Literature DB >> 14655871

Human genetic diversity and the nonexistence of biological races.

Jeffrey C Long1, Rick A Kittles.   

Abstract

Sewall Wright's population structure statistic, F(ST), measured among samples of world populations is often 15% or less. This would indicate that 85% of genetic variation occurs within groups while only 15% can be attributed to allele frequency differences among groups. In this paper, we show that this low value reflects strong biases that result from violating hidden assumptions that define F(ST). These limitations on F(ST) are demonstrated algebraically and in the context of analyzing dinucleotide repeat allele frequencies for a set of eight loci genotyped in eight human groups and in chimpanzees. In our analyses, estimates of F(ST) fail to identify important variation. For example, when the analysis includes only humans, F(ST) = 0.119, but adding the chimpanzees increases it only a little, F(ST) = 0.183. By relaxing the underlying statistical assumptions, the results for chimpanzees become consistent with common knowledge, and we see a richer pattern of human genetic diversity. Some human groups are far more diverged than would be implied by standard computations of F(ST), while other groups are much less diverged. We discuss the relevance of these findings to the application of biological race concepts to humans. Four different race concepts are considered: typological, population, taxonomic, and lineage. Surprisingly, a great deal of genetic variation within groups is consistent with each of these concepts. However, none of the race concepts is compatible with the patterns of variation revealed by our analyses.

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Mesh:

Year:  2003        PMID: 14655871     DOI: 10.1353/hub.2003.0058

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  37 in total

1.  Rejection of a serial founder effects model of genetic and linguistic coevolution.

Authors:  Keith Hunley; Claire Bowern; Meghan Healy
Journal:  Proc Biol Sci       Date:  2012-02-01       Impact factor: 5.349

Review 2.  A population-genetic perspective on the similarities and differences among worldwide human populations.

Authors:  Noah A Rosenberg
Journal:  Hum Biol       Date:  2011-12       Impact factor: 0.553

3.  The relationship between homozygosity and the frequency of the most frequent allele.

Authors:  Noah A Rosenberg; Mattias Jakobsson
Journal:  Genetics       Date:  2008-08-09       Impact factor: 4.562

4.  Under the skin: using theories from biology and the social sciences to explore the mechanisms behind the black-white health gap.

Authors:  Tiffany L Green; William A Darity
Journal:  Am J Public Health       Date:  2010-02-10       Impact factor: 9.308

5.  Mathematical Constraints on FST: Biallelic Markers in Arbitrarily Many Populations.

Authors:  Nicolas Alcala; Noah A Rosenberg
Journal:  Genetics       Date:  2017-05-05       Impact factor: 4.562

6.  Biological races in humans.

Authors:  Alan R Templeton
Journal:  Stud Hist Philos Biol Biomed Sci       Date:  2013-05-16

7.  Upper bounds on FST in terms of the frequency of the most frequent allele and total homozygosity: the case of a specified number of alleles.

Authors:  Michael D Edge; Noah A Rosenberg
Journal:  Theor Popul Biol       Date:  2014-08-14       Impact factor: 1.570

8.  Mixed Race: Understanding Difference in the Genome Era.

Authors:  Elizabeth M Phillips; Adebola O Odunlami; Vence L Bonham
Journal:  Soc Forces       Date:  2007-12

9.  A Qualitative Analysis of How Anthropologists Interpret the Race Construct.

Authors:  Jayne O Ifekwunigwe; Jennifer K Wagner; Joon-Ho Yu; Tanya M Harrell; Michael J Bamshad; Charmaine D Royal
Journal:  Am Anthropol       Date:  2017-08-14

10.  Race and ancestry in biomedical research: exploring the challenges.

Authors:  Timothy Caulfield; Stephanie M Fullerton; Sarah E Ali-Khan; Laura Arbour; Esteban G Burchard; Richard S Cooper; Billie-Jo Hardy; Simrat Harry; Robyn Hyde-Lay; Jonathan Kahn; Rick Kittles; Barbara A Koenig; Sandra Sj Lee; Michael Malinowski; Vardit Ravitsky; Pamela Sankar; Stephen W Scherer; Béatrice Séguin; Darren Shickle; Guilherme Suarez-Kurtz; Abdallah S Daar
Journal:  Genome Med       Date:  2009-01-21       Impact factor: 11.117

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