Medicine and Health Sciences Commons^™

Genome-Wide Association Meta-Analysis Of Circulating Odd-Numbered Chain Saturated Fatty Acids: Results From The Charge Consortium, Marcia C. De Oliveira Otto, Rozenn N. Lemaitre, Qi Sun, Irena B. King, Jason H. Y. Wu, Ani Manichaikul, Stephen S. Rich, Michael Y. Tsai, Y. D. Chen, Myriam Fornage, Guan Weihua, Stella Aslibekyan, Marguerite R. Irvin, Edmond K. Kabagambe, Donna K. Arnett, Majken K. Jensen, Barbara Mcknight, Bruce M. Psaty, Lyn M. Steffen, Caren E. Smith, Ulf Risérus, Lars Lind, Frank B. Hu, Eric B. Rimm, David S. Siscovick, Dariush Mozaffarian

Epidemiology and Environmental Health Faculty Publications

Background

Odd-numbered chain saturated fatty acids (OCSFA) have been associated with potential health benefits. Although some OCSFA (e.g., C15:0 and C17:0) are found in meats and dairy products, sources and metabolism of C19:0 and C23:0 are relatively unknown, and the influence of non-dietary determinants, including genetic factors, on circulating levels of OCSFA is not established.

Objective

To elucidate the biological processes that influence circulating levels of OCSFA by investigating associations between genetic variation and OCSFA.

Design

We performed a meta-analysis of genome-wide association studies (GWAS) of plasma phospholipid/erythrocyte levels of C15:0, C17:0, C19:0, and C23:0 among 11,494 individuals of European …

Genome-Wide Interactions With Dairy Intake For Body Mass Index In Adults Of European Descent, Caren E. Smith, Jack L. Follis, Hassan S. Dashti, Toshiko Tanaka, Mariaelisa Graff, Amanda M. Fretts, Tuomas O. Kilpeläinen, Mary K. Wojczynski, Kris Richardson, Mike A. Nalls, Christina-Alexandra Schulz, Yongmei Liu, Alexis C. Frazier-Wood, Esther Van Eekelen, Carol Wang, Paul S. De Vries, Vera Mikkilä, Rebecca Rohde, Bruce M. Psaty, Torben Hansen, Mary F. Feitosa, Chao-Qiang Lai, Denise K. Houston, Luigi Ferruci, Ulrika Ericson, Zhe Wang, Renée De Mutsert, Wendy H. Oddy, Ester A. L. De Jonge, Ilkka Seppälä, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Scope: Body weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter‐individual variability in associations between body weight and dairy consumption.

Methods and results: A genome‐wide interaction study to discover genetic variants that account for variation in BMI in the context of low‐fat, high‐fat and total dairy intake in cross‐sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta‐analyzed. Twenty‐six genetic variants reached the selected significance threshold (p‐interaction <10⁻⁷⁾, and six independent variants (LINC01512‐rs7751666, PALM2/AKAP2‐rs914359, ACTA2‐rs1388, PPP1R12A‐rs7961195, LINC00333‐rs9635058, …