2009
DOI: 10.1038/ng.401
|View full text |Cite
|
Sign up to set email alerts
|

Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

35
659
3
9

Year Published

2009
2009
2018
2018

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 744 publications
(706 citation statements)
references
References 49 publications
35
659
3
9
Order By: Relevance
“…The three significant findings were simultaneously replicated in independent studies from the United Kingdom, the United States and the Nordic countries 31, 32. This opened the floodgates, with several successive studies GWAS and meta‐analysis followed in rapid succession, so that by 2011, common variants in 26 genomic loci had been associated with MS risk and independently replicated, but clearly only explained a fraction of MS risk attributable to genetic factors 33, 34, 35, 36, 37, 38, 39, 40, 41, 42. These studies collectively showed that non‐MHC MS risk alleles have modest effects on disease (odds ratios < 1.2) and that even larger sample sizes (over 10 000 cases and controls) would be needed to identify more loci 22.…”
Section: Genome‐wide Association Studiesmentioning
confidence: 91%
“…The three significant findings were simultaneously replicated in independent studies from the United Kingdom, the United States and the Nordic countries 31, 32. This opened the floodgates, with several successive studies GWAS and meta‐analysis followed in rapid succession, so that by 2011, common variants in 26 genomic loci had been associated with MS risk and independently replicated, but clearly only explained a fraction of MS risk attributable to genetic factors 33, 34, 35, 36, 37, 38, 39, 40, 41, 42. These studies collectively showed that non‐MHC MS risk alleles have modest effects on disease (odds ratios < 1.2) and that even larger sample sizes (over 10 000 cases and controls) would be needed to identify more loci 22.…”
Section: Genome‐wide Association Studiesmentioning
confidence: 91%
“…Two other studies have also reported association of rs763361/CD226 with MS, 25,26 however, because of some sample overlapping they were not included in our analysis. The overall effect estimates for the rs763361/CD226 and rs3184504/SH2B3 variants were statistically significant with combined ORs (95% confidence interval (CI)) of 1.14 (1.09-1.18) and 1.13 (1.08-1.17), respectively.…”
Section: Resultsmentioning
confidence: 99%
“…Neither RGMA, IL4R nor IL21R has been identified as the gene that is involved in autoimmune diseases in GWA scans. 7,11,14,31,51,52 The region that we report associated in the RGMA region has reasonable coverage of markers in these scans, although rs34925346 marker was not included in any of the scans, nor was stratification-based sex performed in all GWA scans. For IL21R, the poor marker coverage in GWA scans in the region we identified as associated with MS may explain why this gene has not associated with autoimmune diseases in GWA studies.…”
Section: Eae30mentioning
confidence: 93%
“…5,6 Only recently, with analysis of very large cohorts, non-human leukocyte antigen MS genes are starting to be unambiguously identified. [7][8][9][10][11][12][13][14] Another important concept is the sharing of risk genes between inflammatory diseases, 15 as now demonstrated for type 1 diabetes and MS genes. 12 Therefore, cross-disciplinary genetics may be rewarding.…”
Section: Introductionmentioning
confidence: 99%