Literature DB >> 16775037

Genetics of Kidneys in Diabetes (GoKinD) study: a genetics collection available for identifying genetic susceptibility factors for diabetic nephropathy in type 1 diabetes.

Patricia W Mueller1, John J Rogus, Patricia A Cleary, Yuan Zhao, Adam M Smiles, Michael W Steffes, Jean Bucksa, Therese B Gibson, Suzanne K Cordovado, Andrzej S Krolewski, Concepcion R Nierras, James H Warram.   

Abstract

The Genetics of Kidneys in Diabetes (GoKinD) study is an initiative that aims to identify genes that are involved in diabetic nephropathy. A large number of individuals with type 1 diabetes were screened to identify two subsets, one with clear-cut kidney disease and another with normal renal status despite long-term diabetes. Those who met additional entry criteria and consented to participate were enrolled. When possible, both parents also were enrolled to form family trios. As of November 2005, GoKinD included 3075 participants who comprise 671 case singletons, 623 control singletons, 272 case trios, and 323 control trios. Interested investigators may request the DNA collection and corresponding clinical data for GoKinD participants using the instructions and application form that are available at http://www.gokind.org/access. Participating scientists will have access to three data sets, each with distinct advantages. The set of 1294 singletons has adequate power to detect a wide range of genetic effects, even those of modest size. The set of case trios, which has adequate power to detect effects of moderate size, is not susceptible to false-positive results because of population substructure. The set of control trios is critical for excluding certain false-positive results that can occur in case trios and may be particularly useful for testing gene-environment interactions. Integration of the evidence from these three components into a single, unified analysis presents a challenge. This overview of the GoKinD study examines in detail the power of each study component and discusses analytic challenges that investigators will face in using this resource.

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Year:  2006        PMID: 16775037      PMCID: PMC2770870          DOI: 10.1681/ASN.2005080822

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  22 in total

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2.  A note on power approximations for the transmission/disequilibrium test.

Authors:  M Knapp
Journal:  Am J Hum Genet       Date:  1999-04       Impact factor: 11.025

3.  Sample size requirements for association studies of gene-gene interaction.

Authors:  W James Gauderman
Journal:  Am J Epidemiol       Date:  2002-03-01       Impact factor: 4.897

4.  Demonstrating stratification in a European American population.

Authors:  Catarina D Campbell; Elizabeth L Ogburn; Kathryn L Lunetta; Helen N Lyon; Matthew L Freedman; Leif C Groop; David Altshuler; Kristin G Ardlie; Joel N Hirschhorn
Journal:  Nat Genet       Date:  2005-07-24       Impact factor: 38.330

5.  The transmission/disequilibrium test: history, subdivision, and admixture.

Authors:  W J Ewens; R S Spielman
Journal:  Am J Hum Genet       Date:  1995-08       Impact factor: 11.025

6.  Clustering of long-term complications in families with diabetes in the diabetes control and complications trial. The Diabetes Control and Complications Trial Research Group.

Authors: 
Journal:  Diabetes       Date:  1997-11       Impact factor: 9.461

7.  Magnitude of end-stage renal disease in IDDM: a 35 year follow-up study.

Authors:  M Krolewski; P W Eggers; J H Warram
Journal:  Kidney Int       Date:  1996-12       Impact factor: 10.612

8.  Insertion/deletion polymorphism in the angiotensin-I-converting enzyme gene is associated with coronary heart disease in IDDM patients with diabetic nephropathy.

Authors:  L Tarnow; F Cambien; P Rossing; F S Nielsen; B V Hansen; L Lecerf; O Poirier; S Danilov; S Boelskifte; K Borch-Johnsen
Journal:  Diabetologia       Date:  1995-07       Impact factor: 10.122

9.  Familial factors determine the development of diabetic nephropathy in patients with IDDM.

Authors:  M Quinn; M C Angelico; J H Warram; A S Krolewski
Journal:  Diabetologia       Date:  1996-08       Impact factor: 10.122

10.  Susceptibility to human type 1 diabetes at IDDM2 is determined by tandem repeat variation at the insulin gene minisatellite locus.

