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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.

rs1979277

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr17:18328782 (GRCh38.p14) Help

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

Alleles
G>A / G>T
Variation Type
SNV Single Nucleotide Variation
Frequency
A=0.297008 (78615/264690, TOPMED)
A=0.268191 (58787/219198, GnomAD_exome)
A=0.313692 (43910/139978, GnomAD) (+ 21 more)
A=0.30938 (22967/74236, ALFA)
A=0.37272 (23302/62518, ExAC)
A=0.08652 (2445/28258, 14KJPN)
A=0.08831 (1480/16760, 8.3KJPN)
A=0.31480 (4093/13002, GO-ESP)
A=0.2330 (1492/6404, 1000G_30x)
A=0.2278 (1141/5008, 1000G)
A=0.3269 (1260/3854, ALSPAC)
A=0.3136 (1163/3708, TWINSUK)
A=0.1037 (303/2922, KOREAN)
A=0.311 (310/998, GoNL)
A=0.035 (28/792, PRJEB37584)
A=0.272 (163/600, NorthernSweden)
A=0.242 (129/534, MGP)
A=0.293 (96/328, HapMap)
A=0.322 (87/270, FINRISK)
G=0.424 (95/224, SGDP_PRJ)
A=0.227 (49/216, Qatari)
A=0.15 (6/40, GENOME_DK)
G=0.50 (14/28, Siberian)
A=0.50 (14/28, Siberian)
Clinical Significance
Reported in ClinVar
Gene : Consequence
SHMT1 : Missense Variant
Publications
57 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 89892 G=0.69037 A=0.30963, T=0.00000
European Sub 62684 G=0.68620 A=0.31380, T=0.00000
African Sub 9880 G=0.6675 A=0.3325, T=0.0000
African Others Sub 356 G=0.629 A=0.371, T=0.000
African American Sub 9524 G=0.6689 A=0.3311, T=0.0000
Asian Sub 220 G=0.936 A=0.064, T=0.000
East Asian Sub 154 G=0.935 A=0.065, T=0.000
Other Asian Sub 66 G=0.94 A=0.06, T=0.00
Latin American 1 Sub 892 G=0.722 A=0.278, T=0.000
Latin American 2 Sub 4704 G=0.7619 A=0.2381, T=0.0000
South Asian Sub 160 G=0.838 A=0.163, T=0.000
Other Sub 11352 G=0.69433 A=0.30567, T=0.00000


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 G=0.702992 A=0.297008
gnomAD - Exomes Global Study-wide 219198 G=0.731809 A=0.268191
gnomAD - Exomes European Sub 113972 G=0.687704 A=0.312296
gnomAD - Exomes Asian Sub 44978 G=0.85649 A=0.14351
gnomAD - Exomes American Sub 31636 G=0.76558 A=0.23442
gnomAD - Exomes African Sub 13584 G=0.66659 A=0.33341
gnomAD - Exomes Ashkenazi Jewish Sub 9430 G=0.6635 A=0.3365
gnomAD - Exomes Other Sub 5598 G=0.7104 A=0.2896
gnomAD - Genomes Global Study-wide 139978 G=0.686308 A=0.313692
gnomAD - Genomes European Sub 75832 G=0.68231 A=0.31769
gnomAD - Genomes African Sub 41912 G=0.65397 A=0.34603
gnomAD - Genomes American Sub 13634 G=0.75363 A=0.24637
gnomAD - Genomes Ashkenazi Jewish Sub 3322 G=0.6737 A=0.3263
gnomAD - Genomes East Asian Sub 3130 G=0.9252 A=0.0748
gnomAD - Genomes Other Sub 2148 G=0.7025 A=0.2975
Allele Frequency Aggregator Total Global 74236 G=0.69062 A=0.30938, T=0.00000
Allele Frequency Aggregator European Sub 53172 G=0.68378 A=0.31622, T=0.00000
Allele Frequency Aggregator Other Sub 9978 G=0.6937 A=0.3063, T=0.0000
Allele Frequency Aggregator African Sub 5110 G=0.6695 A=0.3305, T=0.0000
Allele Frequency Aggregator Latin American 2 Sub 4704 G=0.7619 A=0.2381, T=0.0000
Allele Frequency Aggregator Latin American 1 Sub 892 G=0.722 A=0.278, T=0.000
Allele Frequency Aggregator Asian Sub 220 G=0.936 A=0.064, T=0.000
Allele Frequency Aggregator South Asian Sub 160 G=0.838 A=0.163, T=0.000
ExAC Global Study-wide 62518 G=0.62728 A=0.37272
ExAC Europe Sub 36822 G=0.57286 A=0.42714
ExAC Asian Sub 14346 G=0.79067 A=0.20933
ExAC African Sub 6080 G=0.5862 A=0.4138
ExAC American Sub 4760 G=0.6059 A=0.3941
ExAC Other Sub 510 G=0.649 A=0.351
14KJPN JAPANESE Study-wide 28258 G=0.91348 A=0.08652
8.3KJPN JAPANESE Study-wide 16760 G=0.91169 A=0.08831
GO Exome Sequencing Project Global Study-wide 13002 G=0.68520 A=0.31480
GO Exome Sequencing Project European American Sub 8596 G=0.6966 A=0.3034
GO Exome Sequencing Project African American Sub 4406 G=0.6630 A=0.3370
1000Genomes_30x Global Study-wide 6404 G=0.7670 A=0.2330
1000Genomes_30x African Sub 1786 G=0.6657 A=0.3343
1000Genomes_30x Europe Sub 1266 G=0.6912 A=0.3088
1000Genomes_30x South Asian Sub 1202 G=0.8511 A=0.1489
1000Genomes_30x East Asian Sub 1170 G=0.9444 A=0.0556
