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dbSNP Short Genetic Variations

Welcome to the Reference SNP (rs) Report

All alleles are reported in the Forward orientation. Click on the Variant Details tab for details on Genomic Placement, Gene, and Amino Acid changes. HGVS names are in the HGVS tab.

Reference SNP (rs) Report

This page reports data for a single dbSNP Reference SNP variation (RefSNP or rs) from the new redesigned dbSNP build.
Top of the page reports a concise summary for the rs, with more specific details included in the corresponding tabs below.
All alleles are reported in the Forward orientation. Use the Genomic View to inspect the nucleotides flanking the variant, and its neighbors.
For more information see Help documentation.

rs4846049

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr1:11790308 (GRCh38.p14) Help

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

Alleles
T>A / T>G
Variation Type
SNV Single Nucleotide Variation
Frequency
T=0.363758 (96283/264690, TOPMED)
T=0.370071 (51824/140038, GnomAD)
T=0.36444 (28676/78686, PAGE_STUDY) (+ 19 more)
T=0.35333 (15652/44298, ALFA)
T=0.19824 (5602/28258, 14KJPN)
T=0.19714 (3304/16760, 8.3KJPN)
T=0.3729 (2388/6404, 1000G_30x)
T=0.3716 (1861/5008, 1000G)
T=0.3047 (1365/4480, Estonian)
T=0.3262 (1257/3854, ALSPAC)
T=0.3325 (1233/3708, TWINSUK)
T=0.1737 (509/2930, KOREAN)
T=0.1681 (308/1832, Korea1K)
T=0.330 (329/998, GoNL)
T=0.159 (123/776, PRJEB37584)
T=0.337 (202/600, NorthernSweden)
G=0.079 (42/534, MGP)
T=0.244 (121/496, SGDP_PRJ)
T=0.352 (116/330, HapMap)
T=0.394 (85/216, Qatari)
T=0.389 (84/216, Vietnamese)
T=0.29 (16/56, Siberian)
Clinical Significance
Reported in ClinVar
Gene : Consequence
MTHFR : 3 Prime UTR Variant
Publications
29 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 44298 T=0.35333 A=0.00000, G=0.64667
European Sub 30078 T=0.33413 A=0.00000, G=0.66587
African Sub 5950 T=0.5689 A=0.0000, G=0.4311
African Others Sub 190 T=0.595 A=0.000, G=0.405
African American Sub 5760 T=0.5681 A=0.0000, G=0.4319
Asian Sub 376 T=0.239 A=0.000, G=0.761
East Asian Sub 328 T=0.210 A=0.000, G=0.790
Other Asian Sub 48 T=0.44 A=0.00, G=0.56
Latin American 1 Sub 442 T=0.382 A=0.000, G=0.618
Latin American 2 Sub 4306 T=0.1935 A=0.0000, G=0.8065
South Asian Sub 84 T=0.50 A=0.00, G=0.50
Other Sub 3062 T=0.3537 A=0.0000, G=0.6463


