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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.

rs11771145

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr7:143413669 (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>T
Variation Type
SNV Single Nucleotide Variation
Frequency
A=0.351605 (119635/340254, ALFA)
A=0.421523 (111573/264690, TOPMED)
A=0.419142 (58627/139874, GnomAD) (+ 22 more)
A=0.47117 (37080/78698, PAGE_STUDY)
G=0.46628 (13176/28258, 14KJPN)
G=0.46634 (7815/16758, 8.3KJPN)
A=0.4319 (2766/6404, 1000G_30x)
A=0.4321 (2164/5008, 1000G)
A=0.3998 (1791/4480, Estonian)
A=0.3469 (1337/3854, ALSPAC)
A=0.3490 (1294/3708, TWINSUK)
G=0.4758 (1394/2930, KOREAN)
A=0.3968 (827/2084, HGDP_Stanford)
A=0.4662 (882/1892, HapMap)
G=0.4803 (880/1832, Korea1K)
A=0.2874 (311/1082, Daghestan)
A=0.354 (353/998, GoNL)
G=0.446 (353/792, PRJEB37584)
A=0.403 (242/600, NorthernSweden)
G=0.351 (122/348, SGDP_PRJ)
A=0.296 (64/216, Qatari)
A=0.467 (98/210, Vietnamese)
A=0.40 (16/40, GENOME_DK)
G=0.34 (13/38, Siberian)
A=0.08 (2/26, Ancient Sardinia)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
EPHA1-AS1 : Intron Variant
Publications
16 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 340470 G=0.648383 A=0.351617
European Sub 300174 G=0.654807 A=0.345193
African Sub 8470 G=0.4456 A=0.5544
African Others Sub 318 G=0.412 A=0.588
African American Sub 8152 G=0.4469 A=0.5531
Asian Sub 3968 G=0.4814 A=0.5186
East Asian Sub 3196 G=0.4706 A=0.5294
Other Asian Sub 772 G=0.526 A=0.474
Latin American 1 Sub 1132 G=0.6405 A=0.3595
Latin American 2 Sub 7190 G=0.6791 A=0.3209
South Asian Sub 5224 G=0.7096 A=0.2904
Other Sub 14312 G=0.64282 A=0.35718


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
Allele Frequency Aggregator Total Global 340254 G=0.648395 A=0.351605
Allele Frequency Aggregator European Sub 299994 G=0.654796 A=0.345204
Allele Frequency Aggregator Other Sub 14290 G=0.64297 A=0.35703
Allele Frequency Aggregator African Sub 8456 G=0.4460 A=0.5540
Allele Frequency Aggregator Latin American 2 Sub 7190 G=0.6791 A=0.3209
Allele Frequency Aggregator South Asian Sub 5224 G=0.7096 A=0.2904
Allele Frequency Aggregator Asian Sub 3968 G=0.4814 A=0.5186
Allele Frequency Aggregator Latin American 1 Sub 1132 G=0.6405 A=0.3595
TopMed Global Study-wide 264690 G=0.578477 A=0.421523
gnomAD - Genomes Global Study-wide 139874 G=0.580858 A=0.419142
gnomAD - Genomes European Sub 75794 G=0.64342 A=0.35658
gnomAD - Genomes African Sub 41864 G=0.44716 A=0.55284
gnomAD - Genomes American Sub 13622 G=0.63229 A=0.36771
gnomAD - Genomes Ashkenazi Jewish Sub 3320 G=0.6864 A=0.3136
gnomAD - Genomes East Asian Sub 3126 G=0.4914 A=0.5086
gnomAD - Genomes Other Sub 2148 G=0.6201 A=0.3799
The PAGE Study Global Study-wide 78698 G=0.52883 A=0.47117
The PAGE Study AfricanAmerican Sub 32512 G=0.44768 A=0.55232
The PAGE Study Mexican Sub 10810 G=0.66577 A=0.33423
The PAGE Study Asian Sub 8318 G=0.4756 A=0.5244
The PAGE Study PuertoRican Sub 7918 G=0.6245 A=0.3755
The PAGE Study NativeHawaiian Sub 4534 G=0.4014 A=0.5986
The PAGE Study Cuban Sub 4230 G=0.6402 A=0.3598
The PAGE Study Dominican Sub 3828 G=0.5593 A=0.4407
The PAGE Study CentralAmerican Sub 2450 G=0.6294 A=0.3706
The PAGE Study SouthAmerican Sub 1982 G=0.6806 A=0.3194
The PAGE Study NativeAmerican Sub 1260 G=0.6421 A=0.3579
The PAGE Study SouthAsian Sub 856 G=0.696 A=0.304
