4.6 Article

Heavier smoking may lead to a relative increase in waist circumference: widence for causal relationship from a Mendelian iandomisation meta-analysis. The CARTA consortium

期刊

BMJ OPEN
卷 5, 期 8, 页码 -

出版社

BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2015-008808

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资金

  1. Academy of Finland [24300796, 139635, 129494, 136895, 263836, 141054]
  2. Academy of Finland (SALVE/PREVMEDSYN)
  3. MRC [G0000934]
  4. Wellcome Trust [068545/Z/02, 076113, 092731, 086684, WT 084762]
  5. National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institute of Allergy and Infectious Diseases, National Human Genome Research Institute, National Institute of Child Health and Human Development
  6. Juvenile Diabetes Research Foundation International (JDRF)
  7. Department of Health Policy Research Programme through the Public Health Research Consortium (PHRC)
  8. Department of Health's National Institute for Health Research (NIHR) ('Biomedical Research Centres')
  9. UK Clinical Research Collaboration
  10. Medical Research Council [MR/J01351X/1, G0800612, G0802736, MC_UU_12013/1, MC_UU_12013/6, MC_UU_12019/1]
  11. British Heart Foundation (BHF) [PG/09/022]
  12. UK Department of Health Policy Research Programme (England) [0090049]
  13. BHF [PG/07/131/24254]
  14. Health Research Council of New Zealand
  15. National Child Health Research Foundation
  16. Canterbury Medical Research Foundation
  17. New Zealand Lottery Grants Board
  18. University of Otago
  19. Carney Centre for Pharmacogenomics
  20. James Hume Bequest Fund
  21. US NIH [MH077874]
  22. NIDA grant A developmental model of gene-environment interplay in SUDs [R01DA024413]
  23. Swiss National Science Foundation [105993, 118308, 139468, 122661]
  24. GlaxoSmithKline
  25. Faculty of Biology and Medicine of the University of Lausanne
  26. Danish Heart Foundation
  27. Danish Medical Research Council
  28. Danish Hospital Foundation of Medical Research
  29. region of Copenhagen
  30. Faroe Islands and Greenland
  31. Danish Health Insurance Foundation
  32. Foundation of E. & M. Wedel-Wedellsborg
  33. Landsforeningen til Bekaempelse af Kredslobssygdomme
  34. Augustinus Foundation
  35. Becket Foundation
  36. Foundation of senior registrar J. L. Boserup
  37. South West NHS Research and Development, Exeter NHS Research and Development
  38. Darlington Trust
  39. Peninsula National Institute of Health Research (NIHR) Clinical Research Facility at the University of Exeter
  40. National Institute on Aging in the US [R01 AG017644, R01AG176440651]
  41. UK Government
  42. Department for Communities and Local Government
  43. Department for Transport
  44. Department for Work and Pensions
  45. Department of Health, HM Revenue and Customs and Office for National Statistics
  46. Academy of Finland Center of Excellence in Complex Disease Genetics [213506, 129680]
  47. Sigrid Juselius Foundation
  48. ENGAGE European Network for Genetic and Genomic Epidemiology [201413]
  49. Medical Research Fund
  50. Danish Diabetes Association
  51. NOVO Foundation
  52. Chief Scientist Office of the Scottish Government Health Directorates [CZD/16/6]
  53. Scottish Funding Council [HR03006]
  54. UK Medical Research Council (MRC)
  55. Danish National Research Foundation
  56. Pharmacy Foundation
  57. Egmont Foundation
  58. March of Dimes Birth Defects Foundation
  59. Health Foundation
  60. Gene Diet Interactions in Obesity (GENDINOB)
  61. MRC Population Health Scientist Fellowship [MR/J012165/1]
  62. Academy of Finland
  63. Finnish Diabetes Research Society
  64. Samfundet Folkhalsan
  65. Novo Nordisk Foundation
  66. Finska Lakaresallskapet
  67. Signe and Ane Gyllenberg Foundation
  68. University of Helsinki
  69. Ministry of Education
  70. Ahokas Foundation
  71. Emil Aaltonen Foundation
  72. Health Insurance Foundation [2010 B 131]
  73. NHS Research and Development Cardiovascular Research Programme
  74. Academy of Finland (Center of Excellence in Complex Disease Genetics and SALVE) [24300796, 104781, 120315, 129269, 1114194, 141042]
  75. University Hospital Oulu, Biocenter
  76. University of Oulu, Finland [75617]
  77. NHLBI through the STAMPEED program [5R01HL087679-02, 1RL1MH083268-01]
  78. NIH/NIMH [5R01MH63706:02]
  79. European Commission (EURO-BLCS) [QLG1-CT-2000-01643]
  80. ENGAGE project [HEALTH-F4-2007-201413]
  81. EU FP7 [EurHEALTHAgeing-277849]
  82. Medical Research Council, UK [G0500539, G0600705, G1002319]
  83. MRC, Centenary Early Career Award
  84. Biocentrum Helsinki
  85. European Research Council (ERC) [284167]
  86. Netherlands Organization for Scientific Research (NWO: MagW/ZonMW) [904-61-090, 985-10-002, 904-61-193, 480-04-004, 400-05-717, Addiction-31160008 Middelgroot-911-09-032, Spinozapremie 56-464-14192]
  87. BBRMI-NL (Biobanking and Biomolecular Resources Research Infrastructure)
  88. VU University's Institutes for Health and Care Research and Neuroscience Campus Amsterdam
  89. Bristol-Myers Squibb, USA
  90. European Union [HEALTH-F2-2009-223004]
  91. Netherlands Consortium for Healthy Ageing [NGI: 05060810]
  92. [U01 DK062418]
  93. ESRC [ES/J023299/1, ES/K005774/1] Funding Source: UKRI
  94. MRC [MR/K023233/1, MR/N01104X/1, G0800612, MR/K013351/1, MC_UU_12013/3, MR/J012165/1, MC_UU_12013/6, G0802736, G1001799, MC_UU_12013/5, G0600705, MC_UU_12019/1, MC_UP_0801/1, MC_UU_12013/1, MR/J01351X/1, G1002319, MC_PC_U127561128] Funding Source: UKRI
  95. British Heart Foundation [RG/13/16/30528, RG/08/013/25942, PG/13/66/30442] Funding Source: researchfish
  96. Economic and Social Research Council [ES/K005774/1, ES/J023299/1, ES/G007489/1] Funding Source: researchfish
  97. Lundbeck Foundation [R165-2013-15410] Funding Source: researchfish
  98. Medical Research Council [MR/J012165/1, MR/K023195/1B, G1001799, MC_UP_0801/1, MR/K013351/1, MR/K023195/1, MC_UU_12013/3, MC_UU_12013/5, G1002319, MR/N01104X/1, MR/K023233/1, G0000934, G0600705, MC_PC_U127561128] Funding Source: researchfish
  99. Chief Scientist Office [CZD/16/6/4] Funding Source: researchfish
  100. AGENCY FOR HEALTHCARE RESEARCH AND QUALITY [R01HS006516] Funding Source: NIH RePORTER
  101. NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES [UL1TR001425] Funding Source: NIH RePORTER
  102. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [R01HL087679, R01HL036310] Funding Source: NIH RePORTER
  103. NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [U01DK062418] Funding Source: NIH RePORTER
  104. NATIONAL INSTITUTE OF MENTAL HEALTH [RL1MH083268, R01MH077874, R01MH063706] Funding Source: NIH RePORTER
  105. NATIONAL INSTITUTE ON AGING [R01AG017644, R37AG013196, R01AG013196] Funding Source: NIH RePORTER
  106. NATIONAL INSTITUTE ON DRUG ABUSE [R01DA024413] Funding Source: NIH RePORTER

