OBJECTIVE: To identify genetic variants in linkage disequilibrium with those conferring diabetes susceptibility, a genome-wide association study for young-onset diabetes was conducted in an American-Indian population. RESEARCH DESIGN AND METHODS: Data come from 300 case subjects with type 2 diabetes with age of onset <25 years and 334 nondiabetic control subjects aged >or=45 years. To provide for tests of within-family association, 121 nondiabetic siblings of case subjects were included along with 140 diabetic siblings of control subjects (172 sibships). Individuals were genotyped on the Affymetrix 100K array, resulting in 80,044 usable single nucleotide polymorphisms (SNPs). SNPs were analyzed for within-family association and for general association in case and control subjects, and these tests were combined by Fisher's method, with priority given to the within-family test. RESULTS: There were more SNPs with low P values than expected theoretically under the global null hypothesis of no association, and 128 SNPs had evidence for association at P < 0.001. The association of these SNPs with diabetes was further investigated in 1,207 diabetic and 1,627 nondiabetic individuals from the population study who were not included in the genome-wide study. SNPs from 10 genomic regions showed evidence for replication at P < 0.05. These included SNPs on chromosome 3 near ZNF659, chromosome 11 near FANCF, chromosome 11 near ZBTB15, and chromosome 12 near SENP1. CONCLUSIONS: These studies suggest several regions where marker alleles are potentially in linkage disequilibrium with variants that confer susceptibility to young-onset type 2 diabetes in American Indians.
OBJECTIVE: To identify genetic variants in linkage disequilibrium with those conferring diabetes susceptibility, a genome-wide association study for young-onset diabetes was conducted in an American-Indian population. RESEARCH DESIGN AND METHODS: Data come from 300 case subjects with type 2 diabetes with age of onset <25 years and 334 nondiabetic control subjects aged >or=45 years. To provide for tests of within-family association, 121 nondiabetic siblings of case subjects were included along with 140 diabetic siblings of control subjects (172 sibships). Individuals were genotyped on the Affymetrix 100K array, resulting in 80,044 usable single nucleotide polymorphisms (SNPs). SNPs were analyzed for within-family association and for general association in case and control subjects, and these tests were combined by Fisher's method, with priority given to the within-family test. RESULTS: There were more SNPs with low P values than expected theoretically under the global null hypothesis of no association, and 128 SNPs had evidence for association at P < 0.001. The association of these SNPs with diabetes was further investigated in 1,207 diabetic and 1,627 nondiabetic individuals from the population study who were not included in the genome-wide study. SNPs from 10 genomic regions showed evidence for replication at P < 0.05. These included SNPs on chromosome 3 near ZNF659, chromosome 11 near FANCF, chromosome 11 near ZBTB15, and chromosome 12 near SENP1. CONCLUSIONS: These studies suggest several regions where marker alleles are potentially in linkage disequilibrium with variants that confer susceptibility to young-onset type 2 diabetes in American Indians.
Authors: Stéphane Cauchi; Christine Proença; Hélène Choquet; Stefan Gaget; Franck De Graeve; Michel Marre; Beverley Balkau; Jean Tichet; David Meyre; Martine Vaxillaire; Philippe Froguel Journal: J Mol Med (Berl) Date: 2008-01-22 Impact factor: 4.599
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Authors: Jacob DeMenna; Sobha Puppala; Geetha Chittoor; Jennifer Schneider; Joon Young Kim; Gabriel Q Shaibi; Lawrence J Mandarino; Ravindranath Duggirala; Dawn K Coletta Journal: Hum Hered Date: 2014-07-08 Impact factor: 0.444
Authors: Li Bian; Robert L Hanson; Victoria Ossowski; Kim Wiedrich; Clinton C Mason; Michael Traurig; Yunhua L Muller; Sayuko Kobes; William C Knowler; Leslie J Baier; Clifton Bogardus Journal: Diabetes Date: 2010-02-25 Impact factor: 9.461
Authors: Lijun Ma; Robert L Hanson; Michael T Traurig; Yunhua L Muller; Bakhshish P Kaur; Jessica M Perez; David Meyre; Mao Fu; Antje Körner; Paul W Franks; Wieland Kiess; Sayuko Kobes; William C Knowler; Peter Kovacs; Philippe Froguel; Alan R Shuldiner; Clifton Bogardus; Leslie J Baier Journal: Diabetes Date: 2010-08-19 Impact factor: 9.461