global Study-wide 78700 G=0.65287 A=0.34713
The PAGE Study AfricanAmerican Sub 32514 G=0.73055 A=0.26945
The PAGE Study Mexican Sub 10810 G=0.54339 A=0.45661
The PAGE Study Asian Sub 8318 G=0.5951 A=0.4049
The PAGE Study PuertoRican Sub 7918 G=0.6374 A=0.3626
The PAGE Study NativeHawaiian Sub 4534 G=0.6460 A=0.3540
The PAGE Study Cuban Sub 4230 G=0.6357 A=0.3643
The PAGE Study Dominican Sub 3828 G=0.6630 A=0.3370
The PAGE Study CentralAmerican Sub 2450 G=0.5612 A=0.4388
The PAGE Study SouthAmerican Sub 1982 G=0.5308 A=0.4692
The PAGE Study NativeAmerican Sub 1260 G=0.5667 A=0.4333
The PAGE Study SouthAsian Sub 856 G=0.537 A=0.463
14KJPN JAPANESE Study-wide 28258 G=0.59268 A=0.40732
8.3KJPN JAPANESE Study-wide 16760 G=0.59809 A=0.40191
1000Genomes_30x Global Study-wide 6404 G=0.6237 A=0.3763
1000Genomes_30x African Sub 1786 G=0.7542 A=0.2458
1000Genomes_30x Europe Sub 1266 G=0.5774 A=0.4226
1000Genomes_30x South Asian Sub 1202 G=0.5474 A=0.4526
1000Genomes_30x East Asian Sub 1170 G=0.6197 A=0.3803
1000Genomes_30x American Sub 980 G=0.544 A=0.456
GO Exome Sequencing Project Global Study-wide 5734 G=0.6247 A=0.3753
GO Exome Sequencing Project European American Sub 3982 G=0.5856 A=0.4144
GO Exome Sequencing Project African American Sub 1752 G=0.7135 A=0.2865
1000Genomes Global Study-wide 5008 G=0.6224 A=0.3776
1000Genomes African Sub 1322 G=0.7534 A=0.2466
1000Genomes East Asian Sub 1008 G=0.6250 A=0.3750
1000Genomes Europe Sub 1006 G=0.5746 A=0.4254
1000Genomes South Asian Sub 978 G=0.552 A=0.448
1000Genomes American Sub 694 G=0.537 A=0.463
Genetic variation in the Estonian population Estonian Study-wide 4480 G=0.5321 A=0.4679
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 G=0.5589 A=0.4411
UK 10K study - Twins TWIN COHORT Study-wide 3708 G=0.5523 A=0.4477
KOREAN population from KRGDB KOREAN Study-wide 2930 G=0.6181 A=0.3819, C=0.0000
Korean Genome Project KOREAN Study-wide 1832 G=0.6255 A=0.3745
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 G=0.580 A=0.420
CNV burdens in cranial meningiomas Global Study-wide 790 G=0.585 A=0.415
CNV burdens in cranial meningiomas CRM Sub 790 G=0.585 A=0.415
Northern Sweden ACPOP Study-wide 600 G=0.518 A=0.482
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 G=0.584 A=0.416
SGDP_PRJ Global Study-wide 362 G=0.373 A=0.627
FINRISK Finnish from FINRISK project Study-wide 300 G=0.577 A=0.423
PharmGKB Aggregated Global Study-wide 272 G=0.691 A=0.309
PharmGKB Aggregated PA151937402 Sub 136 G=0.691 A=0.309
PharmGKB Aggregated PA151937904 Sub 136 G=0.691 A=0.309
Qatari Global Study-wide 216 G=0.602 A=0.398
The Danish reference pan genome Danish Study-wide 40 G=0.33 A=0.68
Siberian Global Study-wide 32 G=0.28 A=0.72
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 16 NC_000016.10:g.56962376G>A
GRCh38.p14 chr 16 NC_000016.10:g.56962376G>C
GRCh37.p13 chr 16 NC_000016.9:g.56996288G>A
GRCh37.p13 chr 16 NC_000016.9:g.56996288G>C
CETP RefSeqGene NG_008952.1:g.5454G>A
CETP RefSeqGene NG_008952.1:g.5454G>C
Gene: CETP, cholesteryl ester transfer protein (plus strand)
Molecule type Change Amino acid[Codon] SO Term
CETP transcript variant 1 NM_000078.3:c.118+279G>A N/A Intron Variant
CETP transcript variant 2 NM_001286085.2:c.118+279G…

NM_001286085.2:c.118+279G>A

N/A Intron Variant
CETP transcript variant X1 XM_006721124.4:c.118+279G…

XM_006721124.4:c.118+279G>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: 1228884 )
ClinVar Accession Disease Names Clinical Significance
RCV001637726.3 not provided Benign
RCV002243347.1 Coronary artery disorder Benign
Help

Aliases tab displays HGVS names representing the variant placements and allele changes on genomic, transcript and protein sequences, per allele. HGVS name is an expression for reporting sequence accession and version, sequence type, position, and allele change. The column "Note" can have two values: "diff" means that there is a difference between the reference allele (variation interval) at the placement reported in HGVS name and the reference alleles reported in other HGVS names, and "rev" means that the sequence of this variation interval at the placement reported in HGVS name is in reverse orientation to the sequence(s) of this variation in other HGVS names not labeled as "rev".

