ArticleGenome research2011
Maximum-likelihood estimation of recent shared ancestry (ERSA).
Article in Genome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.
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Who cites it
99 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Bibliometric analysis of kinship analysis from 1960 to 2023: global trends and development.Frontiers in genetics · 2024Pooled it
- Genomic evidence for shared common ancestry of East African hunting-gathering populations and insights into local adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2019Trial
- IBS-CNN: a novel computer vision-based kinship classification model for high-density SNP microarray.International journal of legal medicine · 2026Article
- DRIVE v3: Command Line Application for Identity-by-Descent Haplotype Clustering in Large Biobank Scale Data.Genetic epidemiology · 2026Article
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- COMPADRE: Combined pedigree-aware distant relatedness estimation for improved pedigree reconstruction.American journal of human genetics · 2025Article
- Article
- Estimating realized relatedness in free-ranging macaques by inferring identity-by-descent segments.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A likelihood ratio framework for inferring close kinship from dynamically selected SNPs.Frontiers in genetics · 2025Article
- Private detection of relatives in forensic genomics using homomorphic encryption.BMC medical genomics · 2024Article
- CORRECTING MODEL MISSPECIFICATION IN RELATIONSHIP ESTIMATES.bioRxiv : the preprint server for biology · 2024Article
- Detection of distant relatedness in biobanks to identify undiagnosed cases of Mendelian disease as applied to Long QT syndrome.Nature communications · 2024Article
- Biobank-scale inference of multi-individual identity by descent and gene conversion.American journal of human genetics · 2024Article
- Characterizing identity by descent segments in Chinese interpopulation unrelated individual pairs.Molecular genetics and genomics : MGG · 2024Article
- Supporting the use of genetic genealogy in restoring family narratives following the transatlantic slave trade.American anthropologist · 2024Article
- Taking identity-by-descent analysis into the wild: Estimating realized relatedness in free-ranging macaques.bioRxiv : the preprint server for biology · 2024Article
- GermlineJournal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023Article
- Biobank-scale inference of multi-individual identity by descent and gene conversion.bioRxiv : the preprint server for biology · 2023Article
- A cost-benefit analysis for use of large SNP panels and high throughput typing for forensic investigative genetic genealogy.International journal of legal medicine · 2023Article
39 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors.
Funding
Abstract
Accurate estimation of recent shared ancestry is important for genetics, evolution, medicine, conservation biology, and forensics. Established methods estimate kinship accurately for first-degree through third-degree relatives. We demonstrate that chromosomal segments shared by two individuals due to identity by descent (IBD) provide much additional information about shared ancestry. We developed a maximum-likelihood method for the estimation of recent shared ancestry (ERSA) from the number and lengths of IBD segments derived from high-density SNP or whole-genome sequence data. We used ERSA to estimate relationships from SNP genotypes in 169 individuals from three large, well-defined human pedigrees. ERSA is accurate to within one degree of relationship for 97% of first-degree through fifth-degree relatives and 80% of sixth-degree and seventh-degree relatives. We demonstrate that ERSA's statistical power approaches the maximum theoretical limit imposed by the fact that distant relatives frequently share no DNA through a common ancestor. ERSA greatly expands the range of relationships that can be estimated from genetic data and is implemented in a freely available software package.
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