Evidence map›Paper›PMID 24452438›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2014

The impact of population structure on genomic prediction in stratified populations.

Zhigang Guo, Dominic M Tucker, Christopher J Basten, Harish Gandhi, Elhan Ersoz, Baohong Guo, Zhanyou Xu, Daolong Wang, Gilles Gay

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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 1 pooled it
–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

96 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Transferability of genomic prediction models across market segments in potato and the effect of selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  14. Leveraging genomic prediction to surpass current yield gains in spring barley.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  16. Genomic selection for agronomical phenotypes using genome-wide SNPs and SVs in pearl millet.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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36 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

9 authors.

Zhigang GuoSyngenta Biotechnology, Inc., 3054 E Cornwallis Rd., Durham, NC, 27709, USA, zhigang.guo@syngenta.com.
Dominic M Tucker
Christopher J Basten
Harish Gandhi
Elhan Ersoz
Baohong Guo
Zhanyou Xu
Daolong Wang
Gilles Gay

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Impacts of population structure on the evaluation of genomic heritability and prediction were investigated and quantified using high-density markers in diverse panels in rice and maize. Population structure is an important factor affecting estimation of genomic heritability and assessment of genomic prediction in stratified populations. In this study, our first objective was to assess effects of population structure on estimations of genomic heritability using the diversity panels in rice and maize. Results indicate population structure explained 33 and 7.5% of genomic heritability for rice and maize, respectively, depending on traits, with the remaining heritability explained by within-subpopulation variation. Estimates of within-subpopulation heritability were higher than that derived from quantitative trait loci identified in genome-wide association studies, suggesting 65% improvement in genetic gains. The second objective was to evaluate effects of population structure on genomic prediction using cross-validation experiments. When population structure exists in both training and validation sets, correcting for population structure led to a significant decrease in accuracy with genomic prediction. In contrast, when prediction was limited to a specific subpopulation, population structure showed little effect on accuracy and within-subpopulation genetic variance dominated predictions. Finally, effects of genomic heritability on genomic prediction were investigated. Accuracies with genomic prediction increased with genomic heritability in both training and validation sets, with the former showing a slightly greater impact. In summary, our results suggest that the population structure contribution to genomic prediction varies based on prediction strategies, and is also affected by the genetic architectures of traits and populations. In practical breeding, these conclusions may be helpful to better understand and utilize the different genetic resources in genomic prediction.

Indexed as

Genome, PlantGenetic Association StudiesGenetic MarkersGenomicsModels, GeneticOryzaPhenotypePolymorphism, Single NucleotideQuantitative Trait LociSelection, GeneticZea maysGenetic Markers

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Registered trials

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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.