TY - JOUR
T1 - Evolutionary Trajectories of Complex Traits in European Populations of Modern Humans
AU - Kuijpers, Yunus
AU - Domínguez-Andrés, Jorge
AU - Bakker, Olivier B.
AU - Gupta, Manoj Kumar
AU - Grasshoff, Martin
AU - Xu, Cheng Jian
AU - Joosten, Leo A.B.
AU - Bertranpetit, Jaume
AU - Netea, Mihai G.
AU - Li, Yang
N1 - Funding Information:
MN was supported by an ERC Advanced Grant (833247) and a Spinoza Grant of the Netherlands Organization for Scientific Research. YL was supported by an ERC Starting Grant (948207) and the Radboud University Medical Centre Hypatia Grant (2018) for Scientific Research. JD-A. is supported by The Netherlands Organization for Scientific Research (VENI grant 09150161910024). JB was supported by PID 2019-110933GB-I00 (AEI/FEDER, UE) MINECO, Spain. C-JX was supported by the Helmholtz Initiative and Networking Fund (1800167).
Funding Information:
MN was supported by an ERC Advanced Grant (833247) and a Spinoza Grant of the Netherlands Organization for Scientific Research. YL was supported by an ERC Starting Grant (948207) and the Radboud University Medical Centre Hypatia Grant (2018) for Scientific Research. J.D-A was supported by Netherlands Organization for Scientific Research (VENI grant 09150161910024). JB was supported by PID 2019-110933GB-I00 (AEI/FEDER, UE) MINECO, Spain.
Publisher Copyright:
Copyright © 2022 Kuijpers, Domínguez-Andrés, Bakker, Gupta, Grasshoff, Xu, Joosten, Bertranpetit, Netea and Li.
PY - 2022/3/28
Y1 - 2022/3/28
N2 - Humans have a great diversity in phenotypes, influenced by genetic, environmental, nutritional, cultural, and social factors. Understanding the historical trends of physiological traits can shed light on human physiology, as well as elucidate the factors that influence human diseases. Here we built genome-wide polygenic scores for heritable traits, including height, body mass index, lipoprotein concentrations, cardiovascular disease, and intelligence, using summary statistics of genome-wide association studies in Europeans. Subsequently, we applied these scores to the genomes of ancient European populations. Our results revealed that after the Neolithic, European populations experienced an increase in height and intelligence scores, decreased their skin pigmentation, while the risk for coronary artery disease increased through a genetic trajectory favoring low HDL concentrations. These results are a reflection of the continuous evolutionary processes in humans and highlight the impact that the Neolithic revolution had on our lifestyle and health.
AB - Humans have a great diversity in phenotypes, influenced by genetic, environmental, nutritional, cultural, and social factors. Understanding the historical trends of physiological traits can shed light on human physiology, as well as elucidate the factors that influence human diseases. Here we built genome-wide polygenic scores for heritable traits, including height, body mass index, lipoprotein concentrations, cardiovascular disease, and intelligence, using summary statistics of genome-wide association studies in Europeans. Subsequently, we applied these scores to the genomes of ancient European populations. Our results revealed that after the Neolithic, European populations experienced an increase in height and intelligence scores, decreased their skin pigmentation, while the risk for coronary artery disease increased through a genetic trajectory favoring low HDL concentrations. These results are a reflection of the continuous evolutionary processes in humans and highlight the impact that the Neolithic revolution had on our lifestyle and health.
KW - complex traits
KW - evolution
KW - human genetics
KW - Neolithic revolution
KW - polygenic risk scores (PRS)
U2 - 10.3389/fgene.2022.833190
DO - 10.3389/fgene.2022.833190
M3 - Article
AN - SCOPUS:85128381175
SN - 1664-8021
VL - 13
JO - Frontiers in Genetics
JF - Frontiers in Genetics
M1 - 833190
ER -