ReviewNature genetics2007
The population genetics of structural variation.
Review in Nature genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.
What it found
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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.
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.
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Who cites it
125 citing papers in PubMed.
- From junk to deleterious: Natural subtelomeric repeat amplifications impact fitness and cellular phenotypes in yeast.bioRxiv : the preprint server for biology · 2026Article
- Mapping structural variants in Populus tomentosa reveals adaptive signatures and improves prediction of wood properties.Nature communications · 2026Article
- The genomic architecture of local adaptation in two connected populations of three-spined stickleback.G3 (Bethesda, Md.) · 2026Article
- Structural variation in context: mechanisms, functions and selection regimes across the tree of life.Heredity · 2026Article
- SVCROWS: a user-defined tool for interpreting significant structural variants in heterogeneous datasets.Nucleic acids research · 2026Article
- TEPEAK: A novel method for identifying and characterizing polymorphic transposable elements in non-model species populations.PLoS computational biology · 2026Article
- Article
- The Landscape of Structural Variation in Aye-Ayes (Daubentonia madagascariensis).Genome biology and evolution · 2025Article
- Diversity and consequences of structural variation in the human genome.Nature reviews. Genetics · 2025Review
- LYCEUM: learning to call copy number variants on low-coverage ancient genomes.Bioinformatics (Oxford, England) · 2025Article
- Article
- Population Genetic Structure of Three-Spined Sticklebacks in the St. Lawrence: A Gradient of Change.Ecology and evolution · 2025Article
- Inferring the Selective History of CNVs Using a Maximum Likelihood Model.Genome biology and evolution · 2025Article
- Genome-wide association testing beyond SNPs.Nature reviews. Genetics · 2025Review
- Article
- Low prevalence of copy number variation in pfmdr1 and pfpm2 in Plasmodium falciparum isolates from southern Angola.Malaria journal · 2025Article
- Population structure and migration in the Eastern Highlands of Papua New Guinea, a region impacted by the kuru epidemic.American journal of human genetics · 2024Article
- Structural Variants and Speciation: Multiple Processes at Play.Cold Spring Harbor perspectives in biology · 2024Review
- Exploring the role of polymorphic interspecies structural variants in reproductive isolation and adaptive divergence in Eucalyptus.GigaScience · 2024Article
- Identification of pivotal genes and pathways in Chorea-acanthocytosis using comprehensive bioinformatic analysis.PloS one · 2024Article
65 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Population genetics is central to our understanding of human variation, and by linking medical and evolutionary themes, it enables us to understand the origins and impacts of our genomic differences. Despite current limitations in our knowledge of the locations, sizes and mutational origins of structural variants, our characterization of their population genetics is developing apace, bringing new insights into recent human adaptation, genome biology and disease. We summarize recent dramatic advances, describe the diverse mutational origins of chromosomal rearrangements and argue that their complexity necessitates a re-evaluation of existing population genetic methods.
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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.