Genetics and Genomics Commons^™

Type 2 Diabetes Modifies The Association Of Cad Genomic Risk Variants With Subclinical Atherosclerosis, Natalie R Hasbani, Kenneth E Westerman, Soo Heon Kwak, Han Chen, Xihao Li, Daniel Di Corpo, Jennifer Wessel, Joshua C Bis, Chloè Sarnowski, Peitao Wu, Lawrence F Bielak, Xiuqing Guo, Nancy Heard-Costa, Gregory L Kinney, Michael C Mahaney, May E Montasser, Nicholette D Palmer, Laura M Raffield, James G Terry, Lisa R Yanek, Jessica Bon, Donald W Bowden, Jennifer A Brody, Ravindranath Duggirala, David R Jacobs, Rita R Kalyani, Leslie A Lange, Braxton D Mitchell, Jennifer A Smith, Kent D Taylor, April P Carson, Joanne E Curran, Myriam Fornage, Barry I Freedman, Stacey Gabriel, Richard A Gibbs, Namrata Gupta, Sharon L R Kardia, Brian G Kral, Zeineen Momin, Anne B Newman, Wendy S Post, Karine A Viaud-Martinez, Kendra A Young, Lewis C Becker, Alain G Bertoni, John Blangero, John J Carr, Katherine Pratte, Bruce M Psaty, Stephen S Rich, Joseph C Wu, Rajeev Malhotra, Patricia A Peyser, Alanna C Morrison, Ramachandran S Vasan, Xihong Lin, Jerome I Rotter, James B Meigs, Alisa K Manning, Paul S De Vries

Journal Articles

BACKGROUND: Individuals with type 2 diabetes (T2D) have an increased risk of coronary artery disease (CAD), but questions remain about the underlying pathology. Identifying which CAD loci are modified by T2D in the development of subclinical atherosclerosis (coronary artery calcification [CAC], carotid intima-media thickness, or carotid plaque) may improve our understanding of the mechanisms leading to the increased CAD in T2D.

METHODS: We compared the common and rare variant associations of known CAD loci from the literature on CAC, carotid intima-media thickness, and carotid plaque in up to 29 670 participants, including up to 24 157 normoglycemic controls and 5513 …

Multi-Tissue Epigenetic Analysis Identifies Distinct Associations Underlying Insulin Resistance And Alzheimer's Disease At Cpt1a Locus, Chloé Sarnowski, Tianxiao Huan, Yiyi Ma, Roby Joehanes, Alexa Beiser, Charles S Decarli, Nancy L Heard-Costa, Daniel Levy, Honghuang Lin, Ching-Ti Liu, Chunyu Liu, James B Meigs, Claudia L Satizabal, Jose C Florez, Marie-France Hivert, Josée Dupuis, Philip L De Jager, David A Bennett, Sudha Seshadri, Alanna C Morrison

Journal Articles

BACKGROUND: Insulin resistance (IR) is a major risk factor for Alzheimer's disease (AD) dementia. The mechanisms by which IR predisposes to AD are not well-understood. Epigenetic studies may help identify molecular signatures of IR associated with AD, thus improving our understanding of the biological and regulatory mechanisms linking IR and AD.

METHODS: We conducted an epigenome-wide association study of IR, quantified using the homeostatic model assessment of IR (HOMA-IR) and adjusted for body mass index, in 3,167 participants from the Framingham Heart Study (FHS) without type 2 diabetes at the time of blood draw used for methylation measurement. We identified …

