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.
rs1061622
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr1:12192898 (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>G
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
G=0.208451 (55175/264690, TOPMED)G=0.216294 (54148/250344, GnomAD_exome)G=0.232235 (55035/236980, ALFA) (+ 27 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- TNFRSF1B : Missense Variant
- Publications
- 60 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 |
---|---|---|---|---|
Total | Global | 253198 | T=0.768541 | G=0.231459 |
European | Sub | 215208 | T=0.765980 | G=0.234020 |
African | Sub | 12950 | T=0.79444 | G=0.20556 |
African Others | Sub | 456 | T=0.849 | G=0.151 |
African American | Sub | 12494 | T=0.79246 | G=0.20754 |
Asian | Sub | 786 | T=0.838 | G=0.162 |
East Asian | Sub | 612 | T=0.851 | G=0.149 |
Other Asian | Sub | 174 | T=0.793 | G=0.207 |
Latin American 1 | Sub | 1126 | T=0.8126 | G=0.1874 |
Latin American 2 | Sub | 2854 | T=0.8532 | G=0.1468 |
South Asian | Sub | 5048 | T=0.7393 | G=0.2607 |
Other | Sub | 15226 | T=0.76967 | G=0.23033 |
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 |
---|---|---|---|---|---|
TopMed | Global | Study-wide | 264690 | T=0.791549 | G=0.208451 |
gnomAD - Exomes | Global | Study-wide | 250344 | T=0.783706 | G=0.216294 |
gnomAD - Exomes | European | Sub | 134504 | T=0.764334 | G=0.235666 |
gnomAD - Exomes | Asian | Sub | 48968 | T=0.77773 | G=0.22227 |
gnomAD - Exomes | American | Sub | 34540 | T=0.88034 | G=0.11966 |
gnomAD - Exomes | African | Sub | 16166 | T=0.79197 | G=0.20803 |
gnomAD - Exomes | Ashkenazi Jewish | Sub | 10050 | T=0.73134 | G=0.26866 |
gnomAD - Exomes | Other | Sub | 6116 | T=0.7760 | G=0.2240 |
Allele Frequency Aggregator | Total | Global | 236980 | T=0.767765 | G=0.232235 |
Allele Frequency Aggregator | European | Sub | 205238 | T=0.765813 | G=0.234187 |
Allele Frequency Aggregator | Other | Sub | 13798 | T=0.76960 | G=0.23040 |
Allele Frequency Aggregator | African | Sub | 8130 | T=0.7886 | G=0.2114 |
Allele Frequency Aggregator | South Asian | Sub | 5048 | T=0.7393 | G=0.2607 |
Allele Frequency Aggregator | Latin American 2 | Sub | 2854 | T=0.8532 | G=0.1468 |
Allele Frequency Aggregator | Latin American 1 | Sub | 1126 | T=0.8126 | G=0.1874 |
Allele Frequency Aggregator | Asian | Sub | 786 | T=0.838 | G=0.162 |
gnomAD - Genomes | Global | Study-wide | 140054 | T=0.783748 | G=0.216252 |
gnomAD - Genomes | European | Sub | 75858 | T=0.76469 | G=0.23531 |
gnomAD - Genomes | African | Sub | 41956 | T=0.79512 | G=0.20488 |
gnomAD - Genomes | American | Sub | 13650 | T=0.84857 | G=0.15143 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3316 | T=0.7337 | G=0.2663 |
gnomAD - Genomes | East Asian | Sub | 3128 | T=0.8430 | G=0.1570 |
gnomAD - Genomes | Other | Sub | 2146 | T=0.8136 | G=0.1864 |
ExAC | Global | Study-wide | 120014 | T=0.775135 | G=0.224865 |
ExAC | Europe | Sub | 72360 | T=0.75560 | G=0.24440 |
ExAC | Asian | Sub | 25028 | T=0.77433 | G=0.22567 |
ExAC | American | Sub | 11470 | T=0.88291 | G=0.11709 |
ExAC | African | Sub | 10266 | T=0.79515 | G=0.20485 |
ExAC | Other | Sub | 890 | T=0.766 | G=0.234 |
The PAGE Study | Global | Study-wide | 78696 | T=0.81754 | G=0.18246 |
The PAGE Study | AfricanAmerican | Sub | 32514 | T=0.79031 | G=0.20969 |
The PAGE Study | Mexican | Sub | 10810 | T=0.86531 | G=0.13469 |
The PAGE Study | Asian | Sub | 8318 | T=0.8609 | G=0.1391 |
The PAGE Study | PuertoRican | Sub | 7918 | T=0.8443 | G=0.1557 |
The PAGE Study | NativeHawaiian | Sub | 4534 | T=0.7739 | G=0.2261 |
The PAGE Study | Cuban | Sub | 4228 | T=0.7904 | G=0.2096 |
The PAGE Study | Dominican | Sub | 3828 | T=0.8090 | G=0.1910 |
The PAGE Study | CentralAmerican | Sub | 2450 | T=0.8608 | G=0.1392 |
The PAGE Study | SouthAmerican | Sub | 1980 | T=0.8692 | G=0.1308 |
The PAGE Study | NativeAmerican | Sub | 1260 | T=0.7968 | G=0.2032 |
The PAGE Study | SouthAsian | Sub | 856 | T=0.770 | G=0.230 |
14KJPN | JAPANESE | Study-wide | 28258 | T=0.87713 | G=0.12287 |
8.3KJPN | JAPANESE | Study-wide | 16760 | T=0.87846 | G=0.12154 |
GO Exome Sequencing Project | Global | Study-wide | 13006 | T=0.76949 | G=0.23051 |
GO Exome Sequencing Project | European American | Sub | 8600 | T=0.7594 | G=0.2406 |
GO Exome Sequencing Project | African American | Sub | 4406 | T=0.7892 | G=0.2108 |
1000Genomes_30x | Global | Study-wide | 6404 | T=0.8093 | G=0.1907 |
1000Genomes_30x | African | Sub | 1786 | T=0.8236 | G=0.1764 |
1000Genomes_30x | Europe | Sub | 1266 | T=0.7788 | G=0.2212 |
1000Genomes_30x | South Asian | Sub | 1202 | T=0.7304 | G=0.2696 |
1000Genomes_30x | East Asian | Sub | 1170 | T=0.8547 | G=0.1453 |
