Cross-cancer pleiotropic analysis identifies three novel genetic risk loci for colorectal cancer

Author:

Sun Jing1,Wang Lijuan12,Zhou Xuan1,Hu Lidan3,Yuan Shuai4,Bian Zilong1,Chen Jie1,Zhu Yingshuang5,Farrington Susan M6,Campbell Harry2,Ding Kefeng5,Zhang Dongfeng7,Dunlop Malcolm G6,Theodoratou Evropi26,Li Xue18

Affiliation:

1. 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

2. Centre for Global Health, Usher Institute, University of Edinburgh , Edinburgh EH8 9AG , UK

3. The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health , Hangzhou 310005 , China

4. Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet , Stockholm 171 77 , Sweden

5. 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

6. Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and Cancer, University of Edinburgh , Edinburgh EH4 2XU , UK

7. Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University , Qingdao 266071 , China

8. The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province , Hangzhou, Zhejiang 310058 , China

Abstract

AbstractBackgroundTo 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.MethodsWe 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.ResultsGenome-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.ConclusionOur 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.

Funder

Natural Science Fund for Distinguished Young Scholars of Zhejiang Province

National Nature Science Foundation of China

CRUK Career Development Fellowship

Cancer Research UK

Edinburgh CRUK Cancer Research Centre

MRC Human Genetics Unit Centre

Health Planning Committee

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology,General Medicine

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