0000000000222658
AUTHOR
Janine Arloth
Novel multiple sclerosis susceptibility loci implicated in epigenetic regulation
Genome-wide study in Germans identifies four novel multiple sclerosis risk genes and confirms already known gene loci.
A Polymorphism in the Crhr1 Gene Determines Stress Vulnerability in Male Mice
Chronic stress is a risk factor for psychiatric disorders but does not necessarily lead to uniform long-term effects on mental health, suggesting modulating factors such as genetic predispositions. Here we address the question whether natural genetic variations in the mouse CRH receptor 1 (Crhr1) locus modulate the effects of adolescent chronic social stress (ACSS) on long-term stress hormone dysregulation in outbred CD1 mice, which allows a better understanding of the currently reported genes × environment interactions of early trauma and CRHR1 in humans. We identified 2 main haplotype variants in the mouse Crhr1 locus that modulate the long-term effects of ACSS on basal hypothalamic-pitui…
DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning
Genome-wide association studies (GWAS) identify genetic variants associated with traits or diseases. GWAS never directly link variants to regulatory mechanisms. Instead, the functional annotation of variants is typically inferred by post hoc analyses. A specific class of deep learning-based methods allows for the prediction of regulatory effects per variant on several cell type-specific chromatin features. We here describe “DeepWAS”, a new approach that integrates these regulatory effect predictions of single variants into a multivariate GWAS setting. Thereby, single variants associated with a trait or disease are directly coupled to their impact on a chromatin feature in a cell type. Up to…