Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

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.

rs1046276

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr16:30903305 (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
T>A / T>C / T>G
Variation Type
SNV Single Nucleotide Variation
Frequency
T=0.380124 (100615/264690, TOPMED)
T=0.377548 (52782/139802, GnomAD)
T=0.353281 (48309/136744, ALFA) (+ 17 more)
T=0.09516 (2689/28258, 14KJPN)
T=0.09642 (1616/16760, 8.3KJPN)
T=0.4205 (2693/6404, 1000G_30x)
T=0.4113 (2060/5008, 1000G)
T=0.3801 (1703/4480, Estonian)
T=0.3537 (1363/3854, ALSPAC)
T=0.3568 (1323/3708, TWINSUK)
T=0.0799 (234/2930, KOREAN)
T=0.3651 (682/1868, HapMap)
T=0.356 (355/998, GoNL)
T=0.350 (210/600, NorthernSweden)
T=0.217 (97/446, SGDP_PRJ)
T=0.301 (65/216, Qatari)
T=0.133 (28/210, Vietnamese)
T=0.41 (36/88, Ancient Sardinia)
T=0.20 (10/50, Siberian)
T=0.28 (11/40, GENOME_DK)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
CTF1 : Non Coding Transcript Variant
Publications
2 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 136744 T=0.353281 C=0.646719 0.127435 0.420874 0.451691 5
European Sub 117810 T=0.343103 C=0.656897 0.119531 0.433325 0.447144 2
African Sub 9472 T=0.4510 C=0.5490 0.201647 0.29962 0.498733 0
African Others Sub 310 T=0.426 C=0.574 0.180645 0.329032 0.490323 0
African American Sub 9162 T=0.4519 C=0.5481 0.202358 0.298625 0.499018 0
Asian Sub 504 T=0.125 C=0.875 0.02381 0.77381 0.202381 1
East Asian Sub 404 T=0.082 C=0.918 0.00495 0.841584 0.153465 0
Other Asian Sub 100 T=0.30 C=0.70 0.1 0.5 0.4 0
Latin American 1 Sub 688 T=0.426 C=0.574 0.19186 0.340116 0.468023 0
Latin American 2 Sub 3034 T=0.4314 C=0.5686 0.176664 0.313777 0.509558 2
South Asian Sub 174 T=0.672 C=0.328 0.471264 0.126437 0.402299 0
Other Sub 5062 T=0.3623 C=0.6377 0.132754 0.408139 0.459107 0


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 T=0.380124 C=0.619876
gnomAD - Genomes Global Study-wide 139802 T=0.377548 C=0.622452
gnomAD - Genomes European Sub 75752 T=0.35059 C=0.64941
gnomAD - Genomes African Sub 41850 T=0.45066 C=0.54934
gnomAD - Genomes American Sub 13604 T=0.39224 C=0.60776
gnomAD - Genomes Ashkenazi Jewish Sub 3314 T=0.2951 C=0.7049
gnomAD - Genomes East Asian Sub 3132 T=0.0884 C=0.9116
gnomAD - Genomes Other Sub 2150 T=0.3595 C=0.6405
Allele Frequency Aggregator Total Global 136744 T=0.353281 C=0.646719
Allele Frequency Aggregator European Sub 117810 T=0.343103 C=0.656897
Allele Frequency Aggregator African Sub 9472 T=0.4510 C=0.5490
Allele Frequency Aggregator Other Sub 5062 T=0.3623 C=0.6377
Allele Frequency Aggregator Latin American 2 Sub 3034 T=0.4314 C=0.5686
Allele Frequency Aggregator Latin American 1 Sub 688 T=0.426 C=0.574
Allele Frequency Aggregator Asian Sub 504 T=0.125 C=0.875
Allele Frequency Aggregator South Asian Sub 174 T=0.672 C=0.328
