ReviewCurrent opinion in genetics & development2014
Adaptations to local environments in modern human populations.
Review in Current opinion in genetics & development, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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
39 citing papers in PubMed.
- Present-day Admixed Genomes Reveal Prehistoric Adaptation to Cold, Maritime Diet, and Local Pathogens in Patagonia.Genome biology and evolution · 2026Article
- Artificial selection for resistance to copper and off-target physiological and behavioral effects inbioRxiv : the preprint server for biology · 2025Article
- Comparative transcriptomics of iPSC-derived cardiomyocytes in a high and a low altitude population.bioRxiv : the preprint server for biology · 2025Article
- Population genomics advances in frontier ethnic minorities in China.Science China. Life sciences · 2025Review
- Transcriptomic analysis of iPSC-derived endothelium reveals adaptations to high altitude hypoxia in energy metabolism and inflammation.PLoS genetics · 2025Article
- Comprehensive whole-genome resequencing unveils genetic diversity and selective signatures of the Xiangdong black goat.Frontiers in genetics · 2024Article
- PopTradeOff: A database for exploring population-specificity of adaptive evolution, disease susceptibility, and drug responsiveness.Computational and structural biotechnology journal · 2023Article
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- Review
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- Selective sweep for an enhancer involucrin allele identifies skin barrier adaptation out of Africa.Nature communications · 2021Article
- Altitude and the distributional typology of language structure: Ejectives and beyond.PloS one · 2021Article
- Positive Selection in Gene Regulatory Factors Suggests Adaptive Pleiotropic Changes During Human Evolution.Frontiers in genetics · 2021Article
- Efficient DNA sequence compression with neural networks.GigaScience · 2020Article
- Genetic architecture of a body colour cline in Drosophila americana.Molecular ecology · 2020Article
- In the presence of population structure: From genomics to candidate genes underlying local adaptation.Ecology and evolution · 2020Article
- The Evolutionary History of Human Skin Pigmentation.Journal of molecular evolution · 2020Review
- Stress response, behavior, and development are shaped by transposable element-induced mutations in Drosophila.PLoS genetics · 2019Article
- Interpreting polygenic scores, polygenic adaptation, and human phenotypic differences.Evolution, medicine, and public health · 2019Review
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Corrections and comments
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Authors and funding
2 authors.
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Abstract
After leaving sub-Saharan Africa around 50000-100000 years ago, anatomically modern humans have quickly occupied extremely diverse environments. Human populations were exposed to further environmental changes resulting from cultural innovations, such as the spread of farming, which gave rise to new selective pressures related to pathogen exposures and dietary shifts. In addition to changing the frequency of individual adaptive alleles, natural selection may also shape the overall genetic architecture of adaptive traits. Here, we review recent advances in understanding the genetic architecture of adaptive human phenotypes based on insights from the studies of lactase persistence, skin pigmentation and high-altitude adaptation. These adaptations evolved in parallel in multiple human populations, providing a chance to investigate independent realizations of the evolutionary process. We suggest that the outcome of adaptive evolution is often highly variable even under similar selective pressures. Finally, we highlight a growing need for detecting adaptations that did not follow the classical sweep model and for incorporating new sources of genetic evidence such as information from ancient DNA.
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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 OpenQuestion graph.