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Yamada M, Takase M, Nakaya K, Nakamura T, Kogure M, Nakaya N, Fujino N, Tamada T, Iwasaki C, Suzuki M, Matsumoto S, Fuse N, Uruno A, Kumada K, Ogishima S, Kuriyama S, Ichinose M, Sugiura H, Hozawa A. Fractional exhaled nitric oxide distribution and its relevant factors in the general adult population and its healthy subpopulation. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. GLOBAL 2024; 3:100253. [PMID: 38745867 PMCID: PMC11090912 DOI: 10.1016/j.jacig.2024.100253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 02/14/2024] [Accepted: 02/23/2024] [Indexed: 05/16/2024]
Abstract
Background Measurement of fractional exhaled nitric oxide (Feno) has been used in the diagnosis and management of asthma. Understanding the distribution of Feno in a larger resident population and its "healthy" subpopulation would contribute to the interpretation of Feno in clinical practice. Objective This study aimed to investigate the distribution and its associated factors in the adult population and its healthy subpopulations. Methods We conducted a cross-sectional study of 8,638 men and 17,288 women aged 20 years or older living in Miyagi prefecture, Japan. We investigated the distribution of Feno and its associated factors in all subjects, a subpopulation with no history of upper and lower airway diseases (healthy subpopulation 1), and a subpopulation with no history of upper and lower airway diseases, normal lung function, and no positivity for other biomarkers of type 2 inflammation (healthy subpopulation 2). Results The distribution of Feno in healthy subpopulations, especially in healthy subpopulation 2 (median [interquartile range], 17 [12-23] with 95th percentile of 36 ppb) was lower than in all subjects (19 [13-26] ppb with 95th percentile of 47 ppb). In healthy subpopulation 1, 10.3% had elevated Feno (≥35 ppb), and elevated Feno was positively associated with factors including obstructive ventilatory defect, blood eosinophilia, house dust mite-specific IgE positivity, and history of hypertension. Male sex was associated with elevated Feno in all subjects and healthy subpopulations. Conclusion The distribution of Feno in the healthy subpopulation supports the validity of the criteria (≥35 ppb) currently used in Japan for the diagnosis of asthma.
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Affiliation(s)
- Mitsuhiro Yamada
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masato Takase
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kumi Nakaya
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | | | - Mana Kogure
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naoki Nakaya
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naoya Fujino
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tsutomu Tamada
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Chikashi Iwasaki
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Manami Suzuki
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Shuichiro Matsumoto
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Nobuo Fuse
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Akira Uruno
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kazuki Kumada
- Department of Biobank, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Soichi Ogishima
- Department of Health Record Informatics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | | | - Hisatoshi Sugiura
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Atsushi Hozawa
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
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Almacioglu M, Keskin O, Ozkars MY, Balci SO, Kucukosmanoglu E, Pehlivan S, Keskin M. Association of childhood asthma with Gasdermin B (GSDMB) and Oromucoid-like 3 (ORMDL3) genes. North Clin Istanb 2023; 10:769-777. [PMID: 38328715 PMCID: PMC10846573 DOI: 10.14744/nci.2023.22120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/19/2022] [Accepted: 01/29/2023] [Indexed: 02/17/2023] Open
Abstract
OBJECTIVE Genome-length association studies have shown that Gasdermin B (GSDMB) and Orosomucoid-like 3 (ORMDL3) genes located on the long arm of chromosome 17 are associated with asthma. In this study, it was aimed to determine the possible relationship between asthma control test (ACT), exercise provocation test (ECT), and fractional nitric oxide (FENO) levels and GSDMB and ORMDL3 gene expressions. METHODS 59 asthmatic and 38 non-asthmatic children were included in the study. We divided the patient group into two subgroups as mild persistent asthma (29 patients) and moderate persistent asthma (30 patients). ORMDL3, GSDMB gene expression levels, ECT, total IgE levels, and eosinophil counts were measured in all cases. In addition, ACT and FeNO levels were measured in children with asthma. Afterward, the relationship of ORMDL3 and GSDMB gene expression coefficient changes with ECT, ACT, and FeNO was examined. RESULTS When patients with ACT ≤15 were compared with patients with ACT ≥20, ORMDL3 and GSDMB gene expressions were increased 6.74 and 11.74 times, respectively. Comparing patients with ACT ≥20 and ACT ≤15 in terms of coefficient changes (ΔCq), higher change values were observed for ΔCq ORMDL3 in patients with ACT ≤15 (p=0.015). Similarly, when patients with FENO ≤25 ppb were compared with patients with FENO >25 ppb, ORMDL3 and GSDMB gene expressions were increased by 2.93 and 3.56 times, respectively. When the coefficient changes were compared, no significant difference was found between FENO≤25 and FENO >25 patients. There was a slight negative correlation between ΔCq values and ACT score (p=0.003, r=-0.418 for ORMDL3, and p=0.016, r=-0.345 for GSDMB). In addition, we observed a statistically significant positive correlation between ORMDL3 and GSDMB gene expressions (r=0.80, p<0.001). CONCLUSION We showed that increased ORMDL3 and GSDMB gene expression levels may be associated with ACT scores, FeNO and ECT in asthma. These findings may encourage future studies with larger numbers of subjects that can use gene expression levels in various asthma phenotypes for prognostic prediction.
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Affiliation(s)
- Mehmet Almacioglu
- Department of Pediatrics, SANKO University Faculty of Medicine, Gaziantep, Turkiye
| | - Ozlem Keskin
- Department of Pediatric Allergy and Immunology, Gaziantep University Faculty of Medicine, Gaziantep, Turkiye
| | - Mehmet Yasar Ozkars
- Department of Pediatric Allergy and Immunology, Gaziantep University Faculty of Medicine, Gaziantep, Turkiye
| | - Sibel Oguzkan Balci
- Department of Biology, Gaziantep University Faculty of Medicine, Gaziantep, Turkiye
| | - Ercan Kucukosmanoglu
- Department of Pediatric Allergy and Immunology, Gaziantep University Faculty of Medicine, Gaziantep, Turkiye
| | - Sacide Pehlivan
- Department of Biology, Istanbul University Faculty of Medicine, Istanbul, Turkiye
| | - Mehmet Keskin
- Department of Pediatrics, Gaziantep University Faculty of Medicine, Gaziantep, Turkiye
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Accordini S, Lando V, Calciano L, Bombieri C, Malerba G, Margagliotti A, Minelli C, Potts J, van der Plaat DA, Olivieri M. SNPs in FAM13Aand IL2RBgenes are associated with FeNO in adult subjects with asthma. J Breath Res 2023; 18:016001. [PMID: 37733009 DOI: 10.1088/1752-7163/acfbf1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 09/21/2023] [Indexed: 09/22/2023]
Abstract
Nitric oxide has different roles in asthma as both an endogenous modulator of airway function and a pro-inflammatory mediator. Fractional exhaled nitric oxide (FeNO) is a reliable, quantitative, non-invasive, simple, and safe biomarker for assessing airways inflammation in asthma. Previous genome-wide and genetic association studies have shown that different genes and single nucleotide polymorphisms (SNPs) are linked to FeNO. We aimed at identifying SNPs in candidate genes or gene regions that are associated with FeNO in asthma. We evaluated 264 asthma cases (median age 42.8 years, female 47.7%) who had been identified in the general adult population within the Gene Environment Interactions in Respiratory Diseases survey in Verona (Italy; 2008-2010). Two hundred and twenty-one tag-SNPs, which are representative of 50 candidate genes, were genotyped by a custom GoldenGate Genotyping Assay. A two-step association analysis was performed without assuming ana priorigenetic model: step (1) a machine learning technique [gradient boosting machine (GBM)] was used to select the 15 SNPs with the highest variable importance measure; step (2) the GBM-selected SNPs were jointly tested in a linear regression model with natural log-transformed FeNO as the normally distributed outcome and with age, sex, and the SNPs as covariates. We replicated our results within an independent sample of 296 patients from the European Community Respiratory Health Survey III. We found that SNP rs987314 in family with sequence similarity 13 member A (FAM13A) and SNP rs3218258 in interleukin 2 receptor subunit beta (IL2RB) gene regions are significantly associated with FeNO in adult subjects with asthma. These genes are involved in different mechanisms that affect smooth muscle constriction and endothelial barrier function responses (FAM13A), or in immune response processes (IL2RB). Our findings contribute to the current knowledge on FeNO in asthma by identifying two novel SNPs associated with this biomarker of airways inflammation.
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Affiliation(s)
- Simone Accordini
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona 37134, Italy
| | - Valentina Lando
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona 37134, Italy
| | - Lucia Calciano
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona 37134, Italy
| | - Cristina Bombieri
- Biology and Genetics Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona 37134, Italy
| | - Giovanni Malerba
- Biology and Genetics Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona 37134, Italy
| | - Antonino Margagliotti
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona 37134, Italy
| | - Cosetta Minelli
- National Heart and Lung Institute, Imperial College London, London SW3 6LR, United Kingdom
| | - James Potts
- National Heart and Lung Institute, Imperial College London, London SW3 6LR, United Kingdom
| | - Diana A van der Plaat
- National Heart and Lung Institute, Imperial College London, London SW3 6LR, United Kingdom
| | - Mario Olivieri
- Retired Professor of Occupational Medicine, University of Verona, Verona, Italy
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Kress S, Kilanowski A, Wigmann C, Zhao Q, Zhao T, Abramson MJ, Gappa M, Standl M, Unfried K, Schikowski T. Airway inflammation in adolescents and elderly women: Chronic air pollution exposure and polygenic susceptibility. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 841:156655. [PMID: 35697214 DOI: 10.1016/j.scitotenv.2022.156655] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 06/01/2022] [Accepted: 06/08/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND AIM The fractional exhaled nitric oxide (FeNO) concentration in the exhaled breath is a biomarker for eosinophilic airway inflammation. We explored the interplay between chronic air pollution exposure and polygenic susceptibility to airway inflammation at different critical age stages. METHODS Adolescents (15 yr) enrolled in the GINIplus/LISA birth cohorts (n = 2434) and 220 elderly women (75 yr on average) enrolled in the SALIA cohort with FeNO measurements available were investigated. Environmental main effects of the mean of ESCAPE land-use regression air pollutant concentrations within a time window of 15 years and main effects of the polygenic risk scores (PRS) using internal weights from elastic net regression of genome-wide derived single nucleotide polymorphisms were investigated. Furthermore, we examined gene-environment interaction (GxE) effects on natural log-transformed FeNO levels by adjusted linear regression models. RESULTS While we observed no significant environmental and polygenic main effects on airway inflammation in either age group, we found robust harmful effects of chronic nitrogen dioxide (NO2) exposure in the GxE models for elderly women (16.2 % increase in FeNO, p-value = 0.027). Stratified analyses found GxE effects between the PRS and chronic NO2 exposure in never-smoker elderly women and in adolescents without any inflammatory respiratory conditions. CONCLUSIONS FeNO measurement is a useful biomarker to detect higher risk of NO2-induced eosinophilic airway inflammation in the elderly. There was limited evidence for GxE effects on airway inflammation in adolescents or the elderly. Further GxE studies in subpopulations should be conducted to investigate the assumption that susceptibility to airway inflammation differs between age stages.
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Affiliation(s)
- Sara Kress
- IUF - Leibniz Research Institute for Environmental Medicine, Auf'm Hennekamp 50, Düsseldorf 40225, Germany; Medical Research School Düsseldorf, Heinrich Heine University, Universitätsstraße 1, Düsseldorf 40225, Germany.
| | - Anna Kilanowski
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstädter Landstr. 1, Neuherberg 85764, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology; Pettenkofer School of Public Health, LMU Munich, Geschwister-Scholl-Platz 1, Munich 80539, Germany; Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Lindwurmstr. 4, Munich 80337, Germany.
| | - Claudia Wigmann
- IUF - Leibniz Research Institute for Environmental Medicine, Auf'm Hennekamp 50, Düsseldorf 40225, Germany.
| | - Qi Zhao
- IUF - Leibniz Research Institute for Environmental Medicine, Auf'm Hennekamp 50, Düsseldorf 40225, Germany; Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 West Wenhua Road, Jinan City 250012, Shandong Province, China; School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia.
| | - Tianyu Zhao
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstädter Landstr. 1, Neuherberg 85764, Germany.
| | - Michael J Abramson
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia.
| | - Monika Gappa
- Department of Paediatrics, Evangelisches Krankenhaus, Kirchfeldstraße 40, Düsseldorf 40217, Germany.