1000Genomes_30x | American | Sub | 980 | T=0.865 | G=0.135 |
1000Genomes | Global | Study-wide | 5008 | T=0.8053 | G=0.1947 |
1000Genomes | African | Sub | 1322 | T=0.8132 | G=0.1868 |
1000Genomes | East Asian | Sub | 1008 | T=0.8502 | G=0.1498 |
1000Genomes | Europe | Sub | 1006 | T=0.7823 | G=0.2177 |
1000Genomes | South Asian | Sub | 978 | T=0.724 | G=0.276 |
1000Genomes | American | Sub | 694 | T=0.873 | G=0.127 |
Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | T=0.7603 | G=0.2397 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | T=0.7608 | G=0.2392 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | T=0.7589 | G=0.2411 |
MxGDAR/Encodat-PGx | Global | Study-wide | 3284 | T=0.9004 | G=0.0996 |
MxGDAR/Encodat-PGx | MxGDAR | Sub | 3284 | T=0.9004 | G=0.0996 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2928 | T=0.8337 | G=0.1663 |
HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2084 | T=0.8057 | G=0.1943 |
HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | T=0.851 | G=0.149 |
HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | T=0.763 | G=0.237 |
HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | T=0.723 | G=0.277 |
HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | T=0.791 | G=0.209 |
HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | T=0.740 | G=0.260 |
HGDP-CEPH-db Supplement 1 | America | Sub | 216 | T=0.972 | G=0.028 |
HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | T=0.94 | G=0.06 |
HapMap | Global | Study-wide | 1892 | T=0.7939 | G=0.2061 |
HapMap | American | Sub | 770 | T=0.779 | G=0.221 |
HapMap | African | Sub | 692 | T=0.790 | G=0.210 |
HapMap | Asian | Sub | 254 | T=0.843 | G=0.157 |
HapMap | Europe | Sub | 176 | T=0.801 | G=0.199 |
Korean Genome Project | KOREAN | Study-wide | 1832 | T=0.8281 | G=0.1719 |
Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | T=0.775 | G=0.225 |
CNV burdens in cranial meningiomas | Global | Study-wide | 768 | T=0.784 | G=0.216 |
CNV burdens in cranial meningiomas | CRM | Sub | 768 | T=0.784 | G=0.216 |
Northern Sweden | ACPOP | Study-wide | 600 | T=0.783 | G=0.217 |
Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | T=0.850 | G=0.150 |
FINRISK | Finnish from FINRISK project | Study-wide | 288 | T=0.778 | G=0.222 |
Qatari | Global | Study-wide | 216 | T=0.745 | G=0.255 |
A Vietnamese Genetic Variation Database | Global | Study-wide | 212 | T=0.892 | G=0.108 |
SGDP_PRJ | Global | Study-wide | 182 | T=0.407 | G=0.593 |
Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 92 | T=0.89 | G=0.11 |
The Danish reference pan genome | Danish | Study-wide | 40 | T=0.62 | G=0.38 |
Siberian | Global | Study-wide | 20 | T=0.35 | G=0.65 |
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 1 | NC_000001.11:g.12192898T>G |
GRCh37.p13 chr 1 | NC_000001.10:g.12252955T>G |
TNFRSF1B RefSeqGene | NG_029791.1:g.30896T>G |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
TNFRSF1B transcript | NM_001066.3:c.587T>G | M [ATG] > R [AGG] | Coding Sequence Variant |
tumor necrosis factor receptor superfamily member 1B precursor | NP_001057.1:p.Met196Arg | M (Met) > R (Arg) | Missense Variant |
TNFRSF1B transcript variant X1 | XM_011542060.3:c.587T>G | M [ATG] > R [AGG] | Coding Sequence Variant |
tumor necrosis factor receptor superfamily member 1B isoform X1 | XP_011540362.1:p.Met196Arg | M (Met) > R (Arg) | Missense Variant |
TNFRSF1B transcript variant X2 | XM_047429422.1:c.587T>G | M [ATG] > R [AGG] | Coding Sequence Variant |
tumor necrosis factor receptor superfamily member 1B isoform X2 | XP_047285378.1:p.Met196Arg | M (Met) > R (Arg) | Missense Variant |
TNFRSF1B transcript variant X3 | XM_047429423.1:c.566T>G | M [ATG] > R [AGG] | Coding Sequence Variant |
tumor necrosis factor receptor superfamily member 1B isoform X3 | XP_047285379.1:p.Met189Arg | M (Met) > R (Arg) | Missense Variant |
TNFRSF1B transcript variant X4 | XM_011542063.3:c.587T>G | M [ATG] > R [AGG] | Coding Sequence Variant |
tumor necrosis factor receptor superfamily member 1B isoform X4 | XP_011540365.1:p.Met196Arg | M (Met) > R (Arg) | Missense Variant |
TNFRSF1B transcript variant X5 | XM_047429424.1:c.434T>G | M [ATG] > R [AGG] | Coding Sequence Variant |
tumor necrosis factor receptor superfamily member 1B isoform X5 | XP_047285380.1:p.Met145Arg | M (Met) > R (Arg) | 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 |
---|---|---|
RCV001354054.1 | Susceptibility to severe coronavirus disease (COVID-19) | Uncertain-Significance |
RCV001836993.1 | Susceptibility to severe coronavirus disease (COVID-19) due to high plasma levels of TNF, TNFR, and/or TNFR2 | Uncertain-Significance |
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= | G |
---|---|---|