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Objectives: To investigate, using a Mendelian randomisation approach, whether heavier smoking is associated with a range of regional adiposity phenotypes, in particular those related to abdominal adiposity. Design: Mendelian randomisation meta-analyses using a genetic variant (rs16969968/rs1051730 in the CHRNA5-CHRNA3-CHRNB4 gene region) as a proxy for smoking heaviness, of the associations of smoking heaviness with a range of adiposity phenotypes. Participants: 148 731 current, former and neversmokers of European ancestry aged >= 16 years from 29 studies in the consortium for Causal Analysis Research in Tobacco and Alcohol (CARTA). Primary outcome measures: Waist and hip circumferences, and waist-hip ratio. Results: The data included up to 66 809 never-smokers, 43 009 former smokers and 38 913 current daily cigarette smokers. Among current smokers, for each extra minor allele, the geometric mean was lower for waist circumference by -0.40% (95% Cl -0.57% to - 0.22%), with effects on hip circumference, waist-hip ratio and body mass index (BMI) being -0.31% (95% Cl - 0.42% to -0.19), -0.08% (-0.19% to 0.03%) and - 0.74% (-0.96% to -0.51%), respectively. In contrast, among never-smokers, these effects were higher by 0.23% (0.09% to 0.36%), 0.17% (0.08% to 0.26%), 0.07% (-0.01% to 0.15%) and 0.35% (0.18% to 0.52%), respectively. When adjusting the three central adiposity measures for BMI, the effects among current smokers changed direction and were higher by 0.14% (0.05% to 0.22%) for waist circumference, 0.02% (-0.05% to 0.08%) for hip circumference and 0.10% (0.02% to 0.19%) for waist-hip ratio, for each extra minor allele. Conclusions: For a given BMI, a gene variant associated with increased cigarette consumption was associated with increased waist circumference. Smoking in an effort to control weight may lead to accumulation of central adiposity.

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