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstädter Landstr. 1, Neuherberg 85764, Germany; German Center for Lung Research (DZL), Aulweg 130, Gießen 35392, Germany.
| | - Klaus Unfried
- IUF - Leibniz Research Institute for Environmental Medicine, Auf'm Hennekamp 50, Düsseldorf 40225, Germany.
| | - Tamara Schikowski
- IUF - Leibniz Research Institute for Environmental Medicine, Auf'm Hennekamp 50, Düsseldorf 40225, Germany.
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5
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Kühnapfel A, Horn K, Klotz U, Kiehntopf M, Rosolowski M, Loeffler M, Ahnert P, Suttorp N, Witzenrath M, Scholz M. Genetic Regulation of Cytokine Response in Patients with Acute Community-Acquired Pneumonia. Genes (Basel) 2022; 13:genes13010111. [PMID: 35052452 PMCID: PMC8774373 DOI: 10.3390/genes13010111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 12/21/2021] [Accepted: 12/21/2021] [Indexed: 02/05/2023] Open
Abstract
Background: Community-acquired pneumonia (CAP) is an acute disease condition with a high risk of rapid deteriorations. We analysed the influence of genetics on cytokine regulation to obtain a better understanding of patient’s heterogeneity. Methods: For up to N = 389 genotyped participants of the PROGRESS study of hospitalised CAP patients, we performed a genome-wide association study of ten cytokines IL-1β, IL-6, IL-8, IL-10, IL-12, MCP-1 (MCAF), MIP-1α (CCL3), VEGF, VCAM-1, and ICAM-1. Consecutive secondary analyses were performed to identify independent hits and corresponding causal variants. Results: 102 SNPs from 14 loci showed genome-wide significant associations with five of the cytokines. The most interesting associations were found at 6p21.1 for VEGF (p = 1.58 × 10−20), at 17q21.32 (p = 1.51 × 10−9) and at 10p12.1 (p = 2.76 × 10−9) for IL-1β, at 10p13 for MIP-1α (CCL3) (p = 2.28 × 10−9), and at 9q34.12 for IL-10 (p = 4.52 × 10−8). Functionally plausible genes could be assigned to the majority of loci including genes involved in cytokine secretion, granulocyte function, and cilial kinetics. Conclusion: This is the first context-specific genetic association study of blood cytokine concentrations in CAP patients revealing numerous biologically plausible candidate genes. Two of the loci were also associated with atherosclerosis with probable common or consecutive pathomechanisms.
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Affiliation(s)
- Andreas Kühnapfel
- Institute for Medical Informatics, Statistics and Epidemiology, Medical Faculty, Leipzig University, 04103 Leipzig, Germany; (K.H.); (U.K.); (M.R.); (M.L.); (P.A.); (M.S.)
- Correspondence:
| | - Katrin Horn
- Institute for Medical Informatics, Statistics and Epidemiology, Medical Faculty, Leipzig University, 04103 Leipzig, Germany; (K.H.); (U.K.); (M.R.); (M.L.); (P.A.); (M.S.)
| | - Ulrike Klotz
- Institute for Medical Informatics, Statistics and Epidemiology, Medical Faculty, Leipzig University, 04103 Leipzig, Germany; (K.H.); (U.K.); (M.R.); (M.L.); (P.A.); (M.S.)
| | - Michael Kiehntopf
- Institute for Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, 07740 Jena, Germany;
| | - Maciej Rosolowski
- Institute for Medical Informatics, Statistics and Epidemiology, Medical Faculty, Leipzig University, 04103 Leipzig, Germany; (K.H.); (U.K.); (M.R.); (M.L.); (P.A.); (M.S.)
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology, Medical Faculty, Leipzig University, 04103 Leipzig, Germany; (K.H.); (U.K.); (M.R.); (M.L.); (P.A.); (M.S.)
| | - Peter Ahnert
- Institute for Medical Informatics, Statistics and Epidemiology, Medical Faculty, Leipzig University, 04103 Leipzig, Germany; (K.H.); (U.K.); (M.R.); (M.L.); (P.A.); (M.S.)
| | - Norbert Suttorp
- Division of Infectiology and Pneumonology, Medical Department, Charité—Berlin University Medicine, 13353 Berlin, Germany; (N.S.); (M.W.)
| | - Martin Witzenrath
- Division of Infectiology and Pneumonology, Medical Department, Charité—Berlin University Medicine, 13353 Berlin, Germany; (N.S.); (M.W.)
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, Medical Faculty, Leipzig University, 04103 Leipzig, Germany; (K.H.); (U.K.); (M.R.); (M.L.); (P.A.); (M.S.)
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6
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Crespo-Piazuelo D, Ramayo-Caldas Y, González-Rodríguez O, Pascual M, Quintanilla R, Ballester M. A Co-Association Network Analysis Reveals Putative Regulators for Health-Related Traits in Pigs. Front Immunol 2021; 12:784978. [PMID: 34899750 PMCID: PMC8662732 DOI: 10.3389/fimmu.2021.784978] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 11/08/2021] [Indexed: 11/25/2022] Open
Abstract
In recent years, the increase in awareness of antimicrobial resistance together with the societal demand of healthier meat products have driven attention to health-related traits in livestock production. Previous studies have reported medium to high heritabilities for these traits and described genomic regions associated with them. Despite its genetic component, health- and immunity-related traits are complex and its study by association analysis with genomic markers may be missing some information. To analyse multiple phenotypes and gene-by-gene interactions, systems biology approaches, such as the association weight matrix (AWM), allows combining genome wide association study results with network inference algorithms. The present study aimed to identify gene networks, key regulators and candidate genes associated to immunocompetence in pigs by integrating multiple health-related traits, enriched for innate immune phenotypes, using the AWM approach. The co-association network analysis unveiled a network comprised of 3,636 nodes (genes) and 451,407 edges (interactions), including a total of 246 regulators. From these, five genes (ARNT2, BRMS1L, MED12L, SUPT3H and TRIM25) were selected as key regulators as they were associated with the maximum number of genes with the minimum overlapping (1,827 genes in total). The five regulators were involved in pathways related to immunity such as lymphocyte differentiation and activation, platelet activation and degranulation, megakaryocyte differentiation, FcγR-mediated phagocytosis and response to nitric oxide, among others, but also in immunometabolism. Furthermore, we identified genes co-associated with the key regulators previously reported as candidate genes (e.g., ANGPT1, CD4, CD36, DOCK1, PDE4B, PRKCE, PTPRC and SH2B3) for immunity traits in humans and pigs, but also new candidate ones (e.g., ACSL3, CXADR, HBB, MMP12, PTPN6, WLS) that were not previously described. The co-association analysis revealed new regulators associated with health-related traits in pigs. This approach also identified gene-by-gene interactions and candidate genes involved in pathways related to cell fate and metabolic and immune functions. Our results shed new light in the regulatory mechanisms involved in pig immunity and reinforce the use of the pig as biomedical model.
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Affiliation(s)
- Daniel Crespo-Piazuelo
- Animal Breeding and Genetics Programme, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Yuliaxis Ramayo-Caldas
- Animal Breeding and Genetics Programme, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Olga González-Rodríguez
- Animal Breeding and Genetics Programme, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Mariam Pascual
- Animal Breeding and Genetics Programme, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Raquel Quintanilla
- Animal Breeding and Genetics Programme, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Maria Ballester
- Animal Breeding and Genetics Programme, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Torre Marimon, Caldes de Montbui, Spain
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7
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Yamada M, Motoike IN, Kojima K, Fuse N, Hozawa A, Kuriyama S, Katsuoka F, Tadaka S, Shirota M, Sakurai M, Nakamura T, Hamanaka Y, Suzuki K, Sugawara J, Ogishima S, Uruno A, Kodama EN, Fujino N, Numakura T, Ichikawa T, Mitsune A, Ohe T, Kinoshita K, Ichinose M, Sugiura H, Yamamoto M. Genetic loci for lung function in Japanese adults with adjustment for exhaled nitric oxide levels as airway inflammation indicator. Commun Biol 2021; 4:1288. [PMID: 34782693 PMCID: PMC8593164 DOI: 10.1038/s42003-021-02813-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 10/27/2021] [Indexed: 11/08/2022] Open
Abstract
Lung function reflects the ability of the respiratory system and is utilized for the assessment of respiratory diseases. Because type 2 airway inflammation influences lung function, genome wide association studies (GWAS) for lung function would be improved by adjustment with an indicator of the inflammation. Here, we performed a GWAS for lung function with adjustment for exhaled nitric oxide (FeNO) levels in two independent Japanese populations. Our GWAS with genotype imputations revealed that the RNF5/AGER locus including AGER rs2070600 SNP, which introduces a G82S substitution of AGER, was the most significantly associated with FEV1/FVC. Three other rare missense variants of AGER were further identified. We also found genetic loci with three candidate genes (NOS2, SPSB2 and RIPOR2) associated with FeNO levels. Analyses with the BioBank-Japan GWAS resource revealed genetic links of FeNO and asthma-related traits, and existence of common genetic background for allergic diseases and their biomarkers. Our study identified the genetic locus most strongly associated with airway obstruction in the Japanese population and three genetic loci associated with FeNO, an indicator of type 2 airway inflammation in adults.
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Affiliation(s)
- Mitsuhiro Yamada
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ikuko N Motoike
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kaname Kojima
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Nobuo Fuse
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fumiki Katsuoka
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Shu Tadaka
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Matsuyuki Shirota
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Miyuki Sakurai
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tomohiro Nakamura
- Department of Health Record Informatics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Yohei Hamanaka
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kichiya Suzuki
- Department of Biobank, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Junichi Sugawara
- Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Soichi Ogishima
- Department of Health Record Informatics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Akira Uruno
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Eiichi N Kodama
- Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naoya Fujino
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tadahisa Numakura
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tomohiro Ichikawa
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ayumi Mitsune
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Takashi Ohe
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kengo Kinoshita
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
- Department of System Bioinformatics, Tohoku University Graduate School of Information Sciences, Sendai, Japan
| | | | - Hisatoshi Sugiura
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masayuki Yamamoto
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
- Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan.
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8
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Hedman AM, Kuja-Halkola R, Örtqvist AK, van Hage M, Almqvist C, Nordlund B. Genetic effects of allergen-specific IgE levels on exhaled nitric oxide in schoolchildren with asthma: The STOPPA twin study. Pediatr Allergy Immunol 2021; 32:709-719. [PMID: 33349970 PMCID: PMC8248142 DOI: 10.1111/pai.13438] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 12/08/2020] [Accepted: 12/16/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND Exhaled nitric oxide and blood eosinophils are clinical asthma T-helper type 2 markers in use. Immunoglobulin E (IgE) is often involved in the inflammation associated with atopic asthma. The effect of both blood eosinophils and allergen-specific IgE on exhaled nitric oxide levels is not completely understood. Twin-design studies can improve understanding of the underlying contribution of genetically and/or environmentally driven inflammation markers in asthma. Our aim was to disentangle the covariance between asthma and exhaled nitric oxide into genetic and environmental contributions that can account for inflammation markers in a paediatric population. METHODS This population-based, cross-sectional twin study enrolled 612 monozygotic (MZ) and same-sex dizygotic (DZ) schoolchildren. Multivariate structural equation modelling was utilized to separate the covariance between asthma and exhaled nitric oxide into genetic and/or environmental effects, taking allergen-specific IgE level and blood eosinophil count into account while controlling for confounding factors. RESULTS The cross-twin/cross-trait correlations had a higher magnitude in the MZ twins than in the DZ twins, indicating that genes affect the association. The likelihood ratio test for model fitting resulted in the AE model (ie additive genetic effects, A, and non-shared environmental effects, E) as the most parsimonious. A majority, 73%, of the phenotypic correlation between asthma and exhaled nitric oxide, r = .19 (0.05-0.33), was attributable to genetic effects which mainly was due to the allergen-specific IgE level. CONCLUSIONS This study indicates that the association between asthma and exhaled nitric oxide in children is to a large extent explained by genetics via allergen-specific IgE level and not blood eosinophils. This might partly explain the clinical heterogeneity in this group. A next step could be to include allergen-specific IgE level in multivariate omic studies.
