Evidence for CRHR1 in multiple sclerosis using supervised machine learning and meta-analysis in 12,566 individuals.

Published

Journal Article

The primary genetic risk factor in multiple sclerosis (MS) is the HLA-DRB1*1501 allele; however, much of the remaining genetic contribution to MS has yet to be elucidated. Several lines of evidence support a role for neuroendocrine system involvement in autoimmunity which may, in part, be genetically determined. Here, we comprehensively investigated variation within eight candidate hypothalamic-pituitary-adrenal (HPA) axis genes and susceptibility to MS. A total of 326 SNPs were investigated in a discovery dataset of 1343 MS cases and 1379 healthy controls of European ancestry using a multi-analytical strategy. Random Forests, a supervised machine-learning algorithm, identified eight intronic SNPs within the corticotrophin-releasing hormone receptor 1 or CRHR1 locus on 17q21.31 as important predictors of MS. On the basis of univariate analyses, six CRHR1 variants were associated with decreased risk for disease following a conservative correction for multiple tests. Independent replication was observed for CRHR1 in a large meta-analysis comprising 2624 MS cases and 7220 healthy controls of European ancestry. Results from a combined meta-analysis of all 3967 MS cases and 8599 controls provide strong evidence for the involvement of CRHR1 in MS. The strongest association was observed for rs242936 (OR = 0.82, 95% CI = 0.74-0.90, P = 9.7 × 10(-5)). Replicated CRHR1 variants appear to exist on a single associated haplotype. Further investigation of mechanisms involved in HPA axis regulation and response to stress in MS pathogenesis is warranted.

Full Text

Duke Authors

Cited Authors

  • Briggs, FBS; Bartlett, SE; Goldstein, BA; Wang, J; McCauley, JL; Zuvich, RL; De Jager, PL; Rioux, JD; Ivinson, AJ; Compston, A; Hafler, DA; Hauser, SL; Oksenberg, JR; Sawcer, SJ; Pericak-Vance, MA; Haines, JL; International Multiple Sclerosis Genetics Consortium, ; Barcellos, LF

Published Date

  • November 1, 2010

Published In

Volume / Issue

  • 19 / 21

Start / End Page

  • 4286 - 4295

PubMed ID

  • 20699326

Pubmed Central ID

  • 20699326

Electronic International Standard Serial Number (EISSN)

  • 1460-2083

Digital Object Identifier (DOI)

  • 10.1093/hmg/ddq328

Language

  • eng

Conference Location

  • England