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Thompson MD, Reiner-Link D, Berghella A, Rana BK, Rovati GE, Capra V, Gorvin CM, Hauser AS. G protein-coupled receptor (GPCR) pharmacogenomics. Crit Rev Clin Lab Sci 2024:1-44. [PMID: 39119983 DOI: 10.1080/10408363.2024.2358304] [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: 06/15/2023] [Revised: 09/03/2023] [Accepted: 05/18/2024] [Indexed: 08/10/2024]
Abstract
The field of pharmacogenetics, the investigation of the influence of one or more sequence variants on drug response phenotypes, is a special case of pharmacogenomics, a discipline that takes a genome-wide approach. Massively parallel, next generation sequencing (NGS), has allowed pharmacogenetics to be subsumed by pharmacogenomics with respect to the identification of variants associated with responders and non-responders, optimal drug response, and adverse drug reactions. A plethora of rare and common naturally-occurring GPCR variants must be considered in the context of signals from across the genome. Many fundamentals of pharmacogenetics were established for G protein-coupled receptor (GPCR) genes because they are primary targets for a large number of therapeutic drugs. Functional studies, demonstrating likely-pathogenic and pathogenic GPCR variants, have been integral to establishing models used for in silico analysis. Variants in GPCR genes include both coding and non-coding single nucleotide variants and insertion or deletions (indels) that affect cell surface expression (trafficking, dimerization, and desensitization/downregulation), ligand binding and G protein coupling, and variants that result in alternate splicing encoding isoforms/variable expression. As the breadth of data on the GPCR genome increases, we may expect an increase in the use of drug labels that note variants that significantly impact the clinical use of GPCR-targeting agents. We discuss the implications of GPCR pharmacogenomic data derived from the genomes available from individuals who have been well-phenotyped for receptor structure and function and receptor-ligand interactions, and the potential benefits to patients of optimized drug selection. Examples discussed include the renin-angiotensin system in SARS-CoV-2 (COVID-19) infection, the probable role of chemokine receptors in the cytokine storm, and potential protease activating receptor (PAR) interventions. Resources dedicated to GPCRs, including publicly available computational tools, are also discussed.
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Affiliation(s)
- Miles D Thompson
- Krembil Brain Institute, Toronto Western Hospital, Toronto, Ontario, Canada
| | - David Reiner-Link
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Alessandro Berghella
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Brinda K Rana
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - G Enrico Rovati
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy
| | - Valerie Capra
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy
| | - Caroline M Gorvin
- Institute of Metabolism and Systems Research (IMSR), University of Birmingham, Birmingham, United Kingdom
| | - Alexander S Hauser
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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2
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Kirenga BJ, Chakaya J, Yimer G, Nyale G, Haile T, Muttamba W, Mugenyi L, Katagira W, Worodria W, Aanyu-Tukamuhebwa H, Lugogo N, Joloba M, Mersha TB, Bekele A, Makumbi F, Mekasha A, Green CL, de Jong C, Kamya M, van der Molen T. The burden of severe asthma in sub-Saharan Africa: Findings from the African Severe Asthma Project. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. GLOBAL 2024; 3:100209. [PMID: 38328803 PMCID: PMC10847773 DOI: 10.1016/j.jacig.2024.100209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 08/29/2023] [Accepted: 09/30/2023] [Indexed: 02/09/2024]
Abstract
Background Severe asthma is associated with high morbidity, mortality, and health care utilization, but its burden in Africa is unknown. Objective We sought to determine the burden (prevalence, mortality, and activity and work impairment) of severe asthma in 3 countries in East Africa: Uganda, Kenya, and Ethiopia. Methods Using the American Thoracic Society/European Respiratory Society case definition of severe asthma, we analyzed for the prevalence of severe asthma (requiring Global Initiative for Asthma [GINA] steps 4-5 asthma medications for the previous year to achieve control) and severe refractory asthma (remains uncontrolled despite treatment with GINA steps 4-5 asthma medications) in a cohort of 1086 asthma patients who had been in care for 12 months and had received all GINA-recommended medications. Asthma control was assessed by the asthma control questionnaire (ACQ). Results Overall, the prevalence of severe asthma and severe refractory asthma was 25.6% (95% confidence interval [CI], 23.1-28.3) and 4.6% (95% CI, 3.5-6.0), respectively. Patients with severe asthma were (nonsevere vs severe vs severe refractory) older (39, 42, 45 years, P = .011), had high skin prick test reactivity (67.1%, 76.0%, 76.0%, P = .004), had lower forced expiratory volume in 1 second percentage (81%, 61%, 55.5%, P < .001), had lower quality of life score (129, 127 vs 121, P < .001), and had higher activity impairment (10%, 30%, 50%, P < .001). Factors independently associated with severe asthma were hypertension comorbidity; adjusted odds ratio 2.21 (1.10-4.47), P = .027, high bronchial hyperresponsiveness questionnaire score; adjusted odds ratio 2.16 (1.01-4.61), P = .047 and higher ACQ score at baseline 2.80 (1.55-5.08), P = .001. Conclusion The prevalence of severe asthma in Africa is high and is associated with high morbidity and poor quality of life.
