CellGeneticsPeer-reviewed journal article
Low frequency and rare coding variation contributes to multiple sclerosis risk
Mitja MitrovičiD, Nikolaos A. PatsopoulosiD, Ashley Harris BeechamiD, Theresa DankowskiiD, An GorisiD, Bénédicte DuboisiD, Marie Beatrice D'hoogheiD, Robin LemmensiD, Philip Van DammeiD, Helle Bach SøndergaardiD, Finn Thorup SellebjergiD, Per Soelberg SørenseniD, Henrik UllumiD, Lise Wegner ThørneriD, Thomas Mears WergeiD, Janna SaarelaiD, Isabelle Cournu‐RebeixiD, Vincent DamotteiD, Bertrand FontaineiD, Léna Guillot‐NoëliD, Mark G. LathropiD, Sandra VukusiciD, Pierre‐Antoine GourraudiD, Till F. M. AndlaueriD, Viola PongratziD, , Hakon H. HakonarsoniD
Abstract
Multiple sclerosis is a common, complex neurological disease, where almost 20% of risk heritability can be attributed to common genetic variants, including >230 identified by genome-wide association studies (Patsopoulos et al., 2017). Multiple strands of evidence suggest that the majority of the remaining heritability is also due to the additive effects of individual variants, rather than epistatic interactions between these variants, or mutations exclusive to individual families. Here, we show in 68,379 cases and controls that as much as 5% of this heritability is explained by low-frequency variation in gene coding sequence. We identify four novel genes driving MS risk independently of common variant signals, which highlight a key role for regulatory T cell homeostasis and regulation, IFN{gamma} biology and NF{kappa}B signaling in MS pathogenesis. As low-frequency variants do not show substantial linkage disequilibrium with other variants, and as coding variants are more interpretable and experimentally tractable than non-coding variation, our discoveries constitute a rich resource for dissecting the pathobiology of MS.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 173
- FWCI
- 18.62
- Field percentile
- top 1%
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