Evidence map›Paper›PMID 26628212›Full record

ArticleBMC genetics2015

Serum bilirubin concentration is modified by UGT1A1 haplotypes and influences risk of type-2 diabetes in the Norfolk Island genetic isolate.

M C Benton, R A Lea, D Macartney-Coxson, C Bellis, M A Carless, J E Curran, M Hanna, D Eccles, G K Chambers, J Blangero and 1 more

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

11 authors at 3 institutions in 3 countries.

M C BentonGenomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia. m.benton@qut.edu.au.
R A LeaGenomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia. rodney.lea@qut.edu.au.
D Macartney-CoxsonKenepuru Science Centre, Institute of Environmental Science and Research, Wellington, 5240, New Zealand. Donia.Macartney@esr.cri.nz.
C BellisGenomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia. c.bellis@qut.edu.au.
M A CarlessTexas Biomedical Research Institute, San Antonio, TX, 78227-5301, USA. mcarless@txbiomed.org.
J E CurranTexas Biomedical Research Institute, San Antonio, TX, 78227-5301, USA. jcurran@txbiomedgenetics.org.
M HannaGenomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia. michelle.hanna@qut.edu.au.
D EcclesGenomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia. bioinformatics@gringene.org.
G K ChambersSchool of Biological Sciences, Victoria University of Wellington, Wellington, 6140, New Zealand. Geoff.Chambers@vuw.ac.nz.
J BlangeroSouth Texas Diabetes and Obesity Institute, University of Texas, Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA. Blangero@uthscsa.edu.
L R GriffithsGenomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia. lyn.griffiths@qut.edu.au.
Queensland University of Technology · AUTexas Biomedical Research Institute · USThe University of Texas Rio Grande Valley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLocated in the Pacific Ocean between Australia and New Zealand, the unique population isolate of Norfolk Island has been shown to exhibit increased prevalence of metabolic disorders (type-2 diabetes, cardiovascular disease) compared to mainland Australia. We investigated this well-established genetic isolate, utilising its unique genomic structure to increase the ability to detect related genetic markers. A pedigree-based genome-wide association study of 16 routinely collected blood-based clinical traits in 382 Norfolk Island individuals was performed.

resultsA striking association peak was located at chromosome 2q37.1 for both total bilirubin and direct bilirubin, with 29 SNPs reaching statistical significance (P < 1.84 × 10(-7)). Strong linkage disequilibrium was observed across a 200 kb region spanning the UDP-glucuronosyltransferase family, including UGT1A1, an enzyme known to metabolise bilirubin. Given the epidemiological literature suggesting negative association between CVD-risk and serum bilirubin we further explored potential associations using stepwise multivariate regression, revealing significant association between direct bilirubin concentration and type-2 diabetes risk. In the Norfolk Island cohort increased direct bilirubin was associated with a 28% reduction in type-2 diabetes risk (OR: 0.72, 95% CI: 0.57-0.91, P = 0.005). When adjusted for genotypic effects the overall model was validated, with the adjusted model predicting a 30% reduction in type-2 diabetes risk with increasing direct bilirubin concentrations (OR: 0.70, 95% CI: 0.53-0.89, P = 0.0001).

conclusionsIn summary, a pedigree-based GWAS of blood-based clinical traits in the Norfolk Island population has identified variants within the UDPGT family directly associated with serum bilirubin levels, which is in turn implicated with reduced risk of developing type-2 diabetes within this population.

Indexed as

Genetic Predisposition to DiseaseAllelesBase SequenceBilirubinCardiovascular DiseasesChromosomes, Human, Pair 2Diabetes Mellitus, Type 2Genes, RecessiveGenome-Wide Association StudyGlucuronosyltransferaseHaplotypesHumansInheritance PatternsLinkage DisequilibriumMelanesiaMetabolic SyndromeBilirubinGlucuronosyltransferaseUGT1A1 Enzyme

Identifiers

PMID26628212
PMCPMC4667444
OpenAlexW2181678218

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Registered trials

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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.