ArticleGenetics2018
Detecting Polygenic Adaptation in Admixture Graphs.
Article in Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
55 citing papers in PubMed.
- Using drift coefficients as a basis for inferring times, effective population sizes, and genetic adaptations.Molecular biology and evolution · 2026Article
- Article
- Article
- Evaluating ARG-estimation methods in the context of estimating population-mean polygenic score histories.Genetics · 2025Article
- Leveraging graphical model techniques to study evolution on phylogenetic networks.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Article
- Evaluating ARG-estimation methods in the context of estimating population-mean polygenic score histories.bioRxiv : the preprint server for biology · 2024Article
- Confronting the "Weaponization" of Genetics by Racists Online and Elsewhere.The Hastings Center report · 2024Article
- Article
- Polygenic selection to a changing optimum under self-fertilisation.PLoS genetics · 2024Article
- A Path Integral Approach for Allele Frequency Dynamics Under Polygenic Selection.bioRxiv : the preprint server for biology · 2024Article
- Unveiling recent and ongoing adaptive selection in human populations.PLoS biology · 2024Article
- Genetic adaptations in the population history of Arabidopsis thaliana.G3 (Bethesda, Md.) · 2023Article
- Large-scale genome sequencing redefines the genetic footprints of high-altitude adaptation in Tibetans.Genome biology · 2023Article
- Ghat: an R package for identifying adaptive polygenic traits.G3 (Bethesda, Md.) · 2023Article
- Mosaic patterns of selection in genomic regions associated with diverse human traits.PLoS genetics · 2022Article
- Testing the generalizability of ancestry-specific polygenic risk scores to predict prostate cancer in sub-Saharan Africa.Genome biology · 2022Article
- The genomic signatures of natural selection in admixed human populations.American journal of human genetics · 2022Article
- Revisiting the malaria hypothesis: accounting for polygenicity and pleiotropy.Trends in parasitology · 2022Review
- Exploratory analysis of multi-trait coadaptations in light of population history.Ecology and evolution · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
An open question in human evolution is the importance of polygenic adaptation: adaptive changes in the mean of a multifactorial trait due to shifts in allele frequencies across many loci. In recent years, several methods have been developed to detect polygenic adaptation using loci identified in genome-wide association studies (GWAS). Though powerful, these methods suffer from limited interpretability: they can detect which sets of populations have evidence for polygenic adaptation, but are unable to reveal where in the history of multiple populations these processes occurred. To address this, we created a method to detect polygenic adaptation in an admixture graph, which is a representation of the historical divergences and admixture events relating different populations through time. We developed a Markov chain Monte Carlo (MCMC) algorithm to infer branch-specific parameters reflecting the strength of selection in each branch of a graph. Additionally, we developed a set of summary statistics that are fast to compute and can indicate which branches are most likely to have experienced polygenic adaptation. We show via simulations that this method-which we call PolyGraph-has good power to detect polygenic adaptation, and applied it to human population genomic data from around the world. We also provide evidence that variants associated with several traits, including height, educational attainment, and self-reported unibrow, have been influenced by polygenic adaptation in different populations during human evolution.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.