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.

rs2511989

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr11:57610852 (GRCh38.p14) Help

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

Alleles
C>T
Variation Type
SNV Single Nucleotide Variation
Frequency
T=0.385145 (101944/264690, TOPMED)
T=0.392674 (54965/139976, GnomAD)
T=0.39763 (34265/86174, ALFA) (+ 21 more)
T=0.35834 (28199/78694, PAGE_STUDY)
T=0.15033 (4248/28258, 14KJPN)
T=0.14954 (2506/16758, 8.3KJPN)
T=0.3385 (2168/6404, 1000G_30x)
T=0.3339 (1672/5008, 1000G)
T=0.3714 (1664/4480, Estonian)
T=0.4242 (1635/3854, ALSPAC)
T=0.4248 (1575/3708, TWINSUK)
T=0.1549 (454/2930, KOREAN)
T=0.2802 (584/2084, HGDP_Stanford)
T=0.3444 (651/1890, HapMap)
T=0.1550 (284/1832, Korea1K)
T=0.438 (437/998, GoNL)
T=0.331 (207/626, Chileans)
T=0.337 (202/600, NorthernSweden)
C=0.416 (114/274, SGDP_PRJ)
T=0.394 (85/216, Qatari)
T=0.39 (28/72, Ancient Sardinia)
T=0.45 (18/40, GENOME_DK)
C=0.50 (9/18, Siberian)
T=0.50 (9/18, Siberian)
Clinical Significance
Reported in ClinVar
Gene : Consequence
SERPING1 : Intron Variant
Publications
15 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 86268 C=0.60244 T=0.39756
European Sub 66430 C=0.59535 T=0.40465
African Sub 8268 C=0.5813 T=0.4187
African Others Sub 266 C=0.571 T=0.429
African American Sub 8002 C=0.5816 T=0.4184
Asian Sub 272 C=0.816 T=0.184
East Asian Sub 198 C=0.823 T=0.177
Other Asian Sub 74 C=0.80 T=0.20
Latin American 1 Sub 398 C=0.616 T=0.384
Latin American 2 Sub 3386 C=0.6952 T=0.3048
South Asian Sub 4962 C=0.6330 T=0.3670
Other Sub 2552 C=0.6481 T=0.3519


Help

Frequency tab displays a table of the reference and alternate allele frequencies reported by various studies and populations. Table lines, where Population="Global" refer to the entire study population, whereas lines, where Group="Sub", refer to a study-specific population subgroupings (i.e. AFR, CAU, etc.), if available. Frequency for the alternate allele (Alt Allele) is a ratio of samples observed-to-total, where the numerator (observed samples) is the number of chromosomes in the study with the minor allele present (found in "Sample size", where Group="Sub"), and the denominator (total samples) is the total number of all chromosomes in the study for the variant (found in "Sample size", where Group="Study-wide" and Population="Global").

