Evidence map›Paper›PMID 42067577›Full record

ArticleScientific reports2026

Establishing standards for genome wide association studies in eusocial insects through a case study in honey bees.

Mulusew Fikere, Dylan K Ryals, Jana Obšteter, Luiz F Brito, Gregor Gorjanc, Brock A Harpur

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Mulusew FikereDepartment of Entomology, Purdue University, West Lafayette, IN, USA. mfikere@purdue.edu.
Dylan K RyalsDepartment of Entomology, Purdue University, West Lafayette, IN, USA.
Jana ObšteterAgricultural Institute of Slovenia, Ljubljana, Slovenia.
Luiz F BritoDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.
Gregor GorjancThe Roslin Institute and Royal (Dick) School of Veterinary Medicine, The University of Edinburgh, Edinburgh, UK.
Brock A HarpurDepartment of Entomology, Purdue University, West Lafayette, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As eusocial insects enter the post-genomic era, the availability of reference genomes and genomic datasets have facilitated Genome-wide Association Studies (GWAS) for traits measured on whole colonies. Several GWAS have been completed for traits like foraging and colony nesting behavior. However, no studies have addressed the specific challenges of applying GWAS to eusocial species. Eusocial species, such as honey bees, present several hurdles for traditional GWAS designs: they have high recombination rates, their social traits are generally polygenic, and the existence of multiple castes introduces additional layers of complexity in identifying genotype-phenotype associations. Moreover, many eusocial species are haplodiploid and polyandrous. To address these challenges, we used the honey bee (Apis mellifera) as a model to simulate GWAS scenarios for honey yield. We explored the influence of factors such as the number of quantitative trait loci (QTL), heritability level, number of SNP markers covering the genome, and sample size on QTL discovery. We also examined the impact of genotyping queens versus workers. Our results suggest that a p-value threshold of 1 × 10

Indexed as

Genome-Wide Association StudyAnimalsBeesFemaleGenome, InsectGenotypePhenotypePolymorphism, Single NucleotideQuantitative Trait LociSocial BehavioreusocialGenome wide associationhoney beesocial traits

Identifiers

PMID42067577
PMCPMC13338024

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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.