Indirect evidence for the genetic determination of short stature in African Pygmies
Open accessAbstract
Central African Pygmy populations are known to be the shortest human populations worldwide. Many evolutionary hypotheses have been proposed to explain this short stature: adaptation to food limitations, climate, forest density, or high mortality rates. However, such hypotheses are difficult to test given the lack of long‐term surveys and demographic data. Whether the short stature observed nowadays in African Pygmy populations as compared to their Non‐Pygmy neighbors is determined by genetic factors remains widely unknown. Here, we study a uniquely large new anthropometrical dataset comprising more than 1,000 individuals from 10 Central African Pygmy and neighboring Non‐Pygmy populations, categorized as such based on cultural criteria rather than height. We show that climate, or forest density may not play a major role in the difference in adult stature between existing Pygmies and Non‐Pygmies, without ruling out the hypothesis that such factors played an important evolutionary role in the past. Furthermore, we analyzed the relationship between stature and neutral genetic variation in a subset of 213 individuals and found that the Pygmy individuals' stature was significantly positively correlated with levels of genetic similarity with the Non‐Pygmy gene‐pool for both men and women. Overall, we show that a Pygmy individual exhibiting a high level of genetic admixture with the neighboring Non‐Pygmies is likely to be taller. These results show for the first time that the major morphological difference in stature found between Central African Pygmy and Non‐Pygmy populations is likely determined by genetic factors. Am J Phys Anthropol, 2011. © 2011 Wiley‐Liss, Inc.
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Genomic admixture analysis has proven useful for investigating the causes of group differences in a variety of traits.
“Genomic admixture analysis has already proven to be a useful technique for investigating the causes of group differences in a variety of traits.”
From Global Ancestry and Cognitive Ability (2019) · cites this paper as [32]
The Conclusions (page not specified) report that genetic admixture estimates correlated with stature among African Pygmy individuals, supporting the technique’s usefulness for investigating one group difference. Our copy does not establish its usefulness for a variety of traits. (LLM, conf=0.86)
Experimental — accuracy not yet measuredAmong Central African Pygmies, non-Pygmy admixture was associated with greater height.
“For example, Becker et al. (2011) [32] found that among Central African Pygmies, non-Pygmy admixture was associated with greater height.”
From Global Ancestry and Cognitive Ability (2019) · cites this paper as [32]
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Adaptive, convergent origins of the pygmy phenotype in African rainforest hunter-gatherers
Perry, G. H., Foll, M., Grenier, J.-C., Patin, E., Nédélec, Y., Pacis, A., Barakatt, M., Gravel, S., Zhou, X., Nsobya, S. L., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1402875111 · Cited by 105 · see citing works
Global Ancestry and Cognitive Ability
Lasker, J., Pesta, B. J., Fuerst, J. G. R., & Kirkegaard, E. O. W. (2019) · Psych · doi:10.3390/psych1010034 · Cited by 32 · see citing works
“For example, Becker et al. (2011) [32] found that among Central African Pygmies, non-Pygmy admixture was associated with greater height.”
BackgroundBiogeographic Ancestry, Cognitive Ability and Socioeconomic Outcomes
Kirkegaard, E., Woodley of Menie, M., Williams, R., Fuerst, J., & Meisenberg, G. (2019) · Psych · doi:10.3390/psych1010001 · Cited by 25 · see citing works
- Authors
- Becker, N. S. A., Verdu, P., Froment, A., Le Bomin, S., Pagezy, H., Bahuchet, S., & Heyer, E.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- University of Michigan (US)
- Institut de Recherche pour le Développement (FR)
- Corresponding author
- Becker, Noémie S.A.
- Venue
- American Journal of Physical Anthropology
- Publisher
- Wiley
- Published
- 2011-05-03
- Volume
- 145
- Issue
- 3
- Pages
- 390-401
- ISSN
- 0002-9483 (ISSN-L)
- 1096-8644
- OpenAlex
- W2032445644
- Cited by
- 64
- References
- 1
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 4 · 2022: 4 · 2021: 4 · 2020: 4 · 2019: 4 · 2018: 9 · 2017: 2 · 2016: 3 · 2015: 4 · 2014: 3 · 2013: 9 · 2012: 7
- FWCI
- 4.19
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- American Journal of Physical Anthropology (publishedVersion)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- HAL (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Social Sciences › Arts and Humanities › Archeology › Forensic Anthropology and Bioarchaeology Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- short stature, genetic admixture, genetic similarity, anthropometry, climate change adaptation, forest density, adaptive evolution
- MeSH terms
- Adult, Africa, Central, Analysis of Variance, Body Height, Female, Genetics, Population, Geography, Humans, Male, Cluster Analysis, Case-Control Studies, Computational Biology, Black People
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