Details

Autor(en) / Beteiligte

• Pulit, Sara L
• Stoneman, Charli
• Morris, Andrew P
• Wood, Andrew R
• Glastonbury, Craig A
• Tyrrell, Jessica
• Yengo, Loïc
• Ferreira, Teresa
• Marouli, Eirini
• Ji, Yingjie
• Yang, Jian
• Jones, Samuel
• Beaumont, Robin
• Croteau-Chonka, Damien C
• Winkler, Thomas W
• Hattersley, Andrew T
• Loos, Ruth J F
• Hirschhorn, Joel N
• Visscher, Peter M
• Frayling, Timothy M
• Yaghootkar, Hanieh
• Lindgren, Cecilia M

Titel

Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry

Ist Teil von

• Human molecular genetics, 2019-01, Vol.28 (1), p.166-174

Ort / Verlag

England: Oxford University Press

Erscheinungsjahr

2019

Link zum Volltext

Quelle

Oxford Journals 2020 Medicine

Beschreibungen/Notizen

• Abstract More than one in three adults worldwide is either overweight or obese. Epidemiological studies indicate that the location and distribution of excess fat, rather than general adiposity, are more informative for predicting risk of obesity sequelae, including cardiometabolic disease and cancer. We performed a genome-wide association study meta-analysis of body fat distribution, measured by waist-to-hip ratio (WHR) adjusted for body mass index (WHRadjBMI), and identified 463 signals in 346 loci. Heritability and variant effects were generally stronger in women than men, and we found approximately one-third of all signals to be sexually dimorphic. The 5% of individuals carrying the most WHRadjBMI-increasing alleles were 1.62 times more likely than the bottom 5% to have a WHR above the thresholds used for metabolic syndrome. These data, made publicly available, will inform the biology of body fat distribution and its relationship with disease.