Placement G= A C
GRCh38.p14 chr 16 NC_000016.10:g.56962376= NC_000016.10:g.56962376G>A NC_000016.10:g.56962376G>C
GRCh37.p13 chr 16 NC_000016.9:g.56996288= NC_000016.9:g.56996288G>A NC_000016.9:g.56996288G>C
CETP RefSeqGene NG_008952.1:g.5454= NG_008952.1:g.5454G>A NG_008952.1:g.5454G>C
CETP transcript variant 1 NM_000078.2:c.118+279= NM_000078.2:c.118+279G>A NM_000078.2:c.118+279G>C
CETP transcript variant 1 NM_000078.3:c.118+279= NM_000078.3:c.118+279G>A NM_000078.3:c.118+279G>C
CETP transcript variant 2 NM_001286085.2:c.118+279= NM_001286085.2:c.118+279G>A NM_001286085.2:c.118+279G>C
CETP transcript variant X1 XM_005255776.1:c.118+279= XM_005255776.1:c.118+279G>A XM_005255776.1:c.118+279G>C
CETP transcript variant X1 XM_006721124.4:c.118+279= XM_006721124.4:c.118+279G>A XM_006721124.4:c.118+279G>C
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#.

128 SubSNP, 26 Frequency, 2 ClinVar submissions
No Submitter Submission ID Date (Build)
1 KWOK ss1279119 Oct 04, 2000 (86)
2 KWOK ss1279959 Oct 04, 2000 (86)
3 HGBASE ss2420913 Nov 14, 2000 (89)
4 PARC ss23143013 Sep 20, 2004 (126)
5 PERLEGEN ss24432792 Sep 20, 2004 (123)
6 ABI ss43958162 Mar 10, 2006 (126)
7 PHARMGKB_PARC ss84138904 Dec 14, 2007 (130)
8 PHARMGKB_PARC ss84138920 Dec 14, 2007 (130)
9 HGSV ss84329604 Dec 14, 2007 (130)
10 HGSV ss85612267 Dec 14, 2007 (130)
11 1000GENOMES ss109350826 Jan 24, 2009 (130)
12 1000GENOMES ss115142208 Jan 25, 2009 (130)
13 ILLUMINA-UK ss118265921 Feb 14, 2009 (130)
14 ENSEMBL ss132511534 Dec 01, 2009 (131)
15 ILLUMINA ss154402868 Dec 01, 2009 (131)
16 GMI ss157396441 Dec 01, 2009 (131)
17 ILLUMINA ss159578111 Dec 01, 2009 (131)
18 COMPLETE_GENOMICS ss168275926 Jul 04, 2010 (132)
19 COMPLETE_GENOMICS ss169831300 Jul 04, 2010 (132)
20 COMPLETE_GENOMICS ss171291741 Jul 04, 2010 (132)
21 ILLUMINA ss174233012 Jul 04, 2010 (132)
22 BUSHMAN ss201740909 Jul 04, 2010 (132)
23 1000GENOMES ss227262004 Jul 14, 2010 (132)
24 1000GENOMES ss237039588 Jul 15, 2010 (132)
25 1000GENOMES ss243376550 Jul 15, 2010 (132)
26 ILLUMINA ss244307800 Jul 04, 2010 (132)
27 BL ss255729926 May 09, 2011 (134)
28 GMI ss282546413 May 04, 2012 (137)
29 GMI ss287081794 Apr 25, 2013 (138)
30 ILLUMINA ss479982690 May 04, 2012 (137)
31 ILLUMINA ss483521597 May 04, 2012 (137)
32 CLINSEQ_SNP ss491719210 May 04, 2012 (137)
33 ILLUMINA ss533445224 Sep 08, 2015 (146)
34 TISHKOFF ss564922131 Apr 25, 2013 (138)
35 SSMP ss660696146 Apr 25, 2013 (138)
36 NHLBI-ESP ss713307498 Apr 25, 2013 (138)
37 ILLUMINA ss779688466 Sep 08, 2015 (146)
38 ILLUMINA ss781117350 Sep 08, 2015 (146)
39 ILLUMINA ss833089173 Aug 21, 2014 (142)
40 ILLUMINA ss833680001 Aug 21, 2014 (142)
41 ILLUMINA ss835162304 Sep 08, 2015 (146)
42 JMKIDD_LAB ss974495089 Aug 21, 2014 (142)
43 EVA-GONL ss992526062 Aug 21, 2014 (142)
44 JMKIDD_LAB ss1067561883 Aug 21, 2014 (142)
45 JMKIDD_LAB ss1080650699 Aug 21, 2014 (142)
46 1000GENOMES ss1356389502 Aug 21, 2014 (142)
47 DDI ss1427858468 Apr 01, 2015 (144)
48 EVA_GENOME_DK ss1577928655 Apr 01, 2015 (144)
49 EVA_FINRISK ss1584100143 Apr 01, 2015 (144)
50 EVA_UK10K_ALSPAC ss1634499395 Apr 01, 2015 (144)
51 EVA_UK10K_TWINSUK ss1677493428 Apr 01, 2015 (144)
52 EVA_EXAC ss1692313928 Apr 01, 2015 (144)
53 EVA_DECODE ss1696560594 Apr 01, 2015 (144)
54 EVA_MGP ss1711430501 Apr 01, 2015 (144)
55 HAMMER_LAB ss1808529320 Sep 08, 2015 (146)
56 WEILL_CORNELL_DGM ss1935962300 Feb 12, 2016 (147)
57 ILLUMINA ss1959681905 Feb 12, 2016 (147)
58 GENOMED ss1968270394 Jul 19, 2016 (147)
59 JJLAB ss2028764606 Sep 14, 2016 (149)
60 USC_VALOUEV ss2157201138 Dec 20, 2016 (150)
61 HUMAN_LONGEVITY ss2212446382 Dec 20, 2016 (150)
62 SYSTEMSBIOZJU ss2628873900 Nov 08, 2017 (151)
63 ILLUMINA ss2633322708 Nov 08, 2017 (151)
64 GRF ss2701725812 Nov 08, 2017 (151)
65 ILLUMINA ss2710834152 Nov 08, 2017 (151)
66 GNOMAD ss2742003168 Nov 08, 2017 (151)
67 GNOMAD ss2749548531 Nov 08, 2017 (151)
68 GNOMAD ss2943414425 Nov 08, 2017 (151)
69 AFFY ss2985069724 Nov 08, 2017 (151)
70 AFFY ss2985705869 Nov 08, 2017 (151)
71 SWEGEN ss3014571103 Nov 08, 2017 (151)
72 ILLUMINA ss3021709790 Nov 08, 2017 (151)
73 BIOINF_KMB_FNS_UNIBA ss3028200990 Nov 08, 2017 (151)
74 CSHL ss3351468585 Nov 08, 2017 (151)
75 ILLUMINA ss3627531742 Oct 12, 2018 (152)
76 ILLUMINA ss3631308870 Oct 12, 2018 (152)
77 ILLUMINA ss3638127224 Oct 12, 2018 (152)
78 ILLUMINA ss3641957293 Oct 12, 2018 (152)
79 OMUKHERJEE_ADBS ss3646494947 Oct 12, 2018 (152)