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Affiliation(s)
- Anna M Hedman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anne K Örtqvist
- Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.,Department of Obstetrics and Gynecology, Visby lasarett, Gotland, Sweden
| | - Marianne van Hage
- Division of Immunology and Allergy, Department of Medicine Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Pediatric Allergy and Pulmonology Unit, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Björn Nordlund
- Pediatric Allergy and Pulmonology Unit, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden.,Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
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9
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Hernandez-Pacheco N, Vijverberg SJ, Herrera-Luis E, Li J, Sio YY, Granell R, Corrales A, Maroteau C, Lethem R, Perez-Garcia J, Farzan N, Repnik K, Gorenjak M, Soares P, Karimi L, Schieck M, Pérez-Méndez L, Berce V, Tavendale R, Eng C, Sardon O, Kull I, Mukhopadhyay S, Pirmohamed M, Verhamme KMC, Burchard EG, Kabesch M, Hawcutt DB, Melén E, Potočnik U, Chew FT, Tantisira KG, Turner S, Palmer CN, Flores C, Pino-Yanes M, Maitland-van der Zee AH. Genome-wide association study of asthma exacerbations despite inhaled corticosteroid use. Eur Respir J 2021; 57:2003388. [PMID: 33303529 PMCID: PMC8122045 DOI: 10.1183/13993003.03388-2020] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 11/09/2020] [Indexed: 02/07/2023]
Abstract
RATIONALE Substantial variability in response to asthma treatment with inhaled corticosteroids (ICS) has been described among individuals and populations, suggesting the contribution of genetic factors. Nonetheless, only a few genes have been identified to date. We aimed to identify genetic variants associated with asthma exacerbations despite ICS use in European children and young adults and to validate the findings in non-Europeans. Moreover, we explored whether a gene-set enrichment analysis could suggest potential novel asthma therapies. METHODS A genome-wide association study (GWAS) of asthma exacerbations was tested in 2681 children of European descent treated with ICS from eight studies. Suggestive association signals were followed up for replication in 538 European asthma patients. Further evaluation was performed in 1773 non-Europeans. Variants revealed by published GWAS were assessed for replication. Additionally, gene-set enrichment analysis focused on drugs was performed. RESULTS 10 independent variants were associated with asthma exacerbations despite ICS treatment in the discovery phase (p≤5×10-6). Of those, one variant at the CACNA2D3-WNT5A locus was nominally replicated in Europeans (rs67026078; p=0.010), but this was not validated in non-European populations. Five other genes associated with ICS response in previous studies were replicated. Additionally, an enrichment of associations in genes regulated by trichostatin A treatment was found. CONCLUSIONS The intergenic region of CACNA2D3 and WNT5A was revealed as a novel locus for asthma exacerbations despite ICS treatment in European populations. Genes associated were related to trichostatin A, suggesting that this drug could regulate the molecular mechanisms involved in treatment response.
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Affiliation(s)
- Natalia Hernandez-Pacheco
- Research Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
- Genomics and Health Group, Dept of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, San Cristóbal de La Laguna, Spain
| | - Susanne J Vijverberg
- Dept of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Division of Pharmacoepidemiology and Clinical Pharmacology, Faculty of Science, Utrecht University, Utrecht, The Netherlands
- Dept of Paediatric Respiratory Medicine and Allergy, Emma's Children Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Esther Herrera-Luis
- Genomics and Health Group, Dept of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, San Cristóbal de La Laguna, Spain
| | - Jiang Li
- The Channing Division of Network Medicine, Dept of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Yang Yie Sio
- Dept of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Raquel Granell
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Almudena Corrales
- Research Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Cyrielle Maroteau
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Ryan Lethem
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Javier Perez-Garcia
- Genomics and Health Group, Dept of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, San Cristóbal de La Laguna, Spain
| | - Niloufar Farzan
- Dept of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Division of Pharmacoepidemiology and Clinical Pharmacology, Faculty of Science, Utrecht University, Utrecht, The Netherlands
- Breathomix B.V., El Reeuwijk, The Netherlands
| | - Katja Repnik
- Center for Human Molecular Genetics and Pharmacogenomics, Faculty of Medicine, University of Maribor, Maribor, Slovenia
- Laboratory for Biochemistry, Molecular Biology and Genomics, Faculty for Chemistry and Chemical Engineering, University of Maribor, Maribor, Slovenia
| | - Mario Gorenjak
- Center for Human Molecular Genetics and Pharmacogenomics, Faculty of Medicine, University of Maribor, Maribor, Slovenia
| | - Patricia Soares
- Academic Dept of Paediatrics, Brighton and Sussex Medical School, Royal Alexandra Children's Hospital, Brighton, UK
- Escola Nacional de Saúde Pública, Lisboa, Portugal
| | - Leila Karimi
- Dept of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Maximilian Schieck
- Dept of Paediatric Pneumology and Allergy, University Children's Hospital Regensburg (KUNO), Regensburg, Germany
- Dept of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Lina Pérez-Méndez
- Research Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
- Dept of Clinic Epidemiology and Biostatistics, Research Unit, Hospital Universitario N.S. de Candelaria, Gerencia de Atención Primaria, Santa Cruz de Tenerife, Spain
| | - Vojko Berce
- Center for Human Molecular Genetics and Pharmacogenomics, Faculty of Medicine, University of Maribor, Maribor, Slovenia
- Dept of Paediatrics, University Medical Centre Maribor, Maribor, Slovenia
| | - Roger Tavendale
- Population Pharmacogenetics Group, Biomedical Research Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Celeste Eng
- Dept of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Olaia Sardon
- Division of Paediatric Respiratory Medicine, Hospital Universitario Donostia, San Sebastián, Spain
- Dept of Paediatrics, University of the Basque Country (UPV/EHU), San Sebastián, Spain
| | - Inger Kull
- Dept of Clinical Sciences and Education Södersjukhuset, Karolinska Institutet and Sachs' Children's Hospital, Stockholm, Sweden
| | - Somnath Mukhopadhyay
- Academic Dept of Paediatrics, Brighton and Sussex Medical School, Royal Alexandra Children's Hospital, Brighton, UK
- Population Pharmacogenetics Group, Biomedical Research Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Munir Pirmohamed
- Dept of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Katia M C Verhamme
- Dept of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Esteban G Burchard
- Dept of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Dept of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Michael Kabesch
- Dept of Paediatric Pneumology and Allergy, University Children's Hospital Regensburg (KUNO), Regensburg, Germany
| | - Daniel B Hawcutt
- Dept of Women's and Children's Health, University of Liverpool, Liverpool, UK
- Alder Hey Children's Hospital, Liverpool, UK
| | - Erik Melén
- Dept of Clinical Sciences and Education Södersjukhuset, Karolinska Institutet and Sachs' Children's Hospital, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Solna, Sweden
| | - Uroš Potočnik
- Center for Human Molecular Genetics and Pharmacogenomics, Faculty of Medicine, University of Maribor, Maribor, Slovenia
- Laboratory for Biochemistry, Molecular Biology and Genomics, Faculty for Chemistry and Chemical Engineering, University of Maribor, Maribor, Slovenia
| | - Fook Tim Chew
- Dept of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Kelan G Tantisira
- The Channing Division of Network Medicine, Dept of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Dept of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Steve Turner
- Child Health, University of Aberdeen, Aberdeen, UK
| | - Colin N Palmer
- Population Pharmacogenetics Group, Biomedical Research Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Carlos Flores
- Research Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
- Instituto de Tecnologías Biomédicas (ITB), Universidad de La Laguna, San Cristóbal de La Laguna, Spain
| | - Maria Pino-Yanes
- Research Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
- Genomics and Health Group, Dept of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, San Cristóbal de La Laguna, Spain
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Tecnologías Biomédicas (ITB), Universidad de La Laguna, San Cristóbal de La Laguna, Spain
- These authors contributed equally to this work
| | - Anke H Maitland-van der Zee
- Dept of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Division of Pharmacoepidemiology and Clinical Pharmacology, Faculty of Science, Utrecht University, Utrecht, The Netherlands
- Dept of Paediatric Respiratory Medicine and Allergy, Emma's Children Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- These authors contributed equally to this work
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10
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Liang J, Cade BE, He KY, Wang H, Lee J, Sofer T, Williams S, Li R, Chen H, Gottlieb DJ, Evans DS, Guo X, Gharib SA, Hale L, Hillman DR, Lutsey PL, Mukherjee S, Ochs-Balcom HM, Palmer LJ, Rhodes J, Purcell S, Patel SR, Saxena R, Stone KL, Tang W, Tranah GJ, Boerwinkle E, Lin X, Liu Y, Psaty BM, Vasan RS, Cho MH, Manichaikul A, Silverman EK, Barr RG, Rich SS, Rotter JI, Wilson JG, Redline S, Zhu X. Sequencing Analysis at 8p23 Identifies Multiple Rare Variants in DLC1 Associated with Sleep-Related Oxyhemoglobin Saturation Level. Am J Hum Genet 2019; 105:1057-1068. [PMID: 31668705 PMCID: PMC6849112 DOI: 10.1016/j.ajhg.2019.10.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Accepted: 10/02/2019] [Indexed: 01/05/2023] Open
Abstract
Average arterial oxyhemoglobin saturation during sleep (AvSpO2S) is a clinically relevant measure of physiological stress associated with sleep-disordered breathing, and this measure predicts incident cardiovascular disease and mortality. Using high-depth whole-genome sequencing data from the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) project and focusing on genes with linkage evidence on chromosome 8p23,1,2 we observed that six coding and 51 noncoding variants in a gene that encodes the GTPase-activating protein (DLC1) are significantly associated with AvSpO2S and replicated in independent subjects. The combined DLC1 association evidence of discovery and replication cohorts reaches genome-wide significance in European Americans (p = 7.9 × 10-7). A risk score for these variants, built on an independent dataset, explains 0.97% of the AvSpO2S variation and contributes to the linkage evidence. The 51 noncoding variants are enriched in regulatory features in a human lung fibroblast cell line and contribute to DLC1 expression variation. Mendelian randomization analysis using these variants indicates a significant causal effect of DLC1 expression in fibroblasts on AvSpO2S. Multiple sources of information, including genetic variants, gene expression, and methylation, consistently suggest that DLC1 is a gene associated with AvSpO2S.
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Affiliation(s)
- Jingjing Liang
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA
| | - Karen Y He
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Stephanie Williams
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Ruitong Li
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Daniel J Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA; VA Boston Healthcare System, Boston, MA 02132, USA
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90509, USA; Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90509, USA
| | - Sina A Gharib
- Department of Medicine, Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, University of Washington, Seattle, WA 98195, USA
| | - Lauren Hale
- Family, Population, and Preventive Medicine, Program in Public Health, Stony Brook University School of Medicine, Stony Brook, NY 11794, USA
| | - David R Hillman
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia 6009, Australia
| | - Pamela L Lutsey
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Sutapa Mukherjee
- Sleep Health Service, Respiratory and Sleep Service, Southern Adelaide Local Health Network, Adelaide, South Australia 5042, Australia; Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia 5042, Australia
| | - Heather M Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY 14214, USA
| | - Lyle J Palmer
- School of Public Health, University of Adelaide, South Australia 5000, Australia
| | - Jessica Rhodes
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA(19)Center for Genomic Medicine and Department of Anesthesia, Pain and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Anesthesia, Pain and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Shaun Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA
| | - Sanjay R Patel
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA(19)Center for Genomic Medicine and Department of Anesthesia, Pain and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Anesthesia, Pain and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Katie L Stone
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Weihong Tang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55454, USA
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA 98101, USA; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, USA
| | - Ramachandran S Vasan
- Framingham Heart Study, Framingham, MA 01702, USA; Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA; Section Cardiology, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA; Department of Public Health Sciences, Biostatistics Section, University of Virginia, Charlottesville, VA 22908, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY 10032, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90509, USA; Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90509, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA; Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.
