作者
John C Chambers, Marie Loh, Benjamin Lehne, Alexander Drong, Jennifer Kriebel, Valeria Motta, Simone Wahl, Hannah R Elliott, Federica Rota, William R Scott, Weihua Zhang, Sian-Tsung Tan, Gianluca Campanella, Marc Chadeau-Hyam, Loic Yengo, Rebecca C Richmond, Martyna Adamowicz-Brice, Uzma Afzal, Kiymet Bozaoglu, Zuan Yu Mok, Hong Kiat Ng, François Pattou, Holger Prokisch, Michelle Ann Rozario, Letizia Tarantini, James Abbott, Mika Ala-Korpela, Benedetta Albetti, Ole Ammerpohl, Pier Alberto Bertazzi, Christine Blancher, Robert Caiazzo, John Danesh, Tom R Gaunt, Simon de Lusignan, Christian Gieger, Thomas Illig, Sujeet Jha, Simon Jones, Jeremy Jowett, Antti J Kangas, Anuradhani Kasturiratne, Norihiro Kato, Navaratnam Kotea, Sudhir Kowlessur, Janne Pitkäniemi, Prakash Punjabi, Danish Saleheen, Clemens Schafmayer, Pasi Soininen, E-Shyong Tai, Barbara Thorand, Jaakko Tuomilehto, Ananda Rajitha Wickremasinghe, Soterios A Kyrtopoulos, Timothy J Aitman, Christian Herder, Jochen Hampe, Stéphane Cauchi, Caroline L Relton, Philippe Froguel, Richie Soong, Paolo Vineis, Marjo-Riitta Jarvelin, James Scott, Harald Grallert, Valentina Bollati, Paul Elliott, Mark I McCarthy, Jaspal S Kooner
发表日期
2015/7/1
期刊
The lancet Diabetes & endocrinology
卷号
3
期号
7
页码范围
526-534
出版商
Elsevier
简介
Background
Indian Asians, who make up a quarter of the world's population, are at high risk of developing type 2 diabetes. We investigated whether DNA methylation is associated with future type 2 diabetes incidence in Indian Asians and whether differences in methylation patterns between Indian Asians and Europeans are associated with, and could be used to predict, differences in the magnitude of risk of developing type 2 diabetes.
Methods
We did a nested case-control study of DNA methylation in Indian Asians and Europeans with incident type 2 diabetes who were identified from the 8-year follow-up of 25 372 participants in the London Life Sciences Prospective Population (LOLIPOP) study. Patients were recruited between May 1, 2002, and Sept 12, 2008. We did epigenome-wide association analysis using samples from Indian Asians with incident type 2 diabetes and age-matched and sex-matched Indian …
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