Scores of asthma and asthma severity reveal new regions of linkage in EGEA study families

Siroux, Valérie; Dizier, Marie‐Hélène; Lemainque, Arnaud; Pison, Christophe; Lathrop, Mark; Kauffmann, F.; Demenais, Florence; Pin, Isabelle

doi:10.1183/09031936.00162206

Cited by 27 publications

(24 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Interestingly, analysis of different bin widths delineated a chromosomal region (63-83 cM) that overlaps a locus identified for severe asthma in German families 39 and is located at 10 cM from a linkage signal detected in the French EGEA study for an asthma severity score. 40 For SPT, the strongest evidence of linkage in the analysis of all families arose in the 3p25.3-q24 region. This evidence was not sustained when restricting the analysis to EUR families, suggesting that this region may harbour a major susceptibility gene that is involved in all populations.…”

Section: Discussionmentioning

confidence: 98%

Meta-analysis of 20 genome-wide linkage studies evidenced new regions linked to asthma and atopy

et al. 2010

View full text Add to dashboard Cite

Asthma is caused by a heterogeneous combination of environmental and genetic factors. In the context of GA2LEN (Global Allergy and Asthma European Network), we carried out meta-analyses of almost all genome-wide linkage screens conducted to date in 20 independent populations from different ethnic origins (Z3024 families with Z10 027 subjects) for asthma, atopic asthma, bronchial hyper-responsiveness and five atopy-related traits (total immunoglobulin E level, positive skin test response (SPT) to at least one allergen or to House Dust Mite, quantitative score of SPT (SPTQ) and eosinophils (EOS)). We used the genome scan meta-analysis method to assess evidence for linkage within bins of traditionally 30-cM width, and explored the manner in which these results were affected by bin definition. Meta-analyses were conducted in all studies and repeated in families of European ancestry. Genome-wide evidence for linkage was detected for asthma in two regions (2p21-p14 and 6p21) in European families ascertained through two asthmatic sibs. With regard to atopy phenotypes, four regions reached genome-wide significance: 3p25.3-q24 in all families for SPT and three other regions in European families (2q32-q34 for EOS, 5q23-q33 for SPTQ and 17q12-q24 for SPT). Tests of heterogeneity showed consistent evidence of linkage of SPTQ to 3p11-3q21, whereas between-study heterogeneity was detected for asthma in 2p22-p13 and 6p21, and for atopic asthma in 1q23-q25. This large-scale meta-analysis provides an important resource of information that can be used to prioritize further fine-mapping studies and also be integrated with genome-wide association studies to increase power and better interpret the outcomes of these studies.

show abstract

Section: Discussionmentioning

confidence: 98%

Meta-analysis of 20 genome-wide linkage studies evidenced new regions linked to asthma and atopy

et al. 2010

View full text Add to dashboard Cite

show abstract

“…The approach that consists of combining clinical features with the level of asthma treatment to distinguish subgroups of subjects with a differential severity, as suggested by the GINA 2002 guidelines, has been suggested by epidemiological results in populations [20]. Furthermore, a genome-wide linkage analysis on asthma quantitative score conducted in the EGEA study showed that scoring asthma severity based on clinical items and asthma treatment increased power to detect linkage, compared with clinical items only [21].…”

Section: Discussionmentioning

confidence: 99%

Identifying adult asthma phenotypes using a clustering approach

Siroux¹,

Basagaña²,

Boudier³

et al. 2011

Eur Respir J

Self Cite

235

149

View full text Add to dashboard Cite

There is a need to improve asthma characterisation by integrating multiple aspects of the disease. The aim of the present study was to identify distinct asthma phenotypes by applying latent class analysis (LCA), a model-based clustering method, to two large epidemiological studies.Adults with asthma who participated in the follow-up of the Epidemiological Study on the Genetics and Environment of Asthma (EGEA2) (n5641) and the European Community Respiratory Health Survey (ECRHSII) (n51,895) were included. 19 variables covering personal characteristics, asthma symptoms, exacerbations and treatment, age of asthma onset, allergic characteristics, lung function and airway hyperresponsiveness were considered in the LCA.Four asthma phenotypes were distinguished by the LCA in each sample. Two phenotypes were similar in EGEA2 and ECRHSII: active treated allergic childhood-onset asthma and active treated adult-onset asthma. The other two phenotypes were composed of subjects with inactive or mild untreated asthma, who differed by atopy status and age of asthma onset (childhood or adulthood). The phenotypes clearly discriminated populations in terms of quality of life, and blood eosinophil and neutrophil counts.The LCAs revealed four distinct asthma phenotypes in each sample. Considering these more homogeneous phenotypes in future studies may lead to a better identification of risk factors for asthma.

show abstract

“…The severity of asthma is difficult to assess in epidemiological studies [25] and there is now a general consensus emerging that asthma is unlikely to be a single disease but different overlapping phenotypes [26]. It was recently shown that quantitative scores combining clinical items and treatment had good ability to detect risk factors by reducing misclassification of the disease status [27,28]. The new Global Initiative for Asthma (GINA) recommendations have evolved from severity to control and underlined the importance of asthma treatment [29].…”

Section: Discussionmentioning

confidence: 99%

Dietary patterns and asthma in the E3N study

Varraso¹,

Kauffmann²,

Leynaert³

et al. 2008

Eur Respir J

Self Cite

View full text Add to dashboard Cite

The aim of the present study was to determine dietary patterns and investigate their association with asthma incidence, current asthma and frequent asthma exacerbations.Dietary habits and asthma data were collected from the large E3N study (of French females, mostly teachers). Of the 54,672 females followed-up in 2003, 2,634 reported ever-adulthood asthma, 1,063 reported current asthma, 206 reported frequent asthma attacks (one or more a week), and 628 reported asthma onset between 1993 and 2003. Using principal component analysis, three dietary patterns were identified: the ''prudent'' pattern (fruits and vegetables); the ''Western'' pattern (pizza/salty pies, dessert and cured meats); and the ''nuts and wine'' pattern. Pattern scores were categorised into tertiles, and the incidence and prevalence of asthma was compared between tertiles.After adjustment for confounders, no association of dietary patterns was observed with asthma incidence, ever-asthma or current asthma. The Western pattern was associated with an increased risk of reporting frequent asthma attacks (highest versus lowest tertile odds ratio (OR) 1.79, 95% confidence interval (CI) 1.11-3.73). Increasing scores of the nuts and wine pattern were associated with a decreased risk of reporting frequent asthma attacks (highest versus lowest tertile OR 0.65, 95% CI 0.31-0.96).The results of the present study suggest that overall diet could be involved in frequent asthma exacerbations, one aspect of asthma severity.

show abstract

Scores of asthma and asthma severity reveal new regions of linkage in EGEA study families

Cited by 27 publications

References 30 publications

Meta-analysis of 20 genome-wide linkage studies evidenced new regions linked to asthma and atopy

Meta-analysis of 20 genome-wide linkage studies evidenced new regions linked to asthma and atopy

Identifying adult asthma phenotypes using a clustering approach

Dietary patterns and asthma in the E3N study

Contact Info

Product

Resources

About