Selected article for: "eqtl analysis and genetic association"

Author: Dipender Gill; Marios Arvanitis; Paul Carter; Ana I Hernandez Cordero; Brian Jo; Ville Karhunen; Susanna C Larsson; Xuan Li; Sam M Lockhart; Amy M Mason; Evanthia Pashos; Ashis Saha; Vanessa Tan; Verena Zuber; Yohan Bosse; Sarah Fahle; Ke Hao; Tao Jiang; Philippe Joubert; Alan C Lunt; Willem hendrik Ouwehand; David J Roberts; Wim Timens; Maarten van den Berge; Nicholas A Watkins; Alexis Battle; Adam S Butterworth; John Danesh; Barbara E Engelhard; James E Peters; Don Sin; Stephen Burgess
Title: ACE inhibition and cardiometabolic risk factors, lung ACE2 and TMPRSS2 gene expression, and plasma ACE2 levels: a Mendelian randomization study
  • Document date: 2020_4_14
  • ID: 1kkpx108_23
    Snippet: Lung eQTL Consortium genetic association estimates were obtained in 1,038 individuals of European ancestry (40) . Tissue samples were obtained at three different institutions: University of British Columbia, Laval University, and University of Groningen. Genome-wide eQTL analysis was performed for the expression for ACE2 using probe set 100134205_TGI_at and two probe sets for TMPRSS2, 100130004_TGI_at and 100157336_TGI_at (subsequently referred t.....
    Document: Lung eQTL Consortium genetic association estimates were obtained in 1,038 individuals of European ancestry (40) . Tissue samples were obtained at three different institutions: University of British Columbia, Laval University, and University of Groningen. Genome-wide eQTL analysis was performed for the expression for ACE2 using probe set 100134205_TGI_at and two probe sets for TMPRSS2, 100130004_TGI_at and 100157336_TGI_at (subsequently referred to as 1 and 2). All participants were genotyped using the Illumina Human 1M Duo BeadChip and the genotypes were imputed using the Haplotype Reference Consortium reference panel. Expression values were first standardized for age, sex, and smoking status using robust linear regression. Genetic associations were estimated in each cohort separately using a linear additive genetic model. The estimates were combined across cohorts using an inverse-variance weighted model with fixed-effects.

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