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.

rs1950902

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr14:64415662 (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
A>C / A>G / A>T
Variation Type
SNV Single Nucleotide Variation
Frequency
A=0.176609 (65617/371538, ALFA)
A=0.164169 (43454/264690, TOPMED)
A=0.165411 (41232/249270, GnomAD_exome) (+ 26 more)
A=0.172932 (24234/140136, GnomAD)
A=0.166920 (20246/121292, ExAC)
A=0.15614 (12287/78690, PAGE_STUDY)
A=0.21205 (5992/28258, 14KJPN)
A=0.21492 (3602/16760, 8.3KJPN)
A=0.16846 (2191/13006, GO-ESP)
A=0.1710 (1095/6404, 1000G_30x)
A=0.1765 (884/5008, 1000G)
A=0.2167 (971/4480, Estonian)
A=0.1905 (734/3854, ALSPAC)
A=0.1842 (683/3708, TWINSUK)
A=0.2338 (685/2930, KOREAN)
A=0.1732 (361/2084, HGDP_Stanford)
A=0.1506 (285/1892, HapMap)
A=0.2260 (414/1832, Korea1K)
A=0.1294 (146/1128, Daghestan)
A=0.194 (194/998, GoNL)
A=0.450 (276/614, Vietnamese)
A=0.247 (148/600, NorthernSweden)
A=0.127 (68/534, MGP)
A=0.156 (81/518, SGDP_PRJ)
A=0.174 (53/304, FINRISK)
A=0.065 (14/216, Qatari)
A=0.08 (6/74, Ancient Sardinia)
A=0.19 (10/54, Siberian)
A=0.15 (6/40, GENOME_DK)
Clinical Significance
Reported in ClinVar
Gene : Consequence
MTHFD1 : Missense Variant
Publications
30 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 387888 A=0.176373 G=0.823627 0.032148 0.679402 0.288449 6
European Sub 330584 A=0.176727 G=0.823273 0.031484 0.67803 0.290486 0
African Sub 16556 A=0.15632 G=0.84368 0.024281 0.711645 0.264073 0
African Others Sub 594 A=0.136 G=0.864 0.013468 0.740741 0.245791 0
African American Sub 15962 A=0.15706 G=0.84294 0.024684 0.710563 0.264754 0
Asian Sub 6974 A=0.2908 G=0.7092 0.087755 0.506166 0.40608 1
East Asian Sub 5006 A=0.2695 G=0.7305 0.074311 0.535358 0.390332 0
Other Asian Sub 1968 A=0.3450 G=0.6550 0.121951 0.431911 0.446138 0
Latin American 1 Sub 1426 A=0.1438 G=0.8562 0.029453 0.741935 0.228612 2
Latin American 2 Sub 3178 A=0.1013 G=0.8987 0.012587 0.809943 0.17747 1
South Asian Sub 5226 A=0.0769 G=0.9231 0.010333 0.856487 0.13318 6
Other Sub 23944 A=0.18564 G=0.81436 0.038089 0.666806 0.295105 4


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 371538 A=0.176609 G=0.823391
Allele Frequency Aggregator European Sub 320516 A=0.176784 G=0.823216
Allele Frequency Aggregator Other Sub 22498 A=0.18557 G=0.81443
Allele Frequency Aggregator African Sub 11720 A=0.15555 G=0.84445
Allele Frequency Aggregator Asian Sub 6974 A=0.2908 G=0.7092
Allele Frequency Aggregator South Asian Sub 5226 A=0.0769 G=0.9231
Allele Frequency Aggregator Latin American 2 Sub 3178 A=0.1013 G=0.8987
Allele Frequency Aggregator Latin American 1 Sub 1426 A=0.1438 G=0.8562
TopMed Global Study-wide 264690 A=0.164169 G=0.835831
gnomAD - Exomes Global Study-wide 249270 A=0.165411 G=0.834589
gnomAD - Exomes European Sub 133278 A=0.183939 G=0.816061
gnomAD - Exomes Asian Sub 48988 A=0.17312 G=0.82688
gnomAD - Exomes American Sub 34576 A=0.09107 G=0.90893
gnomAD - Exomes African Sub 16246 A=0.15222 G=0.84778
gnomAD - Exomes Ashkenazi Jewish Sub 10066 A=0.16054 G=0.83946
gnomAD - Exomes Other Sub 6116 A=0.1632 G=0.8368
gnomAD - Genomes Global Study-wide 140136 A=0.172932 G=0.827068
gnomAD - Genomes European Sub 75904 A=0.18813 G=0.81187
gnomAD - Genomes African Sub 41990 A=0.15439 G=0.84561
gnomAD - Genomes American Sub 13650 A=0.11077 G=0.88923
gnomAD - Genomes Ashkenazi Jewish Sub 3324 A=0.1531 G=0.8469
gnomAD - Genomes East Asian Sub 3118 A=0.3499 G=0.6501
gnomAD - Genomes Other Sub 2150 A=0.1670 G=0.8330
ExAC Global Study-wide 121292 A=0.166920 G=0.833080
ExAC Europe Sub 73292 A=0.18245 G=0.81755