1000Genomes_30x American Sub 980 G=0.735 A=0.265
1000Genomes Global Study-wide 5008 G=0.7722 A=0.2278
1000Genomes African Sub 1322 G=0.6687 A=0.3313
1000Genomes East Asian Sub 1008 G=0.9395 A=0.0605
1000Genomes Europe Sub 1006 G=0.6918 A=0.3082
1000Genomes South Asian Sub 978 G=0.852 A=0.148
1000Genomes American Sub 694 G=0.731 A=0.269
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 G=0.6731 A=0.3269
UK 10K study - Twins TWIN COHORT Study-wide 3708 G=0.6864 A=0.3136
KOREAN population from KRGDB KOREAN Study-wide 2922 G=0.8963 A=0.1037
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 G=0.689 A=0.311
CNV burdens in cranial meningiomas Global Study-wide 792 G=0.965 A=0.035
CNV burdens in cranial meningiomas CRM Sub 792 G=0.965 A=0.035
Northern Sweden ACPOP Study-wide 600 G=0.728 A=0.272
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 G=0.758 A=0.242
HapMap Global Study-wide 328 G=0.707 A=0.293
HapMap African Sub 120 G=0.567 A=0.433
HapMap American Sub 120 G=0.667 A=0.333
HapMap Asian Sub 88 G=0.95 A=0.05
FINRISK Finnish from FINRISK project Study-wide 270 G=0.678 A=0.322
SGDP_PRJ Global Study-wide 224 G=0.424 A=0.576
Qatari Global Study-wide 216 G=0.773 A=0.227
The Danish reference pan genome Danish Study-wide 40 G=0.85 A=0.15
Siberian Global Study-wide 28 G=0.50 A=0.50
Help

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

Genomic Placements
Sequence name Change
GRCh38.p14 chr 17 NC_000017.11:g.18328782G>A
GRCh38.p14 chr 17 NC_000017.11:g.18328782G>T
GRCh37.p13 chr 17 NC_000017.10:g.18232096G>A
GRCh37.p13 chr 17 NC_000017.10:g.18232096G>T
SHMT1 RefSeqGene NG_017111.1:g.39761C>T
SHMT1 RefSeqGene NG_017111.1:g.39761C>A
GRCh38.p14 chr 17 novel patch HSCHR17_3_CTG1 NW_017363819.1:g.89156G>A
GRCh38.p14 chr 17 novel patch HSCHR17_3_CTG1 NW_017363819.1:g.89156G>T
Gene: SHMT1, serine hydroxymethyltransferase 1 (minus strand)
Molecule type Change Amino acid[Codon] SO Term
SHMT1 transcript variant 1 NM_004169.5:c.1420C>T L [CTC] > F [TTC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform 1 NP_004160.3:p.Leu474Phe L (Leu) > F (Phe) Missense Variant
SHMT1 transcript variant 1 NM_004169.5:c.1420C>A L [CTC] > I [ATC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform 1 NP_004160.3:p.Leu474Ile L (Leu) > I (Ile) Missense Variant
SHMT1 transcript variant 2 NM_148918.3:c.1303C>T L [CTC] > F [TTC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform 2 NP_683718.1:p.Leu435Phe L (Leu) > F (Phe) Missense Variant
SHMT1 transcript variant 2 NM_148918.3:c.1303C>A L [CTC] > I [ATC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform 2 NP_683718.1:p.Leu435Ile L (Leu) > I (Ile) Missense Variant
SHMT1 transcript variant 3 NM_001281786.2:c.1006C>T L [CTC] > F [TTC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform 3 NP_001268715.1:p.Leu336Phe L (Leu) > F (Phe) Missense Variant
SHMT1 transcript variant 3 NM_001281786.2:c.1006C>A L [CTC] > I [ATC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform 3 NP_001268715.1:p.Leu336Ile L (Leu) > I (Ile) Missense Variant
SHMT1 transcript variant X1 XM_005256767.4:c.1420C>T L [CTC] > F [TTC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform X1 XP_005256824.1:p.Leu474Phe L (Leu) > F (Phe) Missense Variant
SHMT1 transcript variant X1 XM_005256767.4:c.1420C>A L [CTC] > I [ATC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform X1 XP_005256824.1:p.Leu474Ile L (Leu) > I (Ile) Missense Variant
SHMT1 transcript variant X2 XM_017024957.2:c.1420C>T L [CTC] > F [TTC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform X1 XP_016880446.1:p.Leu474Phe L (Leu) > F (Phe) Missense Variant
SHMT1 transcript variant X2 XM_017024957.2:c.1420C>A L [CTC] > I [ATC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform X1 XP_016880446.1:p.Leu474Ile L (Leu) > I (Ile) Missense Variant
SHMT1 transcript variant X3 XM_017024958.2:c.1303C>T L [CTC] > F [TTC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform X2 XP_016880447.1:p.Leu435Phe L (Leu) > F (Phe) Missense Variant
