Whole exome sequencing and characterization of coding variation in 49,960 individuals in the UK Biobank

Author:

Van Hout Cristopher V.ORCID,Tachmazidou Ioanna,Backman Joshua D.,Hoffman Joshua X.,Ye Bin,Pandey Ashutosh K.,Gonzaga-Jauregui Claudia,Khalid Shareef,Liu Daren,Banerjee Nilanjana,Li Alexander H.,Colm O’Dushlaine,Marcketta Anthony,Staples Jeffrey,Schurmann Claudia,Hawes Alicia,Maxwell Evan,Barnard Leland,Lopez Alexander,Penn John,Habegger Lukas,Blumenfeld Andrew L.,Yadav Ashish,Praveen Kavita,Jones Marcus,Salerno William J.,Chung Wendy K.,Surakka Ida,Willer Cristen J.ORCID,Hveem Kristian,Leader Joseph B.,Carey David J.,Ledbetter David H.,Cardon Lon,Yancopoulos George D.,Economides Aris,Coppola Giovanni,Shuldiner Alan R.,Balasubramanian Suganthi,Cantor Michael,Nelson Matthew R.,Whittaker John,Reid Jeffrey G.,Marchini Jonathan,Overton John D.,Scott Robert A.,Abecasis Gonçalo,Yerges-Armstrong Laura,Baras Aris, ,

Abstract

SUMMARYThe UK Biobank is a prospective study of 502,543 individuals, combining extensive phenotypic and genotypic data with streamlined access for researchers around the world. Here we describe the first tranche of large-scale exome sequence data for 49,960 study participants, revealing approximately 4 million coding variants (of which ~98.4% have frequency < 1%). The data includes 231,631 predicted loss of function variants, a >10-fold increase compared to imputed sequence for the same participants. Nearly all genes (>97%) had ≥1 predicted loss of function carrier, and most genes (>69%) had ≥10 loss of function carriers. We illustrate the power of characterizing loss of function variation in this large population through association analyses across 1,741 phenotypes. In addition to replicating a range of established associations, we discover novel loss of function variants with large effects on disease traits, including PIEZO1 on varicose veins, COL6A1 on corneal resistance, MEPE on bone density, and IQGAP2 and GMPR on blood cell traits. We further demonstrate the value of exome sequencing by surveying the prevalence of pathogenic variants of clinical significance in this population, finding that 2% of the population has a medically actionable variant. Additionally, we leverage the phenotypic data to characterize the relationship between rare BRCA1 and BRCA2 pathogenic variants and cancer risk. Exomes from the first 49,960 participants are now made accessible to the scientific community and highlight the promise offered by genomic sequencing in large-scale population-based studies.

Publisher

Cold Spring Harbor Laboratory

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