Literature DB >> 17189282

Genome scan of glomerular filtration rate and albuminuria: the HyperGEN study.

Joanlise M Leon1, Barry I Freedman, Michael B Miller, Kari E North, Steven C Hunt, John H Eckfeldt, Cora E Lewis, Aldi T Kraja, Luc Djoussé, Donna K Arnett.   

Abstract

BACKGROUND: Albuminuria and reduced glomerular filtration rate (GFR) are markers of renal dysfunction associated with hypertension. We performed genome-wide scans to detect loci impacting these parameters in 1251 African American (AAs) and 1129 European American (EAs) hypertensive siblings from the Hypertension Genetic Epidemiology Network study.
METHODS: GFR, estimated by the Modification of Diet in Renal Disease equation, and albuminuria, measured as albumin to creatinine ratio (ACR), were adjusted for gender, age, centre, mean blood pressure, anti-hypertensive medication class and diabetes status using SOLAR. Since albuminuria and abnormal GFR often coexist, we conducted bivariate linkage analyses to investigate the presence of pleiotropy.
RESULTS: The phenotypic correlation between ACR and GFR was not significant in EAs (r = 0.04) and significantly negative in AAs (r = -0.17). Univariate analyses of ACR showed suggestive evidence of linkage on chromosomes 8, 16 and 17 (LOD: 2-2.8) in AAs, on chromosomes 18 and 19 (LOD = 2) in EAs, and on chromosome 19 (LOD = 2.6) when combining AAs and EAs. For GFR, suggestive linkage was found on chromosomes 7, 14 and 19 (LOD: 2.2-2.9) in AAs and on chromosomes 14, 15 and 16 (LOD: 2.1-3.3) in the combined group. Also, bivariate analyses showed a LOD score of 3.4 at 133 cM on chromosome 7 in AAs.
CONCLUSIONS: Suggestive evidence for linkage to GFR and ACR was observed at many loci. The findings are consistent with previous studies. Also, indication of a pleiotropic locus was detected in chromosome 7 in AAs.

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Year:  2006        PMID: 17189282     DOI: 10.1093/ndt/gfl674

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  14 in total

1.  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

2.  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 3.  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

4.  Validated SNPs for eGFR and their associations with albuminuria.

Authors:  Jaclyn W Ellis; Ming-Huei Chen; Meredith C Foster; Ching-Ti Liu; Martin G Larson; Ian de Boer; Anna Köttgen; Afshin Parsa; Murielle Bochud; Carsten A Böger; Linda Kao; Caroline S Fox; Conall M O'Seaghdha
Journal:  Hum Mol Genet       Date:  2012-04-05       Impact factor: 6.150

5.  Maternal environment interacts with modifier genes to influence progression of nephrotic syndrome.

Authors:  Julien Ratelade; Tiphaine Aguirre Lavin; Andrea Onetti Muda; Ludivine Morisset; Géraldine Mollet; Olivia Boyer; Deborah S Chen; Anna Henger; Matthias Kretzler; Norbert Hubner; Clotilde Théry; Marie-Claire Gubler; Xavier Montagutelli; Corinne Antignac; Ernie L Esquivel
Journal:  J Am Soc Nephrol       Date:  2008-04-02       Impact factor: 10.121

6.  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

7.  Genetic contribution and associated pathophysiology in end-stage renal disease.

Authors:  Suraksha Agrawal; Ss Agarwal; Sita Naik
Journal:  Appl Clin Genet       Date:  2010-08-05

8.  The association of cell cycle checkpoint 2 variants and kidney function: findings of the Family Blood Pressure Program and the Atherosclerosis Risk In Communities study.

Authors:  Nora Franceschini; Kari E North; Donna Arnett; James S Pankow; Jay H Chung; Lisa Baird; Mark F Leppert; John H Eckfeldt; Eric Boerwinkle; C Charles Gu; Cora E Lewis; Richard H Myers; Stephen T Turner; Alan Weder; W H Linda Kao; Thomas H Mosley; Aravinda Chakravarti; Holly Kramer; Jinghui Zhang; Steven C Hunt
Journal:  Am J Hypertens       Date:  2009-03-05       Impact factor: 2.689

9.  Linkage analysis of albuminuria.

Authors:  Amy K Mottl; Suma Vupputuri; Shelley A Cole; Laura Almasy; Harald H H Göring; Vincent P Diego; Sandra Laston; Nawar Shara; Elisa T Lee; Lyle G Best; Richard R Fabsitz; Jean W MacCluer; Jason G Umans; Kari E North
Journal:  J Am Soc Nephrol       Date:  2009-04-15       Impact factor: 10.121

Review 10.  Genetic susceptibility to hypertensive renal disease.

Authors:  Peter A Doris
Journal:  Cell Mol Life Sci       Date:  2012-05-05       Impact factor: 9.261

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