Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Causal Associations of Adiposity and Body Fat Distribution With Coronary Heart Disease, Stroke Subtypes, and Type 2 Diabetes Mellitus

Caroline Dale, Ghazaleh Fatemifar, Tom Palmer, Jon White, David Prieto‐Merino, Delilah Zabaneh, Jorgen Engmann, Tina Shah, Andrew Wong, Helen R. Warren, Stela McLachlan, Stella Trompet, Max Moldovan, Richard Morris, Reecha Sofat, Meena Kumari, Elina Hyppönen, Barbara J. Jefferis, Tom R. Gaunt, Yoav Ben‐Shlomo, Ang Zhou, Aleksandra Gentry‐Maharaj, Andy Ryan, Renée de Mutsert, Raymond Noordam, Mark J. Caulfield, J. Wouter Jukema, Bradford B. Worrall, Patricia B. Munroe, Usha Menon, Chris Power, Diana Kuh, Debbie A. Lawlor, Steve E. Humphries, Dennis O. Mook‐Kanamori, Naveed Sattar, Mika Kivimäki, Jacqueline F. Price, George Davey Smith, Frank Dudbridge, Aroon D. Hingorani, Michael V. Holmes, Juan P. Casas

Circulation · 2017

Read source ↗ All evidence

Summary

BACKGROUND: The implications of different adiposity measures on cardiovascular disease etiology remain unclear. In this article, we quantify and contrast causal associations of central adiposity (waist-to-hip ratio adjusted for body mass index [WHRadjBMI]) and general adiposity (body mass index [BMI]) with cardiometabolic disease. METHODS: Ninety-seven independent single-nucleotide polymorphisms for BMI and 49 single-nucleotide polymorphisms for WHRadjBMI were used to conduct Mendelian randomization analyses in 14 prospective studies supplemented with coronary heart disease (CHD) data from CARDIoGRAMplusC4D (Coronary Artery Disease Genome-wide Replication and Meta-analysis [CARDIoGRAM] plus The Coronary Artery Disease [C4D] Genetics; combined total 66 842 cases), stroke from METASTROKE (12

Source type
Peer-reviewed study
DOI
10.1161/circulationaha.116.026560
Catalogue ID
BFmokjo8sc-6wsu2s
Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.