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Multivariate Quantitative Genetics of Anthropometric Traits from the Boas Data

Bibliographic Data

ID19004820
AuthorsL W Konigsberg (0000-0003-4052-1575, corresponding author), Stephen D Ousley (0000-0001-8210-2665)
Year2009
Volume81
Issue5-6
Pages579-594
Publication date2009-10-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueHuman Biology (JOURNAL)
Journal identifiersISSN: 0018-7143 • E-ISSN: 1534-6617
PublisherProject MUSE (PUBLISHER • US)
DOI10.1353/hub.2009.a381870
OpenAlexW4379517874
LanguageEN
Citations received9
References cited5

The use of multivariate quantitative trait information to address questions of population relationships and evolutionary issues has a long-standing history in human anthropometry. Previous analyses have usually rested on a number of explicit or implicit assumptions that allow phenotypic information to be used as a proxy for quantitative genetic information. One (usually implicit) assumption is that the additive genetic variance-covariance matrix (G) among traits is proportional to the phenotypic variance-covariance matrix (P). In this study we discuss the implications of this assumption, demonstrating that if it is true that G = h2P, where h2 is some constant of proportionality, then (1) the biological (phenotypic) Mahalanobis distance will be proportional to genetic distance, (2) phenotypic and genetic allometry coefficients will be equal, and (3) evolutionary models will become simplified. We then use a multivariate quantitative genetic analysis of 12 anthropometric traits in 5 tribes to demonstrate that G = h2P for at least a portion of the Boas data

Anthropometry · Biology · Covariance · Covariance matrix · Evolutionary biology · Gene · Genetic variation · Geography · Mahalanobis distance · Multivariate analysis · Multivariate statistics · Population · Quantitative genetics · Quantitative trait locus · Statistics · Trait · Animal Behavior and Welfare Studies · Computer Science · Demography · Genetic and phenotypic traits in livestock · Genetics · Mathematics · Morphological variations and asymmetry

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Unique citing works9
Citations per year0,38
Citation span2002 - 2020 (19)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 8

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