ArticleGenetics2017
Benchmarking Relatedness Inference Methods with Genome-Wide Data from Thousands of Relatives.
Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.
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Who cites it
59 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Population genetic considerations for using biobanks as international resources in the pandemic era and beyond.BMC genomics · 2021Pooled it
- Single Nucleotide Polymorphisms in Distant Kinship Inference and Forensic Genetic Genealogy.International journal of molecular sciences · 2026Review
- Tracing the Right Path: Determination of Large Pedigree Segmentation and Relatedness.Behavior genetics · 2026Article
- From Nuisance to Signal: Leveraging Close Relatives in Biobank-Scale Demographic Inference.bioRxiv : the preprint server for biology · 2026Article
- Artificial intelligence enables scale, consistency, and rigor in forensic identity inference.Croatian medical journal · 2026Review
- The rate of identical-by-descent segment sharing between close and distant relatives.HGG advances · 2026Article
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- Evaluating Kinship Estimation Methods for Reduced-Representation SNP Data in Non-model Species.Molecular ecology resources · 2025Article
- Identity-by-descent segments in large samples.Theoretical population biology · 2025Article
- Power and Limitations of Inferring Genetic Ancestry.Annals of human genetics · 2025Review
- Article
- clusIBD: Robust Detection of Identity-by-descent Segments Using Unphased Genetic Data from Poor-quality Samples.Genomics, proteomics & bioinformatics · 2025Article
- Precise estimation of in-depth relatedness in biobank-scale datasets using deepKin.Cell reports methods · 2025Article
- Accelerating Heritability, Genetic Correlation, and Genome-Wide Association Imaging Genetic Analyses in Complex Pedigrees.Human brain mapping · 2024Article
- Private detection of relatives in forensic genomics using homomorphic encryption.BMC medical genomics · 2024Article
- Estimating Demographic Parameters for Bearded Seals,Evolutionary applications · 2024Article
- Article
- Secure discovery of genetic relatives across large-scale and distributed genomic data sets.Genome research · 2024Article
- Hippocampal aggregation signatures of pathogenic UBQLN2 in amyotrophic lateral sclerosis and frontotemporal dementia.Brain : a journal of neurology · 2024Article
- Reconstructing parent genomes using siblings and other relatives.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Inferring relatedness from genomic data is an essential component of genetic association studies, population genetics, forensics, and genealogy. While numerous methods exist for inferring relatedness, thorough evaluation of these approaches in real data has been lacking. Here, we report an assessment of 12 state-of-the-art pairwise relatedness inference methods using a data set with 2485 individuals contained in several large pedigrees that span up to six generations. We find that all methods have high accuracy (92-99%) when detecting first- and second-degree relationships, but their accuracy dwindles to <43% for seventh-degree relationships. However, most identical by descent (IBD) segment-based methods inferred seventh-degree relatives correct to within one relatedness degree for >76% of relative pairs. Overall, the most accurate methods are Estimation of Recent Shared Ancestry (ERSA) and approaches that compute total IBD sharing using the output from GERMLINE and Refined IBD to infer relatedness. Combining information from the most accurate methods provides little accuracy improvement, indicating that novel approaches, such as new methods that leverage relatedness signals from multiple samples, are needed to achieve a sizeable jump in performance.
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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.