SHMT1 transcript variant X3 XM_017024958.2:c.1303C>A L [CTC] > I [ATC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform X2 XP_016880447.1:p.Leu435Ile L (Leu) > I (Ile) Missense Variant
SHMT1 transcript variant X4 XM_047436545.1:c.1303C>T L [CTC] > F [TTC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform X2 XP_047292501.1:p.Leu435Phe L (Leu) > F (Phe) Missense Variant
SHMT1 transcript variant X4 XM_047436545.1:c.1303C>A L [CTC] > I [ATC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform X2 XP_047292501.1:p.Leu435Ile L (Leu) > I (Ile) Missense Variant
SHMT1 transcript variant X5 XM_011523992.4:c.1180C>T L [CTC] > F [TTC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform X3 XP_011522294.1:p.Leu394Phe L (Leu) > F (Phe) Missense Variant
SHMT1 transcript variant X5 XM_011523992.4:c.1180C>A L [CTC] > I [ATC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform X3 XP_011522294.1:p.Leu394Ile L (Leu) > I (Ile) Missense Variant
SHMT1 transcript variant X6 XM_024450887.2:c.1180C>T L [CTC] > F [TTC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform X3 XP_024306655.1:p.Leu394Phe L (Leu) > F (Phe) Missense Variant
SHMT1 transcript variant X6 XM_024450887.2:c.1180C>A L [CTC] > I [ATC] Coding Sequence Variant
serine hydroxymethyltransferase, cytosolic isoform X3 XP_024306655.1:p.Leu394Ile L (Leu) > 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: A (allele ID: 167454 )
ClinVar Accession Disease Names Clinical Significance
RCV000144920.1 Gastrointestinal stromal tumor Uncertain-Significance
Help

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

Placement G= A T
GRCh38.p14 chr 17 NC_000017.11:g.18328782= NC_000017.11:g.18328782G>A NC_000017.11:g.18328782G>T
GRCh37.p13 chr 17 NC_000017.10:g.18232096= NC_000017.10:g.18232096G>A NC_000017.10:g.18232096G>T
SHMT1 RefSeqGene NG_017111.1:g.39761= NG_017111.1:g.39761C>T NG_017111.1:g.39761C>A
SHMT1 transcript variant 1 NM_004169.5:c.1420= NM_004169.5:c.1420C>T NM_004169.5:c.1420C>A
SHMT1 transcript variant 1 NM_004169.4:c.1420= NM_004169.4:c.1420C>T NM_004169.4:c.1420C>A
SHMT1 transcript variant 1 NM_004169.3:c.1420= NM_004169.3:c.1420C>T NM_004169.3:c.1420C>A
SHMT1 transcript variant 2 NM_148918.3:c.1303= NM_148918.3:c.1303C>T NM_148918.3:c.1303C>A
SHMT1 transcript variant 2 NM_148918.2:c.1303= NM_148918.2:c.1303C>T NM_148918.2:c.1303C>A
SHMT1 transcript variant 2 NM_148918.1:c.1303= NM_148918.1:c.1303C>T NM_148918.1:c.1303C>A
SHMT1 transcript variant 3 NM_001281786.2:c.1006= NM_001281786.2:c.1006C>T NM_001281786.2:c.1006C>A
SHMT1 transcript variant 3 NM_001281786.1:c.1006= NM_001281786.1:c.1006C>T NM_001281786.1:c.1006C>A
GRCh38.p14 chr 17 novel patch HSCHR17_3_CTG1 NW_017363819.1:g.89156= NW_017363819.1:g.89156G>A NW_017363819.1:g.89156G>T
SHMT1 transcript variant X1 XM_005256767.4:c.1420= XM_005256767.4:c.1420C>T XM_005256767.4:c.1420C>A
SHMT1 transcript variant X1 XM_005256767.3:c.1420= XM_005256767.3:c.1420C>T XM_005256767.3:c.1420C>A
SHMT1 transcript variant X1 XM_005256767.2:c.1420= XM_005256767.2:c.1420C>T XM_005256767.2:c.1420C>A
SHMT1 transcript variant X1 XM_005256767.1:c.1420= XM_005256767.1:c.1420C>T XM_005256767.1:c.1420C>A
SHMT1 transcript variant X5 XM_011523992.4:c.1180= XM_011523992.4:c.1180C>T XM_011523992.4:c.1180C>A
SHMT1 transcript variant X4 XM_011523992.3:c.1180= XM_011523992.3:c.1180C>T XM_011523992.3:c.1180C>A
SHMT1 transcript variant X4 XM_011523992.2:c.1180= XM_011523992.2:c.1180C>T XM_011523992.2:c.1180C>A
SHMT1 transcript variant X2 XM_011523992.1:c.1180= XM_011523992.1:c.1180C>T XM_011523992.1:c.1180C>A
SHMT1 transcript variant X6 XM_024450887.2:c.1180= XM_024450887.2:c.1180C>T XM_024450887.2:c.1180C>A
SHMT1 transcript variant X5 XM_024450887.1:c.1180= XM_024450887.1:c.1180C>T XM_024450887.1:c.1180C>A
SHMT1 transcript variant X2 XM_017024957.2:c.1420= XM_017024957.2:c.1420C>T XM_017024957.2:c.1420C>A
SHMT1 transcript variant X2 XM_017024957.1:c.1420= XM_017024957.1:c.1420C>T XM_017024957.1:c.1420C>A
SHMT1 transcript variant X3 XM_017024958.2:c.1303= XM_017024958.2:c.1303C>T XM_017024958.2:c.1303C>A
SHMT1 transcript variant X3 XM_017024958.1:c.1303= XM_017024958.1:c.1303C>T XM_017024958.1:c.1303C>A