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Affiliation(s)
- Bruce J. Kirenga
- Makerere University Lung Institute, Kampala, Uganda
- Department of Medicine, Makerere University, Kampala, Uganda
| | - Jeremiah Chakaya
- Kenya Association of Physicians Against TB and Lung Diseases, Nairobi, Kenya
| | - Getnet Yimer
- Addis Ababa University College of Health Sciences, Addis Ababa, Ethiopia
| | - George Nyale
- Kenya Association of Physicians Against TB and Lung Diseases, Nairobi, Kenya
- Kenyatta National Hospital, Nairobi, Kenya
| | - Tewodros Haile
- Addis Ababa University College of Health Sciences, Addis Ababa, Ethiopia
| | - Winters Muttamba
- Makerere University Lung Institute, Kampala, Uganda
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, United Kingdom
| | - Levicatus Mugenyi
- Makerere University Lung Institute, Kampala, Uganda
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Research Unit, Entebbe, Uganda
| | | | | | | | - Njira Lugogo
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Mich
| | - Moses Joloba
- Department of Medical Microbiology, Makerere University, Kampala, Uganda
| | - Tesfaye B. Mersha
- Division of Asthma Research, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Amsalu Bekele
- Addis Ababa University College of Health Sciences, Addis Ababa, Ethiopia
| | - Fred Makumbi
- School of Public Health, Makerere University, Kampala, Uganda
| | - Amha Mekasha
- Addis Ababa University College of Health Sciences, Addis Ababa, Ethiopia
| | - Cynthia L. Green
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Corina de Jong
- Department of General Practice and Elderly Care, GRIAC-Primary Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Moses Kamya
- Department of Medicine, Makerere University, Kampala, Uganda
| | - Thys van der Molen
- Department of General Practice and Elderly Care, GRIAC-Primary Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Roy AN, Gupta AM, Banerjee D, Chakrabarti J, Raghavendra PB. Unraveling DPP4 Receptor Interactions with SARS-CoV-2 Variants and MERS-CoV: Insights into Pulmonary Disorders via Immunoinformatics and Molecular Dynamics. Viruses 2023; 15:2056. [PMID: 37896834 PMCID: PMC10612102 DOI: 10.3390/v15102056] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 09/23/2023] [Accepted: 09/28/2023] [Indexed: 10/29/2023] Open
Abstract
Human coronaviruses like MERS CoV are known to utilize dipeptidyl peptidase 4 (DPP4), apart from angiotensin-converting enzyme 2(ACE2) as a potential co-receptor for viral cell entry. DPP4, the ubiquitous membrane-bound aminopeptidase, is closely associated with elevation of disease severity in comorbidities. In SARS-CoV-2, there is inadequate evidence for combination of spike protein variants with DPP4, and underlying adversity in COVID-19. To elucidate this mechanistic basis, we have investigated interaction of spike protein variants with DPP4 through molecular docking and simulation studies. The possible binding interactions between the receptor binding domain (RBD) of different spike variants of SARS-CoV-2 and DPP4 have been compared with interactions observed in the experimentally determined structure of the complex of MERS-CoV with DPP4. Comparative binding affinity confers that Delta-CoV-2: DPP4 shows close proximity with MERS-CoV:DPP4, as depicted from accessible surface area, radius of gyration and number of hydrogen bonding in the interface. Mutations in the delta variant, L452R and T478K directly participate in DPP4 interaction, enhancing DPP4 binding. E484K in alpha and gamma variants of spike protein is also found to interact with DPP4. Hence, DPP4 interaction with spike protein becomes more suitable due to mutation, especially due to L452R, T478K and E484K. Furthermore, perturbation in the nearby residues Y495, Q474 and Y489 is evident due to L452R, T478K and E484K, respectively. Virulent strains of spike protein are more susceptible to DPP4 interaction and are prone to be victimized in patients due to comorbidities. Our results will aid the rational optimization of DPP4 as a potential therapeutic target to manage COVID-19 disease severity.
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Affiliation(s)
- Arpan Narayan Roy
- National Institute of Biomedical Genomics, Kalyani 741251, West Bengal, India; (A.N.R.); (D.B.)
| | - Aayatti Mallick Gupta
- Department of Physics of Complex Systems, S. N. Bose National Centre for Basic Sciences, Block-JD, Sector-III, Salt Lake, Kolkata 700106, West Bengal, India; (A.M.G.); (J.C.)
| | - Deboshmita Banerjee
- National Institute of Biomedical Genomics, Kalyani 741251, West Bengal, India; (A.N.R.); (D.B.)
| | - Jaydeb Chakrabarti
- Department of Physics of Complex Systems, S. N. Bose National Centre for Basic Sciences, Block-JD, Sector-III, Salt Lake, Kolkata 700106, West Bengal, India; (A.M.G.); (J.C.)
- Technical Research Centre, S. N. Bose National Centre for Basic Sciences, Block-JD, Sector-III, Salt Lake, Kolkata 700106, West Bengal, India
| | - Pongali B. Raghavendra
- National Institute of Biomedical Genomics, Kalyani 741251, West Bengal, India; (A.N.R.); (D.B.)
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Lee-Sarwar KA, Fischer-Rasmussen K, Bønnelykke K, Bisgaard H, Chawes B, Kelly RS, Lasky-Su J, Zeiger RS, O’Connor GT, Bacharier LB, Carey VJ, Laranjo N, Litonjua AA, Weiss ST. Omega-3 Fatty Acids Interact with DPP10 Region Genotype in Association with Childhood Atopy. Nutrients 2023; 15:2416. [PMID: 37242299 PMCID: PMC10223962 DOI: 10.3390/nu15102416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/27/2023] [Accepted: 05/02/2023] [Indexed: 05/28/2023] Open
Abstract
Associations of omega-3 fatty acids (n-3) with allergic diseases are inconsistent, perhaps in part due to genetic variation. We sought to identify and validate genetic variants that modify associations of n-3 with childhood asthma or atopy in participants in the Vitamin D Antenatal Asthma Reduction Trial (VDAART) and the Copenhagen Prospective Studies on Asthma in Childhood 2010 (COPSAC). Dietary n-3 was derived from food frequency questionnaires and plasma n-3 was measured via untargeted mass spectrometry in early childhood and children aged 6 years old. Interactions of genotype with n-3 in association with asthma or atopy at age 6 years were sought for six candidate genes/gene regions and genome-wide. Two SNPs in the region of DPP10 (rs958457 and rs1516311) interacted with plasma n-3 at age 3 years in VDAART (p = 0.007 and 0.003, respectively) and with plasma n-3 at age 18 months in COPSAC (p = 0.01 and 0.02, respectively) in associationwith atopy. Another DPP10 region SNP, rs1367180, interacted with dietary n-3 at age 6 years in VDAART (p = 0.009) and with plasma n-3 at age 6 years in COPSAC (p = 0.004) in association with atopy. No replicated interactions were identified for asthma. The effect of n-3 on reducing childhood allergic disease may differ by individual factors, including genetic variation in the DPP10 region.