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11
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Middeldorp CM, Felix JF, Mahajan A, McCarthy MI. The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects. Eur J Epidemiol 2019; 34:279-300. [PMID: 30887376 PMCID: PMC6447695 DOI: 10.1007/s10654-019-00502-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 01/25/2019] [Indexed: 11/14/2022]
Abstract
The impact of many unfavorable childhood traits or diseases, such as low birth weight and mental disorders, is not limited to childhood and adolescence, as they are also associated with poor outcomes in adulthood, such as cardiovascular disease. Insight into the genetic etiology of childhood and adolescent traits and disorders may therefore provide new perspectives, not only on how to improve wellbeing during childhood, but also how to prevent later adverse outcomes. To achieve the sample sizes required for genetic research, the Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia were established. The majority of the participating cohorts are longitudinal population-based samples, but other cohorts with data on early childhood phenotypes are also involved. Cohorts often have a broad focus and collect(ed) data on various somatic and psychiatric traits as well as environmental factors. Genetic variants have been successfully identified for multiple traits, for example, birth weight, atopic dermatitis, childhood BMI, allergic sensitization, and pubertal growth. Furthermore, the results have shown that genetic factors also partly underlie the association with adult traits. As sample sizes are still increasing, it is expected that future analyses will identify additional variants. This, in combination with the development of innovative statistical methods, will provide detailed insight on the mechanisms underlying the transition from childhood to adult disorders. Both consortia welcome new collaborations. Policies and contact details are available from the corresponding authors of this manuscript and/or the consortium websites.
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Affiliation(s)
- Christel M Middeldorp
- Child Health Research Centre, University of Queensland, Brisbane, QLD, Australia.
- Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Service, Brisbane, QLD, Australia.
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT, Amsterdam, The Netherlands.
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CE, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CE, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, 3015 CE, Rotterdam, The Netherlands
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LE, UK
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LE, UK
- Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, Churchill Hospital, Oxford, OX3 7LE, UK
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12
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Torgerson DG, Ballard PL, Keller RL, Oh SS, Huntsman S, Hu D, Eng C, Burchard EG, Ballard RA. Ancestry and genetic associations with bronchopulmonary dysplasia in preterm infants. Am J Physiol Lung Cell Mol Physiol 2018; 315:L858-L869. [PMID: 30113228 DOI: 10.1152/ajplung.00073.2018] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Bronchopulmonary dysplasia in premature infants is a common and often severe lung disease with long-term sequelae. A genetic component is suspected but not fully defined. We performed an ancestry and genome-wide association study to identify variants, genes, and pathways associated with survival without bronchopulmonary dysplasia in 387 high-risk infants treated with inhaled nitric oxide in the Trial of Late Surfactant study. Global African genetic ancestry was associated with increased survival without bronchopulmonary dysplasia among infants of maternal self-reported Hispanic white race/ethnicity [odds ratio (OR) = 4.5, P = 0.01]. Admixture mapping found suggestive outcome associations with local African ancestry at chromosome bands 18q21 and 10q22 among infants of maternal self-reported African-American race/ethnicity. For all infants, the top individual variant identified was within the intron of NBL1, which is expressed in midtrimester lung and is an antagonist of bone morphogenetic proteins ( rs372271081 , OR = 0.17, P = 7.4 × 10-7). The protective allele of this variant was significantly associated with lower nitric oxide metabolites in the urine of non-Hispanic white infants ( P = 0.006), supporting a role in the racial differential response to nitric oxide. Interrogating genes upregulated in bronchopulmonary dysplasia lungs indicated association with variants in CCL18, a cytokine associated with fibrosis and interstitial lung disease, and pathway analyses implicated variation in genes involved in immune/inflammatory processes in response to infection and mechanical ventilation. Our results suggest that genetic variation related to lung development, drug metabolism, and immune response contribute to individual and racial/ethnic differences in respiratory outcomes following inhaled nitric oxide treatment of high-risk premature infants.
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Affiliation(s)
- Dara G Torgerson
- Department of Pediatrics, University of California , San Francisco, California
| | - Philip L Ballard
- Department of Pediatrics, University of California , San Francisco, California
| | - Roberta L Keller
- Department of Pediatrics, University of California , San Francisco, California
| | - Sam S Oh
- Department of Medicine, University of California , San Francisco, California
| | - Scott Huntsman
- Department of Medicine, University of California , San Francisco, California
| | - Donglei Hu
- Department of Medicine, University of California , San Francisco, California
| | - Celeste Eng
- Department of Medicine, University of California , San Francisco, California
| | - Esteban G Burchard
- Department of Medicine, University of California , San Francisco, California.,Department of Bioengineering and Therapeutic Sciences, University of California , San Francisco, California
| | - Roberta A Ballard
- Department of Pediatrics, University of California , San Francisco, California
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13
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Warrington NM, Shevroja E, Hemani G, Hysi PG, Jiang Y, Auton A, Boer CG, Mangino M, Wang CA, Kemp JP, McMahon G, Medina-Gomez C, Hickey M, Trajanoska K, Wolke D, Ikram MA, Montgomery GW, Felix JF, Wright MJ, Mackey DA, Jaddoe VW, Martin NG, Tung JY, Davey Smith G, Pennell CE, Spector TD, van Meurs J, Rivadeneira F, Medland SE, Evans DM. Genome-wide association study identifies nine novel loci for 2D:4D finger ratio, a putative retrospective biomarker of testosterone exposure in utero. Hum Mol Genet 2018; 27:2025-2038. [PMID: 29659830 PMCID: PMC5961159 DOI: 10.1093/hmg/ddy121] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2017] [Revised: 03/12/2018] [Accepted: 04/03/2018] [Indexed: 02/06/2023] Open
Abstract
The ratio of the length of the index finger to that of the ring finger (2D:4D) is sexually dimorphic and is commonly used as a non-invasive biomarker of prenatal androgen exposure. Most association studies of 2D:4D ratio with a diverse range of sex-specific traits have typically involved small sample sizes and have been difficult to replicate, raising questions around the utility and precise meaning of the measure. In the largest genome-wide association meta-analysis of 2D:4D ratio to date (N = 15 661, with replication N = 75 821), we identified 11 loci (9 novel) explaining 3.8% of the variance in mean 2D:4D ratio. We also found weak evidence for association (β = 0.06; P = 0.02) between 2D:4D ratio and sensitivity to testosterone [length of the CAG microsatellite repeat in the androgen receptor (AR) gene] in females only. Furthermore, genetic variants associated with (adult) testosterone levels and/or sex hormone-binding globulin were not associated with 2D:4D ratio in our sample. Although we were unable to find strong evidence from our genetic study to support the hypothesis that 2D:4D ratio is a direct biomarker of prenatal exposure to androgens in healthy individuals, our findings do not explicitly exclude this possibility, and pathways involving testosterone may become apparent as the size of the discovery sample increases further. Our findings provide new insight into the underlying biology shaping 2D:4D variation in the general population.
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Affiliation(s)
- Nicole M Warrington
- The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD 4102, Australia
- Queensland Institute of Medical Research, Brisbane, QLD 4006, Australia
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, WA 6009, Australia
| | - Enisa Shevroja
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - Pirro G Hysi
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | | | - Adam Auton
- 23andMe, Inc., Mountain View, CA 94061, USA
| | - Cindy G Boer
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Carol A Wang
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, WA 6009, Australia
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, NSW 2308, Australia
| | - John P Kemp
- The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD 4102, Australia
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - George McMahon
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - Carolina Medina-Gomez
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Martha Hickey
- Department of Obstetrics and Gynaecology, The University of Melbourne and the Royal Women’s Hospital, Parkville, VIC 3052, Australia
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Dieter Wolke
- Department of Psychology and Warwick Medical School, University of Warwick, Coventry CV47AL, UK
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | | | - Grant W Montgomery
- Queensland Brain Institute and Centre for Advanced Imaging, University of Queensland, Brisbane, QLD 4072, Australia
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Margaret J Wright
- Queensland Brain Institute and Centre for Advanced Imaging, University of Queensland, Brisbane, QLD 4072, Australia
| | - David A Mackey
- Lions Eye Institute, Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, WA 6009, Australia
| | - Vincent W Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Nicholas G Martin
- Queensland Institute of Medical Research, Brisbane, QLD 4006, Australia
| | | | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - Craig E Pennell
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, WA 6009, Australia
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, NSW 2308, Australia
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Joyce van Meurs
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
| | - Fernando Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Sarah E Medland
- Queensland Institute of Medical Research, Brisbane, QLD 4006, Australia
| | - David M Evans
- The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD 4102, Australia
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
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14
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Warrington NM, Shevroja E, Hemani G, Hysi PG, Jiang Y, Auton A, Boer CG, Mangino M, Wang CA, Kemp JP, McMahon G, Medina-Gomez C, Hickey M, Trajanoska K, Wolke D, Ikram MA, Montgomery GW, Felix JF, Wright MJ, Mackey DA, Jaddoe VW, Martin NG, Tung JY, Davey Smith G, Pennell CE, Spector TD, van Meurs J, Rivadeneira F, Medland SE, Evans DM. Genome-wide association study identifies nine novel loci for 2D:4D finger ratio, a putative retrospective biomarker of testosterone exposure in utero. Hum Mol Genet 2018; 27:2025-2038. [PMID: 29659830 PMCID: PMC5961159 DOI: 10.1093/hmg/ddy121 10.1093/hmg/ddy121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2017] [Revised: 03/12/2018] [Accepted: 04/03/2018] [Indexed: 10/22/2023] Open
Abstract
The ratio of the length of the index finger to that of the ring finger (2D:4D) is sexually dimorphic and is commonly used as a non-invasive biomarker of prenatal androgen exposure. Most association studies of 2D:4D ratio with a diverse range of sex-specific traits have typically involved small sample sizes and have been difficult to replicate, raising questions around the utility and precise meaning of the measure. In the largest genome-wide association meta-analysis of 2D:4D ratio to date (N = 15 661, with replication N = 75 821), we identified 11 loci (9 novel) explaining 3.8% of the variance in mean 2D:4D ratio. We also found weak evidence for association (β = 0.06; P = 0.02) between 2D:4D ratio and sensitivity to testosterone [length of the CAG microsatellite repeat in the androgen receptor (AR) gene] in females only. Furthermore, genetic variants associated with (adult) testosterone levels and/or sex hormone-binding globulin were not associated with 2D:4D ratio in our sample. Although we were unable to find strong evidence from our genetic study to support the hypothesis that 2D:4D ratio is a direct biomarker of prenatal exposure to androgens in healthy individuals, our findings do not explicitly exclude this possibility, and pathways involving testosterone may become apparent as the size of the discovery sample increases further. Our findings provide new insight into the underlying biology shaping 2D:4D variation in the general population.