Download
Study Population Group Sample Size Ref Allele Alt Allele
TopMed Global Study-wide 264690 C=0.614855 T=0.385145
gnomAD - Genomes Global Study-wide 139976 C=0.607326 T=0.392674
gnomAD - Genomes European Sub 75816 C=0.59585 T=0.40415
gnomAD - Genomes African Sub 41922 C=0.58044 T=0.41956
gnomAD - Genomes American Sub 13636 C=0.65672 T=0.34328
gnomAD - Genomes Ashkenazi Jewish Sub 3324 C=0.7452 T=0.2548
gnomAD - Genomes East Asian Sub 3128 C=0.8724 T=0.1276
gnomAD - Genomes Other Sub 2150 C=0.6242 T=0.3758
Allele Frequency Aggregator Total Global 86174 C=0.60237 T=0.39763
Allele Frequency Aggregator European Sub 66354 C=0.59526 T=0.40474
Allele Frequency Aggregator African Sub 8268 C=0.5813 T=0.4187
Allele Frequency Aggregator South Asian Sub 4962 C=0.6330 T=0.3670
Allele Frequency Aggregator Latin American 2 Sub 3386 C=0.6952 T=0.3048
Allele Frequency Aggregator Other Sub 2534 C=0.6484 T=0.3516
Allele Frequency Aggregator Latin American 1 Sub 398 C=0.616 T=0.384
Allele Frequency Aggregator Asian Sub 272 C=0.816 T=0.184
The PAGE Study Global Study-wide 78694 C=0.64166 T=0.35834
The PAGE Study AfricanAmerican Sub 32514 C=0.57846 T=0.42154
The PAGE Study Mexican Sub 10808 C=0.69254 T=0.30746
The PAGE Study Asian Sub 8318 C=0.8553 T=0.1447
The PAGE Study PuertoRican Sub 7916 C=0.6014 T=0.3986
The PAGE Study NativeHawaiian Sub 4534 C=0.6877 T=0.3123
The PAGE Study Cuban Sub 4230 C=0.6061 T=0.3939
The PAGE Study Dominican Sub 3826 C=0.6077 T=0.3923
The PAGE Study CentralAmerican Sub 2450 C=0.6861 T=0.3139
The PAGE Study SouthAmerican Sub 1982 C=0.6645 T=0.3355
The PAGE Study NativeAmerican Sub 1260 C=0.6151 T=0.3849
The PAGE Study SouthAsian Sub 856 C=0.639 T=0.361
14KJPN JAPANESE Study-wide 28258 C=0.84967 T=0.15033
8.3KJPN JAPANESE Study-wide 16758 C=0.85046 T=0.14954
1000Genomes_30x Global Study-wide 6404 C=0.6615 T=0.3385
1000Genomes_30x African Sub 1786 C=0.6036 T=0.3964
1000Genomes_30x Europe Sub 1266 C=0.5861 T=0.4139
1000Genomes_30x South Asian Sub 1202 C=0.6223 T=0.3777
1000Genomes_30x East Asian Sub 1170 C=0.8598 T=0.1402
1000Genomes_30x American Sub 980 C=0.676 T=0.324
1000Genomes Global Study-wide 5008 C=0.6661 T=0.3339
1000Genomes African Sub 1322 C=0.5983 T=0.4017
1000Genomes East Asian Sub 1008 C=0.8611 T=0.1389
1000Genomes Europe Sub 1006 C=0.5934 T=0.4066
1000Genomes South Asian Sub 978 C=0.624 T=0.376
1000Genomes American Sub 694 C=0.677 T=0.323
Genetic variation in the Estonian population Estonian Study-wide 4480 C=0.6286 T=0.3714
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 C=0.5758 T=0.4242
UK 10K study - Twins TWIN COHORT Study-wide 3708 C=0.5752 T=0.4248
KOREAN population from KRGDB KOREAN Study-wide 2930 C=0.8451 T=0.1549
HGDP-CEPH-db Supplement 1 Global Study-wide 2084 C=0.7198 T=0.2802
HGDP-CEPH-db Supplement 1 Est_Asia Sub 470 C=0.887 T=0.113
HGDP-CEPH-db Supplement 1 Central_South_Asia Sub 414 C=0.691 T=0.309
HGDP-CEPH-db Supplement 1 Middle_Est Sub 350 C=0.643 T=0.357
HGDP-CEPH-db Supplement 1 Europe Sub 320 C=0.591 T=0.409
HGDP-CEPH-db Supplement 1 Africa Sub 242 C=0.583 T=0.417
HGDP-CEPH-db Supplement 1 America Sub 216 C=0.861 T=0.139
HGDP-CEPH-db Supplement 1 Oceania Sub 72 C=0.78 T=0.22
HapMap Global Study-wide 1890 C=0.6556 T=0.3444
HapMap American Sub 770 C=0.656 T=0.344
HapMap African Sub 690 C=0.594 T=0.406
HapMap Asian Sub 254 C=0.846 T=0.154
HapMap Europe Sub 176 C=0.619 T=0.381
Korean Genome Project KOREAN Study-wide 1832 C=0.8450 T=0.1550
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 C=0.562 T=0.438
Chileans Chilean Study-wide 626 C=0.669 T=0.331
Northern Sweden ACPOP Study-wide 600 C=0.663 T=0.337
SGDP_PRJ Global Study-wide 274 C=0.416 T=0.584
Qatari Global Study-wide 216 C=0.606 T=0.394
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 72 C=0.61 T=0.39
The Danish reference pan genome Danish Study-wide 40 C=0.55 T=0.45
Siberian Global Study-wide 18 C=0.50 T=0.50
Help

Variant Details tab shows known variant placements on genomic sequences: chromosomes (NC_), RefSeqGene, pseudogenes or genomic regions (NG_), and in a separate table: on transcripts (NM_) and protein sequences (NP_). The corresponding transcript and protein locations are listed in adjacent lines, along with molecular consequences from Sequence Ontology. When no protein placement is available, only the transcript is listed. Column "Codon[Amino acid]" shows the actual base change in the format of "Reference > Alternate" allele, including the nucleotide codon change in transcripts, and the amino acid change in proteins, respectively, allowing for known ribosomal slippage sites. To view nucleotides adjacent to the variant use the Genomic View at the bottom of the page - zoom into the sequence until the nucleotides around the variant become visible.

