Literature DB >> 25060271

Admixture and clinical phenotypic variation.

Laura H Goetz1, Liliana Uribe-Bruce, Danjuma Quarless, Ondrej Libiger, Nicholas J Schork.   

Abstract

All human populations exhibit some level of genetic differentiation. This differentiation, or population stratification, has many interacting sources, including historical migrations, population isolation over time, genetic drift, and selection and adaptation. If differentiated populations remained isolated from each other over a long period of time such that there is no mating of individuals between those populations, then some level of global consanguinity within those populations will lead to the formation of gene pools that will become more and more distinct over time. Global genetic differentiation of this sort can lead to overt phenotypic differences between populations if phenotypically relevant variants either arise uniquely within those populations or begin to exhibit frequency differences across the populations. This can occur at the single variant level for monogenic phenotypes or at the level of aggregate variant frequency differences across the many loci that contribute to a phenotype with a multifactorial or polygenic basis. However, if individuals begin to interbreed (or 'admix') from populations with different frequencies of phenotypically relevant genetic variants, then these admixed individuals will exhibit the phenotype to varying degrees. The level of phenotypic expression will depend on the degree to which the admixed individuals have inherited causative variants that have descended from the ancestral population in which those variants were present (or, more likely, simply more frequent). We review studies that consider the association between the degree of admixture (or ancestry) and phenotypes of clinical relevance. We find a great deal of literature-based evidence for associations between the degree of admixture and phenotypic variation for a number of admixed populations and phenotypes, although not all this evidence is confirmatory. We also consider the implications of such associations for gene-mapping initiatives as well as general clinical epidemiology studies and medical practice. We end with some thoughts on the future of studies exploring phenotypic differences among admixed individuals as well as individuals with different ancestral backgrounds.
© 2014 S. Karger AG, Basel

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Year:  2014        PMID: 25060271     DOI: 10.1159/000362233

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


  12 in total

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3.  Genetic diversity of disease-associated loci in Turkish population.

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Review 6.  Self-reported race/ethnicity in the age of genomic research: its potential impact on understanding health disparities.

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Journal:  PLoS One       Date:  2016-12-30       Impact factor: 3.240

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Review 10.  Do Genomic Factors Play a Role in Diabetic Retinopathy?

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Journal:  J Clin Med       Date:  2020-01-14       Impact factor: 4.241

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