ReviewTrends in genetics : TIG2020
From Summary Statistics to Gene Trees: Methods for Inferring Positive Selection.
Review in Trends in genetics : TIG, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- AI solutions for evolutionary genomics of nonmodel species.Evolution letters · 2026Review
- Recent advances in methods to characterize archaic introgression in modern humans.Genome research · 2026Review
- The promise and challenge of spatial inference with the full ancestral recombination graph under Brownian motion.G3 (Bethesda, Md.) · 2025Article
- Fast and Memory-Efficient Dynamic Programming Approach for Large-Scale EHH-Based Selection Scans.Molecular biology and evolution · 2025Article
- Fast and Memory-Efficient Dynamic Programming Approach for Large-Scale EHH-Based Selection Scans.bioRxiv : the preprint server for biology · 2025Article
- LCORL and STC2 Variants Increase Body Size and Growth Rate in Cattle and Other Animals.Genomics, proteomics & bioinformatics · 2025Article
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- Inference and applications of ancestral recombination graphs.Nature reviews. Genetics · 2025Review
- HaploSweep: Detecting and Distinguishing Recent Soft and Hard Selective Sweeps through Haplotype Structure.Molecular biology and evolution · 2024Article
- Article
- A general and efficient representation of ancestral recombination graphs.bioRxiv : the preprint server for biology · 2024Article
- Unveiling recent and ongoing adaptive selection in human populations.PLoS biology · 2024Article
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- Molecular adaptations during viral epidemics.EMBO reports · 2022Review
- Neural networks for self-adjusting mutation rate estimation when the recombination rate is unknown.PLoS computational biology · 2022Article
- Human pathogenic RNA viruses establish noncompeting lineages by occupying independent niches.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
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- A Deep-Learning Approach for Inference of Selective Sweeps from the Ancestral Recombination Graph.Molecular biology and evolution · 2022Article
- A selection pressure landscape for 870 human polygenic traits.Nature human behaviour · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Methods to detect signals of natural selection from genomic data have traditionally emphasized the use of simple summary statistics. Here, we review a new generation of methods that consider combinations of conventional summary statistics and/or richer features derived from inferred gene trees and ancestral recombination graphs (ARGs). We also review recent advances in methods for population genetic simulation and ARG reconstruction. Finally, we describe opportunities for future work on a variety of related topics, including the genetics of speciation, estimation of selection coefficients, and inference of selection on polygenic traits. Together, these emerging methods offer promising new directions in the study of natural selection.
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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 OpenQuestion graph.