SHMT1 transcript variant X4 XM_047436545.1:c.1303= XM_047436545.1:c.1303C>T XM_047436545.1:c.1303C>A
serine hydroxymethyltransferase, cytosolic isoform 1 NP_004160.3:p.Leu474= NP_004160.3:p.Leu474Phe NP_004160.3:p.Leu474Ile
serine hydroxymethyltransferase, cytosolic isoform 2 NP_683718.1:p.Leu435= NP_683718.1:p.Leu435Phe NP_683718.1:p.Leu435Ile
serine hydroxymethyltransferase, cytosolic isoform 3 NP_001268715.1:p.Leu336= NP_001268715.1:p.Leu336Phe NP_001268715.1:p.Leu336Ile
serine hydroxymethyltransferase, cytosolic isoform X1 XP_005256824.1:p.Leu474= XP_005256824.1:p.Leu474Phe XP_005256824.1:p.Leu474Ile
serine hydroxymethyltransferase, cytosolic isoform X3 XP_011522294.1:p.Leu394= XP_011522294.1:p.Leu394Phe XP_011522294.1:p.Leu394Ile
serine hydroxymethyltransferase, cytosolic isoform X3 XP_024306655.1:p.Leu394= XP_024306655.1:p.Leu394Phe XP_024306655.1:p.Leu394Ile
serine hydroxymethyltransferase, cytosolic isoform X1 XP_016880446.1:p.Leu474= XP_016880446.1:p.Leu474Phe XP_016880446.1:p.Leu474Ile
serine hydroxymethyltransferase, cytosolic isoform X2 XP_016880447.1:p.Leu435= XP_016880447.1:p.Leu435Phe XP_016880447.1:p.Leu435Ile
serine hydroxymethyltransferase, cytosolic isoform X2 XP_047292501.1:p.Leu435= XP_047292501.1:p.Leu435Phe XP_047292501.1:p.Leu435Ile
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#.

122 SubSNP, 23 Frequency, 1 ClinVar submissions
No Submitter Submission ID Date (Build)
1 TSC-CSHL ss2884389 Jan 12, 2001 (92)
2 LEE ss4406215 May 29, 2002 (106)
3 SNP500CANCER ss5586917 Mar 31, 2003 (113)
4 CSHL-HAPMAP ss19370942 Feb 27, 2004 (120)
5 SSAHASNP ss21392072 Apr 05, 2004 (121)
6 PERLEGEN ss23644784 Sep 20, 2004 (123)
7 MGC_GENOME_DIFF ss28504587 Sep 24, 2004 (126)
8 ABI ss40806680 Mar 11, 2006 (126)
9 PERLEGEN ss69193533 May 16, 2007 (127)
10 HGSV ss79784995 Dec 14, 2007 (130)
11 HUMANGENOME_JCVI ss96539596 Feb 04, 2009 (130)
12 BGI ss103336075 Dec 01, 2009 (131)
13 1000GENOMES ss109688995 Jan 24, 2009 (130)
14 1000GENOMES ss113376678 Jan 25, 2009 (130)
15 ILLUMINA-UK ss118018661 Feb 14, 2009 (130)
16 ENSEMBL ss136608442 Dec 01, 2009 (131)
17 GMI ss157896820 Dec 01, 2009 (131)
18 SEATTLESEQ ss159734809 Dec 01, 2009 (131)
19 ILLUMINA ss160483560 Dec 01, 2009 (131)
20 COMPLETE_GENOMICS ss169255117 Jul 04, 2010 (132)
21 BUSHMAN ss202313034 Jul 04, 2010 (132)
22 BCM-HGSC-SUB ss207998959 Jul 04, 2010 (132)
23 1000GENOMES ss227493219 Jul 14, 2010 (132)
24 1000GENOMES ss237204105 Jul 15, 2010 (132)
25 1000GENOMES ss243511429 Jul 15, 2010 (132)
26 GMI ss282714492 May 04, 2012 (137)
27 GMI ss287157473 Apr 25, 2013 (138)
28 PJP ss292025568 May 09, 2011 (134)
29 NHLBI-ESP ss342447394 May 09, 2011 (134)
30 ILLUMINA ss481149600 Sep 08, 2015 (146)
31 ILLUMINA ss483604057 May 04, 2012 (137)
32 ILLUMINA ss483962633 May 04, 2012 (137)
33 1000GENOMES ss491118597 May 04, 2012 (137)
34 EXOME_CHIP ss491518723 May 04, 2012 (137)
35 CLINSEQ_SNP ss491732105 May 04, 2012 (137)
36 ILLUMINA ss536156364 Sep 08, 2015 (146)
37 TISHKOFF ss565204376 Apr 25, 2013 (138)
38 SSMP ss660996207 Apr 25, 2013 (138)
39 ILLUMINA ss778682816 Sep 08, 2015 (146)
40 ILLUMINA ss782425352 Sep 08, 2015 (146)
41 ILLUMINA ss834141415 Sep 08, 2015 (146)
42 JMKIDD_LAB ss974497979 Aug 21, 2014 (142)
43 EVA-GONL ss992983074 Aug 21, 2014 (142)
44 JMKIDD_LAB ss1067569115 Aug 21, 2014 (142)
45 JMKIDD_LAB ss1080977176 Aug 21, 2014 (142)
46 1000GENOMES ss1358132802 Aug 21, 2014 (142)
47 DDI ss1427995387 Apr 01, 2015 (144)
48 CLINVAR ss1457621886 Nov 23, 2014 (142)
49 EVA_GENOME_DK ss1578113444 Apr 01, 2015 (144)
50 EVA_FINRISK ss1584104860 Apr 01, 2015 (144)
51 EVA_UK10K_ALSPAC ss1635403993 Apr 01, 2015 (144)
52 EVA_UK10K_TWINSUK ss1678398026 Apr 01, 2015 (144)
53 EVA_EXAC ss1692653212 Apr 01, 2015 (144)
54 EVA_DECODE ss1697025412 Apr 01, 2015 (144)
55 EVA_MGP ss1711451335 Apr 01, 2015 (144)
56 HAMMER_LAB ss1808731070 Sep 08, 2015 (146)
57 WEILL_CORNELL_DGM ss1936435228 Feb 12, 2016 (147)
58 GENOMED ss1968365544 Jul 19, 2016 (147)
59 JJLAB ss2029003809 Sep 14, 2016 (149)
