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.
rs12083537
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr1:154408627 (GRCh38.p14) Help
The anchor position for this RefSNP. Includes all nucleotides potentially affected by this change, thus it can differ from HGVS, which is right-shifted. See here for details.
- Alleles
- A>G
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
G=0.219770 (58171/264690, TOPMED)G=0.225327 (31526/139912, GnomAD)G=0.21652 (17040/78698, PAGE_STUDY) (+ 19 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
- IL6R : Intron Variant
- Publications
- 17 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 | 36012 | A=0.79121 | G=0.20879 |
European | Sub | 29054 | A=0.79645 | G=0.20355 |
African | Sub | 3604 | A=0.7109 | G=0.2891 |
African Others | Sub | 124 | A=0.726 | G=0.274 |
African American | Sub | 3480 | A=0.7103 | G=0.2897 |
Asian | Sub | 162 | A=0.914 | G=0.086 |
East Asian | Sub | 134 | A=0.903 | G=0.097 |
Other Asian | Sub | 28 | A=0.96 | G=0.04 |
Latin American 1 | Sub | 168 | A=0.827 | G=0.173 |
Latin American 2 | Sub | 700 | A=0.863 | G=0.137 |
South Asian | Sub | 120 | A=0.867 | G=0.133 |
Other | Sub | 2204 | A=0.8149 | G=0.1851 |
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 | A=0.780230 | G=0.219770 |
gnomAD - Genomes | Global | Study-wide | 139912 | A=0.774673 | G=0.225327 |
gnomAD - Genomes | European | Sub | 75806 | A=0.79086 | G=0.20914 |
gnomAD - Genomes | African | Sub | 41894 | A=0.70898 | G=0.29102 |
gnomAD - Genomes | American | Sub | 13614 | A=0.82856 | G=0.17144 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3318 | A=0.8586 | G=0.1414 |
gnomAD - Genomes | East Asian | Sub | 3130 | A=0.9163 | G=0.0837 |
gnomAD - Genomes | Other | Sub | 2150 | A=0.8070 | G=0.1930 |
The PAGE Study | Global | Study-wide | 78698 | A=0.78348 | G=0.21652 |
The PAGE Study | AfricanAmerican | Sub | 32516 | A=0.70627 | G=0.29373 |
The PAGE Study | Mexican | Sub | 10808 | A=0.87620 | G=0.12380 |
The PAGE Study | Asian | Sub | 8318 | A=0.8526 | G=0.1474 |
The PAGE Study | PuertoRican | Sub | 7918 | A=0.7849 | G=0.2151 |
The PAGE Study | NativeHawaiian | Sub | 4534 | A=0.9052 | G=0.0948 |
The PAGE Study | Cuban | Sub | 4228 | A=0.7862 | G=0.2138 |
The PAGE Study | Dominican | Sub | 3828 | A=0.7563 | G=0.2437 |
The PAGE Study | CentralAmerican | Sub | 2450 | A=0.8514 | G=0.1486 |
The PAGE Study | SouthAmerican | Sub | 1982 | A=0.8698 | G=0.1302 |
The PAGE Study | NativeAmerican | Sub | 1260 | A=0.8230 | G=0.1770 |
The PAGE Study | SouthAsian | Sub | 856 | A=0.871 | G=0.129 |
Allele Frequency Aggregator | Total | Global | 32196 | A=0.79022 | G=0.20978 |
Allele Frequency Aggregator | European | Sub | 25462 | A=0.79589 | G=0.20411 |
Allele Frequency Aggregator | African | Sub | 3602 | A=0.7110 | G=0.2890 |
Allele Frequency Aggregator | Other | Sub | 1982 | A=0.8179 | G=0.1821 |
Allele Frequency Aggregator | Latin American 2 | Sub | 700 | A=0.863 | G=0.137 |
Allele Frequency Aggregator | Latin American 1 | Sub | 168 | A=0.827 | G=0.173 |
Allele Frequency Aggregator | Asian | Sub | 162 | A=0.914 | G=0.086 |
