Evidence map›Paper›PMID 32158452›Full record

ArticleFrontiers in plant science2019

Comparing Different Statistical Models and Multiple Testing Corrections for Association Mapping in Soybean and Maize.

Avjinder S Kaler, Jason D Gillman, Timothy Beissinger, Larry C Purcell

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers.

0numbers the graph read from it
0cells of the map it votes in
144citing papers in PubMed
27.3field-weighted citation impact, top 1% of its field
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

144 citing papers in PubMed, 249 citations in OpenAlex.

  1. Unlocking the potential of spring wheat genetic resources: uncovering resistance sources against leaf rust and yellow rust.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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84 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

4 authors at 3 institutions in 2 countries.

Avjinder S KalerDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United States.
Jason D GillmanPlant Genetic Research Unit, USDA-ARS, Columbia, MO, United States.
Timothy BeissingerDivision of Plant Breeding Methodology, Center for Integrated Breeding Research, Georg-August-Universität, Göttingen, Germany.
Larry C PurcellDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United States.
University of Arkansas at Fayetteville · USAgricultural Research Service · USUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Association mapping (AM) is a powerful tool for fine mapping complex trait variation down to nucleotide sequences by exploiting historical recombination events. A major problem in AM is controlling false positives that can arise from population structure and family relatedness. False positives are often controlled by incorporating covariates for structure and kinship in mixed linear models (MLM). These MLM-based methods are single locus models and can introduce false negatives due to over fitting of the model. In this study, eight different statistical models, ranging from single-locus to multilocus, were compared for AM for three traits differing in heritability in two crop species: soybean (

Indexed as

association mappinggenome-wide association analysesmultiple testing correctionquantitative trait locistatistical model analysis

Identifiers

PMID32158452
PMCPMC7052329
OpenAlexW3007258529

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.