60 USC_VALOUEV ss2157456162 Dec 20, 2016 (150)
61 ILLUMINA ss2633383445 Nov 08, 2017 (151)
62 GRF ss2702004593 Nov 08, 2017 (151)
63 GNOMAD ss2742522181 Nov 08, 2017 (151)
64 GNOMAD ss2749713798 Nov 08, 2017 (151)
65 GNOMAD ss2948334218 Nov 08, 2017 (151)
66 AFFY ss2985088791 Nov 08, 2017 (151)
67 AFFY ss2985726824 Nov 08, 2017 (151)
68 SWEGEN ss3015292761 Nov 08, 2017 (151)
69 EVA_SAMSUNG_MC ss3023070378 Nov 08, 2017 (151)
70 BIOINF_KMB_FNS_UNIBA ss3028322179 Nov 08, 2017 (151)
71 CSHL ss3351679985 Nov 08, 2017 (151)
72 ILLUMINA ss3627640914 Oct 12, 2018 (152)
73 ILLUMINA ss3631365480 Oct 12, 2018 (152)
74 ILLUMINA ss3636358323 Oct 12, 2018 (152)
75 OMUKHERJEE_ADBS ss3646505339 Oct 12, 2018 (152)
76 URBANLAB ss3650616674 Oct 12, 2018 (152)
77 ILLUMINA ss3653861391 Oct 12, 2018 (152)
78 EVA_DECODE ss3700199247 Jul 13, 2019 (153)
79 ACPOP ss3741924045 Jul 13, 2019 (153)
80 EVA ss3754521185 Jul 13, 2019 (153)
81 PACBIO ss3788165385 Jul 13, 2019 (153)
82 PACBIO ss3793131203 Jul 13, 2019 (153)
83 PACBIO ss3798016879 Jul 13, 2019 (153)
84 KHV_HUMAN_GENOMES ss3819794616 Jul 13, 2019 (153)
85 EVA ss3825089186 Apr 27, 2020 (154)
86 EVA ss3825531179 Apr 27, 2020 (154)
87 EVA ss3825545928 Apr 27, 2020 (154)
88 EVA ss3825894595 Apr 27, 2020 (154)
89 EVA ss3834810075 Apr 27, 2020 (154)
90 EVA ss3841014107 Apr 27, 2020 (154)
91 EVA ss3846508954 Apr 27, 2020 (154)
92 SGDP_PRJ ss3885464776 Apr 27, 2020 (154)
93 KRGDB ss3935076056 Apr 27, 2020 (154)
94 FSA-LAB ss3984109984 Apr 26, 2021 (155)
95 EVA ss3984721234 Apr 26, 2021 (155)
96 EVA ss3986717123 Apr 26, 2021 (155)
97 TOPMED ss5031344090 Apr 26, 2021 (155)
98 TOMMO_GENOMICS ss5221760442 Apr 26, 2021 (155)
99 EVA ss5236940727 Apr 26, 2021 (155)
100 EVA ss5237573566 Apr 26, 2021 (155)
101 EVA ss5237668505 Oct 17, 2022 (156)
102 1000G_HIGH_COVERAGE ss5302631640 Oct 17, 2022 (156)
103 TRAN_CS_UWATERLOO ss5314447310 Oct 17, 2022 (156)
104 EVA ss5315879133 Oct 17, 2022 (156)
105 EVA ss5426748572 Oct 17, 2022 (156)
106 HUGCELL_USP ss5495779688 Oct 17, 2022 (156)
107 EVA ss5511739270 Oct 17, 2022 (156)
108 1000G_HIGH_COVERAGE ss5606075047 Oct 17, 2022 (156)
109 EVA ss5623970332 Oct 17, 2022 (156)
110 EVA ss5624070012 Oct 17, 2022 (156)
111 SANFORD_IMAGENETICS ss5624394300 Oct 17, 2022 (156)
112 SANFORD_IMAGENETICS ss5659840222 Oct 17, 2022 (156)
113 TOMMO_GENOMICS ss5777434073 Oct 17, 2022 (156)
114 YY_MCH ss5816388189 Oct 17, 2022 (156)
115 EVA ss5833802215 Oct 17, 2022 (156)
116 EVA ss5847472793 Oct 17, 2022 (156)
117 EVA ss5847791929 Oct 17, 2022 (156)
118 EVA ss5848443735 Oct 17, 2022 (156)
119 EVA ss5913448499 Oct 17, 2022 (156)
120 EVA ss5951251482 Oct 17, 2022 (156)
121 EVA ss5979502914 Oct 17, 2022 (156)
122 EVA ss5980957207 Oct 17, 2022 (156)
123 1000Genomes NC_000017.10 - 18232096 Oct 12, 2018 (152)
124 1000Genomes_30x NC_000017.11 - 18328782 Oct 17, 2022 (156)
125 The Avon Longitudinal Study of Parents and Children NC_000017.10 - 18232096 Oct 12, 2018 (152)
126 ExAC NC_000017.10 - 18232096 Oct 12, 2018 (152)
127 FINRISK NC_000017.10 - 18232096 Apr 27, 2020 (154)
128 The Danish reference pan genome NC_000017.10 - 18232096 Apr 27, 2020 (154)
129 gnomAD - Genomes NC_000017.11 - 18328782 Apr 26, 2021 (155)
130 gnomAD - Exomes NC_000017.10 - 18232096 Jul 13, 2019 (153)
131 GO Exome Sequencing Project NC_000017.10 - 18232096 Oct 12, 2018 (152)
132 Genome of the Netherlands Release 5 NC_000017.10 - 18232096 Apr 27, 2020 (154)
133 HapMap NC_000017.11 - 18328782 Apr 27, 2020 (154)
134 KOREAN population from KRGDB NC_000017.10 - 18232096 Apr 27, 2020 (154)
135 Medical Genome Project healthy controls from Spanish population NC_000017.10 - 18232096 Apr 27, 2020 (154)
136 Northern Sweden NC_000017.10 - 18232096 Jul 13, 2019 (153)
137 CNV burdens in cranial meningiomas NC_000017.10 - 18232096 Apr 26, 2021 (155)
138 Qatari NC_000017.10 - 18232096 Apr 27, 2020 (154)
139 SGDP_PRJ NC_000017.10 - 18232096 Apr 27, 2020 (154)
140 Siberian NC_000017.10 - 18232096 Apr 27, 2020 (154)
141 8.3KJPN NC_000017.10 - 18232096 Apr 26, 2021 (155)
142 14KJPN NC_000017.11 - 18328782 Oct 17, 2022 (156)
