ArticleAmerican journal of human genetics2026
A phenome-wide association study of CNVs genotyped from genome sequencing read depth in the UK Biobank.
Article in American journal of human genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
We developed a read-depth-based approach that allows accurate and scalable copy-number genotyping from genome sequencing data, including mosaic, recurrent, and multiallelic copy-number variants (CNVs) that are difficult to genotype using other methods. We genotyped each 5-kb segment throughout the genome in the UK Biobank cohort and performed phenome-wide association studies (PheWASs) using 13,215 traits under three different association models, identifying 501 CNVs associated with 1,537 traits. Of these, almost 75% were not found by comparable single-nucleotide variant (SNV)-based PheWASs. We detected signals with multiallelic CNVs, including a coding repeat within MUC1 (mucin 1, cell-surface associated) associated with stomach/duodenal polyps (p = 7.7 × 10
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