Genome‐Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent. Issue 3 (11th December 2017)

• Record Type: Journal Article
• Authors: Smith, Caren E.; Follis, Jack L.; Dashti, Hassan S.; Tanaka, Toshiko; Graff, Mariaelisa; Fretts, Amanda M.; Kilpeläinen, Tuomas O.; Wojczynski, Mary K.; Richardson, Kris; Nalls, Mike A.; Schulz, Christina‐Alexandra; Liu, Yongmei; Frazier‐Wood, Alexis C.; van Eekelen, Esther; Wang, Carol; de Vries, Paul S.; Mikkilä, Vera; Rohde, Rebecca; Psaty, Bruce M.; Hansen, Torben; Feitosa, Mary F.; Lai, Chao‐Qiang; Houston, Denise K.; Ferruci, Luigi; Ericson, Ulrika; Wang, Zhe; de Mutsert, Renée; Oddy, Wendy H.; de Jonge, Ester A. L.; Seppälä, Ilkka; Justice, Anne E.; Lemaitre, Rozenn N.; Sørensen, Thorkild I. A.; Province, Michael A.; Parnell, Laurence D.; Garcia, Melissa E.; Bandinelli, Stefania; Orho‐Melander, Marju; Rich, Stephen S.; Rosendaal, Frits R.; Pennell, Craig E.; Kiefte‐de Jong, Jessica C.; Kähönen, Mika; Young, Kristin L.; Pedersen, Oluf; Aslibekyan, Stella; Rotter, Jerome I.; Mook‐Kanamori, Dennis O.; Zillikens, M. Carola; Raitakari, Olli T.; North, Kari E.; Overvad, Kim; Arnett, Donna K.; Hofman, Albert; Lehtimäki, Terho; Tjønneland, Anne; Uitterlinden, André G.; Rivadeneira, Fernando; Franco, Oscar H.; German, J. Bruce; Siscovick, David S.; Cupples, L. Adrienne; Ordovás, José M.;
• Is Part Of: Molecular nutrition & food research. Volume 62:Issue 3(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-12-11
• Subjects: body mass index -- CHARGE consortium -- dairy intake -- genome‐wide interaction study -- meta‐analysis; Food -- Biotechnology -- Periodicals; Food -- Microbiology -- Periodicals; Nutrition -- Periodicals; Food -- Toxicology -- Periodicals; Nutrition -- Periodicals; Food Microbiology -- Periodicals; Food Technology -- Periodicals; Molecular Biology -- Periodicals; 664.0705
• DOI: 10.1002/mnfr.201700347
• Languages: English
• ISSNs: 1613-4125

Abstract

Abstract : 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, AC098847.1 ‐rs1791355) were evaluated meta‐analytically for replication of interaction in up to 17 675 individuals. Variant rs9635058 (128 kb 3' of LINC00333 ) was replicated ( p ‐interaction = 0.004). In the discovery cohorts, rs9635058 interacted with dairy ( p ‐interaction = 7.36 × 10 −8) such that each serving of low‐fat dairy was associated with 0.225 kg m −2 lower BMI per each additional copy of the effect allele (A). A second genetic variant ( ACTA2 ‐rs1388) approached interaction replication significance for low‐fat dairy exposure. Conclusion: Body weight responses to dairy intake may be modified by genotype, in that greater dairy intake may protect a genetic subgroup from higher body weight. Abstract : Dairy products are important foods across the globe, and are recommended in several healthy diets. The extent to which dairy foods influence body weight has been a longstanding and still unresolved question. Genetic variability may contribute to differences in metabolic responses to specific foods. Genome‐wide interaction studies have the potential to uncover new genetic sites that alter responses to dairy intake, with variable impact on individual health.