Evidence map›Paper›PMID 25873631›Full record

ArticleGenetics2015

Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships.

Andres Legarra, Ole F Christensen, Zulma G Vitezica, Ignacio Aguilar, Ignacy Misztal

Abstract read
In one paragraph

Article in Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

80 citing papers in PubMed.

  1. Article
  2. Article
  3. Better Multi-Breed Genomic Predictions for Tropical Bull Fertility Using a Breed-Adjusted Genomic Relationship Matrix.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  4. Review
  5. Article
  6. Use of Cluster Analysis for Identifying Metafounders.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  7. Article
  8. Article
  9. A modified indirect method for computing inbreeding coefficients.Genetics, selection, evolution : GSE · 2026
    Article
  10. Article
  11. Article
  12. Indirect Genomic Predictions for Indicine Cattle Breeds With SNP Effects From a Multi-Breed Genomic Evaluation.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  13. Genomic Evaluation in Nellore Cattle for Reproductive Traits: Multiple Ways to Account for Missing Pedigrees.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  14. Multi-Breed Genomic Predictions for Average Daily Gain in Three Italian Beef Cattle Breeds.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Andres LegarraInstitut National de la Recherche Agronomique, GenPhySE, Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France andres.legarra@toulouse.inra.fr.
Ole F ChristensenAarhus University, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, DK-8830 Tjele, Denmark.
Zulma G VitezicaUniversité de Toulouse, INP, ENSAT, GenPhySE, Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France.
Ignacio AguilarInstituto Nacional de Investigación Agropecuaria, Canelones 90200, Uruguay.
Ignacy MisztalAnimal and Dairy Science, University of Georgia, Athens, Georgia 30602.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent use of genomic (marker-based) relationships shows that relationships exist within and across base population (breeds or lines). However, current treatment of pedigree relationships is unable to consider relationships within or across base populations, although such relationships must exist due to finite size of the ancestral population and connections between populations. This complicates the conciliation of both approaches and, in particular, combining pedigree with genomic relationships. We present a coherent theoretical framework to consider base population in pedigree relationships. We suggest a conceptual framework that considers each ancestral population as a finite-sized pool of gametes. This generates across-individual relationships and contrasts with the classical view which each population is considered as an infinite, unrelated pool. Several ancestral populations may be connected and therefore related. Each ancestral population can be represented as a "metafounder," a pseudo-individual included as founder of the pedigree and similar to an "unknown parent group." Metafounders have self- and across relationships according to a set of parameters, which measure ancestral relationships, i.e., homozygozities within populations and relationships across populations. These parameters can be estimated from existing pedigree and marker genotypes using maximum likelihood or a method based on summary statistics, for arbitrarily complex pedigrees. Equivalences of genetic variance and variance components between the classical and this new parameterization are shown. Segregation variance on crosses of populations is modeled. Efficient algorithms for computation of relationship matrices, their inverses, and inbreeding coefficients are presented. Use of metafounders leads to compatibility of genomic and pedigree relationship matrices and to simple computing algorithms. Examples and code are given.

Indexed as

Genetics, PopulationModels, GeneticAlgorithmsCrosses, GeneticGenetic VariationGenomicsGenotypeInbreedingPedigreebase populationsgenetic driftGenPredmarker genotypespedigreerelationshipsshared data resource

Identifiers

PMID25873631
PMCPMC4492372

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.