Literature DB >> 16552732

Maximum likelihood estimation of human craniometric heritabilities.

E Ann Carson1.   

Abstract

This study presents univariate narrow-sense heritability estimates for 33 common craniometric dimensions, calculated using the maximum likelihood variance components method on a skeletal sample of 298 pedigreed individuals from Hallstatt, Austria. Quantitative genetic studies that use skeletal cranial measurements as a basis for inferring microevolutionary processes in human populations usually employ heritability estimates to represent the genetic variance of the population. The heritabilities used are often problematic: most come from studies of living humans, and/or they were calculated using statistical techniques or assumptions violated by human groups. Most bilateral breadth measures in the current study show low heritability estimates, while cranial length and height measures have heritability values ranging between 0.102-0.729. There appear to be differences between the heritabilities calculated from crania and those from anthropometric studies of living humans, suggesting that the use of the latter in quantitative genetic models of skeletal data may be inappropriate. The univariate skeletal heritability estimates seem to group into distinct regions of the cranium, based on their relative values. The most salient group of measurements is for the midfacial/orbital region, with a number of measures showing heritabilities less than 0.30. Several possible reasons behind this pattern are examined. Given the fact that heritabilities calculated on one population should not be applied to others, suggestions are made for the use of the data presented.

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Year:  2006        PMID: 16552732     DOI: 10.1002/ajpa.20424

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


  27 in total

1.  Heritability of human cranial dimensions: comparing the evolvability of different cranial regions.

Authors:  Neus Martínez-Abadías; Mireia Esparza; Torstein Sjøvold; Rolando González-José; Mauro Santos; Miquel Hernández
Journal:  J Anat       Date:  2009-01       Impact factor: 2.610

2.  Heritability of Face Shape in Twins: A Preliminary Study using 3D Stereophotogrammetry and Geometric Morphometrics.

Authors:  Seth M Weinberg; Trish E Parsons; Mary L Marazita; Brion S Maher
Journal:  Dent 3000       Date:  2013

3.  Human Facial Shape and Size Heritability and Genetic Correlations.

Authors:  Joanne B Cole; Mange Manyama; Jacinda R Larson; Denise K Liberton; Tracey M Ferrara; Sheri L Riccardi; Mao Li; Washington Mio; Ophir D Klein; Stephanie A Santorico; Benedikt Hallgrímsson; Richard A Spritz
Journal:  Genetics       Date:  2016-12-14       Impact factor: 4.562

4.  Temporomandibular Joint Condyle-Disc Morphometric Sexual Dimorphisms Independent of Skull Scaling.

Authors:  Matthew C Coombs; Xin She; Truman R Brown; Elizabeth H Slate; Janice S Lee; Hai Yao
Journal:  J Oral Maxillofac Surg       Date:  2019-04-25       Impact factor: 1.895

5.  Unconstrained cranial evolution in Neandertals and modern humans compared to common chimpanzees.

Authors:  Timothy D Weaver; Chris B Stringer
Journal:  Proc Biol Sci       Date:  2015-10-22       Impact factor: 5.349

6.  Close correspondence between quantitative- and molecular-genetic divergence times for Neandertals and modern humans.

Authors:  Timothy D Weaver; Charles C Roseman; Chris B Stringer
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-17       Impact factor: 11.205

7.  Genetic variation in baboon craniofacial sexual dimorphism.

Authors:  Katherine E Willmore; Charles C Roseman; Jeffrey Rogers; Joan T Richtsmeier; James M Cheverud
Journal:  Evolution       Date:  2009-02-03       Impact factor: 3.694

8.  Additive genetic variation in the craniofacial skeleton of baboons (genus Papio) and its relationship to body and cranial size.

Authors:  Jessica L Joganic; Katherine E Willmore; Joan T Richtsmeier; Kenneth M Weiss; Michael C Mahaney; Jeffrey Rogers; James M Cheverud
Journal:  Am J Phys Anthropol       Date:  2017-11-20       Impact factor: 2.868

9.  Distance from Africa, not climate, explains within-population phenotypic diversity in humans.

Authors:  Lia Betti; François Balloux; William Amos; Tsunehiko Hanihara; Andrea Manica
Journal:  Proc Biol Sci       Date:  2009-03-07       Impact factor: 5.349

10.  The effect of ancient population bottlenecks on human phenotypic variation.

Authors:  Andrea Manica; William Amos; François Balloux; Tsunehiko Hanihara
Journal:  Nature       Date:  2007-07-19       Impact factor: 49.962

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