ReviewFrontiers in genetics2021
Quantitative Human Paleogenetics: What can Ancient DNA Tell us About Complex Trait Evolution?
Review in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed, 30 citations in OpenAlex.
- Ancient DNA and Human Physiology.Physiology (Bethesda, Md.) · 2026Review
- Temporal shifts in polygenic traits track major epidemics in Western Eurasia.bioRxiv : the preprint server for biology · 2026Article
- Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives.Genes · 2026Review
- Natural selection acting on complex traits hampers the predictive accuracy of polygenic scores in ancient samples.American journal of human genetics · 2025Article
- Genetic Risk Scores for the Clinical Rheumatologist.Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases · 2025Review
- Natural selection acting on complex traits hampers the predictive accuracy of polygenic scores in ancient samples.bioRxiv : the preprint server for biology · 2024Article
- Heritability of complex traits in sub-populations experiencing bottlenecks and growth.Journal of human genetics · 2024Article
- More than a decade of genetic research on the Denisovans.Nature reviews. Genetics · 2024Review
- Onco-Breastomics: An Eco-Evo-Devo Holistic Approach.International journal of molecular sciences · 2024Review
- Genetic history of Cambridgeshire before and after the Black Death.Science advances · 2024Article
- G-quadruplexes in the evolution of hepatitis B virus.Nucleic acids research · 2023Article
- Article
- Missing data in bioarchaeology II: A test of ordinal and continuous data imputation.American journal of biological anthropology · 2022Article
- Predicting Archaic Hominin Phenotypes from Genomic Data.Annual review of genomics and human genetics · 2022Review
- Population differentiation of polygenic score predictions under stabilizing selection.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Review
- An integrative skeletal and paleogenomic analysis of stature variation suggests relatively reduced health for early European farmers.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Tracing the Evolution of Human Gene Regulation and Its Association with Shifts in Environment.Genome biology and evolution · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.