Evidence map›Paper›PMID 41593459›Full record

ArticleMolecular biology and evolution2026

Leveraging low-cost short-read sequencing: revolutionizing complex trait genetics.

Sarah N Ruckman, Anthony D Long

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sarah N RuckmanSystems Biology, University of California, 5421 McGaugh Hall, Irvine, CA 92697, USA.ORCID 0000-0003-1583-6639
Anthony D LongSystems Biology, University of California, 5421 McGaugh Hall, Irvine, CA 92697, USA.ORCID 0000-0002-5007-8514

Funding

Genetic architecture of host response to tickborne disease in Peromyscus leucopusR01AI157513 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI BARBOUR, ALAN G., LONG, ANTHONY DOUGLAS · 2020 to 2024
$3.6M
A Resource for the Genetic Dissection of Complex TraitsR01OD034064 · OD · UNIVERSITY OF KANSAS LAWRENCE · PI ANTHONY Douglas LONG, Stuart John Macdonald · 2023 to 2026
$2.4M
Evaluating a powerful genetic mapping framework to discover lifespan extension genes in DrosophilaR21AG086734 · NIA · UNIVERSITY OF KANSAS LAWRENCE · PI LONG, ANTHONY DOUGLAS, MACDONALD, STUART JOHN · 2024 to 2025
$425k
NIAID NIH HHS R01 AI157513NIA NIH HHS R21 AG086734NIH HHS R01AI157513NIH HHS R01 OD034064NIH HHS R01OD034064NIH HHS R21AG086734
6 · The paper itself

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

Multifactorial InheritanceSequence Analysis, DNAWhole Genome SequencingAnimalsChromosome MappingGene FrequencyHaplotypesPhenotypeQuantitative Trait Locibarcodesgenotype imputationGWASQTL mapping

Identifiers

PMID41593459
PMCPMC12915788

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Registered trials

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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.