GRCh38.p14 chr 1 | NC_000001.11:g.12192898= | NC_000001.11:g.12192898T>G |
GRCh37.p13 chr 1 | NC_000001.10:g.12252955= | NC_000001.10:g.12252955T>G |
TNFRSF1B RefSeqGene | NG_029791.1:g.30896= | NG_029791.1:g.30896T>G |
TNFRSF1B transcript | NM_001066.3:c.587= | NM_001066.3:c.587T>G |
TNFRSF1B transcript | NM_001066.2:c.587= | NM_001066.2:c.587T>G |
TNFRSF1B transcript variant X1 | XM_011542060.3:c.587= | XM_011542060.3:c.587T>G |
TNFRSF1B transcript variant X2 | XM_011542060.2:c.587= | XM_011542060.2:c.587T>G |
TNFRSF1B transcript variant X1 | XM_011542060.1:c.587= | XM_011542060.1:c.587T>G |
TNFRSF1B transcript variant X4 | XM_011542063.3:c.587= | XM_011542063.3:c.587T>G |
TNFRSF1B transcript variant X3 | XM_011542063.2:c.587= | XM_011542063.2:c.587T>G |
TNFRSF1B transcript variant X4 | XM_011542063.1:c.587= | XM_011542063.1:c.587T>G |
TNFRSF1B transcript variant X5 | XM_047429424.1:c.434= | XM_047429424.1:c.434T>G |
TNFRSF1B transcript variant X3 | XM_047429423.1:c.566= | XM_047429423.1:c.566T>G |
TNFRSF1B transcript variant X2 | XM_047429422.1:c.587= | XM_047429422.1:c.587T>G |
tumor necrosis factor receptor superfamily member 1B precursor | NP_001057.1:p.Met196= | NP_001057.1:p.Met196Arg |
tumor necrosis factor receptor superfamily member 1B isoform X1 | XP_011540362.1:p.Met196= | XP_011540362.1:p.Met196Arg |
tumor necrosis factor receptor superfamily member 1B isoform X4 | XP_011540365.1:p.Met196= | XP_011540365.1:p.Met196Arg |
tumor necrosis factor receptor superfamily member 1B isoform X5 | XP_047285380.1:p.Met145= | XP_047285380.1:p.Met145Arg |
tumor necrosis factor receptor superfamily member 1B isoform X3 | XP_047285379.1:p.Met189= | XP_047285379.1:p.Met189Arg |
tumor necrosis factor receptor superfamily member 1B isoform X2 | XP_047285378.1:p.Met196= | XP_047285378.1:p.Met196Arg |
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 | SC_JCM | ss2510856 | Nov 09, 2000 (96) |
2 | WIAF-CSNP | ss3173181 | Aug 15, 2001 (102) |
3 | HGBASE | ss3182272 | Aug 15, 2001 (98) |
4 | EGP_SNPS | ss7990727 | Apr 21, 2003 (114) |
5 | CUORCGL | ss12568611 | Aug 26, 2003 (117) |
6 | IMCJ-GDT | ss22887876 | Apr 05, 2004 (123) |
7 | PERLEGEN | ss23845243 | Sep 20, 2004 (123) |
8 | PGA-UW-FHCRC | ss28528913 | Dec 02, 2004 (126) |
9 | APPLERA_GI | ss48421604 | Mar 10, 2006 (126) |
10 | PGA-UW-FHCRC | ss52088967 | Oct 13, 2006 (127) |
11 | ILLUMINA | ss65724812 | Oct 13, 2006 (127) |
12 | KRIBB_YJKIM | ss65836872 | Nov 29, 2006 (127) |
13 | ILLUMINA | ss66666521 | Nov 29, 2006 (127) |
14 | EGP_SNPS | ss66857595 | Nov 29, 2006 (127) |
15 | ILLUMINA | ss66896589 | Nov 29, 2006 (127) |
16 | ILLUMINA | ss67006743 | Nov 29, 2006 (127) |
17 | PERLEGEN | ss68758710 | May 16, 2007 (127) |
18 | ILLUMINA | ss70377142 | May 16, 2007 (127) |
19 | ILLUMINA | ss70492642 | May 25, 2008 (130) |
20 | ILLUMINA | ss71017335 | May 16, 2007 (127) |
21 | AFFY | ss74811944 | Aug 16, 2007 (128) |
22 | ILLUMINA | ss75726432 | Dec 06, 2007 (129) |
23 | CGM_KYOTO | ss76870039 | Dec 06, 2007 (129) |
24 | HGSV | ss80885031 | Dec 15, 2007 (130) |
25 | KRIBB_YJKIM | ss83676225 | Dec 15, 2007 (130) |
26 | CANCER-GENOME | ss86341825 | Mar 23, 2008 (129) |
27 | 1000GENOMES | ss107996605 | Jan 22, 2009 (130) |
28 | 1000GENOMES | ss110065962 | Jan 24, 2009 (130) |
29 | ILLUMINA-UK | ss118501986 | Feb 14, 2009 (130) |
30 | ILLUMINA | ss120035931 | Dec 01, 2009 (131) |
31 | ILLUMINA | ss121373522 | Dec 01, 2009 (131) |
32 | ILLUMINA | ss152797129 | Dec 01, 2009 (131) |
33 | ILLUMINA | ss159137474 | Dec 01, 2009 (131) |
34 | SEATTLESEQ | ss159696121 | Dec 01, 2009 (131) |
35 | ILLUMINA | ss159911628 | Dec 01, 2009 (131) |
36 | COMPLETE_GENOMICS | ss163082387 | Jul 04, 2010 (132) |
37 | COMPLETE_GENOMICS | ss163838614 | Jul 04, 2010 (132) |
38 | ILLUMINA | ss169574283 | Jul 04, 2010 (132) |
39 | ILLUMINA | ss170399408 | Jul 04, 2010 (132) |
40 | BUSHMAN | ss198030314 | Jul 04, 2010 (132) |
41 | 1000GENOMES | ss218240051 | Jul 14, 2010 (132) |
42 | 1000GENOMES | ss230428826 | Jul 14, 2010 (132) |
43 | 1000GENOMES | ss238143835 | Jul 15, 2010 (132) |
44 | ILLUMINA | ss244269725 | Jul 04, 2010 (132) |
45 | BL | ss252920300 | May 09, 2011 (134) |
46 | GMI | ss275716410 | May 04, 2012 (137) |
47 | NHLBI-ESP | ss341933995 | May 09, 2011 (134) |
48 | ILLUMINA | ss479321523 | May 04, 2012 (137) |
49 | ILLUMINA | ss479324713 | May 04, 2012 (137) |
50 | ILLUMINA | ss479712401 | Sep 08, 2015 (146) |
51 | ILLUMINA | ss484461056 | May 04, 2012 (137) |
52 | 1000GENOMES | ss489721546 | May 04, 2012 (137) |
53 | EXOME_CHIP | ss491286397 | May 04, 2012 (137) |
54 | CLINSEQ_SNP | ss491584774 | May 04, 2012 (137) |
55 | ILLUMINA | ss536625169 | Sep 08, 2015 (146) |
56 | TISHKOFF | ss553804952 | Apr 25, 2013 (138) |
