Evidence map›Paper›PMID 29519937›Full record

ArticleG3 (Bethesda, Md.)2018

Functional Validation of Candidate Genes Detected by Genomic Feature Models.

Palle Duun Rohde, Solveig Østergaard, Torsten Nygaard Kristensen, Peter Sørensen, Volker Loeschcke, Trudy F C Mackay, Pernille Sarup

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Female genetic variation controlling timing of mating plug ejection inbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Insects · 2024
    Review
  8. Experimental Evolution in a Warming World: The Omics Era.Molecular biology and evolution · 2024
    Review
  9. Focus on your locus with a massively parallel reporter assay.Journal of neurodevelopmental disorders · 2022
    Review
  10. Accounting for genetic architecture for body weight improves accuracy of predicting breeding values in a commercial line of broilers.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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

7 authors.

Palle Duun RohdeCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, 8830 Tjele, Denmark palle.d.rohde@mbg.au.dk.ORCID 0000-0003-4347-8656
Solveig ØstergaardCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, 8830 Tjele, Denmark.
Torsten Nygaard KristensenSection for Genetics, Ecology and Evolution, Department of Bioscience, Aarhus University, 8000 Aarhus, Denmark.
Peter SørensenCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, 8830 Tjele, Denmark.ORCID 0000-0002-5838-1251
Volker LoeschckeSection for Genetics, Ecology and Evolution, Department of Bioscience, Aarhus University, 8000 Aarhus, Denmark.
Trudy F C MackayDepartment of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695.
Pernille SarupCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, 8830 Tjele, Denmark.

Funding

Genetics of Alcohol Sensitivity in DrosophilaR01AA016560 · NIAAA · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI ANHOLT, ROBERT R. H, MACKAY, TRUDY F. · 2007 to 2016
$4.0M
Systems Genetics of Drosophila Life SpanR01AG043490 · NIA · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI ANHOLT, ROBERT R. H, CARBONE, MARY ANNA · 2013 to 2017
$1.9M
NIAAA NIH HHS R01 AA016560NIA NIH HHS R01 AG043490
6 · The paper itself

Abstract

Understanding the genetic underpinnings of complex traits requires knowledge of the genetic variants that contribute to phenotypic variability. Reliable statistical approaches are needed to obtain such knowledge. In genome-wide association studies, variants are tested for association with trait variability to pinpoint loci that contribute to the quantitative trait. Because stringent genome-wide significance thresholds are applied to control the false positive rate, many true causal variants can remain undetected. To ameliorate this problem, many alternative approaches have been developed, such as genomic feature models (GFM). The GFM approach tests for association of set of genomic markers, and predicts genomic values from genomic data utilizing prior biological knowledge. We investigated to what degree the findings from GFM have biological relevance. We used the

Indexed as

Genes, InsectGenetic Association StudiesGenomicsModels, GeneticAnimalsDrosophila melanogasterGene Expression RegulationGene OntologyMaleMotor ActivityReproducibility of ResultsDGRPDrosophila melanogastergenomic predictionlocomotor activityset test

Identifiers

PMID29519937
PMCPMC5940157

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.