143 TopMed NC_000017.11 - 18328782 Apr 26, 2021 (155)
144 UK 10K study - Twins NC_000017.10 - 18232096 Oct 12, 2018 (152)
145 ALFA NC_000017.11 - 18328782 Apr 26, 2021 (155)
146 ClinVar RCV000144920.1 Oct 12, 2018 (152)
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)
rs2230025 Jan 04, 2002 (102)
rs3183766 Jul 03, 2002 (106)
rs17850285 Mar 11, 2006 (126)
rs57933897 May 24, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss79784995, ss109688995, ss113376678, ss118018661, ss169255117, ss202313034, ss207998959, ss282714492, ss287157473, ss292025568, ss483604057, ss491732105, ss1697025412 NC_000017.9:18172820:G:A NC_000017.11:18328781:G:A (self)
71355718, 39572791, 3086136, 101321, 4317379, 11823836, 1546299, 17641637, 42253450, 567095, 15208910, 270778, 18477150, 37481756, 9972516, 79729749, 39572791, ss227493219, ss237204105, ss243511429, ss342447394, ss481149600, ss483962633, ss491118597, ss491518723, ss536156364, ss565204376, ss660996207, ss778682816, ss782425352, ss834141415, ss974497979, ss992983074, ss1067569115, ss1080977176, ss1358132802, ss1427995387, ss1578113444, ss1584104860, ss1635403993, ss1678398026, ss1692653212, ss1711451335, ss1808731070, ss1936435228, ss1968365544, ss2029003809, ss2157456162, ss2633383445, ss2702004593, ss2742522181, ss2749713798, ss2948334218, ss2985088791, ss2985726824, ss3015292761, ss3023070378, ss3351679985, ss3627640914, ss3631365480, ss3636358323, ss3646505339, ss3653861391, ss3741924045, ss3754521185, ss3788165385, ss3793131203, ss3798016879, ss3825089186, ss3825531179, ss3825545928, ss3825894595, ss3834810075, ss3841014107, ss3885464776, ss3935076056, ss3984109984, ss3984721234, ss3986717123, ss5221760442, ss5237573566, ss5315879133, ss5426748572, ss5511739270, ss5623970332, ss5624070012, ss5624394300, ss5659840222, ss5833802215, ss5847472793, ss5847791929, ss5848443735, ss5951251482, ss5979502914, ss5980957207 NC_000017.10:18232095:G:A NC_000017.11:18328781:G:A (self)
RCV000144920.1, 93600982, 503075227, 1468989, 111271177, 246889752, 8837011293, ss1457621886, ss3028322179, ss3650616674, ss3700199247, ss3819794616, ss3846508954, ss5031344090, ss5236940727, ss5237668505, ss5302631640, ss5314447310, ss5495779688, ss5606075047, ss5777434073, ss5816388189, ss5913448499 NC_000017.11:18328781:G:A NC_000017.11:18328781:G:A (self)
ss19370942, ss21392072 NT_010718.14:17073101:G:A NC_000017.11:18328781:G:A (self)
ss2884389, ss4406215, ss5586917, ss23644784, ss28504587, ss40806680, ss69193533, ss96539596, ss103336075, ss136608442, ss157896820, ss159734809, ss160483560 NT_010718.16:17835469:G:A NC_000017.11:18328781:G:A (self)
8837011293 NC_000017.11:18328781:G:T NC_000017.11:18328781:G:T (self)
Help

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

57 citations for rs1979277
PMID Title Author Year Journal
15911586 Effects of natural selection on interpopulation divergence at polymorphic sites in human protein-coding Loci. Hughes AL et al. 2005 Genetics
17035141 Neural tube defects and folate pathway genes: family-based association tests of gene-gene and gene-environment interactions. Boyles AL et al. 2006 Environmental health perspectives
17119116 Gene-nutrient interactions among determinants of folate and one-carbon metabolism on the risk of non-Hodgkin lymphoma: NCI-SEER case-control study. Lim U et al. 2007 Blood
17366837 Genetic studies of a cluster of acute lymphoblastic leukemia cases in Churchill County, Nevada. Steinberg KK et al. 2007 Environmental health perspectives
17420066 Polymorphisms of cytosolic serine hydroxymethyltransferase and risk of lung cancer: a case-control analysis. Wang L et al. 2007 Lung cancer (Amsterdam, Netherlands)
18381459 Genetic variation in the one-carbon transfer pathway and ovarian cancer risk. Kelemen LE et al. 2008 Cancer research
18521744 BRCA1 promoter methylation is associated with increased mortality among women with breast cancer. Xu X et al. 2009 Breast cancer research and treatment
18708404 B-vitamin intake, one-carbon metabolism, and survival in a population-based study of women with breast cancer. Xu X et al. 2008 Cancer epidemiology, biomarkers & prevention