Genomic Placements
Sequence name Change
GRCh38.p14 chr 11 NC_000011.10:g.57610852C>T
GRCh37.p13 chr 11 NC_000011.9:g.57378325C>T
SERPING1 RefSeqGene (LRG_105) NG_009625.1:g.18299C>T
Gene: SERPING1, serpin family G member 1 (plus strand)
Molecule type Change Amino acid[Codon] SO Term
SERPING1 transcript variant 1 NM_000062.3:c.1030-865C>T N/A Intron Variant
SERPING1 transcript variant 2 NM_001032295.2:c.1030-865…

NM_001032295.2:c.1030-865C>T

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: T (allele ID: 971326 )
ClinVar Accession Disease Names Clinical Significance
RCV001263115.1 Hereditary angioedema type 1 Benign
Help

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

Placement C= T
GRCh38.p14 chr 11 NC_000011.10:g.57610852= NC_000011.10:g.57610852C>T
GRCh37.p13 chr 11 NC_000011.9:g.57378325= NC_000011.9:g.57378325C>T
SERPING1 RefSeqGene (LRG_105) NG_009625.1:g.18299= NG_009625.1:g.18299C>T
SERPING1 transcript variant 1 NM_000062.2:c.1030-865= NM_000062.2:c.1030-865C>T
SERPING1 transcript variant 1 NM_000062.3:c.1030-865= NM_000062.3:c.1030-865C>T
SERPING1 transcript variant 2 NM_001032295.1:c.1030-865= NM_001032295.1:c.1030-865C>T
SERPING1 transcript variant 2 NM_001032295.2:c.1030-865= NM_001032295.2:c.1030-865C>T
SERPING1 transcript variant X1 XM_005274204.1:c.1045-865= XM_005274204.1:c.1045-865C>T
SERPING1 transcript variant X2 XM_005274205.1:c.1030-865= XM_005274205.1:c.1030-865C>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#.