57 | SSMP | ss647580139 | Apr 25, 2013 (138) |
58 | ILLUMINA | ss778361807 | Aug 21, 2014 (142) |
59 | ILLUMINA | ss780763980 | Aug 21, 2014 (142) |
60 | ILLUMINA | ss782677088 | Aug 21, 2014 (142) |
61 | ILLUMINA | ss783443155 | Aug 21, 2014 (142) |
62 | ILLUMINA | ss783645676 | Aug 21, 2014 (142) |
63 | ILLUMINA | ss825346753 | Apr 01, 2015 (144) |
64 | ILLUMINA | ss831927833 | Apr 01, 2015 (144) |
65 | ILLUMINA | ss832650134 | Aug 21, 2014 (142) |
66 | ILLUMINA | ss833240823 | Aug 21, 2014 (142) |
67 | ILLUMINA | ss833816588 | Aug 21, 2014 (142) |
68 | JMKIDD_LAB | ss974433282 | Aug 21, 2014 (142) |
69 | EVA-GONL | ss974863387 | Aug 21, 2014 (142) |
70 | JMKIDD_LAB | ss1067416294 | Aug 21, 2014 (142) |
71 | JMKIDD_LAB | ss1067675021 | Aug 21, 2014 (142) |
72 | 1000GENOMES | ss1289714033 | Aug 21, 2014 (142) |
73 | DDI | ss1425714675 | Apr 01, 2015 (144) |
74 | EVA_GENOME_DK | ss1573891240 | Apr 01, 2015 (144) |
75 | EVA_FINRISK | ss1584004755 | Apr 01, 2015 (144) |
76 | EVA_DECODE | ss1584221428 | Apr 01, 2015 (144) |
77 | EVA_UK10K_ALSPAC | ss1599563907 | Apr 01, 2015 (144) |
78 | EVA_UK10K_TWINSUK | ss1642557940 | Apr 01, 2015 (144) |
79 | EVA_EXAC | ss1685309303 | Apr 01, 2015 (144) |
80 | EVA_MGP | ss1710888722 | Apr 01, 2015 (144) |
81 | EVA_SVP | ss1712311709 | Apr 01, 2015 (144) |
82 | ILLUMINA | ss1751867515 | Sep 08, 2015 (146) |
83 | HAMMER_LAB | ss1793916180 | Sep 08, 2015 (146) |
84 | WEILL_CORNELL_DGM | ss1918063495 | Feb 12, 2016 (147) |
85 | ILLUMINA | ss1958242109 | Feb 12, 2016 (147) |
86 | JJLAB | ss2019545589 | Sep 14, 2016 (149) |
87 | ILLUMINA | ss2094953256 | Dec 20, 2016 (150) |
88 | USC_VALOUEV | ss2147544001 | Dec 20, 2016 (150) |
89 | HUMAN_LONGEVITY | ss2160112160 | Dec 20, 2016 (150) |
90 | ILLUMINA | ss2632478497 | Nov 08, 2017 (151) |
91 | GRF | ss2697440793 | Nov 08, 2017 (151) |
92 | GNOMAD | ss2731129128 | Nov 08, 2017 (151) |
93 | GNOMAD | ss2746218113 | Nov 08, 2017 (151) |
94 | GNOMAD | ss2751709562 | Nov 08, 2017 (151) |
95 | AFFY | ss2984845574 | Nov 08, 2017 (151) |
96 | SWEGEN | ss2986308731 | Nov 08, 2017 (151) |
97 | ILLUMINA | ss3021055208 | Nov 08, 2017 (151) |
98 | BIOINF_KMB_FNS_UNIBA | ss3023537022 | Nov 08, 2017 (151) |
99 | CSHL | ss3343321188 | Nov 08, 2017 (151) |
100 | ILLUMINA | ss3626027995 | Oct 11, 2018 (152) |
101 | ILLUMINA | ss3626027996 | Oct 11, 2018 (152) |
102 | ILLUMINA | ss3630516820 | Oct 11, 2018 (152) |
103 | ILLUMINA | ss3632881061 | Oct 11, 2018 (152) |
104 | ILLUMINA | ss3633574912 | Oct 11, 2018 (152) |
105 | ILLUMINA | ss3634307315 | Oct 11, 2018 (152) |
106 | ILLUMINA | ss3634307316 | Oct 11, 2018 (152) |
107 | ILLUMINA | ss3635269032 | Oct 11, 2018 (152) |
108 | ILLUMINA | ss3635983520 | Oct 11, 2018 (152) |
109 | ILLUMINA | ss3637019399 | Oct 11, 2018 (152) |
110 | ILLUMINA | ss3637737899 | Oct 11, 2018 (152) |
111 | ILLUMINA | ss3638890117 | Oct 11, 2018 (152) |
112 | ILLUMINA | ss3639441955 | Oct 11, 2018 (152) |
113 | ILLUMINA | ss3640014679 | Oct 11, 2018 (152) |
114 | ILLUMINA | ss3640014680 | Oct 11, 2018 (152) |
115 | ILLUMINA | ss3640975004 | Oct 11, 2018 (152) |
116 | ILLUMINA | ss3641268855 | Oct 11, 2018 (152) |
117 | ILLUMINA | ss3642751647 | Oct 11, 2018 (152) |
118 | ILLUMINA | ss3644480771 | Oct 11, 2018 (152) |
119 | OMUKHERJEE_ADBS | ss3646221551 | Oct 11, 2018 (152) |
120 | ILLUMINA | ss3651379287 | Oct 11, 2018 (152) |
121 | ILLUMINA | ss3651379288 | Oct 11, 2018 (152) |
122 | ILLUMINA | ss3653619219 | Oct 11, 2018 (152) |
123 | EGCUT_WGS | ss3654409550 | Jul 12, 2019 (153) |
124 | EVA_DECODE | ss3686179619 | Jul 12, 2019 (153) |
125 | ILLUMINA | ss3724997193 | Jul 12, 2019 (153) |
126 | ACPOP | ss3726797155 | Jul 12, 2019 (153) |
127 | ILLUMINA | ss3744608296 | Jul 12, 2019 (153) |
128 | ILLUMINA | ss3744608297 | Jul 12, 2019 (153) |
129 | EVA | ss3745839061 | Jul 12, 2019 (153) |
130 | PAGE_CC | ss3770786137 | Jul 12, 2019 (153) |
131 | ILLUMINA | ss3772109904 | Jul 12, 2019 (153) |
132 | KHV_HUMAN_GENOMES | ss3798859607 | Jul 12, 2019 (153) |
133 | EVA | ss3823561438 | Apr 25, 2020 (154) |
134 | EVA | ss3825553787 | Apr 25, 2020 (154) |
135 | EVA | ss3826027264 | Apr 25, 2020 (154) |
136 | EVA | ss3836400497 | Apr 25, 2020 (154) |
137 | EVA | ss3841804678 | Apr 25, 2020 (154) |
138 | HGDP | ss3847324703 | Apr 25, 2020 (154) |
139 | SGDP_PRJ | ss3848210340 | Apr 25, 2020 (154) |
140 | KRGDB | ss3893096864 | Apr 25, 2020 (154) |
141 | KOGIC | ss3943842757 | Apr 25, 2020 (154) |
142 | FSA-LAB | ss3983916446 | Apr 25, 2021 (155) |
143 | FSA-LAB | ss3983916447 | Apr 25, 2021 (155) |
144 | EVA | ss3984447013 | Apr 25, 2021 (155) |
145 | EVA | ss3984452284 | Apr 25, 2021 (155) |
146 | EVA | ss3984778957 | Apr 25, 2021 (155) |