14KJPN JAPANESE Study-wide 28258 G=0.46628 A=0.53372
8.3KJPN JAPANESE Study-wide 16758 G=0.46634 A=0.53366
1000Genomes_30x Global Study-wide 6404 G=0.5681 A=0.4319
1000Genomes_30x African Sub 1786 G=0.4121 A=0.5879
1000Genomes_30x Europe Sub 1266 G=0.6367 A=0.3633
1000Genomes_30x South Asian Sub 1202 G=0.7022 A=0.2978
1000Genomes_30x East Asian Sub 1170 G=0.4769 A=0.5231
1000Genomes_30x American Sub 980 G=0.708 A=0.292
1000Genomes Global Study-wide 5008 G=0.5679 A=0.4321
1000Genomes African Sub 1322 G=0.4168 A=0.5832
1000Genomes East Asian Sub 1008 G=0.4782 A=0.5218
1000Genomes Europe Sub 1006 G=0.6372 A=0.3628
1000Genomes South Asian Sub 978 G=0.701 A=0.299
1000Genomes American Sub 694 G=0.697 A=0.303
Genetic variation in the Estonian population Estonian Study-wide 4480 G=0.6002 A=0.3998
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 G=0.6531 A=0.3469
UK 10K study - Twins TWIN COHORT Study-wide 3708 G=0.6510 A=0.3490
KOREAN population from KRGDB KOREAN Study-wide 2930 G=0.4758 A=0.5242, T=0.0000
HGDP-CEPH-db Supplement 1 Global Study-wide 2084 G=0.6032 A=0.3968
HGDP-CEPH-db Supplement 1 Est_Asia Sub 470 G=0.415 A=0.585
HGDP-CEPH-db Supplement 1 Central_South_Asia Sub 414 G=0.693 A=0.307
HGDP-CEPH-db Supplement 1 Middle_Est Sub 350 G=0.700 A=0.300
HGDP-CEPH-db Supplement 1 Europe Sub 320 G=0.716 A=0.284
HGDP-CEPH-db Supplement 1 Africa Sub 242 G=0.512 A=0.488
HGDP-CEPH-db Supplement 1 America Sub 216 G=0.657 A=0.343
HGDP-CEPH-db Supplement 1 Oceania Sub 72 G=0.49 A=0.51
HapMap Global Study-wide 1892 G=0.5338 A=0.4662
HapMap American Sub 770 G=0.603 A=0.397
HapMap African Sub 692 G=0.467 A=0.533
HapMap Asian Sub 254 G=0.453 A=0.547
HapMap Europe Sub 176 G=0.614 A=0.386
Korean Genome Project KOREAN Study-wide 1832 G=0.4803 A=0.5197
Genome-wide autozygosity in Daghestan Global Study-wide 1082 G=0.7126 A=0.2874
Genome-wide autozygosity in Daghestan Daghestan Sub 608 G=0.743 A=0.257
Genome-wide autozygosity in Daghestan Near_East Sub 136 G=0.713 A=0.287
Genome-wide autozygosity in Daghestan Central Asia Sub 120 G=0.692 A=0.308
Genome-wide autozygosity in Daghestan Europe Sub 100 G=0.60 A=0.40
Genome-wide autozygosity in Daghestan South Asian Sub 90 G=0.66 A=0.34
Genome-wide autozygosity in Daghestan Caucasus Sub 28 G=0.71 A=0.29
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 G=0.646 A=0.354
CNV burdens in cranial meningiomas Global Study-wide 792 G=0.446 A=0.554
CNV burdens in cranial meningiomas CRM Sub 792 G=0.446 A=0.554
Northern Sweden ACPOP Study-wide 600 G=0.597 A=0.403
SGDP_PRJ Global Study-wide 348 G=0.351 A=0.649
Qatari Global Study-wide 216 G=0.704 A=0.296
A Vietnamese Genetic Variation Database Global Study-wide 210 G=0.533 A=0.467
The Danish reference pan genome Danish Study-wide 40 G=0.60 A=0.40
Siberian Global Study-wide 38 G=0.34 A=0.66
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 26 G=0.92 A=0.08
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.143413669G>A
GRCh38.p14 chr 7 NC_000007.14:g.143413669G>T
GRCh37.p13 chr 7 NC_000007.13:g.143110762G>A
GRCh37.p13 chr 7 NC_000007.13:g.143110762G>T
GRCh38.p14 chr 7 fix patch HG708_PATCH NW_018654714.1:g.33033G>A
GRCh38.p14 chr 7 fix patch HG708_PATCH NW_018654714.1:g.33033G>T
Gene: EPHA1-AS1, EPHA1 antisense RNA 1 (plus strand)
Molecule type Change Amino acid[Codon] SO Term
EPHA1-AS1 transcript NR_033897.1:n. 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.

