Genome-Wide Scan for Estimated Glomerular Filtration Rate in Multi-Ethnic Diabetic Populations
Author(s) -
Jeffrey R. Schelling,
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,
Shan RE Quade,
Stephen S. Rich,
Mohammed Saad,
Marina Scavini,
Michael W. Smith,
Kent D. Taylor,
Cheryl A. Winkler,
Philip G. Zager,
Vallabh O. Shah
Publication year - 2007
Publication title -
diabetes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.219
H-Index - 330
eISSN - 1939-327X
pISSN - 0012-1797
DOI - 10.2337/db07-0313
Subject(s) - diabetic nephropathy , linkage (software) , diabetes mellitus , renal function , genetic linkage , proband , quantitative trait locus , ethnic group , nephropathy , medicine , genome scan , microsatellite , genetics , biology , endocrinology , gene , mutation , allele , sociology , anthropology
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.
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