Quantitative Human Paleogenetics: What can Ancient DNA Tell us About Complex Trait Evolution?

Research output: Contribution to journalReviewpeer-review

Standard

Quantitative Human Paleogenetics : What can Ancient DNA Tell us About Complex Trait Evolution? / Irving-Pease, Evan K.; Muktupavela, Rasa; Dannemann, Michael; Racimo, Fernando.

In: Frontiers in Genetics, Vol. 12, 703541, 2021.

Research output: Contribution to journalReviewpeer-review

Harvard

Irving-Pease, EK, Muktupavela, R, Dannemann, M & Racimo, F 2021, 'Quantitative Human Paleogenetics: What can Ancient DNA Tell us About Complex Trait Evolution?', Frontiers in Genetics, vol. 12, 703541. https://doi.org/10.3389/fgene.2021.703541

APA

Irving-Pease, E. K., Muktupavela, R., Dannemann, M., & Racimo, F. (2021). Quantitative Human Paleogenetics: What can Ancient DNA Tell us About Complex Trait Evolution? Frontiers in Genetics, 12, [703541]. https://doi.org/10.3389/fgene.2021.703541

Vancouver

Irving-Pease EK, Muktupavela R, Dannemann M, Racimo F. Quantitative Human Paleogenetics: What can Ancient DNA Tell us About Complex Trait Evolution? Frontiers in Genetics. 2021;12. 703541. https://doi.org/10.3389/fgene.2021.703541

Author

Irving-Pease, Evan K. ; Muktupavela, Rasa ; Dannemann, Michael ; Racimo, Fernando. / Quantitative Human Paleogenetics : What can Ancient DNA Tell us About Complex Trait Evolution?. In: Frontiers in Genetics. 2021 ; Vol. 12.

Bibtex

@article{9576e12abffd412b9f40da41ee6209b0,
title = "Quantitative Human Paleogenetics: What can Ancient DNA Tell us About Complex Trait Evolution?",
abstract = "Genetic association data from national biobanks and large-scale association studies have provided new prospects for understanding the genetic evolution of complex traits and diseases in humans. In turn, genomes from ancient human archaeological remains are now easier than ever to obtain, and provide a direct window into changes in frequencies of trait-associated alleles in the past. This has generated a new wave of studies aiming to analyse the genetic component of traits in historic and prehistoric times using ancient DNA, and to determine whether any such traits were subject to natural selection. In humans, however, issues about the portability and robustness of complex trait inference across different populations are particularly concerning when predictions are extended to individuals that died thousands of years ago, and for which little, if any, phenotypic validation is possible. In this review, we discuss the advantages of incorporating ancient genomes into studies of trait-associated variants, the need for models that can better accommodate ancient genomes into quantitative genetic frameworks, and the existing limits to inferences about complex trait evolution, particularly with respect to past populations.",
keywords = "aDNA, complex traits, GWAS, paleogenetics, polygenic adaptation",
author = "Irving-Pease, {Evan K.} and Rasa Muktupavela and Michael Dannemann and Fernando Racimo",
note = "Publisher Copyright: {\textcopyright} Copyright {\textcopyright} 2021 Irving-Pease, Muktupavela, Dannemann and Racimo.",
year = "2021",
doi = "10.3389/fgene.2021.703541",
language = "English",
volume = "12",
journal = "Frontiers in Genetics",
issn = "1664-8021",
publisher = "Frontiers Media S.A.",

}

RIS

TY - JOUR

T1 - Quantitative Human Paleogenetics

T2 - What can Ancient DNA Tell us About Complex Trait Evolution?

AU - Irving-Pease, Evan K.

AU - Muktupavela, Rasa

AU - Dannemann, Michael

AU - Racimo, Fernando

N1 - Publisher Copyright: © Copyright © 2021 Irving-Pease, Muktupavela, Dannemann and Racimo.

PY - 2021

Y1 - 2021

N2 - Genetic association data from national biobanks and large-scale association studies have provided new prospects for understanding the genetic evolution of complex traits and diseases in humans. In turn, genomes from ancient human archaeological remains are now easier than ever to obtain, and provide a direct window into changes in frequencies of trait-associated alleles in the past. This has generated a new wave of studies aiming to analyse the genetic component of traits in historic and prehistoric times using ancient DNA, and to determine whether any such traits were subject to natural selection. In humans, however, issues about the portability and robustness of complex trait inference across different populations are particularly concerning when predictions are extended to individuals that died thousands of years ago, and for which little, if any, phenotypic validation is possible. In this review, we discuss the advantages of incorporating ancient genomes into studies of trait-associated variants, the need for models that can better accommodate ancient genomes into quantitative genetic frameworks, and the existing limits to inferences about complex trait evolution, particularly with respect to past populations.

AB - Genetic association data from national biobanks and large-scale association studies have provided new prospects for understanding the genetic evolution of complex traits and diseases in humans. In turn, genomes from ancient human archaeological remains are now easier than ever to obtain, and provide a direct window into changes in frequencies of trait-associated alleles in the past. This has generated a new wave of studies aiming to analyse the genetic component of traits in historic and prehistoric times using ancient DNA, and to determine whether any such traits were subject to natural selection. In humans, however, issues about the portability and robustness of complex trait inference across different populations are particularly concerning when predictions are extended to individuals that died thousands of years ago, and for which little, if any, phenotypic validation is possible. In this review, we discuss the advantages of incorporating ancient genomes into studies of trait-associated variants, the need for models that can better accommodate ancient genomes into quantitative genetic frameworks, and the existing limits to inferences about complex trait evolution, particularly with respect to past populations.

KW - aDNA

KW - complex traits

KW - GWAS

KW - paleogenetics

KW - polygenic adaptation

U2 - 10.3389/fgene.2021.703541

DO - 10.3389/fgene.2021.703541

M3 - Review

C2 - 34422004

AN - SCOPUS:85113185297

VL - 12

JO - Frontiers in Genetics

JF - Frontiers in Genetics

SN - 1664-8021

M1 - 703541

ER -

ID: 278281954