4.7 Article

Pharmacogenetics: Implications of race and ethnicity on defining genetic profiles for personalized medicine

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MOSBY-ELSEVIER
DOI: 10.1016/j.jaci.2013.10.040

关键词

Asthma; genes; pharmacogenetics; response heterogeneity; single nucleotide polymorphism; admixture mapping; ethnic group

资金

  1. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [U10HL109164, U10HL098103] Funding Source: NIH RePORTER
  2. NATIONAL INSTITUTE OF NURSING RESEARCH [R01NR013700] Funding Source: NIH RePORTER
  3. NHLBI NIH HHS [U10 HL109164, U10 HL098103] Funding Source: Medline
  4. NINR NIH HHS [R01 NR013700] Funding Source: Medline

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Pharmacogenetics is being used to develop personalized therapies specific to subjects from different ethnic or racial groups. To date, pharmacogenetic studies have been primarily performed in trial cohorts consisting of non-Hispanic white subjects of European descent. A bottleneck or collapse of genetic diversity associated with the first human colonization of Europe during the Upper Paleolithic period, followed by the recent mixing of African, European, and Native American ancestries, has resulted in different ethnic groups with varying degrees of genetic diversity. Differences in genetic ancestry might introduce genetic variation, which has the potential to alter the therapeutic efficacy of commonly used asthma therapies, such as beta(2)-adrenergic receptor agonists (beta-agonists). Pharmacogenetic studies of admixed ethnic groups have been limited to small candidate gene association studies, of which the best example is the gene coding for the receptor target of beta-agonist therapy, the beta(2)-adrenergic receptor (ADRB2). Large consortium-based sequencing studies are using next-generation whole-genome sequencing to provide a diverse genome map of different admixed populations, which can be used for future pharmacogenetic studies. These studies will include candidate gene studies, genome-wide association studies, and whole-genome admixture-based approaches that account for ancestral genetic structure, complex haplotypes, gene-gene interactions, and rare variants to detect and replicate novel pharmacogenetic loci.

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