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Affiliation(s)
- Kathleen A. Lee-Sarwar
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Allergy and Clinical Immunology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Kasper Fischer-Rasmussen
- Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, 2820 Gentofte, Denmark
| | - Klaus Bønnelykke
- Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, 2820 Gentofte, Denmark
| | - Hans Bisgaard
- Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, 2820 Gentofte, Denmark
| | - Bo Chawes
- Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, 2820 Gentofte, Denmark
| | - Rachel S. Kelly
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Robert S. Zeiger
- Department of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA 91101, USA
| | - George T. O’Connor
- Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Leonard B. Bacharier
- Division of Pediatric Allergy, Immunology and Pulmonary Medicine, Department of Pediatrics, Monroe Carell Jr. Children’s Hospital at Vanderbilt, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Vincent J. Carey
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Nancy Laranjo
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, Golisano Children’s Hospital at Strong, University of Rochester Medical Center, Rochester, NY 14612, USA
| | - Scott T. Weiss
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
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Nkeck JP, Nkeck JR, Chedjou JP, Ndoadoumgue AL, Essama DB, Afane Ze E, Mbacham WF. MCP-1-2518 (A>G) polymorphism and asthma risk: a pilot case-control study in Cameroon. Pan Afr Med J 2023; 44:166. [PMID: 37455894 PMCID: PMC10349619 DOI: 10.11604/pamj.2023.44.166.38544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 04/01/2023] [Indexed: 07/18/2023] Open
Abstract
Introduction there is little data on the genetic determinants of asthma in Cameroon and sub-Saharan Africa, yet the involvement of genetics in the pathogenesis of this disease has been reported in the literature for several years. This study aims to investigate the possible role of MCP-1 2518 for the risk of asthma in Cameroonians. Methods we performed a case-control study on 30 volunteers suffering from asthma, matched by aged and sex to 30 healthy subjects. We determine the polymorphism of MCP-1 2518 using restriction fragment length polymorphism following Polymerase Chain Reaction (RFLP-PCR). Fisher exact test was used to compare proportions, with a threshold of significance set at 0.05. Results the average age of cases was 21±10 years with 17 (56.7%) females. The distribution of the MCP-1-2518 (A>G) gene polymorphism in people with asthma was as follows: 3 for AA, 5 for GG, and 22 for AG. The minor G allele was predominant (90%) in people with asthma. It was significantly associated with asthma whether the genotype was heterozygous AG or homozygous GG (p<0.01). Conclusion MCP-1-2518 (A>G) shows an association with asthma in our sample. Future larger studies evaluating several polymorphisms are needed to describe the genetic determinants of asthma in Cameroon and sub-Saharan Africa.
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Affiliation(s)
- Jériel Pascal Nkeck
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
| | - Jan René Nkeck
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
| | - Jean-Paul Chedjou
- Laboratory of Public Health Biotechnology, Biotechnology Centre of the University of Yaoundé I, Yaoundé, Cameroon
| | - Aude Laetitia Ndoadoumgue
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
- School of Health and Related Research, The University of Sheffield, United Kingdom
| | - Doris Bibi Essama
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
| | - Emmanuel Afane Ze
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
- Pneumology Unit, Jamot Hospital of Yaoundé, Yaoundé, Cameroon
| | - Wilfred Fon Mbacham
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
- Laboratory of Public Health Biotechnology, Biotechnology Centre of the University of Yaoundé I, Yaoundé, Cameroon
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Haas-Neil S, Dvorkin-Gheva A, Forsythe P. Severe, but not moderate asthmatics share blood transcriptomic changes with post-traumatic stress disorder and depression. PLoS One 2022; 17:e0275864. [PMID: 36206293 PMCID: PMC9543640 DOI: 10.1371/journal.pone.0275864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 09/23/2022] [Indexed: 11/24/2022] Open
Abstract
Asthma, an inflammatory disorder of the airways, is one of the most common chronic illnesses worldwide and is associated with significant morbidity. There is growing recognition of an association between asthma and mood disorders including post-traumatic stress disorder (PTSD) and major depressive disorder (MDD). Although there are several hypotheses regarding the relationship between asthma and mental health, there is little understanding of underlying mechanisms and causality. In the current study we utilized publicly available datasets of human blood mRNA collected from patients with severe and moderate asthma, MDD, and PTSD. We performed differential expression (DE) analysis and Gene Set Enrichment Analysis (GSEA) on diseased subjects against the healthy subjects from their respective datasets, compared the results between diseases, and validated DE genes and gene sets with 4 more independent datasets. Our analysis revealed that commonalities in blood transcriptomic changes were only found between the severe form of asthma and mood disorders. Gene expression commonly regulated in PTSD and severe asthma, included ORMDL3 a gene known to be associated with asthma risk and STX8, which is involved in TrkA signaling. We also identified several pathways commonly regulated to both MDD and severe asthma. This study reveals gene and pathway regulation that potentially drives the comorbidity between severe asthma, PTSD, and MDD and may serve as foci for future research aimed at gaining a better understanding of both the relationship between asthma and PTSD, and the pathophysiology of the individual disorders.
