Methods of integrating data to uncover genotype–phenotype interactions
العنوان: | Methods of integrating data to uncover genotype–phenotype interactions |
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المؤلفون: | Marylyn D. Ritchie, Dokyoon Kim, Emily R. Holzinger, Sarah A. Pendergrass, Ruowang Li |
المصدر: | Nature Reviews Genetics. 16:85-97 |
بيانات النشر: | Springer Science and Business Media LLC, 2015. |
سنة النشر: | 2015 |
مصطلحات موضوعية: | Genotype, Systems Biology, Systems biology, Inheritance Patterns, Genetic Variation, Genomics, Computational biology, Phenotypic trait, Heritability, Biology, Bioinformatics, computer.software_genre, Models, Biological, Phenotype, Metabolomics, Meta-Analysis as Topic, Data Interpretation, Statistical, Genetics, Humans, Identification (biology), Molecular Biology, computer, Genetics (clinical), Data integration |
الوصف: | Recent technological advances have expanded the breadth of available omic data, from whole-genome sequencing data, to extensive transcriptomic, methylomic and metabolomic data. A key goal of analyses of these data is the identification of effective models that predict phenotypic traits and outcomes, elucidating important biomarkers and generating important insights into the genetic underpinnings of the heritability of complex traits. There is still a need for powerful and advanced analysis strategies to fully harness the utility of these comprehensive high-throughput data, identifying true associations and reducing the number of false associations. In this Review, we explore the emerging approaches for data integration - including meta-dimensional and multi-staged analyses - which aim to deepen our understanding of the role of genetics and genomics in complex outcomes. With the use and further development of these approaches, an improved understanding of the relationship between genomic variation and human phenotypes may be revealed. |
تدمد: | 1471-0064 1471-0056 |
الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f626f2de226d6475da516bd24a99d177Test https://doi.org/10.1038/nrg3868Test |
حقوق: | CLOSED |
رقم الانضمام: | edsair.doi.dedup.....f626f2de226d6475da516bd24a99d177 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 14710064 14710056 |
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