Allele Frequency Aggregator | South Asian | Sub | 120 | A=0.867 | G=0.133 |
14KJPN | JAPANESE | Study-wide | 28256 | A=0.86410 | G=0.13590 |
8.3KJPN | JAPANESE | Study-wide | 16760 | A=0.86337 | G=0.13663 |
1000Genomes_30x | Global | Study-wide | 6404 | A=0.7968 | G=0.2032 |
1000Genomes_30x | African | Sub | 1786 | A=0.6764 | G=0.3236 |
1000Genomes_30x | Europe | Sub | 1266 | A=0.8033 | G=0.1967 |
1000Genomes_30x | South Asian | Sub | 1202 | A=0.8403 | G=0.1597 |
1000Genomes_30x | East Asian | Sub | 1170 | A=0.8983 | G=0.1017 |
1000Genomes_30x | American | Sub | 980 | A=0.834 | G=0.166 |
1000Genomes | Global | Study-wide | 5008 | A=0.7987 | G=0.2013 |
1000Genomes | African | Sub | 1322 | A=0.6725 | G=0.3275 |
1000Genomes | East Asian | Sub | 1008 | A=0.8899 | G=0.1101 |
1000Genomes | Europe | Sub | 1006 | A=0.8072 | G=0.1928 |
1000Genomes | South Asian | Sub | 978 | A=0.842 | G=0.158 |
1000Genomes | American | Sub | 694 | A=0.834 | G=0.166 |
Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | A=0.8335 | G=0.1665 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | A=0.7937 | G=0.2063 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | A=0.7843 | G=0.2157 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | A=0.8710 | G=0.1290 |
Korean Genome Project | KOREAN | Study-wide | 1832 | A=0.8816 | G=0.1184 |
Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | A=0.809 | G=0.191 |
CNV burdens in cranial meningiomas | Global | Study-wide | 790 | A=0.913 | G=0.087 |
CNV burdens in cranial meningiomas | CRM | Sub | 790 | A=0.913 | G=0.087 |
Northern Sweden | ACPOP | Study-wide | 600 | A=0.820 | G=0.180 |
HapMap | Global | Study-wide | 318 | A=0.814 | G=0.186 |
HapMap | African | Sub | 120 | A=0.767 | G=0.233 |
HapMap | American | Sub | 112 | A=0.848 | G=0.152 |
HapMap | Asian | Sub | 86 | A=0.84 | G=0.16 |
Qatari | Global | Study-wide | 216 | A=0.838 | G=0.162 |
A Vietnamese Genetic Variation Database | Global | Study-wide | 212 | A=0.896 | G=0.104 |
SGDP_PRJ | Global | Study-wide | 160 | A=0.438 | G=0.562 |
The Danish reference pan genome | Danish | Study-wide | 40 | A=0.85 | G=0.15 |
Siberian | Global | Study-wide | 12 | A=0.33 | G=0.67 |
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.154408627A>G |
GRCh37.p13 chr 1 | NC_000001.10:g.154381103A>G |
IL6R RefSeqGene | NG_012087.1:g.8435A>G |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
IL6R transcript variant 1 | NM_000565.4:c.85+2913A>G | N/A | Intron Variant |
IL6R transcript variant 3 |
NM_001206866.2:c.85+2913A… NM_001206866.2:c.85+2913A>G |
N/A | Intron Variant |
IL6R transcript variant 4 |
NM_001382769.1:c.85+2913A… NM_001382769.1:c.85+2913A>G |
N/A | Intron Variant |
IL6R transcript variant 5 |
NM_001382770.1:c.85+2913A… NM_001382770.1:c.85+2913A>G |
N/A | Intron Variant |
IL6R transcript variant 6 |
NM_001382771.1:c.85+2913A… NM_001382771.1:c.85+2913A>G |
N/A | Intron Variant |
IL6R transcript variant 7 |
NM_001382772.1:c.85+2913A… NM_001382772.1:c.85+2913A>G |
N/A | Intron Variant |
IL6R transcript variant 8 |
