-
Je něco špatně v tomto záznamu ?
Novel insights into genetic susceptibility for colorectal cancer from transcriptome-wide association and functional investigation
Z. Chen, W. Song, XO. Shu, W. Wen, M. Devall, C. Dampier, F. Moratalla-Navarro, Q. Cai, J. Long, L. Van Kaer, L. Wu, JR. Huyghe, M. Thomas, L. Hsu, MO. Woods, D. Albanes, DD. Buchanan, A. Gsur, M. Hoffmeister, P. Vodicka, A. Wolk, LL. Marchand,...
Jazyk angličtina Země Spojené státy americké
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
NLK
Free Medical Journals
od 1996 do Před 1 rokem
Open Access Digital Library
od 1996-01-01
PubMed
37632791
DOI
10.1093/jnci/djad178
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
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
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc24007616
- 003
- CZ-PrNML
- 005
- 20240423160133.0
- 007
- ta
- 008
- 240412s2024 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1093/jnci/djad178 $2 doi
- 035 __
- $a (PubMed)37632791
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Chen, Zhishan $u Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
- 245 10
- $a Novel insights into genetic susceptibility for colorectal cancer from transcriptome-wide association and functional investigation / $c Z. Chen, W. Song, XO. Shu, W. Wen, M. Devall, C. Dampier, F. Moratalla-Navarro, Q. Cai, J. Long, L. Van Kaer, L. Wu, JR. Huyghe, M. Thomas, L. Hsu, MO. Woods, D. Albanes, DD. Buchanan, A. Gsur, M. Hoffmeister, P. Vodicka, A. Wolk, LL. Marchand, AH. Wu, AI. Phipps, V. Moreno, P. Ulrike, W. Zheng, G. Casey, X. Guo
- 520 9_
- $a 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.
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a transkriptom $7 D059467
- 650 _2
- $a celogenomová asociační studie $7 D055106
- 650 _2
- $a genetická predispozice k nemoci $7 D020022
- 650 _2
- $a RNA $7 D012313
- 650 12
- $a kolorektální nádory $x genetika $7 D015179
- 650 _2
- $a jednonukleotidový polymorfismus $7 D020641
- 650 _2
- $a represorové proteiny $x genetika $7 D012097
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a Research Support, N.I.H., Extramural $7 D052061
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Song, Wenqiang $u Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA $u Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
- 700 1_
- $a Shu, Xiao-Ou $u Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
- 700 1_
- $a Wen, Wanqing $u Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA $1 https://orcid.org/0000000230045168
- 700 1_
- $a Devall, Matthew $u Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA $1 https://orcid.org/0000000159434397
- 700 1_
- $a Dampier, Christopher $u Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- 700 1_
- $a Moratalla-Navarro, Ferran $u Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain $u Colorectal Cancer Group, ONCOBELL Program, Institut de Recerca Biomedica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain $u 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 $u Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- 700 1_
- $a Cai, Qiuyin $u Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
- 700 1_
- $a Long, Jirong $u Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
- 700 1_
- $a Van Kaer, Luc $u Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
- 700 1_
- $a Wu, Lan $u Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
- 700 1_
- $a Huyghe, Jeroen R $u Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA $1 https://orcid.org/0000000160279806
- 700 1_
- $a Thomas, Minta $u Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- 700 1_
- $a Hsu, Li $u Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA $u Department of Biostatistics, University of Washington, Seattle, WA, USA
- 700 1_
- $a Woods, Michael O $u Memorial University of Newfoundland, Discipline of Genetics, St. John's, ON, Canada
- 700 1_
- $a Albanes, Demetrius $u Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- 700 1_
- $a Buchanan, Daniel D $u Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia $u University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia $u Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC, Australia $1 https://orcid.org/0000000322256675
- 700 1_
- $a Gsur, Andrea $u Center for Cancer Research, Medical University of Vienna, Vienna, Austria $1 https://orcid.org/0000000297951528
- 700 1_
- $a Hoffmeister, Michael $u Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany $1 https://orcid.org/0000000283073197
- 700 1_
- $a Vodicka, Pavel $u Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic $u Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic $u Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
- 700 1_
- $a Wolk, Alicja $u Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden $1 https://orcid.org/0000000173876845
- 700 1_
- $a Marchand, Loic Le $u University of Hawaii Cancer Center, Honolulu, HI, USA
- 700 1_
- $a Wu, Anna H $u Preventative Medicine, University of Southern California, Los Angeles, CA, USA $1 https://orcid.org/000000030546902X
- 700 1_
- $a Phipps, Amanda I $u Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA $u Department of Epidemiology, University of Washington, Seattle, WA, USA
- 700 1_
- $a Moreno, Victor $u Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain $u Colorectal Cancer Group, ONCOBELL Program, Institut de Recerca Biomedica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain $u 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 $u Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain $1 https://orcid.org/0000000228185487
- 700 1_
- $a Ulrike, Peters $u Department of Epidemiology, University of Washington, Seattle, WA, USA
- 700 1_
- $a Zheng, Wei $u Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
- 700 1_
- $a Casey, Graham $u Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- 700 1_
- $a Guo, Xingyi $u Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA $u Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA $1 https://orcid.org/0000000284966288
- 773 0_
- $w MED00003002 $t Journal of the National Cancer Institute $x 1460-2105 $g Roč. 116, č. 1 (2024), s. 127-137
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/37632791 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y - $z 0
- 990 __
- $a 20240412 $b ABA008
- 991 __
- $a 20240423160129 $b ABA008
- 999 __
- $a ok $b bmc $g 2081547 $s 1217383
- BAS __
- $a 3
- BAS __
- $a PreBMC-MEDLINE
- BMC __
- $a 2024 $b 116 $c 1 $d 127-137 $e 20240110 $i 1460-2105 $m Journal of the National Cancer Institute $n J Natl Cancer Inst $x MED00003002
- GRA __
- $a P30 DK058404 $p NIDDK NIH HHS $2 United States
- GRA __
- $a R37 CA227130 $p NCI NIH HHS $2 United States
- GRA __
- $a R37 CA227130 $p NIH HHS $2 United States
- LZP __
- $a Pubmed-20240412