Novel insights into genetic susceptibility for colorectal cancer from transcriptome-wide association and functional investigation
Jazyk angličtina Země Spojené státy americké Médium print
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
Grantová podpora
P30 DK058404
NIDDK NIH HHS - United States
R37 CA227130
NCI NIH HHS - United States
R37 CA227130
NIH HHS - United States
PubMed
37632791
PubMed Central
PMC10777674
DOI
10.1093/jnci/djad178
PII: 7252238
Knihovny.cz E-zdroje
- MeSH
- celogenomová asociační studie MeSH
- genetická predispozice k nemoci MeSH
- jednonukleotidový polymorfismus MeSH
- kolorektální nádory * genetika MeSH
- lidé MeSH
- represorové proteiny genetika MeSH
- RNA MeSH
- transkriptom * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- Názvy látek
- represorové proteiny MeSH
- RNA MeSH
- TRPS1 protein, human MeSH Prohlížeč
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.
Center for Cancer Research Medical University of Vienna Vienna Austria
Consortium for Biomedical Research in Epidemiology and Public Health Madrid Spain
Department of Biomedical Informatics Vanderbilt University School of Medicine Nashville TN USA
Department of Biostatistics University of Washington Seattle WA USA
Department of Epidemiology University of Washington Seattle WA USA
Faculty of Medicine and Biomedical Center in Pilsen Charles University Pilsen Czech Republic
Genetic Medicine and Family Cancer Clinic The Royal Melbourne Hospital Parkville VIC Australia
Institute of Environmental Medicine Karolinska Institutet Stockholm Sweden
Memorial University of Newfoundland Discipline of Genetics St John's ON Canada
Preventative Medicine University of Southern California Los Angeles CA USA
Public Health Sciences Division Fred Hutchinson Cancer Research Center Seattle WA USA
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Lu Y, Kweon SS, Tanikawa C, et al.Large-scale genome-wide association study of East Asians identifies loci associated with risk for colorectal cancer. Gastroenterology. 2019;156(5):1455-1466. PubMed PMC
Huyghe JR, Bien SA, Harrison TA, et al.Discovery of common and rare genetic risk variants for colorectal cancer. Nat Genet. 2019;51(1):76-87. PubMed PMC
Lu Y, Kweon SS, Cai Q, et al.Identification of novel loci and new risk variant in known loci for colorectal cancer risk in East Asians. Cancer Epidemiol Biomarkers Prev. 2020;29(2):477-486. PubMed PMC
Law PJ, Timofeeva M, Fernandez-Rozadilla C, et al.; PRACTICAL Consortium. Association analyses identify 31 new risk loci for colorectal cancer susceptibility. Nat Commun. 2019;10(1):2154. PubMed PMC
Huyghe JR, Harrison TA, Bien SA, et al.Genetic architectures of proximal and distal colorectal cancer are partly distinct. Gut. 2021;70(7):1325-1334. PubMed PMC
Fernandez-Rozadilla C, Timofeeva M, Chen Z, et al.Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries. Nat Genet. 2023;55(1):89-99. PubMed PMC
Gamazon ER, Wheeler HE, Shah KP, et al.; GTEx Consortium. A gene-based association method for mapping traits using reference transcriptome data. Nat Genet. 2015;47(9):1091-1098. PubMed PMC
Gusev A, Ko A, Shi H, et al.Integrative approaches for large-scale transcriptome-wide association studies. Nat Genet. 2016;48(3):245-252. PubMed PMC
Wu L, Shi W, Long J, et al.; kConFab/AOCS Investigators. A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer. Nat Genet. 2018;50(7):968-978. PubMed PMC
Mancuso N, Gayther S, Gusev A, et al.; PRACTICAL Consortium. Large-scale transcriptome-wide association study identifies new prostate cancer risk regions. Nat Commun. 2018;9(1):4079. PubMed PMC
Zhong J, Jermusyk A, Wu L, et al.A transcriptome-wide association study identifies novel candidate susceptibility genes for pancreatic cancer. J Natl Cancer Inst. 2020;112(10):1003-1012. PubMed PMC
Lu Y, Beeghly-Fadiel A, Wu L, et al.A transcriptome-wide association study among 97,898 women to identify candidate susceptibility genes for epithelial ovarian cancer risk. Cancer Res. 2018;78(18):5419-5430. PubMed PMC
