Elena Yu. Bragina

Elena Yu. Bragina


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 November 2015 in Nature Communications
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IMIngo Marenholz
Ingo Marenholz
JEJorge Esparza-Gordillo
Jorge Esparza-Gordillo
FRFranz Rüschendorf
Franz Rüschendorf
ABAnja Bauerfeind
Anja Bauerfeind
DSDavid P. Strachan
David P. Strachan
YLYoung Ae Lee
Young Ae Lee
Eczema often precedes the development of asthma in a disease course called the ‘atopic march’. To unravel the genes underlying this characteristic pattern of allergic disease, we conduct a multi-stage genome-wide association study on infantile eczema followed by childhood asthma in 12 populations including 2,428 cases and 17,034 controls. Here we report two novel loci specific for the combined eczema plus asthma phenotype, which are associated with allergic disease for the first time; rs9357733 located in EFHC1 on chromosome 6p12.3 (OR 1.27; P=2.1 × 10−8) and rs993226 between TMTC2 and SLC6A15 on chromosome 12q21.3 (OR 1.58; P=5.3 × 10−9). Additional susceptibility loci identified at genome-wide significance are FLG (1q21.3), IL4/KIF3A (5q31.1), AP5B1/OVOL1 (11q13.1), C11orf30/LRRC32 (11q13.5) and IKZF3 (17q21). We show that predominantly eczema loci increase the risk for the atopic march. Our findings suggest that eczema may play an important role in the development of asthma after eczema.

1 March 2014 in Journal of Allergy and Clinical Immunology
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SSSalome Scholtens
Salome Scholtens
DPDirkje S. Postma
Dirkje S. Postma
MMMiriam F. Moffatt
Miriam F. Moffatt
SPSviatlana Panasevich
Sviatlana Panasevich
RGRaquel Granell
Raquel Granell
HBH Marike Boezen
H Marike Boezen

8 November 2019 in Scientific Reports
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OZOlga Zolotareva
Olga Zolotareva
OSOlga V. Saik
Olga V. Saik
CKCassandra Königs
Cassandra Königs
EBElena Yu. Bragina
Elena Yu. Bragina
IGIrina A. Goncharova
Irina A. Goncharova
RHRalf Hofestädt
Ralf Hofestädt
Asthma and hypertension are complex diseases coinciding more frequently than expected by chance. Unraveling the mechanisms of comorbidity of asthma and hypertension is necessary for choosing the most appropriate treatment plan for patients with this comorbidity. Since both diseases have a strong genetic component in this article we aimed to find and study genes simultaneously associated with asthma and hypertension. We identified 330 shared genes and found that they form six modules on the interaction network. A strong overlap between genes associated with asthma and hypertension was found on the level of eQTL regulated genes and between targets of drugs relevant for asthma and hypertension. This suggests that the phenomenon of comorbidity of asthma and hypertension may be explained by altered genetic regulation or result from drug side effects. In this work we also demonstrate that not only drug indications but also contraindications provide an important source of molecular evidence helpful to uncover disease mechanisms. These findings give a clue to the possible mechanisms of comorbidity and highlight the direction for future research.

1 December 2016 in Infection, Genetics and Evolution
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Journal Article
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EBElena Yu. Bragina
Elena Yu. Bragina
ETEvgeny S. Tiys
Evgeny S. Tiys
ARAlexey A. Rudko
Alexey A. Rudko
VIVladimir A. Ivanisenko
Vladimir A. Ivanisenko
MFMaxim B. Freidin
Maxim B. Freidin

13 February 2018 in BMC Medical Genomics
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Olga V. SaikOlga V. Saik
Olga V. Saik
PDPavel S. Demenkov
Pavel S. Demenkov
TITimofey Vladimirovich Ivanisenko
Timofey Vladimirovich Ivanisenko
EBElena Yu. Bragina
Elena Yu. Bragina
MFMaxim Freidin
Maxim Freidin
VIVladimir A. Ivanisenko
Vladimir A. Ivanisenko
Hypertension and bronchial asthma are a major issue for people’s health. As of 2014, approximately one billion adults, or ~ 22% of the world population, have had hypertension. As of 2011, 235–330 million people globally have been affected by asthma and approximately 250,000–345,000 people have died each year from the disease. The development of the effective treatment therapies against these diseases is complicated by their comorbidity features. This is often a major problem in diagnosis and their treatment. Hence, in this study the bioinformatical methodology for the analysis of the comorbidity of these two diseases have been developed. As such, the search for candidate genes related to the comorbid conditions of asthma and hypertension can help in elucidating the molecular mechanisms underlying the comorbid condition of these two diseases, and can also be useful for genotyping and identifying new drug targets. Using ANDSystem, the reconstruction and analysis of gene networks associated with asthma and hypertension was carried out. The gene network of asthma included 755 genes/proteins and 62,603 interactions, while the gene network of hypertension - 713 genes/proteins and 45,479 interactions. Two hundred and five genes/proteins and 9638 interactions were shared between asthma and hypertension. An approach for ranking genes implicated in the comorbid condition of two diseases was proposed. The approach is based on nine criteria for ranking genes by their importance, including standard methods of gene prioritization (Endeavor, ToppGene) as well as original criteria that take into account the characteristics of an associative gene network and the presence of known polymorphisms in the analysed genes. According to the proposed approach, the genes IL10, TLR4, and CAT had the highest priority in the development of comorbidity of these two diseases. Additionally, it was revealed that the list of top genes is enriched with apoptotic genes and genes involved in biological processes related to the functioning of central nervous system. The application of methods of reconstruction and analysis of gene networks is a productive tool for studying the molecular mechanisms of comorbid conditions. The method put forth to rank genes by their importance to the comorbid condition of asthma and hypertension was employed that resulted in prediction of 10 genes, playing the key role in the development of the comorbid condition. The results can be utilised to plan experiments for identification of novel candidate genes along with searching for novel pharmacological targets.

24 June 2014 in Immunogenetics
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EBElena Yu. Bragina
Elena Yu. Bragina
ETEvgeny S. Tiys
Evgeny S. Tiys
MFMaxim Freidin
Maxim Freidin
LKLada A. Koneva
Lada A. Koneva
PDPavel S. Demenkov
Pavel S. Demenkov
VPValery P. Puzyrev
Valery P. Puzyrev