Evidence map›Paper›PMID 24740207›Full record

Trial reportThe American journal of clinical nutrition2014

Genome-wide association study of circulating vitamin D-binding protein.

Kristin A Moy, Alison M Mondul, Han Zhang, Stephanie J Weinstein, William Wheeler, Charles C Chung, Satu Männistö, Kai Yu, Stephen J Chanock, Demetrius Albanes

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of clinical nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 8% 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
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  11. The plasma free fraction of 25-hydroxyvitamin DThe Journal of steroid biochemistry and molecular biology · 2023
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  15. The Association BetweenDiabetes, metabolic syndrome and obesity : targets and therapy · 2022
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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

10 authors at 3 institutions in 2 countries.

Kristin A MoyFrom the Nutritional Epidemiology Branch (KAM, AMM, SJW, and DA), Biostatistics Branch (HZ and KY), Cancer Genomics Research Laboratory (CCC), and Office of the Director (SJC), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; Information Management Services Inc, Silver Spring, MD (WW); and the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland (SM).
Alison M MondulFrom the Nutritional Epidemiology Branch (KAM, AMM, SJW, and DA), Biostatistics Branch (HZ and KY), Cancer Genomics Research Laboratory (CCC), and Office of the Director (SJC), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; Information Management Services Inc, Silver Spring, MD (WW); and the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland (SM).
Han ZhangFrom the Nutritional Epidemiology Branch (KAM, AMM, SJW, and DA), Biostatistics Branch (HZ and KY), Cancer Genomics Research Laboratory (CCC), and Office of the Director (SJC), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; Information Management Services Inc, Silver Spring, MD (WW); and the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland (SM).
Stephanie J WeinsteinFrom the Nutritional Epidemiology Branch (KAM, AMM, SJW, and DA), Biostatistics Branch (HZ and KY), Cancer Genomics Research Laboratory (CCC), and Office of the Director (SJC), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; Information Management Services Inc, Silver Spring, MD (WW); and the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland (SM).
William WheelerFrom the Nutritional Epidemiology Branch (KAM, AMM, SJW, and DA), Biostatistics Branch (HZ and KY), Cancer Genomics Research Laboratory (CCC), and Office of the Director (SJC), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; Information Management Services Inc, Silver Spring, MD (WW); and the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland (SM).
Charles C ChungFrom the Nutritional Epidemiology Branch (KAM, AMM, SJW, and DA), Biostatistics Branch (HZ and KY), Cancer Genomics Research Laboratory (CCC), and Office of the Director (SJC), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; Information Management Services Inc, Silver Spring, MD (WW); and the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland (SM).
Satu MännistöFrom the Nutritional Epidemiology Branch (KAM, AMM, SJW, and DA), Biostatistics Branch (HZ and KY), Cancer Genomics Research Laboratory (CCC), and Office of the Director (SJC), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; Information Management Services Inc, Silver Spring, MD (WW); and the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland (SM).
Kai YuFrom the Nutritional Epidemiology Branch (KAM, AMM, SJW, and DA), Biostatistics Branch (HZ and KY), Cancer Genomics Research Laboratory (CCC), and Office of the Director (SJC), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; Information Management Services Inc, Silver Spring, MD (WW); and the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland (SM).
Stephen J ChanockFrom the Nutritional Epidemiology Branch (KAM, AMM, SJW, and DA), Biostatistics Branch (HZ and KY), Cancer Genomics Research Laboratory (CCC), and Office of the Director (SJC), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; Information Management Services Inc, Silver Spring, MD (WW); and the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland (SM).
Demetrius AlbanesFrom the Nutritional Epidemiology Branch (KAM, AMM, SJW, and DA), Biostatistics Branch (HZ and KY), Cancer Genomics Research Laboratory (CCC), and Office of the Director (SJC), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; Information Management Services Inc, Silver Spring, MD (WW); and the Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland (SM).
National Institutes of Health · USFinnish Institute for Health and Welfare · FIInformation Management Services · US

Funding

Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) StudyZIACP010195 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBANES, DEMETRIUS · 2009 to 2025
$22.5M
U S-FINLAND STUDIES OF NUTRITION AND CANCERN01CN045165 · CN · NATIONAL PUBLIC HEALTH INSTITUTE · PI HEINONEN, OLLI P · 1985 to 1996
–
CCR NIH HHS HHSN261200800001CCCR NIH HHS N01 RC037004CCR NIH HHS N01-RC-37004CCR NIH HHS N01-RC-45035Intramural NIH HHSNCI NIH HHS HHSN261200800001ENCI NIH HHS HHSN261201000006CNCI NIH HHS N01 CN045165NCI NIH HHS N01-CN-45165
6 · The paper itself

Abstract

backgroundVitamin D status may influence a spectrum of health outcomes, including osteoporosis, arthritis, cardiovascular disease, and cancer. Vitamin D-binding protein (DBP) is the primary carrier of vitamin D in the circulation and regulates the bioavailability of 25-hydroxyvitamin D. Epidemiologic studies have shown direct DBP-risk relations and modification by DBP of vitamin D-disease associations.

objectiveWe aimed to characterize common genetic variants that influence the DBP biochemical phenotype.

designWe conducted a genome-wide association study (GWAS) of 1380 men through linear regression of single-nucleotide polymorphisms (SNPs) in the Illumina HumanHap500/550/610 array on fasting serum DBP, assuming an additive genetic model, with adjustment for age at blood collection.

resultsWe identified 2 independent SNPs located in the gene encoding DBP, GC, that were highly associated with serum DBP: rs7041 (P = 1.42 × 10⁻²⁴⁶) and rs705117 (P = 4.7 × 10⁻⁹¹). For both SNPs, mean serum DBP decreased with increasing copies of the minor allele: mean DBP concentrations (nmol/L) were 7335, 5149, and 3152 for 0, 1, and 2 copies of rs7041 (T), respectively, and 6339, 4280, and 2341, respectively, for rs705117 (G). DBP was also associated with rs12144344 (P = 5.9 × 10⁻⁷) in ST6GALNAC3.

conclusionsIn this GWAS analysis, to our knowledge the first to examine this biochemical phenotype, 2 variants in GC--one exonic and one intronic--were associated with serum DBP concentrations at the genome-wide level of significance. Understanding the genetic contributions to circulating DBP may provide greater insights into the vitamin D binding, transport, and other functions of DBP and the effect of vitamin D status on health outcomes.

Indexed as

Polymorphism, Single Nucleotide25-Hydroxyvitamin D 2AgedAllelesCalcifediolCase-Control StudiesCohort StudiesExonsFinlandGene FrequencyGenome-Wide Association StudyHumansIntronsLinear ModelsLinkage DisequilibriumMale25-Hydroxyvitamin D 2CalcifediolN-AcetylgalactosaminyltransferasesNeu5Ac N-acetylgalactosamine 2,6-sialyltransferasePolypeptide N-acetylgalactosaminyltransferaseSialyltransferasesVitamin D-Binding Protein

Identifiers

PMID24740207
PMCPMC4021784
OpenAlexW2089973565

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.