18830263 Polymorphisms in DNA repair and one-carbon metabolism genes and overall survival in diffuse large B-cell lymphoma and follicular lymphoma. Wang SS et al. 2009 Leukemia
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
19706844 Association of folate-pathway gene polymorphisms with the risk of prostate cancer: a population-based nested case-control study, systematic review, and meta-analysis. Collin SM et al. 2009 Cancer epidemiology, biomarkers & prevention
19776626 Polymorphisms in methionine synthase, methionine synthase reductase and serine hydroxymethyltransferase, folate and alcohol intake, and colon cancer risk. Steck SE et al. 2008 Journal of nutrigenetics and nutrigenomics
20101025 Genetic variation in the folate metabolic pathway and risk of childhood leukemia. Lightfoot TJ et al. 2010 Blood
20111745 Gene-gene interactions in the folate metabolic pathway and the risk of conotruncal heart defects. Lupo PJ et al. 2010 Journal of biomedicine & biotechnology
20458436 Early-onset ischaemic stroke: analysis of 58 polymorphisms in 17 genes involved in methionine metabolism. Giusti B et al. 2010 Thrombosis and haemostasis
20544798 Genetic and lifestyle variables associated with homocysteine concentrations and the distribution of folate derivatives in healthy premenopausal women. Summers CM et al. 2010 Birth defects research. Part A, Clinical and molecular teratology
20600216 Individual differences in arsenic metabolism and lung cancer in a case-control study in Cordoba, Argentina. Steinmaus C et al. 2010 Toxicology and applied pharmacology
20670920 Association of genetic variation in cystathionine-beta-synthase and arsenic metabolism. Porter KE et al. 2010 Environmental research
20852008 Associations of folate, vitamin B12, homocysteine, and folate-pathway polymorphisms with prostate-specific antigen velocity in men with localized prostate cancer. Collin SM et al. 2010 Cancer epidemiology, biomarkers & prevention
21146954 Genes and abdominal aortic aneurysm. Hinterseher I et al. 2011 Annals of vascular surgery
21178087 Polymorphisms in serine hydroxymethyltransferase 1 and methylenetetrahydrofolate reductase interact to increase cardiovascular disease risk in humans. Wernimont SM et al. 2011 The Journal of nutrition
21274745 Variation in folate pathway genes and distal colorectal adenoma risk: a sigmoidoscopy-based case-control study. Levine AJ et al. 2011 Cancer causes & control
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
21615938 Genetic polymorphisms in folate pathway enzymes, DRD4 and GSTM1 are related to temporomandibular disorder. Aneiros-Guerrero A et al. 2011 BMC medical genetics
21618410 Folate pathway polymorphisms predict deficits in attention and processing speed after childhood leukemia therapy. Kamdar KY et al. 2011 Pediatric blood & cancer
21687976 Polymorphism C1420T of Serine hydroxymethyltransferase gene on maternal risk for Down syndrome. Marucci GH et al. 2012 Molecular biology reports
21747588 Genetic variation in genes involved in folate and drug metabolism in a south Indian population. Rai PS et al. 2011 Indian journal of human genetics
21748308 Genetic variants in the folate pathway and risk of childhood acute lymphoblastic leukemia. Metayer C et al. 2011 Cancer causes & control
21857689 Folate and vitamin B12 in idiopathic male infertility. Murphy LE et al. 2011 Asian journal of andrology
22103680 Folate network genetic variation, plasma homocysteine, and global genomic methylation content: a genetic association study. Wernimont SM et al. 2011 BMC medical genetics
22116453 Folate and vitamin B12-related genes and risk for omphalocele. Mills JL et al. 2012 Human genetics
22220685 Serine hydroxymethyltransferase 1 and 2: gene sequence variation and functional genomic characterization. Hebbring SJ et al. 2012 Journal of neurochemistry
22371529 DNA methylation in peripheral blood measured by LUMA is associated with breast cancer in a population-based study. Xu X et al. 2012 FASEB journal
