Literature DB >> 17698600

Genotype by diabetes interaction effects on the detection of linkage of glomerular filtration rate to a region on chromosome 2q in Mexican Americans.

Sobha Puppala1, Rector Arya, Farook Thameem, Nedal H Arar, Kusum Bhandari, Donna M Lehman, Jennifer Schneider, Sharon Fowler, Vidya S Farook, Vincent P Diego, Laura Almasy, John Blangero, Michael P Stern, Ravindranath Duggirala, Hanna E Abboud.   

Abstract

OBJECTIVE: Glomerular filtration rate (GFR) is used to assess the progression of renal disease. We performed linkage analysis to localize genes that influence GFR using estimated GFR data from the San Antonio Family Diabetes/Gallbladder Study. We also examined the effect of genotype by diabetes interaction (G x DM) on the detection of linkage to address whether genetic effects on GFR differ in diabetic and nondiabetic subjects. RESEARCH DESIGN AND METHODS: GFR (N = 453) was estimated using the recently recalculated Cockcroft-Gault (GFR-CGc) and the simplified Modification of Diet in Renal Disease (GFR-4VMDRD) formulae. Both estimates of GFR exhibited significant heritabilities, but only GFR-CGc showed significant G x DM interaction. We therefore performed multipoint linkage analyses on both GFR measures using models that did not include G x DM interaction effects (Model 1) and that included G x DM interaction effects (Model 2, in the case of GFR-CGc).
RESULTS: The strongest evidence for linkage (Model 1) of both GFR-CGc (logarithm of odds [LOD] 2.9) and GFR-4VMDRD (LOD 2.6) occurred between markers D9S922 and D9S1120 on chromosome 9q. However, using Model 2, the strongest evidence for linkage of GFR-CGc on chromosome 2q was found near marker D2S427 (corrected LOD score [LOD(C)] 3.3) compared with the LOD score of 2.7 based on Model 1. Potential linkages (LOD or LOD(C) >or=1.2) were found only for GFR-CGc on chromosomes 3p, 3q, 4p, 8q, 11q, and 14q.
CONCLUSIONS: We found a major locus on chromosome 2q that differentially influences GFR in diabetic and nondiabetic environments in the Mexican-American population.

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Year:  2007        PMID: 17698600     DOI: 10.2337/db06-0984

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  20 in total

1.  A genome-wide search for linkage to chronic kidney disease in a community-based sample: the SAFHS.

Authors:  Nedal H Arar; Venkata S Voruganti; Subrata D Nath; Farook Thameem; Richard Bauer; Shelley A Cole; John Blangero; Jean W MacCluer; Anthony G Comuzzie; Hanna E Abboud
Journal:  Nephrol Dial Transplant       Date:  2008-04-28       Impact factor: 5.992

Review 2.  Meta-analysis of genome-wide linkage scans for renal function traits.

Authors:  Madhumathi Rao; Amy K Mottl; Shelley A Cole; Jason G Umans; Barry I Freedman; Donald W Bowden; Carl D Langefeld; Caroline S Fox; Qiong Yang; Adrienne Cupples; Sudha K Iyengar; Steven C Hunt; Thomas A Trikalinos
Journal:  Nephrol Dial Transplant       Date:  2011-05-28       Impact factor: 5.992

3.  Mexican-American admixture mapping analyses for diabetic nephropathy in type 2 diabetes mellitus.

Authors:  Sharon Adler; Madeleine Pahl; Hanna Abboud; Susanne Nicholas; Eli Ipp; Michael Seldin
Journal:  Semin Nephrol       Date:  2010-03       Impact factor: 5.299

Review 4.  The genetic risk of kidney disease in type 2 diabetes.

Authors:  Marcus G Pezzolesi; Andrzej S Krolewski
Journal:  Med Clin North Am       Date:  2012-12-07       Impact factor: 5.456

Review 5.  Susceptibility gene search for nephropathy and related traits in Mexican-Americans.

Authors:  Farook Thameem; Issa A Kawalit; Sharon G Adler; Hanna E Abboud
Journal:  Mol Biol Rep       Date:  2013-09-22       Impact factor: 2.316

6.  Genetic variants in the renin-angiotensin system genes are associated with cardiovascular-renal-related risk factors in Mexican Americans.

Authors:  Farook Thameem; V Saroja Voruganti; Xin He; Subrata D Nath; John Blangero; Jean W MacCluer; Anthony G Comuzzie; Hanna E Abboud; Nedal H Arar
Journal:  Hum Genet       Date:  2008-11-06       Impact factor: 4.132

7.  A meta-analysis of genome-wide data from five European isolates reveals an association of COL22A1, SYT1, and GABRR2 with serum creatinine level.

Authors:  Cristian Pattaro; Alessandro De Grandi; Veronique Vitart; Caroline Hayward; Andre Franke; Yurii S Aulchenko; Asa Johansson; Sarah H Wild; Scott A Melville; Aaron Isaacs; Ozren Polasek; David Ellinghaus; Ivana Kolcic; Ute Nöthlings; Lina Zgaga; Tatijana Zemunik; Carsten Gnewuch; Stefan Schreiber; Susan Campbell; Nick Hastie; Mladen Boban; Thomas Meitinger; Ben A Oostra; Peter Riegler; Cosetta Minelli; Alan F Wright; Harry Campbell; Cornelia M van Duijn; Ulf Gyllensten; James F Wilson; Michael Krawczak; Igor Rudan; Peter P Pramstaller
Journal:  BMC Med Genet       Date:  2010-03-11       Impact factor: 2.103

8.  Significant genotype by diet (G × D) interaction effects on cardiometabolic responses to a pedigree-wide, dietary challenge in vervet monkeys (Chlorocebus aethiops sabaeus).

Authors:  Venkata S Voruganti; Matthew J Jorgensen; Jay R Kaplan; Kylie Kavanagh; Larry L Rudel; Ryan Temel; Lynn A Fairbanks; Anthony G Comuzzie
Journal:  Am J Primatol       Date:  2013-01-11       Impact factor: 2.371

9.  Genetic analysis of albuminuria in aging mice and concordance with loci for human diabetic nephropathy found in a genome-wide association scan.

Authors:  Shirng-Wern Tsaih; Marcus G Pezzolesi; Rong Yuan; James H Warram; Andrzej S Krolewski; Ron Korstanje
Journal:  Kidney Int       Date:  2009-11-18       Impact factor: 10.612

10.  Evaluation of gremlin 1 (GREM1) as a candidate susceptibility gene for albuminuria-related traits in Mexican Americans with type 2 diabetes mellitus.

Authors:  Farook Thameem; Sobha Puppala; Xin He; Nedal H Arar; Michael P Stern; John Blangero; Ravindranath Duggirala; Hanna E Abboud
Journal:  Metabolism       Date:  2009-07-04       Impact factor: 8.694

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