ArticleGigaScience2019
Fast and accurate relatedness estimation from high-throughput sequencing data in the presence of inbreeding.
Article in GigaScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.
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121 citing papers in PubMed.
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- Larval Genomics as a Viable, Fisheries-Independent Tool for Investigating Population Structure in Tropical Pacific Tunas.Molecular ecology · 2026Article
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- One Sea, Different Whales: Genomics Sheds Light on a Small Population of Fin Whales.Genome biology and evolution · 2026Article
- Mitochondrial structure despite nuclear panmixia: sex-specific dispersal dictates population structure in sperm whales.Heredity · 2026Article
- Population discontinuity in the Paris Basin linked to evidence of the Neolithic decline.Nature ecology & evolution · 2026Article
- Seizure samples reveal complex evolutionary dynamics among Southeast Asian pangolins.Heredity · 2026Article
61 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe estimation of relatedness between pairs of possibly inbred individuals from high-throughput sequencing (HTS) data has previously not been possible for samples where we cannot obtain reliable genotype calls, as in the case of low-coverage data.
resultsWe introduce ngsRelateV2, a major revision of ngsRelateV1, a program that originally allowed for estimation of relatedness from HTS data among non-inbred individuals only. The new revised version takes into account the possibility of individuals being inbred by estimating the 9 condensed Jacquard coefficients along with various other relatedness statistics. The program is threaded and scales linearly with the number of cores allocated to the process.
conclusionThe program is available as an open source C/C++ program under the GPL license and hosted at https://github.com/ANGSD/ngsRelate. To facilitate easy analysis, the program is able to work directly on the most commonly used container formats for raw sequence (BAM/CRAM) and summary data (VCF/BCF).
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