Authors:  S T Bennett; A M Lucassen; S C Gough; E E Powell; D E Undlien; L E Pritchard; M E Merriman; Y Kawaguchi; M J Dronsfield; F Pociot
Journal:  Nat Genet       Date:  1995-03       Impact factor: 38.330

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  60 in total

1.  Genetic variation in the matrix metalloproteinase genes and diabetic nephropathy in type 1 diabetes.

Authors:  Masahiko Kure; Marcus G Pezzolesi; G David Poznik; Pisut Katavetin; Jan Skupien; Jonathon S Dunn; Josyf C Mychaleckyj; James H Warram; Andrzej S Krolewski
Journal:  Mol Genet Metab       Date:  2011-01-14       Impact factor: 4.797

Review 2.  Does familial clustering of risk factors for long-term diabetic complications leave any place for genes that act independently?

Authors:  Andrew D Paterson; Shelley B Bull
Journal:  J Cardiovasc Transl Res       Date:  2012-06-23       Impact factor: 4.132

3.  Translating associations between common kidney diseases and genetic variation into the clinic.

Authors:  Paul E Drawz; John R Sedor
Journal:  Semin Nephrol       Date:  2010-03       Impact factor: 5.299

4.  Gencrypt: one-way cryptographic hashes to detect overlapping individuals across samples.

Authors:  Michael C Turchin; Joel N Hirschhorn
Journal:  Bioinformatics       Date:  2012-02-01       Impact factor: 6.937

5.  On the use of general control samples for genome-wide association studies: genetic matching highlights causal variants.

Authors:  Diana Luca; Steven Ringquist; Lambertus Klei; Ann B Lee; Christian Gieger; H-Erich Wichmann; Stefan Schreiber; Michael Krawczak; Ying Lu; Alexis Styche; Bernie Devlin; Kathryn Roeder; Massimo Trucco
Journal:  Am J Hum Genet       Date:  2008-01-24       Impact factor: 11.025

Review 6.  Genome-wide association studies in type 1 diabetes.

Authors:  Struan F A Grant; Hakon Hakonarson
Journal:  Curr Diab Rep       Date:  2009-04       Impact factor: 4.810

7.  Evaluation of genetic association and expression reduction of TRPC1 in the development of diabetic nephropathy.

Authors:  Dongying Zhang; Barry I Freedman; Milan Flekac; Elisabete Santos; Pamela J Hicks; Donald W Bowden; Suad Efendic; Kerstin Brismar; Harvest F Gu
Journal:  Am J Nephrol       Date:  2008-09-19       Impact factor: 3.754

8.  Quantifying uncertainty in genotype calls.

Authors:  Benilton S Carvalho; Thomas A Louis; Rafael A Irizarry
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

9.  Promoter polymorphism of the erythropoietin gene in severe diabetic eye and kidney complications.

Authors:  Zongzhong Tong; Zhenglin Yang; Shrena Patel; Haoyu Chen; Daniel Gibbs; Xian Yang; Vincent S Hau; Yuuki Kaminoh; Jennifer Harmon; Erik Pearson; Jeanette Buehler; Yuhong Chen; Baifeng Yu; Nicholas H Tinkham; Norman A Zabriskie; Jiexi Zeng; Ling Luo; Jennifer K Sun; Manvi Prakash; Rola N Hamam; Stephen Tonna; Ryan Constantine; Cecinio C Ronquillo; SriniVas Sadda; Robert L Avery; John M Brand; Nyall London; Alfred L Anduze; George L King; Paul S Bernstein; Scott Watkins; Lynn B Jorde; Dean Y Li; Lloyd Paul Aiello; Martin R Pollak; Kang Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2008-05-05       Impact factor: 11.205

10.  Lack of an association between GHR exon 3 polymorphism and diabetic nephropathy in the Genetics of Kidneys in Diabetes (GoKinD) population.

Authors:  H F Gu; S Efendic; K Brismar
Journal:  Diabetologia       Date:  2008-09-05       Impact factor: 10.122

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