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Affiliation(s)
- Sandor Haas-Neil
- The Brain Body Institute, St. Joseph’s Hospital, McMaster University, Hamilton, Ontario, Canada
| | - Anna Dvorkin-Gheva
- McMaster Immunology Research Centre, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Paul Forsythe
- Alberta Respiratory Centre, Division of Pulmonary Medicine, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
- * E-mail:
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Influence of Receptor Polymorphisms on the Response to α-Adrenergic Receptor Blockers in Pheochromocytoma Patients. Biomedicines 2022; 10:biomedicines10040896. [PMID: 35453646 PMCID: PMC9028965 DOI: 10.3390/biomedicines10040896] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/06/2022] [Accepted: 04/08/2022] [Indexed: 02/05/2023] Open
Abstract
Background: Presurgical treatment with an α-adrenergic receptor blocker is recommended to antagonize the catecholamine-induced α-adrenergic receptor mediated vasoconstriction in patients with pheochromocytoma or sympathetic paraganglioma (PPGL). There is, however, a considerable interindividual variation in the dose-response relationship regarding the magnitude of blood pressure reduction or the occurrence of side effects. We hypothesized that genetically determined differences in α-adrenergic receptor activity contribute to this variability in dose-response relationship. Methods: Thirty-one single-nucleotide polymorphisms (SNPs) of the α1A, α1B, α1D adrenoreceptor (ADRA1A, ADRA1B, ADRA1D) and α2A, α2B adrenoreceptor (ADRA2A, ADRA2B) genes were genotyped in a group of 116 participants of the PRESCRIPT study. Haplotypes were constructed after determining linkage disequilibrium blocks. Results: The ADRA1B SNP rs10515807 and the ADRA2A SNPs rs553668/rs521674 were associated with higher dosages of α-adrenergic receptor blocker (p < 0.05) and with a higher occurrence of side effects (rs10515807) (p = 0.005). Similar associations were found for haplotype block 6, which is predominantly defined by rs10515807. Conclusions: This study suggests that genetic variability of α-adrenergic receptor genes might be associated with the clinically observed variation in beneficial and adverse therapeutic drug responses to α-adrenergic receptor blockers. Further studies in larger cohorts are needed to confirm our observations.
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Gandhi VD, Cephus JY, Norlander AE, Chowdhury NU, Zhang J, Ceneviva ZJ, Tannous E, Polosukhin VV, Putz ND, Wickersham N, Singh A, Ware LB, Bastarache JA, Shaver CM, Chu HW, Peebles RS, Newcomb DC. Androgen receptor signaling promotes Treg suppressive function during allergic airway inflammation. J Clin Invest 2022; 132:e153397. [PMID: 35025767 PMCID: PMC8843736 DOI: 10.1172/jci153397] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 01/04/2022] [Indexed: 11/23/2022] Open
Abstract
Women have higher prevalence of asthma compared with men. In asthma, allergic airway inflammation is initiated by IL-33 signaling through ST2, leading to increased IL-4, IL-5, and IL-13 production and eosinophil infiltration. Foxp3+ Tregs suppress and ST2+ Tregs promote allergic airway inflammation. Clinical studies showed that the androgen dehydroepiandrosterone (DHEA) reduced asthma symptoms in patients, and mouse studies showed that androgen receptor (AR) signaling decreased allergic airway inflammation. Yet the impact of AR signaling on lung Tregs remains unclear. Using AR-deficient and Foxp3 fate-mapping mice, we determined that AR signaling increased Treg suppression during Alternaria extract (Alt Ext; allergen) challenge by stabilizing Foxp3+ Tregs and limiting the number of ST2+ ex-Tregs and IL-13+ Th2 cells and ex-Tregs. AR signaling also decreased Alt Ext-induced ST2+ Tregs in mice by limiting expression of Gata2, a transcription factor for ST2, and by decreasing Alt Ext-induced IL-33 production from murine airway epithelial cells. We confirmed our findings in human cells where 5α-dihydrotestosterone (DHT), an androgen, decreased IL-33-induced ST2 expression in lung Tregs and decreased Alt Ext-induced IL-33 secretion in human bronchial epithelial cells. Our findings showed that AR signaling stabilized Treg suppressive function, providing a mechanism for the sex difference in asthma.
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Affiliation(s)
| | | | | | - Nowrin U. Chowdhury
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | | | | | | | | | - Amrit Singh
- Prevention of Organ Failure (PROOF) Centre of Excellence, University of British Columbia, Vancouver, British Columbia, Canada
| | | | | | | | - Hong Wei Chu
- National Jewish Medical Center, Denver, Colorado, USA
| | - R. Stokes Peebles
- Department of Medicine and
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Dawn C. Newcomb
- Department of Medicine and
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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9
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Suarez-Pajes E, Díaz-García C, Rodríguez-Pérez H, Lorenzo-Salazar JM, Marcelino-Rodríguez I, Corrales A, Zheng X, Callero A, Perez-Rodriguez E, Garcia-Robaina JC, González-Montelongo R, Flores C, Guillen-Guio B. Targeted analysis of genomic regions enriched in African ancestry reveals novel classical HLA alleles associated with asthma in Southwestern Europeans. Sci Rep 2021; 11:23686. [PMID: 34880287 PMCID: PMC8654850 DOI: 10.1038/s41598-021-02893-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 11/24/2021] [Indexed: 12/30/2022] Open
Abstract
Despite asthma has a considerable genetic component, an important proportion of genetic risks remain unknown, especially for non-European populations. Canary Islanders have the largest African genetic ancestry observed among Southwestern Europeans and the highest asthma prevalence in Spain. Here we examined broad chromosomal regions previously associated with an excess of African genetic ancestry in Canary Islanders, with the aim of identifying novel risk variants associated with asthma susceptibility. In a two-stage cases-control study, we revealed a variant within HLA-DQB1 significantly associated with asthma risk (rs1049213, meta-analysis p = 1.30 × 10–7, OR [95% CI] = 1.74 [1.41–2.13]) previously associated with asthma and broad allergic phenotype. Subsequent fine-mapping analyses of classical HLA alleles revealed a novel allele significantly associated with asthma protection (HLA-DQA1*01:02, meta-analysis p = 3.98 × 10–4, OR [95% CI] = 0.64 [0.50–0.82]) that had been linked to infectious and autoimmune diseases, and peanut allergy. HLA haplotype analyses revealed a novel haplotype DQA1*01:02-DQB1*06:04 conferring asthma protection (meta-analysis p = 4.71 × 10–4, OR [95% CI] = 0.47 [0.29– 0.73]).
