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Genome-Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent.
Citation | “Genome-Wide Interactions With Dairy Intake For Body Mass Index In Adults Of European Descent.”. Molecular Nutrition & Food Research. . |
Center | UCSD-UCLA |
Author | 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, Anne E Justice, Rozenn N Lemaitre, Thorkild I A Sørensen, Michael A Province, Laurence D Parnell, Melissa E Garcia, Stefania Bandinelli, Marju Orho-Melander, Stephen S Rich, Frits R Rosendaal, Craig E Pennell, Jessica C Kiefte- de Jong, Mika Kähönen, Kristin L Young, Oluf Pedersen, Stella Aslibekyan, Jerome I Rotter, Dennis O Mook-Kanamori, Carola Zillikens, Olli T Raitakari, Kari E North, Kim Overvad, Donna K Arnett, Albert Hofman, Terho Lehtimäki, Anne Tjønneland, André G Uitterlinden, Fernando Rivadeneira, Oscar H Franco, Bruce German, David S Siscovick, Adrienne Cupples, José M Ordovás |
Keywords | CHARGE consortium, Body mass index, dairy intake, genome-wide interaction study, META-ANALYSIS |
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 , 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 such that each serving of low-fat dairy was associated with 0.225 kg m 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. |
Year of Publication |
2018
|
Journal |
Molecular nutrition & food research
|
Volume |
62
|
Issue |
3
|
Date Published |
12/2018
|
ISSN Number |
1613-4133
|
DOI |
10.1002/mnfr.201700347
|
Alternate Journal |
Mol Nutr Food Res
|
PMID |
28941034
|
PMCID |
PMC5803424
|
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