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...
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 |
Similar Items
-
Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts
by: Liao, Katherine P., et al.
Published: (2015) -
Mortality and extraintestinal cancers in patients with primary sclerosing cholangitis and inflammatory bowel disease
by: Ananthakrishnan, Ashwin N., et al.
Published: (2016) -
Association Between Reduced Plasma 25-Hydroxy Vitamin D and Increased Risk of Cancer in Patients With Inflammatory Bowel Diseases
by: Ananthakrishnan, Ashwin N., et al.
Published: (2016) -
Serum Inflammatory Markers and Risk of Colorectal Cancer in Patients With Inflammatory Bowel Diseases
by: Ananthakrishnan, Ashwin N., et al.
Published: (2016) -
Improving Case Definition of Crohnʼs Disease and Ulcerative Colitis in Electronic Medical Records Using Natural Language Processing
by: Ananthakrishnan, Ashwin N., et al.
Published: (2014)