80 URBANLAB ss3650518070 Oct 12, 2018 (152)
81 ILLUMINA ss3652118773 Oct 12, 2018 (152)
82 ILLUMINA ss3653841685 Oct 12, 2018 (152)
83 EGCUT_WGS ss3681546683 Jul 13, 2019 (153)
84 EVA_DECODE ss3699333703 Jul 13, 2019 (153)
85 ILLUMINA ss3725565171 Jul 13, 2019 (153)
86 ACPOP ss3741542199 Jul 13, 2019 (153)
87 EVA ss3753982468 Jul 13, 2019 (153)
88 PAGE_CC ss3771881880 Jul 13, 2019 (153)
89 PACBIO ss3788049962 Jul 13, 2019 (153)
90 PACBIO ss3793031275 Jul 13, 2019 (153)
91 PACBIO ss3797916270 Jul 13, 2019 (153)
92 KHV_HUMAN_GENOMES ss3819269195 Jul 13, 2019 (153)
93 EVA ss3825018302 Apr 27, 2020 (154)
94 EVA ss3825879734 Apr 27, 2020 (154)
95 EVA ss3834588253 Apr 27, 2020 (154)
96 EVA ss3840899797 Apr 27, 2020 (154)
97 EVA ss3846391725 Apr 27, 2020 (154)
98 SGDP_PRJ ss3884512530 Apr 27, 2020 (154)
99 KRGDB ss3934004596 Apr 27, 2020 (154)
100 KOGIC ss3977657485 Apr 27, 2020 (154)
101 FSA-LAB ss3984094413 Apr 27, 2021 (155)
102 EVA ss3984713496 Apr 27, 2021 (155)
103 EVA ss3986688383 Apr 27, 2021 (155)
104 EVA ss4017737944 Apr 27, 2021 (155)
105 TOPMED ss5016620462 Apr 27, 2021 (155)
106 TOMMO_GENOMICS ss5219733139 Apr 27, 2021 (155)
107 EVA ss5236933738 Apr 27, 2021 (155)
108 1000G_HIGH_COVERAGE ss5301083701 Oct 16, 2022 (156)
109 EVA ss5315840765 Oct 16, 2022 (156)
110 EVA ss5423942773 Oct 16, 2022 (156)
111 HUGCELL_USP ss5494424212 Oct 16, 2022 (156)
112 1000G_HIGH_COVERAGE ss5603796494 Oct 16, 2022 (156)
113 EVA ss5624062810 Oct 16, 2022 (156)
114 SANFORD_IMAGENETICS ss5624381067 Oct 16, 2022 (156)
115 SANFORD_IMAGENETICS ss5658975018 Oct 16, 2022 (156)
116 TOMMO_GENOMICS ss5774788682 Oct 16, 2022 (156)
117 EVA ss5799456523 Oct 16, 2022 (156)
118 YY_MCH ss5816004768 Oct 16, 2022 (156)
119 EVA ss5846458325 Oct 16, 2022 (156)
120 EVA ss5847463189 Oct 16, 2022 (156)
121 EVA ss5847772178 Oct 16, 2022 (156)
122 EVA ss5848426006 Oct 16, 2022 (156)
123 EVA ss5851581601 Oct 16, 2022 (156)
124 EVA ss5899244212 Oct 16, 2022 (156)
125 EVA ss5936563938 Oct 16, 2022 (156)
126 EVA ss5950369459 Oct 16, 2022 (156)
127 EVA ss5979486501 Oct 16, 2022 (156)
128 EVA ss5981295567 Oct 16, 2022 (156)
129 1000Genomes NC_000016.9 - 56996288 Oct 12, 2018 (152)
130 1000Genomes_30x NC_000016.10 - 56962376 Oct 16, 2022 (156)
131 The Avon Longitudinal Study of Parents and Children NC_000016.9 - 56996288 Oct 12, 2018 (152)
132 Genetic variation in the Estonian population NC_000016.9 - 56996288 Oct 12, 2018 (152)
133 ExAC NC_000016.9 - 56996288 Oct 12, 2018 (152)
134 FINRISK NC_000016.9 - 56996288 Apr 27, 2020 (154)
135 The Danish reference pan genome NC_000016.9 - 56996288 Apr 27, 2020 (154)
136 gnomAD - Genomes NC_000016.10 - 56962376 Apr 27, 2021 (155)
137 gnomAD - Exomes NC_000016.9 - 56996288 Jul 13, 2019 (153)
138 GO Exome Sequencing Project NC_000016.9 - 56996288 Oct 12, 2018 (152)
139 Genome of the Netherlands Release 5 NC_000016.9 - 56996288 Apr 27, 2020 (154)
140 KOREAN population from KRGDB NC_000016.9 - 56996288 Apr 27, 2020 (154)
141 Korean Genome Project NC_000016.10 - 56962376 Apr 27, 2020 (154)
142 Medical Genome Project healthy controls from Spanish population NC_000016.9 - 56996288 Apr 27, 2020 (154)
143 Northern Sweden NC_000016.9 - 56996288 Jul 13, 2019 (153)
144 The PAGE Study NC_000016.10 - 56962376 Jul 13, 2019 (153)
145 CNV burdens in cranial meningiomas NC_000016.9 - 56996288 Apr 27, 2021 (155)
146 PharmGKB Aggregated NC_000016.10 - 56962376 Apr 27, 2020 (154)
147 Qatari NC_000016.9 - 56996288 Apr 27, 2020 (154)
148 SGDP_PRJ NC_000016.9 - 56996288 Apr 27, 2020 (154)
149 Siberian NC_000016.9 - 56996288 Apr 27, 2020 (154)
150 8.3KJPN NC_000016.9 - 56996288 Apr 27, 2021 (155)
151 14KJPN NC_000016.10 - 56962376 Oct 16, 2022 (156)
152 TopMed NC_000016.10 - 56962376 Apr 27, 2021 (155)
153 UK 10K study - Twins NC_000016.9 - 56996288 Oct 12, 2018 (152)
154 ALFA NC_000016.10 - 56962376 Apr 27, 2021 (155)
155 ClinVar RCV001637726.3 Oct 16, 2022 (156)
156 ClinVar RCV002243347.1 Oct 16, 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)
rs17237904 Mar 10, 2006 (126)
rs17290342 Oct 08, 2004 (123)
rs57207652 May 23, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss84329604, ss85612267, ss109350826, ss115142208, ss118265921, ss168275926, ss169831300, ss171291741, ss201740909, ss255729926, ss282546413, ss287081794, ss483521597, ss491719210, ss1696560594 NC_000016.8:55553788:G:A NC_000016.10:56962375:G:A (self)
