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Exome-wide evidence of compound heterozygous effects across common phenotypes in the UK Biobank

Abstract:
The phenotypic impact of compound heterozygous (CH) variation has not been investigated at the population scale. We phased rare variants (MAF ∼0.001%) in the UK Biobank (UKBB) exome-sequencing data to characterize recessive effects in 175,587 individuals across 311 common diseases. A total of 6.5% of individuals carry putatively damaging CH variants, 90% of which are only identifiable upon phasing rare variants (MAF < 0.38%). We identify six recessive gene-trait associations (p < 1.68 × 10-7) after accounting for relatedness, polygenicity, nearby common variants, and rare variant burden. Of these, just one is discovered when considering homozygosity alone. Using longitudinal health records, we additionally identify and replicate a novel association between bi-allelic variation in ATP2C2 and an earlier age at onset of chronic obstructive pulmonary disease (COPD) (p < 3.58 × 10-8). Genetic phase contributes to disease risk for gene-trait pairs: ATP2C2-COPD (p = 0.000238), FLG-asthma (p = 0.00205), and USH2A-visual impairment (p = 0.0084). We demonstrate the power of phasing large-scale genetic cohorts to discover phenome-wide consequences of compound heterozygosity.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.xgen.2024.100602

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
Weatherall Insti. of Molecular Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Big Data Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Big Data Institute
Role:
Author
ORCID:
0000-0002-4681-374X
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Big Data Institute
Role:
Author
ORCID:
0000-0002-7417-1393


Publisher:
Cell Press
Journal:
Cell Genomics More from this journal
Volume:
4
Issue:
7
Article number:
100602
Publication date:
2024-06-28
Acceptance date:
2024-06-07
DOI:
EISSN:
2666-979X


Language:
English
Keywords:
Pubs id:
2011134
Local pid:
pubs:2011134
Deposit date:
2024-07-04
ARK identifier:

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