학술논문

Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts.
Document Type
article
Source
Nature medicine. 25(6)
Subject
Undiagnosed Diseases Network
Care4Rare Canada Consortium
Humans
Rare Diseases
Oxidoreductases Acting on CH-CH Group Donors
Potassium Channels
RNA
Case-Control Studies
Cohort Studies
Sequence Analysis
RNA
RNA Splicing
Mutation
Models
Genetic
Child
Child
Preschool
Female
Male
Genetic Variation
Acid Ceramidase
Whole Exome Sequencing
Human Genome
Clinical Research
Genetics
Biotechnology
4.1 Discovery and preclinical testing of markers and technologies
2.1 Biological and endogenous factors
Immunology
Medical and Health Sciences
Language
Abstract
It is estimated that 350 million individuals worldwide suffer from rare diseases, which are predominantly caused by mutation in a single gene1. The current molecular diagnostic rate is estimated at 50%, with whole-exome sequencing (WES) among the most successful approaches2-5. For patients in whom WES is uninformative, RNA sequencing (RNA-seq) has shown diagnostic utility in specific tissues and diseases6-8. This includes muscle biopsies from patients with undiagnosed rare muscle disorders6,9, and cultured fibroblasts from patients with mitochondrial disorders7. However, for many individuals, biopsies are not performed for clinical care, and tissues are difficult to access. We sought to assess the utility of RNA-seq from blood as a diagnostic tool for rare diseases of different pathophysiologies. We generated whole-blood RNA-seq from 94 individuals with undiagnosed rare diseases spanning 16 diverse disease categories. We developed a robust approach to compare data from these individuals with large sets of RNA-seq data for controls (n = 1,594 unrelated controls and n = 49 family members) and demonstrated the impacts of expression, splicing, gene and variant filtering strategies on disease gene identification. Across our cohort, we observed that RNA-seq yields a 7.5% diagnostic rate, and an additional 16.7% with improved candidate gene resolution.