Help

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

Download
Study Population Group Sample Size Ref Allele Alt Allele
TopMed Global Study-wide 264690 T=0.363758 G=0.636242
gnomAD - Genomes Global Study-wide 140038 T=0.370071 G=0.629929
gnomAD - Genomes European Sub 75876 T=0.32612 G=0.67388
gnomAD - Genomes African Sub 41928 T=0.50482 G=0.49518
gnomAD - Genomes American Sub 13638 T=0.24894 G=0.75106
gnomAD - Genomes Ashkenazi Jewish Sub 3320 T=0.3148 G=0.6852
gnomAD - Genomes East Asian Sub 3126 T=0.2322 G=0.7678
gnomAD - Genomes Other Sub 2150 T=0.3474 G=0.6526
The PAGE Study Global Study-wide 78686 T=0.36444 G=0.63556
The PAGE Study AfricanAmerican Sub 32506 T=0.49622 G=0.50378
The PAGE Study Mexican Sub 10808 T=0.20179 G=0.79821
The PAGE Study Asian Sub 8318 T=0.2046 G=0.7954
The PAGE Study PuertoRican Sub 7918 T=0.3420 G=0.6580
The PAGE Study NativeHawaiian Sub 4532 T=0.2624 G=0.7376
The PAGE Study Cuban Sub 4228 T=0.3271 G=0.6729
The PAGE Study Dominican Sub 3828 T=0.4075 G=0.5925
The PAGE Study CentralAmerican Sub 2450 T=0.2282 G=0.7718
The PAGE Study SouthAmerican Sub 1982 T=0.2286 G=0.7714
The PAGE Study NativeAmerican Sub 1260 T=0.3222 G=0.6778
The PAGE Study SouthAsian Sub 856 T=0.473 G=0.527
Allele Frequency Aggregator Total Global 44298 T=0.35333 A=0.00000, G=0.64667
Allele Frequency Aggregator European Sub 30078 T=0.33413 A=0.00000, G=0.66587
Allele Frequency Aggregator African Sub 5950 T=0.5689 A=0.0000, G=0.4311
Allele Frequency Aggregator Latin American 2 Sub 4306 T=0.1935 A=0.0000, G=0.8065
Allele Frequency Aggregator Other Sub 3062 T=0.3537 A=0.0000, G=0.6463
Allele Frequency Aggregator Latin American 1 Sub 442 T=0.382 A=0.000, G=0.618
Allele Frequency Aggregator Asian Sub 376 T=0.239 A=0.000, G=0.761
Allele Frequency Aggregator South Asian Sub 84 T=0.50 A=0.00, G=0.50
14KJPN JAPANESE Study-wide 28258 T=0.19824 G=0.80176
8.3KJPN JAPANESE Study-wide 16760 T=0.19714 G=0.80286
1000Genomes_30x Global Study-wide 6404 T=0.3729 G=0.6271
1000Genomes_30x African Sub 1786 T=0.5319 G=0.4681
1000Genomes_30x Europe Sub 1266 T=0.3175 G=0.6825
1000Genomes_30x South Asian Sub 1202 T=0.4958 G=0.5042
1000Genomes_30x East Asian Sub 1170 T=0.2214 G=0.7786
1000Genomes_30x American Sub 980 T=0.185 G=0.815
1000Genomes Global Study-wide 5008 T=0.3716 G=0.6284
1000Genomes African Sub 1322 T=0.5250 G=0.4750
1000Genomes East Asian Sub 1008 T=0.2262 G=0.7738
1000Genomes Europe Sub 1006 T=0.3231 G=0.6769