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 G= A T
GRCh38.p14 chr 7 NC_000007.14:g.143413669= NC_000007.14:g.143413669G>A NC_000007.14:g.143413669G>T
GRCh37.p13 chr 7 NC_000007.13:g.143110762= NC_000007.13:g.143110762G>A NC_000007.13:g.143110762G>T
GRCh38.p14 chr 7 fix patch HG708_PATCH NW_018654714.1:g.33033= NW_018654714.1:g.33033G>A NW_018654714.1:g.33033G>T
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#.

144 SubSNP, 25 Frequency submissions
No Submitter Submission ID Date (Build)
1 CSHL-HAPMAP ss17187758 Feb 28, 2004 (120)
2 ABI ss42967786 Mar 15, 2006 (126)
3 ILLUMINA ss66636048 Dec 01, 2006 (127)
4 ILLUMINA ss66954844 Dec 01, 2006 (127)
5 ILLUMINA ss67118133 Dec 01, 2006 (127)
6 ILLUMINA ss70399573 May 18, 2007 (127)
7 ILLUMINA ss70541703 May 25, 2008 (130)
8 ILLUMINA ss71073881 May 18, 2007 (127)
9 ILLUMINA ss75510951 Dec 07, 2007 (129)
10 HGSV ss78155192 Dec 07, 2007 (129)
11 HGSV ss84694879 Dec 15, 2007 (130)
12 KRIBB_YJKIM ss85138818 Dec 15, 2007 (130)
13 BGI ss104474684 Dec 01, 2009 (131)
14 1000GENOMES ss112600951 Jan 25, 2009 (130)
15 ILLUMINA-UK ss116355999 Feb 14, 2009 (130)
16 ILLUMINA ss121504498 Dec 01, 2009 (131)
17 ILLUMINA ss153057508 Dec 01, 2009 (131)
18 GMI ss155613541 Dec 01, 2009 (131)
19 ILLUMINA ss159188832 Dec 01, 2009 (131)
20 ILLUMINA ss160002655 Dec 01, 2009 (131)
21 COMPLETE_GENOMICS ss167209410 Jul 04, 2010 (132)
22 ILLUMINA ss169954359 Jul 04, 2010 (132)
23 ILLUMINA ss171554531 Jul 04, 2010 (132)
24 BCM-HGSC-SUB ss208071532 Jul 04, 2010 (132)
25 1000GENOMES ss212129933 Jul 14, 2010 (132)
26 1000GENOMES ss223382620 Jul 14, 2010 (132)
27 1000GENOMES ss234204027 Jul 15, 2010 (132)
28 1000GENOMES ss241108945 Jul 15, 2010 (132)
29 BL ss254732632 May 09, 2011 (134)
30 GMI ss279566984 May 04, 2012 (137)
31 PJP ss293983170 May 09, 2011 (134)
32 ILLUMINA ss479590275 May 04, 2012 (137)
33 ILLUMINA ss479594886 May 04, 2012 (137)
34 ILLUMINA ss480076382 Sep 08, 2015 (146)
35 ILLUMINA ss484593843 May 04, 2012 (137)
36 EXOME_CHIP ss491407212 May 04, 2012 (137)
37 ILLUMINA ss536722222 Sep 08, 2015 (146)
38 TISHKOFF ss560363319 Apr 25, 2013 (138)
39 SSMP ss654776444 Apr 25, 2013 (138)
40 ILLUMINA ss778765752 Sep 08, 2015 (146)
41 ILLUMINA ss780798593 Sep 08, 2015 (146)
42 ILLUMINA ss782743735 Sep 08, 2015 (146)
43 ILLUMINA ss783479904 Sep 08, 2015 (146)
44 ILLUMINA ss783710635 Sep 08, 2015 (146)
45 ILLUMINA ss825368881 Jul 19, 2016 (147)
46 ILLUMINA ss831995727 Sep 08, 2015 (146)
47 ILLUMINA ss832701320 Jul 13, 2019 (153)
48 ILLUMINA ss834225552 Sep 08, 2015 (146)
49 EVA-GONL ss984901361 Aug 21, 2014 (142)
50 JMKIDD_LAB ss1075057246 Aug 21, 2014 (142)
51 1000GENOMES ss1327527456 Aug 21, 2014 (142)
52 HAMMER_LAB ss1397508716 Sep 08, 2015 (146)
53 DDI ss1431309050 Apr 01, 2015 (144)
