Lack of Evidence for Local Adaptation in Risk Tolerance: A Genetic Study in Northern Senegal
Year: 2026
Type: preprint
Study design: Observational Study
Abstract: Risk tolerance is influenced by both environmental and genetic factors and may be shaped by local selective pressures in hazardous environments. In Northern Senegal, fishermen from the village of Guet Ndar are chronically exposed to high occupational mortality risk, making this population a potential model for local adaptation to risky environments. In a previous study, we showed that men from this fishing community were less risk-tolerant than men from a nearby farming village, although this difference could not be explained by variation at the DRD4 locus. Here, we investigated whether genetic variants previously associated with general risk tolerance in large genome-wide association studies (GWAS) exhibit signals of local adaptation in these Senegalese populations. We genotyped 44 candidate SNPs in 373 individuals sampled from the risky fishing area and the non-risky farming area. Population genetic analyses revealed extremely low and non-significant differentiation between the two populations (mean FST = 0.0003, p = 0.33), indicating that the two groups are genetically indistinguishable at these loci. Furthermore, none of the candidate SNPs showed a significant association with experimentally measured risk tolerance after correction for multiple testing. These results provide no evidence that local adaptation for risky behavior has occurred, several explanations may account for this negative result.
Institutions: Centre National de la Recherche Scientifique, Institut des Sciences de l'Evolution de Montpellier, Institut de Génétique Humaine, Institut de Recherche pour le Développement, Université Gaston Berger, Institute of Social and Economic Research, The University of Osaka, The University of Osaka, Université Alioune Diop de Bambey, Université de Bordeaux, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, UMR BIOdiversity, GEnes & Communities, École Polytechnique, Centre de Recherche en Économie et Statistique, Institut Agro Montpellier, Center for Environmental Economics - Montpellier
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7213532473