69556535, 38582836, 27284931, 2722520, 96604, 4140571, 11283305, 1475466, 17205374, 41181990, 546261, 14827064, 263033, 18004222, 36529510, 9717492, 77702446, 38582836, ss227262004, ss237039588, ss243376550, ss479982690, ss533445224, ss564922131, ss660696146, ss713307498, ss779688466, ss781117350, ss833089173, ss833680001, ss835162304, ss974495089, ss992526062, ss1067561883, ss1080650699, ss1356389502, ss1427858468, ss1577928655, ss1584100143, ss1634499395, ss1677493428, ss1692313928, ss1711430501, ss1808529320, ss1935962300, ss1959681905, ss1968270394, ss2028764606, ss2157201138, ss2628873900, ss2633322708, ss2701725812, ss2710834152, ss2742003168, ss2749548531, ss2943414425, ss2985069724, ss2985705869, ss3014571103, ss3021709790, ss3351468585, ss3627531742, ss3631308870, ss3638127224, ss3641957293, ss3646494947, ss3652118773, ss3653841685, ss3681546683, ss3741542199, ss3753982468, ss3788049962, ss3793031275, ss3797916270, ss3825018302, ss3825879734, ss3834588253, ss3840899797, ss3884512530, ss3934004596, ss3984094413, ss3984713496, ss3986688383, ss4017737944, ss5219733139, ss5315840765, ss5423942773, ss5624062810, ss5624381067, ss5658975018, ss5799456523, ss5846458325, ss5847463189, ss5847772178, ss5848426006, ss5936563938, ss5950369459, ss5979486501, ss5981295567 NC_000016.9:56996287:G:A NC_000016.10:56962375:G:A (self)
RCV001637726.3, RCV002243347.1, 91322429, 490599066, 34035486, 1103349, 4379, 108625786, 232166123, 8864982890, ss2212446382, ss3028200990, ss3650518070, ss3699333703, ss3725565171, ss3771881880, ss3819269195, ss3846391725, ss3977657485, ss5016620462, ss5236933738, ss5301083701, ss5494424212, ss5603796494, ss5774788682, ss5816004768, ss5851581601, ss5899244212 NC_000016.10:56962375:G:A NC_000016.10:56962375:G:A (self)
ss1279119, ss1279959, ss2420913, ss23143013, ss24432792, ss43958162, ss84138904, ss84138920, ss132511534, ss154402868, ss157396441, ss159578111, ss174233012, ss244307800 NT_010498.15:10610486:G:A NC_000016.10:56962375:G:A (self)
41181990, ss3934004596 NC_000016.9:56996287:G:C NC_000016.10:56962375:G:C (self)
8864982890 NC_000016.10:56962375:G:C NC_000016.10:56962375:G:C (self)
Help

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

105 citations for rs708272
PMID Title Author Year Journal
12475937 Association testing by DNA pooling: an effective initial screen. Bansal A et al. 2002 Proceedings of the National Academy of Sciences of the United States of America
17157861 Associations between HDL-cholesterol and polymorphisms in hepatic lipase and lipoprotein lipase genes are modified by dietary fat intake in African American and White adults. Nettleton JA et al. 2007 Atherosclerosis
18164013 High HDL cholesterol does not protect against coronary artery disease when associated with combined cholesteryl ester transfer protein and hepatic lipase gene variants. van Acker BA et al. 2008 Atherosclerosis
18275964 Low-density lipoprotein and high-density lipoprotein cholesterol levels in relation to genetic polymorphisms and menopausal status: the Atherosclerosis Risk in Communities (ARIC) Study. Chamberlain AM et al. 2008 Atherosclerosis
18518852 Common variation in the CETP gene and the implications for cardiovascular disease and its treatment: an updated analysis. Dullaart RP et al. 2008 Pharmacogenomics
18549840 Cholesterol ester transfer protein, interleukin-8, peroxisome proliferator activator receptor alpha, and Toll-like receptor 4 genetic variations and risk of incident nonfatal myocardial infarction and ischemic stroke. Enquobahrie DA et al. 2008 The American journal of cardiology
18560005 Association of cholesteryl ester transfer protein genotypes with CETP mass and activity, lipid levels, and coronary risk. Thompson A et al. 2008 JAMA
18637884 Cholesteryl ester transfer protein (CETP) genetic variation and early onset of non-fatal myocardial infarction. Meiner V et al. 2008 Annals of human genetics
18835593 Interactions between alcohol intake and the polymorphism of rs708272 on serum high-density lipoprotein cholesterol levels in the Guangxi Hei Yi Zhuang population. Zhou Y et al. 2008 Alcohol (Fayetteville, N.Y.)
19041386 Genetic-epidemiological evidence on genes associated with HDL cholesterol levels: a systematic in-depth review. Boes E et al. 2009 Experimental gerontology
19263529 Genetic risk factors in recurrent venous thromboembolism: A multilocus, population-based, prospective approach. Zee RY et al. 2009 Clinica chimica acta; international journal of clinical chemistry
