OBJECTIVE: The aim was to investigate the genetic background of familial clustering of type 2 diabetes. SUBJECTS AND METHODS: We recruited Japanese families with a 3-generation history of diabetes. Genome-wide linkage analysis was performed assuming an autosomal dominant model. Genes in the linkage region were computationally prioritized using Endeavour. We sequenced the candidate genes, and the frequencies of detected nucleotide changes were then examined in normoglycemic controls. RESULTS: To exclude known genetic factors, we sequenced 6 maturity onset diabetes of the young (MODY) genes in 10 familial cases. Because we detected a MODY3 mutation HNF1A R583G in one case, we excluded this case from further investigation. Linkage analysis revealed a significant linkage region on 2p25-22 (LOD score=3.47) for 4 families. The 23.6-Mb linkage region contained 106 genes. Those genes were scored by computational prioritization. Eleven genes, i.e., top 10% of 106 genes, were selected and considered primary candidates. Considering their functions, we eliminated 3 well characterized genes and finally sequenced 8 genes. GCKR ranked highly in the computational prioritization. Mutations (minor allele frequency less than 1%) in exons and the promoter of GCKR were found in index cases of the families (3 of 18 alleles) more frequently than in controls (0 of 36 alleles, P=0.033). In one pedigree with 9 affected members, the mutation GCKR g.6859C>G was concordant with affection status. No mutation in other 7 genes that ranked highly in the prioritization was concordant with affection status in families. CONCLUSIONS: We propose that GCKR is a susceptibility gene in Japanese families with clustered diabetes. The family based approach seems to be complementary with a large population study.
OBJECTIVE: The aim was to investigate the genetic background of familial clustering of type 2 diabetes. SUBJECTS AND METHODS: We recruited Japanese families with a 3-generation history of diabetes. Genome-wide linkage analysis was performed assuming an autosomal dominant model. Genes in the linkage region were computationally prioritized using Endeavour. We sequenced the candidate genes, and the frequencies of detected nucleotide changes were then examined in normoglycemic controls. RESULTS: To exclude known genetic factors, we sequenced 6 maturity onset diabetes of the young (MODY) genes in 10 familial cases. Because we detected a MODY3 mutation HNF1AR583G in one case, we excluded this case from further investigation. Linkage analysis revealed a significant linkage region on 2p25-22 (LOD score=3.47) for 4 families. The 23.6-Mb linkage region contained 106 genes. Those genes were scored by computational prioritization. Eleven genes, i.e., top 10% of 106 genes, were selected and considered primary candidates. Considering their functions, we eliminated 3 well characterized genes and finally sequenced 8 genes. GCKR ranked highly in the computational prioritization. Mutations (minor allele frequency less than 1%) in exons and the promoter of GCKR were found in index cases of the families (3 of 18 alleles) more frequently than in controls (0 of 36 alleles, P=0.033). In one pedigree with 9 affected members, the mutation GCKR g.6859C>G was concordant with affection status. No mutation in other 7 genes that ranked highly in the prioritization was concordant with affection status in families. CONCLUSIONS: We propose that GCKR is a susceptibility gene in Japanese families with clustered diabetes. The family based approach seems to be complementary with a large population study.
Authors: N Pineda-Trujillo; A Rodríguez-Acevedo; A Rodríguez; A Ruíz-Linares; G Bedoya; A Rivera; J-M Alfaro Journal: J Endocrinol Invest Date: 2017-12-04 Impact factor: 4.256
Authors: Andrea D Coviello; Robin Haring; Melissa Wellons; Dhananjay Vaidya; Terho Lehtimäki; Sarah Keildson; Kathryn L Lunetta; Chunyan He; Myriam Fornage; Vasiliki Lagou; Massimo Mangino; N Charlotte Onland-Moret; Brian Chen; Joel Eriksson; Melissa Garcia; Yong Mei Liu; Annemarie Koster; Kurt Lohman; Leo-Pekka Lyytikäinen; Ann-Kristin Petersen; Jennifer Prescott; Lisette Stolk; Liesbeth Vandenput; Andrew R Wood; Wei Vivian Zhuang; Aimo Ruokonen; Anna-Liisa Hartikainen; Anneli Pouta; Stefania Bandinelli; Reiner Biffar; Georg Brabant; David G Cox; Yuhui Chen; Steven Cummings; Luigi Ferrucci; Marc J Gunter; Susan E Hankinson; Hannu Martikainen; Albert Hofman; Georg Homuth; Thomas Illig; John-Olov Jansson; Andrew D Johnson; David Karasik; Magnus Karlsson; Johannes Kettunen; Douglas P Kiel; Peter Kraft; Jingmin Liu; Östen Ljunggren; Mattias Lorentzon; Marcello Maggio; Marcello R P Markus; Dan Mellström; Iva Miljkovic; Daniel Mirel; Sarah Nelson; Laure Morin Papunen; Petra H M Peeters; Inga Prokopenko; Leslie Raffel; Martin Reincke; Alex P Reiner; Kathryn Rexrode; Fernando Rivadeneira; Stephen M Schwartz; David Siscovick; Nicole Soranzo; Doris Stöckl; Shelley Tworoger; André G Uitterlinden; Carla H van Gils; Ramachandran S Vasan; H-Erich Wichmann; Guangju Zhai; Shalender Bhasin; Martin Bidlingmaier; Stephen J Chanock; Immaculata De Vivo; Tamara B Harris; David J Hunter; Mika Kähönen; Simin Liu; Pamela Ouyang; Tim D Spector; Yvonne T van der Schouw; Jorma Viikari; Henri Wallaschofski; Mark I McCarthy; Timothy M Frayling; Anna Murray; Steve Franks; Marjo-Riitta Järvelin; Frank H de Jong; Olli Raitakari; Alexander Teumer; Claes Ohlsson; Joanne M Murabito; John R B Perry Journal: PLoS Genet Date: 2012-07-19 Impact factor: 5.917
Authors: Carlos J Pirola; Diego Flichman; Hernán Dopazo; Tomas Fernández Gianotti; Julio San Martino; Cristian Rohr; Martin Garaycoechea; Carla Gazzi; Gustavo O Castaño; Silvia Sookoian Journal: Hepatol Commun Date: 2018-09-05