ExAC Asian Sub 25134 A=0.16269 G=0.83731
ExAC American Sub 11564 A=0.08725 G=0.91275
ExAC African Sub 10394 A=0.15778 G=0.84222
ExAC Other Sub 908 A=0.150 G=0.850
The PAGE Study Global Study-wide 78690 A=0.15614 G=0.84386
The PAGE Study AfricanAmerican Sub 32512 A=0.15779 G=0.84221
The PAGE Study Mexican Sub 10810 A=0.09528 G=0.90472
The PAGE Study Asian Sub 8314 A=0.2457 G=0.7543
The PAGE Study PuertoRican Sub 7916 A=0.1285 G=0.8715
The PAGE Study NativeHawaiian Sub 4534 A=0.2971 G=0.7029
The PAGE Study Cuban Sub 4230 A=0.1307 G=0.8693
The PAGE Study Dominican Sub 3828 A=0.1327 G=0.8673
The PAGE Study CentralAmerican Sub 2448 A=0.0997 G=0.9003
The PAGE Study SouthAmerican Sub 1982 A=0.0767 G=0.9233
The PAGE Study NativeAmerican Sub 1260 A=0.1484 G=0.8516
The PAGE Study SouthAsian Sub 856 A=0.089 G=0.911
14KJPN JAPANESE Study-wide 28258 A=0.21205 G=0.78795
8.3KJPN JAPANESE Study-wide 16760 A=0.21492 G=0.78508
GO Exome Sequencing Project Global Study-wide 13006 A=0.16846 G=0.83154
GO Exome Sequencing Project European American Sub 8600 A=0.1759 G=0.8241
GO Exome Sequencing Project African American Sub 4406 A=0.1539 G=0.8461
1000Genomes_30x Global Study-wide 6404 A=0.1710 G=0.8290
1000Genomes_30x African Sub 1786 A=0.1366 G=0.8634
1000Genomes_30x Europe Sub 1266 A=0.2022 G=0.7978
1000Genomes_30x South Asian Sub 1202 A=0.0740 G=0.9260
1000Genomes_30x East Asian Sub 1170 A=0.3624 G=0.6376
1000Genomes_30x American Sub 980 A=0.084 G=0.916
1000Genomes Global Study-wide 5008 A=0.1765 G=0.8235
1000Genomes African Sub 1322 A=0.1384 G=0.8616
1000Genomes East Asian Sub 1008 A=0.3552 G=0.6448
1000Genomes Europe Sub 1006 A=0.2038 G=0.7962
1000Genomes South Asian Sub 978 A=0.078 G=0.922
1000Genomes American Sub 694 A=0.089 G=0.911
Genetic variation in the Estonian population Estonian Study-wide 4480 A=0.2167 G=0.7833
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 A=0.1905 G=0.8095
UK 10K study - Twins TWIN COHORT Study-wide 3708 A=0.1842 G=0.8158
KOREAN population from KRGDB KOREAN Study-wide 2930 A=0.2338 C=0.0000, G=0.7662, T=0.0000
HGDP-CEPH-db Supplement 1 Global Study-wide 2084 A=0.1732 G=0.8268
HGDP-CEPH-db Supplement 1 Est_Asia Sub 470 A=0.304 G=0.696
HGDP-CEPH-db Supplement 1 Central_South_Asia Sub 414 A=0.118 G=0.882
HGDP-CEPH-db Supplement 1 Middle_Est Sub 350 A=0.100 G=0.900
HGDP-CEPH-db Supplement 1 Europe Sub 320 A=0.172 G=0.828
HGDP-CEPH-db Supplement 1 Africa Sub 242 A=0.178 G=0.822
HGDP-CEPH-db Supplement 1 America Sub 216 A=0.005 G=0.995
HGDP-CEPH-db Supplement 1 Oceania Sub 72 A=0.49 G=0.51
HapMap Global Study-wide 1892 A=0.1506 G=0.8494
HapMap American Sub 770 A=0.164 G=0.836
HapMap African Sub 692 A=0.107 G=0.893
HapMap Asian Sub 254 A=0.240 G=0.760
HapMap Europe Sub 176 A=0.136 G=0.864
Korean Genome Project KOREAN Study-wide 1832 A=0.2260 G=0.7740
Genome-wide autozygosity in Daghestan Global Study-wide 1128 A=0.1294 G=0.8706
Genome-wide autozygosity in Daghestan Daghestan Sub 624 A=0.147 G=0.853
Genome-wide autozygosity in Daghestan Near_East Sub 142 A=0.134 G=0.866
Genome-wide autozygosity in Daghestan Central Asia Sub 122 A=0.139 G=0.861
Genome-wide autozygosity in Daghestan Europe Sub 108 A=0.093 G=0.907
Genome-wide autozygosity in Daghestan South Asian Sub 96 A=0.07 G=0.93
Genome-wide autozygosity in Daghestan Caucasus Sub 36 A=0.03 G=0.97
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 A=0.194 G=0.806
A Vietnamese Genetic Variation Database Global Study-wide 614 A=0.450 G=0.550
Northern Sweden ACPOP Study-wide 600 A=0.247 G=0.753
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 A=0.127 G=0.873
