Investigating Mitonuclear Genetic Interactions Through Machine Learning: A Case Study on Cold Adaptation Genes in Human Populations From Different European Climate Regions

Investigating Mitonuclear Genetic Interactions Through Machine Learning: A Case Study on Cold Adaptation Genes in Human Populations From Different European Climate Regions

Cold climates represent one of the major environmental challenges that anatomically modern humans faced during their dispersal out of Africa. The related adaptive traits have been achieved by modulation of thermogenesis and thermoregulation processes where nuclear (nuc) and mitochondrial (mt) genes...

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Bibliographic Details
Main Authors: Alena Kalyakulina, Vincenzo Iannuzzi, Marco Sazzini, Paolo Garagnani, Sarika Jalan, Claudio Franceschi, Mikhail Ivanchenko, Cristina Giuliani
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Physiology
Subjects:
mitonuclear interactions
human populations
cold adaptation
machine learning
human ecology
human evolution
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2020.575968/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2020.575968/full

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