1000Genomes South Asian Sub 978 T=0.495 G=0.505
1000Genomes American Sub 694 T=0.187 G=0.813
Genetic variation in the Estonian population Estonian Study-wide 4480 T=0.3047 G=0.6953
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 T=0.3262 G=0.6738
UK 10K study - Twins TWIN COHORT Study-wide 3708 T=0.3325 G=0.6675
KOREAN population from KRGDB KOREAN Study-wide 2930 T=0.1737 A=0.0000, G=0.8263
Korean Genome Project KOREAN Study-wide 1832 T=0.1681 G=0.8319
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 T=0.330 G=0.670
CNV burdens in cranial meningiomas Global Study-wide 776 T=0.159 G=0.841
CNV burdens in cranial meningiomas CRM Sub 776 T=0.159 G=0.841
Northern Sweden ACPOP Study-wide 600 T=0.337 G=0.663
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 T=0.921 G=0.079
SGDP_PRJ Global Study-wide 496 T=0.244 G=0.756
HapMap Global Study-wide 330 T=0.352 G=0.648
HapMap African Sub 120 T=0.458 G=0.542
HapMap American Sub 120 T=0.375 G=0.625
HapMap Asian Sub 90 T=0.18 G=0.82
Qatari Global Study-wide 216 T=0.394 G=0.606
A Vietnamese Genetic Variation Database Global Study-wide 216 T=0.389 G=0.611
Siberian Global Study-wide 56 T=0.29 G=0.71
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 1 NC_000001.11:g.11790308T>A
GRCh38.p14 chr 1 NC_000001.11:g.11790308T>G
GRCh37.p13 chr 1 NC_000001.10:g.11850365T>A
GRCh37.p13 chr 1 NC_000001.10:g.11850365T>G
MTHFR RefSeqGene (LRG_726) NG_013351.1:g.20796A>T
MTHFR RefSeqGene (LRG_726) NG_013351.1:g.20796A>C
Gene: MTHFR, methylenetetrahydrofolate reductase (minus strand)
Molecule type Change Amino acid[Codon] SO Term
MTHFR transcript variant 2 NM_005957.5:c.*372= N/A 3 Prime UTR Variant
MTHFR transcript variant 1 NM_001330358.2:c.*372= N/A 3 Prime UTR Variant
MTHFR transcript variant X1 XM_011541495.4:c.*372= N/A 3 Prime UTR Variant
MTHFR transcript variant X1 XM_011541496.4:c.*232= N/A 3 Prime UTR Variant
MTHFR transcript variant X2 XM_047421174.1:c.*232= N/A 3 Prime UTR Variant
MTHFR transcript variant X3 XM_005263462.5:c.*372= N/A 3 Prime UTR Variant
MTHFR transcript variant X4 XM_047421178.1:c.*372= N/A 3 Prime UTR Variant
MTHFR transcript variant X5 XM_017001328.3:c.*372= N/A 3 Prime UTR Variant
MTHFR transcript variant X6 XM_047421179.1:c.*232= N/A 3 Prime UTR Variant
MTHFR transcript variant X7 XM_047421180.1:c.*372= N/A 3 Prime UTR Variant
MTHFR transcript variant X8 XM_047421181.1:c.*372= N/A 3 Prime UTR Variant
MTHFR transcript variant X9 XM_005263463.5:c.*372= N/A 3 Prime UTR Variant
Help