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Affiliation(s)
- Nicole M Warrington
- The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD 4102, Australia
- Queensland Institute of Medical Research, Brisbane, QLD 4006, Australia
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, WA 6009, Australia
| | - Enisa Shevroja
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - Pirro G Hysi
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | | | - Adam Auton
- 23andMe, Inc., Mountain View, CA 94061, USA
| | - Cindy G Boer
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Carol A Wang
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, WA 6009, Australia
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, NSW 2308, Australia
| | - John P Kemp
- The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD 4102, Australia
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - George McMahon
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - Carolina Medina-Gomez
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Martha Hickey
- Department of Obstetrics and Gynaecology, The University of Melbourne and the Royal Women’s Hospital, Parkville, VIC 3052, Australia
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Dieter Wolke
- Department of Psychology and Warwick Medical School, University of Warwick, Coventry CV47AL, UK
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | | | - Grant W Montgomery
- Queensland Brain Institute and Centre for Advanced Imaging, University of Queensland, Brisbane, QLD 4072, Australia
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Margaret J Wright
- Queensland Brain Institute and Centre for Advanced Imaging, University of Queensland, Brisbane, QLD 4072, Australia
| | - David A Mackey
- Lions Eye Institute, Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, WA 6009, Australia
| | - Vincent W Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Nicholas G Martin
- Queensland Institute of Medical Research, Brisbane, QLD 4006, Australia
| | | | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - Craig E Pennell
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, WA 6009, Australia
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, NSW 2308, Australia
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Joyce van Meurs
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
| | - Fernando Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Sarah E Medland
- Queensland Institute of Medical Research, Brisbane, QLD 4006, Australia
| | - David M Evans
- The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD 4102, Australia
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
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15
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Felix JF, Joubert BR, Baccarelli AA, Sharp GC, Almqvist C, Annesi-Maesano I, Arshad H, Baïz N, Bakermans-Kranenburg MJ, Bakulski KM, Binder EB, Bouchard L, Breton CV, Brunekreef B, Brunst KJ, Burchard EG, Bustamante M, Chatzi L, Cheng Munthe-Kaas M, Corpeleijn E, Czamara D, Dabelea D, Davey Smith G, De Boever P, Duijts L, Dwyer T, Eng C, Eskenazi B, Everson TM, Falahi F, Fallin MD, Farchi S, Fernandez MF, Gao L, Gaunt TR, Ghantous A, Gillman MW, Gonseth S, Grote V, Gruzieva O, Håberg SE, Herceg Z, Hivert MF, Holland N, Holloway JW, Hoyo C, Hu D, Huang RC, Huen K, Järvelin MR, Jima DD, Just AC, Karagas MR, Karlsson R, Karmaus W, Kechris KJ, Kere J, Kogevinas M, Koletzko B, Koppelman GH, Küpers LK, Ladd-Acosta C, Lahti J, Lambrechts N, Langie SAS, Lie RT, Liu AH, Magnus MC, Magnus P, Maguire RL, Marsit CJ, McArdle W, Melén E, Melton P, Murphy SK, Nawrot TS, Nisticò L, Nohr EA, Nordlund B, Nystad W, Oh SS, Oken E, Page CM, Perron P, Pershagen G, Pizzi C, Plusquin M, Raikkonen K, Reese SE, Reischl E, Richiardi L, Ring S, Roy RP, Rzehak P, Schoeters G, Schwartz DA, Sebert S, Snieder H, Sørensen TIA, Starling AP, Sunyer J, Taylor JA, Tiemeier H, Ullemar V, Vafeiadi M, Van Ijzendoorn MH, Vonk JM, Vriens A, Vrijheid M, Wang P, Wiemels JL, Wilcox AJ, Wright RJ, Xu CJ, Xu Z, Yang IV, Yousefi P, Zhang H, Zhang W, Zhao S, Agha G, Relton CL, Jaddoe VWV, London SJ. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium. Int J Epidemiol 2018; 47:22-23u. [PMID: 29025028 PMCID: PMC5837319 DOI: 10.1093/ije/dyx190] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/24/2017] [Indexed: 12/21/2022] Open
Affiliation(s)
- Janine F Felix
- Department of Epidemiology, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Generation R Study Group Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Bonnie R Joubert
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Gemma C Sharp
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Oral and Dental Sciences, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children’s Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Isabella Annesi-Maesano
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP UMRS 1136), Epidemiology of Allergic and Respiratory diseases department (EPAR), Medical School Saint-Antoine, Paris, France
| | - Hasan Arshad
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Nour Baïz
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP UMRS 1136), Epidemiology of Allergic and Respiratory diseases department (EPAR), Medical School Saint-Antoine, Paris, France
| | | | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Elisabeth B Binder
- Department Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Luigi Bouchard
- Department of Biochemistry, Université de Sherbrooke, Sherbrooke, QC, Canada
- ECOGENE-21 and Lipid Clinic, Chicoutimi Hospital, Saguenay, QC, Canada
| | - Carrie V Breton
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Universiteit Utrecht, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Kelly J Brunst
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Esteban G Burchard
- Department of Medicine, University of California, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA
| | - Mariona Bustamante
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Genomics and Disease Group, Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Monica Cheng Munthe-Kaas
- Department of Pediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
- Norwegian Institute of Public Health, Oslo, Norway
| | - Eva Corpeleijn
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Darina Czamara
- Department Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Life Course Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Patrick De Boever
- Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
- Faculty of Sciences, Hasselt University, Diepenbeek, Belgium
| | - Liesbeth Duijts
- Department of Epidemiology, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Generation R Study Group Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Terence Dwyer
- The George Institute for Global Health, Nuffield Department of Obstetrics & Gynaecology, University of Oxford, Oxford, United Kingdom
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Brenda Eskenazi
- Center for Environmental Research on Children's Health, University of California, Berkeley, CA, USA
| | - Todd M Everson
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Fahimeh Falahi
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - M Daniele Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Sara Farchi
- Department of Epidemiology, Regional Health Service, Lazio Region, Rome, Italy
| | - Mariana F Fernandez
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Instituto de Investigación Biosanitaria ibs. GRANADA, University of Granada, San Cecilio University Hospital, Granada, Spain
| | - Lu Gao
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Akram Ghantous
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Matthew W Gillman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Semira Gonseth
- University of California, Berkeley, School of Public Health, Berkeley, USA
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
- Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Nina Holland
- Center for Environmental Research on Children's Health, University of California, Berkeley, CA, USA
- Environmental Health Sciences Division, School of Public Health, University of California, Berkeley, CA, USA
| | - John W Holloway
- Human Development & Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Cathrine Hoyo
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
| | - Donglei Hu
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Perth, WA, Australia
| | - Karen Huen
- Environmental Health Sciences Division, School of Public Health, University of California, Berkeley, CA, USA
| | - Marjo-Riitta Järvelin
- Center For Lifecourse Health Research, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Dereje D Jima
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
| | - Allan C Just
- Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, USA
- Children’s Environmental Health & Disease Prevention Research Center at Dartmouth, Hanover, NH, USA
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics, and Environmental Health Sciences, School of Public Health, University of Memphis, Memphis, USA
| | - Katerina J Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
| | - Manolis Kogevinas
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Gerard H Koppelman
- University of Groningen, Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, GRIAC Research Institute Groningen, The Netherlands
| | - Leanne K Küpers
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Jari Lahti
- Department of Psychology and Logopedics, Faulty of Medicine, University of Helsinki, Helsinki, Finland
- Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland
| | - Nathalie Lambrechts
- Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Sabine AS Langie
- Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
- Faculty of Sciences, Hasselt University, Diepenbeek, Belgium
| | - Rolv T Lie
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Andrew H Liu
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Children's Hospital Colorado, Aurora, CO, USA
| | - Maria C Magnus
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Department for Non-Communicable Diseases, Domain for Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Per Magnus
- Norwegian Institute of Public Health, Oslo, Norway
| | - Rachel L Maguire
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA
| | - Carmen J Marsit
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Wendy McArdle
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Erik Melén
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Sachs Children’s Hospital, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Phillip Melton
- The Curtin UWA Centre for Genetic Origins of Health and Disease, Faculty of Health Sciences, Curtin University and Faculty of Medicine Dentistry & Health Sciences, The University of Western Australia, Perth, Australia
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
- Department of Public Health & Primary Care, Leuven University, Leuven, Belgium
| | - Lorenza Nisticò
- National Center of Epidemiology, Surveillance and Health Promotion, Istituto Superiore di Sanità, Rome, Italy
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Björn Nordlund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children’s Hospital, Karolinska University Hospital, Stockholm, Sweden
| | | | - Sam S Oh
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Patrice Perron
- Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Costanza Pizzi
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
- MRC/PHE Centre for Environment and Health School of Public Health, Imperial College London, London, UK
| | - Katri Raikkonen
- Department of Psychology and Logopedics, Faulty of Medicine, University of Helsinki, Helsinki, Finland
| | - Sarah E Reese
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, USA
| | - Eva Reischl
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum Muenchen, Munich, Germany
| | - Lorenzo Richiardi
- Department of Medical Sciences, University of Turin, Turin, Italy
- AOU Città della Salute e della Sceinza, CPO Piemonte, Turin, Italy
| | - Susan Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Ritu P Roy
- Helen Diller Family Comprehensive Cancer Center (HDFCCC), UCSF, San Francisco, CA, USA
- Computational Biology Core, UCSF, San Francisco, CA, USA
| | - Peter Rzehak
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Greet Schoeters
- Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
- Department of Biomedical Sciences, University of Antwerp, Wilrijk, Belgium
- Department of Environmental Medicine, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - David A Schwartz
- Department of Immunology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sylvain Sebert
- Center For Lifecourse Health Research, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Genomics of Complex Diseases, School of Public Health, Imperial College London, London, United Kingdom
| | - Harold Snieder
- Generation R Study Group Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Thorkild IA Sørensen
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Epidemiology (formerly Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health
- Life Course Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jordi Sunyer
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Jack A Taylor
- National Institute of Environmental Health Sciences, Epidemiology Branch, Durham, NC, USA
| | - Henning Tiemeier
- Department of Epidemiology, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Vilhelmina Ullemar
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Marinus H Van Ijzendoorn
- Centre for Child and Family Studies, Leiden University, Leiden, The Netherlands
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Judith M Vonk
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, GRIAC Research Institute Groningen, the Netherlands
| | - Annette Vriens
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Martine Vrijheid
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph L Wiemels
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, USA
- Department of Neurosurgery, UCSF, San Francisco, CA, USA
| | - Allen J Wilcox
- National Institute of Environmental Health Sciences, Epidemiology Branch, Durham, NC, USA
| | - Rosalind J Wright
- Department of Pediatrics, Kravis Children's Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health & Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Cheng-Jian Xu
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, GRIAC Research Institute Groningen, the Netherlands
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands
| | - Zongli Xu
- National Institute of Environmental Health Sciences, Epidemiology Branch, Durham, NC, USA
| | - Ivana V Yang
- Department of Epidemiology, Colorado School of Public Health
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Paul Yousefi
- Environmental Health Sciences Division, School of Public Health, University of California, Berkeley, CA, USA
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics, and Environmental Health Sciences, School of Public Health, University of Memphis, Memphis, USA
| | - Weiming Zhang
- Life Course Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Shanshan Zhao
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, USA
| | - Golareh Agha
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Vincent WV Jaddoe
- Department of Epidemiology, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Generation R Study Group Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, USA
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A decade of research on the 17q12-21 asthma locus: Piecing together the puzzle. J Allergy Clin Immunol 2018; 142:749-764.e3. [PMID: 29307657 PMCID: PMC6172038 DOI: 10.1016/j.jaci.2017.12.974] [Citation(s) in RCA: 119] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Revised: 12/13/2017] [Accepted: 12/16/2017] [Indexed: 12/20/2022]
Abstract
Chromosome 17q12–21 remains the most highly replicated and significant asthma locus. Genotypes in the core region defined by the first genome-wide association study correlate with expression of 2 genes, ORM1-like 3 (ORMDL3) and gasdermin B (GSDMB), making these prime candidate asthma genes, although recent studies have implicated gasdermin A (GSDMA) distal to and post-GPI attachment to proteins 3 (PGAP3) proximal to the core region as independent loci. We review 10 years of studies on the 17q12–21 locus and suggest that genotype-specific risks for asthma at the proximal and distal loci are not specific to early-onset asthma and mediated by PGAP3, ORMDL3, and/or GSDMA expression. We propose that the weak and inconsistent associations of 17q single nucleotide polymorphisms with asthma in African Americans is due to the high frequency of some 17q alleles, the breakdown of linkage disequilibrium on African-derived chromosomes, and possibly different early-life asthma endotypes in these children. Finally, the inconsistent association between asthma and gene expression levels in blood or lung cells from older children and adults suggests that genotype effects may mediate asthma risk or protection during critical developmental windows and/or in response to relevant exposures in early life. Thus studies of young children and ethnically diverse populations are required to fully understand the relationship between genotype and asthma phenotype and the gene regulatory architecture at this locus. (J Allergy Clin Immunol 2018;142:749–64.)
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17
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Schwantes EA, Evans MD, Cuskey A, Burford A, Smith JA, Lemanske RF, Jarjour NN, Mathur SK. Elevated fractional exhaled nitric oxide and blood eosinophil counts are associated with a 17q21 asthma risk allele in adult subjects. J Asthma Allergy 2017; 11:1-9. [PMID: 29296089 PMCID: PMC5741070 DOI: 10.2147/jaa.s149183] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Background and objectives Genome-wide association studies identified single-nucleotide polymorphisms (SNPs) at the 17q21 locus conferring increased risk for childhood-onset asthma. Little is known about how these SNPs impact adult asthma patients. We sought to examine an adult population for associations between rs7216389 (17q21-associated SNP) and features of asthma including fractional exhaled nitric oxide (FeNO), eosinophil counts, and age of asthma onset. Methods Subjects were genotyped at SNP rs7216389. The geometric mean of FeNO measurements and peripheral blood eosinophil counts from 2008 to 2015 were collected. Demographics and medical history were collected including self-reported allergy diagnoses and age of asthma onset. Eosinophils, monocytes, and peripheral blood mononuclear cells (PBMCs) were isolated for the examination of ORMDL3 expression. Results FeNO levels from 157 genotyped subjects (31CC, 72CT, and 54TT) and peripheral eosinophil counts from 252 genotyped subjects (46CC, 122CT, and 84TT) were analyzed. In a sub-group analysis of asthma subjects, the number of attributable T alleles was associated with significantly lower age of asthma onset (P=0.03) and greater FeNO levels (geometric mean 30.0 ppb TT, 20.0 ppb CT, 20.0 ppb CC, P=0.02). In the total cohort of subjects, the T allele was associated with a higher percentage of individual eosinophil counts >200/mm3 (45% TT, 26% CT, 24% CC, P=0.005). Eosinophils expressed ORMDL3 mRNA and protein. Conclusion In adult subjects, the number of T alleles at SNP rs7216389 corresponds to significantly greater FeNO levels and peripheral eosinophil counts. The expression of ORMDL3 in eosinophils suggests that they may participate in mediating the asthma risk associated with the 17q21 locus.