19336475 Integrated associations of genotypes with multiple blood biomarkers linked to coronary heart disease risk. Drenos F et al. 2009 Human molecular genetics
19364639 The effect of a novel intergenic polymorphism (rs11774572) on HDL-cholesterol concentrations depends on TaqIB polymorphism in the cholesterol ester transfer protein gene. Junyent M et al. 2010 Nutrition, metabolism, and cardiovascular diseases
19379518 Development of a fingerprinting panel using medically relevant polymorphisms. Cross DS et al. 2009 BMC medical genomics
19913121 Gene-centric association signals for lipids and apolipoproteins identified via the HumanCVD BeadChip. Talmud PJ et al. 2009 American journal of human genetics
20031564 Polymorphism in the CETP gene region, HDL cholesterol, and risk of future myocardial infarction: Genomewide analysis among 18 245 initially healthy women from the Women's Genome Health Study. Ridker PM et al. 2009 Circulation. Cardiovascular genetics
20082485 Genetic variants involved in gallstone formation and capsaicin metabolism, and the risk of gallbladder cancer in Chilean women. Báez S et al. 2010 World journal of gastroenterology
20205905 Association of repeatedly measured intermediate risk factors for complex diseases with high dimensional SNP data. Waaijenborg S et al. 2010 Algorithms for molecular biology
20421590 Genetic causes of high and low serum HDL-cholesterol. Weissglas-Volkov D et al. 2010 Journal of lipid research
20489166 Cholesteryl ester transfer protein polymorphism (TaqIB) associates with risk in postinfarction patients with high C-reactive protein and high-density lipoprotein cholesterol levels. Corsetti JP et al. 2010 Arteriosclerosis, thrombosis, and vascular biology
20565774 Population based allele frequencies of disease associated polymorphisms in the Personalized Medicine Research Project. Cross DS et al. 2010 BMC genetics
21056700 Lack of replication in polymorphisms reported to be associated with atrial fibrillation. Sinner MF et al. 2011 Heart rhythm
21146168 LPL polymorphism (D9N) predicts cardiovascular disease risk directly and through interaction with CETP polymorphism (TaqIB) in women with high HDL cholesterol and CRP. Corsetti JP et al. 2011 Atherosclerosis
21288825 Association of pharmacogenetic markers with premature discontinuation of first-line anti-HIV therapy: an observational cohort study. Lubomirov R et al. 2011 The Journal of infectious diseases
21316679 Associations between common genetic polymorphisms in the liver X receptor alpha and its target genes with the serum HDL-cholesterol concentration in adolescents of the HELENA Study. Legry V et al. 2011 Atherosclerosis
21423763 Interactions of the apolipoprotein A5 gene polymorphisms and alcohol consumption on serum lipid levels. Yin RX et al. 2011 PloS one
21467728 Profile of participants and genotype distributions of 108 polymorphisms in a cross-sectional study of associations of genotypes with lifestyle and clinical factors: a project in the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study. Wakai K et al. 2011 Journal of epidemiology
21708280 Candidate gene studies in gallbladder cancer: a systematic review and meta-analysis. Srivastava K et al. 2011 Mutation research
21860704 Implications of discoveries from genome-wide association studies in current cardiovascular practice. Jeemon P et al. 2011 World journal of cardiology
21894447 Are centenarians genetically predisposed to lower disease risk? Ruiz JR et al. 2012 Age (Dordrecht, Netherlands)
22024213 A novel gene-environment interaction involved in endometriosis. McCarty CA et al. 2012 International journal of gynaecology and obstetrics
22073289 Interaction between cholesteryl ester transfer protein and hepatic lipase encoding genes and the risk of type 2 diabetes: results from the Telde study. López-Ríos L et al. 2011 PloS one
22122979 The CETP I405V polymorphism is associated with an increased risk of Alzheimer's disease. Yu L et al. 2012 Aging cell
22143414 Genetic variation in cholesterol ester transfer protein, serum CETP activity, and coronary artery disease risk in Asian Indian diabetic cohort. Schierer A et al. 2012 Pharmacogenetics and genomics
22229114 Common Variants in 6 Lipid-Related Genes Discovered by High-Resolution DNA Melting Analysis and Their Association with Plasma Lipids. Carlquist JF et al. 2011 Journal of clinical & experimental cardiology
