Stephen L Guthery1, Geraldine Mineau, Richard Pimentel, Marc S Williams, Richard A Kerber. 1. Division of Pediatric Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of Utah School of Medicine and Primary Children's Medical Center, Salt Lake City, Utah 84113, USA. Stephen.Guthery@hsc.utah.edu
Abstract
BACKGROUND: The observed heritability of inflammatory bowel disease (IBD) is incompletely explained by known genetic risk factors. Kindred-specific genetic variants that cause IBD may be a source of "missing heritability." Given that they have been previously difficult to identify, we sought to identify high-risk IBD kindreds. METHODS: We used a large population-based database--the Utah Population Database (UPDB)--which contains genealogical and healthcare data to characterize the risk of Crohn's disease (CD), ulcerative colitis (UC), and IBD in kindreds. We identified CD and UC cases using ICD-9 codes. We calculated the adjusted relative risk to relatives of affected individuals. We calculated the familial standardized incidence ratio (FSIR) to quantify the kindred-specific disease risk. RESULTS: In all, 3601 CD cases and 3976 UC cases met inclusion criteria. A total of 655 CD kindreds and 615 UC kindreds had a statistical excess of disease. Risk of disease varied among kindreds, with some kindreds demonstrating ≈ 20-fold elevated risk. For CD, UC, and IBD, relative risks were significantly elevated for first- and second-degree relatives and first cousins. The adjusted population attributable risks for familial CD, UC, and IBD were 0.20 (95% confidence interval [CI]: 0.17-0.23); 0.17 (0.14-0.21); and 0.19 (0.17-0.22), respectively. CONCLUSIONS: We identified multiple kindreds with a statistical excess of CD, UC, and IBD, and validated the UPDB as a resource for family studies in IBD. Given the need for novel genetic mapping strategies to explain the apparent missing heritability in IBD, further studies of these high-risk kindreds is justified.
BACKGROUND: The observed heritability of inflammatory bowel disease (IBD) is incompletely explained by known genetic risk factors. Kindred-specific genetic variants that cause IBD may be a source of "missing heritability." Given that they have been previously difficult to identify, we sought to identify high-risk IBD kindreds. METHODS: We used a large population-based database--the Utah Population Database (UPDB)--which contains genealogical and healthcare data to characterize the risk of Crohn's disease (CD), ulcerative colitis (UC), and IBD in kindreds. We identified CD and UC cases using ICD-9 codes. We calculated the adjusted relative risk to relatives of affected individuals. We calculated the familial standardized incidence ratio (FSIR) to quantify the kindred-specific disease risk. RESULTS: In all, 3601 CD cases and 3976 UC cases met inclusion criteria. A total of 655 CD kindreds and 615 UC kindreds had a statistical excess of disease. Risk of disease varied among kindreds, with some kindreds demonstrating ≈ 20-fold elevated risk. For CD, UC, and IBD, relative risks were significantly elevated for first- and second-degree relatives and first cousins. The adjusted population attributable risks for familial CD, UC, and IBD were 0.20 (95% confidence interval [CI]: 0.17-0.23); 0.17 (0.14-0.21); and 0.19 (0.17-0.22), respectively. CONCLUSIONS: We identified multiple kindreds with a statistical excess of CD, UC, and IBD, and validated the UPDB as a resource for family studies in IBD. Given the need for novel genetic mapping strategies to explain the apparent missing heritability in IBD, further studies of these high-risk kindreds is justified.
Authors: Scott L DuVall; Alison M Fraser; Kerry Rowe; Alun Thomas; Geraldine P Mineau Journal: J Am Med Inform Assoc Date: 2011-09-16 Impact factor: 4.497
Authors: Karen Curtin; Ken R Smith; Alison Fraser; Richard Pimentel; Wendy Kohlmann; Joshua D Schiffman Journal: Int J Cancer Date: 2013-06-12 Impact factor: 7.396
Authors: Jiun-Sheng Chen; Fulan Hu; Subra Kugathasan; Lynn B Jorde; David Nix; Ann Rutherford; Lee Denson; W Scott Watkins; Sampath Prahalad; Chad Huff; Stephen L Guthery Journal: G3 (Bethesda) Date: 2018-08-30 Impact factor: 3.154