Evidence map›Paper›PMID 31357925›Full record

ArticleBMC genomics2019

Estimation of a significance threshold for genome-wide association studies.

Avjinder S Kaler, Larry C Purcell

Abstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 1 pooled it
–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

89 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Association Mapping of Seedling Resistance toPlants (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

29 more citing papers are in PubMed but not listed here.

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.

Avjinder S KalerDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, 72704, USA.
Larry C PurcellDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, 72704, USA. lpurcell@uark.edu.ORCID http://orcid.org/0000-0003-1597-4070

Funding

United Soybean Board 1920-172-0116-A
6 · The paper itself

Abstract

backgroundSelection of an appropriate statistical significance threshold in genome-wide association studies is critical to differentiate true positives from false positives and false negatives. Different multiple testing comparison methods have been developed to determine the significance threshold; however, these methods may be overly conservative and may lead to an increase in false negatives. Here, we developed an empirical formula to determine the statistical significance threshold that is based on the marker-based heritability of the trait. To develop a formula for a significance threshold, we used 45 simulated traits in soybean, maize, and rice that varied in both broad sense heritability and the number of QTLs.

resultsA formula to determine a significance threshold was developed based on a regression equation that used one independent variable, marker-based heritability, and one response variable, - log

conclusionsOur formula was less conservative and identified more true positive associations than the false discovery rate and Bonferroni correction methods.

Indexed as

Genome-Wide Association StudyGenome, PlantPhenotypePolymorphism, Single NucleotideQuantitative Trait LociBonferroni correctionFalse discovery rateGenome-wide association studiesHeritabilitySignificant thresholdSingle nucleotide polymorphisms

Identifiers

PMID31357925
PMCPMC6664749

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.