Gusev A, Lawrenson K, Lin X, et al.; Ovarian Cancer Association Consortium. A transcriptome-wide association study of high-grade serous epithelial ovarian cancer identifies new susceptibility genes and splice variants. Nat Genet. 2019;51(5):815-823. PubMed PMC
Guo X, Lin W, Wen W, et al.Identifying novel susceptibility genes for colorectal cancer risk from a transcriptome-wide association study of 125,478 subjects. Gastroenterology. 2021;160(4):1164-1178.e6. PubMed PMC
Fernandez-Rozadilla C, Timofeeva MN, Chen Z, Law PJ, Thomas M, Schmit SL.. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and Asian descent. Nat Genet. 2023;55(1):89-99. PubMed PMC
Bien SA, Su YR, Conti DV, et al.Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer. Hum Genet. 2019;138(4):307-326. PubMed PMC
Garrido-Martín D, Borsari B, Calvo M, Reverter F, Guigó R.. Identification and analysis of splicing quantitative trait loci across multiple tissues in the human genome. Nat Commun. 2021;12(1):727. PubMed PMC
de Goede OM, Nachun DC, Ferraro NM, et al.; GTEx Consortium. Population-scale tissue transcriptomics maps long non-coding RNAs to complex disease. Cell. 2021;184(10):2633-2648.e19. PubMed PMC
Qi T, Wu Y, Fang H, et al.Genetic control of RNA splicing and its distinct role in complex trait variation. Nat Genet. 2022;54(9):1355-1363. PubMed PMC
Stegle O, Parts L, Durbin R, Winn J.. A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studies. PLoS Comput Biol. 2010;6(5):e1000770. PubMed PMC
Yuan Y, Bao J, Chen Z, et al.Multi-omics analysis to identify susceptibility genes for colorectal cancer. Hum Mol Genet. 2021;30(5):321-330. PubMed PMC
Zhu Z, Zhang F, Hu H, et al.Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets. Nat Genet. 2016;48(5):481-487. PubMed
Chen EY, Tan CM, Kou Y, et al.Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. BMC Bioinformatics. 2013;14(1):128. PubMed PMC
Kuleshov MV, Jones MR, Rouillard AD, et al.Enrichr: A comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res. 2016;44(W1):W90-W97. PubMed PMC
Joerger AC, Fersht AR.. The p53 pathway: origins, inactivation in cancer, and emerging therapeutic approaches. Annu Rev Biochem. 2016;85:375-404. PubMed
Wu Y, Zhou BP.. TNF-α/NF-κB/Snail pathway in cancer cell migration and invasion. Br J Cancer. 2010;102(4):639-644. PubMed PMC
Pan Y, Cao F, Guo A, et al.Endoplasmic reticulum ribosome-binding protein 1, RRBP1, promotes progression of colorectal cancer and predicts an unfavourable prognosis. Br J Cancer. 2015;113(5):763-772. PubMed PMC
Ramadori G, Ioris RM, Villanyi Z, et al.FKBP10 regulates protein translation to sustain lung cancer growth. Cell Rep. 2020;30(11):3851-3863.e6. PubMed
Wen W, Chen Z, Bao J, et al.Genetic variations of DNA bindings of FOXA1 and co-factors in breast cancer susceptibility. Nat Commun. 2021;12(1):5318. PubMed PMC
He J, Wen W, Beeghly A, et al.Integrating transcription factor occupancy with transcriptome-wide association analysis identifies susceptibility genes in human cancers. Nat Commun. 2022;13(1):7118. PubMed PMC
Khunsriraksakul C, McGuire D, Sauteraud R, et al.Integrating 3D genomic and epigenomic data to enhance target gene discovery and drug repurposing in transcriptome-wide association studies. Nat Commun. 2022;13(1):3258. PubMed PMC
Dai Q, Zhou G, Zhao H, et al.; eQTLGen Consortium. OTTERS: a powerful TWAS framework leveraging summary-level reference data. Nat Commun. 2023;14(1):1271. PubMed PMC
Gao G, Fiorica PN, McClellan J, et al.A joint transcriptome-wide association study across multiple tissues identifies candidate breast cancer susceptibility genes. Am J Hum Genet. 2023;110(6):950-962. PubMed PMC
Holowatyj AN, Wen W, Gibbs T, et al.Racial/ethnic and sex differences in somatic cancer gene mutations among patients with early-onset colorectal cancer. Cancer Discov. 2023;13(3):570-579. PubMed PMC