Novel insights into genetic susceptibility for colorectal cancer from transcriptome-wide association and functional investigation

Author:

Chen Zhishan1,Song Wenqiang12,Shu Xiao-Ou1,Wen Wanqing1ORCID,Devall Matthew3ORCID,Dampier Christopher3,Moratalla-Navarro Ferran4567,Cai Qiuyin1,Long Jirong1,Van Kaer Luc2,Wu Lan2,Huyghe Jeroen R8ORCID,Thomas Minta8,Hsu Li89,Woods Michael O10,Albanes Demetrius11,Buchanan Daniel D121314ORCID,Gsur Andrea15ORCID,Hoffmeister Michael16ORCID,Vodicka Pavel171819,Wolk Alicja20ORCID,Marchand Loic Le21,Wu Anna H22ORCID,Phipps Amanda I823,Moreno Victor4567ORCID,Ulrike Peters23,Zheng Wei1,Casey Graham3,Guo Xingyi124ORCID

Affiliation:

1. Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine , Nashville, TN, USA

2. Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center , Nashville, TN, USA

3. Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia , Charlottesville, VA, USA

4. Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L’Hospitalet de Llobregat , Barcelona, Spain

5. Colorectal Cancer Group, ONCOBELL Program, Institut de Recerca Biomedica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat , Barcelona, Spain

6. Department of Clinical Sciences, Faculty of Medicine and Health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L’Hospitalet de Llobregat , Barcelona, Spain

7. Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP) , Madrid, Spain

8. Public Health Sciences Division, Fred Hutchinson Cancer Research Center , Seattle, WA, USA

9. Department of Biostatistics, University of Washington , Seattle, WA, USA

10. Memorial University of Newfoundland, Discipline of Genetics , St. John’s, ON, Canada

11. Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health , Bethesda, MD, USA

12. Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne , Parkville, VIC, Australia

13. University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre , Parkville, VIC, Australia

14. Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital , Parkville, VIC, Australia

15. Center for Cancer Research, Medical University of Vienna , Vienna, Austria

16. Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ) , Heidelberg, Germany

17. Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences , Prague, Czech Republic

18. Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University , Prague, Czech Republic

19. Faculty of Medicine and Biomedical Center in Pilsen, Charles University , Pilsen, Czech Republic

20. Institute of Environmental Medicine, Karolinska Institutet , Stockholm, Sweden

21. University of Hawaii Cancer Center , Honolulu, HI, USA

22. Preventative Medicine, University of Southern California , Los Angeles, CA, USA

23. Department of Epidemiology, University of Washington , Seattle, WA, USA

24. Department of Biomedical Informatics, Vanderbilt University School of Medicine , Nashville, TN, USA

Abstract

Abstract Background Transcriptome-wide association studies have been successful in identifying candidate susceptibility genes for colorectal cancer (CRC). To strengthen susceptibility gene discovery, we conducted a large transcriptome-wide association study and an alternative splicing transcriptome-wide association study in CRC using improved genetic prediction models and performed in-depth functional investigations. Methods We analyzed RNA-sequencing data from normal colon tissues and genotype data from 423 European descendants to build genetic prediction models of gene expression and alternative splicing and evaluated model performance using independent RNA-sequencing data from normal colon tissues of the Genotype-Tissue Expression Project. We applied the verified models to genome-wide association studies (GWAS) summary statistics among 58 131 CRC cases and 67 347 controls of European ancestry to evaluate associations of genetically predicted gene expression and alternative splicing with CRC risk. We performed in vitro functional assays for 3 selected genes in multiple CRC cell lines. Results We identified 57 putative CRC susceptibility genes, which included the 48 genes from transcriptome-wide association studies and 15 genes from splicing transcriptome-wide association studies, at a Bonferroni-corrected P value less than .05. Of these, 16 genes were not previously implicated in CRC susceptibility, including a gene PDE7B (6q23.3) at locus previously not reported by CRC GWAS. Gene knockdown experiments confirmed the oncogenic roles for 2 unreported genes, TRPS1 and METRNL, and a recently reported gene, C14orf166. Conclusion This study discovered new putative susceptibility genes of CRC and provided novel insights into the biological mechanisms underlying CRC development.

Funder

National Institutes of Health

Agency for Management of University and Research

Catalan Government

Instituto de Salud Carlos III

Spanish Association Against Cancer

Scientific Foundation

Consortium for Biomedical Research in Epidemiology and Public Health

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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