Evidence map›Paper›PMID 19260141›Full record

ArticleCroatian medical journal2009

Genome-wide association study of biochemical traits in Korcula Island, Croatia.

Tatijana Zemunik, Mladen Boban, Gordan Lauc, Stipan Janković, Kresimir Rotim, Zoran Vatavuk, Goran Bencić, Zoran Dogas, Vesna Boraska, Vesela Torlak and 13 more

Open access · diamondAbstract read
In one paragraph

Article in Croatian medical journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 5 pooled it
3.6field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 5 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  4. CUBN is a gene locus for albuminuria.Journal of the American Society of Nephrology : JASN · 2011
    Pooled it
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  6. Review
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  9. An update on the genetics of hyperuricaemia and gout.Nature reviews. Rheumatology · 2018
    Review
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  13. KIDNEY DISEASE GENETICS AND THE IMPORTANCE OF DIVERSITY IN PRECISION MEDICINE.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2016
    Article
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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

23 authors at 8 institutions in 2 countries.

Tatijana ZemunikUniversity of Split School of Medicine, Soltanska 2, 21000 Split, Croatia.
Mladen Boban
Gordan Lauc
Stipan Janković
Kresimir Rotim
Zoran Vatavuk
Goran Bencić
Zoran Dogas
Vesna Boraska
Vesela Torlak
Jelena Susac
Ivana Zobić
Diana Rudan
Drazen Pulanić
Darko Modun
Ivana Mudnić
Grgo Gunjaca
Danijela Budimir
Caroline Hayward
Veronique Vitart
Alan F Wright
Harry Campbell
Igor Rudan
University of Split · HRMedical Research Council · GBKlinička bolnica Merkur · HRPsychiatric Hospital Sveti Ivan · HRUniversity Hospital Centre Zagreb · HRUniversity Hospital Dubrava · HRUniversity of Edinburgh · GBUniversity of Zagreb · HR

Funding

Medical Research Council MC_U127561128
6 · The paper itself

Abstract

aimTo identify genetic variants underlying biochemical traits--total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides, uric acid, albumin, and fibrinogen, in a genome-wide association study in an isolated population where rare variants of larger effect may be more easily identified.

methodsThe study included 944 adult inhabitants of the island of Korcula, as a part of larger DNA-based genetic epidemiological study in 2007. Biochemical measurements were performed in a single laboratory with stringent internal and external quality control procedures. Examinees were genotyped using Human Hap370CNV chip by Illumina, with a genome-wide scan containing 346027 single nucleotide polymorphisms (SNP).

resultsA total of 31 SNPs were associated with 7 investigated traits at the level of P<1.00 x 10(-5). Nine of SNPs implicated the role of SLC2A9 in uric acid regulation (P=4.10 x 10(-6)-2.58 x 10(-12)), as previously found in other populations. All 22 remaining associations fell into the P=1.00 x 10(-5)-1.00 x 10(-6) significance range. One of them replicated the association between cholesteryl ester transfer protein (CETP) and HDL, and 7 associations were more than 100 kilobases away from the closest known gene. Nearby SNPs, rs4767631 and rs10444502, in gene kinase suppressor of ras 2 (KSR2) on chromosome 12 were associated with LDL cholesterol levels, and rs10444502 in the same gene with total cholesterol levels. Similarly, rs2839619 in gene PBX/knotted 1 homeobox 1 (PKNOX1) on chromosome 21 was associated with total and LDL cholesterol levels. The remaining 9 findings implied possible associations between phosphatidylethanolamine N-methyltransferase (PEMT) gene and total cholesterol; USP46, RAP1GDS1, and ZCCHC16 genes and triglycerides; BCAT1 and SLC14A2 genes and albumin; and NR3C2, GRIK2, and PCSK2 genes and fibrinogen.

conclusionAlthough this study was underpowered for most of the reported associations to reach formal threshold of genome-wide significance under the assumption of independent multiple testing, replications of previous findings and consistency of association between the identified variants and more than one studied trait make such findings interesting for further functional follow-up studies. Changed allele frequencies in isolate population may contribute to identifying variants that would not be easily identified in much larger samples in outbred populations.

Indexed as

Genetics, PopulationGenome-Wide Association StudyPolymorphism, GeneticAdolescentCroatiaFibrinogenHumansLipidsSerum AlbuminUric AcidYoung AdultFibrinogenLipidsSerum AlbuminUric Acid

Identifiers

PMID19260141
PMCPMC2657564
OpenAlexW2060248602

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.