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Affiliation(s)
| | | | - Alex Cuskey
- Division of Allergy, Pulmonary and Critical Care, Department of Medicine
| | - Alex Burford
- Division of Allergy, Pulmonary and Critical Care, Department of Medicine
| | - Judith A Smith
- Division of Allergy, Immunology and Rheumatology, Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Robert F Lemanske
- Division of Allergy, Immunology and Rheumatology, Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Nizar N Jarjour
- Division of Allergy, Pulmonary and Critical Care, Department of Medicine
| | - Sameer K Mathur
- Division of Allergy, Pulmonary and Critical Care, Department of Medicine
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18
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Martins C, Silva D, Severo M, Rufo J, Paciência I, Madureira J, Padrão P, Moreira P, Delgado L, Oliveira Fernandes E, Barros H, Malmberg P, Moreira A. Spirometry-adjusted fraction of exhaled nitric oxide increases accuracy for assessment of asthma control in children. Pediatr Allergy Immunol 2017; 28:754-762. [PMID: 28892559 DOI: 10.1111/pai.12803] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/06/2017] [Indexed: 12/12/2022]
Abstract
Spirometry and exhaled nitric oxide are two important complimentary tools to identify and assess asthma control in children. We aimed to determine the ability of a new suggested spirometry-adjusted fraction of exhaled nitric oxide (NO) index in doing that. A random sample of 1602 schoolchildren were screened by a health questionnaire, skin prick tests, spirometry with bronchodilation and exhaled NO. A total of 662 children were included with median (IQR) exhaled NO 11(14) ppb. Receiver operating characteristic (ROC) curves using exhaled NO equations from Malmberg, Kovesi and Buchvald, and spirometry-adjusted fraction of exhaled NO values were applied to identify asthmatic children and uncontrolled asthma. Receiver operating characteristic (ROC) curves failed to identify asthmatic children (all AUC < 0.700). Spirometry-adjusted fraction of exhaled NO/FEV1 (AUC = 0.712; P = .010) and NO/FEF25%-75% (AUC = 0.735 P = .004) had a fair and increased ability to identify uncontrolled disease compared with exhaled NO (AUC = 0.707; P = .011) or the Malmberg equation (AUC = 0.701; P = .014). Sensitivity and specificity identifying non-controlled asthma were 59% and 81%, respectively, for the cut-off value of 9.7 ppb/L for exhaled NO/FEV1 , and 40% and 100% for 15.7 ppb/L/s for exhaled NO/FEF25%-75% . Exhaled NO did not allow to identify childhood asthma. Spirometry-adjusted fraction of exhaled NO performed better-assessing asthma control in children. Thus, although more validation studies are needed, we suggest its use in epidemiological studies to assess asthma control.
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Affiliation(s)
- Carla Martins
- Department of Immunoallergology, Centro Hospitalar de São João, Porto, Portugal
| | - Diana Silva
- Department of Immunoallergology, Centro Hospitalar de São João, Porto, Portugal.,Faculty of Medicine, Basic and Clinical Immunology, University of Porto, Porto, Portugal
| | - Milton Severo
- Faculty of Medicine, Basic and Clinical Immunology, University of Porto, Porto, Portugal.,Institute of Public Health, University of Porto, Porto, Portugal
| | - João Rufo
- Faculty of Medicine, Basic and Clinical Immunology, University of Porto, Porto, Portugal.,Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto, Portugal
| | - Inês Paciência
- Faculty of Medicine, Basic and Clinical Immunology, University of Porto, Porto, Portugal.,Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto, Portugal
| | - Joana Madureira
- Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto, Portugal
| | - Patrícia Padrão
- Faculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal
| | - Pedro Moreira
- Faculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal
| | - Luís Delgado
- Department of Immunoallergology, Centro Hospitalar de São João, Porto, Portugal.,Faculty of Medicine, Basic and Clinical Immunology, University of Porto, Porto, Portugal
| | | | - Henrique Barros
- Faculty of Medicine, Basic and Clinical Immunology, University of Porto, Porto, Portugal.,Institute of Public Health, University of Porto, Porto, Portugal
| | - Pekka Malmberg
- Department of Allergology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - André Moreira
- Department of Immunoallergology, Centro Hospitalar de São João, Porto, Portugal.,Faculty of Medicine, Basic and Clinical Immunology, University of Porto, Porto, Portugal.,Institute of Public Health, University of Porto, Porto, Portugal.,Faculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal
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19
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Ritz BR, Chatterjee N, Garcia-Closas M, Gauderman WJ, Pierce BL, Kraft P, Tanner CM, Mechanic LE, McAllister K. Lessons Learned From Past Gene-Environment Interaction Successes. Am J Epidemiol 2017; 186:778-786. [PMID: 28978190 PMCID: PMC5860326 DOI: 10.1093/aje/kwx230] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 04/01/2017] [Accepted: 04/04/2017] [Indexed: 12/20/2022] Open
Abstract
Genetic and environmental factors are both known to contribute to susceptibility to complex diseases. Therefore, the study of gene-environment interaction (G×E) has been a focus of research for several years. In this article, select examples of G×E from the literature are described to highlight different approaches and underlying principles related to the success of these studies. These examples can be broadly categorized as studies of single metabolism genes, genes in complex metabolism pathways, ranges of exposure levels, functional approaches and model systems, and pharmacogenomics. Some studies illustrated the success of studying exposure metabolism for which candidate genes can be identified. Moreover, some G×E successes depended on the availability of high-quality exposure assessment and longitudinal measures, study populations with a wide range of exposure levels, and the inclusion of ethnically and geographically diverse populations. In several examples, large population sizes were required to detect G×Es. Other examples illustrated the impact of accurately defining scale of the interactions (i.e., additive or multiplicative). Last, model systems and functional approaches provided insights into G×E in several examples. Future studies may benefit from these lessons learned.
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Affiliation(s)
- Beate R. Ritz
- Correspondence to Dr. Beate R. Ritz, Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, 650 Charles Young Drive South, Los Angeles, CA 90095 (e-mail: )
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20
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Zhang Y, Salam MT, Berhane K, Eckel SP, Rappaport EB, Linn WS, Habre R, Bastain TM, Gilliland FD. Genetic and epigenetic susceptibility of airway inflammation to PM 2.5 in school children: new insights from quantile regression. Environ Health 2017; 16:88. [PMID: 28821285 PMCID: PMC5563051 DOI: 10.1186/s12940-017-0285-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2017] [Accepted: 07/11/2017] [Indexed: 05/16/2023]
Abstract
BACKGROUND The fractional concentration of exhaled nitric oxide (FeNO) is a biomarker of airway inflammation that has proved to be useful in investigations of genetic and epigenetic airway susceptibility to ambient air pollutants. For example, susceptibility to airway inflammation from exposure to particulate matter with aerodynamic diameter < =2.5 μm (PM2.5) varies by haplotypes and promoter region methylation in inducible nitric oxide synthase (iNOS encoded by NOS2). We hypothesized that PM2.5 susceptibility associated with these epigenetic and genetic variants may be greater in children with high FeNO from inflamed airways. In this study, we investigated genetic and epigenetic susceptibility to airborne particulate matter by examining whether the joint effects of PM2.5, NOS2 haplotypes and iNOS promoter methylation significantly vary across the distribution of FeNO in school children. METHODS The study included 940 school children in the southern California Children's Health Study who provided concurrent buccal samples and FeNO measurements. We used quantile regression to examine susceptibility by estimating the quantile-specific joint effects of PM2.5, NOS2 haplotype and methylation on FeNO. RESULTS We discovered striking differences in susceptibility to PM2.5 in school children. The joint effects of short-term PM2.5 exposure, NOS2 haplotypes and methylation across the FeNO distribution were significantly larger in the upper tail of the FeNO distribution, with little association in its lower tail, especially among children with asthma and Hispanic white children. CONCLUSION School-aged children with higher FeNO have greater genetic and epigenetic susceptibility to PM2.5, highlighting the importance of investigating effects across the entire distribution of FeNO.
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Affiliation(s)
- Yue Zhang
- Division of Epidemiology, Department of Internal Medicine, University of Utah, 295 Chipeta Way, Salt Lake City, UT 84018 USA
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT USA
- Veteran Affairs Salt Lake City Health Care System, Salt Lake City, UT USA
| | - Muhammad T. Salam
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA USA
- Department of Psychiatry, Kern Medical, Bakersfield, CA USA
| | - Kiros Berhane
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA USA
| | - Sandrah P. Eckel
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA USA
| | - Edward B. Rappaport
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA USA
| | - William S. Linn
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA USA
| | - Rima Habre
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA USA
| | - Theresa M. Bastain
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA USA
| | - Frank D. Gilliland
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA USA
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21
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Fuchs O, Gorlanova O, Latzin P, Schmidt A, Schieck M, Toncheva AA, Michel S, Gaertner VD, Kabesch M, Frey U. 6q12 and 11p14 variants are associated with postnatal exhaled nitric oxide levels and respiratory symptoms. J Allergy Clin Immunol 2017; 140:1015-1023. [PMID: 28109725 DOI: 10.1016/j.jaci.2016.11.048] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Revised: 11/04/2016] [Accepted: 11/14/2016] [Indexed: 11/19/2022]
Abstract
BACKGROUND Exhaled nitric oxide (eNO) is a biomarker of airway inflammation and seems to precede respiratory symptoms, such as asthma, in childhood. Identifying genetic determinants of postnatal eNO levels might aid in unraveling the role of eNO in epithelial function or airway inflammation and disease. OBJECTIVE We sought to identify genetic determinants of early postnatal eNO levels and subsequent respiratory symptoms during the first year of life. METHODS Within a population-based birth cohort, eNO levels were measured in healthy term infants aged 5 weeks during quiet tidal breathing in unsedated sleep. We assessed associations of single nucleotide polymorphisms with eNO levels in a genome-wide association study and subsequent symptoms of lower respiratory tract infections during the first year of life and asked whether this was modified by prenatal and early-life environmental factors. RESULTS We identified thus far unknown determinants of infant eNO levels: rs208515 (P = 3.3 × 10-8), which is located at 6q12, probably acting in "trans" and explaining 10.3% of eNO level variance, and rs1441519 (P = 1.6 × 10-6), which is located at 11p14, potentially affecting nitric oxide synthase 3 (NOS3) expression, as shown by means of in vitro functional analyses. Moreover, the 6q12 locus was inversely associated with subsequent respiratory symptoms (P < .05) and time to recovery after first respiratory symptoms during the first year of life (P < .05). CONCLUSION The identification of novel genetic determinants of infant eNO levels might implicate that postnatal eNO metabolism in healthy infants before first viral infections and sensitization is related to mechanisms other than those associated with asthma, atopy, or increased risk thereof later in life.
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Affiliation(s)
- Oliver Fuchs
- University Children's Hospital (UKBB), University of Basel, Basel, Switzerland; Dr von Hauner Children's Hospital, Ludwig-Maximilians-Universität, Munch, and the Comprehensive Pneumology Center Munich (CPC-M; Member of the German Center for Lung Research [DZL]), Munich, Germany; Division of Respiratory Medicine, Department of Pediatrics, Inselspital, University of Bern, Bern, Switzerland
| | - Olga Gorlanova
- University Children's Hospital (UKBB), University of Basel, Basel, Switzerland
| | - Philipp Latzin
- University Children's Hospital (UKBB), University of Basel, Basel, Switzerland; Division of Respiratory Medicine, Department of Pediatrics, Inselspital, University of Bern, Bern, Switzerland
| | - Anne Schmidt
- University Children's Hospital (UKBB), University of Basel, Basel, Switzerland
| | - Maximilian Schieck
- Department of Pediatric Pneumology and Allergy, University Children's Hospital Regensburg (KUNO), Regensburg, Germany; Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Antoaneta A Toncheva
- Department of Pediatric Pneumology and Allergy, University Children's Hospital Regensburg (KUNO), Regensburg, Germany
| | - Sven Michel
- Department of Pediatric Pneumology and Allergy, University Children's Hospital Regensburg (KUNO), Regensburg, Germany
| | - Vincent D Gaertner
- Department of Pediatric Pneumology and Allergy, University Children's Hospital Regensburg (KUNO), Regensburg, Germany
| | - Michael Kabesch
- Department of Pediatric Pneumology and Allergy, University Children's Hospital Regensburg (KUNO), Regensburg, Germany; Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany, and Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Germany (member of the German Center for Lung Research [DZL]), Hannover, Germany
| | - Urs Frey
- University Children's Hospital (UKBB), University of Basel, Basel, Switzerland.
