Evidence map›Paper›PMID 34718531›Full record

ArticleGenetics2021

The correlation of substitution effects across populations and generations in the presence of nonadditive functional gene action.

Andres Legarra, Carolina A Garcia-Baccino, Yvonne C J Wientjes, Zulma G Vitezica

Abstract read
In one paragraph

Article in Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. In silico prediction of variant effects: promises and limitations for precision plant breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  3. Article
  4. Article
  5. Animals : an open access journal from MDPI · 2024
    Article
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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

4 authors.

Andres LegarraINRAE/INP, UMR 1388 GenPhySE, Castanet-Tolosan 31326, France.ORCID 0000-0001-8893-7620
Carolina A Garcia-BaccinoINRAE/INP, UMR 1388 GenPhySE, Castanet-Tolosan 31326, France.
Yvonne C J WientjesWageningen University & Research, Animal Breeding and Genomics, Wageningen 6700 AH, the Netherlands.ORCID 0000-0002-0681-2902
Zulma G VitezicaINRAE/INP, UMR 1388 GenPhySE, Castanet-Tolosan 31326, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allele substitution effects at quantitative trait loci (QTL) are part of the basis of quantitative genetics theory and applications such as association analysis and genomic prediction. In the presence of nonadditive functional gene action, substitution effects are not constant across populations. We develop an original approach to model the difference in substitution effects across populations as a first order Taylor series expansion from a "focal" population. This expansion involves the difference in allele frequencies and second-order statistical effects (additive by additive and dominance). The change in allele frequencies is a function of relationships (or genetic distances) across populations. As a result, it is possible to estimate the correlation of substitution effects across two populations using three elements: magnitudes of additive, dominance, and additive by additive variances; relationships (Nei's minimum distances or Fst indexes); and assumed heterozygosities. Similarly, the theory applies as well to distinct generations in a population, in which case the distance across generations is a function of increase of inbreeding. Simulation results confirmed our derivations. Slight biases were observed, depending on the nonadditive mechanism and the reference allele. Our derivations are useful to understand and forecast the possibility of prediction across populations and the similarity of GWAS effects.

Indexed as

AllelesGene FrequencyGenetics, PopulationModels, GeneticMutagenesisAnimalsComputer SimulationGenesGenetic VariationGenotypeHumansModels, Statisticaldominanceepistasisgenetic distanceQTLsubstitution effects

Identifiers

PMID34718531
PMCPMC8664574

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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.