ArticleBMC bioinformatics2019
'apparent': a simple and flexible R package for accurate SNP-based parentage analysis in the absence of guiding information.
Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed.
- Breeding Behaviors and Kinship in the Endangered Hawaiian Stilt (Ae'o;Ecology and evolution · 2026Article
- Dissecting fruit weight and quality traits in Australian passion fruit through genetic linkage mapping and QTL analysis.Frontiers in plant science · 2026Article
- Pairwise Paternity Assignment With Forward-Backward Simulations: Refining CERVUS Using Trio-Based Likelihood and Locus-Specific Error Rates.Ecology and evolution · 2025Article
- IMAGE001: A new livestock multispecies SNP array to characterize genomic variation in European livestock gene bank collections.Animal genetics · 2025Article
- Article
- Genome-wide allele frequency studies in Pacific oyster families identify candidate genes for tolerance to ostreid herpesvirus 1 (OsHV-1).BMC genomics · 2023Article
- Integer programming for selecting set of informative markers in paternity inference.BMC bioinformatics · 2022Article
- SNP-Based Analysis Reveals Authenticity and Genetic Similarity of Russian IndigenousPlants (Basel, Switzerland) · 2021Article
- Landscape Genetics of Plants: Challenges and Opportunities.Plant communications · 2020Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
backgroundThe accurate determination of parent-progeny relationships within both in situ natural populations and ex situ genetic resource collections can greatly enhance plant breeding/domestication efforts and support plant genetic resource conservation strategies. Although a range of parentage analysis tools are available, none are designed to infer such relationships using genome-wide single nucleotide polymorphism (SNP) data in the complete absence of guiding information, such as generational groups, partial pedigrees, or genders. The R package ('apparent') developed and presented here addresses this gap.
results'apparent' adopts a novel strategy of parentage analysis based on a test of genetic identity between a theoretically expected progeny (EP
conclusionsThe 'apparent' R package is a fast and accurate parentage analysis tool that uses genome-wide SNP data to identify parent-progeny relationships within populations for which no a priori knowledge of family structure exists.
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Registered trials
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