학술논문
De novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the Amish founder population
Document Type
article
Author
Kessler, Michael D; Loesch, Douglas P; Perry, James A; Heard-Costa, Nancy L; Taliun, Daniel; Cade, Brian E; Wang, Heming; Daya, Michelle; Ziniti, John; Datta, Soma; Celedón, Juan C; Soto-Quiros, Manuel E; Avila, Lydiana; Weiss, Scott T; Barnes, Kathleen; Redline, Susan S; Vasan, Ramachandran S; Johnson, Andrew D; Mathias, Rasika A; Hernandez, Ryan; Wilson, James G; Nickerson, Deborah A; Abecasis, Goncalo; Browning, Sharon R; Zöllner, Sebastian; O’Connell, Jeffrey R; Mitchell, Braxton D; Lung, and Blood Institute Trans-Omics for Precision Medicine Consortium National Heart; Group, TOPMed Population Genetics Working; O’Connor, Timothy D; Aalbers, Sanne; Abdalla, Moustafa; Abdul-Rahman, Omar; Abecasis, Gonçalo; Abhyankar, Avinash; Adrianto, Indra; Aguet, Francois; Akers, Rachel; Al-Tobasei, Rafet; Albert, Christine; Aldred, Micheala; Almasy, Laura; Almeida, Marcio; Alonso, Alvaro; Ament, Seth; Ampleford, Elizabeth; An, Ping; Anderson, Christopher D; Andersson, Charlotte; Anugu, Pramod; Appelbaum, Elizabeth; Ardlie, Kristin; Arking, Dan; Armasu, Sebastian M; Arnett, Donna K; Arruda, Heather; Arvanitis, Marios; Ashley-Koch, Allison; Ashrani, Aneel; Aslibekyan, Stella; Assimes, Tim; Atkinson, Elizabeth; Auer, Paul; Austin, Thomas R; Avery, Christy; Avila-Pacheco, Julian; Avillach, Paul; Aviv, Abraham; Avramopoulos, Dimitrios; Ballantyne, Christie; Balte, Pallavi; Bamshad, Michael; Bancks, Mike; Barnard, John; Barr, R Graham; Barron-Casella, Emily; Bartz, Traci; Barwick, Lucas; Basu, Saonli; Battle, Alexis; Baumann, Michael; Beame, David; Beaty, Terri; Beck, Gerald; Becker, Lewis; Becker, Diane; Beer, Rebecca; Begum, Ferdouse; Beiser, Alexa; Beitelshees, Amber; Benjamin, Emelia; Benos, Takis; Berk-Rauch, Hanna; Besich, Zachary M; Bezerra, Marcos; Bhatt, Surya; Bi, Wenjian; Bick, Alexander; Bielak, Larry
Source
Proceedings of the National Academy of Sciences of the United States of America. 117(5)
Subject
Language
Abstract
De novo mutations (DNMs), or mutations that appear in an individual despite not being seen in their parents, are an important source of genetic variation whose impact is relevant to studies of human evolution, genetics, and disease. Utilizing high-coverage whole-genome sequencing data as part of the Trans-Omics for Precision Medicine (TOPMed) Program, we called 93,325 single-nucleotide DNMs across 1,465 trios from an array of diverse human populations, and used them to directly estimate and analyze DNM counts, rates, and spectra. We find a significant positive correlation between local recombination rate and local DNM rate, and that DNM rate explains a substantial portion (8.98 to 34.92%, depending on the model) of the genome-wide variation in population-level genetic variation from 41K unrelated TOPMed samples. Genome-wide heterozygosity does correlate with DNM rate, but only explains