ArticleScientific reports2017
A systematic SNP selection approach to identify mechanisms underlying disease aetiology: linking height to post-menopausal breast and colorectal cancer risk.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
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Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Genetic Variation and Hot Flashes: A Systematic Review.The Journal of clinical endocrinology and metabolism · 2020Pooled it
- The Relationship Between the hOGG1 rs1052133 Polymorphism and the Occurrence of Nasopharyngeal Carcinoma: A Systematic Review and Meta-Analysis.Technology in cancer research & treatmentPooled it
- Positive association between actinic keratosis and internal malignancies: a nationwide population-based cohort study.Scientific reports · 2021Article
- Identification of infectious disease-associated host genes using machine learning techniques.BMC bioinformatics · 2019Article
- Size matters: height, cell number and a person's risk of cancer.Proceedings. Biological sciences · 2018Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Data from GWAS suggest that SNPs associated with complex diseases or traits tend to co-segregate in regions of low recombination, harbouring functionally linked gene clusters. This phenomenon allows for selecting a limited number of SNPs from GWAS repositories for large-scale studies investigating shared mechanisms between diseases. For example, we were interested in shared mechanisms between adult-attained height and post-menopausal breast cancer (BC) and colorectal cancer (CRC) risk, because height is a risk factor for these cancers, though likely not a causal factor. Using SNPs from public GWAS repositories at p-values < 1 × 10
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