NM_001382773.1:c.85+2913A… NM_001382773.1:c.85+2913A>G |
N/A | Intron Variant |
IL6R transcript variant 9 |
NM_001382774.1:c.85+2913A… NM_001382774.1:c.85+2913A>G |
N/A | Intron Variant |
IL6R transcript variant 2 | NM_181359.3:c.85+2913A>G | N/A | Intron Variant |
IL6R transcript variant X8 |
XM_005245139.2:c.85+2913A… XM_005245139.2:c.85+2913A>G |
N/A | Intron Variant |
IL6R transcript variant X1 |
XM_017001199.2:c.85+2913A… XM_017001199.2:c.85+2913A>G |
N/A | Intron Variant |
IL6R transcript variant X5 |
XM_047419654.1:c.85+2913A… XM_047419654.1:c.85+2913A>G |
N/A | Intron Variant |
IL6R transcript variant X6 |
XM_047419655.1:c.85+2913A… XM_047419655.1:c.85+2913A>G |
N/A | Intron Variant |
IL6R transcript variant X7 |
XM_047419656.1:c.85+2913A… XM_047419656.1:c.85+2913A>G |
N/A | Intron Variant |
IL6R transcript variant X9 |
XM_047419657.1:c.85+2913A… XM_047419657.1:c.85+2913A>G |
N/A | Intron Variant |
IL6R transcript variant X2 | XM_047419648.1:c. | N/A | Genic Upstream Transcript Variant |
IL6R transcript variant X3 | XM_047419649.1:c. | N/A | Genic Upstream Transcript Variant |
IL6R transcript variant X4 | XM_047419650.1:c. | N/A | Genic Upstream Transcript 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.
Aliases tab displays HGVS names representing the variant placements and allele changes on genomic, transcript and protein sequences, per allele. HGVS name is an expression for reporting sequence accession and version, sequence type, position, and allele change. The column "Note" can have two values: "diff" means that there is a difference between the reference allele (variation interval) at the placement reported in HGVS name and the reference alleles reported in other HGVS names, and "rev" means that the sequence of this variation interval at the placement reported in HGVS name is in reverse orientation to the sequence(s) of this variation in other HGVS names not labeled as "rev".
Placement | A= | G |
---|---|---|
GRCh38.p14 chr 1 | NC_000001.11:g.154408627= | NC_000001.11:g.154408627A>G |
GRCh37.p13 chr 1 | NC_000001.10:g.154381103= | NC_000001.10:g.154381103A>G |
IL6R RefSeqGene | NG_012087.1:g.8435= | NG_012087.1:g.8435A>G |
IL6R transcript variant 1 | NM_000565.3:c.85+2913= | NM_000565.3:c.85+2913A>G |
IL6R transcript variant 1 | NM_000565.4:c.85+2913= | NM_000565.4:c.85+2913A>G |
IL6R transcript variant 3 | NM_001206866.1:c.85+2913= | NM_001206866.1:c.85+2913A>G |
IL6R transcript variant 3 | NM_001206866.2:c.85+2913= | NM_001206866.2:c.85+2913A>G |
IL6R transcript variant 4 | NM_001382769.1:c.85+2913= | NM_001382769.1:c.85+2913A>G |
IL6R transcript variant 5 | NM_001382770.1:c.85+2913= | NM_001382770.1:c.85+2913A>G |
IL6R transcript variant 6 | NM_001382771.1:c.85+2913= | NM_001382771.1:c.85+2913A>G |
IL6R transcript variant 7 | NM_001382772.1:c.85+2913= | NM_001382772.1:c.85+2913A>G |
IL6R transcript variant 8 | NM_001382773.1:c.85+2913= | NM_001382773.1:c.85+2913A>G |
IL6R transcript variant 9 | NM_001382774.1:c.85+2913= | NM_001382774.1:c.85+2913A>G |
IL6R transcript variant 2 | NM_181359.2:c.85+2913= | NM_181359.2:c.85+2913A>G |
