Blacklisting variants common in private cohorts but not in public databases optimizes human exome analysis

Maffucci, Patrick, Bigio, Benedetta, Rapaport, Franck, Cobat, Aurélie, Borghesi, Alessandro, Lopez, Marie, Patin, Etienne, Bolze, Alexandre, Shang, Lei, Bendavid, Matthieu, Scott, Eric M., Stenson, Peter D., Cunningham-Rundles, Charlotte, Cooper, David N. ORCID: https://orcid.org/0000-0002-8943-8484, Gleeson, Joseph G., Fellay, Jacques, Quintana-Murci, Lluis, Casanova, Jean-Laurent, Abel, Laurent, Boisson, Bertrand and Itan, Yuval 2019. Blacklisting variants common in private cohorts but not in public databases optimizes human exome analysis. Proceedings of the National Academy of Sciences 116 , pp. 950-959. 10.1073/pnas.1808403116

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Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine
Publisher:	National Academy of Sciences
ISSN:	0027-8424
Date of First Compliant Deposit:	10 January 2019
Date of Acceptance:	27 December 2018
Last Modified:	22 Apr 2024 18:40
URI:	https://orca.cardiff.ac.uk/id/eprint/118282

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