ArticleNature communications2016
Predicting quantitative traits from genome and phenome with near perfect accuracy.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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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
23 citing papers in PubMed.
- Predicting natural variation in the yeast phenotypic landscape with machine learning.Molecular systems biology · 2025Article
- Genomic and hyperspectral imaging-based prediction blending enables selection for reduced deoxynivalenol content in wheat grains.G3 (Bethesda, Md.) · 2025Article
- The interplay of additivity, dominance, and epistasis on fitness in a diploid yeast cross.Nature communications · 2022Article
- Paving the way for precise diagnostics of antimicrobial resistant bacteria.Frontiers in molecular biosciences · 2022Review
- High-Throughput, High-Precision Colony Phenotyping with Pyphe.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Article
- Characterization of Cold-TolerantMicroorganisms · 2021Article
- Mouse Genetic Reference Populations: Cellular Platforms for Integrative Systems Genetics.Trends in genetics : TIG · 2021Review
- Pan-genomic open reading frames: A potential supplement of single nucleotide polymorphisms in estimation of heritability and genomic prediction.PLoS genetics · 2020Article
- Two Synthetic 18-Way Outcrossed Populations of Diploid Budding Yeast with Utility for Complex Trait Dissection.Genetics · 2020Article
- Optimizing genomic selection for blight resistance in American chestnut backcross populations: A trade-off with American chestnut ancestry implies resistance is polygenic.Evolutionary applications · 2020Article
- Genomic selection of juvenile height across a single-generational gap in Douglas-fir.Heredity · 2019Article
- A singular value decomposition Bayesian multiple-trait and multiple-environment genomic model.Heredity · 2019Article
- Artificial Intelligence for Cardiac Imaging-Genetics Research.Frontiers in cardiovascular medicine · 2019Review
- Accuracy of genomic selection for growth and wood quality traits in two control-pollinated progeny trials using exome capture as the genotyping platform in Norway spruce.BMC genomics · 2018Article
- Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data.PLoS computational biology · 2018Article
- Patient Similarity Networks for Precision Medicine.Journal of molecular biology · 2018Review
- Article
- Genomic prediction accuracies in space and time for height and wood density of Douglas-fir using exome capture as the genotyping platform.BMC genomics · 2017Article
- Evolutionary biology through the lens of budding yeast comparative genomics.Nature reviews. Genetics · 2017Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
In spite of decades of linkage and association studies and its potential impact on human health, reliable prediction of an individual's risk for heritable disease remains difficult. Large numbers of mapped loci do not explain substantial fractions of heritable variation, leaving an open question of whether accurate complex trait predictions can be achieved in practice. Here, we use a genome sequenced population of ∼7,000 yeast strains of high but varying relatedness, and predict growth traits from family information, effects of segregating genetic variants and growth in other environments with an average coefficient of determination R(2) of 0.91. This accuracy exceeds narrow-sense heritability, approaches limits imposed by measurement repeatability and is higher than achieved with a single assay in the laboratory. Our results prove that very accurate prediction of complex traits is possible, and suggest that additional data from families rather than reference cohorts may be more useful for this purpose.
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Registered trials
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.