Accès ouvert déclaré
2024
article
Mapping and characterization of structural variation in 17,795 human genomes
V. Salomaa, S.S. Rich, Elizabeth L. Appelbaum, Ryan M. Layer, Subra Kugathasan, Scott M. Damrauer, Nathan O. Stitziel, Jireh Santibanez, Z. Momin, Dan M. Roden, Vilas Menon, David B. Goldstein, E.E. Kenny, S. Buyske, Marja‐Riitta Taskinen, Teresa A. DeLuca, Steven R. Brant, Y. Zhang, T. Stephan, Lisa L. Cook, Robert Maier, Ipsita Das, G.A. Metcalf, J. Baker, M.B. Shoemaker, Christine Stevens, M. Boehnke, Eric Banks, Haley Abel, Bing Yu, William Salerno, M. Laakso, Sekar Kathiresan, William E. Kraus, Aarno Palotie, G.R. Abecasis, Giuseppe Narzisi, Genevieve L. Wojcik, Elizabeth Young, S. Ripatti, K.E. North, C.A. Haiman, Gregor Germer, L. Le Marchand, Raphael Bernier, M.L. Grove, John P. Kane, Jinchuan Xing, Mark J. Daly, Eric Boerwinkle, Paul S. de Vries, Theodora Bloom, Tuuli Lappalainen, S. Gabriel, Tom Maniatis, E.S. Lander, Goo Jun, Stephan R. Targan, Heidi J. Sofia, Allison Regier, Caitlin Nessner, Yi Han, Krishna-Latha Kanchi, Richard A. Gibbs, Namita T. Gupta, Joanne O. Nelson, Jason Waligorski, E.P. Bottinger, Liron Ganel, Amy Ly, Robert E. Fulton, Svati H. Shah, Dan Rader, Daniel H. Geschwind, Clive R. Pullinger, Rodney D. Newberry, Catrina C. Fronick, R.J.F. Loos, L. Chen, Michael C. Zody, Dermot McGovern, Adam L. Felsenfeld, T.C. Matise, Aaron R. Quinlan, C. Kooperberg, Tim Turner, Donna M. Muzny, P.T. Ellinor, Lynn B. Jorde, S. Gargeya, N.B. Freimer, Ian Hall, Amit V. Khera, Lucinda Fulton, E.E. Eichler, Cheryl Reeves, Tatiana Foroud, Hai Hu, José R. Jaramillo Ponce, Olga Krasheninina, Zeba Khan, Lara Winterkorn, Benjamin M. Neale, Vanessa Wang, Daniel P. Howrigan, Ivan Iossifov, U. Peters, Judy H. Cho, Cho Kang, Laura Courtney, C. Chiang, Rajiv Chowdhury, Rebecca K. Wilson, Kimberly Walker, Richard Mayeux, Huyen Dinh, NHGRI Centers for Common Disease Genomics, Yossi Farjoun, L. Khaira, Cedric A. J. Hutter, H.M. Kang, Charlotte Tolonen, David E. Larson, Gregory M. Marcus, Susan K. Dutcher, Michael Wigler, B. Ji, C.D. Bustamante, Kristelle Mendoza, Kathleen Tibbetts, M.J. Cutler, M. Cordes, HarshaVardhan Doddapaneni, Ryan Christ, Adam E. Locke, Robert B. Darnell, Esteban G. Burchard
0Citations signalées, ce qui n’est pas une note de qualité
1Institutions déclarées
1Pays d’affiliation déclarés
Rattachement africain : us.
Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
A key goal of whole-genome sequencing for studies of human genetics is to interrogate all forms of variation, including single-nucleotide variants, small insertion or deletion (indel) variants and structural variants. However, tools and resources for the study of structural variants have lagged behind those for smaller variants. Here we used a scalable pipeline1 to map and characterize structural variants in 17,795 deeply sequenced human genomes. We publicly release site-frequency data to create the largest, to our knowledge, whole-genome-sequencing-based structural variant resource so far. On average, individuals carry 2.9 rare structural variants that alter coding regions; these variants affect the dosage or structure of 4.2 genes and account for 4.0–11.2% of rare high-impact coding alleles. Using a computational model, we estimate that structural variants account for 17.2% of rare alleles genome-wide, with predicted deleterious effects that are equivalent to loss-of-function coding alleles; approximately 90% of such structural variants are noncoding deletions (mean 19.1 per genome). We report 158,991 ultra-rare structural variants and show that 2% of individuals carry ultra-rare megabase-scale structural variants, nearly half of which are balanced or complex rearrangements. Finally, we infer the dosage sensitivity of genes and noncoding elements, and reveal trends that relate to element class and conservation. This work will help to guide the analysis and interpretation of structural variants in the era of whole-genome sequencing.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
La source scientifique ouverte est momentanément indisponible.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.
Les sujets associés
Machine Learning in BioinformaticsGenetics, Bioinformatics, and Biomedical ResearchGenetic Mapping and Diversity in Plants and Animals