Literature DB >> 15641922

Under the skin: On the impartial treatment of genetic and environmental hypotheses of racial differences.

David C Rowe1.   

Abstract

Environmental and genetic explanations have been given for Black-White racial differences in intelligence and other traits. In science, viable, alternative hypotheses are ideally given equal Bayesian prior weights; but this has not been true in the study of racial differences. This article advocates testing environmental and genetic hypotheses of racial differences as competing hypotheses. Two methods are described: (a) fitting means within structural equation models and (b) predicting means of interracial children. These methods have limitations that call for improved research designs of racial differences. One improvement capitalizes on biotechnology. Genetic admixture estimates--the percentage of genes of European origin that a Black individual possesses (independent of genes related to skin coloration)--can represent genetic influences. The study of interracial children can be improved by increasing sample size and by choosing family members who are most informative for a research question. Eventually, individual-admixture estimates will be replaced by molecular genetic tests of alleles of those genes that influence traits. (c) 2005 APA

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Year:  2005        PMID: 15641922     DOI: 10.1037/0003-066X.60.1.60

Source DB:  PubMed          Journal:  Am Psychol        ISSN: 0003-066X


  3 in total

1.  Epidemiologic analysis of racial/ethnic disparities: some fundamental issues and a cautionary example.

Authors:  Jay S Kaufman
Journal:  Soc Sci Med       Date:  2008-01-14       Impact factor: 4.634

2.  UW GenOM Project: A Successful Undergraduate Research Program for Science and Engineering Undergraduates.

Authors:  Allison Kang
Journal:  Annu Conf Expo (Am Soc Eng Educ)       Date:  2011

Review 3.  Perspective on race and ethnicity in Alzheimer's disease research.

Authors:  Myron F Weiner
Journal:  Alzheimers Dement       Date:  2007-12-21       Impact factor: 21.566

  3 in total

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