Evidence map›Paper›PMID 34593906›Full record

ArticleScientific reports2021

Multi-phenotype genome-wide association studies of the Norfolk Island isolate implicate pleiotropic loci involved in chronic kidney disease.

Ngan K Tran, Rodney A Lea, Samuel Holland, Quan Nguyen, Arti M Raghubar, Heidi G Sutherland, Miles C Benton, Larisa M Haupt, Nicholas B Blackburn, Joanne E Curran and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

13 authors at 5 institutions in 3 countries.

Ngan K Tran *School of Biomedical Sciences, Centre for Genomics and Personalised Health, Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD, 4059, Australia.
Rodney A Lea *School of Biomedical Sciences, Centre for Genomics and Personalised Health, Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD, 4059, Australia.
Samuel HollandInstitute for Molecular Bioscience & Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Quan NguyenInstitute for Molecular Bioscience & Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Arti M RaghubarInstitute for Molecular Bioscience & Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Heidi G SutherlandSchool of Biomedical Sciences, Centre for Genomics and Personalised Health, Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD, 4059, Australia.
Miles C BentonInstitute of Environmental Science and Research, Kenepuru, New Zealand.
Larisa M HauptSchool of Biomedical Sciences, Centre for Genomics and Personalised Health, Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD, 4059, Australia.
Nicholas B BlackburnSchool of Medicine, South Texas Diabetes and Obesity Institute, The University of Texas Rio Grande Valley, Brownsville, TX, USA.
Joanne E CurranSchool of Medicine, South Texas Diabetes and Obesity Institute, The University of Texas Rio Grande Valley, Brownsville, TX, USA.
John BlangeroSchool of Medicine, South Texas Diabetes and Obesity Institute, The University of Texas Rio Grande Valley, Brownsville, TX, USA.
Andrew J MallettInstitute for Molecular Bioscience & Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Lyn R GriffithsSchool of Biomedical Sciences, Centre for Genomics and Personalised Health, Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD, 4059, Australia. lyn.griffiths@qut.edu.au.
Queensland University of Technology · AUThe University of Queensland · AUThe University of Texas Rio Grande Valley · USNew Zealand Institute for Public Health and Forensic Science · NZUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a persistent impairment of kidney function. Genome-wide association studies (GWAS) have revealed multiple genetic loci associated with CKD susceptibility but the complete genetic basis is not yet clear. Since CKD shares risk factors with cardiovascular diseases and diabetes, there may be pleiotropic loci at play but may go undetected when using single phenotype GWAS. Here, we used multi-phenotype GWAS in the Norfolk Island isolate (n = 380) to identify new loci associated with CKD. We performed a principal components analysis on different combinations of 29 quantitative traits to extract principal components (PCs) representative of multiple correlated phenotypes. GWAS of a PC derived from glomerular filtration rate, serum creatinine, and serum urea identified a suggestive peak (p

Indexed as

Renal Insufficiency, ChronicAdultFemaleGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMelanesiaMiddle AgedPhenotypePolymorphism, Single NucleotideRisk Factors

Identifiers

PMID34593906
PMCPMC8484585
OpenAlexW3202132527

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.