22479380 Genetic and non-genetic influences during pregnancy on infant global and site specific DNA methylation: role for folate gene variants and vitamin B12. McKay JA et al. 2012 PloS one
22496743 Genetic variant of AMD1 is associated with obesity in urban Indian children. Tabassum R et al. 2012 PloS one
22616673 Global tests of P-values for multifactor dimensionality reduction models in selection of optimal number of target genes. Dai H et al. 2012 BioData mining
23294634 Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction. Dai H et al. 2013 BioData mining
23401104 Folate-genetics and colorectal neoplasia: what we know and need to know next. Figueiredo JC et al. 2013 Molecular nutrition & food research
23446900 One-carbon metabolism factors and leukocyte telomere length. Liu JJ et al. 2013 The American journal of clinical nutrition
23913011 Role of one-carbon metabolizing pathway genes and gene-nutrient interaction in the risk of non-Hodgkin lymphoma. Li Q et al. 2013 Cancer causes & control
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
24048206 Neural tube defects, folic acid and methylation. Imbard A et al. 2013 International journal of environmental research and public health
24362509 DNMT3B C46359T and SHMT1 C1420T polymorphisms in the folate pathway in carcinogenesis of head and neck. Succi M et al. 2014 Molecular biology reports
24524080 The effect of multiple single nucleotide polymorphisms in the folic acid pathway genes on homocysteine metabolism. Liang S et al. 2014 BioMed research international
25041994 Polymorphisms in folate-metabolizing enzymes and response to 5-fluorouracil among patients with stage II or III rectal cancer (INT-0144; SWOG 9304). Ulrich CM et al. 2014 Cancer
25227144 Folate-related polymorphisms in gastrointestinal stromal tumours: susceptibility and correlation with tumour characteristics and clinical outcome. Angelini S et al. 2015 European journal of human genetics
27808252 Functional variants of the 5-methyltetrahydrofolate-homocysteine methyltransferase gene significantly increase susceptibility to prostate cancer: Results from an ethnic Han Chinese population. Qu YY et al. 2016 Scientific reports
29627528 The association between donor genetic variations in one-carbon metabolism pathway genes and hepatitis B recurrence after liver transplantation. Lu D et al. 2018 Gene
29953918 Identification of three novel loci of ALDH2 Gene for Serum Folate levels in a Male Chinese Population by Genome-Wide Association Study. Deng C et al. 2018 Gene
30456721 Association of SHMT1, MAZ, ERG, and L3MBTL3 Gene Polymorphisms with Susceptibility to Multiple Sclerosis. Nazari Mehrabani SZ et al. 2019 Biochemical genetics
30587867 Polymorphisms in folic acid metabolism genes do not associate with cancer cachexia in Japanese gastrointestinal patients. Morishita T et al. 2018 Nagoya journal of medical science
31713293 A SHMT1 variant decreases the risk of nonsyndromic cleft lip with or without cleft palate in Chile. Salamanca C et al. 2020 Oral diseases
33369477 Gene Polymorphisms Involved in Folate Metabolism and DNA Methylation with the Risk of Head and Neck Cancer. De Castro TB et al. 2020 Asian Pacific journal of cancer prevention
33974584 Association Between SHMT1 rs1979277 Polymorphism and Risk of Acute Lymphoblastic Leukemia: A Systematic Review and Meta-analysis. Yang QQ et al. 2022 Journal of pediatric hematology/oncology
34013078 Host pharmacogenetic factors that may affect liver neoplasm incidence upon using direct-acting antivirals for treating hepatitis C infection. Zidan AM et al. 2021 Heliyon
35098008 Maternal polymorphic loci of rs1979277 serine hydroxymethyl transferase and rs1805087 5-methylenetetrahydrofolate are correlated with the development of fetal growth restriction: A case-control study. Efremova O et al. 2021 International journal of reproductive biomedicine
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
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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