14KJPN JAPANESE Study-wide 28258 T=0.09516 C=0.90484
8.3KJPN JAPANESE Study-wide 16760 T=0.09642 C=0.90358
1000Genomes_30x Global Study-wide 6404 T=0.4205 C=0.5795
1000Genomes_30x African Sub 1786 T=0.4703 C=0.5297
1000Genomes_30x Europe Sub 1266 T=0.3586 C=0.6414
1000Genomes_30x South Asian Sub 1202 T=0.7379 C=0.2621
1000Genomes_30x East Asian Sub 1170 T=0.0932 C=0.9068
1000Genomes_30x American Sub 980 T=0.411 C=0.589
1000Genomes Global Study-wide 5008 T=0.4113 C=0.5887
1000Genomes African Sub 1322 T=0.4592 C=0.5408
1000Genomes East Asian Sub 1008 T=0.0942 C=0.9058
1000Genomes Europe Sub 1006 T=0.3519 C=0.6481
1000Genomes South Asian Sub 978 T=0.737 C=0.263
1000Genomes American Sub 694 T=0.408 C=0.592
Genetic variation in the Estonian population Estonian Study-wide 4480 T=0.3801 C=0.6199
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 T=0.3537 C=0.6463
UK 10K study - Twins TWIN COHORT Study-wide 3708 T=0.3568 C=0.6432
KOREAN population from KRGDB KOREAN Study-wide 2930 T=0.0799 A=0.0000, C=0.9201, G=0.0000
HapMap Global Study-wide 1868 T=0.3651 C=0.6349
HapMap American Sub 762 T=0.361 C=0.639
HapMap African Sub 676 T=0.485 C=0.515
HapMap Asian Sub 254 T=0.079 C=0.921
HapMap Europe Sub 176 T=0.335 C=0.665
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 T=0.356 C=0.644
Northern Sweden ACPOP Study-wide 600 T=0.350 C=0.650
SGDP_PRJ Global Study-wide 446 T=0.217 C=0.783
Qatari Global Study-wide 216 T=0.301 C=0.699
A Vietnamese Genetic Variation Database Global Study-wide 210 T=0.133 C=0.867
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 88 T=0.41 C=0.59
Siberian Global Study-wide 50 T=0.20 C=0.80
The Danish reference pan genome Danish Study-wide 40 T=0.28 C=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.30903305T>A
GRCh38.p14 chr 16 NC_000016.10:g.30903305T>C
GRCh38.p14 chr 16 NC_000016.10:g.30903305T>G
GRCh37.p13 chr 16 NC_000016.9:g.30914626T>A
GRCh37.p13 chr 16 NC_000016.9:g.30914626T>C
GRCh37.p13 chr 16 NC_000016.9:g.30914626T>G
CTF1 RefSeqGene (LRG_408) NG_009171.1:g.11699T>A
CTF1 RefSeqGene (LRG_408) NG_009171.1:g.11699T>C
CTF1 RefSeqGene (LRG_408) NG_009171.1:g.11699T>G
Gene: CTF1, cardiotrophin 1 (plus strand)
Molecule type Change Amino acid[Codon] SO Term
CTF1 transcript variant 2 NM_001142544.3:c.*766= N/A 3 Prime UTR Variant
CTF1 transcript variant 1 NM_001330.5:c.*766= N/A 3 Prime UTR Variant
CTF1 transcript variant 3 NR_165660.1:n.1510T>A N/A Non Coding Transcript Variant
CTF1 transcript variant 3 NR_165660.1:n.1510T>C N/A Non Coding Transcript Variant
CTF1 transcript variant 3 NR_165660.1:n.1510T>G N/A Non Coding Transcript Variant
CTF1 transcript variant X1 XM_011545759.3:c.*766= N/A 3 Prime UTR Variant
CTF1 transcript variant X2 XM_011545760.3:c.*766= N/A 3 Prime UTR 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.