Clinical Significance tab shows a list of clinical significance entries from ClinVar associated with the variation, per allele. Click on the RCV accession (i.e. RCV000001615.2) or Allele ID (i.e. 12274) to access full ClinVar report.

Allele: G (allele ID: 276753 )
ClinVar Accession Disease Names Clinical Significance
RCV001523551.3 Homocystinuria due to methylene tetrahydrofolate reductase deficiency 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 T= A G
GRCh38.p14 chr 1 NC_000001.11:g.11790308= NC_000001.11:g.11790308T>A NC_000001.11:g.11790308T>G
GRCh37.p13 chr 1 NC_000001.10:g.11850365= NC_000001.10:g.11850365T>A NC_000001.10:g.11850365T>G
MTHFR RefSeqGene (LRG_726) NG_013351.1:g.20796= NG_013351.1:g.20796A>T NG_013351.1:g.20796A>C
MTHFR transcript variant 2 NM_005957.5:c.*372= NM_005957.5:c.*372A>T NM_005957.5:c.*372A>C
MTHFR transcript variant 2 NM_005957.4:c.*372= NM_005957.4:c.*372A>T NM_005957.4:c.*372A>C
MTHFR transcript variant 1 NM_001330358.2:c.*372= NM_001330358.2:c.*372A>T NM_001330358.2:c.*372A>C
MTHFR transcript variant 1 NM_001330358.1:c.*372= NM_001330358.1:c.*372A>T NM_001330358.1:c.*372A>C
MTHFR transcript variant 3 NM_001410750.1:c.*372= NM_001410750.1:c.*372A>T NM_001410750.1:c.*372A>C
MTHFR transcript variant X3 XM_005263462.5:c.*372= XM_005263462.5:c.*372A>T XM_005263462.5:c.*372A>C
MTHFR transcript variant X4 XM_005263462.4:c.*372= XM_005263462.4:c.*372A>T XM_005263462.4:c.*372A>C
MTHFR transcript variant X6 XM_005263462.3:c.*372= XM_005263462.3:c.*372A>T XM_005263462.3:c.*372A>C
MTHFR transcript variant X5 XM_005263462.2:c.*372= XM_005263462.2:c.*372A>T XM_005263462.2:c.*372A>C
MTHFR transcript variant X5 XM_005263462.1:c.*372= XM_005263462.1:c.*372A>T XM_005263462.1:c.*372A>C
MTHFR transcript variant X9 XM_005263463.5:c.*372= XM_005263463.5:c.*372A>T XM_005263463.5:c.*372A>C
MTHFR transcript variant X6 XM_005263463.4:c.*372= XM_005263463.4:c.*372A>T XM_005263463.4:c.*372A>C
MTHFR transcript variant X7 XM_005263463.3:c.*372= XM_005263463.3:c.*372A>T XM_005263463.3:c.*372A>C
MTHFR transcript variant X7 XM_005263463.2:c.*372= XM_005263463.2:c.*372A>T XM_005263463.2:c.*372A>C
MTHFR transcript variant X6 XM_005263463.1:c.*372= XM_005263463.1:c.*372A>T XM_005263463.1:c.*372A>C
MTHFR transcript variant X1 XM_011541495.4:c.*372= XM_011541495.4:c.*372A>T XM_011541495.4:c.*372A>C
MTHFR transcript variant X1 XM_011541496.4:c.*232= XM_011541496.4:c.*232A>T XM_011541496.4:c.*232A>C
MTHFR transcript variant X2 XM_011541496.3:c.*232= XM_011541496.3:c.*232A>T XM_011541496.3:c.*232A>C
MTHFR transcript variant X3 XM_011541496.2:c.*232= XM_011541496.2:c.*232A>T XM_011541496.2:c.*232A>C
MTHFR transcript variant X3 XM_011541496.1:c.*232= XM_011541496.1:c.*232A>T XM_011541496.1:c.*232A>C
MTHFR transcript variant X5 XM_017001328.3:c.*372= XM_017001328.3:c.*372A>T XM_017001328.3:c.*372A>C
MTHFR transcript variant X4 XM_047421178.1:c.*372= XM_047421178.1:c.*372A>T XM_047421178.1:c.*372A>C
MTHFR transcript variant X2 XM_047421174.1:c.*232= XM_047421174.1:c.*232A>T XM_047421174.1:c.*232A>C
MTHFR transcript variant X7 XM_047421180.1:c.*372= XM_047421180.1:c.*372A>T XM_047421180.1:c.*372A>C
MTHFR transcript variant X8 XM_047421181.1:c.*372= XM_047421181.1:c.*372A>T XM_047421181.1:c.*372A>C
MTHFR transcript variant X6 XM_047421179.1:c.*232= XM_047421179.1:c.*232A>T XM_047421179.1:c.*232A>C
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#.

