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Linkage disequilibrium-dependent architecture of human complex traits shows action of negative selection.

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TLDR
It is determined that SNPs with low LLD have significantly larger per-SNP heritability and that roughly half of this effect can be explained by functional annotations negatively correlated with LLD, such as DNase I hypersensitivity sites (DHSs).
Abstract
Recent work has hinted at the linkage disequilibrium (LD)-dependent architecture of human complex traits, where SNPs with low levels of LD (LLD) have larger per-SNP heritability. Here we analyzed summary statistics from 56 complex traits (average N = 101,401) by extending stratified LD score regression to continuous annotations. We determined that SNPs with low LLD have significantly larger per-SNP heritability and that roughly half of this effect can be explained by functional annotations negatively correlated with LLD, such as DNase I hypersensitivity sites (DHSs). The remaining signal is largely driven by our finding that more recent common variants tend to have lower LLD and to explain more heritability (P = 2.38 × 10-104); the youngest 20% of common SNPs explain 3.9 times more heritability than the oldest 20%, consistent with the action of negative selection. We also inferred jointly significant effects of other LD-related annotations and confirmed via forward simulations that they jointly predict deleterious effects.

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Posted ContentDOI

The GTEx Consortium atlas of genetic regulatory effects across human tissues

TL;DR: Analysis of the v8 data provides insights into the tissue-specificity of genetic effects, and shows that cell type composition is a key factor in understanding gene regulatory mechanisms in human tissues.
References
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Second-generation PLINK: rising to the challenge of larger and richer datasets

TL;DR: The second-generation versions of PLINK will offer dramatic improvements in performance and compatibility, and for the first time, users without access to high-end computing resources can perform several essential analyses of the feature-rich and very large genetic datasets coming into use.
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Biological insights from 108 schizophrenia-associated genetic loci

Stephan Ripke, +354 more
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TL;DR: Associations at DRD2 and several genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses.
Journal ArticleDOI

GCTA: a tool for genome-wide complex trait analysis.

TL;DR: The GCTA software is a versatile tool to estimate and partition complex trait variation with large GWAS data sets and focuses on the function of estimating the variance explained by all the SNPs on the X chromosome and testing the hypotheses of dosage compensation.
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