Not Reported in ClinVar
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 T= A C G
GRCh38.p14 chr 16 NC_000016.10:g.30903305= NC_000016.10:g.30903305T>A NC_000016.10:g.30903305T>C NC_000016.10:g.30903305T>G
GRCh37.p13 chr 16 NC_000016.9:g.30914626= NC_000016.9:g.30914626T>A NC_000016.9:g.30914626T>C NC_000016.9:g.30914626T>G
CTF1 RefSeqGene (LRG_408) NG_009171.1:g.11699= NG_009171.1:g.11699T>A NG_009171.1:g.11699T>C NG_009171.1:g.11699T>G
CTF1 transcript variant 1 NM_001330.5:c.*766= NM_001330.5:c.*766T>A NM_001330.5:c.*766T>C NM_001330.5:c.*766T>G
CTF1 transcript variant 1 NM_001330.4:c.*766= NM_001330.4:c.*766T>A NM_001330.4:c.*766T>C NM_001330.4:c.*766T>G
CTF1 transcript variant 1 NM_001330.3:c.*766= NM_001330.3:c.*766T>A NM_001330.3:c.*766T>C NM_001330.3:c.*766T>G
CTF1 transcript variant 2 NM_001142544.3:c.*766= NM_001142544.3:c.*766T>A NM_001142544.3:c.*766T>C NM_001142544.3:c.*766T>G
CTF1 transcript variant 2 NM_001142544.2:c.*766= NM_001142544.2:c.*766T>A NM_001142544.2:c.*766T>C NM_001142544.2:c.*766T>G
CTF1 transcript variant 2 NM_001142544.1:c.*766= NM_001142544.1:c.*766T>A NM_001142544.1:c.*766T>C NM_001142544.1:c.*766T>G
CTF1 transcript variant 3 NR_165660.1:n.1510= NR_165660.1:n.1510T>A NR_165660.1:n.1510T>C NR_165660.1:n.1510T>G
CTF1 transcript variant X1 XM_011545759.3:c.*766= XM_011545759.3:c.*766T>A XM_011545759.3:c.*766T>C XM_011545759.3:c.*766T>G
CTF1 transcript variant X1 XM_011545759.2:c.*766= XM_011545759.2:c.*766T>A XM_011545759.2:c.*766T>C XM_011545759.2:c.*766T>G
CTF1 transcript variant X1 XM_011545759.1:c.*766= XM_011545759.1:c.*766T>A XM_011545759.1:c.*766T>C XM_011545759.1:c.*766T>G
CTF1 transcript variant X2 XM_011545760.3:c.*766= XM_011545760.3:c.*766T>A XM_011545760.3:c.*766T>C XM_011545760.3:c.*766T>G
CTF1 transcript variant X2 XM_011545760.2:c.*766= XM_011545760.2:c.*766T>A XM_011545760.2:c.*766T>C XM_011545760.2:c.*766T>G
CTF1 transcript variant X2 XM_011545760.1:c.*766= XM_011545760.1:c.*766T>A XM_011545760.1:c.*766T>C XM_011545760.1:c.*766T>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#.

130 SubSNP, 20 Frequency submissions
No Submitter Submission ID Date (Build)
1 LEE ss1517303 Oct 05, 2000 (86)
2 HGBASE ss2423455 Nov 14, 2000 (89)
3 CGAP-GAI ss4321653 Jan 04, 2002 (102)
4 LEE ss4392597 May 29, 2002 (106)
5 LEE ss4409752 May 29, 2002 (106)
6 YUSUKE ss4981082 Aug 28, 2002 (108)
7 WI_SSAHASNP ss12350439 Jul 11, 2003 (116)
8 BCM_SSAHASNP ss14255564 Dec 05, 2003 (119)
9 CGAP-GAI ss16228391 Feb 27, 2004 (120)
10 SSAHASNP ss21308947 Apr 05, 2004 (121)
11 ABI ss43876127 Mar 13, 2006 (126)
12 ILLUMINA ss65740263 Oct 16, 2006 (127)
13 AFFY ss66514710 Dec 02, 2006 (127)
14 ILLUMINA ss74862915 Dec 07, 2007 (129)
15 AFFY ss76337393 Dec 08, 2007 (130)
16 HGSV ss78266683 Dec 07, 2007 (129)
17 KRIBB_YJKIM ss81452817 Dec 15, 2007 (130)
18 HGSV ss82527882 Dec 15, 2007 (130)
19 HGSV ss83131626 Dec 15, 2007 (130)
20 CORNELL ss86240700 Mar 23, 2008 (129)
21 BCMHGSC_JDW ss90365258 Mar 24, 2008 (129)
22 HUMANGENOME_JCVI ss96633778 Feb 04, 2009 (130)
23 BGI ss103290613 Dec 01, 2009 (131)
