Improving the power of genetic association tests with imperfect phenotype derived from electronic medical records

Improving the power of genetic association tests with imperfect phenotype derived from electronic medical records

To reduce costs and improve clinical relevance of genetic studies, there has been increasing interest in performing such studies in hospital-based cohorts by linking phenotypes extracted from electronic medical records (EMRs) to genotypes assessed in routinely collected medical samples. A fundamenta...

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Bibliographic Details
Main Authors: Sinnott, Jennifer A., Dai, Wei, Liao, Katherine P., Shaw, Stanley Y., Ananthakrishnan, Ashwin N., Gainer, Vivian S., Karlson, Elizabeth W., Churchill, Susanne, Szolovits, Peter, Murphy, Shawn N., Kohane, Isaac, Plenge, Robert, Cai, Tianxi
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Springer-Verlag 2016
Online Access:http://hdl.handle.net/1721.1/101048
https://orcid.org/0000-0001-8411-6403

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http://hdl.handle.net/1721.1/101048
https://orcid.org/0000-0001-8411-6403

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