54 EVA_GENOME_DK ss1582440613 Apr 01, 2015 (144)
55 EVA_UK10K_ALSPAC ss1619426096 Apr 01, 2015 (144)
56 EVA_UK10K_TWINSUK ss1662420129 Apr 01, 2015 (144)
57 EVA_SVP ss1712994731 Apr 01, 2015 (144)
58 ILLUMINA ss1752669095 Sep 08, 2015 (146)
59 ILLUMINA ss1752669096 Sep 08, 2015 (146)
60 HAMMER_LAB ss1805266222 Sep 08, 2015 (146)
61 ILLUMINA ss1917823421 Feb 12, 2016 (147)
62 WEILL_CORNELL_DGM ss1928157373 Feb 12, 2016 (147)
63 ILLUMINA ss1946223414 Feb 12, 2016 (147)
64 ILLUMINA ss1959060400 Feb 12, 2016 (147)
65 GENOMED ss1970838674 Jul 19, 2016 (147)
66 JJLAB ss2024768328 Sep 14, 2016 (149)
67 ILLUMINA ss2095203961 Dec 20, 2016 (150)
68 USC_VALOUEV ss2152993566 Dec 20, 2016 (150)
69 HUMAN_LONGEVITY ss2298661789 Dec 20, 2016 (150)
70 SYSTEMSBIOZJU ss2626871333 Nov 08, 2017 (151)
71 ILLUMINA ss2634672373 Nov 08, 2017 (151)
72 ILLUMINA ss2635177469 Nov 08, 2017 (151)
73 GRF ss2708716636 Nov 08, 2017 (151)
74 ILLUMINA ss2711123488 Nov 08, 2017 (151)
75 GNOMAD ss2860231086 Nov 08, 2017 (151)
76 AFFY ss2985423757 Nov 08, 2017 (151)
77 SWEGEN ss3002203068 Nov 08, 2017 (151)
78 ILLUMINA ss3022789278 Nov 08, 2017 (151)
79 BIOINF_KMB_FNS_UNIBA ss3026173743 Nov 08, 2017 (151)
80 CSHL ss3347890010 Nov 08, 2017 (151)
81 ILLUMINA ss3625940397 Oct 12, 2018 (152)
82 ILLUMINA ss3629936201 Oct 12, 2018 (152)
83 ILLUMINA ss3629936202 Oct 12, 2018 (152)
84 ILLUMINA ss3632575997 Oct 12, 2018 (152)
85 ILLUMINA ss3633481221 Oct 12, 2018 (152)
86 ILLUMINA ss3634207004 Oct 12, 2018 (152)
87 ILLUMINA ss3635146271 Oct 12, 2018 (152)
88 ILLUMINA ss3635146272 Oct 12, 2018 (152)
89 ILLUMINA ss3635886339 Oct 12, 2018 (152)
90 ILLUMINA ss3636881120 Oct 12, 2018 (152)
91 ILLUMINA ss3637639396 Oct 12, 2018 (152)
92 ILLUMINA ss3638729578 Oct 12, 2018 (152)
93 ILLUMINA ss3639365726 Oct 12, 2018 (152)
94 ILLUMINA ss3639711913 Oct 12, 2018 (152)
95 ILLUMINA ss3640853562 Oct 12, 2018 (152)
96 ILLUMINA ss3640853563 Oct 12, 2018 (152)
97 ILLUMINA ss3643662881 Oct 12, 2018 (152)
98 ILLUMINA ss3644956580 Oct 12, 2018 (152)
99 ILLUMINA ss3653325250 Oct 12, 2018 (152)
100 ILLUMINA ss3653325251 Oct 12, 2018 (152)
101 ILLUMINA ss3654185077 Oct 12, 2018 (152)
102 EGCUT_WGS ss3669951010 Jul 13, 2019 (153)
103 EVA_DECODE ss3720887887 Jul 13, 2019 (153)
104 ILLUMINA ss3726490340 Jul 13, 2019 (153)
105 ACPOP ss3735156164 Jul 13, 2019 (153)
106 ILLUMINA ss3744574601 Jul 13, 2019 (153)
107 ILLUMINA ss3745446226 Jul 13, 2019 (153)
108 ILLUMINA ss3745446227 Jul 13, 2019 (153)
109 EVA ss3767280925 Jul 13, 2019 (153)
110 PAGE_CC ss3771405180 Jul 13, 2019 (153)
111 ILLUMINA ss3772938931 Jul 13, 2019 (153)
112 ILLUMINA ss3772938932 Jul 13, 2019 (153)
113 PACBIO ss3785985891 Jul 13, 2019 (153)
114 PACBIO ss3791259853 Jul 13, 2019 (153)
115 PACBIO ss3796140092 Jul 13, 2019 (153)
