ArticleProceedings of the National Academy of Sciences of the United States of America2022
Improving GWAS discovery and genomic prediction accuracy in biobank data.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Separating direct, indirect, and parent-of-origin genetic effects in the human population.Cell genomics · 2026Article
- Joint modeling of whole-genome sequencing data for human height via approximate message passing.Cell genomics · 2026Article
- Genotype subtyping approach to identify unnoticed variants in diseases from GWAS data.BioData mining · 2026Article
- MAJA: multivariate Bayesian model for discovery of shared epigenetic pathways across human phenotypes.Bioinformatics advances · 2026Article
- Using machine learning to predict and analyze complex trait diseases: Lessons from a simple abstract model.PloS one · 2026Article
- Article
- Methylome-wide association studies and epigenetic biomarker development for 133 mass spectrometry-assessed circulating proteins in 14,671 Generation Scotland participants.Genome biology · 2025Article
- Forward and reverse genomic screens enhance the understanding of phenotypic variation in a large Chinese rhesus macaque cohort.Nature communications · 2025Article
- MINE: maximally informative next experiment-toward a new GWAS experimental design and methodology.G3 (Bethesda, Md.) · 2025Article
- Polygenic prediction of body mass index and obesity through the life course and across ancestries.Nature medicine · 2025Article
- Separating direct, indirect and parent-of-origin genetic effects in the human population.bioRxiv : the preprint server for biology · 2025Article
- Genetic association studies using disease liabilities from deep neural networks.American journal of human genetics · 2025Article
- Evaluation of genomic selection models using whole genome sequence data and functional annotation in Belgian Blue cattle.Genetics, selection, evolution : GSE · 2025Article
- Quantitative omnigenic model discovers interpretable genome-wide associations.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Genetically predicted dietary intake and risks of colorectal cancer: a Mendelian randomisation study.BMC cancer · 2024Article
- Genetic association studies using disease liabilities from deep neural networks.medRxiv : the preprint server for health sciences · 2024Article
- Evaluation of heritability partitioning approaches in livestock populations.BMC genomics · 2024Article
- Risk Assessment for Gastrointestinal Diseases via Clinical Dimension and Genome-Wide Polygenic Risk Scores of Type 2 Diabetes: A Population-Based Cohort Study.Diabetes care · 2024Article
- Single nucleotide polymorphism SNP19140160 A > C is a potential breeding locus for fast-growth largemouth bass (Micropterus salmoides).BMC genomics · 2024Article
- CropGS-Hub: a comprehensive database of genotype and phenotype resources for genomic prediction in major crops.Nucleic acids research · 2024Article
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7 authors.
Funding
Abstract
Genetically informed, deep-phenotyped biobanks are an important research resource and it is imperative that the most powerful, versatile, and efficient analysis approaches are used. Here, we apply our recently developed Bayesian grouped mixture of regressions model (GMRM) in the UK and Estonian Biobanks and obtain the highest genomic prediction accuracy reported to date across 21 heritable traits. When compared to other approaches, GMRM accuracy was greater than annotation prediction models run in the LDAK or LDPred-funct software by 15% (SE 7%) and 14% (SE 2%), respectively, and was 18% (SE 3%) greater than a baseline BayesR model without single-nucleotide polymorphism (SNP) markers grouped into minor allele frequency-linkage disequilibrium (MAF-LD) annotation categories. For height, the prediction accuracy
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