4.5 Article

Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals

期刊

HUMAN MOLECULAR GENETICS
卷 24, 期 12, 页码 3582-3594

出版社

OXFORD UNIV PRESS
DOI: 10.1093/hmg/ddv097

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资金

  1. Gates Cambridge Trust
  2. Canadian Institutes of Health Research University Industry
  3. Glaxo-SmithKline
  4. Sanofi Aventis Global
  5. Sanofi Aventis Canada
  6. McGill University
  7. Genome Quebec Innovation Centre
  8. Heart and Stroke Foundation of Canada
  9. Canadian Institutes of Health Research
  10. Heart and Stroke Foundation of Ontario
  11. Genome Canada through Ontario Genomics Institute
  12. Aventis
  13. National Institute of Health [DK072488, DK088231]
  14. National Heart, Lung, and Blood Institute, National Institutes of Health [U01 HL076419, U01 HL65899, P01 HL083069, T32 HL07427]
  15. Swedish Research Council
  16. Swedish Heart-Lung Foundation
  17. Swedish Diabetes Association
  18. Novo Nordisk
  19. Federal Ministry of Education and Research (BMBF), Germany [FKZ: 01EO1002]
  20. Danish Council for Independent Research [DFF-1333-00124]
  21. British Heart Foundation [RG/08/014/24067] Funding Source: researchfish
  22. Cancer Research UK [14136] Funding Source: researchfish
  23. Medical Research Council [MC_UU_12011/1, U1475000001, G1000143, U1475000002, MR/L003120/1, G0401527, MC_UU_12011/2, MC_UP_A620_1014, MC_U147585827, MC_UP_A620_1015, MC_UU_12015/1, MC_U106179471] Funding Source: researchfish
  24. National Institute for Health Research [NF-SI-0512-10165, NF-SI-0512-10114, NF-SI-0508-10082, NF-SI-0513-10085, NF-SI-0512-10135] Funding Source: researchfish
  25. MRC [MC_UU_12011/2, MR/L003120/1, MC_UP_A620_1015, MC_U147585827, MC_UU_12015/1] Funding Source: UKRI

向作者/读者索取更多资源

Polymorphisms rs6232 and rs6234/rs6235 in PCSK1 have been associated with extreme obesity [e.g. body mass index (BMI) a parts per thousand yen 40 kg/m(2)], but their contribution to common obesity (BMI a parts per thousand yen 30 kg/m(2)) and BMI variation in a multi-ethnic context is unclear. To fill this gap, we collected phenotypic and genetic data in up to 331 175 individuals from diverse ethnic groups. This process involved a systematic review of the literature in PubMed, Web of Science, Embase and the NIH GWAS catalog complemented by data extraction from pre-existing GWAS or custom-arrays in consortia and single studies. We employed recently developed global meta-analytic random-effects methods to calculate summary odds ratios (OR) and 95% confidence intervals (CIs) or beta estimates and standard errors (SE) for the obesity status and BMI analyses, respectively. Significant associations were found with binary obesity status for rs6232 (OR = 1.15, 95% CI 1.06-1.24, P = 6.08 x 10(-6)) and rs6234/rs6235 (OR = 1.07, 95% CI 1.04-1.10, P = 3.00 x 10(-7)). Similarly, significant associations were found with continuous BMI for rs6232 (beta = 0.03, 95% CI 0.00-0.07; P = 0.047) and rs6234/rs6235 (beta = 0.02, 95% CI 0.00-0.03; P = 5.57 x 10(-4)). Ethnicity, age and study ascertainment significantly modulated the association of PCSK1 polymorphisms with obesity. In summary, we demonstrate evidence that common gene variation in PCSK1 contributes to BMI variation and susceptibility to common obesity in the largest known meta-analysis published to date in genetic epidemiology.

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