Embracing Complex Associations in Common Traits: Critical Considerations for Precision Medicine

Molly A. Hall, Jason H. Moore, Marylyn D. Ritchie

Research output: Contribution to journalReview article

14 Citations (Scopus)

Abstract

Genome-wide association studies (GWAS) have identified numerous loci associated with human phenotypes. This approach, however, does not consider the richly diverse and complex environment with which humans interact throughout the life course, nor does it allow for interrelationships between genetic loci and across traits. As we move toward making precision medicine a reality, whereby we make predictions about disease risk based on genomic profiles, we need to identify improved predictive models of the relationship between genome and phenome. Methods that embrace pleiotropy (the effect of one locus on more than one trait), and gene–environment (G × E) and gene–gene (G × G) interactions, will further unveil the impact of alterations in biological pathways and identify genes that are only involved with disease in the context of the environment. This valuable information can be used to assess personal risk and choose the most appropriate medical interventions based on the genotype and environment of an individual, the whole premise of precision medicine.

Original languageEnglish (US)
Pages (from-to)470-484
Number of pages15
JournalTrends in Genetics
Volume32
Issue number8
DOIs
StatePublished - Aug 1 2016

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Precision Medicine
Genetic Loci
Genome-Wide Association Study
Genotype
Genome
Phenotype
Genes

All Science Journal Classification (ASJC) codes

  • Genetics

Cite this

Hall, Molly A. ; Moore, Jason H. ; Ritchie, Marylyn D. / Embracing Complex Associations in Common Traits : Critical Considerations for Precision Medicine. In: Trends in Genetics. 2016 ; Vol. 32, No. 8. pp. 470-484.
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Embracing Complex Associations in Common Traits : Critical Considerations for Precision Medicine. / Hall, Molly A.; Moore, Jason H.; Ritchie, Marylyn D.

In: Trends in Genetics, Vol. 32, No. 8, 01.08.2016, p. 470-484.

Research output: Contribution to journalReview article

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