109 SubSNP, 23 Frequency, 1 ClinVar submissions
No Submitter Submission ID Date (Build)
1 SC_JCM ss3521711 Sep 28, 2001 (100)
2 SC_SNP ss15913751 Feb 27, 2004 (120)
3 PERLEGEN ss23741447 Sep 20, 2004 (123)
4 ABI ss39990690 Mar 13, 2006 (126)
5 ILLUMINA ss67258553 Nov 30, 2006 (127)
6 ILLUMINA ss67657304 Nov 30, 2006 (127)
7 ILLUMINA ss68206556 Dec 12, 2006 (127)
8 PERLEGEN ss69318162 May 17, 2007 (127)
9 ILLUMINA ss70736925 May 23, 2008 (130)
10 ILLUMINA ss71307243 May 17, 2007 (127)
11 ILLUMINA ss75531461 Dec 06, 2007 (129)
12 AFFY ss76731292 Dec 08, 2007 (130)
13 HGSV ss78425315 Dec 06, 2007 (129)
14 KRIBB_YJKIM ss84055311 Dec 14, 2007 (130)
15 BCMHGSC_JDW ss88602336 Mar 23, 2008 (129)
16 HUMANGENOME_JCVI ss97481336 Feb 04, 2009 (130)
17 1000GENOMES ss110518060 Jan 24, 2009 (130)
18 1000GENOMES ss114654666 Jan 25, 2009 (130)
19 ILLUMINA-UK ss119850995 Dec 01, 2009 (131)
20 ENSEMBL ss132573655 Dec 01, 2009 (131)
21 ENSEMBL ss143803173 Dec 01, 2009 (131)
22 ILLUMINA ss153917118 Dec 01, 2009 (131)
23 GMI ss156351834 Dec 01, 2009 (131)
24 ILLUMINA ss159394847 Dec 01, 2009 (131)
25 COMPLETE_GENOMICS ss168422356 Jul 04, 2010 (132)
26 COMPLETE_GENOMICS ss169987988 Jul 04, 2010 (132)
27 ILLUMINA ss173375993 Jul 04, 2010 (132)
28 COMPLETE_GENOMICS ss175146251 Jul 04, 2010 (132)
29 BUSHMAN ss202752557 Jul 04, 2010 (132)
30 1000GENOMES ss225260422 Jul 14, 2010 (132)
31 1000GENOMES ss235574524 Jul 15, 2010 (132)
32 1000GENOMES ss242202789 Jul 15, 2010 (132)
33 ILLUMINA ss244290882 Jul 04, 2010 (132)
34 GMI ss281023897 May 04, 2012 (137)
35 GMI ss286388805 Apr 25, 2013 (138)
36 PJP ss291052394 May 09, 2011 (134)
37 ILLUMINA ss537099030 Sep 08, 2015 (146)
38 TISHKOFF ss562580817 Apr 25, 2013 (138)
39 SSMP ss658088513 Apr 25, 2013 (138)
40 ILLUMINA ss832906581 Jul 13, 2019 (153)
41 EVA-GONL ss988557572 Aug 21, 2014 (142)
42 JMKIDD_LAB ss1077756493 Aug 21, 2014 (142)
43 1000GENOMES ss1341407906 Aug 21, 2014 (142)
44 DDI ss1426644420 Apr 01, 2015 (144)
45 EVA_GENOME_DK ss1575734726 Apr 01, 2015 (144)
46 EVA_DECODE ss1598220313 Apr 01, 2015 (144)
47 EVA_UK10K_ALSPAC ss1626660377 Apr 01, 2015 (144)
48 EVA_UK10K_TWINSUK ss1669654410 Apr 01, 2015 (144)
49 EVA_SVP ss1713256759 Apr 01, 2015 (144)
50 HAMMER_LAB ss1806831740 Sep 08, 2015 (146)
51 WEILL_CORNELL_DGM ss1931917763 Feb 12, 2016 (147)
52 ILLUMINA ss1959350770 Feb 12, 2016 (147)
53 GENOMED ss1967370196 Jul 19, 2016 (147)
54 JJLAB ss2026705739 Sep 14, 2016 (149)
55 USC_VALOUEV ss2155007334 Dec 20, 2016 (150)
56 HUMAN_LONGEVITY ss2182610498 Dec 20, 2016 (150)
57 SYSTEMSBIOZJU ss2627825273 Nov 08, 2017 (151)
58 GRF ss2699294945 Nov 08, 2017 (151)
59 GNOMAD ss2900030437 Nov 08, 2017 (151)
60 AFFY ss2984943012 Nov 08, 2017 (151)
61 AFFY ss2985587331 Nov 08, 2017 (151)
62 SWEGEN ss3008150077 Nov 08, 2017 (151)
63 ILLUMINA ss3021337522 Nov 08, 2017 (151)
64 BIOINF_KMB_FNS_UNIBA ss3027151680 Nov 08, 2017 (151)
65 CSHL ss3349617383 Nov 08, 2017 (151)
66 ILLUMINA ss3626664152 Oct 12, 2018 (152)
67 ILLUMINA ss3637908096 Oct 12, 2018 (152)
68 ILLUMINA ss3638969034 Oct 12, 2018 (152)
69 ILLUMINA ss3639795731 Oct 12, 2018 (152)
70 ILLUMINA ss3642906445 Oct 12, 2018 (152)
71 ILLUMINA ss3643847859 Oct 12, 2018 (152)
72 URBANLAB ss3649618876 Oct 12, 2018 (152)
73 ILLUMINA ss3651701486 Oct 12, 2018 (152)
74 ILLUMINA ss3653715300 Oct 12, 2018 (152)
75 EGCUT_WGS ss3675489416 Jul 13, 2019 (153)
76 EVA_DECODE ss3691852121 Jul 13, 2019 (153)
77 ILLUMINA ss3725242305 Jul 13, 2019 (153)
78 ACPOP ss3738209684 Jul 13, 2019 (153)
79 EVA ss3749337696 Jul 13, 2019 (153)
80 PAGE_CC ss3771625426 Jul 13, 2019 (153)
81 PACBIO ss3786963565 Jul 13, 2019 (153)
82 PACBIO ss3792104154 Jul 13, 2019 (153)
83 PACBIO ss3796986497 Jul 13, 2019 (153)
84 KHV_HUMAN_GENOMES ss3814683844 Jul 13, 2019 (153)
85 EVA ss3832646420 Apr 26, 2020 (154)
86 EVA ss3839881018 Apr 26, 2020 (154)
87 EVA ss3845360200 Apr 26, 2020 (154)
88 HGDP ss3847419454 Apr 26, 2020 (154)
89 SGDP_PRJ ss3876328240 Apr 26, 2020 (154)
90 KRGDB ss3924681056 Apr 26, 2020 (154)
91 KOGIC ss3969957374 Apr 26, 2020 (154)
92 EVA ss3985535669 Apr 26, 2021 (155)
93 EVA ss4017539009 Apr 26, 2021 (155)
94 TOPMED ss4886398124 Apr 26, 2021 (155)
95 TOMMO_GENOMICS ss5202125743 Apr 26, 2021 (155)
96 1000G_HIGH_COVERAGE ss5287534506 Oct 16, 2022 (156)
