ArticleG3 (Bethesda, Md.)2023
Identity-by-descent-based estimation of the X chromosome effective population size with application to sex-specific demographic history.
Article in G3 (Bethesda, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Local ancestry inference with poorly-matched reference panels.PLoS genetics · 2026Article
- Multiple-testing corrections in selection scans using identity-by-descent segments.American journal of human genetics · 2025Article
- Identity-by-descent segments in large samples.Theoretical population biology · 2025Article
- clusIBD: Robust Detection of Identity-by-descent Segments Using Unphased Genetic Data from Poor-quality Samples.Genomics, proteomics & bioinformatics · 2025Article
- Fast simulation of identity-by-descent segments.Bulletin of mathematical biology · 2025Article
- Estimating effective population size trajectories from time-series identity-by-descent segments.Genetics · 2025Article
- Multiple-testing corrections in selection scans using identity-by-descent segments.bioRxiv : the preprint server for biology · 2025Article
- Fast simulation of identity-by-descent segments.bioRxiv : the preprint server for biology · 2025Article
- Modeling recent positive selection using identity-by-descent segments.American journal of human genetics · 2024Article
- Biobank-scale inference of multi-individual identity by descent and gene conversion.American journal of human genetics · 2024Article
- Modeling the effects of consanguinity on autosomal and X-chromosomal runs of homozygosity and identity-by-descent sharing.G3 (Bethesda, Md.) · 2024Article
- Haplotype-based inference of recent effective population size in modern and ancient DNA samples.Nature communications · 2023Article
- HaploBlocks: Efficient Detection of Positive Selection in Large Population Genomic Datasets.Molecular biology and evolution · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The effective size of a population (Ne) in the recent past can be estimated through analysis of identity-by-descent (IBD) segments. Several methods have been developed for estimating Ne from autosomal IBD segments, but no such effort has been made with X chromosome IBD segments. In this work, we propose a method to estimate the X chromosome effective population size from X chromosome IBD segments. We show how to use the estimated autosome Ne and X chromosome Ne to estimate the female and male effective population sizes. We demonstrate the accuracy of our autosome and X chromosome Ne estimation with simulated data. We find that the estimated female and male effective population sizes generally reflect the simulated sex-specific effective population sizes across the past 100 generations but that short-term differences between the estimated sex-specific Ne across tens of generations may not reliably indicate true sex-specific differences. We analyzed the effective size of populations represented by samples of sequenced UK White British and UK Indian individuals from the UK Biobank.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.