24 1000GENOMES ss109298039 Jan 23, 2009 (130)
25 1000GENOMES ss115025642 Jan 25, 2009 (130)
26 ILLUMINA-UK ss118235881 Feb 14, 2009 (130)
27 ENSEMBL ss136658878 Dec 01, 2009 (131)
28 ENSEMBL ss136760171 Dec 01, 2009 (131)
29 GMI ss157247974 Dec 01, 2009 (131)
30 ILLUMINA ss159896111 Dec 01, 2009 (131)
31 COMPLETE_GENOMICS ss168116153 Jul 04, 2010 (132)
32 COMPLETE_GENOMICS ss169570923 Jul 04, 2010 (132)
33 ILLUMINA ss170111471 Jul 04, 2010 (132)
34 COMPLETE_GENOMICS ss171171117 Jul 04, 2010 (132)
35 AFFY ss173307285 Jul 04, 2010 (132)
36 BUSHMAN ss201610397 Jul 04, 2010 (132)
37 BCM-HGSC-SUB ss207687369 Jul 04, 2010 (132)
38 1000GENOMES ss227214437 Jul 14, 2010 (132)
39 1000GENOMES ss237004654 Jul 15, 2010 (132)
40 1000GENOMES ss243348755 Jul 15, 2010 (132)
41 ILLUMINA ss244269022 Jul 04, 2010 (132)
42 BL ss255619678 May 09, 2011 (134)
43 GMI ss282493458 May 04, 2012 (137)
44 GMI ss287058754 Apr 25, 2013 (138)
45 PJP ss291944625 May 09, 2011 (134)
46 ILLUMINA ss479273249 May 04, 2012 (137)
47 ILLUMINA ss479276167 May 04, 2012 (137)
48 ILLUMINA ss479650287 Sep 08, 2015 (146)
49 ILLUMINA ss484437216 May 04, 2012 (137)
50 ILLUMINA ss535439886 Sep 08, 2015 (146)
51 TISHKOFF ss564870041 Apr 25, 2013 (138)
52 SSMP ss660624741 Apr 25, 2013 (138)
53 ILLUMINA ss782665079 Sep 08, 2015 (146)
54 ILLUMINA ss831915659 Sep 08, 2015 (146)
55 EVA-GONL ss992431584 Aug 21, 2014 (142)
56 JMKIDD_LAB ss1080588566 Aug 21, 2014 (142)
57 1000GENOMES ss1355972647 Aug 21, 2014 (142)
58 DDI ss1427823505 Apr 01, 2015 (144)
59 EVA_GENOME_DK ss1577894497 Apr 01, 2015 (144)
60 EVA_UK10K_ALSPAC ss1634302668 Apr 01, 2015 (144)
61 EVA_UK10K_TWINSUK ss1677296701 Apr 01, 2015 (144)
62 EVA_DECODE ss1696465933 Apr 01, 2015 (144)
63 EVA_SVP ss1713535936 Apr 01, 2015 (144)
64 ILLUMINA ss1752190176 Sep 08, 2015 (146)
65 HAMMER_LAB ss1808488574 Sep 08, 2015 (146)
66 WEILL_CORNELL_DGM ss1935856570 Feb 12, 2016 (147)
67 GENOMED ss1968250833 Jul 19, 2016 (147)
68 JJLAB ss2028715280 Sep 14, 2016 (149)
69 ILLUMINA ss2094889847 Dec 20, 2016 (150)
70 ILLUMINA ss2095065894 Dec 20, 2016 (150)
71 USC_VALOUEV ss2157129318 Dec 20, 2016 (150)
72 HUMAN_LONGEVITY ss2211727606 Dec 20, 2016 (150)
73 SYSTEMSBIOZJU ss2628850261 Nov 08, 2017 (151)
74 ILLUMINA ss2633311691 Nov 08, 2017 (151)
75 GRF ss2701636964 Nov 08, 2017 (151)
76 AFFY ss2985066208 Nov 08, 2017 (151)
77 SWEGEN ss3014333175 Nov 08, 2017 (151)
78 BIOINF_KMB_FNS_UNIBA ss3028180541 Nov 08, 2017 (151)
79 CSHL ss3351408117 Nov 08, 2017 (151)
80 ILLUMINA ss3627510740 Oct 12, 2018 (152)
81 ILLUMINA ss3633119115 Oct 12, 2018 (152)
82 ILLUMINA ss3633825082 Oct 12, 2018 (152)
83 ILLUMINA ss3634639745 Oct 12, 2018 (152)
84 ILLUMINA ss3635513427 Oct 12, 2018 (152)
85 ILLUMINA ss3636329948 Oct 12, 2018 (152)
86 ILLUMINA ss3637264852 Oct 12, 2018 (152)
87 ILLUMINA ss3638122089 Oct 12, 2018 (152)
88 ILLUMINA ss3640347064 Oct 12, 2018 (152)
89 ILLUMINA ss3641070918 Oct 12, 2018 (152)
90 ILLUMINA ss3641366405 Oct 12, 2018 (152)
91 ILLUMINA ss3643103425 Oct 12, 2018 (152)
92 OMUKHERJEE_ADBS ss3646491210 Oct 12, 2018 (152)
