Literature DB >> 34991903

Maturation and application of phenome-wide association studies.

Shiying Liu1, Dana C Crawford2.   

Abstract

In the past 10 years since its introduction, phenome-wide association studies (PheWAS) have uncovered novel genotype-phenotype relationships. Along the way, PheWAS have evolved in many aspects as a study design with the expanded availability of large data repositories with genome-wide data linked to detailed phenotypic data. Advancement in methods, including algorithms, software, and publicly available integrated resources, makes it feasible to more fully realize the potential of PheWAS, overcoming the previous computational and analytical limitations. We review here the most recent improvements and notable applications of PheWAS since the second half of the decade from its inception. We also note the challenges that remain embedded along the entire PheWAS analytical pipeline that necessitate further development of tools and resources to further advance the understanding of the complex genetic architecture underlying human diseases and traits.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  cross-phenotype associations; phenome-wide association studies; pleiotropy

Mesh:

Year:  2022        PMID: 34991903      PMCID: PMC8930498          DOI: 10.1016/j.tig.2021.12.002

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  62 in total

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Review 7.  Statistical methods to detect pleiotropy in human complex traits.

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Journal:  Open Biol       Date:  2017-11       Impact factor: 6.411

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10.  Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks.

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  1 in total

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