SGDP_PRJ Global Study-wide 518 A=0.156 G=0.844
FINRISK Finnish from FINRISK project Study-wide 304 A=0.174 G=0.826
Qatari Global Study-wide 216 A=0.065 G=0.935
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 74 A=0.08 G=0.92
Siberian Global Study-wide 54 A=0.19 G=0.81
The Danish reference pan genome Danish Study-wide 40 A=0.15 G=0.85
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 14 NC_000014.9:g.64415662A>C
GRCh38.p14 chr 14 NC_000014.9:g.64415662A>G
GRCh38.p14 chr 14 NC_000014.9:g.64415662A>T
GRCh37.p13 chr 14 NC_000014.8:g.64882380A>C
GRCh37.p13 chr 14 NC_000014.8:g.64882380A>G
GRCh37.p13 chr 14 NC_000014.8:g.64882380A>T
MTHFD1 RefSeqGene (LRG_1243) NG_012450.2:g.32622A>C
MTHFD1 RefSeqGene (LRG_1243) NG_012450.2:g.32622A>G
MTHFD1 RefSeqGene (LRG_1243) NG_012450.2:g.32622A>T
Gene: MTHFD1, methylenetetrahydrofolate dehydrogenase, cyclohydrolase and formyltetrahydrofolate synthetase 1 (plus strand)
Molecule type Change Amino acid[Codon] SO Term
MTHFD1 transcript variant 1 NM_005956.4:c.401A>C K [AAA] > T [ACA] Coding Sequence Variant
C-1-tetrahydrofolate synthase, cytoplasmic isoform 1 NP_005947.3:p.Lys134Thr K (Lys) > T (Thr) Missense Variant
MTHFD1 transcript variant 1 NM_005956.4:c.401A>G K [AAA] > R [AGA] Coding Sequence Variant
C-1-tetrahydrofolate synthase, cytoplasmic isoform 1 NP_005947.3:p.Lys134Arg K (Lys) > R (Arg) Missense Variant
MTHFD1 transcript variant 1 NM_005956.4:c.401A>T K [AAA] > I [ATA] Coding Sequence Variant
C-1-tetrahydrofolate synthase, cytoplasmic isoform 1 NP_005947.3:p.Lys134Ile K (Lys) > I (Ile) Missense Variant
MTHFD1 transcript variant 2 NM_001364837.1:c.401A>C K [AAA] > T [ACA] Coding Sequence Variant
C-1-tetrahydrofolate synthase, cytoplasmic isoform 2 NP_001351766.1:p.Lys134Thr K (Lys) > T (Thr) Missense Variant
MTHFD1 transcript variant 2 NM_001364837.1:c.401A>G K [AAA] > R [AGA] Coding Sequence Variant
C-1-tetrahydrofolate synthase, cytoplasmic isoform 2 NP_001351766.1:p.Lys134Arg K (Lys) > R (Arg) Missense Variant
MTHFD1 transcript variant 2 NM_001364837.1:c.401A>T K [AAA] > I [ATA] Coding Sequence Variant
C-1-tetrahydrofolate synthase, cytoplasmic isoform 2 NP_001351766.1:p.Lys134Ile K (Lys) > I (Ile) Missense 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: G (allele ID: 390190 )
ClinVar Accession Disease Names Clinical Significance
RCV000455974.4 not specified Benign
RCV001516295.4 not provided Benign
RCV001775796.2 Combined immunodeficiency and megaloblastic anemia with or without hyperhomocysteinemia 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 A= C G T
GRCh38.p14 chr 14 NC_000014.9:g.64415662= NC_000014.9:g.64415662A>C NC_000014.9:g.64415662A>G NC_000014.9:g.64415662A>T
GRCh37.p13 chr 14 NC_000014.8:g.64882380= NC_000014.8:g.64882380A>C NC_000014.8:g.64882380A>G NC_000014.8:g.64882380A>T
MTHFD1 RefSeqGene (LRG_1243) NG_012450.2:g.32622= NG_012450.2:g.32622A>C NG_012450.2:g.32622A>G NG_012450.2:g.32622A>T
MTHFD1 transcript variant 1 NM_005956.4:c.401= NM_005956.4:c.401A>C NM_005956.4:c.401A>G NM_005956.4:c.401A>T
MTHFD1 transcript NM_005956.3:c.401= NM_005956.3:c.401A>C NM_005956.3:c.401A>G NM_005956.3:c.401A>T
MTHFD1 transcript variant 2 NM_001364837.1:c.401= NM_001364837.1:c.401A>C NM_001364837.1:c.401A>G NM_001364837.1:c.401A>T
C-1-tetrahydrofolate synthase, cytoplasmic isoform 1 NP_005947.3:p.Lys134= NP_005947.3:p.Lys134Thr NP_005947.3:p.Lys134Arg NP_005947.3:p.Lys134Ile
C-1-tetrahydrofolate synthase, cytoplasmic isoform 2 NP_001351766.1:p.Lys134= NP_001351766.1:p.Lys134Thr NP_001351766.1:p.Lys134Arg NP_001351766.1:p.Lys134Ile
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#.

