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Title: Identifying Novel Susceptibility Genes for Colorectal Cancer Risk From a Transcriptome-Wide Association Study of 125,478 Subjects.
Authors: Guo X,  Lin W,  Wen W,  Huyghe J,  Bien S,  Cai Q,  Harrison T,  Chen Z,  Qu C,  Bao J,  Long J,  Yuan Y,  Wang F,  Bai M,  Abecasis GR,  Albanes D,  Berndt SI,  Bézieau S,  Bishop DT,  Brenner H,  Buch S,  Burnett-Hartman A,  Campbell PT,  Castellví-Bel S,  Chan AT,  Chang-Claude J,  Chanock SJ,  Cho SH,  Conti DV,  Chapelle A,  Feskens EJM,  Gallinger SJ,  Giles GG,  Goodman PJ,  Gsur A,  Guinter M,  Gunter MJ,  Hampe J,  Hampel H,  Hayes RB,  Hoffmeister M,  Kampman E,  Kang HM,  Keku TO,  Kim HR,  Le Marchand L,  Lee SC,  Li CI,  Li L,  Lindblom A,  Lindor N,  Milne RL,  Moreno V,  Murphy N,  Newcomb PA,  Nickerson DA,  Offit K,  Pearlman R,  Pharoah PDP,  Platz EA,  Potter JD,  Rennert G,  Sakoda LC,  Schafmayer C,  Schmit SL,  Schoen RE,  Schumacher FR,  Slattery ML,  Su YR,  Tangen CM,  Ulrich CM,  van Duijnhoven FJB,  Van Guelpen B,  Visvanathan K,  Vodicka P,  Vodickova L,  Vymetalkova V,  Wang X,  White E,  Wolk A,  Woods MO,  Casey G,  Hsu L,  Jenkins MA,  Gruber SB,  Peters U,  Zheng W
Journal: Gastroenterology
Date: 2021 Mar
Branches: LGS, MEB, OD, OEEB
PubMed ID: 33058866
PMC ID: PMC7956223
Abstract: BACKGROUND AND AIMS: Susceptibility genes and the underlying mechanisms for the majority of risk loci identified by genome-wide association studies (GWAS) for colorectal cancer (CRC) risk remain largely unknown. We conducted a transcriptome-wide association study (TWAS) to identify putative susceptibility genes. METHODS: Gene-expression prediction models were built using transcriptome and genetic data from the 284 normal transverse colon tissues of European descendants from the Genotype-Tissue Expression (GTEx), and model performance was evaluated using data from The Cancer Genome Atlas (n = 355). We applied the gene-expression prediction models and GWAS data to evaluate associations of genetically predicted gene-expression with CRC risk in 58,131 CRC cases and 67,347 controls of European ancestry. Dual-luciferase reporter assays and knockdown experiments in CRC cells and tumor xenografts were conducted. RESULTS: We identified 25 genes associated with CRC risk at a Bonferroni-corrected threshold of P < 9.1 × 10-6, including genes in 4 novel loci, PYGL (14q22.1), RPL28 (19q13.42), CAPN12 (19q13.2), MYH7B (20q11.22), and MAP1L3CA (20q11.22). In 9 known GWAS-identified loci, we uncovered 9 genes that have not been reported previously, whereas 4 genes remained statistically significant after adjusting for the lead risk variant of the locus. Through colocalization analysis in GWAS loci, we additionally identified 12 putative susceptibility genes that were supported by TWAS analysis at P < .01. We showed that risk allele of the lead risk variant rs1741640 affected the promoter activity of CABLES2. Knockdown experiments confirmed that CABLES2 plays a vital role in colorectal carcinogenesis. CONCLUSIONS: Our study reveals new putative susceptibility genes and provides new insight into the biological mechanisms underlying CRC development.