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Full-Text Articles in Medicine and Health Sciences
Evidence For Association Between The Hla-Dqa Locus And Abdominal Aortic Aneurysms In The Belgian Population: A Case Control Study, Toru Ogata, Lucie Gregoire, Katrina Ab Goddard, Magdalena Skunca, Gerard Tromp, Wayne D. Lancaster, Antonio R. Parrado, Qing Lu, Hidenori Shibamura, Natzi Sakalihasan, Raymond Limet, Gerald L. Mackean, Claudette Arthur, Taijiro Sueda, Helena Kuivaniemi
Evidence For Association Between The Hla-Dqa Locus And Abdominal Aortic Aneurysms In The Belgian Population: A Case Control Study, Toru Ogata, Lucie Gregoire, Katrina Ab Goddard, Magdalena Skunca, Gerard Tromp, Wayne D. Lancaster, Antonio R. Parrado, Qing Lu, Hidenori Shibamura, Natzi Sakalihasan, Raymond Limet, Gerald L. Mackean, Claudette Arthur, Taijiro Sueda, Helena Kuivaniemi
Wayne State University Associated BioMed Central Scholarship
Abstract
Background
Chronic inflammation and autoimmunity likely contribute to the pathogenesis of abdominal aortic aneurysms (AAAs). The aim of this study was to investigate the role of autoimmunity in the etiology of AAAs using a genetic association study approach with HLA polymorphisms.
Methods
HLA-DQA1, -DQB1, -DRB1 and -DRB3-5 alleles were determined in 387 AAA cases (180 Belgian and 207 Canadian) and 426 controls (269 Belgian and 157 Canadian) by a PCR and single-strand oligonucleotide probe hybridization assay.
Results
We observed a potential association with the HLA-DQA1 locus among Belgian males (empirical p = 0.027, asymptotic p = 0.071). Specifically, there …
Predictors Of Self-Rated Health: A 12-Month Prospective Study Of It And Media Workers, Dan Hasson, Bengt B. Arnetz, Tã¶Res Theorell, Ulla Anderberg
Predictors Of Self-Rated Health: A 12-Month Prospective Study Of It And Media Workers, Dan Hasson, Bengt B. Arnetz, Tã¶Res Theorell, Ulla Anderberg
Wayne State University Associated BioMed Central Scholarship
Abstract
Objective
The aim of the present study was to determine health-related risk and salutogenic factors and to use these to construct prediction models for future self-rated health (SRH), i.e. find possible characteristics predicting individuals improving or worsening in SRH over time (0–12 months).
Methods
A prospective study was conducted with measurements (physiological markers and self-ratings) at 0, 6 and 12 months, involving 303 employees (187 men and 116 women, age 23–64) from four information technology and two media companies.
Results
There were a multitude of statistically significant cross-sectional correlations (Spearman's Rho) between SRH and other self-ratings as well as …