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Affiliation(s)
- Eva Suarez-Pajes
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Claudio Díaz-García
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Héctor Rodríguez-Pérez
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Jose M Lorenzo-Salazar
- Genomics Division, Instituto Tecnológico Y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - Itahisa Marcelino-Rodríguez
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Almudena Corrales
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain.,CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Xiuwen Zheng
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Ariel Callero
- Allergy Unit, Hospital Universitario N.S. de Candelaria, Santa Cruz de Tenerife, Spain
| | - Eva Perez-Rodriguez
- Allergy Unit, Hospital Universitario N.S. de Candelaria, Santa Cruz de Tenerife, Spain
| | - Jose C Garcia-Robaina
- Allergy Unit, Hospital Universitario N.S. de Candelaria, Santa Cruz de Tenerife, Spain
| | | | - Carlos Flores
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain. .,Genomics Division, Instituto Tecnológico Y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain. .,CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.
| | - Beatriz Guillen-Guio
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain. .,Department of Health Sciences, University of Leicester, Leicester, UK.
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10
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Mikhaylova AV, McHugh CP, Polfus LM, Raffield LM, Boorgula MP, Blackwell TW, Brody JA, Broome J, Chami N, Chen MH, Conomos MP, Cox C, Curran JE, Daya M, Ekunwe L, Glahn DC, Heard-Costa N, Highland HM, Hobbs BD, Ilboudo Y, Jain D, Lange LA, Miller-Fleming TW, Min N, Moon JY, Preuss MH, Rosen J, Ryan K, Smith AV, Sun Q, Surendran P, de Vries PS, Walter K, Wang Z, Wheeler M, Yanek LR, Zhong X, Abecasis GR, Almasy L, Barnes KC, Beaty TH, Becker LC, Blangero J, Boerwinkle E, Butterworth AS, Chavan S, Cho MH, Choquet H, Correa A, Cox N, DeMeo DL, Faraday N, Fornage M, Gerszten RE, Hou L, Johnson AD, Jorgenson E, Kaplan R, Kooperberg C, Kundu K, Laurie CA, Lettre G, Lewis JP, Li B, Li Y, Lloyd-Jones DM, Loos RJF, Manichaikul A, Meyers DA, Mitchell BD, Morrison AC, Ngo D, Nickerson DA, Nongmaithem S, North KE, O'Connell JR, Ortega VE, Pankratz N, Perry JA, Psaty BM, Rich SS, Soranzo N, Rotter JI, Silverman EK, Smith NL, Tang H, Tracy RP, Thornton TA, Vasan RS, Zein J, Mathias RA, Reiner AP, Auer PL. Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program. Am J Hum Genet 2021; 108:1836-1851. [PMID: 34582791 PMCID: PMC8546043 DOI: 10.1016/j.ajhg.2021.08.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 08/11/2021] [Indexed: 12/15/2022] Open
Abstract
Many common and rare variants associated with hematologic traits have been discovered through imputation on large-scale reference panels. However, the majority of genome-wide association studies (GWASs) have been conducted in Europeans, and determining causal variants has proved challenging. We performed a GWAS of total leukocyte, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts generated from 109,563,748 variants in the autosomes and the X chromosome in the Trans-Omics for Precision Medicine (TOPMed) program, which included data from 61,802 individuals of diverse ancestry. We discovered and replicated 7 leukocyte trait associations, including (1) the association between a chromosome X, pseudo-autosomal region (PAR), noncoding variant located between cytokine receptor genes (CSF2RA and CLRF2) and lower eosinophil count; and (2) associations between single variants found predominantly among African Americans at the S1PR3 (9q22.1) and HBB (11p15.4) loci and monocyte and lymphocyte counts, respectively. We further provide evidence indicating that the newly discovered eosinophil-lowering chromosome X PAR variant might be associated with reduced susceptibility to common allergic diseases such as atopic dermatitis and asthma. Additionally, we found a burden of very rare FLT3 (13q12.2) variants associated with monocyte counts. Together, these results emphasize the utility of whole-genome sequencing in diverse samples in identifying associations missed by European-ancestry-driven GWASs.
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MESH Headings
- Asthma/epidemiology
- Asthma/genetics
- Asthma/metabolism
- Asthma/pathology
- Biomarkers/metabolism
- Dermatitis, Atopic/epidemiology
- Dermatitis, Atopic/genetics
- Dermatitis, Atopic/metabolism
- Dermatitis, Atopic/pathology
- Genetic Predisposition to Disease
- Genome, Human
- Genome-Wide Association Study
- Humans
- Leukocytes/pathology
- National Heart, Lung, and Blood Institute (U.S.)