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22
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Žavbi M, Korošec P, Fležar M, Škrgat Kristan S, Marc Malovrh M, Rijavec M. Polymorphisms and haplotypes of the chromosome locus 17q12-17q21.1 contribute to adult asthma susceptibility in Slovenian patients. Hum Immunol 2016; 77:527-34. [PMID: 27163155 DOI: 10.1016/j.humimm.2016.05.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Revised: 02/18/2016] [Accepted: 05/04/2016] [Indexed: 11/24/2022]
Abstract
One of the major asthma susceptibility loci is 17q12-17q21.1, but the relationship between this locus and adult asthma is unclear. Association analysis of 13 single nucleotide polymorphisms (SNPs) and haplotypes from 17q12-17q21.1 was performed in 418 adult patients with asthma and 288 controls from Slovenia. Single SNP analysis revealed only marginal associations with adult asthma for SNPs located in GSDMA, GSDMB, ORMDL3 and ZPBP2 genes, and rs7219080 was the most highly associated. Analyses of asthma phenotypes found no association with atopy or lung function, but rs2305480 and rs8066582 were associated with childhood asthma and rs9916279 was associated with asthma in smokers. Notably, haplotypes consisting of rs9916279, rs8066582, rs1042658, and rs2302777 harbouring PSMD3, CSF3 and MED24 genes were highly associated with asthma. The four most common haplotypes, TCCG, TTTA, CCCA and TTCA, were more frequent in patients with asthma, whereas TTCG, TCCA, TCTA and TTTG were more frequent in controls. Only 3% of asthma patients belonged to haplotypes TTCG, TCCA, TCTA and TTTG compared with nearly one-third (31%) of controls. Associations confirmed that the 17q12-17q21.1 locus harbours a genetic determinant for asthma risk in adults and suggest that in addition to the previously known ORMDL3-GSDM locus, CSF3-PSMD3-MED24 also plays a role in asthma pathogenesis.
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Affiliation(s)
- Mateja Žavbi
- University Clinic of Respiratory and Allergic Diseases Golnik, Golnik 36, 4204 Golnik, Slovenia
| | - Peter Korošec
- University Clinic of Respiratory and Allergic Diseases Golnik, Golnik 36, 4204 Golnik, Slovenia
| | - Matjaž Fležar
- University Clinic of Respiratory and Allergic Diseases Golnik, Golnik 36, 4204 Golnik, Slovenia
| | - Sabina Škrgat Kristan
- University Clinic of Respiratory and Allergic Diseases Golnik, Golnik 36, 4204 Golnik, Slovenia
| | - Mateja Marc Malovrh
- University Clinic of Respiratory and Allergic Diseases Golnik, Golnik 36, 4204 Golnik, Slovenia
| | - Matija Rijavec
- University Clinic of Respiratory and Allergic Diseases Golnik, Golnik 36, 4204 Golnik, Slovenia.
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23
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Garcia-Marcos PW, Soriano-Pérez MJ, Perez-Fernández V, Valverde-Molina J. Exhaled nitric oxide in school children: Searching for the lost variability. Allergol Immunopathol (Madr) 2016; 44:206-13. [PMID: 26674385 DOI: 10.1016/j.aller.2015.06.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Accepted: 06/26/2015] [Indexed: 11/16/2022]
Abstract
OBJECTIVE The factors - including asthma and rhinoconjunctivitis - which influence FeNO values in a general population of school children have been studied in order to know to what extent the variability of those values can be explained. METHODS FeNO was measured in a population of 240 school children aged 6-12 years by means of a Niox-Mino™ device in a standardised way. Parents filled in an ISAAC-validated questionnaire of symptoms and environmental factors. Diagnoses were checked against clinical records. Height and weight were measured. A multivariate regression analysis including all variables in the questionnaire was performed, which was followed by two Xi stepwise tests in order to build a predictive model which included the main variables influencing FeNO values. RESULTS Among the 240 children, 10 suffered from asthma, 16 from rhinoconjunctivitis and 15 from both conditions. FeNO values (GM±GSD) in children with rhinoconjunctivitis (19.61±1.20ppb), with asthma (18.62±1.32ppb), and with both conditions (17.62±1.19ppb) tended to be significantly higher than control children (11.42±1.04ppb), p=0.0016, p=0.08 and p=0.01, respectively. The different predictive models were able to explain only 20-27% of FeNO variability. CONCLUSIONS The proportion of FeNO inter-individual variability which can be explained by individual (including suffering from asthma or rhinoconjunctivitis), family, and environmental factors is very low (20-27%). This could have implications on the usefulness of FeNO as a diagnostic tool in asthma.
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Affiliation(s)
- P W Garcia-Marcos
- Department of General Pediatrics, Arrixaca University Children's Hospital, University of Murcia, Murcia, Spain.
| | - M J Soriano-Pérez
- Emergency Department, Los Arcos del Mar Menor University Hospital, San Javier, Murcia, Spain
| | - V Perez-Fernández
- Department of General Pediatrics, Arrixaca University Children's Hospital, University of Murcia, Murcia, Spain
| | - J Valverde-Molina
- Department of Pediatric Respiratory Medicine, Los Arcos del Mar Menor University Hospital, San Javier, Murcia, Spain
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24
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Sarnowski C, Sugier PE, Granell R, Jarvis D, Dizier MH, Ege M, Imboden M, Laprise C, Khusnutdinova EK, Freidin MB, Cookson WOC, Moffatt M, Lathrop M, Siroux V, Ogorodova LM, Karunas AS, James A, Probst-Hensch NM, von Mutius E, Pin I, Kogevinas M, Henderson AJ, Demenais F, Bouzigon E. Identification of a new locus at 16q12 associated with time to asthma onset. J Allergy Clin Immunol 2016; 138:1071-1080. [PMID: 27130862 DOI: 10.1016/j.jaci.2016.03.018] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Revised: 02/05/2016] [Accepted: 03/16/2016] [Indexed: 01/02/2023]
Abstract
BACKGROUND Asthma is a heterogeneous disease in which age of onset plays an important role. OBJECTIVE We sought to identify the genetic variants associated with time to asthma onset (TAO). METHODS We conducted a large-scale meta-analysis of 9 genome-wide association studies of TAO (total of 5462 asthmatic patients with a broad range of age of asthma onset and 8424 control subjects of European ancestry) performed by using survival analysis techniques. RESULTS We detected 5 regions associated with TAO at the genome-wide significant level (P < 5 × 10-8). We evidenced a new locus in the 16q12 region (near cylindromatosis turban tumor syndrome gene [CYLD]) and confirmed 4 asthma risk regions: 2q12 (IL-1 receptor-like 1 [IL1RL1]), 6p21 (HLA-DQA1), 9p24 (IL33), and 17q12-q21 (zona pellucida binding protein 2 [ZPBP2]-gasdermin A [GSDMA]). Conditional analyses identified 2 distinct signals at 9p24 (both upstream of IL33) and 17q12-q21 (near ZPBP2 and within GSDMA). Together, these 7 distinct loci explained 6.0% of the variance in TAO. In addition, we showed that genetic variants at 9p24 and 17q12-q21 were strongly associated with an earlier onset of childhood asthma (P ≤ .002), whereas the 16q12 single nucleotide polymorphism was associated with later asthma onset (P = .04). A high burden of disease risk alleles at these loci was associated with earlier age of asthma onset (4 vs 9-12 years, P = 10-4). CONCLUSION The new susceptibility region for TAO at 16q12 harbors variants that correlate with the expression of CYLD and nucleotide-binding oligomerization domain 2 (NOD2), 2 strong candidates for asthma. This study demonstrates that incorporating the variability of age of asthma onset in asthma modeling is a helpful approach in the search for disease susceptibility genes.
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Affiliation(s)
- Chloé Sarnowski
- Inserm, UMR-946, Paris, France; Université Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Paris, France
| | - Pierre-Emmanuel Sugier
- Inserm, UMR-946, Paris, France; Université Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Paris, France
| | - Raquel Granell
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Debbie Jarvis
- Respiratory Epidemiology, Occupational Medicine and Public Health, National Heart and Lung Institute, Imperial College, London, United Kingdom; MRC-PHE Centre for Environment & Health, London, United Kingdom
| | - Marie-Hélène Dizier
- Inserm, UMR-946, Paris, France; Université Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Paris, France
| | - Markus Ege
- Dr von Hauner Children's Hospital, Ludwig Maximilian University, Munich, Germany; Comprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research, Munich, Germany
| | - Medea Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Catherine Laprise
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, Quebec, Canada
| | - Elza K Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Scientific Centre, Russian Academy of Sciences, Ufa, Russia; Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russia
| | | | - William O C Cookson
- National Heart Lung Institute, Imperial College London, London, United Kingdom
| | - Miriam Moffatt
- National Heart Lung Institute, Imperial College London, London, United Kingdom
| | - Mark Lathrop
- McGill University and Génome Québec Innovation Centre, Montreal, Quebec, Canada
| | - Valérie Siroux
- Université Grenoble Alpes, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France; Inserm, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France; CHU de Grenoble, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France
| | | | - Alexandra S Karunas
- Institute of Biochemistry and Genetics, Ufa Scientific Centre, Russian Academy of Sciences, Ufa, Russia; Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russia
| | - Alan James
- Busselton Population Medical Research Institute, Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, and the School of Population Health, University of Western Australia, Crawley, Australia
| | - Nicole M Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Erika von Mutius
- Dr von Hauner Children's Hospital, Ludwig Maximilian University, Munich, Germany; Comprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research, Munich, Germany
| | - Isabelle Pin
- Université Grenoble Alpes, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France; Inserm, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France; CHU de Grenoble, Pediatrics, Grenoble, France
| | - Manolis Kogevinas
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain
| | - A John Henderson
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Florence Demenais
- Inserm, UMR-946, Paris, France; Université Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Paris, France
| | - Emmanuelle Bouzigon
- Inserm, UMR-946, Paris, France; Université Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Paris, France.
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Zhang Y, Berhane K, Eckel SP, Salam MT, Linn WS, Rappaport EB, Bastain TM, Gilliland FD. Determinants of Children's Exhaled Nitric Oxide: New Insights from Quantile Regression. PLoS One 2015. [PMID: 26214692 PMCID: PMC4516246 DOI: 10.1371/journal.pone.0130505] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
While the fractional concentration of exhaled nitric oxide (FeNO) has proven useful in asthma research, its exact role in clinical care remains unclear, in part due to unexplained inter-subject heterogeneity. In this study, we assessed the hypothesis that the effects of determinants of the fractional concentration of exhaled nitric oxide (FeNO) vary with differing levels of FeNO. In a population-based cohort of 1542 school children aged 12–15 from the Southern California Children's Health Study, we used quantile regression to investigate if the relationships of asthma, socio-demographic and clinical covariates with FeNO vary across its distribution. Differences in FeNO between children with and without asthma increased steeply as FeNO increased (Estimated asthma effects (in ppb) at selected 20th, 50th and 80th percentiles of FeNO are 2.4, 6.3 and 22.2, respectively) but the difference was steeper with increasing FeNO in boys and in children with active rhinitis (p-values<0.01). Active rhinitis also showed significantly larger effects on FeNO at higher concentrations of FeNO (Estimated active rhinitis effects (in ppb) at selected 20th, 50th and 80th percentiles of FeNO are 2.1, 5.7 and 14.3, respectively). Boys and children of Asian descent had higher FeNO than girls and non-Hispanic whites; these differences were significantly larger in those with higher FeNO (p-values<0.01). In summary, application of quantile regression techniques provides new insights into the determinants of FeNO showing substantially varying effects in those with high versus low concentrations.
