Evidence map›Paper›PMID 27866268›Full record

ArticleMolecular genetics and genomics : MGG2017

A genome-wide association study of essential hypertension in an Australian population using a DNA pooling approach.

Javed Y Fowdar, Rebecca Grealy, Yi Lu, Lyn R Griffiths

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 18 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

4 authors at 3 institutions in 1 country.

Javed Y FowdarSchool of Medical Science, Griffith University, Gold Coast, Australia.
Rebecca GrealySchool of Medical Science, Griffith University, Gold Coast, Australia.
Yi LuGenetic Epidemiology Department, Queensland Institute of Medical Research, Brisbane, Australia.
Lyn R GriffithsGenomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, 60 Musk Ave, Kelvin Grove, Brisbane, QLD, 4059, Australia. lyn.griffiths@qut.edu.au.
Griffith University · AUQIMR Berghofer Medical Research Institute · AUQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the success of genome-wide association studies (GWAS) in detecting genetic loci involved in complex traits, few susceptibility genes have been detected for essential hypertension (EH). We aimed to use pooled DNA GWAS approach to identify and validate novel genomic loci underlying EH susceptibility in an Australian case-control population. Blood samples and questionnaires detailing medical history, blood pressure, and prescribed medications were collected for 409 hypertensives and 409 age-, sex- and ethnicity-matched normotensive controls. Case and control DNA were pooled in quadruplicate and hybridized to Illumina 1 M-Duo arrays. Allele frequencies agreed with those reported in reference data and known EH association signals were represented in the top-ranked SNPs more frequently than expected by chance. Validation showed that pooled DNA GWAS gave reliable estimates of case and control allele frequencies. Although no markers reached Bonferroni-corrected genome-wide significance levels (5.0 × 10

Indexed as

Genome-Wide Association StudyAustraliaCase-Control StudiesChromosome MappingEssential HypertensionEthnicityFemaleGene FrequencyGenetic MarkersGenetic Predisposition to DiseaseGenome, HumanGenotypeHumansHypertensionKruppel-Like Transcription FactorsLinkage DisequilibriumGenetic MarkersGLI2 protein, humanKruppel-Like Transcription FactorsNF-kappa B p50 SubunitNFKB1 protein, humanNuclear ProteinsZinc Finger Protein Gli2Essential hypertensionGenome-wide association studyGLI2NFKB1Pooled DNA

Identifiers

PMID27866268
OpenAlexW2556487951

What OpenQuestion holds

Textmetadata
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.