- Phenotype
- Polymorphism, Single Nucleotide
- Prognosis
- Proteome/analysis
- Proteome/metabolism
- Pulmonary Disease, Chronic Obstructive/epidemiology
- Pulmonary Disease, Chronic Obstructive/genetics
- Pulmonary Disease, Chronic Obstructive/metabolism
- Pulmonary Disease, Chronic Obstructive/pathology
- Quantitative Trait Loci
- United Kingdom/epidemiology
- United States/epidemiology
- Whole Genome Sequencing
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Affiliation(s)
- Anna V Mikhaylova
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Caitlin P McHugh
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Linda M Polfus
- Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Meher Preethi Boorgula
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Thomas W Blackwell
- TOPMed Informatics Research Center, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98105, USA
| | - Jai Broome
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Nathalie Chami
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Ming-Huei Chen
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA; National Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA
| | - Matthew P Conomos
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Corey Cox
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78539, USA
| | - Michelle Daya
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Lynette Ekunwe
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02155, USA
| | - Nancy Heard-Costa
- National Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA; Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Heather M Highland
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Yann Ilboudo
- Montréal Heart Institute, Montréal, Québec H1T 1C8, Canada; Faculté de Médecine, Université de Montréal, Montréal, Québec H1T 1C8, Canada
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Tyne W Miller-Fleming
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, USA
| | - Nancy Min
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Michael H Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Jonathon Rosen
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Kathleen Ryan
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Albert V Smith
- TOPMed Informatics Research Center, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Praveen Surendran
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB1 8RN, UK; Rutherford Fund Fellow, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Paul S de Vries
- 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
| | - Klaudia Walter
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Zhe Wang
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Marsha Wheeler
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Lisa R Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Xue Zhong
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, USA
| | - Goncalo R Abecasis
- TOPMed Informatics Research Center, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Laura Almasy
- Department of Biomedical and Health Informatics, the Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Terri H Beaty
- School of Public Health, John Hopkins University, Baltimore, MD 21205, USA
| | - Lewis C Becker
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78539, 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
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB1 8RN, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge CB1 8RN, UK
| | - Sameer Chavan
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94601, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Nancy Cox
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, USA
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Nauder Faraday
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Myriam Fornage
- University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Lifang Hou
- Institute for Public Health and Medicine, Northwestern University, Chicago, IL 60661, USA
| | - Andrew D Johnson
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA; National Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA
| | | | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Kousik Kundu
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; Department of Haematology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Guillaume Lettre
- Montréal Heart Institute, Montréal, Québec H1T 1C8, Canada; Faculté de Médecine, Université de Montréal, Montréal, Québec H1T 1C8, Canada
| | - Joshua P Lewis
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Bingshan Li
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA
| | - Yun Li
- Departments of Biostatistics, Genetics, and Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Donald M Lloyd-Jones
- Division of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60661, USA; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60661, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Deborah A Meyers
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ 85724, USA
| | - Braxton D Mitchell
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA; Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD 21201, USA
| | - Alanna C Morrison
- 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
| | - Debby Ngo
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Suraj Nongmaithem
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jeffrey R O'Connell
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Victor E Ortega
- Department of Internal Medicine, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - James A Perry
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Bruce M Psaty
- Department of Epidemiology, University of Washington, Seattle, WA 98105, USA; Department of Health Service, University of Washington, Seattle, WA 98105, USA; Department of Medicine, University of Washington, Seattle, WA 98105, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Nicole Soranzo
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK; Department of Haematology, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge CB1 8RN, UK
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA 98105, USA; Department of Health Service, University of Washington, Seattle, WA 98105, USA; Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA 98105, USA
| | - Hua Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine and Department of Biochemistry, University of Vermont Larner College of Medicine, Colchester, VT 05446, USA
| | - Timothy A Thornton
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA; Regeneron Genetics Center, Tarrytown, NY 10591, USA
| | - Ramachandran S Vasan
- National Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA; Departments of Cardiology and Preventive Medicine, 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
| | - Joe Zein
- Respiratory Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Rasika A Mathias
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Alexander P Reiner
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
| | - Paul L Auer
- Zilber School of Public Health, University of Wisconsin, Milwaukee, Milwaukee, WI 53205, USA.
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11
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Sim S, Choi Y, Lee DH, Lee HR, Seob Shin Y, Park HS. Contribution of dipeptidyl peptidase 10 to airway dysfunction in patients with NSAID-exacerbated respiratory disease. Clin Exp Allergy 2021; 52:115-126. [PMID: 34431147 DOI: 10.1111/cea.14003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 08/22/2021] [Indexed: 01/08/2023]
Abstract
BACKGROUND Genetic variants of dipeptidyl peptidase 10 (DPP10) have been suggested to contribute to the development of NSAID-exacerbated respiratory disease (NERD). However, the mechanisms of how DPP10 contributes to NERD phenotypes remain unclear. OBJECTIVE To demonstrate the exact role of DPP10 in the pathogenesis of NERD. METHODS Patients with NERD (n = 110), those with aspirin-tolerant asthma (ATA, n = 130) and healthy control subjects (HCs, n = 80) were enrolled. Clinical characteristics were analysed according to the serum DPP10 levels in both NERD and ATA groups. The function of DPP10 in airway inflammation and remodelling was investigated with in vitro, ex vivo and in vivo experiments. RESULTS NERD patients had higher levels of serum DPP10 and TGF-β1 with lower FEV1 than ATA patients or HCs (p < .05 for each). NERD patients with higher DPP10 levels had higher TGF-β1, but lower FEV1 (p < .05 for all), whilst no differences were noted in ATA patients. Moreover, the seum DPP10 levels had a positive correlation with TGF-β1 (r = 0.384, p < .001), but a negative correlation with FEV1 (r = -0.230, p = .016) in NERD patients. In in vitro studies, expression of DPP10 in airway epithelial cells was enhanced by TGF-β1 treatments. Furthermore, DPP10 was found to be produced from immune cells and this molecule induced the ERK phosphorylation in airway epithelial cells, which was suppressed by anti-DPP10 treatment. In asthmatic mouse models, increased levels of DPP10 in the serum and TGF-β1 in the bronchoalveolar lavage fluid were noted, which were suppressed by anti-DPP10 treatment. Moreover, anti-DPP10 treatment inhibited the ERK phosphorylation and extracellular matrix deposition in the lungs. CONCLUSIONS AND CLINICAL RELEVANCE These findings suggest that increased production of DPP10 may contribute to TGF-β1-mediated airway dysfunction in NERD patients, where blockade of DPP10 may have potential benefits.
