ArticleGenetics2020
Space is the Place: Effects of Continuous Spatial Structure on Analysis of Population Genetic Data.
Article in Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed.
- Effect of population structure and stabilizing selection on quantitative genetic variation.Genetics · 2026Article
- A Selective Sweep Likely Linked to Xenobiotic Detoxification Identified Along Altitudinal Gradients in the Pine Processionary Moth.Genome biology and evolution · 2026Article
- Genetic Variation Predominates Over Developmental Temperature-Induced Plasticity in Shaping Migratory Flight Capacity in the Diamondback Moth.Molecular ecology · 2026Article
- Spatial modelling improves genomic evaluation in Tanzanian smallholder admixed dairy cattle.Genetics, selection, evolution : GSE · 2026Article
- Article
- The History of the Panmictic Population Concept and Its Legacy in Contemporary Population Genetics.Annals of human genetics · 2025Article
- Study design and the sampling of deleterious rare variants in biobank-scale datasets.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Drivers of genetic diversity across the marine tree of life.bioRxiv : the preprint server for biology · 2025Article
- Sweeps in Space: Leveraging Geographic Data to Identify Beneficial Alleles in Anopheles gambiae.Molecular biology and evolution · 2025Article
- sandwrm: an R package for estimating Wright's neighborhood size and species-level genetic diversity.bioRxiv : the preprint server for biology · 2025Article
- Population Genetics Meets Ecology: A Guide to Individual-Based Simulations in Continuous Landscapes.Ecology and evolution · 2025Article
- A geographic history of human genetic ancestry.Science (New York, N.Y.) · 2025Article
- The origin, invasion history and resistance architecture ofbioRxiv : the preprint server for biology · 2025Article
- Ignoring population structure in hominin evolutionary models can lead to the inference of spurious admixture events.Nature ecology & evolution · 2025Article
- Establishment of a locally adaptive allele in multidimensional continuous space.G3 (Bethesda, Md.) · 2025Article
- Population size rescaling significantly biases outcomes of forward-in-time population genetic simulations.Genetics · 2025Article
- Resource-explicit interactions in spatial population models.Methods in ecology and evolution · 2024Article
- Unifying approaches from statistical genetics and phylogenetics for mapping phenotypes in structured populations.PLoS biology · 2024Article
- Notes from the taxonomic disaster zone: Evolutionary drivers of intractable species boundaries in an Australian lizard clade (Scincidae: Ctenotus).Molecular ecology · 2024Article
- Heterogeneous patterns of heterozygosity loss in isolated populations of the threatened eastern barred bandicoot (Perameles gunnii).Molecular ecology · 2024Article
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Authors and funding
3 authors.
Funding
Abstract
Real geography is continuous, but standard models in population genetics are based on discrete, well-mixed populations. As a result, many methods of analyzing genetic data assume that samples are a random draw from a well-mixed population, but are applied to clustered samples from populations that are structured clinally over space. Here, we use simulations of populations living in continuous geography to study the impacts of dispersal and sampling strategy on population genetic summary statistics, demographic inference, and genome-wide association studies (GWAS). We find that most common summary statistics have distributions that differ substantially from those seen in well-mixed populations, especially when Wright's neighborhood size is < 100 and sampling is spatially clustered. "Stepping-stone" models reproduce some of these effects, but discretizing the landscape introduces artifacts that in some cases are exacerbated at higher resolutions. The combination of low dispersal and clustered sampling causes demographic inference from the site frequency spectrum to infer more turbulent demographic histories, but averaged results across multiple simulations revealed surprisingly little systematic bias. We also show that the combination of spatially autocorrelated environments and limited dispersal causes GWAS to identify spurious signals of genetic association with purely environmentally determined phenotypes, and that this bias is only partially corrected by regressing out principal components of ancestry. Last, we discuss the relevance of our simulation results for inference from genetic variation in real organisms.
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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.