104 SubSNP, 22 Frequency, 1 ClinVar submissions
No Submitter Submission ID Date (Build)
1 WI_SSAHASNP ss6694418 Feb 20, 2003 (111)
2 BCM_SSAHASNP ss9821127 Jul 11, 2003 (116)
3 SC_SNP ss15391532 Feb 27, 2004 (120)
4 CSHL-HAPMAP ss16452425 Feb 27, 2004 (120)
5 SSAHASNP ss20519280 Apr 05, 2004 (121)
6 PERLEGEN ss23162564 Sep 20, 2004 (123)
7 KRIBB_YJKIM ss65838683 Nov 30, 2006 (127)
8 EGP_SNPS ss66859415 Nov 30, 2006 (127)
9 EGP_SNPS ss70457147 May 17, 2007 (127)
10 CGM_KYOTO ss76875032 Dec 06, 2007 (129)
11 BCMHGSC_JDW ss87223163 Mar 23, 2008 (129)
12 HUMANGENOME_JCVI ss97919655 Feb 03, 2009 (130)
13 BGI ss105121469 Dec 01, 2009 (131)
14 1000GENOMES ss107994535 Jan 22, 2009 (130)
15 1000GENOMES ss110061756 Jan 24, 2009 (130)
16 ENSEMBL ss131644284 Dec 01, 2009 (131)
17 ENSEMBL ss137797983 Dec 01, 2009 (131)
18 GMI ss154641443 Dec 01, 2009 (131)
19 ILLUMINA ss160719089 Dec 01, 2009 (131)
20 COMPLETE_GENOMICS ss163078967 Jul 04, 2010 (132)
21 COMPLETE_GENOMICS ss163832327 Jul 04, 2010 (132)
22 COMPLETE_GENOMICS ss166100205 Jul 04, 2010 (132)
23 BUSHMAN ss198024734 Jul 04, 2010 (132)
24 BCM-HGSC-SUB ss205123462 Jul 04, 2010 (132)
25 1000GENOMES ss218238407 Jul 14, 2010 (132)
26 1000GENOMES ss230427610 Jul 14, 2010 (132)
27 1000GENOMES ss238142807 Jul 15, 2010 (132)
28 ILLUMINA ss244301701 Jul 04, 2010 (132)
29 BL ss252918137 May 09, 2011 (134)
30 GMI ss275715258 May 04, 2012 (137)
31 GMI ss284001281 Apr 25, 2013 (138)
32 PJP ss290623941 May 09, 2011 (134)
33 ILLUMINA ss410765830 Sep 17, 2011 (135)
34 ILLUMINA ss482084844 May 04, 2012 (137)
35 ILLUMINA ss482087193 Sep 08, 2015 (146)
36 ILLUMINA ss483744899 May 04, 2012 (137)
37 TISHKOFF ss553801667 Apr 25, 2013 (138)
38 SSMP ss647577729 Apr 25, 2013 (138)
39 ILLUMINA ss782316001 Sep 08, 2015 (146)
40 EVA-GONL ss974860099 Aug 21, 2014 (142)
41 JMKIDD_LAB ss1067672493 Aug 21, 2014 (142)
42 1000GENOMES ss1289700921 Aug 21, 2014 (142)
43 DDI ss1425713650 Apr 01, 2015 (144)
44 EVA_DECODE ss1584218236 Apr 01, 2015 (144)
45 EVA_UK10K_ALSPAC ss1599557435 Apr 01, 2015 (144)
46 EVA_UK10K_TWINSUK ss1642551468 Apr 01, 2015 (144)
47 EVA_MGP ss1710888332 Apr 01, 2015 (144)
48 HAMMER_LAB ss1793911286 Sep 08, 2015 (146)
49 WEILL_CORNELL_DGM ss1918059993 Feb 12, 2016 (147)
50 ILLUMINA ss1958241665 Feb 12, 2016 (147)
51 GENOMED ss1966685437 Jul 19, 2016 (147)
52 JJLAB ss2019543864 Sep 14, 2016 (149)
53 USC_VALOUEV ss2147541908 Dec 20, 2016 (150)
54 HUMAN_LONGEVITY ss2160086062 Dec 20, 2016 (150)
55 SYSTEMSBIOZJU ss2624288320 Nov 08, 2017 (151)
56 GRF ss2697438481 Nov 08, 2017 (151)
57 SWEGEN ss2986303380 Nov 08, 2017 (151)
58 ILLUMINA ss3021054721 Nov 08, 2017 (151)
59 BIOINF_KMB_FNS_UNIBA ss3023536199 Nov 08, 2017 (151)
60 CSHL ss3343319549 Nov 08, 2017 (151)
61 ILLUMINA ss3635983160 Oct 11, 2018 (152)
62 OMUKHERJEE_ADBS ss3646221371 Oct 11, 2018 (152)
63 URBANLAB ss3646600847 Oct 11, 2018 (152)
64 ILLUMINA ss3651378675 Oct 11, 2018 (152)
65 EGCUT_WGS ss3654404203 Jul 12, 2019 (153)
66 EVA_DECODE ss3686172648 Jul 12, 2019 (153)
67 ILLUMINA ss3724996771 Jul 12, 2019 (153)
68 ACPOP ss3726794150 Jul 12, 2019 (153)
69 EVA ss3745835013 Jul 12, 2019 (153)