147 | EVA | ss3986008537 | Apr 25, 2021 (155) |
148 | EVA | ss3986099575 | Apr 25, 2021 (155) |
149 | EVA | ss4016893784 | Apr 25, 2021 (155) |
150 | TOPMED | ss4439478604 | Apr 25, 2021 (155) |
151 | TOMMO_GENOMICS | ss5142513196 | Apr 25, 2021 (155) |
152 | EVA | ss5236864381 | Apr 25, 2021 (155) |
153 | EVA | ss5237260153 | Apr 25, 2021 (155) |
154 | EVA | ss5237630976 | Oct 12, 2022 (156) |
155 | 1000G_HIGH_COVERAGE | ss5241204971 | Oct 12, 2022 (156) |
156 | TRAN_CS_UWATERLOO | ss5314394567 | Oct 12, 2022 (156) |
157 | EVA | ss5314593592 | Oct 12, 2022 (156) |
158 | EVA | ss5316801520 | Oct 12, 2022 (156) |
159 | HUGCELL_USP | ss5442406117 | Oct 12, 2022 (156) |
160 | 1000G_HIGH_COVERAGE | ss5512975190 | Oct 12, 2022 (156) |
161 | EVA | ss5623987572 | Oct 12, 2022 (156) |
162 | SANFORD_IMAGENETICS | ss5624196714 | Oct 12, 2022 (156) |
163 | SANFORD_IMAGENETICS | ss5624940979 | Oct 12, 2022 (156) |
164 | TOMMO_GENOMICS | ss5666827727 | Oct 12, 2022 (156) |
165 | EVA | ss5799407254 | Oct 12, 2022 (156) |
166 | EVA | ss5799475295 | Oct 12, 2022 (156) |
167 | EVA | ss5800045443 | Oct 12, 2022 (156) |
168 | EVA | ss5800077935 | Oct 12, 2022 (156) |
169 | YY_MCH | ss5800330068 | Oct 12, 2022 (156) |
170 | EVA | ss5831550901 | Oct 12, 2022 (156) |
171 | EVA | ss5847152763 | Oct 12, 2022 (156) |
172 | EVA | ss5847525802 | Oct 12, 2022 (156) |
173 | EVA | ss5848248377 | Oct 12, 2022 (156) |
174 | EVA | ss5848787212 | Oct 12, 2022 (156) |
175 | EVA | ss5907075839 | Oct 12, 2022 (156) |
176 | EVA | ss5936767765 | Oct 12, 2022 (156) |
177 | EVA | ss5979263270 | Oct 12, 2022 (156) |
178 | EVA | ss5979933929 | Oct 12, 2022 (156) |
179 | 1000Genomes | NC_000001.10 - 12252955 | Oct 11, 2018 (152) |
180 | 1000Genomes_30x | NC_000001.11 - 12192898 | Oct 12, 2022 (156) |
181 | The Avon Longitudinal Study of Parents and Children | NC_000001.10 - 12252955 | Oct 11, 2018 (152) |
182 | Genetic variation in the Estonian population | NC_000001.10 - 12252955 | Oct 11, 2018 (152) |
183 | ExAC | NC_000001.10 - 12252955 | Oct 11, 2018 (152) |
184 | FINRISK | NC_000001.10 - 12252955 | Apr 25, 2020 (154) |
185 | The Danish reference pan genome | NC_000001.10 - 12252955 | Apr 25, 2020 (154) |
186 | gnomAD - Genomes | NC_000001.11 - 12192898 | Apr 25, 2021 (155) |
187 | gnomAD - Exomes | NC_000001.10 - 12252955 | Jul 12, 2019 (153) |
188 | GO Exome Sequencing Project | NC_000001.10 - 12252955 | Oct 11, 2018 (152) |
189 | Genome of the Netherlands Release 5 | NC_000001.10 - 12252955 | Apr 25, 2020 (154) |
190 | HGDP-CEPH-db Supplement 1 | NC_000001.9 - 12175542 | Apr 25, 2020 (154) |
191 | HapMap | NC_000001.11 - 12192898 | Apr 25, 2020 (154) |
192 | KOREAN population from KRGDB | NC_000001.10 - 12252955 | Apr 25, 2020 (154) |
193 | Korean Genome Project | NC_000001.11 - 12192898 | Apr 25, 2020 (154) |
194 | Medical Genome Project healthy controls from Spanish population | NC_000001.10 - 12252955 | Apr 25, 2020 (154) |
195 | Northern Sweden | NC_000001.10 - 12252955 | Jul 12, 2019 (153) |
196 | The PAGE Study | NC_000001.11 - 12192898 | Jul 12, 2019 (153) |
197 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000001.10 - 12252955 | Apr 25, 2021 (155) |
198 | CNV burdens in cranial meningiomas | NC_000001.10 - 12252955 | Apr 25, 2021 (155) |
199 | MxGDAR/Encodat-PGx | NC_000001.10 - 12252955 | Apr 25, 2021 (155) |
200 | Qatari | NC_000001.10 - 12252955 | Apr 25, 2020 (154) |
201 | SGDP_PRJ | NC_000001.10 - 12252955 | Apr 25, 2020 (154) |
202 | Siberian | NC_000001.10 - 12252955 | Apr 25, 2020 (154) |
203 | 8.3KJPN | NC_000001.10 - 12252955 | Apr 25, 2021 (155) |
204 | 14KJPN | NC_000001.11 - 12192898 | Oct 12, 2022 (156) |
205 | TopMed | NC_000001.11 - 12192898 | Apr 25, 2021 (155) |
206 | UK 10K study - Twins | NC_000001.10 - 12252955 | Oct 11, 2018 (152) |
207 | A Vietnamese Genetic Variation Database | NC_000001.10 - 12252955 | Jul 12, 2019 (153) |
208 | ALFA | NC_000001.11 - 12192898 | Apr 25, 2021 (155) |
209 | ClinVar | RCV001354054.1 | Oct 12, 2022 (156) |
210 | ClinVar | RCV001836993.1 | Oct 12, 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) |
---|---|
rs1681698 | Jun 15, 2001 (96) |
rs2228492 | Jan 04, 2002 (102) |
rs13306722 | Sep 24, 2004 (123) |
rs17037789 | Oct 07, 2004 (123) |
rs17883437 | Mar 10, 2006 (126) |
rs52797629 | Sep 21, 2007 (128) |
rs60195947 | May 25, 2008 (130) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
ss80885031, ss3638890117, ss3639441955 | NC_000001.8:12187220:T:G | NC_000001.11:12192897:T:G | (self) |
2595, ss107996605, ss110065962, ss118501986, ss159911628, ss163082387, ss163838614, ss198030314, ss244269725, ss252920300, ss275716410, ss479321523, ss491584774, ss825346753, ss1584221428, ss1712311709, ss3642751647, ss3847324703 | NC_000001.9:12175541:T:G | NC_000001.11:12192897:T:G | (self) |