207 SubSNP, 31 Frequency, 3 ClinVar submissions
No Submitter Submission ID Date (Build)
1 TSC-CSHL ss2845017 Jan 12, 2001 (92)
2 AFFX ss2982424 Jun 15, 2001 (100)
3 YUSUKE ss3239445 Sep 28, 2001 (100)
4 BCM_SSAHASNP ss10747980 Jul 11, 2003 (116)
5 WI_SSAHASNP ss14387249 Dec 05, 2003 (119)
6 CSHL-HAPMAP ss16657476 Feb 27, 2004 (120)
7 CSHL-HAPMAP ss17526847 Feb 27, 2004 (120)
8 SSAHASNP ss21201766 Apr 05, 2004 (121)
9 PERLEGEN ss24129796 Sep 20, 2004 (123)
10 MGC_GENOME_DIFF ss28508935 Sep 24, 2004 (126)
11 MGC_GENOME_DIFF ss28512362 Sep 24, 2004 (126)
12 SNP500CANCER ss48295777 Mar 10, 2006 (126)
13 APPLERA_GI ss48402353 Mar 10, 2006 (126)
14 ILLUMINA ss66707580 Dec 01, 2006 (127)
15 ILLUMINA ss67209854 Dec 01, 2006 (127)
16 ILLUMINA ss67602842 Dec 01, 2006 (127)
17 PERLEGEN ss69160025 May 17, 2007 (127)
18 ILLUMINA ss70688106 May 23, 2008 (130)
19 ILLUMINA ss71252707 May 17, 2007 (127)
20 AFFY ss74807897 Aug 16, 2007 (128)
21 ILLUMINA ss75641004 Dec 06, 2007 (129)
22 SI_EXO ss76897079 Dec 06, 2007 (129)
23 HGSV ss78646784 Dec 06, 2007 (129)
24 ILLUMINA ss79103443 Dec 14, 2007 (130)
25 KRIBB_YJKIM ss80732204 Dec 14, 2007 (130)
26 HGSV ss82088044 Dec 14, 2007 (130)
27 KRIBB_YJKIM ss83927343 Dec 14, 2007 (130)
28 HUMANGENOME_JCVI ss96864920 Feb 04, 2009 (130)
29 BGI ss103192445 Dec 01, 2009 (131)
30 1000GENOMES ss108405447 Jan 23, 2009 (130)
31 1000GENOMES ss113438333 Jan 25, 2009 (130)
32 ILLUMINA-UK ss118535873 Feb 14, 2009 (130)
33 ILLUMINA ss121863149 Dec 01, 2009 (131)
34 ENSEMBL ss137015005 Dec 01, 2009 (131)
35 ILLUMINA ss153792044 Dec 01, 2009 (131)
36 GMI ss155906227 Dec 01, 2009 (131)
37 ILLUMINA ss159343206 Dec 01, 2009 (131)
38 SEATTLESEQ ss159729419 Dec 01, 2009 (131)
39 ILLUMINA ss160480600 Dec 01, 2009 (131)
40 COMPLETE_GENOMICS ss168210797 Jul 04, 2010 (132)
41 COMPLETE_GENOMICS ss169761230 Jul 04, 2010 (132)
42 ILLUMINA ss170903098 Jul 04, 2010 (132)
43 COMPLETE_GENOMICS ss171249624 Jul 04, 2010 (132)
44 ILLUMINA ss173007009 Jul 04, 2010 (132)
45 BUSHMAN ss200183442 Jul 04, 2010 (132)
46 BCM-HGSC-SUB ss206958145 Jul 04, 2010 (132)
47 1000GENOMES ss226615454 Jul 14, 2010 (132)
48 1000GENOMES ss236575821 Jul 15, 2010 (132)
49 1000GENOMES ss243003664 Jul 15, 2010 (132)
50 ILLUMINA ss244285835 Jul 04, 2010 (132)
51 BL ss255053110 May 09, 2011 (134)
52 GMI ss282038167 May 04, 2012 (137)
53 GMI ss286857351 Apr 25, 2013 (138)
54 PJP ss291617995 May 09, 2011 (134)
55 NHLBI-ESP ss342389234 May 09, 2011 (134)
56 ILLUMINA ss480356664 May 04, 2012 (137)
57 ILLUMINA ss480368630 May 04, 2012 (137)
58 ILLUMINA ss481137809 Sep 08, 2015 (146)
59 ILLUMINA ss484975921 May 04, 2012 (137)
60 1000GENOMES ss491070503 May 04, 2012 (137)
61 EXOME_CHIP ss491486033 May 04, 2012 (137)
62 CLINSEQ_SNP ss491688801 May 04, 2012 (137)
63 ILLUMINA ss532915980 Sep 08, 2015 (146)
64 TISHKOFF ss564146851 Apr 25, 2013 (138)
65 SSMP ss659831788 Apr 25, 2013 (138)
66 ILLUMINA ss778847467 Sep 08, 2015 (146)
67 ILLUMINA ss780702117 Aug 21, 2014 (142)
68 ILLUMINA ss782934258 Sep 08, 2015 (146)
69 ILLUMINA ss783376419 Aug 21, 2014 (142)
70 ILLUMINA ss783897014 Sep 08, 2015 (146)
71 ILLUMINA ss825433961 Apr 01, 2015 (144)
72 ILLUMINA ss832189742 Sep 08, 2015 (146)
73 ILLUMINA ss832855171 Jul 13, 2019 (153)
74 ILLUMINA ss834308080 Sep 08, 2015 (146)
75 JMKIDD_LAB ss974488895 Aug 21, 2014 (142)
76 EVA-GONL ss991238711 Aug 21, 2014 (142)
77 JMKIDD_LAB ss1067546352 Aug 21, 2014 (142)
78 JMKIDD_LAB ss1079726439 Aug 21, 2014 (142)
79 1000GENOMES ss1351360111 Aug 21, 2014 (142)
80 HAMMER_LAB ss1397683156 Sep 08, 2015 (146)
81 DDI ss1427451278 Apr 01, 2015 (144)
82 EVA_GENOME_DK ss1577309793 Apr 01, 2015 (144)
83 EVA_FINRISK ss1584090238 Apr 01, 2015 (144)
84 EVA_UK10K_ALSPAC ss1631924635 Apr 01, 2015 (144)
85 EVA_UK10K_TWINSUK ss1674918668 Apr 01, 2015 (144)
86 EVA_EXAC ss1691517934 Apr 01, 2015 (144)
87 EVA_DECODE ss1695242760 Apr 01, 2015 (144)
88 EVA_MGP ss1711374922 Apr 01, 2015 (144)
89 EVA_SVP ss1713451203 Apr 01, 2015 (144)
90 ILLUMINA ss1752138432 Sep 08, 2015 (146)
91 ILLUMINA ss1752138433 Sep 08, 2015 (146)
92 HAMMER_LAB ss1807962132 Sep 08, 2015 (146)
