ArticleG3 (Bethesda, Md.)2019
Imperfect Linkage Disequilibrium Generates Phantom Epistasis (& Perils of Big Data).
Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Efficiency under epistasis of haplotype-based genomic selection for pure line breeding.Heredity · 2026Article
- Phantom epistasis through the lens of genealogies.Genetics · 2026Article
- Interactions with polygenic background impact quantitative traits in the UK Biobank.medRxiv : the preprint server for health sciences · 2025Article
- A scalable adaptive quadratic kernel method for interpretable epistasis analysis in complex traits.Genome research · 2024Article
- Many roads to a gene-environment interaction.American journal of human genetics · 2024Review
- Detecting genetic effects on phenotype variability to capture gene-by-environment interactions: a systematic method comparison.G3 (Bethesda, Md.) · 2024Review
- Article
- Factorizing polygenic epistasis improves prediction and uncovers biological pathways in complex traits.American journal of human genetics · 2023Article
- (Quasi) multitask support vector regression with heuristic hyperparameter optimization for whole-genome prediction of complex traits: a case study with carcass traits in broilers.G3 (Bethesda, Md.) · 2023Article
- A Comparison of Methods to Estimate Additive-by-Additive-by-Additive of QTL×QTL×QTL Interaction Effects by Monte Carlo Simulation Studies.International journal of molecular sciences · 2023Article
- Transcriptome-wide gene-gene interaction associations elucidate pathways and functional enrichment of complex traits.PLoS genetics · 2023Article
- Haplotype blocks for genomic prediction: a comparative evaluation in multiple crop datasets.Frontiers in plant science · 2023Article
- Accurate prediction of quantitative traits with failed SNP calls in canola and maize.Frontiers in plant science · 2023Article
- Choosing the right tool: Leveraging of plant genetic resources in wheat (Triticum aestivum L.) benefits from selection of a suitable genomic prediction model.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Whole genome sequencing reveals epistasis effects within RET for Hirschsprung disease.Scientific reports · 2022Article
- Article
- High accuracy of genome-enabled prediction of belowground and physiological traits in barley seedlings.G3 (Bethesda, Md.) · 2022Article
- Interpretable network-guided epistasis detection.GigaScience · 2022Article
- A Random Forest-Based Genome-Wide Scan Reveals Fertility-Related Candidate Genes and Potential Inter-Chromosomal Epistatic Regions Associated With Age at First Calving in Nellore Cattle.Frontiers in genetics · 2022Article
- Genomic prediction in plants: opportunities for ensemble machine learning based approaches.F1000Research · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The genetic architecture of complex human traits and diseases is affected by large number of possibly interacting genes, but detecting epistatic interactions can be challenging. In the last decade, several studies have alluded to problems that linkage disequilibrium can create when testing for epistatic interactions between DNA markers. However, these problems have not been formalized nor have their consequences been quantified in a precise manner. Here we use a conceptually simple three locus model involving a causal locus and two markers to show that imperfect LD can generate the illusion of epistasis, even when the underlying genetic architecture is purely additive. We describe necessary conditions for such "
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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.