Year: 2018
Type: article
Study design: Observational Study
Abstract: Purpose To systematically study somatic variants arising during development in the human brain across a spectrum of neurodegenerative disorders. Methods In this study we developed a pipeline to identify somatic variants from exome sequencing data in 1461 diseased and control human brains. Eighty-eight percent of the DNA samples were extracted from the cerebellum. Identified somatic variants were validated by targeted amplicon sequencing and/or PyroMark® Q24. Results We observed somatic coding variants present in >10% of sampled cells in at least 1% of brains. The mutational signature of the detected variants showed a predominance of C>T variants most consistent with arising from DNA mismatch repair, occurred frequently in genes that are highly expressed within the central nervous system, and with a minimum somatic mutation rate of 4.25 × 10 −10 per base pair per individual. Conclusion These findings provide proof-of-principle that deleterious somatic variants can affect sizeable brain regions in at least 1% of the population, and thus have the potential to contribute to the pathogenesis of common neurodegenerative diseases.
Source: Genetics in Medicine
Language: English
Topic: Genomics and Rare Diseases
Subfield: Genetics
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $4,122
Awards: G1168048430, Nuclear genomic control of mitochondrial DNA heteroplasmy in humans: population genetics & disease, G244218419, G2453345397, G2465347136, G2877410169, Genetic factors modulating the expression of mitochondrial disease., G3733667776, G4335143496, G4607554797, G4702529995, Nuclear genomic control of mitochondrial DNA heteroplasmy in humans: population genetics & disease, Genetic factors modulating the expression of mitochondrial disease., G5136362419, G6102763765, G7347440012, EPSRC Centre for Mathematics of Precision Healthcare, G7551989283, G7556113848, G8304534201, G8538723892, G8653647586, NIHR Senior Investigator Award, G9000189750
OpenAlex ID: W2889954697