391214, 204136, 147798, 4489062, 1216, 1392171, 145713, 20163, 86922, 274258, 5474, 82020, 4884, 1585, 14, 105425, 227320, 60355, 482503, 204136, 42696, ss218240051, ss230428826, ss238143835, ss341933995, ss479324713, ss479712401, ss484461056, ss489721546, ss491286397, ss536625169, ss553804952, ss647580139, ss778361807, ss780763980, ss782677088, ss783443155, ss783645676, ss831927833, ss832650134, ss833240823, ss833816588, ss974433282, ss974863387, ss1067416294, ss1067675021, ss1289714033, ss1425714675, ss1573891240, ss1584004755, ss1599563907, ss1642557940, ss1685309303, ss1710888722, ss1751867515, ss1793916180, ss1918063495, ss1958242109, ss2019545589, ss2094953256, ss2147544001, ss2632478497, ss2697440793, ss2731129128, ss2746218113, ss2751709562, ss2984845574, ss2986308731, ss3021055208, ss3343321188, ss3626027995, ss3626027996, ss3630516820, ss3632881061, ss3633574912, ss3634307315, ss3634307316, ss3635269032, ss3635983520, ss3637019399, ss3637737899, ss3640014679, ss3640014680, ss3640975004, ss3641268855, ss3644480771, ss3646221551, ss3651379287, ss3651379288, ss3653619219, ss3654409550, ss3726797155, ss3744608296, ss3744608297, ss3745839061, ss3772109904, ss3823561438, ss3825553787, ss3826027264, ss3836400497, ss3848210340, ss3893096864, ss3983916446, ss3983916447, ss3984447013, ss3984452284, ss3984778957, ss3986008537, ss3986099575, ss4016893784, ss5142513196, ss5237260153, ss5314593592, ss5316801520, ss5623987572, ss5624196714, ss5624940979, ss5799407254, ss5799475295, ss5800045443, ss5800077935, ss5831550901, ss5847152763, ss5847525802, ss5848248377, ss5936767765, ss5979263270, ss5979933929 | NC_000001.10:12252954:T:G | NC_000001.11:12192897:T:G | (self) |
RCV001354054.1, RCV001836993.1, 501125, 2718234, 14685, 220758, 7606, 664831, 3084939, 5252962578, ss2160112160, ss3023537022, ss3686179619, ss3724997193, ss3770786137, ss3798859607, ss3841804678, ss3943842757, ss4439478604, ss5236864381, ss5237630976, ss5241204971, ss5314394567, ss5442406117, ss5512975190, ss5666827727, ss5800330068, ss5848787212, ss5907075839 | NC_000001.11:12192897:T:G | NC_000001.11:12192897:T:G | (self) |
ss2510856, ss3173181, ss3182272, ss7990727, ss12568611, ss22887876, ss23845243, ss28528913, ss48421604, ss52088967, ss65724812, ss65836872, ss66666521, ss66857595, ss66896589, ss67006743, ss68758710, ss70377142, ss70492642, ss71017335, ss74811944, ss75726432, ss76870039, ss83676225, ss86341825, ss120035931, ss121373522, ss152797129, ss159137474, ss159696121, ss169574283, ss170399408 | NT_021937.19:8257686:T:G | NC_000001.11:12192897:T:G | (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 |
---|---|---|---|---|
15113403 | Current limitations of SNP data from the public domain for studies of complex disorders: a test for ten candidate genes for obesity and osteoporosis. | Dvornyk V et al. | 2004 | BMC genetics |
16109524 | Preparation and analysis of cSNP chip on hepatocellular carcinoma-related genes. | Wang J et al. | 2005 | Hepatobiliary & pancreatic diseases international |
16380915 | Replication of putative candidate-gene associations with rheumatoid arthritis in >4,000 samples from North America and Sweden: association of susceptibility with PTPN22, CTLA4, and PADI4. | Plenge RM et al. | 2005 | American journal of human genetics |
17705862 | Optimization of candidate-gene SNP-genotyping by flexible oligonucleotide microarrays; analyzing variations in immune regulator genes of hay-fever samples. | Pullat J et al. | 2007 | BMC genomics |
18248655 | Genetic polymorphisms of tumour necrosis factor receptor superfamily 1A and 1B affect responses to infliximab in Japanese patients with Crohn's disease. | Matsukura H et al. | 2008 | Alimentary pharmacology & therapeutics |
18385279 | The tumour necrosis factor receptor superfamily member 1b 676T>G polymorphism in relation to response to infliximab and adalimumab treatment and disease severity in rheumatoid arthritis. | Toonen EJ et al. | 2008 | Annals of the rheumatic diseases |
18466472 | Constructing gene association networks for rheumatoid arthritis using the backward genotype-trait association (BGTA) algorithm. | Ding Y et al. | 2007 | BMC proceedings |
18466513 | Evaluating gene x gene and gene x smoking interaction in rheumatoid arthritis using candidate genes in GAW15. | Mei L et al. | 2007 | BMC proceedings |
18603647 | Functional genetic polymorphisms and female reproductive disorders: Part I: Polycystic ovary syndrome and ovarian response. | Simoni M et al. | 2008 | Human reproduction update |
18805939 | Functional genetic polymorphisms and female reproductive disorders: part II--endometriosis. | Tempfer CB et al. | 2009 | Human reproduction update |
