id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-349754-v6lll1xy	Zhu, Zhaozhong	Investigating asthma heterogeneity through shared and distinct genetics: insights from genome-wide cross-trait analysis	2020-07-18		.txt	text/plain	1776	105	41	title: Investigating asthma heterogeneity through shared and distinct genetics: insights from genome-wide cross-trait analysis The genome-wide cross-trait analysis features in several analytical aspects: genetic correlation, cross-trait meta-analysis, Mendelian randomization, polygenic risk score and functional analysis. A major advantage going from phenotypic correlations to genetic 138 correlations is to improve understanding of the mechanism(s)-shared genetic components can 139 be identified at different levels, from whole genome to individual variants, providing insights 140 into the reasons why asthma and coexistent diseases or traits are correlated. 26-29 A genome-wide cross-trait analysis features several analyses: 173 genetic correlation, cross-trait meta-analysis, Mendelian randomization, polygenic risk score, 174 and GWAS functional analysis. Of note, the human leukocyte antigen (HLA) region (chr6: 25-34Mb) was found to be 262 shared in the cross-trait meta-analysis of allergic disease and asthma as well as that between 263 major depressive disorder and asthma. Genome-wide association study (GWAS) An analytical method that tests the association between each genetic variant and a specific phenotype (a disease status or a quantitative trait).	./cache/cord-349754-v6lll1xy.txt	./txt/cord-349754-v6lll1xy.txt