bioRxivGeneticsPreprint
Hidden protein-altering variants influence diverse human phenotypes
Margaux L.A. HujoeliD, Robert E. HandsakeriD, Maxwell A. ShermaniD, Nolan KamitakiiD, Alison R. BartoniD, Ronen E. MukameliD, Chikashi C. TeraoiD, Steven A. McCarrolliD, Po‐Ru LohiD
Abstract
Structural variants (SVs) comprise the largest genetic variants, altering from 50 base pairs to megabases of DNA. However, SVs have not been effectively ascertained in most genetic association studies, leaving a key gap in our understanding of human complex trait genetics. We ascertained protein-altering SVs from UK Biobank whole-exome sequencing data (n=468,570) using haplotype-informed methods capable of detecting sub-exonic SVs and variation within segmental duplications. Incorporating SVs into analyses of rare variants predicted to cause gene loss-of-function (pLoF) identified 100 associations of pLoF variants with 41 quantitative traits. A low-frequency partial deletion of RGL3 exon 6 appeared to confer one of the strongest protective effects of gene LoF on hypertension risk (OR = 0.86 [0.82-0.90]). Protein-coding variation in rapidly-evolving gene families within segmental duplications--previously invisible to most analysis methods--appeared to generate some of the human genomes largest contributions to variation in type 2 diabetes risk, chronotype, and blood cell traits. These results illustrate the potential for new genetic insights from genomic variation that has escaped large-scale analysis to date.
- organism: human
- assay: whole-exome sequencing
- research focus: differential expression
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 2
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A proteome atlas of structural variation and VNTR effects on complex traits and diseases
Peixiong Yuan, Wei-Yang Bai, … Jian Yang·medRxiv·Sep 29, 2026
- Multiethnic catalog of structural variants and their translational impact for disease phenotypes across 19,652 genomes
Fritz Joachim Sedlazeck, Bing Yu, … Eric Boerwinkle·bioRxiv·May 2, 2020
- Structural variants in Chinese population and their impact on phenotypes, diseases and population adaptation
Zhikun Wu, Zehang Jiang, … Zhi Xie·Nature CommunicationsPeer-reviewed·Nov 11, 2021
- Structural variants exhibit allelic heterogeneity and shape variation in complex traits
Mahul Chakraborty, J. J. Emerson, … Anthony D. Long·Nature CommunicationsPeer-reviewed·Oct 25, 2019
- Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer's Diseases Sequencing Project Subjects
Hui Wang, Beth A. Dombroski, … Wan‐Ping Lee·medRxiv·Sep 13, 2023
- Structural variants are a major source of gene expression differences in humans and often affect multiple nearby genes
Alexandra J. Scott, Colby Chiang, Ira M. Hall·Genome ResearchPeer-reviewed·Dec 1, 2021