70 PAGE_CC ss3770785788 Jul 12, 2019 (153)
71 PACBIO ss3783325567 Jul 12, 2019 (153)
72 PACBIO ss3788999801 Jul 12, 2019 (153)
73 PACBIO ss3793872543 Jul 12, 2019 (153)
74 KHV_HUMAN_GENOMES ss3798855361 Jul 12, 2019 (153)
75 EVA ss3825553516 Apr 25, 2020 (154)
76 EVA ss3826025651 Apr 25, 2020 (154)
77 EVA ss3836399861 Apr 25, 2020 (154)
78 EVA ss3841804024 Apr 25, 2020 (154)
79 SGDP_PRJ ss3848203139 Apr 25, 2020 (154)
80 KRGDB ss3893088499 Apr 25, 2020 (154)
81 KOGIC ss3943834872 Apr 25, 2020 (154)
82 FSA-LAB ss3983916079 Apr 25, 2021 (155)
83 FSA-LAB ss3983916080 Apr 25, 2021 (155)
84 EVA ss3984452188 Apr 25, 2021 (155)
85 EVA ss3986008491 Apr 25, 2021 (155)
86 GNOMAD ss3988404319 Apr 25, 2021 (155)
87 TOPMED ss4439374673 Apr 25, 2021 (155)
88 TOMMO_GENOMICS ss5142497592 Apr 25, 2021 (155)
89 1000G_HIGH_COVERAGE ss5241193072 Oct 12, 2022 (156)
90 EVA ss5314593287 Oct 12, 2022 (156)
91 EVA ss5316780962 Oct 12, 2022 (156)
92 HUGCELL_USP ss5442395262 Oct 12, 2022 (156)
93 EVA ss5505767136 Oct 12, 2022 (156)
94 1000G_HIGH_COVERAGE ss5512958717 Oct 12, 2022 (156)
95 SANFORD_IMAGENETICS ss5624196549 Oct 12, 2022 (156)
96 SANFORD_IMAGENETICS ss5624934371 Oct 12, 2022 (156)
97 TOMMO_GENOMICS ss5666807196 Oct 12, 2022 (156)
98 EVA ss5800045420 Oct 12, 2022 (156)
99 YY_MCH ss5800327098 Oct 12, 2022 (156)
100 EVA ss5831546315 Oct 12, 2022 (156)
101 EVA ss5848785570 Oct 12, 2022 (156)
102 EVA ss5907062703 Oct 12, 2022 (156)
103 EVA ss5936761290 Oct 12, 2022 (156)
104 EVA ss5979933658 Oct 12, 2022 (156)
105 1000Genomes NC_000001.10 - 11850365 Oct 11, 2018 (152)
106 1000Genomes_30x NC_000001.11 - 11790308 Oct 12, 2022 (156)
107 The Avon Longitudinal Study of Parents and Children NC_000001.10 - 11850365 Oct 11, 2018 (152)
108 Genetic variation in the Estonian population NC_000001.10 - 11850365 Oct 11, 2018 (152)
109 gnomAD - Genomes NC_000001.11 - 11790308 Apr 25, 2021 (155)
110 Genome of the Netherlands Release 5 NC_000001.10 - 11850365 Apr 25, 2020 (154)
111 HapMap NC_000001.11 - 11790308 Apr 25, 2020 (154)
112 KOREAN population from KRGDB NC_000001.10 - 11850365 Apr 25, 2020 (154)
113 Korean Genome Project NC_000001.11 - 11790308 Apr 25, 2020 (154)
114 Medical Genome Project healthy controls from Spanish population NC_000001.10 - 11850365 Apr 25, 2020 (154)
115 Northern Sweden NC_000001.10 - 11850365 Jul 12, 2019 (153)
116 The PAGE Study NC_000001.11 - 11790308 Jul 12, 2019 (153)
117 CNV burdens in cranial meningiomas NC_000001.10 - 11850365 Apr 25, 2021 (155)
118 Qatari NC_000001.10 - 11850365 Apr 25, 2020 (154)
119 SGDP_PRJ NC_000001.10 - 11850365 Apr 25, 2020 (154)
120 Siberian NC_000001.10 - 11850365 Apr 25, 2020 (154)
121 8.3KJPN NC_000001.10 - 11850365 Apr 25, 2021 (155)
122 14KJPN NC_000001.11 - 11790308 Oct 12, 2022 (156)
123 TopMed NC_000001.11 - 11790308 Apr 25, 2021 (155)
124 UK 10K study - Twins NC_000001.10 - 11850365 Oct 11, 2018 (152)
125 A Vietnamese Genetic Variation Database NC_000001.10 - 11850365 Jul 12, 2019 (153)
126 ALFA NC_000001.11 - 11790308 Apr 25, 2021 (155)
127 ClinVar RCV001523551.3 Oct 12, 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).

Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
265893, ss3893088499 NC_000001.10:11850364:T:A NC_000001.11:11790307:T:A (self)
5774231274 NC_000001.11:11790307:T:A NC_000001.11:11790307:T:A (self)
ss87223163, ss107994535, ss110061756, ss163078967, ss163832327, ss166100205, ss198024734, ss205123462, ss252918137, ss275715258, ss284001281, ss290623941, ss482084844, ss1584218236 NC_000001.9:11772951:T:G NC_000001.11:11790307:T:G (self)
377634, 196860, 142451, 83842, 265893, 5084, 79015, 1488, 101923, 220119, 58262, 466899, 196860, 41157, ss218238407, ss230427610, ss238142807, ss482087193, ss483744899, ss553801667, ss647577729, ss782316001, ss974860099, ss1067672493, ss1289700921, ss1425713650, ss1599557435, ss1642551468, ss1710888332, ss1793911286, ss1918059993, ss1958241665, ss1966685437, ss2019543864, ss2147541908, ss2624288320, ss2697438481, ss2986303380, ss3021054721, ss3343319549, ss3635983160, ss3646221371, ss3651378675, ss3654404203, ss3726794150, ss3745835013, ss3783325567, ss3788999801, ss3793872543, ss3825553516, ss3826025651, ss3836399861, ss3848203139, ss3893088499, ss3983916079, ss3983916080, ss3984452188, ss3986008491, ss5142497592, ss5314593287, ss5316780962, ss5505767136, ss5624196549, ss5624934371, ss5800045420, ss5831546315, ss5936761290, ss5979933658 NC_000001.10:11850364:T:G NC_000001.11:11790307:T:G (self)
RCV001523551.3, 484652, 2627873, 14045, 212873, 7257, 644300, 2981008, 5774231274, ss2160086062, ss3023536199, ss3646600847, ss3686172648, ss3724996771, ss3770785788, ss3798855361, ss3841804024, ss3943834872, ss3988404319, ss4439374673, ss5241193072, ss5442395262, ss5512958717, ss5666807196, ss5800327098, ss5848785570, ss5907062703 NC_000001.11:11790307:T:G NC_000001.11:11790307:T:G (self)
ss9821127 NT_021937.15:2362298:T:G NC_000001.11:11790307:T:G (self)
ss15391532, ss16452425, ss20519280 NT_021937.16:5977423:T:G NC_000001.11:11790307:T:G (self)
ss6694418, ss23162564, ss65838683, ss66859415, ss70457147, ss76875032, ss97919655, ss105121469, ss131644284, ss137797983, ss154641443, ss160719089, ss244301701, ss410765830 NT_021937.19:7855096:T:G NC_000001.11:11790307:T:G (self)
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Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.

