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Assessing the Relationship Between Leukocyte Telomere Length and Cancer Risk/Mortality in UK Biobank and TCGA Datasets With the Genetic Risk Score and Mendelian Randomization Approaches

Overview
Journal Front Genet
Date 2020 Nov 16
PMID 33193711
Citations 17
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Abstract

Background: Telomere length is an important indicator of tumor progression and survival for cancer patients. Previous work investigated the associations between genetically predicted telomere length and cancers; however, the types of cancers investigated in those studies were relatively limited or the telomere length-associated genetic variants employed often came from genome-wide association studies (GWASs) with small sample sizes.

Methods: We constructed the genetic risk score (GRS) for leukocyte telomere length based on 17 associated genetic variants available from the largest telomere length GWAS up to 78,592 individuals. Then, a comprehensive analysis was undertaken to evaluate the association between the constructed GRS and the risk or mortality of a wide range of cancers [i.e., 37 cancers in the UK Biobank and 33 cancers in The Cancer Genome Atlas (TCGA)]. We further applied the two-sample Mendelian randomization (MR) to estimate the causal effect of leukocyte telomere length on UK Biobank cancers via summary statistics.

Results: In the UK Biobank dataset, we found that the GRS of leukocyte telomere length was associated with a decreased risk of nine types of cancer (i.e., significant association with multiple myeloma, chronic lymphocytic leukemia, kidney/renal cell cancer, bladder cancer, malignant melanoma, basal cell carcinoma, and prostate cancer and suggestive association with sarcoma/fibrosarcoma and Hodgkin's lymphoma/Hodgkin's disease). In addition, we found that the GRS was suggestively associated with an increased risk of leukemia. In the TCGA dataset, we observed suggestive evidence that the GRS was associated with a high death hazard of rectum adenocarcinoma (READ), sarcoma (SARC), and skin cutaneous melanoma (SKCM), while the GRS was associated with a low death hazard of kidney renal papillary cell carcinoma (KIRP). The results of MR further supported the association for leukocyte telomere length on the risk of malignant melanoma, Hodgkin's lymphoma/Hodgkin's disease, chronic lymphocytic leukemia and multiple myeloma.

Conclusion: Our study reveals that telomere played diverse roles in different types of cancers. However, further validations in large-scale prospective studies and deeper investigations of the biologic mechanisms are warranted.

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References
1.
Nelson C, Codd V . Genetic determinants of telomere length and cancer risk. Curr Opin Genet Dev. 2020; 60:63-68. DOI: 10.1016/j.gde.2020.02.007. View

2.
McCarthy S, Das S, Kretzschmar W, Delaneau O, Wood A, Teumer A . A reference panel of 64,976 haplotypes for genotype imputation. Nat Genet. 2016; 48(10):1279-83. PMC: 5388176. DOI: 10.1038/ng.3643. View

3.
Levy D, Neuhausen S, Hunt S, Kimura M, Hwang S, Chen W . Genome-wide association identifies OBFC1 as a locus involved in human leukocyte telomere biology. Proc Natl Acad Sci U S A. 2010; 107(20):9293-8. PMC: 2889047. DOI: 10.1073/pnas.0911494107. View

4.
Euesden J, Lewis C, OReilly P . PRSice: Polygenic Risk Score software. Bioinformatics. 2015; 31(9):1466-8. PMC: 4410663. DOI: 10.1093/bioinformatics/btu848. View

5.
de Lange T . Shelterin: the protein complex that shapes and safeguards human telomeres. Genes Dev. 2005; 19(18):2100-10. DOI: 10.1101/gad.1346005. View