New Results
Quantifying the unobserved protein-coding variants in human populations provides a roadmap for large-scale sequencing projects
James Zou, Gregory Valiant, Paul Valiant, Konrad Karczewski, Siu On Chan, Kaitlin Samocha, Monkol Lek, Exome Aggregation Consortium, Shamil Sunyaev, Mark Daly, Daniel G MacArthur
doi: https://doi.org/10.1101/030841
James Zou
1Microsoft Research, One Memorial Drive, Cambridge MA, USA
Gregory Valiant
2Computer Science Department, Stanford University, Palo Alto CA, USA
Paul Valiant
3Computer Science Department, Brown University, Providence RI, USA
Konrad Karczewski
4Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston MA, USA
5Broad Institute or MIT and Harvard, Cambridge MA, USA
Siu On Chan
6Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China.
Kaitlin Samocha
4Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston MA, USA
5Broad Institute or MIT and Harvard, Cambridge MA, USA
Monkol Lek
4Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston MA, USA
5Broad Institute or MIT and Harvard, Cambridge MA, USA
7Exome Aggregation Consortium (ExAC), Cambridge MA, USA
Shamil Sunyaev
5Broad Institute or MIT and Harvard, Cambridge MA, USA
8Division of Genetics, Brigham and Women’s Hospital, Harvard Medical School, Boston MA, USA
Mark Daly
4Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston MA, USA
5Broad Institute or MIT and Harvard, Cambridge MA, USA
9Department of Medicine, Harvard Medical School, Boston MA, USA
Daniel G MacArthur
4Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston MA, USA
5Broad Institute or MIT and Harvard, Cambridge MA, USA
9Department of Medicine, Harvard Medical School, Boston MA, USA
You do not have access to the full text of this article, the first page of the PDF of this article appears above.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Posted November 07, 2015.
Quantifying the unobserved protein-coding variants in human populations provides a roadmap for large-scale sequencing projects
James Zou, Gregory Valiant, Paul Valiant, Konrad Karczewski, Siu On Chan, Kaitlin Samocha, Monkol Lek, Exome Aggregation Consortium, Shamil Sunyaev, Mark Daly, Daniel G MacArthur
bioRxiv 030841; doi: https://doi.org/10.1101/030841
Quantifying the unobserved protein-coding variants in human populations provides a roadmap for large-scale sequencing projects
James Zou, Gregory Valiant, Paul Valiant, Konrad Karczewski, Siu On Chan, Kaitlin Samocha, Monkol Lek, Exome Aggregation Consortium, Shamil Sunyaev, Mark Daly, Daniel G MacArthur
bioRxiv 030841; doi: https://doi.org/10.1101/030841
Subject Area
Subject Areas
- Biochemistry (12944)
- Bioengineering (9841)
- Bioinformatics (31567)
- Biophysics (16273)
- Cancer Biology (13352)
- Cell Biology (19031)
- Clinical Trials (138)
- Developmental Biology (10315)
- Ecology (15324)
- Epidemiology (2067)
- Evolutionary Biology (19569)
- Genetics (12980)
- Genomics (17944)
- Immunology (13065)
- Microbiology (30509)
- Molecular Biology (12722)
- Neuroscience (66611)
- Paleontology (490)
- Pathology (2063)
- Pharmacology and Toxicology (3550)
- Physiology (5536)
- Plant Biology (11409)
- Synthetic Biology (3173)
- Systems Biology (7837)
- Zoology (1769)