Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Using drift coefficients as a basis for inferring times, effective population sizes, and genetic adaptations.

Molecular biology and evolution - 1 May 2026

Nakamichi Reiichiro, Thorne Jeffrey L, Kishino Hirohisa

Abstract excerpt

Genetic drift and gene flow can give rise to a complex population genetic structure. The inverse problem of estimating the genetic drift and gene flow in the past, based on the present-day genomic population structure, can be solved using an admixture graph. This describes differentiated local populations in terms of population splits and migrations between populations. The history and associated levels of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adaptation, Biological
Share to Gene Flow
Share to Gene Frequency

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Drift

Share to Genetics, Population

Share to Models, Genetic

Share to Population Density

Share to Receptor, Melanocortin, Type 1

Source

Open in PubMed Open full text

Identifiers

PMID: 42097573
DOI: 10.1093/molbev/msag118
PMCID: PMC13198023

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Using drift coefficients as a basis for inferring times, effective population sizes, and genetic adaptations.PMID 42097573Read ↗

Efficient inference of population size histories and locus-specific mutation rates from large-sample genomic variation data.Semantic proximity Read ↗

Inferring population histories using genome-wide allele frequency data.Semantic proximity Read ↗

Estimating recent migration and population size surfacesSemantic proximity Read ↗

Efficient inference of population size histories and locus-specific mutation rates from large-sample genomic variation dataSemantic proximity Read ↗

Mutation ages and population origins inferred from genomes in structured populationsSemantic proximity Read ↗

Mutation ages and population origins inferred from genomes in structured populations.Semantic proximity Read ↗

Inference of population splits and mixtures from genome-wide allele frequency data.Semantic proximity Read ↗

Estimating population split times and migration rates from historical effective population sizesSemantic proximity Read ↗

FRAME: Fine-Resolution Asymmetric Migration Estimation.Semantic proximity Read ↗

Detecting Selection in Multiple Populations by Modeling Ancestral Admixture Components.Semantic proximity Read ↗

Local fluctuations of genetic processes defined on two time scales, with applications to effective size estimation.Semantic proximity Read ↗

Efficiently inferring the demographic history of many populations with allele count dataSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.