ArticleMolecular biology and evolution2026
Leveraging low-cost short-read sequencing: revolutionizing complex trait genetics.
Article in Molecular biology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The genetics of complex traits has been fundamentally transformed by the dramatic reduction in short-read sequencing costs, leading to a dramatic reversal in the relative costs of genotyping versus phenotyping. We explore this new scientific landscape by examining key experimental strategies that leverage inexpensive sequencing, including low-coverage whole-genome sequencing with imputation (lcWGS + I) for genotyping large cohorts. Although somewhat limited in outbred populations, lcWGS + I can be extremely effective in multiparent populations and in founder-unknown closed colonies, where imputation accuracy can exceed 98%. We further explore pooled-sequencing approaches for dissecting complex traits, such as Evolve and Resequence for tracking adaptive changes in allele frequency over several generations, and extreme quantitative trait loci mapping that identifies loci by contrasting pooled samples from phenotypic extremes. We show that extreme quantitative trait loci mapping in multiparent populations, by testing for shifts in founder haplotype frequencies across small genomic windows, can be extremely powerful and cost-effective. Finally, we discuss methods where sequencing reads serve as the phenotype itself. DNA barcoding enables massive-scale fitness assays, while the "*-seq" toolkit (e.g. RNA-seq, ATAC-seq) allows for mapping molecular quantitative trait loci, though this introduces a significant multiple testing burden. Systems leveraging certain breeding designs in concert with low cost sequencing can greatly accelerate progress toward a mechanistic understanding of the genotype-phenotype relationship.
Indexed as
Identifiers
What OpenQuestion holds
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.