97 EVA ss5399782371 Oct 16, 2022 (156)
98 HUGCELL_USP ss5482703087 Oct 16, 2022 (156)
99 1000G_HIGH_COVERAGE ss5583318736 Oct 16, 2022 (156)
100 SANFORD_IMAGENETICS ss5624275386 Oct 16, 2022 (156)
101 SANFORD_IMAGENETICS ss5651291892 Oct 16, 2022 (156)
102 TOMMO_GENOMICS ss5750045804 Oct 16, 2022 (156)
103 YY_MCH ss5812443823 Oct 16, 2022 (156)
104 EVA ss5836706693 Oct 16, 2022 (156)
105 EVA ss5847391405 Oct 16, 2022 (156)
106 EVA ss5849992732 Oct 16, 2022 (156)
107 EVA ss5920108377 Oct 16, 2022 (156)
108 EVA ss5942604195 Oct 16, 2022 (156)
109 EVA ss5979359298 Oct 16, 2022 (156)
110 1000Genomes NC_000011.9 - 57378325 Oct 12, 2018 (152)
111 1000Genomes_30x NC_000011.10 - 57610852 Oct 16, 2022 (156)
112 The Avon Longitudinal Study of Parents and Children NC_000011.9 - 57378325 Oct 12, 2018 (152)
113 Chileans NC_000011.9 - 57378325 Apr 26, 2020 (154)
114 Genetic variation in the Estonian population NC_000011.9 - 57378325 Oct 12, 2018 (152)
115 The Danish reference pan genome NC_000011.9 - 57378325 Apr 26, 2020 (154)
116 gnomAD - Genomes NC_000011.10 - 57610852 Apr 26, 2021 (155)
117 Genome of the Netherlands Release 5 NC_000011.9 - 57378325 Apr 26, 2020 (154)
118 HGDP-CEPH-db Supplement 1 NC_000011.8 - 57134901 Apr 26, 2020 (154)
119 HapMap NC_000011.10 - 57610852 Apr 26, 2020 (154)
120 KOREAN population from KRGDB NC_000011.9 - 57378325 Apr 26, 2020 (154)
121 Korean Genome Project NC_000011.10 - 57610852 Apr 26, 2020 (154)
122 Northern Sweden NC_000011.9 - 57378325 Jul 13, 2019 (153)
123 The PAGE Study NC_000011.10 - 57610852 Jul 13, 2019 (153)
124 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000011.9 - 57378325 Apr 26, 2021 (155)
125 Qatari NC_000011.9 - 57378325 Apr 26, 2020 (154)
126 SGDP_PRJ NC_000011.9 - 57378325 Apr 26, 2020 (154)
127 Siberian NC_000011.9 - 57378325 Apr 26, 2020 (154)
128 8.3KJPN NC_000011.9 - 57378325 Apr 26, 2021 (155)
129 14KJPN NC_000011.10 - 57610852 Oct 16, 2022 (156)
130 TopMed NC_000011.10 - 57610852 Apr 26, 2021 (155)
131 UK 10K study - Twins NC_000011.9 - 57378325 Oct 12, 2018 (152)
132 ALFA NC_000011.10 - 57610852 Apr 26, 2021 (155)
133 ClinVar RCV001263115.1 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)
rs56451052 May 23, 2008 (130)
rs57180821 May 23, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
97346, ss78425315, ss88602336, ss110518060, ss114654666, ss119850995, ss168422356, ss169987988, ss175146251, ss202752557, ss281023897, ss286388805, ss291052394, ss1598220313, ss1713256759, ss3638969034, ss3639795731, ss3642906445, ss3643847859, ss3847419454 NC_000011.8:57134900:C:T NC_000011.10:57610851:C:T (self)
53934936, 29951294, 76154, 21227664, 2582343, 13367484, 31858450, 11494549, 761596, 13959693, 28345220, 7523688, 60095050, 29951294, ss225260422, ss235574524, ss242202789, ss537099030, ss562580817, ss658088513, ss832906581, ss988557572, ss1077756493, ss1341407906, ss1426644420, ss1575734726, ss1626660377, ss1669654410, ss1806831740, ss1931917763, ss1959350770, ss1967370196, ss2026705739, ss2155007334, ss2627825273, ss2699294945, ss2900030437, ss2984943012, ss2985587331, ss3008150077, ss3021337522, ss3349617383, ss3626664152, ss3637908096, ss3651701486, ss3653715300, ss3675489416, ss3738209684, ss3749337696, ss3786963565, ss3792104154, ss3796986497, ss3832646420, ss3839881018, ss3876328240, ss3924681056, ss3985535669, ss4017539009, ss5202125743, ss5399782371, ss5624275386, ss5651291892, ss5836706693, ss5847391405, ss5942604195, ss5979359298 NC_000011.9:57378324:C:T NC_000011.10:57610851:C:T (self)
RCV001263115.1, 70844671, 380687340, 617914, 26335375, 846895, 83882908, 101943780, 6707770413, ss2182610498, ss3027151680, ss3649618876, ss3691852121, ss3725242305, ss3771625426, ss3814683844, ss3845360200, ss3969957374, ss4886398124, ss5287534506, ss5482703087, ss5583318736, ss5750045804, ss5812443823, ss5849992732, ss5920108377 NC_000011.10:57610851:C:T NC_000011.10:57610851:C:T (self)
ss15913751 NT_033903.6:2551366:C:T NC_000011.10:57610851:C:T (self)
ss3521711, ss23741447, ss39990690, ss67258553, ss67657304, ss68206556, ss69318162, ss70736925, ss71307243, ss75531461, ss76731292, ss84055311, ss97481336, ss132573655, ss143803173, ss153917118, ss156351834, ss159394847, ss173375993, ss244290882 NT_167190.1:2684119:C:T NC_000011.10:57610851:C:T (self)
Help

