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Allan Linneberg

Researcher at University of Copenhagen

Publications -  623
Citations -  58621

Allan Linneberg is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 85, co-authored 577 publications receiving 45508 citations. Previous affiliations of Allan Linneberg include Copenhagen University Hospital & Glostrup Hospital.

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Lack of association between the MTHFR (C677T) polymorphism and atopic disease.

TL;DR: This data indicates that a common polymorphism of the methylene‐tetrahydrofolate reductase (MTHFR)‐gene, a well‐known marker of impaired folate metabolism, may be a risk factor for asthma and atopic disease in women.
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The association of atopy with incidence of ischemic heart disease, stroke, and diabetes

TL;DR: The hypothesis that atopy is associated with higher risk of ischemic heart disease, stroke, or diabetes is not supported, however, a small-moderately increased risk cannot be excluded from the data.
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Analysis of heterogeneity and epistasis in physiological mixed populations by combined structural equation modelling and latent class analysis.

TL;DR: The major conclusions from this study are that the likelihood of detecting true association between genetic variants and complex traits increases tremendously when studied in physiological homogenous subpopulations and on inclusion of epistasis in the analysis, whereas epistasis is ubiquitous and should be the basis in modelling any biological process.

Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes

TL;DR: In this paper, the authors applied exome sequencing to identify novel associations of coding polymorphisms at minor allele frequencies (MAFs) > 1% with common metabolic phenotypes, including type 2 diabetes, BMI >27.5 kg/m2 and hypertension.
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Filaggrin gene mutations and risk of basal cell carcinoma

TL;DR: It is hoped that a case–control study will provide statistically sound data that will integrate data from case series such as those from the EMCPPTS Taskforce and will allow better evaluation of the risk–benefit balance related to the use of ketoprofen and other NSAIDs with regards to PACD.