Multivariate genetic analysis of atopy phenotypes in a selected sample of twins

S. F. Thomsen, C. S. Ulrik, K. O. Kyvik, M. A. R. Ferreira, V. Backer (Copenhagen, Odense, Denmark; Brisbane, Australia)

Source: Annual Congress 2006 - Novel research results in genetics and epidemiology of airway diseases
Session: Novel research results in genetics and epidemiology of airway diseases
Session type: Poster Discussion
Number: 893
Disease area: Airway diseases

Congress or journal article abstract

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
S. F. Thomsen, C. S. Ulrik, K. O. Kyvik, M. A. R. Ferreira, V. Backer (Copenhagen, Odense, Denmark; Brisbane, Australia). Multivariate genetic analysis of atopy phenotypes in a selected sample of twins. Eur Respir J 2006; 28: Suppl. 50, 893

You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.

Member's Comments

No comment yet.
You must Login to comment this presentation.


Related content which might interest you:
Causal statistical models for analysis of multi-generation data: An analysis of father’s overweight and offspring height and lung function
Source: Virtual Congress 2020 – Does exposure long before conception influence future respiratory health?
Year: 2020


Quantitative genetic analysis of intermediate asthma phenotypes
Source: Annual Congress 2008 - Epidemiology of asthma and allergy
Year: 2008

High-dimensional multivariable analysis of asthma and its co-morbidities
Source: Virtual Congress 2020 – Precision endotyping of asthma: time for action
Year: 2020


Genetic heterogeneity of asthma phenotypes identified by a clustering approach
Source: Eur Respir J 2014; 43: 439-452
Year: 2013



Genetic and shared environmental factors do not confound the association between birth weight and childhood asthma: a Swedish twin study
Source: Annual Congress 2009 - Early life and childhood asthma - new results from old birth cohorts
Year: 2009


Cluster analysis and clinical asthma phenotypes
Source: Annual Congress 2013 –Severe asthma: moving from phenotyping to endotyping
Year: 2013


Distinguishing wheezing phenotypes in childhood: a pooled analysis of five birth cohorts
Source: International Congress 2018 – New developments in paediatric asthma
Year: 2018

Identification of asthma phenotypes using cluster analysis
Source: International Congress 2018 – Exploring the importance of daily physical activity in chronic respiratory disease
Year: 2018

Genetic and environmental influences on objective intermediate asthma phenotypes in Dutch twins
Source: Eur Respir J 2010; 36: 261
Year: 2010



Genome-wide prediction of childhood asthma and related phenotypes in a longitudinal birth cohort
Source: Annual Congress 2012 - Asthma and the genes: from GWAS to next generation transcriptome analyses
Year: 2012

Factor analysis in the study of genetic and environmental contributions to childhood asthma in a Scottish population
Source: Eur Respir J 2006; 28: Suppl. 50, 267s
Year: 2006

Genetic influence on smoking – a twin study
Source: Annual Congress 2007 - The versatile aspects of nicotine addiction
Year: 2007


A pooling based genome-wide analysis identifies new potential candidate genes for atopy in the echrs study
Source: Annual Congress 2009 - Asthma genetics: from genome wide to single nucleotide polymorphisms
Year: 2009

Linkage and haplotype analyses for chemokine receptors clustered in chromosome 3q21.3 in family pedigrees with asthma and atopy
Source: Eur Respir J 2004; 24: Suppl. 48, 135s
Year: 2004

Multiple regression analysis of remission in adult asthmatic patient
Source: Annual Congress 2007 - Epidemiology of asthma
Year: 2007


Cluster analysis to identify phenotypes in COPD
Source: Annual Congress 2009 - Quality of life and symptoms in COPD
Year: 2009

COPD subphenotypes in a population-based survey by factor and cluster analysis
Source: Annual Congress 2012 - COPD comorbidities II
Year: 2012

Genetic influences on the age at onset of asthma: a twin study
Source: Annual Congress 2009 - Environmental and genetic risk factors for asthma and COPD
Year: 2009

Extended NO analysis in a healthy subgroup in a random sample population
Source: Eur Respir J 2006; 28: Suppl. 50, 653s
Year: 2006

Identifying adult asthma phenotypes using a clustering approach
Source: Eur Respir J 2011; 38: 310-317
Year: 2011