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Affiliation(s)
- Soyoon Sim
- Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Korea.,Department of Biomedical Sciences, Graduate School of Ajou University, Suwon, Korea
| | - Youngwoo Choi
- Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Korea
| | - Dong-Hyun Lee
- Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Korea
| | | | - Yoo Seob Shin
- Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Korea
| | - Hae-Sim Park
- Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Korea
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12
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Sim S, Choi Y, Park HS. Potential Metabolic Biomarkers in Adult Asthmatics. Metabolites 2021; 11:metabo11070430. [PMID: 34209139 PMCID: PMC8306564 DOI: 10.3390/metabo11070430] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 06/25/2021] [Accepted: 06/25/2021] [Indexed: 12/05/2022] Open
Abstract
Asthma is the most common chronic airway inflammation, with multiple phenotypes caused by complicated interactions of genetic, epigenetic, and environmental factors. To date, various determinants have been suggested for asthma pathogenesis by a new technology termed omics, including genomics, transcriptomics, proteomics, and metabolomics. In particular, the systematic analysis of all metabolites in a biological system, such as carbohydrates, amino acids, and lipids, has helped identify a novel pathway related to complex diseases. These metabolites are involved in the regulation of hypermethylation, response to hypoxia, and immune reactions in the pathogenesis of asthma. Among them, lipid metabolism has been suggested to be related to lung dysfunction in mild-to-moderate asthma. Sphingolipid metabolites are an important mediator contributing to airway inflammation in obese asthma and aspirin-exacerbated respiratory disease. Although how these molecular variants impact the disease has not been completely determined, identification of new causative factors may possibly lead to more-personalized and precise pathway-specific approaches for better diagnosis and treatment of asthma. In this review, perspectives of metabolites related to asthma and clinical implications have been highlighted according to various phenotypes.
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Affiliation(s)
| | | | - Hae-Sim Park
- Correspondence: ; Tel.: +82-31-219-5196; Fax: +82-31-219-5154
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13
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Ntontsi P, Photiades A, Zervas E, Xanthou G, Samitas K. Genetics and Epigenetics in Asthma. Int J Mol Sci 2021; 22:ijms22052412. [PMID: 33673725 PMCID: PMC7957649 DOI: 10.3390/ijms22052412] [Citation(s) in RCA: 68] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Revised: 02/04/2021] [Accepted: 02/22/2021] [Indexed: 12/11/2022] Open
Abstract
Asthma is one of the most common respiratory disease that affects both children and adults worldwide, with diverse phenotypes and underlying pathogenetic mechanisms poorly understood. As technology in genome sequencing progressed, scientific efforts were made to explain and predict asthma’s complexity and heterogeneity, and genome-wide association studies (GWAS) quickly became the preferred study method. Several gene markers and loci associated with asthma susceptibility, atopic and childhood-onset asthma were identified during the last few decades. Markers near the ORMDL3/GSDMB genes were associated with childhood-onset asthma, interleukin (IL)33 and IL1RL1 SNPs were associated with atopic asthma, and the Thymic Stromal Lymphopoietin (TSLP) gene was identified as protective against the risk to TH2-asthma. The latest efforts and advances in identifying and decoding asthma susceptibility are focused on epigenetics, heritable characteristics that affect gene expression without altering DNA sequence, with DNA methylation being the most described mechanism. Other less studied epigenetic mechanisms include histone modifications and alterations of miR expression. Recent findings suggest that the DNA methylation pattern is tissue and cell-specific. Several studies attempt to describe DNA methylation of different types of cells and tissues of asthmatic patients that regulate airway remodeling, phagocytosis, and other lung functions in asthma. In this review, we attempt to briefly present the latest advancements in the field of genetics and mainly epigenetics concerning asthma susceptibility.
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Affiliation(s)
- Polyxeni Ntontsi
- 7th Respiratory Medicine Department and Asthma Center, Athens Chest Hospital “Sotiria”, 11527 Athens, Greece; (P.N.); (A.P.); (E.Z.)
| | - Andreas Photiades
- 7th Respiratory Medicine Department and Asthma Center, Athens Chest Hospital “Sotiria”, 11527 Athens, Greece; (P.N.); (A.P.); (E.Z.)
| | - Eleftherios Zervas
- 7th Respiratory Medicine Department and Asthma Center, Athens Chest Hospital “Sotiria”, 11527 Athens, Greece; (P.N.); (A.P.); (E.Z.)
| | - Georgina Xanthou
- Cellular Immunology Laboratory, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece;
| | - Konstantinos Samitas
- 7th Respiratory Medicine Department and Asthma Center, Athens Chest Hospital “Sotiria”, 11527 Athens, Greece; (P.N.); (A.P.); (E.Z.)
- Cellular Immunology Laboratory, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece;
- Correspondence: ; Tel.: +30-210-778-1720
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14
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Cephus J, Gandhi VD, Shah R, Brooke Davis J, Fuseini H, Yung JA, Zhang J, Kita H, Polosukhin VV, Zhou W, Newcomb DC. Estrogen receptor-α signaling increases allergen-induced IL-33 release and airway inflammation. Allergy 2021; 76:255-268. [PMID: 32648964 DOI: 10.1111/all.14491] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 06/04/2020] [Accepted: 06/20/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Group 2 innate lymphoid cells (ILC2) are stimulated by IL-33 to increase IL-5 and IL-13 production and airway inflammation. While sex hormones regulate airway inflammation, it remained unclear whether estrogen signaling through estrogen receptor-α (ER-α, Esr1) or ER-β (Esr2) increased ILC2-mediated airway inflammation. We hypothesize that estrogen signaling increases allergen-induced IL-33 release, ILC2 cytokine production, and airway inflammation. METHODS Female Esr1-/- , Esr2-/- , wild-type (WT), and IL33fl/fl eGFP mice were challenged with Alternaria extract (Alt Ext) or vehicle for 4 days. In select experiments, mice were administered tamoxifen or vehicle pellets for 21 days prior to challenge. Lung ILC2, IL-5 and IL-13 production, and BAL inflammatory cells were measured on day 5 of Alt Ext challenge model. Bone marrow from WT and Esr1-/- female mice was transferred (1:1 ratio) into WT female recipients for 6 weeks followed by Alt Ext challenge. hBE33 cells and normal human bronchial epithelial cells (NHBE) were pretreated with 17β-estradiol (E2), propyl-pyrazole-triol (PPT, ER-α agonist), or diarylpropionitrile (DPN, ER-β agonist) before allergen challenge to determine IL-33 gene expression and release, extracellular ATP release, DUOX-1 production, and necrosis. RESULTS Alt Ext challenged Esr1-/- , but not Esr2-/- , mice had decreased IL-5 and IL-13 production, BAL eosinophils, and IL-33 release compared to WT mice. Tamoxifen decreased IL-5 and IL-13 production and BAL eosinophils. IL-33eGFP + epithelial cells were decreased in Alt Ext challenged Esr1-/- mice compared to WT mice. 17β-E2 or PPT, but not DPN, increased IL-33 gene expression, release, and DUOX-1 production in hBE33 or NHBE cells. CONCLUSION Estrogen receptor -α signaling increased IL-33 release and ILC2-mediated airway inflammation.
