ReviewAnnual review of genomics and human genetics2023
Methods for Assessing Population Relationships and History Using Genomic Data.
Review in Annual review of genomics and human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Analysis of Inbreeding, Population Structure, and Genetic Diversity in the Kumamoto Sub-Breed of Japanese Brown Cattle.Animals : an open access journal from MDPI · 2026Article
- Improving Malaria Parasite Gene Flow Inference Under Sparse Spatial Sampling.Molecular ecology resources · 2026Article
- Distance-Limited Larval Replenishment in the Deep-Sea Mussel Gigantidas platifrons Challenges Connectivity-Based Conservation Planning.Molecular ecology · 2026Article
- Genome-wide DAPC-based genetic structure, linkage disequilibrium, and effective population size in indigenous buffaloes of Northeastern and Central India.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Article
- Adaptive admixture at ACKR1, the Duffy blood group locus, may have shaped Plasmodium vivax prevalence in Oman.American journal of human genetics · 2026Article
- Article
- Recent Statistical Innovations in Human Genetics.Annals of human genetics · 2025Review
- Reconciling Gene Tree Discordance and Biogeography in European Crows.Molecular ecology · 2025Article
- Population Genomic Scans for Natural Selection and Demography.Annual review of genetics · 2024Review
- Biases in ARG-Based Inference of Historical Population Size in Populations Experiencing Selection.Molecular biology and evolution · 2024Article
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
Genetic data contain a record of our evolutionary history. The availability of large-scale datasets of human populations from various geographic areas and timescales, coupled with advances in the computational methods to analyze these data, has transformed our ability to use genetic data to learn about our evolutionary past. Here, we review some of the widely used statistical methods to explore and characterize population relationships and history using genomic data. We describe the intuition behind commonly used approaches, their interpretation, and important limitations. For illustration, we apply some of these techniques to genome-wide autosomal data from 929 individuals representing 53 worldwide populations that are part of the Human Genome Diversity Project. Finally, we discuss the new frontiers in genomic methods to learn about population history. In sum, this review highlights the power (and limitations) of DNA to infer features of human evolutionary history, complementing the knowledge gleaned from other disciplines, such as archaeology, anthropology, and linguistics.
Indexed as
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What Socratic 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 Socratic graph.