22328972 A Database of Gene-Environment Interactions Pertaining to Blood Lipid Traits, Cardiovascular Disease and Type 2 Diabetes. Lee YC et al. 2011 Journal of data mining in genomics & proteomics
22403620 Cholesteryl Ester Transfer Protein (CETP) polymorphisms affect mRNA splicing, HDL levels, and sex-dependent cardiovascular risk. Papp AC et al. 2012 PloS one
22715478 Genotypes associated with lipid metabolism contribute to differences in serum lipid profile of GH-deficient adults before and after GH replacement therapy. Barbosa EJ et al. 2012 European journal of endocrinology
23039238 Several genetic polymorphisms interact with overweight/obesity to influence serum lipid levels. Yin RX et al. 2012 Cardiovascular diabetology
23389097 The frequency of 4 common gene polymorphisms in nonagenarians, centenarians, and average life span individuals. Kolovou G et al. 2014 Angiology
23497168 Omega-3 fatty acids, polymorphisms and lipid related cardiovascular disease risk factors in the Inuit population. Rudkowska I et al. 2013 Nutrition & metabolism
23533563 Novel risk factors for premature peripheral arterial occlusive disease in non-diabetic patients: a case-control study. Bérard AM et al. 2013 PloS one
23656756 Single nucleotide polymorphisms in CETP, SLC46A1, SLC19A1, CD36, BCMO1, APOA5, and ABCA1 are significant predictors of plasma HDL in healthy adults. Clifford AJ et al. 2013 Lipids in health and disease
23675527 The association of common SNPs and haplotypes in CETP gene with HDL cholesterol levels in Latvian population. Radovica I et al. 2013 PloS one
23891427 Single nucleotide polymorphisms in cholesteryl ester transfer protein gene and recurrent coronary heart disease or mortality in patients with established atherosclerosis. Virani SS et al. 2013 The American journal of cardiology
23988150 Multi-locus candidate gene analyses of lipid levels in a pediatric Turkish cohort: lessons learned on LPL, CETP, LIPC, ABCA1, and SHBG. Agirbasli M et al. 2013 Omics
24319689 The roles of genetic polymorphisms and human immunodeficiency virus infection in lipid metabolism. de Almeida ER et al. 2013 BioMed research international
24346170 Genetic evidence for role of carotenoids in age-related macular degeneration in the Carotenoids in Age-Related Eye Disease Study (CAREDS). Meyers KJ et al. 2014 Investigative ophthalmology & visual science
24944790 Screening for 392 polymorphisms in 141 pharmacogenes. Kim JY et al. 2014 Biomedical reports
25073458 CETP gene polymorphism in the caucasian population of West Siberia and in groups contrast by total serum cholesterol levels. Shakhtshneider EV et al. 2014 Bulletin of experimental biology and medicine
25105518 Relationships between CETP genetic polymorphisms and Alzheimer's disease risk: a meta-analysis. Chen JJ et al. 2014 DNA and cell biology
25224634 Genetic variation in key genes associated with statin therapy in the Azores Islands (Portugal) healthy population. Melo MS et al. 2015 Annals of human biology
25561046 Circulating cholesteryl ester transfer protein and coronary heart disease: mendelian randomization meta-analysis. Niu W et al. 2015 Circulation. Cardiovascular genetics
25671407 A systems genetics approach to dyslipidemia in children and adolescents. White MJ et al. 2015 Omics
25864161 Ethnic differences in the association between lipid metabolism genes and lipid levels in black and white South African women. Ellman N et al. 2015 Atherosclerosis
25951190 Networks in Coronary Heart Disease Genetics As a Step towards Systems Epidemiology. Drenos F et al. 2015 PloS one
26101956 Polymorphisms in LPL, CETP, and HL protect HIV-infected patients from atherogenic dyslipidemia in an allele-dose-dependent manner. Guardiola M et al. 2015 AIDS research and human retroviruses
26365620 Genetic association of APOA5 and APOE with metabolic syndrome and their interaction with health-related behavior in Korean men. Son KY et al. 2015 Lipids in health and disease
26370976 Polymorphisms in the LPL and CETP Genes and Haplotype in the ESR1 Gene Are Associated with Metabolic Syndrome in Women from Southwestern Mexico. Cahua-Pablo JÁ et al. 2015 International journal of molecular sciences
26694435 Association between Eight Functional Polymorphisms and Haplotypes in the Cholesterol Ester Transfer Protein (CETP) Gene and Dyslipidemia in National Minority Adults in the Far West Region of China. Guo S et al. 2015 International journal of environmental research and public health
