ArticleNature genetics2026
A k-mer-based genome-wide association study approach empowering gene mining in polyploids.
Article in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Review
- Allelic expression and subgenome bias influence plant height in cultivated hybrid sugarcane.aBIOTECH · 2026Article
- A k-mer-based genome-wide association study approach empowering gene mining in polyploids.Nature genetics · 2026Article
- Genome-wide association studies in horticultural crops: decoding genetic diversity for precision breeding.Horticulture research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies in complex polyploids are hindered by genotyping ambiguity and allele dosage complexity. Here we present KMERIA, a k-mer-based framework specifically designed to address these challenges, enabling efficient genotyping and robust association mapping in complex polyploid genomes. Rigorous benchmarking with simulated and empirical datasets demonstrates that KMERIA surpasses existing methods in accuracy and statistical power. By applying KMERIA to 290 wild sugarcane (Saccharum spontaneum) accessions and integrating a 15-accession graph pangenome to capture structural variations, we identified new genes regulating sucrose biosynthesis (SsMGT) and tillering (for example, SsERF14, SsNGA5, SsNAC, SsARF8, SsLOG and SsSCR). These findings elucidate the genetic architecture of yield-related traits and provide actionable targets for sugarcane breeding. Collectively, KMERIA bridges a critical methodological gap in polyploid genomics, while our graph-pangenome integration provides a powerful framework for deciphering genotype-phenotype relationships in crops with complex architectures.
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.