93 URBANLAB ss3650498401 Oct 12, 2018 (152)
94 ILLUMINA ss3652107180 Oct 12, 2018 (152)
95 EGCUT_WGS ss3681406761 Jul 13, 2019 (153)
96 EVA_DECODE ss3699135980 Jul 13, 2019 (153)
97 ACPOP ss3741464944 Jul 13, 2019 (153)
98 ILLUMINA ss3744940174 Jul 13, 2019 (153)
99 EVA ss3753862290 Jul 13, 2019 (153)
100 ILLUMINA ss3772438484 Jul 13, 2019 (153)
101 PACBIO ss3788021991 Jul 13, 2019 (153)
102 PACBIO ss3793008452 Jul 13, 2019 (153)
103 PACBIO ss3797893344 Jul 13, 2019 (153)
104 KHV_HUMAN_GENOMES ss3819155629 Jul 13, 2019 (153)
105 EVA ss3825877840 Apr 27, 2020 (154)
106 EVA ss3834546445 Apr 27, 2020 (154)
107 EVA ss3840880775 Apr 27, 2020 (154)
108 EVA ss3846371791 Apr 27, 2020 (154)
109 SGDP_PRJ ss3884285678 Apr 27, 2020 (154)
110 KRGDB ss3933642771 Apr 27, 2020 (154)
111 FSA-LAB ss3984092123 Apr 27, 2021 (155)
112 EVA ss3985754095 Apr 27, 2021 (155)
113 EVA ss3986070478 Apr 27, 2021 (155)
114 EVA ss4017733415 Apr 27, 2021 (155)
115 GNOMAD ss4299510030 Apr 27, 2021 (155)
116 TOPMED ss5012816824 Apr 27, 2021 (155)
117 TOMMO_GENOMICS ss5219190738 Apr 27, 2021 (155)
118 1000G_HIGH_COVERAGE ss5300685501 Oct 16, 2022 (156)
119 EVA ss5315834720 Oct 16, 2022 (156)
120 EVA ss5423268615 Oct 16, 2022 (156)
121 HUGCELL_USP ss5494111153 Oct 16, 2022 (156)
122 1000G_HIGH_COVERAGE ss5603172745 Oct 16, 2022 (156)
123 SANFORD_IMAGENETICS ss5658767557 Oct 16, 2022 (156)
124 TOMMO_GENOMICS ss5773898582 Oct 16, 2022 (156)
125 EVA ss5799956523 Oct 16, 2022 (156)
126 YY_MCH ss5815893889 Oct 16, 2022 (156)
127 EVA ss5846312612 Oct 16, 2022 (156)
128 EVA ss5851549133 Oct 16, 2022 (156)
129 EVA ss5898844840 Oct 16, 2022 (156)
130 EVA ss5950181860 Oct 16, 2022 (156)
131 1000Genomes NC_000016.9 - 30914626 Oct 12, 2018 (152)
132 1000Genomes_30x NC_000016.10 - 30903305 Oct 16, 2022 (156)
133 The Avon Longitudinal Study of Parents and Children NC_000016.9 - 30914626 Oct 12, 2018 (152)
134 Genetic variation in the Estonian population NC_000016.9 - 30914626 Oct 12, 2018 (152)
135 The Danish reference pan genome NC_000016.9 - 30914626 Apr 27, 2020 (154)
136 gnomAD - Genomes NC_000016.10 - 30903305 Apr 27, 2021 (155)
137 Genome of the Netherlands Release 5 NC_000016.9 - 30914626 Apr 27, 2020 (154)
138 HapMap NC_000016.10 - 30903305 Apr 27, 2020 (154)
139 KOREAN population from KRGDB NC_000016.9 - 30914626 Apr 27, 2020 (154)
140 Northern Sweden NC_000016.9 - 30914626 Jul 13, 2019 (153)
141 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000016.9 - 30914626 Apr 27, 2021 (155)
142 Qatari NC_000016.9 - 30914626 Apr 27, 2020 (154)
143 SGDP_PRJ NC_000016.9 - 30914626 Apr 27, 2020 (154)
144 Siberian NC_000016.9 - 30914626 Apr 27, 2020 (154)
145 8.3KJPN NC_000016.9 - 30914626 Apr 27, 2021 (155)
146 14KJPN NC_000016.10 - 30903305 Oct 16, 2022 (156)
147 TopMed NC_000016.10 - 30903305 Apr 27, 2021 (155)
148 UK 10K study - Twins NC_000016.9 - 30914626 Oct 12, 2018 (152)
149 A Vietnamese Genetic Variation Database NC_000016.9 - 30914626 Jul 13, 2019 (153)
150 ALFA NC_000016.10 - 30903305 Apr 27, 2021 (155)
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)