19343543 | Association analysis of TNFRSF1B polymorphisms with type 2 diabetes and its related traits in North India. | Tabassum R et al. | 2008 | Genomic medicine |
19401444 | Body iron stores and glucose intolerance in premenopausal women: role of hyperandrogenism, insulin resistance, and genomic variants related to inflammation, oxidative stress, and iron metabolism. | Martínez-García MA et al. | 2009 | Diabetes care |
19421420 | Tumor necrosis factor receptor superfamily, member 1B haplotypes increase or decrease the risk of inflammatory bowel diseases in a New Zealand caucasian population. | Ferguson LR et al. | 2009 | Gastroenterology research and practice |
19684152 | Cigarette smoking, STAT4 and TNFRSF1B polymorphisms, and systemic lupus erythematosus in a Japanese population. | Kiyohara C et al. | 2009 | The Journal of rheumatology |
19773451 | Role of inflammation gene polymorphisms on pain severity in lung cancer patients. | Reyes-Gibby CC et al. | 2009 | Cancer epidemiology, biomarkers & prevention |
20007930 | A functional haplotype in the 3'untranslated region of TNFRSF1B is associated with tuberculosis in two African populations. | Möller M et al. | 2010 | American journal of respiratory and critical care medicine |
20018049 | Evaluation of an optimal receiver operating characteristic procedure. | Jeffries N et al. | 2009 | BMC proceedings |
20309765 | Bagging optimal ROC curve method for predictive genetic tests, with an application for rheumatoid arthritis. | Lu Q et al. | 2010 | Journal of biopharmaceutical statistics |
20357209 | Molecular genetic studies of gene identification for osteoporosis: the 2009 update. | Xu XH et al. | 2010 | Endocrine reviews |
20646319 | TNFRSF1B A1466G genotype is predictive of clinical efficacy after treatment with a definitive 5-fluorouracil/cisplatin-based chemoradiotherapy in Japanese patients with esophageal squamous cell carcinoma. | Kuwahara A et al. | 2010 | Journal of experimental & clinical cancer research |
20811626 | Genetic variants in inflammation-related genes are associated with radiation-induced toxicity following treatment for non-small cell lung cancer. | Hildebrandt MA et al. | 2010 | PloS one |
21760883 | Genetic determinants of UV-susceptibility in non-melanoma skin cancer. | Welsh MM et al. | 2011 | PloS one |
21776368 | Association of TNF-857C>T, TNFRSF1A36A>G, and TNFRSF1B676T>G Polymorphisms with Ischemic Stroke in a Greek Population. | Markoula S et al. | 2011 | Stroke research and treatment |
21849023 | No association of TNFRSF1B variants with type 2 diabetes in Indians of Indo-European origin. | Tabassum R et al. | 2011 | BMC medical genetics |
21995493 | TNFRSF1B +676 T>G polymorphism predicts survival of non-small cell lung cancer patients treated with chemoradiotherapy. | Guan X et al. | 2011 | BMC cancer |
22860894 | Genetic polymorphisms of tumour necrosis factor receptor superfamily 1b and fas ligand are associated with clinical efficacy and/or acute severe infusion reactions to infliximab in Crohn's disease. | Steenholdt C et al. | 2012 | Alimentary pharmacology & therapeutics |
22921902 | The methionine 196 arginine polymorphism of the TNF receptor 2 gene (TNFRSF1B) is not associated with worse outcomes in heart failure. | McTiernan CF et al. | 2012 | Cytokine |
22984424 | Both baseline clinical factors and genetic polymorphisms influence the development of severe functional status in ankylosing spondylitis. | Schiotis R et al. | 2012 | PloS one |
23029405 | Genetic variation in the TNF gene is associated with susceptibility to severe sepsis, but not with mortality. | Song Z et al. | 2012 | PloS one |
23238918 | Genome-wide pathway analysis of a genome-wide association study on multiple sclerosis. | Song GG et al. | 2013 | Molecular biology reports |
23422753 | Genetic mapping and exome sequencing identify 2 mutations associated with stroke protection in pediatric patients with sickle cell anemia. | Flanagan JM et al. | 2013 | Blood |
23720679 | Prognostic assessment of apoptotic gene polymorphisms in non-small cell lung cancer in Chinese. | Cao S et al. | 2013 | Journal of biomedical research |
23799986 | Maternal tumor necrosis factor receptor 2 gene variants associated with pre-eclampsia in Tunisian women. | Said L et al. | 2013 | The journal of obstetrics and gynaecology research |
23839018 | TNFRSF10B polymorphisms and haplotypes associated with increased risk of death in non-small cell lung cancer. | Schabath MB et al. | 2013 | Carcinogenesis |
24069534 | Genetics of psoriasis and pharmacogenetics of biological drugs. | Prieto-Pérez R et al. | 2013 | Autoimmune diseases |
