Systematic meta-analyses and field synopsis of genetic association studies in colorectal adenomas

Zahra Montazeri(University of Ottawa), Evropi Τheodoratou(University of Edinburgh), Christine Nyiraneza(University of Ottawa), Maria Timofeeva(Western General Hospital), Wanjing Chen(University of Edinburgh), Victoria Svinti(Western General Hospital), Shanya Sivakumaran(University of Edinburgh), Gillian Gresham(University of Ottawa), Laura Cubitt(University of Edinburgh), Luis G. Carvajal‐Carmona(University of California, Davis), Monica M. Bertagnolli(Brigham and Women's Hospital), Ann G. Zauber(Memorial Sloan Kettering Cancer Center), Ian Tomlinson(Centre for Human Genetics), Susan M. Farrington(Western General Hospital), Malcolm G. Dunlop(Western General Hospital), Harry Campbell(Western General Hospital), Julian Little(University of Ottawa)
International Journal of Epidemiology
October 7, 2015
Cited by 25Open Access
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Abstract

BACKGROUND: Low penetrance genetic variants, primarily single nucleotide polymorphisms, have substantial influence on colorectal cancer (CRC) susceptibility. Most CRCs develop from colorectal adenomas (CRA). Here we report the first comprehensive field synopsis that catalogues all genetic association studies on CRA, with a parallel online database [http://www.chs.med.ed.ac.uk/CRAgene/]. METHODS: We performed a systematic review, reviewing 9750 titles, and then extracted data from 130 publications reporting on 181 polymorphisms in 74 genes. We conducted meta-analyses to derive summary effect estimates for 37 polymorphisms in 26 genes. We applied the Venice criteria and Bayesian False Discovery Probability (BFDP) to assess the levels of the credibility of associations. RESULTS: We considered the association with the rs6983267 variant at 8q24 as 'highly credible', reaching genome-wide statistical significance in at least one meta-analysis model. We identified 'less credible' associations (higher heterogeneity, lower statistical power, BFDP > 0.02) with a further four variants of four independent genes: MTHFR c.677C>T p.A222V (rs1801133), TP53 c.215C>G p.R72P (rs1042522), NQO1 c.559C>T p.P187S (rs1800566), and NAT1 alleles imputed as fast acetylator genotypes. For the remaining 32 variants of 22 genes for which positive associations with CRA risk have been previously reported, the meta-analyses revealed no credible evidence to support these as true associations. CONCLUSIONS: The limited number of credible associations between low penetrance genetic variants and CRA reflects the lower volume of evidence and associated lack of statistical power to detect associations of the magnitude typically observed for genetic variants and chronic diseases. The CRA gene database provides context for CRA genetic association data and will help inform future research directions.


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