Evidence map›Paper›PMID 26474483›Full record

ArticlePLoS genetics2015

A Phenomic Scan of the Norfolk Island Genetic Isolate Identifies a Major Pleiotropic Effect Locus Associated with Metabolic and Renal Disorder Markers.

Miles C Benton, Rodney A Lea, Donia Macartney-Coxson, Michelle Hanna, David A Eccles, Melanie A Carless, Geoffrey K Chambers, Claire Bellis, Harald H Goring, Joanne E Curran and 4 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

14 authors at 6 institutions in 3 countries.

Miles C BentonGenomics Research Centre, Institute of Biomedical Health and Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
Rodney A LeaGenomics Research Centre, Institute of Biomedical Health and Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
Donia Macartney-CoxsonBiomarkers Group, Kenepuru Science Centre, Institute of Environmental Science and Research, Wellington, New Zealand.
Michelle HannaGenomics Research Centre, Institute of Biomedical Health and Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
David A EcclesGenomics Research Centre, Institute of Biomedical Health and Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
Melanie A CarlessTexas Biomedical Research Institute, San Antonio, Texas, United States of America.
Geoffrey K ChambersSchool of Biological Science, Victoria University of Wellington, Wellington, New Zealand.
Claire BellisTexas Biomedical Research Institute, San Antonio, Texas, United States of America.
Harald H GoringTexas Biomedical Research Institute, San Antonio, Texas, United States of America.
Joanne E CurranTexas Biomedical Research Institute, San Antonio, Texas, United States of America.
Jacquie L HarperMalaghan Institute of Medical Research, Wellington, New Zealand.
Gregory GibsonSchool of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
John BlangeroTexas Biomedical Research Institute, San Antonio, Texas, United States of America.
Lyn R GriffithsGenomics Research Centre, Institute of Biomedical Health and Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
Queensland University of Technology · AUTexas Biomedical Research Institute · USGeorgia Institute of Technology · USMalaghan Institute of Medical Research · NZNew Zealand Institute for Public Health and Forensic Science · NZVictoria University of Wellington · NZ

Funding

Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
NIMH NIH HHS R01 MH059490NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

Multiphenotype genome-wide association studies (GWAS) may reveal pleiotropic genes, which would remain undetected using single phenotype analyses. Analysis of large pedigrees offers the added advantage of more accurately assessing trait heritability, which can help prioritise genetically influenced phenotypes for GWAS analysis. In this study we performed a principal component analysis (PCA), heritability (h2) estimation and pedigree-based GWAS of 37 cardiovascular disease -related phenotypes in 330 related individuals forming a large pedigree from the Norfolk Island genetic isolate. PCA revealed 13 components explaining >75% of the total variance. Nine components yielded statistically significant h2 values ranging from 0.22 to 0.54 (P<0.05). The most heritable component was loaded with 7 phenotypic measures reflecting metabolic and renal dysfunction. A GWAS of this composite phenotype revealed statistically significant associations for 3 adjacent SNPs on chromosome 1p22.2 (P<1x10-8). These SNPs form a 42kb haplotype block and explain 11% of the genetic variance for this renal function phenotype. Replication analysis of the tagging SNP (rs1396315) in an independent US cohort supports the association (P = 0.000011). Blood transcript analysis showed 35 genes were associated with rs1396315 (P<0.05). Gene set enrichment analysis of these genes revealed the most enriched pathway was purine metabolism (P = 0.0015). Overall, our findings provide convincing evidence for a major pleiotropic effect locus on chromosome 1p22.2 influencing risk of renal dysfunction via purine metabolism pathways in the Norfolk Island population. Further studies are now warranted to interrogate the functional relevance of this locus in terms of renal pathology and cardiovascular disease risk.

Indexed as

Genetic PleiotropyGenetic Predisposition to DiseaseGenome-Wide Association StudyCardiovascular DiseasesFemaleHaplotypesHumansMaleMelanesiaPhenotypePolymorphism, Single NucleotidePrincipal Component Analysis

Identifiers

PMID26474483
PMCPMC4608754
OpenAlexW1844763596

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.