作者
Rany M Salem, Jennifer N Todd, Niina Sandholm, Joanne B Cole, Wei-Min Chen, Darrell Andrews, Marcus G Pezzolesi, Paul M McKeigue, Linda T Hiraki, Chengxiang Qiu, Viji Nair, Chen Di Liao, Jing Jing Cao, Erkka Valo, Suna Onengut-Gumuscu, Adam M Smiles, Stuart J McGurnaghan, Jani K Haukka, Valma Harjutsalo, Eoin P Brennan, Natalie Van Zuydam, Emma Ahlqvist, Ross Doyle, Tarunveer S Ahluwalia, Maria Lajer, Maria F Hughes, Jihwan Park, Jan Skupien, Athina Spiliopoulou, Andrew Liu, Rajasree Menon, Carine M Boustany-Kari, Hyun M Kang, Robert G Nelson, Ronald Klein, Barbara E Klein, Kristine E Lee, Xiaoyu Gao, Michael Mauer, Silvia Maestroni, Maria Luiza Caramori, Ian H de Boer, Rachel G Miller, Jingchuan Guo, Andrew P Boright, David Tregouet, Beata Gyorgy, Janet K Snell-Bergeon, David M Maahs, Shelley B Bull, Angelo J Canty, Colin NA Palmer, Lars Stechemesser, Bernhard Paulweber, Raimund Weitgasser, Jelizaveta Sokolovska, Vita Rovīte, Valdis Pīrāgs, Edita Prakapiene, Lina Radzeviciene, Rasa Verkauskiene, Nicolae Mircea Panduru, Leif C Groop, Mark I McCarthy, Harvest F Gu, Anna Möllsten, Henrik Falhammar, Kerstin Brismar, Finian Martin, Peter Rossing, Tina Costacou, Gianpaolo Zerbini, Michel Marre, Samy Hadjadj, Amy J McKnight, Carol Forsblom, Gareth McKay, Catherine Godson, A Peter Maxwell, Matthias Kretzler, Katalin Susztak, Helen M Colhoun, Andrzej Krolewski, Andrew D Paterson, Per-Henrik Groop, Stephen S Rich, Joel N Hirschhorn, Jose C Florez, Summit Consortium, DCCT/EDIC Research Group, GENIE Consortium
发表日期
2019/10/1
期刊
Journal of the American Society of Nephrology
卷号
30
期号
10
页码范围
2000-2016
出版商
LWW
简介
Background
Although diabetic kidney disease demonstrates both familial clustering and single nucleotide polymorphism heritability, the specific genetic factors influencing risk remain largely unknown.
Methods
To identify genetic variants predisposing to diabetic kidney disease, we performed genome-wide association study (GWAS) analyses. Through collaboration with the Diabetes Nephropathy Collaborative Research Initiative, we assembled a large collection of type 1 diabetes cohorts with harmonized diabetic kidney disease phenotypes. We used a spectrum of ten diabetic kidney disease definitions based on albuminuria and renal function.
Results
Our GWAS meta-analysis included association results for up to 19,406 individuals of European descent with type 1 diabetes. We identified 16 genome-wide significant risk loci. The variant with the strongest association (rs55703767) is a common missense mutation in …
学术搜索中的文章
RM Salem, JN Todd, N Sandholm, JB Cole, WM Chen… - Journal of the American Society of Nephrology, 2019