26936456 The impact of common polymorphisms in CETP and ABCA1 genes with the risk of coronary artery disease in Saudi Arabians. Cyrus C et al. 2016 Human genomics
26971241 Influence of Genetic Risk Factors on Coronary Heart Disease Occurrence in Afro-Caribbeans. Larifla L et al. 2016 The Canadian journal of cardiology
27415775 Gene Polymorphisms Affect the Effectiveness of Atorvastatin in Treating Ischemic Stroke Patients. Yue YH et al. 2016 Cellular physiology and biochemistry
27496123 Taq1B Polymorphism of Cholesteryl Ester Transfer Protein (CETP) and Its Effects on the Serum Lipid Levels in Metabolic Syndrome Patients. Maroufi NF et al. 2016 Biochemical genetics
27545125 [Association between CETP polymorphisms and haplotypes with dyslipidemia in Xinjiang Uygur and Kazak residents]. Hu YH et al. 2016 Zhonghua xin xue guan bing za zhi
27684940 Gene Polymorphisms of FABP2, ADIPOQ and ANP and Risk of Hypertriglyceridemia and Metabolic Syndrome in Afro-Caribbeans. Larifla L et al. 2016 PloS one
27716211 A 19-SNP coronary heart disease gene score profile in subjects with type 2 diabetes: the coronary heart disease risk in type 2 diabetes (CoRDia study) study baseline characteristics. Beaney KE et al. 2016 Cardiovascular diabetology
27717122 Genetic variants in CETP increase risk of intracerebral hemorrhage. Anderson CD et al. 2016 Annals of neurology
27757045 Pharmacogenomics of statins: understanding susceptibility to adverse effects. Kitzmiller JP et al. 2016 Pharmacogenomics and personalized medicine
27827461 Association and interaction of APOA5, BUD13, CETP, LIPA and health-related behavior with metabolic syndrome in a Taiwanese population. Lin E et al. 2016 Scientific reports
27900488 Additive Antiatherogenic Effects of CETP rs708272 on Serum LDL Subfraction Levels in Patients with CHD Under Statin Therapy. Kanca D et al. 2017 Biochemical genetics
28143480 Common variants in the genes of triglyceride and HDL-C metabolism lack association with coronary artery disease in the Pakistani subjects. Shahid SU et al. 2017 Lipids in health and disease
28167353 Genetic risk analysis of coronary artery disease in Pakistani subjects using a genetic risk score of 21 variants. Shahid SU et al. 2017 Atherosclerosis
28290785 [Genetic Risk Factors of Macrovascular Complications in Patients With Type 2 Diabetes]. Bystrova AA et al. 2017 Kardiologiia
28315561 Polymorphisms of lipid metabolism enzyme-coding genes in patients with diabetic dyslipidemia. Tetik Vardarlı A et al. 2017 Anatolian journal of cardiology
28623937 The association of lipid metabolism relative gene polymorphisms and ischemic stroke in Han and Uighur population of Xinjiang. Yue YH et al. 2017 Lipids in health and disease
28629169 Association between Six CETP Polymorphisms and Metabolic Syndrome in Uyghur Adults from Xinjiang, China. Hou H et al. 2017 International journal of environmental research and public health
28652652 Gallbladder cancer epidemiology, pathogenesis and molecular genetics: Recent update. Sharma A et al. 2017 World journal of gastroenterology
28918250 Associations of cholesteryl ester transfer protein (CETP) gene variants with predisposition to age-related macular degeneration. Liutkeviciene R et al. 2017 Gene
29234452 Genetic variations of cholesteryl ester transfer protein and diet interactions in relation to lipid profiles and coronary heart disease: a systematic review. Mirmiran P et al. 2017 Nutrition & metabolism
29570220 CETP and LCAT Gene Polymorphisms Are Associated with High-Density Lipoprotein Subclasses and Acute Coronary Syndrome. Vargas-Alarcon G et al. 2018 Lipids
29973202 Interaction between endothelial nitric oxide synthase rs1799983, cholesteryl ester-transfer protein rs708272 and angiopoietin-like protein 8 rs2278426 gene variants highly elevates the risk of type 2 diabetes mellitus and cardiovascular disease. El-Lebedy D et al. 2018 Cardiovascular diabetology
30026888 Prediction of dyslipidemia using gene mutations, family history of diseases and anthropometric indicators in children and adolescents: The CASPIAN-III study. Marateb HR et al. 2018 Computational and structural biotechnology journal
30178218 Relationship between CETP gene polymorphisms with coronary artery disease in Polish population. Iwanicka J et al. 2018 Molecular biology reports
