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)
- 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.
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 |
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").
DownloadStudy | 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 |
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.
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 |
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 |
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.
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 |
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 |
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#.
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: |
- | Apr 27, 2021 (155) |
229 |
CNV burdens in cranial meningiomas
Submission ignored due to conflicting rows: |
- | 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) |
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) |
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) |
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
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 |
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genomic regions, transcripts, and products
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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.
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.