93 ILLUMINA ss1917889534 Feb 12, 2016 (147)
94 WEILL_CORNELL_DGM ss1934613467 Feb 12, 2016 (147)
95 ILLUMINA ss1946379057 Feb 12, 2016 (147)
96 ILLUMINA ss1946379058 Feb 12, 2016 (147)
97 ILLUMINA ss1959561100 Feb 12, 2016 (147)
98 ILLUMINA ss1959561101 Feb 12, 2016 (147)
99 AMU ss1966652155 Feb 12, 2016 (147)
100 GENOMED ss1967983008 Jul 19, 2016 (147)
101 JJLAB ss2028085913 Sep 14, 2016 (149)
102 ILLUMINA ss2095051013 Dec 20, 2016 (150)
103 USC_VALOUEV ss2156462274 Dec 20, 2016 (150)
104 HUMAN_LONGEVITY ss2202719431 Dec 20, 2016 (150)
105 SYSTEMSBIOZJU ss2628533552 Nov 08, 2017 (151)
106 ILLUMINA ss2633162605 Nov 08, 2017 (151)
107 ILLUMINA ss2635052768 Nov 08, 2017 (151)
108 GRF ss2700890477 Nov 08, 2017 (151)
109 ILLUMINA ss2710802564 Nov 08, 2017 (151)
110 GNOMAD ss2740772045 Nov 08, 2017 (151)
111 GNOMAD ss2749153917 Nov 08, 2017 (151)
112 GNOMAD ss2928710531 Nov 08, 2017 (151)
113 AFFY ss2985023881 Nov 08, 2017 (151)
114 AFFY ss2985656803 Nov 08, 2017 (151)
115 SWEGEN ss3012345152 Nov 08, 2017 (151)
116 ILLUMINA ss3021577119 Nov 08, 2017 (151)
117 ILLUMINA ss3021577120 Nov 08, 2017 (151)
118 BIOINF_KMB_FNS_UNIBA ss3027868649 Nov 08, 2017 (151)
119 CSHL ss3350847961 Nov 08, 2017 (151)
120 ILLUMINA ss3625660661 Oct 12, 2018 (152)
121 ILLUMINA ss3627239552 Oct 12, 2018 (152)
122 ILLUMINA ss3627239553 Oct 12, 2018 (152)
123 ILLUMINA ss3631160158 Oct 12, 2018 (152)
124 ILLUMINA ss3633079264 Oct 12, 2018 (152)
125 ILLUMINA ss3633782808 Oct 12, 2018 (152)
126 ILLUMINA ss3634580840 Oct 12, 2018 (152)
127 ILLUMINA ss3634580841 Oct 12, 2018 (152)
128 ILLUMINA ss3635472231 Oct 12, 2018 (152)
129 ILLUMINA ss3636270494 Oct 12, 2018 (152)
130 ILLUMINA ss3637223395 Oct 12, 2018 (152)
131 ILLUMINA ss3638055412 Oct 12, 2018 (152)
132 ILLUMINA ss3639041283 Oct 12, 2018 (152)
133 ILLUMINA ss3639525360 Oct 12, 2018 (152)
134 ILLUMINA ss3640288167 Oct 12, 2018 (152)
135 ILLUMINA ss3640288168 Oct 12, 2018 (152)
136 ILLUMINA ss3641052142 Oct 12, 2018 (152)
137 ILLUMINA ss3641347192 Oct 12, 2018 (152)
138 ILLUMINA ss3643041820 Oct 12, 2018 (152)
139 ILLUMINA ss3644632174 Oct 12, 2018 (152)
140 ILLUMINA ss3644632175 Oct 12, 2018 (152)
141 OMUKHERJEE_ADBS ss3646461352 Oct 12, 2018 (152)
142 URBANLAB ss3650226669 Oct 12, 2018 (152)
143 ILLUMINA ss3651970394 Oct 12, 2018 (152)
144 ILLUMINA ss3651970395 Oct 12, 2018 (152)
145 ILLUMINA ss3653794993 Oct 12, 2018 (152)
146 EGCUT_WGS ss3679599403 Jul 13, 2019 (153)
147 EVA_DECODE ss3696854582 Jul 13, 2019 (153)
148 ILLUMINA ss3725455319 Jul 13, 2019 (153)
149 ACPOP ss3740459666 Jul 13, 2019 (153)
150 ILLUMINA ss3744123487 Jul 13, 2019 (153)
151 ILLUMINA ss3744412683 Jul 13, 2019 (153)
152 ILLUMINA ss3744881437 Jul 13, 2019 (153)
153 ILLUMINA ss3744881438 Jul 13, 2019 (153)
154 EVA ss3752430565 Jul 13, 2019 (153)
155 PAGE_CC ss3771794658 Jul 13, 2019 (153)
156 ILLUMINA ss3772380268 Jul 13, 2019 (153)
157 ILLUMINA ss3772380269 Jul 13, 2019 (153)
158 PACBIO ss3787690053 Jul 13, 2019 (153)
159 PACBIO ss3792724763 Jul 13, 2019 (153)
160 PACBIO ss3797609040 Jul 13, 2019 (153)
161 KHV_HUMAN_GENOMES ss3817763382 Jul 13, 2019 (153)
162 EVA ss3824857470 Apr 27, 2020 (154)
163 EVA ss3825847375 Apr 27, 2020 (154)
164 EVA ss3833965107 Apr 27, 2020 (154)
165 EVA ss3840575953 Apr 27, 2020 (154)
166 EVA ss3846065272 Apr 27, 2020 (154)
167 HGDP ss3847506334 Apr 27, 2020 (154)
168 SGDP_PRJ ss3881694534 Apr 27, 2020 (154)
169 KRGDB ss3930727350 Apr 27, 2020 (154)
170 KOGIC ss3975102427 Apr 27, 2020 (154)
171 FSA-LAB ss3984057809 Apr 27, 2021 (155)
172 EVA ss3984692911 Apr 27, 2021 (155)
173 EVA ss3984692912 Apr 27, 2021 (155)
174 EVA ss3985684989 Apr 27, 2021 (155)
175 EVA ss3986621591 Apr 27, 2021 (155)
176 EVA ss4017674763 Apr 27, 2021 (155)
177 TOPMED ss4973741819 Apr 27, 2021 (155)
178 TOMMO_GENOMICS ss5213634373 Apr 27, 2021 (155)
179 EVA ss5236917752 Apr 27, 2021 (155)
180 EVA ss5237226628 Apr 27, 2021 (155)
181 EVA ss5237662678 Oct 16, 2022 (156)
182 FAHOSYSU ss5240819075 Oct 16, 2022 (156)
183 1000G_HIGH_COVERAGE ss5296535447 Oct 16, 2022 (156)
184 EVA ss5315743870 Oct 16, 2022 (156)
185 EVA ss5415833905 Oct 16, 2022 (156)
186 HUGCELL_USP ss5490547425 Oct 16, 2022 (156)
