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Fine-Mapping the Genetic Association of the Major Histocompatibility Complex in Multiple Sclerosis: HLA and Non-HLA Effects

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TLDR
The major histocompatibility complex (MHC) region is a critical region for MS susceptibility that harbors multiple risk alleles, and this study dissects the independent effects in the MHC.
Abstract
The major histocompatibility complex (MHC) region is strongly associated with multiple sclerosis (MS) susceptibility. HLA-DRB1*15:01 has the strongest effect, and several other alleles have been reported at different levels of validation. Using SNP data from genome-wide studies, we imputed and tested classical alleles and amino acid polymorphisms in 8 classical human leukocyte antigen (HLA) genes in 5,091 cases and 9,595 controls. We identified 11 statistically independent effects overall: 6 HLA-DRB1 and one DPB1 alleles in class II, one HLA-A and two B alleles in class I, and one signal in a region spanning from MICB to LST1. This genomic segment does not contain any HLA class I or II genes and provides robust evidence for the involvement of a non-HLA risk allele within the MHC. Interestingly, this region contains the TNF gene, the cognate ligand of the well-validated TNFRSF1A MS susceptibility gene. The classical HLA effects can be explained to some extent by polymorphic amino acid positions in the peptide-binding grooves. This study dissects the independent effects in the MHC, a critical region for MS susceptibility that harbors multiple risk alleles.

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Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing

TL;DR: Pathway analysis implicates immunity, lipid metabolism, tau binding proteins, and amyloid precursor protein (APP) metabolism, showing that genetic variants affecting APP and Aβ processing are associated not only with early-onset autosomal dominant Alzheimer’s disease but also with LOAD.
Journal ArticleDOI

Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets

TL;DR: A method is proposed that integrates summary-level data from GWAS with data from expression quantitative trait locus (eQTL) studies to identify genes whose expression levels are associated with a complex trait because of pleiotropy, and prioritize 126 genes that provide important leads to design future functional studies.
Journal ArticleDOI

Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility

TL;DR: The functional consequences of many MS susceptibility variants are characterized by identifying those that influence the expression of nearby genes in immune cells or brain by applying an ensemble of methods to prioritize 551 putative MS susceptibility genes that meet a threshold of genome-wide significance.
Journal ArticleDOI

Integrating Functional Data to Prioritize Causal Variants in Statistical Fine-Mapping Studies

TL;DR: A probabilistic framework that integrates association strength with functional genomic annotation data to improve accuracy in selecting plausible causal variants for functional validation and introduces a cost-to-benefit optimization framework for determining the number of variants to be followed up in functional assays.
Journal ArticleDOI

An atlas of genetic associations in UK Biobank.

TL;DR: An atlas of genetic associations for 118 non-binary and 660 binary traits of 452,264 UK Biobank participants of European ancestry and this atlas allows researchers to query these results without incurring high computational costs is presented.
References
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Regression Shrinkage and Selection via the Lasso

TL;DR: A new method for estimation in linear models called the lasso, which minimizes the residual sum of squares subject to the sum of the absolute value of the coefficients being less than a constant, is proposed.
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UCSF Chimera--a visualization system for exploratory research and analysis.

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PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses

TL;DR: This work introduces PLINK, an open-source C/C++ WGAS tool set, and describes the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation, which focuses on the estimation and use of identity- by-state and identity/descent information in the context of population-based whole-genome studies.
Journal ArticleDOI

Regularization and variable selection via the elastic net

TL;DR: It is shown that the elastic net often outperforms the lasso, while enjoying a similar sparsity of representation, and an algorithm called LARS‐EN is proposed for computing elastic net regularization paths efficiently, much like algorithm LARS does for the lamba.
Journal ArticleDOI

An integrated encyclopedia of DNA elements in the human genome

TL;DR: The Encyclopedia of DNA Elements project provides new insights into the organization and regulation of the authors' genes and genome, and is an expansive resource of functional annotations for biomedical research.
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