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1 January 2017 The Genomic Health of Ancient Hominins
Ali J. Berens, Taylor L. Cooper, Joseph Lachance
Author Affiliations +
Abstract

The genomes of ancient humans, Neandertals, and Denisovans contain many alleles that influence disease risks. Using genotypes at 3,180 disease-associated loci, we estimated the disease burden of 147 ancient genomes. After correcting for missing data, genetic risk scores (GRS) were generated for nine disease categories and the set of all combined diseases. We used these genetic risk scores to examine the effects of different types of subsistence, geography, and sample age on the number of risk alleles in each ancient genome. On a broad scale, hereditary disease risks are similar for ancient hominins and modern-day humans, and the GRS percentiles of ancient individuals span the full range of what is observed in present-day individuals. In addition, there is evidence that ancient pastoralists may have had healthier genomes than hunter-gatherers and agriculturalists. We also observed a temporal trend whereby genomes from the recent past are more likely to be healthier than genomes from the deep past. This calls into question the idea that modern lifestyles have caused genetic load to increase over time. Focusing on individual genomes, we found that the overall genomic health of the Altai Neandertal is worse than 97% of present-day humans and that Ötzi, the Tyrolean Iceman, had a genetic predisposition for gastrointestinal and cardiovascular diseases. As demonstrated by this work, ancient genomes afford us new opportunities to diagnose past human health, which has previously been limited by the quality and completeness of remains.

© 2018 Wayne State University Press, Detroit, Michigan 48201
Ali J. Berens, Taylor L. Cooper, and Joseph Lachance "The Genomic Health of Ancient Hominins," Human Biology 89(1), 7-19, (1 January 2017). https://doi.org/10.13110/humanbiology.89.1.01
Received: 1 February 2017; Accepted: 1 May 2017; Published: 1 January 2017
KEYWORDS
ancient DNA
genetic disease risks
Human evolution
population genetics
predictive health
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