IL6R transcript variant 2 | NM_181359.3:c.85+2913= | NM_181359.3:c.85+2913A>G |
IL6R transcript variant X6 | XM_005245139.1:c.85+2913= | XM_005245139.1:c.85+2913A>G |
IL6R transcript variant X8 | XM_005245139.2:c.85+2913= | XM_005245139.2:c.85+2913A>G |
IL6R transcript variant X4 | XM_005245140.1:c.85+2913= | XM_005245140.1:c.85+2913A>G |
IL6R transcript variant X1 | XM_017001199.2:c.85+2913= | XM_017001199.2:c.85+2913A>G |
IL6R transcript variant X5 | XM_047419654.1:c.85+2913= | XM_047419654.1:c.85+2913A>G |
IL6R transcript variant X6 | XM_047419655.1:c.85+2913= | XM_047419655.1:c.85+2913A>G |
IL6R transcript variant X7 | XM_047419656.1:c.85+2913= | XM_047419656.1:c.85+2913A>G |
IL6R transcript variant X9 | XM_047419657.1:c.85+2913= | XM_047419657.1:c.85+2913A>G |
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_SNP | ss18185741 | Feb 28, 2004 (120) |
2 | SSAHASNP | ss20531031 | Apr 05, 2004 (121) |
3 | ABI | ss41280144 | Mar 14, 2006 (126) |
4 | BCMHGSC_JDW | ss87824158 | Mar 23, 2008 (129) |
5 | HUMANGENOME_JCVI | ss97974761 | Feb 05, 2009 (130) |
6 | BGI | ss102785535 | Dec 01, 2009 (131) |
7 | 1000GENOMES | ss108598290 | Jan 23, 2009 (130) |
8 | ENSEMBL | ss138083064 | Dec 01, 2009 (131) |
9 | ENSEMBL | ss139211039 | Dec 01, 2009 (131) |
10 | COMPLETE_GENOMICS | ss167132154 | Jul 04, 2010 (132) |
11 | BUSHMAN | ss199084887 | Jul 04, 2010 (132) |
12 | BCM-HGSC-SUB | ss205383601 | Jul 04, 2010 (132) |
13 | 1000GENOMES | ss218650782 | Jul 14, 2010 (132) |
14 | 1000GENOMES | ss230731562 | Jul 14, 2010 (132) |
15 | 1000GENOMES | ss238379522 | Jul 15, 2010 (132) |
16 | ILLUMINA | ss244275259 | Jul 04, 2010 (132) |
17 | GMI | ss276050797 | May 04, 2012 (137) |
18 | PJP | ss290636842 | May 09, 2011 (134) |
19 | ILLUMINA | ss482106081 | May 04, 2012 (137) |
20 | ILLUMINA | ss483213860 | May 04, 2012 (137) |
21 | ILLUMINA | ss535433379 | Sep 08, 2015 (146) |
22 | TISHKOFF | ss554692742 | Apr 25, 2013 (138) |
23 | SSMP | ss648413331 | Apr 25, 2013 (138) |
24 | ILLUMINA | ss780193516 | Sep 08, 2015 (146) |
25 | ILLUMINA | ss782050275 | Sep 08, 2015 (146) |
26 | ILLUMINA | ss835677950 | Sep 08, 2015 (146) |
27 | EVA-GONL | ss975681487 | Aug 21, 2014 (142) |
28 | JMKIDD_LAB | ss1068268754 | Aug 21, 2014 (142) |
29 | 1000GENOMES | ss1292921052 | Aug 21, 2014 (142) |
30 | DDI | ss1425978611 | Apr 01, 2015 (144) |
31 | EVA_GENOME_DK | ss1574391362 | Apr 01, 2015 (144) |
32 | EVA_DECODE | ss1585062754 | Apr 01, 2015 (144) |
33 | EVA_UK10K_ALSPAC | ss1601211529 | Apr 01, 2015 (144) |
34 | EVA_UK10K_TWINSUK | ss1644205562 | Apr 01, 2015 (144) |
35 | HAMMER_LAB | ss1795090903 | Sep 08, 2015 (146) |
36 | WEILL_CORNELL_DGM | ss1918915371 | Feb 12, 2016 (147) |
37 | ILLUMINA | ss1958317360 | Feb 12, 2016 (147) |
38 | JJLAB | ss2019973203 | Sep 14, 2016 (149) |
39 | ILLUMINA | ss2094976232 | Dec 20, 2016 (150) |
40 | USC_VALOUEV | ss2147997653 | Dec 20, 2016 (150) |
41 | HUMAN_LONGEVITY | ss2166531227 | Dec 20, 2016 (150) |
42 | ILLUMINA | ss2632575929 | Nov 08, 2017 (151) |
43 | ILLUMINA | ss2635003244 | Nov 08, 2017 (151) |
