Cross-phenotype association analysis of gastric cancer: in-silico functional annotation based on the disease

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Cross-phenotype association analysis of gastric cancer: in-silico functional annotation based on the disease–gene network

Published:2023-03-30 Issue:4 Volume:26 Page:517-527
ISSN:1436-3291
Container-title:Gastric Cancer
language:en
Short-container-title:Gastric Cancer

Author:

Lee Sangjun,Yang Han-Kwang,Lee Hyuk-Joon,Park Do Joong,Kong Seong-Ho,Park Sue K.^ORCID

Funder

the National Research Foundation of Korea (NRF) grant funded by the Korea government

the Korean Foundation for Cancer Research

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Gastroenterology,Oncology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10120-023-01380-7.pdf

Reference78 articles.

1. Wang WY, Barratt BJ, Clayton DG, Todd JA. Genome-wide association studies: theoretical and practical concerns. Nat Rev Genet. 2005;6:109–18.

2. Manolio TA. Genomewide association studies and assessment of the risk of disease. N Engl J Med. 2010;363:166–76.

3. Wagner GP, Zhang J. The pleiotropic structure of the genotype-phenotype map: the evolvability of complex organisms. Nat Rev Genet. 2011;12:204–13.

4. Welter D, MacArthur J, Morales J, Burdett T, Hall P, Junkins H, et al. The NHGRI GWAS Catalog, a curated resource of SNP-trait associations. Nucleic Acids Res. 2014;42:D1001–6.

5. Ghoussaini M, Song H, Koessler T, Al Olama AA, Kote-Jarai Z, Driver KE, et al. Multiple loci with different cancer specificities within the 8q24 gene desert. J Natl Cancer Inst. 2008;100:962–6.

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