ArticleGigaScience2019
BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millions.
Article in GigaScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 499 papers.
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Who cites it
499 citing papers in PubMed, 779 citations in OpenAlex.
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- A multi-race blast resistance locus identified and validated in US elite rice via association and biparental mapping.The plant genome · 2026Article
- Genome-wide association analysis of resistance to scald in an adapted multiparent winter malting barley population.The plant genome · 2026Article
- Genome-wide association mapping of tan spot resistance in a modified NAM population derived from synthetic hexaploid wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- High-resolution GWAS and diagnostic functional marker development for leaf shape in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
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- Review
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- Systematic Approach for Compound Angus Populations Revealing Positional Candidate Genes and Improving Prediction Accuracy in Carcass Traits.Animals : an open access journal from MDPI · 2026Article
- High-Density Genome-Wide Association Mapping Identifies Candidate Loci Associated with Maize Stalk Cell Wall Composition.Plants (Basel, Switzerland) · 2026Article
- Deciphering the genetic basis of yield components in wheat by integrating hyperspectral-based phenomes.Plant phenomics (Washington, D.C.) · 2026Article
- Integrative genomics and zero-shot deep learning-based phenotyping reveal the genetic architecture of seed traits in mungbean (Vigna radiata L.).The plant genome · 2026Article
- Uncovering the genetic basis of fruit volatiles inHorticulture research · 2026Article
- Novel genomic regions associated with adult-plant resistance to multiple fungal pathogens in wheat (Triticum aestivum L.) revealed by DArT marker sequencing.Journal of applied genetics · 2026Article
- Genome-wide association study identifies candidate genes for agronomic traits under heat- and combined recurrent drought-and heat-stress in wheat.Scientific reports · 2026Article
- Genetic dissection of inherited cold-stress reveals resilience hotspots in barley.Molecular genetics and genomics : MGG · 2026Article
439 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Big datasets, accumulated from biomedical and agronomic studies, provide the potential to identify genes that control complex human diseases and agriculturally important traits through genome-wide association studies (GWAS). However, big datasets also lead to extreme computational challenges, especially when sophisticated statistical models are employed to simultaneously reduce false positives and false negatives. The newly developed fixed and random model circulating probability unification (FarmCPU) method uses a bin method under the assumption that quantitative trait nucleotides (QTNs) are evenly distributed throughout the genome. The estimated QTNs are used to separate a mixed linear model into a computationally efficient fixed effect model (FEM) and a computationally expensive random effect model (REM), which are then used iteratively. To completely eliminate the computationally expensive REM, we replaced REM with FEM by using Bayesian information criteria. To eliminate the requirement that QTNs be evenly distributed throughout the genome, we replaced the bin method with linkage disequilibrium information. The new method is called Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway (BLINK). Both real and simulated data analyses demonstrated that BLINK improves statistical power compared to FarmCPU, in addition to remarkably reducing computing time. Now, a dataset with one million individuals and one-half million markers can be analyzed within three hours, instead of one week using FarmCPU.
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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.