ArticleInternational journal of molecular sciences2019
Population Substructure Has Implications in Validating Next-Generation Cancer Genomics Studies with TCGA.
Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Identifying ovarian cancer with machine learning DNA methylation pattern analysis.Scientific reports · 2025Article
- Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence.JCO precision oncology · 2025Article
- Identification of Ovarian High-Grade Serous Carcinoma with Mitochondrial Gene Variation.International journal of molecular sciences · 2025Article
- Integration of Genomic and Clinical Retrospective Data to Predict Endometrioid Endometrial Cancer Recurrence.International journal of molecular sciences · 2022Article
- Integrated Clinical and Genomic Models to Predict Optimal Cytoreduction in High-Grade Serous Ovarian Cancer.Cancers · 2022Article
- A nuclear polymorphism at the 8q24 region is associated with improved survival time and chemo-response in high-grade serous ovarian cancer.Oncology letters · 2021Article
- Creation and validation of models to predict response to primary treatment in serous ovarian cancer.Scientific reports · 2021Article
- A Prediction Model for Preoperative Risk Assessment in Endometrial Cancer Utilizing Clinical and Molecular Variables.International journal of molecular sciences · 2019Article
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Authors and funding
7 authors.
Funding
Abstract
In the era of large genetic and genomic datasets, it has become crucially important to validate results of individual studies using data from publicly available sources, such as The Cancer Genome Atlas (TCGA). However, how generalizable are results from either an independent or a large public dataset to the remainder of the population? The study presented here aims to answer that question. Utilizing next generation sequencing data from endometrial and ovarian cancer patients from both the University of Iowa and TCGA, genomic admixture of each population was analyzed using STRUCTURE and ADMIXTURE software. In our independent data set, one subpopulation was identified, whereas in TCGA 4⁻6 subpopulations were identified. Data presented here demonstrate how different the genetic substructures of the TCGA and University of Iowa populations are. Validation of genomic studies between two different population samples must be aware of, account for and be corrected for background genetic substructure.
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