116 KHV_HUMAN_GENOMES ss3810443025 Jul 13, 2019 (153)
117 EVA ss3830870004 Apr 26, 2020 (154)
118 EVA ss3838933276 Apr 26, 2020 (154)
119 EVA ss3844390672 Apr 26, 2020 (154)
120 HGDP ss3847894019 Apr 26, 2020 (154)
121 SGDP_PRJ ss3868600396 Apr 26, 2020 (154)
122 KRGDB ss3915985464 Apr 26, 2020 (154)
123 KOGIC ss3962769687 Apr 26, 2020 (154)
124 EVA ss3984596630 Apr 26, 2021 (155)
125 EVA ss3985327452 Apr 26, 2021 (155)
126 EVA ss4017364363 Apr 26, 2021 (155)
127 TOPMED ss4767183623 Apr 26, 2021 (155)
128 TOMMO_GENOMICS ss5186031484 Apr 26, 2021 (155)
129 1000G_HIGH_COVERAGE ss5275090387 Oct 13, 2022 (156)
130 EVA ss5315286038 Oct 13, 2022 (156)
131 EVA ss5377416449 Oct 13, 2022 (156)
132 HUGCELL_USP ss5471936839 Oct 13, 2022 (156)
133 1000G_HIGH_COVERAGE ss5564424243 Oct 13, 2022 (156)
134 SANFORD_IMAGENETICS ss5624677827 Oct 13, 2022 (156)
135 SANFORD_IMAGENETICS ss5644182410 Oct 13, 2022 (156)
136 TOMMO_GENOMICS ss5727176140 Oct 13, 2022 (156)
137 EVA ss5799739642 Oct 13, 2022 (156)
138 YY_MCH ss5809183367 Oct 13, 2022 (156)
139 EVA ss5823659491 Oct 13, 2022 (156)
140 EVA ss5847327873 Oct 13, 2022 (156)
141 EVA ss5856136019 Oct 13, 2022 (156)
142 EVA ss5861284341 Oct 13, 2022 (156)
143 EVA ss5973389217 Oct 13, 2022 (156)
144 EVA ss5979844671 Oct 13, 2022 (156)
145 1000Genomes NC_000007.13 - 143110762 Oct 12, 2018 (152)
146 1000Genomes_30x NC_000007.14 - 143413669 Oct 13, 2022 (156)
147 The Avon Longitudinal Study of Parents and Children NC_000007.13 - 143110762 Oct 12, 2018 (152)
148 Genome-wide autozygosity in Daghestan NC_000007.12 - 142820884 Apr 26, 2020 (154)
149 Genetic variation in the Estonian population NC_000007.13 - 143110762 Oct 12, 2018 (152)
150 The Danish reference pan genome NC_000007.13 - 143110762 Apr 26, 2020 (154)
151 gnomAD - Genomes NC_000007.14 - 143413669 Apr 26, 2021 (155)
152 Genome of the Netherlands Release 5 NC_000007.13 - 143110762 Apr 26, 2020 (154)
153 HGDP-CEPH-db Supplement 1 NC_000007.12 - 142820884 Apr 26, 2020 (154)
154 HapMap NC_000007.14 - 143413669 Apr 26, 2020 (154)
155 KOREAN population from KRGDB NC_000007.13 - 143110762 Apr 26, 2020 (154)
156 Korean Genome Project NC_000007.14 - 143413669 Apr 26, 2020 (154)
157 Northern Sweden NC_000007.13 - 143110762 Jul 13, 2019 (153)
158 The PAGE Study NC_000007.14 - 143413669 Jul 13, 2019 (153)
159 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000007.13 - 143110762 Apr 26, 2021 (155)
160 CNV burdens in cranial meningiomas NC_000007.13 - 143110762 Apr 26, 2021 (155)
161 Qatari NC_000007.13 - 143110762 Apr 26, 2020 (154)
162 SGDP_PRJ NC_000007.13 - 143110762 Apr 26, 2020 (154)
163 Siberian NC_000007.13 - 143110762 Apr 26, 2020 (154)
164 8.3KJPN NC_000007.13 - 143110762 Apr 26, 2021 (155)