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

15 citations for rs2511989
PMID Title Author Year Journal
18842294 Association between the SERPING1 gene and age-related macular degeneration: a two-stage case-control study. Ennis S et al. 2008 Lancet (London, England)
19026761 Molecular pathology of age-related macular degeneration. Ding X et al. 2009 Progress in retinal and eye research
19169411 Common variation in the SERPING1 gene is not associated with age-related macular degeneration in two independent groups of subjects. Park KH et al. 2009 Molecular vision
19607829 Localization of complement 1 inhibitor (C1INH/SERPING1) in human eyes with age-related macular degeneration. Mullins RF et al. 2009 Experimental eye research
20062564 An association study of SERPING1 gene and age-related macular degeneration in a Han Chinese population. Lu F et al. 2010 Molecular vision
20161815 SERPING1 polymorphisms in polypoidal choroidal vasculopathy. Li M et al. 2010 Molecular vision
20606025 The effect of genetic variants in SERPING1 on the risk of neovascular age-related macular degeneration. Lee AY et al. 2010 The British journal of ophthalmology
21609242 Age-related macular degeneration-susceptibility single nucleotide polymorphisms in a han chinese control population. Hu J et al. 2011 Ophthalmic epidemiology
22509112 Genetic associations in polypoidal choroidal vasculopathy: a systematic review and meta-analysis. Chen H et al. 2012 Molecular vision
24675670 Impact of the common genetic associations of age-related macular degeneration upon systemic complement component C3d levels. Ristau T et al. 2014 PloS one
24860613 Genetic risk, ethnic variations and pharmacogenetic biomarkers in age-related macular degeneration and polypoidal choroidal vasculopathy. Kuo JZ et al. 2013 Expert review of ophthalmology
25800435 Ethnic differences in the association of SERPING1 with age-related macular degeneration and polypoidal choroidal vasculopathy. Liu K et al. 2015 Scientific reports
26493033 Complement pathway biomarkers and age-related macular degeneration. Gemenetzi M et al. 2016 Eye (London, England)
29700787 Exploring the Use of Molecular Biomarkers for Precision Medicine in Age-Related Macular Degeneration. Lorés-Motta L et al. 2018 Molecular diagnosis & therapy
34750590 The effect of systemic levels of TNF-alpha and complement pathway activity on outcomes of VEGF inhibition in neovascular AMD. Khan AH et al. 2022 Eye (London, England)
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