| Literature DB >> 29417219 |
Kathryn B Manheimer1, Felix Richter1, Lisa J Edelmann2, Sunita L D'Souza3, Lisong Shi2, Yufeng Shen4,5, Jason Homsy6,7, Marko T Boskovski8, Angela C Tai6, Joshua Gorham6, Christopher Yasso6, Elizabeth Goldmuntz9,10, Martina Brueckner11,12, Richard P Lifton11,13,14,15,16, Wendy K Chung17,18, Christine E Seidman6,19,20, J G Seidman6, Bruce D Gelb21,22,23.
Abstract
Mosaicism due to somatic mutations can cause multiple diseases including cancer, developmental and overgrowth syndromes, neurodevelopmental disorders, autoinflammatory diseases, and atrial fibrillation. With the increased use of next generation sequencing technology, multiple tools have been developed to identify low-frequency variants, specifically from matched tumor-normal tissues in cancer studies. To investigate whether mosaic variants are implicated in congenital heart disease (CHD), we developed a pipeline using the cancer somatic variant caller MuTect to identify mosaic variants in whole-exome sequencing (WES) data from a cohort of parent/affected child trios (n = 715) and a cohort of healthy individuals (n = 416). This is a novel application of the somatic variant caller designed for cancer to WES trio data. We identified two cases with mosaic KMT2D mutations that are likely pathogenic for CHD, but conclude that, overall, mosaicism detectable in peripheral blood or saliva does not account for a significant portion of CHD etiology.Entities:
Mesh:
Year: 2018 PMID: 29417219 PMCID: PMC5997246 DOI: 10.1007/s00439-018-1871-6
Source DB: PubMed Journal: Hum Genet ISSN: 0340-6717 Impact factor: 4.132