ReviewGenetics2019
Complex Trait Prediction from Genome Data: Contrasting EBV in Livestock to PRS in Humans: Genomic Prediction.
Review in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.
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Who cites it
86 citing papers in PubMed.
- Which RJournal of human genetics · 2026Article
- PGS-GS: a framework integrating polygenic scores and genomic selection in animal breeding.Briefings in bioinformatics · 2026Article
- Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.NAR genomics and bioinformatics · 2026Article
- Polygenic Prediction of Equestrian Sport Discipline Among Horses Bred for Jumping and Dressage.Animal genetics · 2026Article
- Genetic prediction with ARG-powered linear algebra.Genetics · 2026Article
- A Flexible Method for Genomics-Based Quantitative Genetics in Wild Study Systems-A Case Study on a House Sparrow Meta-Population.Evolutionary applications · 2026Article
- Clinical use of polygenic risk scores: current status, barriers and future directions.Nature reviews. Genetics · 2026Review
- Genomic prediction in insects: a case study on wing morphology traits in the jewel wasp Nasonia vitripennis.G3 (Bethesda, Md.) · 2026Article
- Comprehensive benchmarking single and multi ancestry polygenic score methods with the PGS-hub platform.Nature communications · 2026Article
- The relationship between genotype- and phenotype-based estimates of genetic liability to psychiatric disorders, in practice and in theory.American journal of human genetics · 2026Article
- Clinical implications of rare and common variation in preimplantation genetic testing for breast cancer.NPJ genomic medicine · 2026Article
- Genetic testing predicts appearance but not behavior in dogs.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.bioRxiv : the preprint server for biology · 2025Article
- Clinical implications of rare and common variation in preimplantation genetic testing for breast cancer.medRxiv : the preprint server for health sciences · 2025Article
- Pathway-Specific Polygenic Scores for Predicting Clinical Lithium Treatment Response in Patients With Bipolar Disorder.Biological psychiatry global open science · 2025Article
- Polygenic prediction of body mass index and obesity through the life course and across ancestries.Nature medicine · 2025Article
- Predicting Forest Tree Leaf Phenology Under Climate Change Using Satellite Monitoring and Population-Based Genomic Trait Association.Global change biology · 2025Article
- Predictive capabilities of polygenic scores in an East-Asian population-based cohort: the Singapore Chinese health study.Communications biology · 2025Article
- A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe.European archives of psychiatry and clinical neuroscience · 2025Article
- Article
26 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
In this Review, we focus on the similarity of the concepts underlying prediction of estimated breeding values (EBVs) in livestock and polygenic risk scores (PRS) in humans. Our research spans both fields and so we recognize factors that are very obvious for those in one field, but less so for those in the other. Differences in family size between species is the wedge that drives the different viewpoints and approaches. Large family size achievable in nonhuman species accompanied by selection generates a smaller effective population size, increased linkage disequilibrium and a higher average genetic relationship between individuals within a population. In human genetic analyses, we select individuals unrelated in the classical sense (coefficient of relationship <0.05) to estimate heritability captured by common SNPs. In livestock data, all animals within a breed are to some extent "related," and so it is not possible to select unrelated individuals and retain a data set of sufficient size to analyze. These differences directly or indirectly impact the way data analyses are undertaken. In livestock, genetic segregation variance exposed through samplings of parental genomes within families is directly observable and taken for granted. In humans, this genomic variation is under-recognized for its contribution to variation in polygenic risk of common disease, in both those with and without family history of disease. We explore the equation that predicts the expected proportion of variance explained using PRS, and quantify how GWAS sample size is the key factor for maximizing accuracy of prediction in both humans and livestock. Last, we bring together the concepts discussed to address some frequently asked questions.
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