Unknown

Dataset Information

0

A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes.


ABSTRACT: Identification of sequence variants robustly associated with predisposition to diabetic kidney disease (DKD) has the potential to provide insights into the pathophysiological mechanisms responsible. We conducted a genome-wide association study (GWAS) of DKD in type 2 diabetes (T2D) using eight complementary dichotomous and quantitative DKD phenotypes: the principal dichotomous analysis involved 5,717 T2D subjects, 3,345 with DKD. Promising association signals were evaluated in up to 26,827 subjects with T2D (12,710 with DKD). A combined T1D+T2D GWAS was performed using complementary data available for subjects with T1D, which, with replication samples, involved up to 40,340 subjects with diabetes (18,582 with DKD). Analysis of specific DKD phenotypes identified a novel signal near GABRR1 (rs9942471, P = 4.5 × 10-8) associated with microalbuminuria in European T2D case subjects. However, no replication of this signal was observed in Asian subjects with T2D or in the equivalent T1D analysis. There was only limited support, in this substantially enlarged analysis, for association at previously reported DKD signals, except for those at UMOD and PRKAG2, both associated with estimated glomerular filtration rate. We conclude that, despite challenges in addressing phenotypic heterogeneity, access to increased sample sizes will continue to provide more robust inference regarding risk variant discovery for DKD.

SUBMITTER: van Zuydam NR 

PROVIDER: S-EPMC6014557 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes.

van Zuydam Natalie R NR   Ahlqvist Emma E   Sandholm Niina N   Deshmukh Harshal H   Rayner N William NW   Abdalla Moustafa M   Ladenvall Claes C   Ziemek Daniel D   Fauman Eric E   Robertson Neil R NR   McKeigue Paul M PM   Valo Erkka E   Forsblom Carol C   Harjutsalo Valma V   Perna Annalisa A   Rurali Erica E   Marcovecchio M Loredana ML   Igo Robert P RP   Salem Rany M RM   Perico Norberto N   Lajer Maria M   Käräjämäki Annemari A   Imamura Minako M   Kubo Michiaki M   Takahashi Atsushi A   Sim Xueling X   Liu Jianjun J   van Dam Rob M RM   Jiang Guozhi G   Tam Claudia H T CHT   Luk Andrea O Y AOY   Lee Heung Man HM   Lim Cadmon K P CKP   Szeto Cheuk Chun CC   So Wing Yee WY   Chan Juliana C N JCN   Ang Su Fen SF   Dorajoo Rajkumar R   Wang Ling L   Clara Tan Si Hua TSH   McKnight Amy-Jayne AJ   Duffy Seamus S   Pezzolesi Marcus G MG   Marre Michel M   Gyorgy Beata B   Hadjadj Samy S   Hiraki Linda T LT   Ahluwalia Tarunveer S TS   Almgren Peter P   Schulz Christina-Alexandra CA   Orho-Melander Marju M   Linneberg Allan A   Christensen Cramer C   Witte Daniel R DR   Grarup Niels N   Brandslund Ivan I   Melander Olle O   Paterson Andrew D AD   Tregouet David D   Maxwell Alexander P AP   Lim Su Chi SC   Ma Ronald C W RCW   Tai E Shyong ES   Maeda Shiro S   Lyssenko Valeriya V   Tuomi Tiinamaija T   Krolewski Andrzej S AS   Rich Stephen S SS   Hirschhorn Joel N JN   Florez Jose C JC   Dunger David D   Pedersen Oluf O   Hansen Torben T   Rossing Peter P   Remuzzi Giuseppe G   Brosnan Mary Julia MJ   Palmer Colin N A CNA   Groop Per-Henrik PH   Colhoun Helen M HM   Groop Leif C LC   McCarthy Mark I MI  

Diabetes 20180427 7


Identification of sequence variants robustly associated with predisposition to diabetic kidney disease (DKD) has the potential to provide insights into the pathophysiological mechanisms responsible. We conducted a genome-wide association study (GWAS) of DKD in type 2 diabetes (T2D) using eight complementary dichotomous and quantitative DKD phenotypes: the principal dichotomous analysis involved 5,717 T2D subjects, 3,345 with DKD. Promising association signals were evaluated in up to 26,827 subje  ...[more]

Similar Datasets

2023-05-10 | GSE230652 | GEO
| S-EPMC2911071 | biostudies-literature
| S-EPMC6521376 | biostudies-literature
| S-EPMC6779358 | biostudies-literature
| S-EPMC2682673 | biostudies-literature
| S-EPMC8448992 | biostudies-literature
| PRJNA962075 | ENA
| S-EPMC6615525 | biostudies-literature
| S-EPMC4549309 | biostudies-literature
| S-EPMC6560001 | biostudies-literature