Related Experiment Video
Updated: Jul 9, 2025

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
Published on: August 15, 2019
Inferring compound heterozygosity from large-scale exome sequencing data
Michael H Guo1,2, Laurent C Francioli2,3, Sarah L Stenton2,3,4
1Department of Neurology, Hospital of the University of the Pennsylvania, Philadelphia, PA, USA.
Abstract:
Recessive diseases arise when both copies of a gene are impacted by a damaging genetic variant. When a patient carries two potentially causal variants in a gene, accurate diagnosis requires determining that these variants occur on different copies of the chromosome (that is, are in trans) rather than on the same copy (that is, in cis). However, current approaches for determining phase, beyond parental testing, are limited in clinical settings. Here we developed a strategy for inferring phase for rare variant pairs within genes, leveraging genotypes observed in the Genome Aggregation Database (v2, n = 125,748 exomes). Our approach estimates phase with 96% accuracy, both in trio data and in patients with Mendelian conditions and presumed causal compound heterozygous variants. We provide a public resource of phasing estimates for coding variants and counts per gene of rare variants in trans that can aid interpretation of rare co-occurring variants in the context of recessive disease.
Related Concept Videos
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Evolutionary Relationships through Genome Comparisons
Human Genetics
The complex relationship between genetics and psychology is observable through common biological components such...
Exon Recombination
Exon shuffling follows “splice frame rules.” Each exon...
Next-generation Sequencing
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
Genomics

