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Association of chromosome 9p21 SNPs with cardiovascular phenotypes in morbid obesity using electronic health record data.
Genomic Med. 2008 Jan;2(1-2):33-43. doi: 10.1007/s11568-008-9023-z. Epub 2008 Jul 26.
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A regression framework to uncover pleiotropy in large-scale electronic health record data.
J Am Med Inform Assoc. 2019 Oct 1;26(10):1083-1090. doi: 10.1093/jamia/ocz084.
7
Common genetic variants on chromosome 9p21 confers risk of ischemic stroke: a large-scale genetic association study.
Circ Cardiovasc Genet. 2009 Apr;2(2):159-64. doi: 10.1161/CIRCGENETICS.108.835173. Epub 2009 Feb 12.
9
A genome-wide association study of polycystic ovary syndrome identified from electronic health records.
Am J Obstet Gynecol. 2020 Oct;223(4):559.e1-559.e21. doi: 10.1016/j.ajog.2020.04.004. Epub 2020 Apr 11.
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Merging Electronic Health Record Data and Genomics for Cardiovascular Research: A Science Advisory From the American Heart Association.
Circ Cardiovasc Genet. 2016 Apr;9(2):193-202. doi: 10.1161/HCG.0000000000000029. Epub 2016 Mar 14.

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1
The Role of Electronic Health Records in Advancing Genomic Medicine.
Annu Rev Genomics Hum Genet. 2021 Aug 31;22:219-238. doi: 10.1146/annurev-genom-121120-125204. Epub 2021 May 26.
2
Impact of Diverse Data Sources on Computational Phenotyping.
Front Genet. 2020 Jun 3;11:556. doi: 10.3389/fgene.2020.00556. eCollection 2020.
3
Using Electronic Health Records To Generate Phenotypes For Research.
Curr Protoc Hum Genet. 2019 Jan;100(1):e80. doi: 10.1002/cphg.80. Epub 2018 Dec 5.
5
Reduction of Animal Sacrifice in Biomedical Science & Research through Alternative Design of Animal Experiments.
Saudi Pharm J. 2018 Sep;26(6):896-902. doi: 10.1016/j.jsps.2018.03.006. Epub 2018 Mar 12.
6
Merging Electronic Health Record Data and Genomics for Cardiovascular Research: A Science Advisory From the American Heart Association.
Circ Cardiovasc Genet. 2016 Apr;9(2):193-202. doi: 10.1161/HCG.0000000000000029. Epub 2016 Mar 14.
7
Disproportionate Contributions of Select Genomic Compartments and Cell Types to Genetic Risk for Coronary Artery Disease.
PLoS Genet. 2015 Oct 28;11(10):e1005622. doi: 10.1371/journal.pgen.1005622. eCollection 2015 Oct.
8
Extracting research-quality phenotypes from electronic health records to support precision medicine.
Genome Med. 2015 Apr 30;7(1):41. doi: 10.1186/s13073-015-0166-y. eCollection 2015.
10
Chapter 13: Mining electronic health records in the genomics era.
PLoS Comput Biol. 2012;8(12):e1002823. doi: 10.1371/journal.pcbi.1002823. Epub 2012 Dec 27.

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