4.7 Article

A large-scale meta-analysis to refine colorectal cancer risk estimates associated with MUTYH variants

期刊

BRITISH JOURNAL OF CANCER
卷 103, 期 12, 页码 1875-1884

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/sj.bjc.6605966

关键词

colorectal cancer; base excision repair; MUTYH; carrier risk estimates; meta-analysis

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资金

  1. Cancer Research UK [C348/A3758, C348/A8896, C31250/A10107]
  2. Scottish Government Chief Scientist Office [K/OPR/2/2/D333, CZB/4/94, CZB/4/449]
  3. Medical Research Council [G0000657-53203]
  4. CORE
  5. Foundation Dr Henri Dubois-Ferriere Dinu Lipatti
  6. Regional Hospital Clinical Research Program
  7. Regional Council of Pays de la Loire
  8. Groupement des Entreprises Francaises dans la LUtte contre le Cancer
  9. Association Anne de Bretagne Genetique
  10. Ligue Regionale Contre le Cancer
  11. Swedish Cancer Society
  12. Swedish Research Council
  13. Stockholm Cancer Foundation
  14. Ministerio de Educacion y Ciencia [SAF09-7319]
  15. Spanish Networks RTICCC [RD06/0020/1050, 1051]
  16. Instituto de Salud Carlos III [FIS PI03/0114, FIS 05/1006, CIBERESP]
  17. Cancer Research UK [11021] Funding Source: researchfish
  18. Chief Scientist Office [CZB/4/449] Funding Source: researchfish
  19. Medical Research Council [MC_U127527198] Funding Source: researchfish
  20. The Francis Crick Institute
  21. Cancer Research UK [10119, 10124] Funding Source: researchfish
  22. MRC [MC_U127527198] Funding Source: UKRI

向作者/读者索取更多资源

BACKGROUND: Defective DNA repair has a causal role in hereditary colorectal cancer (CRC). Defects in the base excision repair gene MUTYH are responsible for MUTYH-associated polyposis and CRC predisposition as an autosomal recessive trait. Numerous reports have suggested MUTYH mono-allelic variants to be low penetrance risk alleles. We report a large collaborative meta-analysis to assess and refine CRC risk estimates associated with bi-allelic and mono-allelic MUTYH variants and investigate age and sex influence on risk. METHODS: MUTYH genotype data were included from 20 565 cases and 15 524 controls. Three logistic regression models were tested: a crude model; adjusted for age and sex; adjusted for age, sex and study. RESULTS: All three models produced very similar results. MUTYH bi-allelic carriers demonstrated a 28-fold increase in risk (95% confidence interval (CI): 6.95-115). Significant bi-allelic effects were also observed for G396D and Y179C/G396D compound heterozygotes and a marginal mono-allelic effect for variant Y179C (odds ratio (OR) = 1.34; 95% CI: 1.00-1.80). A pooled meta-analysis of all published and unpublished datasets submitted showed bi-allelic effects for MUTYH, G396D and Y179C (OR = 10.8, 95% CI: 5.02-23.2; OR = 6.47, 95% CI: 2.33-18.0; OR = 3.35, 95% CI: 1.14-9.89) and marginal mono-allelic effect for variants MUTYH (OR = 1.16, 95% CI: 1.00-1.34) and Y179C alone (OR = 1.34, 95% CI: 1.01-1.77). CONCLUSIONS: Overall, this large study refines estimates of disease risk associated with mono-allelic and bi-allelic MUTYH carriers. British Journal of Cancer (2010) 103, 1875-1884. doi:10.1038/sj.bjc.6605966 www.bjcancer.com Published online 9 November 2010 (C) 2010 Cancer Research UK

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