165 14KJPN NC_000007.14 - 143413669 Oct 13, 2022 (156)
166 TopMed NC_000007.14 - 143413669 Apr 26, 2021 (155)
167 UK 10K study - Twins NC_000007.13 - 143110762 Oct 12, 2018 (152)
168 A Vietnamese Genetic Variation Database NC_000007.13 - 143110762 Jul 13, 2019 (153)
169 ALFA NC_000007.14 - 143413669 Apr 26, 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)
rs59677946 May 25, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss78155192, ss84694879, ss3639365726, ss3639711913 NC_000007.11:142627598:G:A NC_000007.14:143413668:G:A (self)
482712, 571911, ss112600951, ss116355999, ss167209410, ss208071532, ss212129933, ss254732632, ss279566984, ss293983170, ss479590275, ss825368881, ss1397508716, ss1712994731, ss2635177469, ss3643662881, ss3847894019 NC_000007.12:142820883:G:A NC_000007.14:143413668:G:A (self)
39585707, 22032645, 15689258, 8605551, 9829103, 23162858, 8441029, 553379, 146062, 10199303, 20617376, 5509920, 44000791, 22032645, 4904856, ss223382620, ss234204027, ss241108945, ss479594886, ss480076382, ss484593843, ss491407212, ss536722222, ss560363319, ss654776444, ss778765752, ss780798593, ss782743735, ss783479904, ss783710635, ss831995727, ss832701320, ss834225552, ss984901361, ss1075057246, ss1327527456, ss1431309050, ss1582440613, ss1619426096, ss1662420129, ss1752669095, ss1752669096, ss1805266222, ss1917823421, ss1928157373, ss1946223414, ss1959060400, ss1970838674, ss2024768328, ss2095203961, ss2152993566, ss2626871333, ss2634672373, ss2708716636, ss2711123488, ss2860231086, ss2985423757, ss3002203068, ss3022789278, ss3347890010, ss3625940397, ss3629936201, ss3629936202, ss3632575997, ss3633481221, ss3634207004, ss3635146271, ss3635146272, ss3635886339, ss3636881120, ss3637639396, ss3638729578, ss3640853562, ss3640853563, ss3644956580, ss3653325250, ss3653325251, ss3654185077, ss3669951010, ss3735156164, ss3744574601, ss3745446226, ss3745446227, ss3767280925, ss3772938931, ss3772938932, ss3785985891, ss3791259853, ss3796140092, ss3830870004, ss3838933276, ss3868600396, ss3915985464, ss3984596630, ss3985327452, ss4017364363, ss5186031484, ss5315286038, ss5377416449, ss5624677827, ss5644182410, ss5799739642, ss5823659491, ss5847327873, ss5973389217, ss5979844671 NC_000007.13:143110761:G:A NC_000007.14:143413668:G:A (self)
51950178, 279543681, 3512851, 19147688, 626649, 61013244, 604561182, 7564008347, ss2298661789, ss3026173743, ss3720887887, ss3726490340, ss3771405180, ss3810443025, ss3844390672, ss3962769687, ss4767183623, ss5275090387, ss5471936839, ss5564424243, ss5727176140, ss5809183367, ss5856136019, ss5861284341 NC_000007.14:143413668:G:A NC_000007.14:143413668:G:A (self)
ss17187758 NT_007914.13:3765966:G:A NC_000007.14:143413668:G:A (self)