Genome-Wide Association Study And Functional Characterization Identifies Candidate Genes For Insulin-Stimulated Glucose Uptake, Alice Williamson, Dougall M Norris, Xianyong Yin, K Alaine Broadaway, Anne H Moxley, Swarooparani Vadlamudi, Emma P Wilson, Anne U Jackson, Vasudha Ahuja, Mette K Andersen, Zorayr Arzumanyan, Lori L Bonnycastle, Stefan R Bornstein, Maxi P Bretschneider, Thomas A Buchanan, Yi-Cheng Chang, Lee-Ming Chuang, Ren-Hua Chung, Tine D Clausen, Peter Damm, Graciela E Delgado, Vanessa D De Mello, Josée Dupuis, Om P Dwivedi, Michael R Erdos, Lilian Fernandes Silva, Timothy M Frayling, Christian Gieger, Mark O Goodarzi, Xiuqing Guo, Stefan Gustafsson, Liisa Hakaste, Ulf Hammar, Gad Hatem, Sandra Herrmann, Kurt Højlund, Katrin Horn, Willa A Hsueh, Yi-Jen Hung, Chii-Min Hwu, Anna Jonsson, Line L Kårhus, Marcus E Kleber, Peter Kovacs, Timo A Lakka, Marie Lauzon, I-Te Lee, Cecilia M Lindgren, Jaana Lindström, Allan Linneberg, Ching-Ti Liu, Jian'an Luan, Dina Mansour Aly, Elisabeth Mathiesen, Angela P Moissl, Andrew P Morris, Narisu Narisu, Nikolaos Perakakis, Annette Peters, Rashmi B Prasad, Roman N Rodionov, Kathryn Roll, Carsten F Rundsten, Chloé Sarnowski, Kai Savonen, Markus Scholz, Sapna Sharma, Sara E Stinson, Sufyan Suleman, Jingyi Tan, Kent D Taylor, Matti Uusitupa, Dorte Vistisen, Daniel R Witte, Romy Walther, Peitao Wu, Anny H Xiang, Björn Zethelius, Emma Ahlqvist, Richard N Bergman, Yii-Der Ida Chen, Francis S Collins, Tove Fall, Jose C Florez, Andreas Fritsche, Harald Grallert, Leif Groop, Torben Hansen, Heikki A Koistinen, Pirjo Komulainen, Markku Laakso, Lars Lind, Markus Loeffler, Winfried März, James B Meigs, Leslie J Raffel, Rainer Rauramaa, Jerome I Rotter, Peter E H Schwarz, Michael Stumvoll, Johan Sundström, Anke Tönjes, Tiinamaija Tuomi, Jaakko Tuomilehto, Robert Wagner, Inês Barroso, Mark Walker, Niels Grarup, Michael Boehnke, Nicholas J Wareham, Karen L Mohlke, Eleanor Wheeler, Stephen O'Rahilly, Daniel J Fazakerley, Claudia Langenberg

Journal Articles

Distinct tissue-specific mechanisms mediate insulin action in fasting and postprandial states. Previous genetic studies have largely focused on insulin resistance in the fasting state, where hepatic insulin action dominates. Here we studied genetic variants influencing insulin levels measured 2 h after a glucose challenge in >55,000 participants from three ancestry groups. We identified ten new loci (P < 5 × 10-8) not previously associated with postchallenge insulin resistance, eight of which were shown to share their genetic architecture with type 2 diabetes in colocalization analyses. We investigated candidate genes at a subset of associated loci in cultured cells and identified nine candidate genes newly implicated in the expression or trafficking of GLUT4, the key glucose transporter in postprandial glucose uptake in muscle and fat. By focusing on postprandial insulin resistance, we highlighted the mechanisms of action at type 2 diabetes loci that are not adequately captured by studies of fasting glycemic traits.

Genetic Effect On Body Mass Index And Cardiovascular Disease Across Generations, Chloé Sarnowski, Matthew P Conomos, Ramachandran S Vasan, James B Meigs, Josée Dupuis, Ching-Ti Liu, Aaron Leong

Journal Articles

BACKGROUND: Whether genetics contribute to the rising prevalence of obesity or its cardiovascular consequences in today's obesogenic environment remains unclear. We sought to determine whether the effects of a higher aggregate genetic burden of obesity risk on body mass index (BMI) or cardiovascular disease (CVD) differed by birth year.

METHODS: We split the FHS (Framingham Heart Study) into 4 equally sized birth cohorts (birth year before 1932, 1932 to 1946, 1947 to 1959, and after 1960). We modeled a genetic predisposition to obesity using an additive genetic risk score (GRS) of 941 BMI-associated variants and tested for GRS-birth year interaction …