29 citations for rs4846049
PMID Title Author Year Journal
19593234 Association analyses suggest multiple interaction effects of the methylenetetrahydrofolate reductase polymorphisms on timing of menarche and natural menopause in white women. Liu P et al. 2010 Menopause (New York, N.Y.)
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
20056627 Genetic variability in the MTHFR gene and colorectal cancer risk using the colorectal cancer family registry. Levine AJ et al. 2010 Cancer epidemiology, biomarkers & prevention
20556870 CLIA-tested genetic variants on commercial SNP arrays: potential for incidental findings in genome-wide association studies. Johnson AD et al. 2010 Genetics in medicine
20962791 Methylenetetrahydrofolate reductase gene polymorphisms and cerebral palsy in Chinese infants. Cheng X et al. 2011 Journal of human genetics
21448238 Meta-analysis of genome-wide association for migraine in six population-based European cohorts. Ligthart L et al. 2011 European journal of human genetics
21515602 Association of the 5-aminoimidazole-4-carboxamide ribonucleotide transformylase gene with response to methotrexate in juvenile idiopathic arthritis. Hinks A et al. 2011 Annals of the rheumatic diseases
22100073 Blood pressure loci identified with a gene-centric array. Johnson T et al. 2011 American journal of human genetics
22647417 The human MTHFR rs4846049 polymorphism increases coronary heart disease risk through modifying miRNA binding. Wu C et al. 2013 Nutrition, metabolism, and cardiovascular diseases
23227261 Folate metabolism gene 5,10-methylenetetrahydrofolate reductase (MTHFR) is associated with ADHD in myelomeningocele patients. Spellicy CJ et al. 2012 PloS one
24315498 Synergistic association of DNA repair relevant gene polymorphisms with the risk of coronary artery disease in northeastern Han Chinese. Yu X et al. 2014 Thrombosis research
24391914 Association of impulsivity and polymorphic microRNA-641 target sites in the SNAP-25 gene. Németh N et al. 2013 PloS one
24991086 Novel insights into miRNA in lung and heart inflammatory diseases. Kishore A et al. 2014 Mediators of inflammation
25723397 Association of blood lead levels with methylenetetrahydrofolate reductase polymorphisms among Chinese pregnant women in Wuhan city. Shen W et al. 2015 PloS one
25882505 Women who deliver twins are more likely to smoke and have high frequencies of specific SNPs: Results from a sample of African-American women who delivered preterm, low birth weight babies. Huang H et al. 2015 American journal of human biology
26046315 Genetic variants in 3'-UTRs of methylenetetrahydrofolate reductase (MTHFR) predict colorectal cancer susceptibility in Koreans. Jeon YJ et al. 2015 Scientific reports
26690224 A Meta-Analysis of the Association between Polymorphisms in MicroRNAs and Risk of Ischemic Stroke. Xiao Y et al. 2015 Genes
27454313 Association of miR-146a, miR-149, miR-196a2, and miR-499 Polymorphisms with Ossification of the Posterior Longitudinal Ligament of the Cervical Spine. Lim JJ et al. 2016 PloS one
28657672 Genetic variants in 3'-UTRs of MTHFR in the pregnancies complicated with preeclampsia and bioinformatics analysis. Mohammadpour-Gharehbagh A et al. 2018 Journal of cellular biochemistry
28722783 The association of the placental MTHFR 3'-UTR polymorphisms, promoter methylation, and MTHFR expression with preeclampsia. Mohammadpour-Gharehbagh A et al. 2018 Journal of cellular biochemistry
28963520 Interplay between 3'-UTR polymorphisms in the methylenetetrahydrofolate reductase (MTHFR) gene and the risk of ischemic stroke. Kim JO et al. 2017 Scientific reports
29379315 The rs4846049 polymorphism in the 3'UTR region of the MTHFR gene increases the migraine susceptibility in an Iranian population. Salehi M et al. 2018 Journal of pain research
31469255 A genome-wide association and replication study of blood pressure in Ugandan early adolescents. Lule SA et al. 2019 Molecular genetics & genomic medicine
31637880 MicroRNA-binding site polymorphisms and risk of colorectal cancer: A systematic review and meta-analysis. Gholami M et al. 2019 Cancer medicine
31737664 Rs4846049 Polymorphism at the 3'-UTR of MTHFR Gene: Association with Susceptibility to Childhood Acute Lymphoblastic Leukemia. Li X et al. 2019 BioMed research international
32117640 Single nucleotide polymorphism of MTHFR rs1801133 associated with elevated Hcy levels affects susceptibility to cerebral small vessel disease. Yuan H et al. 2020 PeerJ
32791502 Genetic Variants in One-Carbon Metabolism Pathway Predict Survival Outcomes of Early-Stage Non-Small Cell Lung Cancer. Do SK et al. 2020 Oncology
33223666 Interaction Between Methylenetetrahydrofolate Reductase (MTHFR) Gene Polymorphisms and Environment with Susceptibility to Ischemic Stroke in Chinese Population. Zheng XZ et al. 2020 Annals of Indian Academy of Neurology
34027569 Folate metabolizing gene polymorphisms and genetic vulnerability to preterm birth in Korean women. Kwon BN et al. 2021 Genes & genomics
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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