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Cross-cultural estimation of the human generation interval for use in genetics-based population divergence studies

Datos Bibliográficos

ID8320928
AutoresJ N Fenner (0000-0002-6857-9309, University of Wyoming, autor de correspondencia)
Año2005
Volumen128
Número2
Páginas415-423
Fecha de publicación2005-10-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaAmerican Journal of Physical Anthropology (JOURNAL)
Identificadores de la revistaISSN: 0002-9483 • E-ISSN: 1096-8644
EditorialWiley (PUBLISHER • GB)
DOI10.1002/ajpa.20188
PMID15795887
OpenAlexW2084407487
IdiomaEN
Citas recibidas78
Referencias citadas49

The length of the human generation interval is a key parameter when using genetics to date population divergence events. However, no consensus exists regarding the generation interval length, and a wide variety of interval lengths have been used in recent studies. This makes comparison between studies difficult, and questions the accuracy of divergence date estimations. Recent genealogy-based research suggests that the male generation interval is substantially longer than the female interval, and that both are greater than the values commonly used in genetics studies. This study evaluates each of these hypotheses in a broader cross-cultural context, using data from both nation states and recent hunter-gatherer societies. Both hypotheses are supported by this study; therefore, revised estimates of male, female, and overall human generation interval lengths are proposed. The nearly universal, cross-cultural nature of the evidence justifies using these proposed estimates in Y-chromosomal, mitochondrial, and autosomal DNA-based population divergence studies

Biology · Combinatorics · Confidence interval · Context (archaeology) · Divergence (linguistics) · Estimation · Evolutionary biology · Genealogy · Interval (graph theory) · Interval estimation · Population · Population genetics · Sociology · Statistics · Demography · Evolutionary Psychology and Human Behavior · Forensic and Genetic Research · Genetics · History · Mathematics · Race, Genetics, and Society

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