Ashwin N Ananthakrishnan1, Andrew Cagan, Tianxi Cai, Vivian S Gainer, Stanley Y Shaw, Susanne Churchill, Elizabeth W Karlson, Shawn N Murphy, Isaac Kohane, Katherine P Liao, Ramnik J Xavier. 1. *Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts; †Harvard Medical School, Boston, Massachusetts; ‡Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts; §Research IS and Computing, Partners HealthCare, Charlestown, Massachusetts; ‖Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts; ¶Center for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts; **i2b2 National Center for Biomedical Computing, Boston, Massachusetts; ††Division of Rheumatology, Allergy and Immunology, Brigham and Women's Hospital, Boston, Massachusetts; ‡‡Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts; §§Children's Hospital Boston, Boston, Massachusetts; and ‖‖Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, Massachusetts.
Abstract
BACKGROUND: The accuracy and utility of electronic health record (EHR)-derived phenotypes in replicating genotype-phenotype relationships have been infrequently examined. Low circulating vitamin D levels are associated with severe outcomes in inflammatory bowel disease (IBD); however, the genetic basis for vitamin D insufficiency in this population has not been examined previously. METHODS: We compared the accuracy of physician-assigned phenotypes in a large prospective IBD registry to that identified by an EHR algorithm incorporating codified and structured data. Genotyping for IBD risk alleles was performed on the Immunochip and a genetic risk score calculated and compared between EHR-defined patients and those in the registry. Additionally, 4 vitamin D risk alleles were genotyped and serum 25-hydroxy vitamin D [25(OH)D] levels compared across genotypes. RESULTS: A total of 1131 patients captured by our EHR algorithm were also included in our prospective registry (656 Crohn's disease, 475 ulcerative colitis). The overall genetic risk score for Crohn's disease (P = 0.13) and ulcerative colitis (P = 0.32) was similar between EHR-defined patients and a prospective registry. Three of the 4 vitamin D risk alleles were associated with low vitamin D levels in patients with IBD and contributed an additional 3% of the variance explained. Vitamin D genetic risk score did not predict normalization of vitamin D levels. CONCLUSIONS: EHR cohorts form valuable data sources for examining genotype-phenotype relationships. Vitamin D risk alleles explain 3% of the variance in vitamin D levels in patients with IBD.
BACKGROUND: The accuracy and utility of electronic health record (EHR)-derived phenotypes in replicating genotype-phenotype relationships have been infrequently examined. Low circulating vitamin D levels are associated with severe outcomes in inflammatory bowel disease (IBD); however, the genetic basis for vitamin Dinsufficiency in this population has not been examined previously. METHODS: We compared the accuracy of physician-assigned phenotypes in a large prospective IBD registry to that identified by an EHR algorithm incorporating codified and structured data. Genotyping for IBD risk alleles was performed on the Immunochip and a genetic risk score calculated and compared between EHR-defined patients and those in the registry. Additionally, 4 vitamin D risk alleles were genotyped and serum 25-hydroxy vitamin D [25(OH)D] levels compared across genotypes. RESULTS: A total of 1131 patients captured by our EHR algorithm were also included in our prospective registry (656 Crohn's disease, 475 ulcerative colitis). The overall genetic risk score for Crohn's disease (P = 0.13) and ulcerative colitis (P = 0.32) was similar between EHR-defined patients and a prospective registry. Three of the 4 vitamin D risk alleles were associated with low vitamin D levels in patients with IBD and contributed an additional 3% of the variance explained. Vitamin D genetic risk score did not predict normalization of vitamin D levels. CONCLUSIONS: EHR cohorts form valuable data sources for examining genotype-phenotype relationships. Vitamin D risk alleles explain 3% of the variance in vitamin D levels in patients with IBD.
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