44 | GRF | ss2697970492 | Nov 08, 2017 (151) |
45 | GNOMAD | ss2761302340 | Nov 08, 2017 (151) |
46 | SWEGEN | ss2987750243 | Nov 08, 2017 (151) |
47 | ILLUMINA | ss3021136050 | Nov 08, 2017 (151) |
48 | BIOINF_KMB_FNS_UNIBA | ss3023743729 | Nov 08, 2017 (151) |
49 | CSHL | ss3343710041 | Nov 08, 2017 (151) |
50 | ILLUMINA | ss3626208127 | Oct 11, 2018 (152) |
51 | ILLUMINA | ss3630608837 | Oct 11, 2018 (152) |
52 | ILLUMINA | ss3641616603 | Oct 11, 2018 (152) |
53 | URBANLAB | ss3646791027 | Oct 11, 2018 (152) |
54 | ILLUMINA | ss3651470234 | Oct 11, 2018 (152) |
55 | ILLUMINA | ss3651470235 | Oct 11, 2018 (152) |
56 | EGCUT_WGS | ss3655690185 | Jul 12, 2019 (153) |
57 | EVA_DECODE | ss3687779882 | Jul 12, 2019 (153) |
58 | ILLUMINA | ss3725065186 | Jul 12, 2019 (153) |
59 | ACPOP | ss3727484758 | Jul 12, 2019 (153) |
60 | EVA | ss3746806716 | Jul 12, 2019 (153) |
61 | PAGE_CC | ss3770840769 | Jul 12, 2019 (153) |
62 | KHV_HUMAN_GENOMES | ss3799808584 | Jul 12, 2019 (153) |
63 | EVA | ss3826423529 | Apr 25, 2020 (154) |
64 | EVA | ss3836606240 | Apr 25, 2020 (154) |
65 | EVA | ss3842015455 | Apr 25, 2020 (154) |
66 | SGDP_PRJ | ss3850004420 | Apr 25, 2020 (154) |
67 | KRGDB | ss3895210210 | Apr 25, 2020 (154) |
68 | KOGIC | ss3945648471 | Apr 25, 2020 (154) |
69 | EVA | ss3984464725 | Apr 25, 2021 (155) |
70 | TOPMED | ss4468259955 | Apr 25, 2021 (155) |
71 | TOMMO_GENOMICS | ss5146477461 | Apr 25, 2021 (155) |
72 | EVA | ss5237273994 | Apr 25, 2021 (155) |
73 | 1000G_HIGH_COVERAGE | ss5244289050 | Oct 17, 2022 (156) |
74 | EVA | ss5314650897 | Oct 17, 2022 (156) |
75 | EVA | ss5322042588 | Oct 17, 2022 (156) |
76 | HUGCELL_USP | ss5444882821 | Oct 17, 2022 (156) |
77 | 1000G_HIGH_COVERAGE | ss5517615271 | Oct 17, 2022 (156) |
78 | SANFORD_IMAGENETICS | ss5624218012 | Oct 17, 2022 (156) |
79 | SANFORD_IMAGENETICS | ss5626589383 | Oct 17, 2022 (156) |
80 | TOMMO_GENOMICS | ss5673671335 | Oct 17, 2022 (156) |
81 | YY_MCH | ss5801259205 | Oct 17, 2022 (156) |
82 | EVA | ss5832663967 | Oct 17, 2022 (156) |
83 | EVA | ss5847166815 | Oct 17, 2022 (156) |
84 | EVA | ss5847556301 | Oct 17, 2022 (156) |
85 | EVA | ss5849108455 | Oct 17, 2022 (156) |
86 | EVA | ss5910241014 | Oct 17, 2022 (156) |
87 | EVA | ss5938383067 | Oct 17, 2022 (156) |
88 | EVA | ss5979290036 | Oct 17, 2022 (156) |
89 | 1000Genomes | NC_000001.10 - 154381103 | Oct 11, 2018 (152) |
90 | 1000Genomes_30x | NC_000001.11 - 154408627 | Oct 17, 2022 (156) |
91 | The Avon Longitudinal Study of Parents and Children | NC_000001.10 - 154381103 | Oct 11, 2018 (152) |
92 | Genetic variation in the Estonian population | NC_000001.10 - 154381103 | Oct 11, 2018 (152) |
93 | The Danish reference pan genome | NC_000001.10 - 154381103 | Apr 25, 2020 (154) |
94 | gnomAD - Genomes | NC_000001.11 - 154408627 | Apr 25, 2021 (155) |
95 | Genome of the Netherlands Release 5 | NC_000001.10 - 154381103 | Apr 25, 2020 (154) |
96 | HapMap | NC_000001.11 - 154408627 | Apr 25, 2020 (154) |
97 | KOREAN population from KRGDB | NC_000001.10 - 154381103 | Apr 25, 2020 (154) |