187 EVA ss5511274150 Oct 16, 2022 (156)
188 1000G_HIGH_COVERAGE ss5596975649 Oct 16, 2022 (156)
189 EVA ss5623962276 Oct 16, 2022 (156)
190 EVA ss5624046010 Oct 16, 2022 (156)
191 SANFORD_IMAGENETICS ss5624346056 Oct 16, 2022 (156)
192 SANFORD_IMAGENETICS ss5656398061 Oct 16, 2022 (156)
193 TOMMO_GENOMICS ss5766552698 Oct 16, 2022 (156)
194 EVA ss5799922308 Oct 16, 2022 (156)
195 EVA ss5800066966 Oct 16, 2022 (156)
196 EVA ss5800188245 Oct 16, 2022 (156)
197 YY_MCH ss5814829738 Oct 16, 2022 (156)
198 EVA ss5841230778 Oct 16, 2022 (156)
199 EVA ss5847438767 Oct 16, 2022 (156)
200 EVA ss5848385814 Oct 16, 2022 (156)
201 EVA ss5851071223 Oct 16, 2022 (156)
202 EVA ss5901698329 Oct 16, 2022 (156)
203 EVA ss5936557618 Oct 16, 2022 (156)
204 EVA ss5947837561 Oct 16, 2022 (156)
205 EVA ss5979443460 Oct 16, 2022 (156)
206 EVA ss5980832354 Oct 16, 2022 (156)
207 EVA ss5981284972 Oct 16, 2022 (156)
208 1000Genomes NC_000014.8 - 64882380 Oct 12, 2018 (152)
209 1000Genomes_30x NC_000014.9 - 64415662 Oct 16, 2022 (156)
210 The Avon Longitudinal Study of Parents and Children NC_000014.8 - 64882380 Oct 12, 2018 (152)
211 Genome-wide autozygosity in Daghestan NC_000014.7 - 63952133 Apr 27, 2020 (154)
212 Genetic variation in the Estonian population NC_000014.8 - 64882380 Oct 12, 2018 (152)
213 ExAC NC_000014.8 - 64882380 Oct 12, 2018 (152)
214 FINRISK NC_000014.8 - 64882380 Apr 27, 2020 (154)
215 The Danish reference pan genome NC_000014.8 - 64882380 Apr 27, 2020 (154)
216 gnomAD - Genomes NC_000014.9 - 64415662 Apr 27, 2021 (155)
217 gnomAD - Exomes NC_000014.8 - 64882380 Jul 13, 2019 (153)
218 GO Exome Sequencing Project NC_000014.8 - 64882380 Oct 12, 2018 (152)
219 Genome of the Netherlands Release 5 NC_000014.8 - 64882380 Apr 27, 2020 (154)
220 HGDP-CEPH-db Supplement 1 NC_000014.7 - 63952133 Apr 27, 2020 (154)
221 HapMap NC_000014.9 - 64415662 Apr 27, 2020 (154)
222 KOREAN population from KRGDB NC_000014.8 - 64882380 Apr 27, 2020 (154)
223 Korean Genome Project NC_000014.9 - 64415662 Apr 27, 2020 (154)
224 Medical Genome Project healthy controls from Spanish population NC_000014.8 - 64882380 Apr 27, 2020 (154)
225 Northern Sweden NC_000014.8 - 64882380 Jul 13, 2019 (153)
226 The PAGE Study NC_000014.9 - 64415662 Jul 13, 2019 (153)
227 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000014.8 - 64882380 Apr 27, 2021 (155)
228 CNV burdens in cranial meningiomas

Submission ignored due to conflicting rows:
Row 242428 (NC_000014.8:64882379:A:G 544/752)
Row 242429 (NC_000014.8:64882379:A:G 550/762)

- Apr 27, 2021 (155)
229 CNV burdens in cranial meningiomas

Submission ignored due to conflicting rows:
Row 242428 (NC_000014.8:64882379:A:G 544/752)
Row 242429 (NC_000014.8:64882379:A:G 550/762)

- Apr 27, 2021 (155)
230 Qatari NC_000014.8 - 64882380 Apr 27, 2020 (154)
231 SGDP_PRJ NC_000014.8 - 64882380 Apr 27, 2020 (154)
232 Siberian NC_000014.8 - 64882380 Apr 27, 2020 (154)
233 8.3KJPN NC_000014.8 - 64882380 Apr 27, 2021 (155)
234 14KJPN NC_000014.9 - 64415662 Oct 16, 2022 (156)
235 TopMed NC_000014.9 - 64415662 Apr 27, 2021 (155)
236 UK 10K study - Twins NC_000014.8 - 64882380 Oct 12, 2018 (152)
237 A Vietnamese Genetic Variation Database NC_000014.8 - 64882380 Jul 13, 2019 (153)
238 ALFA NC_000014.9 - 64415662 Apr 27, 2021 (155)
239 ClinVar RCV000455974.4 Oct 16, 2022 (156)
240 ClinVar RCV001516295.4 Oct 16, 2022 (156)
241 ClinVar RCV001775796.2 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)
rs2070262 Sep 28, 2001 (100)
rs17854633 Mar 10, 2006 (126)
rs17858060 Mar 10, 2006 (126)
rs52808281 Sep 21, 2007 (128)
rs57359350 May 23, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
37904744, ss3930727350 NC_000014.8:64882379:A:C NC_000014.9:64415661:A:C (self)
153480, 184226, ss78646784, ss82088044, ss108405447, ss113438333, ss118535873, ss160480600, ss168210797, ss169761230, ss171249624, ss200183442, ss206958145, ss244285835, ss255053110, ss282038167, ss286857351, ss291617995, ss480356664, ss491688801, ss825433961, ss1397683156, ss1695242760, ss1713451203, ss2635052768, ss3639041283, ss3639525360, ss3643041820, ss3847506334 NC_000014.7:63952132:A:G NC_000014.9:64415661:A:G (self)
