Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease

Niina Sandholm(University of Helsinki), Per‐Henrik Groop(University of Helsinki), Emma Ahlqvist(Institute for Molecular Medicine Finland), Viji Nair(University of Michigan), Laura J. Smyth(Queen's University Belfast), Carol Forsblom(University of Helsinki), Eoin Brennan(Baker Heart and Diabetes Institute), Erkka Valo(University of Helsinki), Xin Sheng, Emma H. Dahlström(University of Helsinki), Hongbo Liu(Yanbian University), José C. Florez(Broad Institute), Natalie Van Zuydam(Centre for Human Genetics), Valma Harjutsalo(Research Council of Finland), Gareth J. McKay(Queen's University Belfast), Katalin Suszták(Penn Center for AIDS Research), Darrell Andrews(University College Dublin), Mark I. McCarthy(Centre for Human Genetics), Amy Jayne McKnight(Queen's University Belfast), Ross Doyle(University College Dublin), Matthias Kretzler(University of Michigan), Leif Groop(Broad Institute), Rany M. Salem(Human Longevity (United States)), Helen C. Looker(National Institute of Diabetes and Digestive and Kidney Diseases), Robert G. Nelson(Joslin Diabetes Center), Alexander P. Maxwell, Catherine Godson(University College Dublin), Joel N. Hirschhorn(Broad Institute), Joanne B. Cole(Broad Institute), Damian Fermin(Michigan Medicine)
medRxiv
August 29, 2021
Cited by 4


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