98 | Korean Genome Project | NC_000001.11 - 154408627 | Apr 25, 2020 (154) |
99 | Northern Sweden | NC_000001.10 - 154381103 | Jul 12, 2019 (153) |
100 | The PAGE Study | NC_000001.11 - 154408627 | Jul 12, 2019 (153) |
101 | CNV burdens in cranial meningiomas | NC_000001.10 - 154381103 | Apr 25, 2021 (155) |
102 | Qatari | NC_000001.10 - 154381103 | Apr 25, 2020 (154) |
103 | SGDP_PRJ | NC_000001.10 - 154381103 | Apr 25, 2020 (154) |
104 | Siberian | NC_000001.10 - 154381103 | Apr 25, 2020 (154) |
105 | 8.3KJPN | NC_000001.10 - 154381103 | Apr 25, 2021 (155) |
106 | 14KJPN | NC_000001.11 - 154408627 | Oct 17, 2022 (156) |
107 | TopMed | NC_000001.11 - 154408627 | Apr 25, 2021 (155) |
108 | UK 10K study - Twins | NC_000001.10 - 154381103 | Oct 11, 2018 (152) |
109 | A Vietnamese Genetic Variation Database | NC_000001.10 - 154381103 | Jul 12, 2019 (153) |
110 | ALFA | NC_000001.11 - 154408627 | Apr 25, 2021 (155) |
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).
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
ss87824158, ss108598290, ss167132154, ss199084887, ss205383601, ss276050797, ss290636842, ss482106081, ss1585062754, ss2635003244 | NC_000001.9:152647726:A:G | NC_000001.11:154408626:A:G | (self) |
3712927, 2018471, 1428433, 1708241, 877193, 2387604, 769623, 14039, 957301, 2021400, 514007, 4446768, 2018471, 433878, ss218650782, ss230731562, ss238379522, ss483213860, ss535433379, ss554692742, ss648413331, ss780193516, ss782050275, ss835677950, ss975681487, ss1068268754, ss1292921052, ss1425978611, ss1574391362, ss1601211529, ss1644205562, ss1795090903, ss1918915371, ss1958317360, ss2019973203, ss2094976232, ss2147997653, ss2632575929, ss2697970492, ss2761302340, ss2987750243, ss3021136050, ss3343710041, ss3626208127, ss3630608837, ss3641616603, ss3651470234, ss3651470235, ss3655690185, ss3727484758, ss3746806716, ss3826423529, ss3836606240, ss3850004420, ss3895210210, ss3984464725, ss5146477461, ss5237273994, ss5314650897, ss5322042588, ss5624218012, ss5626589383, ss5832663967, ss5847166815, ss5847556301, ss5938383067, ss5979290036 | NC_000001.10:154381102:A:G | NC_000001.11:154408626:A:G | (self) |
5141206, 27016210, 176287, 2026472, 62238, 7508439, 31866290, 9042765041, ss2166531227, ss3023743729, ss3646791027, ss3687779882, ss3725065186, ss3770840769, ss3799808584, ss3842015455, ss3945648471, ss4468259955, ss5244289050, ss5444882821, ss5517615271, ss5673671335, ss5801259205, ss5849108455, ss5910241014 | NC_000001.11:154408626:A:G | NC_000001.11:154408626:A:G | (self) |
ss41280144, ss97974761, ss102785535, ss138083064, ss139211039, ss244275259 | NT_004487.19:5869744:A:G | NC_000001.11:154408626:A:G | (self) |
ss18185741, ss20531031 | NT_079484.1:830934:A:G | NC_000001.11:154408626:A: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 |
---|---|---|---|---|
18781131 | Interleukin and interleukin receptor gene polymorphisms and susceptibility to melanoma. | Gu F et al. | 2008 | Melanoma research |
18852330 | Interleukin-6 receptor gene, plasma C-reactive protein, and diabetes risk in women. | Qi L et al. | 2009 | Diabetes |
