Literature DB >> 18003762

Genome-wide scan for estimated glomerular filtration rate in multi-ethnic diabetic populations: the Family Investigation of Nephropathy and Diabetes (FIND).

Jeffrey R Schelling1, Hanna E Abboud, Susanne B Nicholas, Madeleine V Pahl, John R Sedor, Sharon G Adler, Nedal H Arar, Donald W Bowden, Robert C Elston, Barry I Freedman, Katrina A B Goddard, Xiuqing Guo, Robert L Hanson, Eli Ipp, Sudha K Iyengar, Gyungah Jun, W H Linda Kao, Balakuntalam S Kasinath, Paul L Kimmel, Michael J Klag, William C Knowler, Robert G Nelson, Rulan S Parekh, Shannon R Quade, Stephen S Rich, Mohammed F Saad, Marina Scavini, Michael W Smith, Kent Taylor, Cheryl A Winkler, Philip G Zager, Vallabh O Shah.   

Abstract

OBJECTIVE: Diabetic nephropathy, the most common cause of end-stage renal disease, aggregates in families and specific ethnic groups. Deconstructing diabetic nephropathy into intermediate, quantitative phenotypes may increase feasibility of detecting susceptibility loci by genetic screens. Glomerular filtration rate (GFR), which characterizes diabetic nephropathy, was employed as a quantitative trait in a preliminary whole-genome scan. RESEARCH DESIGN AND METHODS: Estimated GFR (eGFR) was calculated for 882 diabetic sibpairs (mean age 57 years) of African-American (25.6% of total), American Indian (8.6%), European-American (14.2%), and Mexican-American (51.6%) descent enrolled in the initial phase of the Family Investigation of Nephropathy and Diabetes (FIND). A whole-genome scan was performed using 404 microsatellite markers (average spacing 9 cM) and model-free linkage analysis.
RESULTS: For all ethnicities combined, strong evidence for linkage was observed on chromosomes 1q43 (P = 3.6 x 10(-3)), 7q36.1 (P = 2.1 x 10(-4)), 8q13.3 (P = 4.6 x 10(-4)), and 18q23.3 (P = 2.7 x 10(-3)). Mexican-American families, who comprised the major ethnic subpopulation in FIND, contributed to linkage on chromosomes 1q43, 2p13.3, 7q36.1, 8q13.3, and 18q23.3, whereas African-American and American-Indian families displayed linkage peaks on chromosomes 11p15.1 and 15q22.3, respectively.
CONCLUSIONS: We have demonstrated multiple chromosomal regions linked to eGFR in a multi-ethnic collection of families ascertained by a proband with diabetic nephropathy. Identification of genetic variants within these loci that are responsible for the linkage signals could lead to predictive tests or novel therapies for subsets of patients at risk for diabetic nephropathy.

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Year:  2007        PMID: 18003762     DOI: 10.2337/db07-0313

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


  49 in total

1.  Successes achieved and challenges ahead in translating biomarkers into clinical applications.

Authors:  Greg Tesch; Shashi Amur; John T Schousboe; Jeffrey N Siegel; Lawrence J Lesko; Jane P F Bai
Journal:  AAPS J       Date:  2010-03-16       Impact factor: 4.009

2.  A susceptibility gene for kidney disease in an obese mouse model of type II diabetes maps to chromosome 8.

Authors:  Streamson Chua; Yifu Li; Shun Mei Liu; Ruijie Liu; Ka Tak Chan; Jeremiah Martino; Zongyu Zheng; Katalin Susztak; Vivette D D'Agati; Ali G Gharavi
Journal:  Kidney Int       Date:  2010-06-02       Impact factor: 10.612

3.  Heritability of measures of kidney disease among Zuni Indians: the Zuni Kidney Project.

Authors:  Jean W MacCluer; Marina Scavini; Vallabh O Shah; Shelley A Cole; Sandra L Laston; V Saroja Voruganti; Susan S Paine; Alfred J Eaton; Anthony G Comuzzie; Francesca Tentori; Dorothy R Pathak; Arlene Bobelu; Jeanette Bobelu; Donica Ghahate; Mildred Waikaniwa; Philip G Zager
Journal:  Am J Kidney Dis       Date:  2010-06-19       Impact factor: 8.860

Review 4.  Insights into the genetic architecture of diabetic nephropathy.

Authors:  Nicholette D Palmer; Barry I Freedman
Journal:  Curr Diab Rep       Date:  2012-08       Impact factor: 4.810

Review 5.  Systems biology of kidney diseases.

Authors:  John Cijiang He; Peter Y Chuang; Avi Ma'ayan; Ravi Iyengar
Journal:  Kidney Int       Date:  2011-08-31       Impact factor: 10.612

Review 6.  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

7.  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 8.  Diabetic nephropathy in American Indians, with a special emphasis on the Pima Indians.

Authors:  Meda E Pavkov; William C Knowler; Robert L Hanson; Robert G Nelson
Journal:  Curr Diab Rep       Date:  2008-12       Impact factor: 4.810

9.  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

10.  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

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