Leveraging base-pair mammalian constraint to understand genetic variation and human disease
Author:
Sullivan Patrick F.12ORCID, Meadows Jennifer R. S.3ORCID, Gazal Steven45ORCID, Phan BaDoi N.6ORCID, Li Xue78ORCID, Genereux Diane P.7ORCID, Dong Michael X.3ORCID, Bianchi Matteo3ORCID, Andrews Gregory7ORCID, Sakthikumar Sharadha38ORCID, Nordin Jessika3ORCID, Roy Ananya9, Christmas Matthew J.3ORCID, Marinescu Voichita D.3ORCID, Wang Chao3ORCID, Wallerman Ola3ORCID, Xue James810ORCID, Yao Shuyang2ORCID, Sun Quan1ORCID, Szatkiewicz Jin1ORCID, Wen Jia1, Huckins Laura M.11ORCID, Lawler Alyssa1213ORCID, Keough Kathleen C.1415ORCID, Zheng Zhili16ORCID, Zeng Jian16ORCID, Wray Naomi R.16ORCID, Li Yun1ORCID, Johnson Jessica11ORCID, Chen Jiawen17ORCID, Paten Benedict18ORCID, Reilly Steven K.19ORCID, Hughes Graham M.20ORCID, Weng Zhiping7ORCID, Pollard Katherine S.141521ORCID, Pfenning Andreas R.612ORCID, Forsberg-Nilsson Karin922ORCID, Karlsson Elinor K.7823ORCID, Lindblad-Toh Kerstin38ORCID, Andrews Gregory, Armstrong Joel C., Bianchi Matteo, Birren Bruce W., Bredemeyer Kevin R., Breit Ana M., Christmas Matthew J., Clawson Hiram, Damas Joana, Di Palma Federica, Diekhans Mark, Dong Michael X., Eizirik Eduardo, Fan Kaili, Fanter Cornelia, Foley Nicole M., Forsberg-Nilsson Karin, Garcia Carlos J., Gatesy John, Gazal Steven, Genereux Diane P., Goodman Linda, Grimshaw Jenna, Halsey Michaela K., Harris Andrew J., Hickey Glenn, Hiller Michael, Hindle Allyson G., Hubley Robert M., Hughes Graham M., Johnson Jeremy, Juan David, Kaplow Irene M., Karlsson Elinor K., Keough Kathleen C., Kirilenko Bogdan, Koepfli Klaus-Peter, Korstian Jennifer M., Kowalczyk Amanda, Kozyrev Sergey V., Lawler Alyssa J., Lawless Colleen, Lehmann Thomas, Levesque Danielle L., Lewin Harris A., Li Xue, Lind Abigail, Lindblad-Toh Kerstin, Mackay-Smith Ava, Marinescu Voichita D., Marques-Bonet Tomas, Mason Victor C., Meadows Jennifer R. S., Meyer Wynn K., Moore Jill E., Moreira Lucas R., Moreno-Santillan Diana D., Morrill Kathleen M., Muntané Gerard, Murphy William J., Navarro Arcadi, Nweeia Martin, Ortmann Sylvia, Osmanski Austin, Paten Benedict, Paulat Nicole S., Pfenning Andreas R., Phan BaDoi N., Pollard Katherine S., Pratt Henry E., Ray David A., Reilly Steven K., Rosen Jeb R., Ruf Irina, Ryan Louise, Ryder Oliver A., Sabeti Pardis C., Schäffer Daniel E., Serres Aitor, Shapiro Beth, Smit Arian F. A., Springer Mark, Srinivasan Chaitanya, Steiner Cynthia, Storer Jessica M., Sullivan Kevin A. M., Sullivan Patrick F., Sundström Elisabeth, Supple Megan A., Swofford Ross, Talbot Joy-El, Teeling Emma, Turner-Maier Jason, Valenzuela Alejandro, Wagner Franziska, Wallerman Ola, Wang Chao, Wang Juehan, Weng Zhiping, Wilder Aryn P., Wirthlin Morgan E., Xue James R., Zhang Xiaomeng,
Affiliation:
1. Department of Genetics, University of North Carolina Medical School, Chapel Hill, NC 27599, USA. 2. Department of Medical Epidemiology and Biostatistics, Karolinska Institute, 17177 Stockholm, Sweden. 3. Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden. 4. Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA. 5. Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA. 6. Department of Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA. 7. Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA. 8. Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA. 9. Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, 75185 Uppsala, Sweden. 10. Center for System Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA. 11. Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 12. Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA. 13. Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA. 14. Gladstone Institutes, San Francisco, CA 94158, USA. 15. Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, USA. 16. Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia. 17. Department of Biostatistics, University of North Carolina Medical School, Chapel Hill, NC 27599, USA. 18. UC Santa Cruz Genomics Institute, Santa Cruz, CA 95064, USA. 19. Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA. 20. School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland. 21. Chan Zuckerberg Biohub, San Francisco, CA 94158, USA. 22. Biodiscovery Institute, University of Nottingham, Nottingham NG7 2RD, UK. 23. Program in Molecular Medicine, UMass Chan Medical School, Worcester, MA 01605, USA.
Abstract
Thousands of genomic regions have been associated with heritable human diseases, but attempts to elucidate biological mechanisms are impeded by an inability to discern which genomic positions are functionally important. Evolutionary constraint is a powerful predictor of function, agnostic to cell type or disease mechanism. Single-base phyloP scores from 240 mammals identified 3.3% of the human genome as significantly constrained and likely functional. We compared phyloP scores to genome annotation, association studies, copy-number variation, clinical genetics findings, and cancer data. Constrained positions are enriched for variants that explain common disease heritability more than other functional annotations. Our results improve variant annotation but also highlight that the regulatory landscape of the human genome still needs to be further explored and linked to disease.
Publisher
American Association for the Advancement of Science (AAAS)
Subject
Multidisciplinary
Cited by
36 articles.
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