ss42967786, ss66636048, ss66954844, ss67118133, ss70399573, ss70541703, ss71073881, ss75510951, ss85138818, ss104474684, ss121504498, ss153057508, ss155613541, ss159188832, ss160002655, ss169954359, ss171554531 NT_007914.15:3706384:G:A NC_000007.14:143413668:G:A (self)
23162858, ss3915985464 NC_000007.13:143110761:G:T NC_000007.14:143413668:G:T (self)
Help

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

16 citations for rs11771145
PMID Title Author Year Journal
20460622 Genome-wide analysis of genetic loci associated with Alzheimer disease. Seshadri S et al. 2010 JAMA
21460840 Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease. Hollingworth P et al. 2011 Nature genetics
24443964 Review: The genetics of Alzheimer's disease; putting flesh on the bones. Medway C et al. 2014 Neuropathology and applied neurobiology
25182741 Effect of EPHA1 genetic variation on cerebrospinal fluid and neuroimaging biomarkers in healthy, mild cognitive impairment and Alzheimer's disease cohorts. Wang HF et al. 2015 Journal of Alzheimer's disease
25188341 Genome-wide association meta-analysis of neuropathologic features of Alzheimer's disease and related dementias. Beecham GW et al. 2014 PLoS genetics
25426068 Bioenergetic dysfunction and inflammation in Alzheimer's disease: a possible connection. Wilkins HM et al. 2014 Frontiers in aging neuroscience
25668194 Examination of candidate exonic variants for association to Alzheimer disease in the Amish. D'Aoust LN et al. 2015 PloS one
26680604 Polygenic Analysis of Late-Onset Alzheimer's Disease from Mainland China. Jiao B et al. 2015 PloS one
26919393 Alzheimer's Disease Risk Polymorphisms Regulate Gene Expression in the ZCWPW1 and the CELF1 Loci. Karch CM et al. 2016 PloS one
27274215 Genes associated with Alzheimer's disease: an overview and current status. Giri M et al. 2016 Clinical interventions in aging
27313629 Modeling Alzheimer's Disease with Induced Pluripotent Stem Cells: Current Challenges and Future Concerns. Zhang W et al. 2016 Stem cells international
27340842 Evaluation of a Genetic Risk Score to Improve Risk Prediction for Alzheimer's Disease. Chouraki V et al. 2016 Journal of Alzheimer's disease
27453991 A novel approach for multi-SNP GWAS and its application in Alzheimer's disease. Bodily PM et al. 2016 BMC bioinformatics
28549481 Late onset Alzheimer's disease genetics implicates microglial pathways in disease risk. Efthymiou AG et al. 2017 Molecular neurodegeneration
31659653 ABCA7 and EphA1 Genes Polymorphisms in Late-Onset Alzheimer's Disease. Talebi M et al. 2020 Journal of molecular neuroscience
33815092 Genetic Variability in Molecular Pathways Implicated in Alzheimer's Disease: A Comprehensive Review. Vogrinc D et al. 2021 Frontiers in aging neuroscience
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