Evidence map›Paper›PMID 31604824›Full record

ArticleG3 (Bethesda, Md.)2019

Selecting Closely-Linked SNPs Based on Local Epistatic Effects for Haplotype Construction Improves Power of Association Mapping.

Fang Liu, Renate H Schmidt, Jochen C Reif, Yong Jiang

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Genome-wide association study ofFrontiers in plant science · 2024
    Article
  4. Article
  5. Genomic prediction with haplotype blocks in wheat.Frontiers in plant science · 2023
    Article
  6. Analysis of associations between theFrontiers in cellular and infection microbiology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. 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

4 authors at 1 institution in 1 country.

Fang LiuDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Stadt Seeland, Germany.ORCID 0000-0002-3774-552X
Renate H SchmidtDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Stadt Seeland, Germany.ORCID 0000-0002-8037-3581
Jochen C ReifDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Stadt Seeland, Germany reif@ipk-gatersleben.de jiang@ipk-gatersleben.de.
Yong JiangDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Stadt Seeland, Germany reif@ipk-gatersleben.de jiang@ipk-gatersleben.de.ORCID 0000-0002-2824-677X
Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have gained central importance for the identification of candidate loci underlying complex traits. Single nucleotide polymorphism (SNP) markers are mostly used as genetic variants for the analysis of genotype-phenotype associations in populations, but closely linked SNPs that are grouped into haplotypes are also exploited. The benefit of haplotype-based GWAS approaches

Indexed as

Chromosome MappingEpistasis, GeneticGenome-Wide Association StudyArabidopsisFlowersGene FrequencyHaplotypesLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideQuantitative Trait LociTemperatureepistasisgenome-wide association studyhaplotype

Identifiers

PMID31604824
PMCPMC6893203
OpenAlexW2979461462

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.