64354349, 35752403, 25337651, 1866255, 86699, 3640227, 10025281, 1314801, 15967349, 37904744, 490682, 13744531, 910916, 16655397, 33711514, 8978628, 71603680, 35752403, 7954527, ss226615454, ss236575821, ss243003664, ss342389234, ss480368630, ss481137809, ss484975921, ss491070503, ss491486033, ss532915980, ss564146851, ss659831788, ss778847467, ss780702117, ss782934258, ss783376419, ss783897014, ss832189742, ss832855171, ss834308080, ss974488895, ss991238711, ss1067546352, ss1079726439, ss1351360111, ss1427451278, ss1577309793, ss1584090238, ss1631924635, ss1674918668, ss1691517934, ss1711374922, ss1752138432, ss1752138433, ss1807962132, ss1917889534, ss1934613467, ss1946379057, ss1946379058, ss1959561100, ss1959561101, ss1966652155, ss1967983008, ss2028085913, ss2095051013, ss2156462274, ss2628533552, ss2633162605, ss2700890477, ss2710802564, ss2740772045, ss2749153917, ss2928710531, ss2985023881, ss2985656803, ss3012345152, ss3021577119, ss3021577120, ss3350847961, ss3625660661, ss3627239552, ss3627239553, ss3631160158, ss3633079264, ss3633782808, ss3634580840, ss3634580841, ss3635472231, ss3636270494, ss3637223395, ss3638055412, ss3640288167, ss3640288168, ss3641052142, ss3641347192, ss3644632174, ss3644632175, ss3646461352, ss3651970394, ss3651970395, ss3653794993, ss3679599403, ss3740459666, ss3744123487, ss3744412683, ss3744881437, ss3744881438, ss3752430565, ss3772380268, ss3772380269, ss3787690053, ss3792724763, ss3797609040, ss3824857470, ss3825847375, ss3833965107, ss3840575953, ss3881694534, ss3930727350, ss3984057809, ss3984692911, ss3984692912, ss3985684989, ss3986621591, ss4017674763, ss5213634373, ss5315743870, ss5415833905, ss5511274150, ss5623962276, ss5624046010, ss5624346056, ss5656398061, ss5799922308, ss5800066966, ss5800188245, ss5841230778, ss5847438767, ss5848385814, ss5936557618, ss5947837561, ss5979443460, ss5980832354, ss5981284972 NC_000014.8:64882379:A:G NC_000014.9:64415661:A:G (self)
RCV000455974.4, RCV001516295.4, RCV001775796.2, 84501584, 453761969, 1162971, 31480428, 1016127, 100389802, 189287478, 7876077503, ss2202719431, ss3027868649, ss3650226669, ss3696854582, ss3725455319, ss3771794658, ss3817763382, ss3846065272, ss3975102427, ss4973741819, ss5236917752, ss5237226628, ss5237662678, ss5240819075, ss5296535447, ss5490547425, ss5596975649, ss5766552698, ss5814829738, ss5851071223, ss5901698329 NC_000014.9:64415661:A:G NC_000014.9:64415661:A:G (self)
ss10747980, ss14387249, ss16657476, ss17526847, ss21201766 NT_026437.10:44802420:A:G NC_000014.9:64415661:A:G (self)
ss76897079 NT_026437.11:45882132:A:G NC_000014.9:64415661:A:G (self)
ss2845017, ss2982424, ss3239445, ss24129796, ss28508935, ss28512362, ss48295777, ss48402353, ss66707580, ss67209854, ss67602842, ss69160025, ss70688106, ss71252707, ss74807897, ss75641004, ss79103443, ss80732204, ss83927343, ss96864920, ss103192445, ss121863149, ss137015005, ss153792044, ss155906227, ss159343206, ss159729419, ss170903098, ss173007009 NT_026437.12:45882379:A:G NC_000014.9:64415661:A:G (self)
37904744, ss3930727350 NC_000014.8:64882379:A:T NC_000014.9:64415661:A:T (self)
Help

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

30 citations for rs1950902
PMID Title Author Year Journal
12384833 A polymorphism, R653Q, in the trifunctional enzyme methylenetetrahydrofolate dehydrogenase/methenyltetrahydrofolate cyclohydrolase/formyltetrahydrofolate synthetase is a maternal genetic risk factor for neural tube defects: report of the Birth Defects Research Group. Brody LC et al. 2002 American journal of human genetics
19064578 No association of single nucleotide polymorphisms in one-carbon metabolism genes with prostate cancer risk. Stevens VL et al. 2008 Cancer epidemiology, biomarkers & prevention
19376481 One-carbon metabolism and breast cancer: an epidemiological perspective. Xu X et al. 2009 Journal of genetics and genomics = Yi chuan xue bao
19493349 118 SNPs of folate-related genes and risks of spina bifida and conotruncal heart defects. Shaw GM et al. 2009 BMC medical genetics
