Literature DB >> 26201697

Phenome-Wide Association Studies: Embracing Complexity for Discovery.

Sarah A Pendergrass1, Anurag Verma, Anna Okula, Molly A Hall, Dana C Crawford, Marylyn D Ritchie.   

Abstract

The inherent complexity of biological systems can be leveraged for a greater understanding of the impact of genetic architecture on outcomes, traits, and pharmacological response. The genome-wide association study (GWAS) approach has well-developed methods and relatively straight-forward methodologies; however, the bigger picture of the impact of genetic architecture on phenotypic outcome still remains to be elucidated even with an ever-growing number of GWAS performed. Greater consideration of the complexity of biological processes, using more data from the phenome, exposome, and diverse -omic resources, including considering the interplay of pleiotropy and genetic interactions, may provide additional leverage for making the most of the incredible wealth of information available for study. Here, we describe how incorporating greater complexity into analyses through the use of additional phenotypic data and widespread deployment of phenome-wide association studies may provide new insights into genetic factors influencing diseases, traits, and pharmacological response. 2015 S. Karger AG, Basel.

Mesh:

Year:  2015        PMID: 26201697     DOI: 10.1159/000381851

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  9 in total

1.  INTEGRATING CLINICAL LABORATORY MEASURES AND ICD-9 CODE DIAGNOSES IN PHENOME-WIDE ASSOCIATION STUDIES.

Authors:  Anurag Verma; Joseph B Leader; Shefali S Verma; Alex Frase; John Wallace; Scott Dudek; Daniel R Lavage; Cristopher V Van Hout; Frederick E Dewey; John Penn; Alex Lopez; John D Overton; David J Carey; David H Ledbetter; H Lester Kirchner; Marylyn D Ritchie; Sarah A Pendergrass
Journal:  Pac Symp Biocomput       Date:  2016

Review 2.  Unravelling the human genome-phenome relationship using phenome-wide association studies.

Authors:  William S Bush; Matthew T Oetjens; Dana C Crawford
Journal:  Nat Rev Genet       Date:  2016-02-15       Impact factor: 53.242

3.  An Analytic Solution to the Computation of Power and Sample Size for Genetic Association Studies under a Pleiotropic Mode of Inheritance.

Authors:  Derek Gordon; Douglas Londono; Payal Patel; Wonkuk Kim; Stephen J Finch; Gary A Heiman
Journal:  Hum Hered       Date:  2017-03-18       Impact factor: 0.444

4.  Evidence for extensive pleiotropy among pharmacogenes.

Authors:  Matthew T Oetjens; William S Bush; Joshua C Denny; Kelly Birdwell; Nuri Kodaman; Anurag Verma; Holli H Dilks; Sarah A Pendergrass; Marylyn D Ritchie; Dana C Crawford
Journal:  Pharmacogenomics       Date:  2016-06-01       Impact factor: 2.533

Review 5.  Genomic and Phenomic Research in the 21st Century.

Authors:  Scott Hebbring
Journal:  Trends Genet       Date:  2018-10-17       Impact factor: 11.639

6.  Multiphenotype association study of patients randomized to initiate antiretroviral regimens in AIDS Clinical Trials Group protocol A5202.

Authors:  Anurag Verma; Yuki Bradford; Shefali S Verma; Sarah A Pendergrass; Eric S Daar; Charles Venuto; Gene D Morse; Marylyn D Ritchie; David W Haas
Journal:  Pharmacogenet Genomics       Date:  2017-03       Impact factor: 2.089

7.  Rare variants in drug target genes contributing to complex diseases, phenome-wide.

Authors:  Shefali Setia Verma; Navya Josyula; Anurag Verma; Xinyuan Zhang; Yogasudha Veturi; Frederick E Dewey; Dustin N Hartzel; Daniel R Lavage; Joe Leader; Marylyn D Ritchie; Sarah A Pendergrass
Journal:  Sci Rep       Date:  2018-03-15       Impact factor: 4.379

8.  Quantitative analyses of adiposity dynamics in zebrafish.

Authors:  Loes M H Elemans; Iris Pruñonosa Cervera; Susanna E Riley; Rebecca Wafer; Rosalyn Fong; Panna Tandon; James E N Minchin
Journal:  Adipocyte       Date:  2019-12       Impact factor: 4.534

9.  Genetic variation in ALDH4A1 is associated with muscle health over the lifespan and across species.

Authors:  Osvaldo Villa; Nicole L Stuhr; Chia-An Yen; Eileen M Crimmins; Thalida Em Arpawong; Sean P Curran
Journal:  Elife       Date:  2022-04-26       Impact factor: 8.713

  9 in total

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