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Updated: Jun 25, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
A deep catalogue of protein-coding variation in 983,578 individuals
Kathie Y Sun1, Xiaodong Bai1, Siying Chen1
1Regeneron Genetics Center, Tarrytown, NY, USA.
This study presents a comprehensive catalog of human genetic variation from nearly one million exomes. It identifies novel gene variants and provides insights into gene function and disease associations.
Area of Science:
- Genomics
- Human genetics
- Population genetics
Background:
- Rare coding variants offer insights into gene function.
- Identifying these variants requires large-scale sequencing data.
- Previous studies lacked the sample size to comprehensively catalog rare variants.
Purpose of the Study:
- To create a comprehensive catalog of human protein-coding variation.
- To identify genes with loss-of-function (LOF) variants and assess gene intolerance to LOF.
- To define regions of missense variant depletion and identify potentially deleterious variants.
Main Methods:
- Exome sequencing of 983,578 individuals from diverse populations.
- Analysis of over 10.4 million missense and 1.1 million predicted loss-of-function (pLOF) variants.
- Quantitative estimation of selection against heterozygous LOF and missense variant depletion.
Main Results:
- A catalog of human protein-coding variation including over 11.5 million variants.
- Identification of 4,848 genes with rare biallelic pLOF variants, 1,751 previously unreported.
- Discovery of 3,988 LOF-intolerant genes and 1,482 genes with missense-depleted regions.
- Estimation that 3% of individuals harbor clinically actionable variants and identification of 11,773 likely deleterious variants in ClinVar.
Conclusions:
- The generated catalog provides a valuable resource for variant interpretation and precision medicine.
- The study refines our understanding of gene function, LOF intolerance, and missense variant constraints.
- Public accessibility of this data will accelerate genetic research and clinical applications.
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