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Cross-cancer pleiotropic analysis identifies three novel genetic risk loci for colorectal cancer.
Sun, Jing; Wang, Lijuan; Zhou, Xuan; Hu, Lidan; Yuan, Shuai; Bian, Zilong; Chen, Jie; Zhu, Yingshuang; Farrington, Susan M; Campbell, Harry; Ding, Kefeng; Zhang, Dongfeng; Dunlop, Malcolm G; Theodoratou, Evropi; Li, Xue.
Afiliación
  • Sun J; Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China.
  • Wang L; Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China.
  • Zhou X; Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK.
  • Hu L; Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China.
  • Yuan S; The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310005, China.
  • Bian Z; Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden.
  • Chen J; Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China.
  • Zhu Y; Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China.
  • Farrington SM; Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
  • Campbell H; Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK.
  • Ding K; Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK.
  • Zhang D; Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
  • Dunlop MG; Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao 266071, China.
  • Theodoratou E; Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK.
  • Li X; Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK.
Hum Mol Genet ; 32(12): 2093-2102, 2023 06 05.
Article en En | MEDLINE | ID: mdl-36928917
ABSTRACT

BACKGROUND:

To understand the shared genetic basis between colorectal cancer (CRC) and other cancers and identify potential pleiotropic loci for compensating the missing genetic heritability of CRC.

METHODS:

We conducted a systematic genome-wide pleiotropy scan to appraise associations between cancer-related genetic variants and CRC risk among European populations. Single nucleotide polymorphism (SNP)-set analysis was performed using data from the UK Biobank and the Study of Colorectal Cancer in Scotland (10 039 CRC cases and 30 277 controls) to evaluate the overlapped genetic regions for susceptibility of CRC and other cancers. The variant-level pleiotropic associations between CRC and other cancers were examined by CRC genome-wide association study meta-analysis and the pleiotropic analysis under composite null hypothesis (PLACO) pleiotropy test. Gene-based, co-expression and pathway enrichment analyses were performed to explore potential shared biological pathways. The interaction between novel genetic variants and common environmental factors was further examined for their effects on CRC.

RESULTS:

Genome-wide pleiotropic analysis identified three novel SNPs (rs2230469, rs9277378 and rs143190905) and three mapped genes (PIP4K2A, HLA-DPB1 and RTEL1) to be associated with CRC. These genetic variants were significant expressions quantitative trait loci in colon tissue, influencing the expression of their mapped genes. Significant interactions of PIP4K2A and HLA-DPB1 with environmental factors, including smoking and alcohol drinking, were observed. All mapped genes and their co-expressed genes were significantly enriched in pathways involved in carcinogenesis.

CONCLUSION:

Our findings provide an important insight into the shared genetic basis between CRC and other cancers. We revealed several novel CRC susceptibility loci to help understand the genetic architecture of CRC.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Estudio de Asociación del Genoma Completo Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Hum Mol Genet Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Estudio de Asociación del Genoma Completo Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Hum Mol Genet Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China