24121042 | Role of TNFRSF1B polymorphisms in the response of Crohn's disease patients to infliximab. | Medrano LM et al. | 2014 | Human immunology |
24337767 | Candidate's single-nucleotide polymorphism predictors of treatment nonresponse to the first anti-TNF inhibitor in ankylosing spondylitis. | Schiotis R et al. | 2014 | Rheumatology international |
25010932 | Association of TNF-α, TNFRSF1A and TNFRSF1B gene polymorphisms with the risk of sporadic breast cancer in northeast Chinese Han women. | Xu F et al. | 2014 | PloS one |
25075970 | The associations between immunity-related genes and breast cancer prognosis in Korean women. | Choi J et al. | 2014 | PloS one |
25537528 | The TNFRSF1B rs1061622 polymorphism (p.M196R) is associated with biological drug outcome in Psoriasis patients. | González-Lara L et al. | 2015 | Archives of dermatological research |
26071216 | The tumor necrosis factor receptor superfamily member 1B polymorphisms predict response to anti-TNF therapy in patients with autoimmune disease: A meta-analysis. | Chen W et al. | 2015 | International immunopharmacology |
26861312 | Association between Genetic Polymorphisms and Response to Anti-TNFs in Patients with Inflammatory Bowel Disease. | Prieto-Pérez R et al. | 2016 | International journal of molecular sciences |
26870349 | Impact of single-nucleotide polymorphisms on radiation pneumonitis in cancer patients. | Guo CX et al. | 2016 | Molecular and clinical oncology |
27247849 | Genetic variation and cognitive dysfunction in opioid-treated patients with cancer. | Kurita GP et al. | 2016 | Brain and behavior |
27417569 | Systematic review: genetic biomarkers associated with anti-TNF treatment response in inflammatory bowel diseases. | Bek S et al. | 2016 | Alimentary pharmacology & therapeutics |
27555379 | Genetic Contributions of Inflammation to Depression. | Barnes J et al. | 2017 | Neuropsychopharmacology |
27640805 | Association of TNFRSF1B +676 gene polymorphism with the risk of rheumatoid arthritis in Han Chinese population in Hunan. | Xie X et al. | 2016 | Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences |
28750567 | Impact of pharmacogenomics upon the therapeutic response to etanercept in psoriasis and psoriatic arthritis. | Murdaca G et al. | 2017 | Expert opinion on drug safety |
28867280 | Interaction between childhood maltreatment on immunogenetic risk in depression: Discovery and replication in clinical case-control samples. | Cohen-Woods S et al. | 2018 | Brain, behavior, and immunity |
29285231 | Associations between TNFSF4, TNFSF8 and TNFSF15 and Behçet's disease but not VKH syndrome in Han Chinese. | Jiang Y et al. | 2017 | Oncotarget |
29799484 | Reduced Recovery of Depression in Female T Allele Carriers of TNF-RII rs1061622 at Earlier Stage after Wenchuan Earthquake. | Memon NH et al. | 2018 | International journal of environmental research and public health |
29915336 | The association between TNFR gene polymorphisms and the risk of Hepatitis B Virus-Related Liver Diseases in Chinese population. | Ma L et al. | 2018 | Scientific reports |
30075559 | Role of TNFRSF1A and TNFRSF1B polymorphisms in susceptibility, severity, and therapeutic efficacy of etanercept in human leukocyte antigen-B27-positive Chinese Han patients with ankylosing spondylitis. | Xing-Rong W et al. | 2018 | Medicine |
30206443 | Genetic polymorphism in psoriasis and its meaning for the treatment efficacy in the future. | Osmola-Mańkowska A et al. | 2018 | Postepy dermatologii i alergologii |
30472484 | TNFα -857 C/T and TNFR2 +587 T/G polymorphisms are associated with cystic fibrosis in Iranian patients. | Hassanzad M et al. | 2019 | European journal of medical genetics |
31734995 | [Study of tumor necrosis factor receptor superfamily 1B gene polymorphism in relation to the outcomes of HCV infection]. | Zhu P et al. | 2019 | Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology |
32559305 | Increased TG/HDL-C in female G allele carriers of rs1061622 at gene of tumour necrosis factor receptor 2 with suicidal ideation. | Si YJ et al. | 2020 | European journal of clinical investigation |
33716716 | TNFRSF1B Gene Variants and Related Soluble TNFR2 Levels Impact Resilience in Alzheimer's Disease. | Pillai JA et al. | 2021 | Frontiers in aging neuroscience |
35294530 | TNFRSF1B and TNF Variants Are Associated With Differences in Levels of Soluble Tumor Necrosis Factor Receptors in Patients With Severe COVID-19. | Fricke-Galindo I et al. | 2022 | The Journal of infectious diseases |
35629038 | Searching for New Genetic Biomarkers of Axial Spondyloarthritis. | Bugaj B et al. | 2022 | Journal of clinical medicine |
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.