OBJECTIVE: To map and identify susceptibility genes for NIDDM and for the intermediate quantitative traits associated with NIDDM. RESEARCH DESIGN AND METHODS: We describe the methodology and sample of the Finland-United States Investigation of NIDDM Genetics (FUSION) study. The whole genome search approach is being applied in studies of several different ethnic groups to locate susceptibility genes for NIDDM. Detailed description of the study materials and designs of such studies are important, particularly when comparing the findings in these studies and when combining different data sets. RESULTS: Using a careful selection strategy, we have ascertained 495 families with confirmed NIDDM in at least two siblings and no history of IDDM among the first-degree relatives. These families were chosen from more than 22,000 NIDDM patients, representative of patients with NIDDM in the Finnish population. In a subset of families, a spouse and offspring were sampled, and they participated in a frequently sampled intravenous glucose tolerance test (FSIGT) analyzed with the Minimal Model. An FSIGT was completed successfully for at least two nondiabetic offspring in 156 families with a confirmed nondiabetic spouse and no history of IDDM in first-degree relatives. CONCLUSIONS: Our work demonstrates the feasibility of collecting a large number of affected sib-pair families with NIDDM to provide data that will enable a whole genome search approach, including linkage analysis.
OBJECTIVE: To map and identify susceptibility genes for NIDDM and for the intermediate quantitative traits associated with NIDDM. RESEARCH DESIGN AND METHODS: We describe the methodology and sample of the Finland-United States Investigation of NIDDM Genetics (FUSION) study. The whole genome search approach is being applied in studies of several different ethnic groups to locate susceptibility genes for NIDDM. Detailed description of the study materials and designs of such studies are important, particularly when comparing the findings in these studies and when combining different data sets. RESULTS: Using a careful selection strategy, we have ascertained 495 families with confirmed NIDDM in at least two siblings and no history of IDDM among the first-degree relatives. These families were chosen from more than 22,000 NIDDMpatients, representative of patients with NIDDM in the Finnish population. In a subset of families, a spouse and offspring were sampled, and they participated in a frequently sampled intravenous glucose tolerance test (FSIGT) analyzed with the Minimal Model. An FSIGT was completed successfully for at least two nondiabetic offspring in 156 families with a confirmed nondiabetic spouse and no history of IDDM in first-degree relatives. CONCLUSIONS: Our work demonstrates the feasibility of collecting a large number of affected sib-pair families with NIDDM to provide data that will enable a whole genome search approach, including linkage analysis.
Authors: K L Mohlke; E M Lange; T T Valle; S Ghosh; V L Magnuson; K Silander; R M Watanabe; P S Chines; R N Bergman; J Tuomilehto; F S Collins; M Boehnke Journal: Genome Res Date: 2001-07 Impact factor: 9.043
Authors: Karen L Mohlke; Michael R Erdos; Laura J Scott; Tasha E Fingerlin; Anne U Jackson; Kaisa Silander; Pablo Hollstein; Michael Boehnke; Francis S Collins Journal: Proc Natl Acad Sci U S A Date: 2002-12-13 Impact factor: 11.205
Authors: Jamie K Teer; Lori L Bonnycastle; Peter S Chines; Nancy F Hansen; Natsuyo Aoyama; Amy J Swift; Hatice Ozel Abaan; Thomas J Albert; Elliott H Margulies; Eric D Green; Francis S Collins; James C Mullikin; Leslie G Biesecker Journal: Genome Res Date: 2010-09-01 Impact factor: 9.043
Authors: S Ghosh; E R Hauser; V L Magnuson; T Valle; D S Ally; Z E Karanjawala; J B Rayman; J I Knapp; A Musick; J Tannenbaum; C Te; W Eldridge; S Shapiro; T Musick; C Martin; A So; A Witt; J B Harvan; R M Watanabe; W Hagopian; J Eriksson; S J Nylund; K Kohtamaki; E Tuomilehto-Wolf; M Boehnke Journal: J Clin Invest Date: 1998-08-15 Impact factor: 14.808