M
Michael Boehnke
Researcher at University of Michigan
Publications - 540
Citations - 155551
Michael Boehnke is an academic researcher from University of Michigan. The author has contributed to research in topics: Genome-wide association study & Type 2 diabetes. The author has an hindex of 152, co-authored 511 publications receiving 136681 citations. Previous affiliations of Michael Boehnke include SUNY Downstate Medical Center & Norwegian University of Science and Technology.
Papers
More filters
Journal ArticleDOI
Genetic Regulation of Adipose Gene Expression and Cardio-Metabolic Traits
Mete Civelek,Ying Wu,Calvin Pan,Chelsea K. Raulerson,Arthur Ko,Aiqing He,Charles Tilford,Niyas K. Saleem,Alena Stančáková,Laura J. Scott,Christian Fuchsberger,Heather M. Stringham,Anne U. Jackson,Narisu Narisu,Peter S. Chines,Kerrin S. Small,Johanna Kuusisto,Brian W. Parks,Päivi Pajukanta,Todd G. Kirchgessner,Francis S. Collins,Peter S. Gargalovic,Michael Boehnke,Markku Laakso,Karen L. Mohlke,Aldons J. Lusis +25 more
TL;DR: Trans-eQTL signals confirmed and extended the previously reported KLF14-mediated network to 55 target genes, validated the CIITA regulation of class II MHC genes, and identified ZNF800 as a candidate master regulator.
Posted ContentDOI
Identification of type 2 diabetes loci in 433,540 East Asian individuals
Cassandra N. Spracklen,Momoko Horikoshi,Young Jin Kim,Kuang Lin,Fiona Bragg,Sanghoon Moon,Ken Suzuki,Claudia H. T. Tam,Yasuharu Tabara,Soo Heon Kwak,Fumihiko Takeuchi,Jirong Long,Victor Jun Yu Lim,Jin-Fang Chai,Chien-Hsiun Chen,Masahiro Nakatochi,Jie Yao,Hyeok Sun Choi,Apoorva K Iyengar,Hannah J Perrin,Sarah M Brotman,Martijn van de Bunt,Anna L. Gloyn,Jennifer E. Below,Michael Boehnke,Donald W. Bowden,John C. Chambers,Anubha Mahajan,Mark I. McCarthy,Maggie C.Y. Ng,Lauren E. Petty,Weihua Zhang,Andrew P. Morris,Linda S. Adair,Zheng Bian,Juliana C.N. Chan,Li-Ching Chang,Miao-Li Chee,Yii-Der Ida Chen,Yuan-Tsong Chen,Zhengming Chen,Lee-Ming Chuang,Shufa Du,Penny Gordon-Larsen,Myron D. Gross,Xiuqing Guo,Yu Guo,Sohee Han,Annie-Green Howard,Wei Huang,Yi-Jen Hung,Mi Yeong Hwang,Chii-Min Hwu,Sahoko Ichihara,Masato Isono,Hye-Mi Jang,Guozhi Jiang,Jost B. Jonas,Yoichiro Kamatani,Tomohiro Katsuya,Takahisa Kawaguchi,Chiea Chuen Khor,Katsuhiko Kohara,Myung-Shik Lee,Nanette R. Lee,Liming Li,Jianjun Liu,Andrea O.Y. Luk,Jun Lv,Yukinori Okada,Mark A Pereira,Charumathi Sabanayagam,Shi Jinxiu,Dong Mun Shin,Wing-Yee So,Atsushi Takahashi,Brian Tomlinson,Fuu Jen Tsai,Rob M. van Dam,Yong-Bing Xiang,Ken Yamamoto,Toshimasa Yamauchi,Kyungheon Yoon,Canqing Yu,Jian-Min Yuan,Liang Zhang,Wei Zheng,Michiya Igase,Yoon Shin Cho,Jerome I. Rotter,Ya Xing Wang,Wayne Huey-Herng Sheu,Wayne Huey-Herng Sheu,Mitsuhiro Yokota,Jer-Yuarn Wu,Ching-Yu Cheng,Tien Yin Wong,Xiao-Ou Shu,Norihiro Kato,Kyong-Soo Park,E-Shyong Tai,Fumihiko Matsuda,Woon-Puay Koh,Ronald Cw Ma,Shiro Maeda,Iona Y Millwood,Ju Young Lee,Takashi Kadowaki,Robin G. Walters,Bong-Jo Kim,Karen L. Mohlke,Xueling Sim +111 more
TL;DR: The largest meta-analysis of East Asian individuals to identify new genetic associations and provide insight into T2D pathogenesis is performed.
Journal ArticleDOI
The Peroxisome Poliferator–Activated Receptor-γ2 Pro12Ala Variant: Association With Type 2 Diabetes and Trait Differences
Julie A. Douglas,Michael R. Erdos,Richard M. Watanabe,Andi Braun,Cristy L. Johnston,Paul Oeth,Karen L. Mohlke,Timo T. Valle,Christian Ehnholm,Thomas A. Buchanan,Richard N. Bergman,Francis S. Collins,Michael Boehnke,Jaakko Tuomilehto,Jaakko Tuomilehto +14 more
TL;DR: A role for the PPAR-gamma2 Pro12Ala variant in the etiology of type 2 diabetes and the insulin resistance syndrome is supported and is associated with greater weight gain after age 20 years and lower triglyceride levels.
Journal ArticleDOI
The Power of Gene-Based Rare Variant Methods to Detect Disease-Associated Variation and Test Hypotheses About Complex Disease
Loukas Moutsianas,Vineeta Agarwala,Vineeta Agarwala,Christian Fuchsberger,Jason Flannick,Jason Flannick,Manuel A. Rivas,Kyle J. Gaulton,Patrick K. Albers,Gil McVean,Michael Boehnke,David Altshuler,Mark I. McCarthy +12 more
TL;DR: The results imply that tens of thousands of individuals, extensive functional annotation, or highly targeted hypothesis testing will be required to confidently detect or exclude rare variant signals at complex disease loci.
Journal ArticleDOI
Optimal designs for two-stage genome-wide association studies.
TL;DR: A strategy for designing cost‐effective two‐stage GWA studies is described and it is shown that the ratio of stage 2 to stage 1 per genotype cost can strongly influence both the optimal design and the genotyping cost of the study.