21523452 | Genetic variation in proinflammatory cytokines IL6, IL6R, TNF-region, and TNFRSF1A and risk of breast cancer. | Madeleine MM et al. | 2011 | Breast cancer research and treatment |
22106445 | HTR1B, ADIPOR1, PPARGC1A, and CYP19A1 and obesity in a cohort of Caucasians and African Americans: an evaluation of gene-environment interactions and candidate genes. | Edwards TL et al. | 2012 | American journal of epidemiology |
24978393 | Interleukin-6-receptor polymorphisms rs12083537, rs2228145, and rs4329505 as predictors of response to tocilizumab in rheumatoid arthritis. | Enevold C et al. | 2014 | Pharmacogenetics and genomics |
25781951 | Analysis of the role of interleukin 6 receptor haplotypes in the regulation of circulating levels of inflammatory biomarkers and risk of coronary heart disease. | Gigante B et al. | 2015 | PloS one |
26336855 | Variation at interleukin-6 receptor gene is associated to joint damage in rheumatoid arthritis. | Lopez-Lasanta M et al. | 2015 | Arthritis research & therapy |
26997259 | The IL6R gene polymorphisms are associated with sIL-6R, IgE and lung function in Chinese patients with asthma. | Wang Y et al. | 2016 | Gene |
27958380 | Influence of IL6R gene polymorphisms in the effectiveness to treatment with tocilizumab in rheumatoid arthritis. | Maldonado-Montoro M et al. | 2018 | The pharmacogenomics journal |
29513361 | A pilot study of single nucleotide polymorphisms in the interleukin-6 receptor and their effects on pre- and post-transplant serum mediator level and outcome after allogeneic stem cell transplantation. | Tvedt THA et al. | 2018 | Clinical and experimental immunology |
30647443 | A single nucleotide polymorphism of IL6-receptor is associated with response to tocilizumab in rheumatoid arthritis patients. | Luxembourger C et al. | 2019 | The pharmacogenomics journal |
30651573 | Prognostic role of genetic polymorphisms of the interleukin-6 signaling pathway in patients with severe heart failure. | Hansen PR et al. | 2019 | The pharmacogenomics journal |
31836512 | Polymorphism of IL6 receptor gene is associated with ischaemic stroke in patients with metabolic syndrome. | Huang X et al. | 2020 | Brain research |
32936528 | Important Pharmacogenetic Information for Drugs Prescribed During the SARS-CoV-2 Infection (COVID-19). | Zubiaur P et al. | 2020 | Clinical and translational science |
35124268 | Mendelian Randomization Analysis Reveals No Causal Relationship Between Nonalcoholic Fatty Liver Disease and Severe COVID-19. | Li J et al. | 2022 | Clinical gastroenterology and hepatology |
35886067 | Genetic Biomarkers as Predictors of Response to Tocilizumab in Rheumatoid Arthritis: A Systematic Review and Meta-Analysis. | Janahiraman S et al. | 2022 | Genes |
36058033 | Associations between the interleukin-6 rs1800795 G/C and interleukin-6 receptor rs12083537 A/G polymorphisms and response to disease-modifying antirheumatic drugs in rheumatoid arthritis: A meta-analysis. | Lee YH et al. | 2022 | International immunopharmacology |
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.