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Association studies of novel obesity-related gene variants with quantitative metabolic phenotypes in a population-based sample of 6,039 Danish individuals.

https://arctichealth.org/en/permalink/ahliterature130945
Source
Diabetologia. 2012 Jan;55(1):105-13
Publication Type
Article
Date
Jan-2012
Author
K S Burgdorf
A P Gjesing
N. Grarup
J M Justesen
C H Sandholt
D R Witte
T. Jørgensen
S. Madsbad
T. Hansen
O. Pedersen
Author Affiliation
The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health Sciences, University of Copenhagen, Universitetsparken 1, DIKU Building, Room 1.1.N121, DK-2100 Copenhagen, Denmark. Kristoffer.Burgdorf@sund.ku.dk
Source
Diabetologia. 2012 Jan;55(1):105-13
Date
Jan-2012
Language
English
Publication Type
Article
Keywords
Aminoacyltransferases - genetics
Body mass index
Carrier state
Cross-Sectional Studies
Denmark
Female
Genetic Association Studies
Humans
Hyperinsulinism - complications - genetics
Insulin Resistance
Lysophospholipase - genetics
Male
Middle Aged
Models, Genetic
Obesity - complications - genetics
Polymorphism, Single Nucleotide
Receptors, LDL - genetics
Sex Characteristics
Vascular Endothelial Growth Factor A - genetics
Waist-Hip Ratio
Abstract
Genome-wide association studies have identified novel WHR and BMI susceptibility loci. The aim of this study was to elucidate if any of these loci had an effect on quantitative measures of glucose homeostasis, including estimates of insulin release and insulin sensitivity in an epidemiological setting.
By applying an additive genetic model, 14 WHR-associated gene variants and 18 BMI-associated variants were investigated for their relationships with glucose-related metabolic traits in treatment-naive individuals from the population-based Inter99 study sample (n?=?6,039).
Of the variants associated with BMI, the QPCTL rs2287019 C allele was associated with an increased insulinogenic index of 7.4% per risk allele (p?=?4.0?×?10?7) and increased disposition index of 5.6% (p?=?6.4?×?10?5). The LRP1B rs2890652 C allele was associated with insulin resistance, showing a 3.3% increase (p?=?0.0011) using the HOMA-insulin resistance (HOMA-IR) index and a 2.2% reduction (p?=?0.0014) with the Matsuda index. Of the variants associated with WHR, LYPLAL1/SLC30A10 rs4846567 G allele carriers showed a 5.2% lower HOMA-IR (p?=?0.00086) in women, indicating improved insulin sensitivity. Female carriers of the VEGFA rs6905288 A allele were insulin resistant, with a 3.7% increase in HOMA-IR (p?=?0.00036) and 4.0% decrease in Matsuda index (p?=?2?×?10?4).
Our correlative findings from analysing single-locus data suggest that some variation in validated BMI and WHR loci are associated with either increased or decreased insulin sensitivity and thereby potentially with metabolically healthy or metabolically unhealthy subsets of obesity. The results call for testing in larger study samples and for further physiological exploration of the possible metabolic implications of these loci.
PubMed ID
21953277 View in PubMed
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Digital questionnaire platform in the Danish Blood Donor Study.

https://arctichealth.org/en/permalink/ahliterature280970
Source
Comput Methods Programs Biomed. 2016 Oct;135:101-4
Publication Type
Article
Date
Oct-2016
Author
K S Burgdorf
N. Felsted
S. Mikkelsen
M H Nielsen
L W Thørner
O B Pedersen
E. Sørensen
K R Nielsen
M T Bruun
T. Werge
C. Erikstrup
T. Hansen
H. Ullum
Source
Comput Methods Programs Biomed. 2016 Oct;135:101-4
Date
Oct-2016
Language
English
Publication Type
Article
Keywords
Blood Donors
Denmark
Female
Humans
Male
Surveys and Questionnaires
Abstract
The Danish Blood Donor Study (DBDS) is a prospective, population-based study and biobank. Since 2010, 100,000 Danish blood donors have been included in the study. Prior to July 2015 all participating donors had to complete a paper-based questionnaire. Here we describe the establishment of a digital tablet-based questionnaire platform implemented in blood bank sites across Denmark.
The digital questionnaire was developed using the open source survey software tool LimeSurvey. The participants accesses the questionnaire online with a standard SSL encrypted HTTP connection using their personal civil registration numbers. The questionnaire is placed at a front-end web server and a collection server retrieves the completed questionnaires. Data from blood samples, register data, genetic data and verification of signed informed consent are then transferred to and merged with the questionnaire data in the DBDS database.
The digital platform enables personalized questionnaires, presenting only questions relevant to the specific donor by hiding unneeded follow-up questions on screening question results. New versions of questionnaires are immediately available at all blood collection facilities when new projects are initiated.
The digital platform is a faster, cost-effective and more flexible solution to collect valid data from participating donors compared to paper-based questionnaires. The overall system can be used around the world by the use of Internet connection, but the level of security depends on the sensitivity of the data to be collected.
PubMed ID
27586483 View in PubMed
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