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Affiliation(s)
- Yue Zhang
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, United States of America
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, United States of America
- Veteran Affairs Salt Lake City Health Care System, Salt Lake City, Utah, United States of America
- * E-mail:
| | - Kiros Berhane
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Sandrah P. Eckel
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Muhammad T. Salam
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, United States of America
- Department of Psychiatry, Kern Medical Center, Bakersfield, California, United States of America
| | - William S. Linn
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Edward B. Rappaport
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Theresa M. Bastain
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Frank D. Gilliland
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, United States of America
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26
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Bouzigon E, Nadif R, Thompson EE, Concas MP, Kuldanek S, Du G, Brossard M, Lavielle N, Sarnowski C, Vaysse A, Dessen P, van der Valk RJP, Duijts L, Henderson AJ, Jaddoe VWV, de Jongste JC, Dizier MH, Pin I, Matran R, Lathrop M, Pirastu M, Demenais F, Ober C. A common variant in RAB27A gene is associated with fractional exhaled nitric oxide levels in adults. Clin Exp Allergy 2015; 45:797-806. [PMID: 25431337 PMCID: PMC4405185 DOI: 10.1111/cea.12461] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Revised: 10/06/2014] [Accepted: 11/19/2014] [Indexed: 12/28/2022]
Abstract
BACKGROUND Exhaled nitric oxide (FeNO) is a biomarker for eosinophilic inflammation in the airways and for responsiveness to corticosteroids in asthmatics. OBJECTIVE We sought to identify in adults the genetic determinants of fractional exhaled nitric oxide (FeNO) levels and to assess whether environmental and disease-related factors influence these associations. METHODS We performed a genome-wide association study of FeNO through meta-analysis of two independent discovery samples of European ancestry: the outbred EGEA study (French Epidemiological study on the Genetics and Environment of Asthma, N = 610 adults) and the Hutterites (N = 601 adults), a founder population living on communal farms. Replication of main findings was assessed in adults from an isolated village in Sardinia (Talana study, N = 450). We then investigated the influence of asthma, atopy and tobacco smoke exposure on these genetic associations, and whether they were also associated with FeNO values in children of the EAGLE (EArly Genetics & Lifecourse Epidemiology, N = 8858) consortium. RESULTS We detected a common variant in RAB27A (rs2444043) associated with FeNO that reached the genome-wide significant level (P = 1.6 × 10(-7) ) in the combined discovery and replication adult data sets. This SNP belongs to member of RAS oncogene family (RAB27A) and was associated with an expression quantitative trait locus for RAB27A in lymphoblastoid cell lines from asthmatics. A second suggestive locus (rs2194437, P = 8.9 × 10(-7) ) located nearby the sodium/calcium exchanger 1 (SLC8A1) was mainly detected in atopic subjects and influenced by inhaled corticosteroid use. These two loci were not associated with childhood FeNO values. CONCLUSIONS AND CLINICAL RELEVANCE This study identified a common variant located in RAB27A gene influencing FeNO levels specifically in adults and with a biological relevance to the regulation of FeNO levels. This study provides new insight into the biological mechanisms underlying FeNO levels in adults.
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Affiliation(s)
- Emmanuelle Bouzigon
- Inserm, UMR-946, F-75010, Paris, France
- Univ Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d’Hématologie, F-75007, Paris, France
| | - Rachel Nadif
- Inserm, U1018, Centre for research in Epidemiology and Population Health (CESP), Respiratory and Environmental Epidemiology Team, F-94807, Villejuif, France
- Univ Paris-Sud, UMRS 1018, F-94807, Villejuif, France
| | - Emma E. Thompson
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Maria Pina Concas
- Institute of Population Genetics, National Council of Research, Sassari, Italy
| | - Susan Kuldanek
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Gaixin Du
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Myriam Brossard
- Inserm, UMR-946, F-75010, Paris, France
- Univ Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d’Hématologie, F-75007, Paris, France
| | - Nolwenn Lavielle
- Inserm, UMR-946, F-75010, Paris, France
- Univ Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d’Hématologie, F-75007, Paris, France
| | - Chloé Sarnowski
- Inserm, UMR-946, F-75010, Paris, France
- Univ Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d’Hématologie, F-75007, Paris, France
| | - Amaury Vaysse
- Inserm, UMR-946, F-75010, Paris, France
- Univ Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d’Hématologie, F-75007, Paris, France
| | - Philippe Dessen
- Inserm, UMRS 985, Institut Gustave Roussy, F-94805, Villejuif, France
| | - Ralf JP van der Valk
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Liesbeth Duijts
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- School of Social and Community Medicine, University of Bristol, UK
| | - A John Henderson
- School of Social and Community Medicine, University of Bristol, UK
| | - Vincent WV Jaddoe
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Johan C de Jongste
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Marie-Hélène Dizier
- Inserm, UMR-946, F-75010, Paris, France
- Univ Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d’Hématologie, F-75007, Paris, France
| | - Isabelle Pin
- INSERM, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, F-38000 Grenoble, France
- Univ. Grenoble Alpes, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, F-38000 Grenoble, France
- Pédiatrie, CHU de Grenoble, F-38043, Grenoble, France
| | - Régis Matran
- Univ Lille Nord de France, F-59000, Lille, France
- CHU, F-59000, Lille, France
| | - Mark Lathrop
- McGill University and Génome Québec Innovation Centre, Montréal, Canada
| | - Mario Pirastu
- Institute of Population Genetics, National Council of Research, Sassari, Italy
- Ogliastra Genetic Park, Perdasdefogu, Sardinia, Italy
| | - Florence Demenais
- Inserm, UMR-946, F-75010, Paris, France
- Univ Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d’Hématologie, F-75007, Paris, France
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
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27
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[Genetic and environmental factors of asthma and allergy: Results of the EGEA study]. Rev Mal Respir 2015; 32:822-40. [PMID: 25794998 DOI: 10.1016/j.rmr.2014.12.005] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Accepted: 12/12/2014] [Indexed: 12/26/2022]
Abstract
INTRODUCTION AND METHODS The EGEA study (epidemiological study on the genetics and environment of asthma, bronchial hyperresponsiveness and atopy), which combines a case-control and a family-based study of asthma case (n=2120 subjects) with three surveys over 20 years, aims to identify environmental and genetic factors associated with asthma and asthma-related phenotypes. We summarize the results of the phenotypic characterization and the investigation of environmental and genetic factors of asthma and asthma-related phenotypes obtained since 2007 in the EGEA study (42 articles). RESULTS Both epidemiological and genetic results confirm the heterogeneity of asthma. These results strengthen the role of the age of disease onset, the allergic status and the level of disease activity in the identification of the different phenotypes of asthma. The deleterious role of active smoking, exposure to air pollution, occupational asthmogenic agents and cleaning products on the prevalence and/or activity of asthma has been confirmed. Accounting for gene-environment interactions allowed the identification of new genetic factors underlying asthma and asthma-related traits and better understanding of their mode of action. CONCLUSION The EGEA study is contributing to the advances in respiratory research at the international level. The new phenotypic, environmental and biological data available in EGEA study will help characterizing the long-term evolution of asthma and the factors associated to this evolution.
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28
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Challenges in conducting genome-wide association studies in highly admixed multi-ethnic populations: the Generation R Study. Eur J Epidemiol 2015; 30:317-30. [PMID: 25762173 PMCID: PMC4385148 DOI: 10.1007/s10654-015-9998-4] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2014] [Accepted: 02/12/2015] [Indexed: 12/16/2022]
Abstract
Genome-wide association studies (GWAS) have been successful in identifying loci associated with a wide range of complex human traits and diseases. Up to now, the majority of GWAS have focused on European populations. However, the inclusion of other ethnic groups as well as admixed populations in GWAS studies is rapidly rising following the pressing need to extrapolate findings to non-European populations and to increase statistical power. In this paper, we describe the methodological steps surrounding genetic data generation, quality control, study design and analytical procedures needed to run GWAS in the multiethnic and highly admixed Generation R Study, a large prospective birth cohort in Rotterdam, the Netherlands. Furthermore, we highlight a number of practical considerations and alternatives pertinent to the quality control and analysis of admixed GWAS data.
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29
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Angerer H. Eukaryotic LYR Proteins Interact with Mitochondrial Protein Complexes. BIOLOGY 2015; 4:133-50. [PMID: 25686363 PMCID: PMC4381221 DOI: 10.3390/biology4010133] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Accepted: 02/04/2015] [Indexed: 01/18/2023]
Abstract
In eukaryotic cells, mitochondria host ancient essential bioenergetic and biosynthetic pathways. LYR (leucine/tyrosine/arginine) motif proteins (LYRMs) of the Complex1_LYR-like superfamily interact with protein complexes of bacterial origin. Many LYR proteins function as extra subunits (LYRM3 and LYRM6) or novel assembly factors (LYRM7, LYRM8, ACN9 and FMC1) of the oxidative phosphorylation (OXPHOS) core complexes. Structural insights into complex I accessory subunits LYRM6 and LYRM3 have been provided by analyses of EM and X-ray structures of complex I from bovine and the yeast Yarrowia lipolytica, respectively. Combined structural and biochemical studies revealed that LYRM6 resides at the matrix arm close to the ubiquinone reduction site. For LYRM3, a position at the distal proton-pumping membrane arm facing the matrix space is suggested. Both LYRMs are supposed to anchor an acyl-carrier protein (ACPM) independently to complex I. The function of this duplicated protein interaction of ACPM with respiratory complex I is still unknown. Analysis of protein-protein interaction screens, genetic analyses and predicted multi-domain LYRMs offer further clues on an interaction network and adaptor-like function of LYR proteins in mitochondria.
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Affiliation(s)
- Heike Angerer
- Goethe University Frankfurt, Medical School, Institute of Biochemistry II, Structural Bioenergetics Group, Max-von-Laue Street 9, Frankfurt am Main 60438, Germany.
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30
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Szefler SJ. Advances in pediatric asthma in 2014: Moving toward a population health perspective. J Allergy Clin Immunol 2015; 135:644-52. [PMID: 25649079 DOI: 10.1016/j.jaci.2014.12.1921] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2014] [Revised: 12/29/2014] [Accepted: 12/29/2014] [Indexed: 01/30/2023]
Abstract
Last year's "Advances in pediatric asthma in 2013: Coordinating asthma care" concluded that, "Enhanced communication systems will be necessary among parents, clinicians, health care providers and the pharmaceutical industry so that we continue the pathway of understanding the disease and developing new treatments that address the unmet needs of patients who are at risk for severe consequences of unchecked disease persistence or progression." This year's summary will focus on further advances in pediatric asthma related to prenatal and postnatal factors altering the natural history of asthma, assessment of asthma control, and new insights regarding the management of asthma in children as indicated in Journal of Allergy and Clinical Immunology publications in 2014. A major theme of this review is how new research reports can be integrated into medical communication in a population health perspective to assist clinicians in asthma management. The asthma specialist is in a unique position to convey important messages to the medical community related to factors that influence the course of asthma, methods to assess and communicate levels of control, and new targets for intervention, as well as new immunomodulators. By enhancing communication among patients, parents, primary care physicians, and specialists within provider systems, the asthma specialist can provide timely information that can help to reduce asthma morbidity and mortality.
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Affiliation(s)
- Stanley J Szefler
- Pediatric Asthma Research Program, Section of Pediatric Pulmonary Medicine, Breathing Institute, Department of Pediatrics, Children's Hospital Colorado, and the Department of Pediatrics, University of Colorado Denver School of Medicine, Aurora, Colo.
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The Generation R Study: Biobank update 2015. Eur J Epidemiol 2014; 29:911-27. [PMID: 25527369 DOI: 10.1007/s10654-014-9980-6] [Citation(s) in RCA: 171] [Impact Index Per Article: 17.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2014] [Accepted: 12/06/2014] [Indexed: 12/14/2022]
Abstract
The Generation R Study is a population-based prospective cohort study from fetal life until adulthood. The study is designed to identify early environmental and genetic causes and causal pathways leading to normal and abnormal growth, development and health from fetal life, childhood and young adulthood. In total, 9,778 mothers were enrolled in the study. Data collection in children and their parents include questionnaires, interviews, detailed physical and ultrasound examinations, behavioural observations, Magnetic Resonance Imaging and biological samples. Efforts have been conducted for collecting biological samples including blood, hair, faeces, nasal swabs, saliva and urine samples and generating genomics data on DNA, RNA and microbiome. In this paper, we give an update of the collection, processing and storage of these biological samples and available measures. Together with detailed phenotype measurements, these biological samples provide a unique resource for epidemiological studies focused on environmental exposures, genetic and genomic determinants and their interactions in relation to growth, health and development from fetal life onwards.
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