Rosenstock, E. | bioRxiv Science

bioRxiv2023

Socio-cultural practices affect sexual dimorphism in stature in Early Neolithic Europe

AbstractThe rules and structure of human culture impact health and disease as much as genetics or the natural environment. To study the origin and evolution of these patterns, we take a multidisciplinary approach combining ancient DNA, skeletal metrics, paleopathology, and stable isotopes. Our analysis focuses on cultural, environmental, and genetic contributions to variation in stature in four populations of Early Neolithic Europe. In Central Europe, low female stature is likely due to male preference in resource allocation under conditions of stress. In contrast, shorter male stature in Mediterranean populations may reflect a lack of preference. Our analysis suggests that biological consequences of sex-specific inequities can be linked to culture as early as 7000 years before present. Understanding these patterns is key to interpreting the evolution of genetic and socio-cultural determinants of health, and our results show that culture, more than environment or genetics, drove height disparities in Early Neolithic Europe.

genetics↗

bioRxiv2021

Predicting skeletal stature using ancient DNA

ObjectivesAncient DNA provides an opportunity to separate the genetic and environmental bases of complex traits by allowing direct estimation of genetic values in ancient individuals. Here, we test whether genetic scores for height in ancient individuals are predictive of their actual height, as inferred from skeletal remains. We estimate the contributions of genetic and environmental variables to observed phenotypic variation as a first step towards quantifying individual sources of morphological variation. Materials and MethodsWe collected stature estimates and femur lengths from West Eurasian skeletal remains with published genome-wide ancient DNA data (n=167, dating from 33,000-850 BP). We also recorded genetic sex, genetic ancestry, date and paleoclimate data for each individual, and{delta} 13C and{delta} 15N stable isotope values where available (n=67). ResultsA polygenic score (PRS) for height predicts 6.8% of the variance in femur length in our data (n=117, SD=0.0068%, p<0.001), controlling for sex, ancestry, and date. This is consistent with the predictive power of height PRS in present-day populations and the low coverage of ancient samples. Comparatively, sex explains about 15% of the variance in femur length in our sample. Environmental effects also likely play a role in variation, independent of genetics, though with considerable uncertainty (longitude: R2=0.0317, SD=0.009, p=0.019). DiscussionPolygenic scores explain a small but significant proportion of the variance in height in ancient individuals, though not enough to make useful predictions of individual phenotypes. However, environmental variables also contribute to phenotypic outcomes and understanding their interaction with direct genetic predictions will provide a framework with which to model how plasticity and genetic changes ultimately combine to drive adaptation and evolution.

evolutionary biology↗