rs3169529 Jul 03, 2002 (106)
rs3794708 Oct 09, 2002 (108)
rs56527805 May 24, 2008 (130)
rs58202894 May 24, 2008 (130)
rs59115019 Feb 26, 2009 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
40820165, ss3933642771 NC_000016.9:30914625:T:A NC_000016.10:30903304:T:A (self)
ss78266683, ss82527882, ss83131626, ss90365258, ss109298039, ss115025642, ss118235881, ss168116153, ss169570923, ss171171117, ss201610397, ss207687369, ss255619678, ss282493458, ss287058754, ss291944625, ss479273249, ss1696465933, ss1713535936, ss2094889847, ss3643103425 NC_000016.8:30822126:T:C NC_000016.10:30903304:T:C (self)
69127462, 38367878, 27145009, 4107740, 17114060, 40820165, 14749809, 980022, 17898492, 36302658, 9645672, 77160045, 38367878, 8518355, ss227214437, ss237004654, ss243348755, ss479276167, ss479650287, ss484437216, ss535439886, ss564870041, ss660624741, ss782665079, ss831915659, ss992431584, ss1080588566, ss1355972647, ss1427823505, ss1577894497, ss1634302668, ss1677296701, ss1752190176, ss1808488574, ss1935856570, ss1968250833, ss2028715280, ss2095065894, ss2157129318, ss2628850261, ss2633311691, ss2701636964, ss2985066208, ss3014333175, ss3351408117, ss3627510740, ss3633119115, ss3633825082, ss3634639745, ss3635513427, ss3636329948, ss3637264852, ss3638122089, ss3640347064, ss3641070918, ss3641366405, ss3646491210, ss3652107180, ss3681406761, ss3741464944, ss3744940174, ss3753862290, ss3772438484, ss3788021991, ss3793008452, ss3797893344, ss3825877840, ss3834546445, ss3840880775, ss3884285678, ss3933642771, ss3984092123, ss3985754095, ss3986070478, ss4017733415, ss5219190738, ss5315834720, ss5423268615, ss5658767557, ss5799956523, ss5846312612, ss5950181860 NC_000016.9:30914625:T:C NC_000016.10:30903304:T:C (self)
90698680, 487280959, 1373828, 107735686, 228362485, 5554908472, ss2211727606, ss3028180541, ss3650498401, ss3699135980, ss3819155629, ss3846371791, ss4299510030, ss5012816824, ss5300685501, ss5494111153, ss5603172745, ss5773898582, ss5815893889, ss5851549133, ss5898844840 NC_000016.10:30903304:T:C NC_000016.10:30903304:T:C (self)
ss1517303, ss2423455, ss4321653, ss4392597, ss4409752, ss4981082, ss16228391, ss43876127, ss65740263, ss66514710, ss74862915, ss76337393, ss81452817, ss86240700, ss96633778, ss103290613, ss136658878, ss136760171, ss157247974, ss159896111, ss170111471, ss173307285, ss244269022 NT_010393.16:30854625:T:C NC_000016.10:30903304:T:C (self)
ss12350439, ss14255564, ss21308947 NT_024812.10:2314292:T:C NC_000016.10:30903304:T:C (self)
40820165, ss3933642771 NC_000016.9:30914625:T:G NC_000016.10:30903304:T:G (self)
Help

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

2 citations for rs1046276
PMID Title Author Year Journal
25025664 Common genetic variation in the human CTF1 locus, encoding cardiotrophin-1, determines insulin sensitivity. Lutz SZ et al. 2014 PloS one
33096746 Genetic Landscape of Common Epilepsies: Advancing towards Precision in Treatment. Thakran S et al. 2020 International journal of molecular sciences
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.post820+afb47a3d