Back to Search Start Over

Identifying Novel Susceptibility Genes for Colorectal Cancer Risk From a Transcriptome-Wide Association Study of 125,478 Subjects

Authors :
Li Li
Mark A. Jenkins
Jeroen R. Huyghe
Sang-Hee Cho
Alicja Wolk
Kenneth Offit
Rachel Pearlman
D. Timothy Bishop
Jenny Chang-Claude
Jiandong Bao
Soo-Chin Lee
Fangqin Wang
Martha L. Slattery
Stephan Buch
Hyun Min Kang
Yuan Yuan
Fredrick R. Schumacher
Gonçalo R. Abecasis
John D. Potter
Fränzel J.B. Van Duijnhoven
Robert E. Schoen
Gad Rennert
Heather Hampel
Graham G. Giles
Neil Murphy
Tabitha A. Harrison
Ellen Kampman
Polly A. Newcomb
Wei Zheng
Weiqiang Lin
Zhishan Chen
Edith J. M. Feskens
Michael Hoffmeister
Hermann Brenner
Ulrike Peters
Paul D.P. Pharoah
Temitope O. Keku
Graham Casey
Pavel Vodicka
Annika Lindblom
Sonja I. Berndt
Ludmila Vodickova
Yu Ru Su
Phyllis J. Goodman
Albert de la Chapelle
Michael O. Woods
Sergi Castellví-Bel
Jirong Long
Andrea Gsur
Cornelia M. Ulrich
Stephanie L. Schmit
Stephen B. Gruber
Stephen J. Chanock
Qiuyin Cai
Victor Moreno
Xiaoliang Wang
Xingyi Guo
David V. Conti
Jochen Hampe
Mark A. Guinter
Andrea N. Burnett-Hartman
Demetrius Albanes
Hyeong Rok Kim
Veronika Vymetalkova
Bethany Van Guelpen
Kala Visvanathan
Loic Le Marchand
Stéphane Bézieau
Deborah A. Nickerson
Roger L. Milne
Wanqing Wen
Lori C. Sakoda
Stephanie A. Bien
Li Hsu
Emily White
Conghui Qu
Peter T. Campbell
Christopher I. Li
Elizabeth A. Platz
Clemens Schafmayer
Mengqiu Bai
Steven Gallinger
Noralane M. Lindor
Marc J. Gunter
Catherine M. Tangen
Andrew T. Chan
Richard B. Hayes
Source :
Gastroenterology 160 (2021) 4, Gastroenterology, Gastroenterology, 160(4), 1164-1178.e6
Publication Year :
2021

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 (TCGA, 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 four novel loci, PYGL (14q22.1), RPL28 (19q13.42), CAPN12 (19q13.2), MYH7B (20q11.22), and MAP1L3CA (20q11.22). In nine known GWAS-identified loci, we uncovered nine genes that have not been previously reported, whereas four 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 < 0.01. 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. CONCLUSION: Our study reveals new putative susceptibility genes and provides new insight into the biological mechanisms underlying CRC development.

Details

Language :
English
ISSN :
00165085
Database :
OpenAIRE
Journal :
Gastroenterology 160 (2021) 4, Gastroenterology, Gastroenterology, 160(4), 1164-1178.e6
Accession number :
edsair.doi.dedup.....75337edf52b684019bb9ec5dcaa55e77