TY - JOUR
T1 - Using the electronic health record for genomics research
AU - Safarova, Maya S.
AU - Kullo, Iftikhar J.
N1 - Funding Information:
I.J.K. is supported by the National Human Genome Research Institute's electronic Medical Records and Genomics (eMERGE) Network through grant HG006379, and grants R01 HL135879 and K24 HL137010 from the National Heart Lung and Blood Institute. M.S.S. was supported by the American Heart Association Postdoctoral Fellowship Award 16POST27280004; and the American Heart Association grant 17IG33660937. The National Human Genome Research Institute and American Heart Association had no role in the content of the work; preparation, review, or approval of the article; and decision to submit the article for publication.
Publisher Copyright:
© 2021 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Purpose of reviewAlthough primarily designed for medical documentation and billing purposes, the electronic health record (EHR) has significant potential for translational research. In this article, we provide an overview of the use of the EHR for genomics research with a focus on heritable lipid disorders.Recent findingsLinking the EHR to genomic data enables repurposing of vast phenotype data for genomic discovery. EHR data can be used to study the genetic basis of common and rare disorders, identify subphenotypes of diseases, assess pathogenicity of novel genomic variants, investigate pleiotropy, and rapidly assemble cohorts for genomic medicine clinical trials. EHR-based discovery can inform clinical practice; examples include use of polygenic risk scores for assessing disease risk and use of phenotype data to interpret rare variants. Despite limitations such as missing data, variable use of standards and poor interoperablility between disparate systems, the EHR is a powerful resource for genomic research.SummaryWhen linked to genomic data, the EHR can be leveraged for genomic discovery, which in turn can inform clinical care, exemplifying the virtuous cycle of a learning healthcare system.
AB - Purpose of reviewAlthough primarily designed for medical documentation and billing purposes, the electronic health record (EHR) has significant potential for translational research. In this article, we provide an overview of the use of the EHR for genomics research with a focus on heritable lipid disorders.Recent findingsLinking the EHR to genomic data enables repurposing of vast phenotype data for genomic discovery. EHR data can be used to study the genetic basis of common and rare disorders, identify subphenotypes of diseases, assess pathogenicity of novel genomic variants, investigate pleiotropy, and rapidly assemble cohorts for genomic medicine clinical trials. EHR-based discovery can inform clinical practice; examples include use of polygenic risk scores for assessing disease risk and use of phenotype data to interpret rare variants. Despite limitations such as missing data, variable use of standards and poor interoperablility between disparate systems, the EHR is a powerful resource for genomic research.SummaryWhen linked to genomic data, the EHR can be leveraged for genomic discovery, which in turn can inform clinical care, exemplifying the virtuous cycle of a learning healthcare system.
KW - electronic health record
KW - electronic phenotyping
KW - familial hypercholesterolemia
KW - genetics and genomics
KW - informatics
KW - phenome-wide association studies
KW - translational research
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U2 - 10.1097/MOL.0000000000000662
DO - 10.1097/MOL.0000000000000662
M3 - Review article
C2 - 32073412
AN - SCOPUS:85081085442
SN - 0957-9672
VL - 31
SP - 85
EP - 93
JO - Current Opinion in Lipidology
JF - Current Opinion in Lipidology
IS - 2
ER -