ReviewMolecular ecology2016
Fifteen years of genomewide scans for selection: trends, lessons and unaddressed genetic sources of complication.
Review in Molecular ecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 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
62 citing papers in PubMed.
- Dissecting Fluctuating Selection: A Unified Population and Quantitative Genetics Framework.Genome biology and evolution · 2026Article
- Divergent habitat selection across many loci maintains species boundaries during introgression.bioRxiv : the preprint server for biology · 2026Article
- SLiM 5: Eco-evolutionary Simulations Across Multiple Chromosomes and Full Genomes.Molecular biology and evolution · 2026Article
- Genome-wide selective sweep analysis in high-altitude Changthangi goats reveals candidate genes for pashmina fiber production.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Genomic insights on conservation priorities for North Sea houting and European lake whitefish (Coregonus spp.).Molecular ecology · 2025Article
- Genetic mapping and haplotype analysis identify novel candidate genes for high night temperature tolerance in winter wheat.The plant genome · 2025Article
- Urban Life Shapes Genetic Diversity in the Green Anole, Anolis carolinensis.Molecular ecology · 2025Article
- Adaptation in a keystone grazer under novel predation pressure.Proceedings. Biological sciences · 2025Article
- Fitness landscapes of human microsatellites.PLoS genetics · 2024Article
- Genomic and Epigenomic Influences on Resilience across Scales: Lessons from the Responses of Fish to Environmental Stressors.Integrative and comparative biology · 2024Review
- Genomic signatures of climate adaptation in bank voles.Ecology and evolution · 2024Article
- Signatures of selection in Angus and Hanwoo beef cattle using imputed whole genome sequence data.Frontiers in genetics · 2024Article
- Genetic depletion does not prevent rapid evolution in island-introduced lizards.Ecology and evolution · 2023Article
- Mutation and selection processes regulating short tandem repeats give rise to genetic and phenotypic diversity across species.Journal of evolutionary biology · 2023Review
- The genomic scale of fluctuating selection in a natural plant population.Evolution letters · 2022Article
- Genome-wide signatures of synergistic epistasis during parallel adaptation in a Baltic Sea copepod.Nature communications · 2022Article
- Breeding of African sheep reared under low-input/output smallholder production systems for trypanotolerance.Veterinary world · 2022Review
- Genomic Signatures of a Major Adaptive Event in the Pathogenic Fungus Melampsora larici-populina.Genome biology and evolution · 2022Article
- Prospects for genomic surveillance for selection in schistosome parasites.Frontiers in epidemiology · 2022Review
- Article
2 more citing papers are in PubMed but not listed here.
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Abstract
Genomewide scans for natural selection (GWSS) have become increasingly common over the last 15 years due to increased availability of genome-scale genetic data. Here, we report a representative survey of GWSS from 1999 to present and find that (i) between 1999 and 2009, 35 of 49 (71%) GWSS focused on human, while from 2010 to present, only 38 of 83 (46%) of GWSS focused on human, indicating increased focus on nonmodel organisms; (ii) the large majority of GWSS incorporate interpopulation or interspecific comparisons using, for example F(ST), cross-population extended haplotype homozygosity or the ratio of nonsynonymous to synonymous substitutions; (iii) most GWSS focus on detection of directional selection rather than other modes such as balancing selection; and (iv) in human GWSS, there is a clear shift after 2004 from microsatellite markers to dense SNP data. A survey of GWSS meant to identify loci positively selected in response to severe hypoxic conditions support an approach to GWSS in which a list of a priori candidate genes based on potential selective pressures are used to filter the list of significant hits a posteriori. We also discuss four frequently ignored determinants of genomic heterogeneity that complicate GWSS: mutation, recombination, selection and the genetic architecture of adaptive traits. We recommend that GWSS methodology should better incorporate aspects of genomewide heterogeneity using empirical estimates of relevant parameters and/or realistic, whole-chromosome simulations to improve interpretation of GWSS results. Finally, we argue that knowledge of potential selective agents improves interpretation of GWSS results and that new methods focused on correlations between environmental variables and genetic variation can help automate this approach.
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