19683694 Genetic association study of putative functional single nucleotide polymorphisms of genes in folate metabolism and spina bifida. Martinez CA et al. 2009 American journal of obstetrics and gynecology
19936946 Germline polymorphisms in the one-carbon metabolism pathway and DNA methylation in colorectal cancer. Hazra A et al. 2010 Cancer causes & control
20570913 Genetic variation in TYMS in the one-carbon transfer pathway is associated with ovarian carcinoma types in the Ovarian Cancer Association Consortium. Kelemen LE et al. 2010 Cancer epidemiology, biomarkers & prevention
20737570 Genetic variants in one-carbon metabolism-related genes contribute to NSCLC prognosis in a Chinese population. Jin G et al. 2010 Cancer
20840732 Shrunken methodology to genome-wide SNPs selection and construction of SNPs networks. Liu Y et al. 2010 BMC systems biology
21146954 Genes and abdominal aortic aneurysm. Hinterseher I et al. 2011 Annals of vascular surgery
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
21748308 Genetic variants in the folate pathway and risk of childhood acute lymphoblastic leukemia. Metayer C et al. 2011 Cancer causes & control
22103680 Folate network genetic variation, plasma homocysteine, and global genomic methylation content: a genetic association study. Wernimont SM et al. 2011 BMC medical genetics
22496743 Genetic variant of AMD1 is associated with obesity in urban Indian children. Tabassum R et al. 2012 PloS one
23446900 One-carbon metabolism factors and leukocyte telomere length. Liu JJ et al. 2013 The American journal of clinical nutrition
23940529 Roles of genetic polymorphisms in the folate pathway in childhood acute lymphoblastic leukemia evaluated by Bayesian relevance and effect size analysis. Lautner-Csorba O et al. 2013 PloS one
23946381 Genetic variants associated with colorectal cancer risk: comprehensive research synopsis, meta-analysis, and epidemiological evidence. Ma X et al. 2014 Gut
24033266 A systematic approach to assessing the clinical significance of genetic variants. Duzkale H et al. 2013 Clinical genetics
24048206 Neural tube defects, folic acid and methylation. Imbard A et al. 2013 International journal of environmental research and public health
25039261 Association study of MTHFD1 coding polymorphisms R134K and R653Q with migraine susceptibility. Sutherland HG et al. 2014 Headache
25344837 Relationships among folate, alcohol consumption, gene variants in one-carbon metabolism and p16INK4a methylation and expression in healthy breast tissues. Llanos AA et al. 2015 Carcinogenesis
25524527 Association between MTHFD1 polymorphisms and neural tube defect susceptibility. Meng J et al. 2015 Journal of the neurological sciences
30294719 Sex Differences in Genetic Associations With Longevity. Zeng Y et al. 2018 JAMA network open
31818908 Systematic meta-analyses, field synopsis and global assessment of the evidence of genetic association studies in colorectal cancer. Montazeri Z et al. 2020 Gut
31955403 Genetic variants in the folate metabolic pathway genes predict cutaneous melanoma-specific survival. Dai W et al. 2020 The British journal of dermatology
32203239 Association of genetic and epigenetic variants in one-carbon metabolism gene with folate treatment response in hyperhomocysteinaemia. Li D et al. 2020 European journal of clinical nutrition
33195260 Non-syndromic Cleft Palate: An Overview on Human Genetic and Environmental Risk Factors. Martinelli M et al. 2020 Frontiers in cell and developmental biology
35100977 Association of MTHFD1 gene polymorphisms and maternal smoking with risk of congenital heart disease: a hospital-based case-control study. Song X et al. 2022 BMC pregnancy and childbirth
35186819 Association of Maternal Dietary Habits and MTHFD1 Gene Polymorphisms With Ventricular Septal Defects in Offspring: A Case-Control Study. Song X et al. 2021 Frontiers in pediatrics
35894196 [Association of maternal MTHFD1 and MTHFD2 gene polymorphisms with congenital heart disease in offspring]. Chen Q et al. 2022 Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics
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