Publications by authors named "Tejas S Shah"

2 Publications

  • Page 1 of 1

Class II HLA interactions modulate genetic risk for multiple sclerosis.

Nat Genet 2015 Oct 7;47(10):1107-1113. Epub 2015 Sep 7.

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Association studies have greatly refined the understanding of how variation within the human leukocyte antigen (HLA) genes influences risk of multiple sclerosis. However, the extent to which major effects are modulated by interactions is poorly characterized. We analyzed high-density SNP data on 17,465 cases and 30,385 controls from 11 cohorts of European ancestry, in combination with imputation of classical HLA alleles, to build a high-resolution map of HLA genetic risk and assess the evidence for interactions involving classical HLA alleles. Among new and previously identified class II risk alleles (HLA-DRB1*15:01, HLA-DRB1*13:03, HLA-DRB1*03:01, HLA-DRB1*08:01 and HLA-DQB1*03:02) and class I protective alleles (HLA-A*02:01, HLA-B*44:02, HLA-B*38:01 and HLA-B*55:01), we find evidence for two interactions involving pairs of class II alleles: HLA-DQA1*01:01-HLA-DRB1*15:01 and HLA-DQB1*03:01-HLA-DQB1*03:02. We find no evidence for interactions between classical HLA alleles and non-HLA risk-associated variants and estimate a minimal effect of polygenic epistasis in modulating major risk alleles.
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http://dx.doi.org/10.1038/ng.3395DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4874245PMC
October 2015

Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis.

Nat Genet 2013 Nov 29;45(11):1353-60. Epub 2013 Sep 29.

1] John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, Florida, USA. [2].

Using the ImmunoChip custom genotyping array, we analyzed 14,498 subjects with multiple sclerosis and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (P < 1.0 × 10(-4)). In a replication phase, we combined these data with previous genome-wide association study (GWAS) data from an independent 14,802 subjects with multiple sclerosis and 26,703 healthy controls. In these 80,094 individuals of European ancestry, we identified 48 new susceptibility variants (P < 5.0 × 10(-8)), 3 of which we found after conditioning on previously identified variants. Thus, there are now 110 established multiple sclerosis risk variants at 103 discrete loci outside of the major histocompatibility complex. With high-resolution Bayesian fine mapping, we identified five regions where one variant accounted for more than 50% of the posterior probability of association. This study enhances the catalog of multiple sclerosis risk variants and illustrates the value of fine mapping in the resolution of GWAS signals.
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http://dx.doi.org/10.1038/ng.2770DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3832895PMC
November 2013