30468910 Generalizability and applicability of results obtained from populations of European descent regarding the effect direction and size of HDL-C level-associated genetic variants to the Hungarian general and Roma populations. Pikó P et al. 2019 Gene
30544452 Gender specific effect of CETP rs708272 polymorphism on lipid and atherogenic index of plasma levels but not on the risk of coronary artery disease: A case-control study. Cai G et al. 2018 Medicine
30584432 Genetic Identification for Non-Communicable Disease: Findings from 20 Years of the Tehran Lipid and Glucose Study. Daneshpour MS et al. 2018 International journal of endocrinology and metabolism
30805016 Logic Regression Analysis of Gene Polymorphisms and HDL Levels in a Nationally Representative Sample of Iranian Adolescents: The CASPIAN-III Study. Moghadasi M et al. 2017 International journal of endocrinology and metabolism
31012439 Associations of cholesteryl ester transfer protein (CETP) gene variants with pituitary adenoma. Sidaraite A et al. 2020 Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia
31199170 Does CETP rs5882, rs708272, SIRT1 rs12778366, FGFR2 rs2981582, STAT3 rs744166, VEGFA rs833068, IL6 rs1800795 polymorphisms play a role in optic neuritis development? Gedvilaite G et al. 2019 Ophthalmic genetics
31585025 The influence of gene polymorphisms on postprandial triglyceride response after oral fat tolerance test meal in patients with diabetes mellitus. Gavra P et al. 2019 International journal of clinical practice
31739638 Association of RS708272 (CETP Gene Variant) with Lipid Profile Parameters and the Risk of Myocardial Infarction in the White Population of Western Siberia. Semaev S et al. 2019 Biomolecules
31806882 Genetic contribution to lipid target achievement with statin therapy: a prospective study. Ruiz-Iruela C et al. 2020 The pharmacogenomics journal
31910446 Genome-wide association study of metabolic syndrome in Korean populations. Oh SW et al. 2020 PloS one
32346024 Common genetic variation in obesity, lipid transfer genes and risk of Metabolic Syndrome: Results from IDEFICS/I.Family study and meta-analysis. Nagrani R et al. 2020 Scientific reports
32398726 Genetic Polymorphisms, Mediterranean Diet and Microbiota-Associated Urolithin Metabotypes can Predict Obesity in Childhood-Adolescence. Cortés-Martín A et al. 2020 Scientific reports
32647408 Association of Common Single Nucleotide Polymorphisms of Candidate Genes with Gallstone Disease: A Meta-Analysis. Chauhan T et al. 2020 Indian journal of clinical biochemistry
32666702 Association of genetic variants at CETP, AGER, and CYP4F2 locus with the risk of atrophic age-related macular degeneration. Liutkeviciene R et al. 2020 Molecular genetics & genomic medicine
32682401 Association of ESR1 (rs2234693 and rs9340799), CETP (rs708272), MTHFR (rs1801133 and rs2274976) and MS (rs185087) polymorphisms with Coronary Artery Disease (CAD). Raina JK et al. 2020 BMC cardiovascular disorders
33447072 Association of CETP Gene Variants with Atherogenic Dyslipidemia Among Thai Patients Treated with Statin. Srisawasdi P et al. 2021 Pharmacogenomics and personalized medicine
34594055 The rs4783961 and rs708272 genetic variants of the CETP gene are associated with coronary artery disease, but not with restenosis after coronary stenting. Vargas-Alarcón G et al. 2022 Archivos de cardiologia de Mexico
35098451 A Nutrigenetic Update on CETP Gene-Diet Interactions on Lipid-Related Outcomes. Wuni R et al. 2022 Current atherosclerosis reports
35311709 Pharmacogenetic Analyses of Therapeutic Effects of Lipophilic Statins on Cognitive and Functional Changes in Alzheimer's Disease. de Oliveira FF et al. 2022 Journal of Alzheimer's disease
35387194 Personalized Dietary Recommendations Based on Lipid-Related Genetic Variants: A Systematic Review. Pérez-Beltrán YE et al. 2022 Frontiers in nutrition
36068255 The effect of the association between CETP variant type and alcohol consumption on cholesterol level differs according to the ALDH2 variant type. Yoo MG et al. 2022 Scientific reports
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The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.

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Genomic regions, transcripts, and products
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NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
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Software version is: 2.0.1.post761+d5e8e07