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Affiliation(s)
- Jacqueline‐Yvonne Cephus
- Department of Medicine Division of Allergy, Pulmonary, and Critical Care Medicine Vanderbilt University Medical Center Nashville Tennessee USA
| | - Vivek D. Gandhi
- Department of Medicine Division of Allergy, Pulmonary, and Critical Care Medicine Vanderbilt University Medical Center Nashville Tennessee USA
| | - Ruchi Shah
- Department of Medicine Division of Allergy, Pulmonary, and Critical Care Medicine Vanderbilt University Medical Center Nashville Tennessee USA
| | - Jordan Brooke Davis
- Department of Medicine Division of Allergy, Pulmonary, and Critical Care Medicine Vanderbilt University Medical Center Nashville Tennessee USA
| | - Hubaida Fuseini
- Department of Pathology, Microbiology, and Immunology Vanderbilt University Nashville Tennessee USA
| | - Jeffrey A. Yung
- Department of Medicine Division of Allergy, Pulmonary, and Critical Care Medicine Vanderbilt University Medical Center Nashville Tennessee USA
| | - Jian Zhang
- Department of Medicine Division of Allergy, Pulmonary, and Critical Care Medicine Vanderbilt University Medical Center Nashville Tennessee USA
| | - Hirohito Kita
- Allergic Diseases Research Laboratory Mayo Clinic Phoenix Arizona USA
| | - Vasiliy V. Polosukhin
- Department of Medicine Division of Allergy, Pulmonary, and Critical Care Medicine Vanderbilt University Medical Center Nashville Tennessee USA
| | - Weisong Zhou
- Department of Medicine Division of Allergy, Pulmonary, and Critical Care Medicine Vanderbilt University Medical Center Nashville Tennessee USA
| | - Dawn C. Newcomb
- Department of Medicine Division of Allergy, Pulmonary, and Critical Care Medicine Vanderbilt University Medical Center Nashville Tennessee USA
- Department of Pathology, Microbiology, and Immunology Vanderbilt University Nashville Tennessee USA
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Expression quantitative trait locus fine mapping of the 17q12-21 asthma locus in African American children: a genetic association and gene expression study. THE LANCET RESPIRATORY MEDICINE 2020; 8:482-492. [PMID: 32380068 DOI: 10.1016/s2213-2600(20)30011-4] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 01/08/2020] [Accepted: 01/13/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND African ancestry is associated with a higher prevalence and greater severity of asthma than European ancestries, yet genetic studies of the most common locus associated with childhood-onset asthma, 17q12-21, in African Americans have been inconclusive. The aim of this study was to leverage both the phenotyping of the Children's Respiratory and Environmental Workgroup (CREW) birth cohort consortium, and the reduced linkage disequilibrium in African Americans, to fine map the 17q12-21 locus. METHODS We first did a genetic association study and meta-analysis using 17q12-21 tag single-nucleotide polymorphisms (SNPs) for childhood-onset asthma in 1613 European American and 870 African American children from the CREW consortium. Nine tag SNPs were selected based on linkage disequilibrium patterns at 17q12-21 and their association with asthma, considering the effect allele under an additive model (0, 1, or 2 effect alleles). Results were meta-analysed with publicly available summary data from the EVE consortium (on 4303 European American and 3034 African American individuals) for seven of the nine SNPs of interest. Subsequently, we tested for expression quantitative trait loci (eQTLs) among the SNPs associated with childhood-onset asthma and the expression of 17q12-21 genes in resting peripheral blood mononuclear cells (PBMCs) from 85 African American CREW children and in upper airway epithelial cells from 246 African American CREW children; and in lower airway epithelial cells from 44 European American and 72 African American adults from a case-control study of asthma genetic risk in Chicago (IL, USA). FINDINGS 17q12-21 SNPs were broadly associated with asthma in European Americans. Only two SNPs (rs2305480 in gasdermin-B [GSDMB] and rs8076131 in ORMDL sphingolipid biosynthesis regulator 3 [ORMDL3]) were associated with asthma in African Americans, at a Bonferroni-corrected threshold of p<0·0055 (for rs2305480_G, odds ratio [OR] 1·36 [95% CI 1·12-1·65], p=0·0014; and for rs8076131_A, OR 1·37 [1·13-1·67], p=0·0010). In upper airway epithelial cells from African American children, genotype at rs2305480 was the most significant eQTL for GSDMB (eQTL effect size [β] 1·35 [95% CI 1·25-1·46], p<0·0001), and to a lesser extent showed an eQTL effect for post-GPI attachment to proteins phospholipase 3 (β 1·15 [1·08-1·22], p<0·0001). No SNPs were eQTLs for ORMDL3. By contrast, in PBMCs, the five core SNPs were associated only with expression of GSDMB and ORMDL3. Genotype at rs12936231 (in zona pellucida binding protein 2) showed the strongest associations across both genes (for GSDMB, eQTLβ 1·24 [1·15-1·32], p<0·0001; and for ORMDL3 (β 1·19 [1·12-1·24], p<0·0001). The eQTL effects of rs2305480 on GSDMB expression were replicated in lower airway cells from African American adults (β 1·29 [1·15-1·44], p<0·0001). INTERPRETATION Our study suggests that SNPs regulating GSDMB expression in airway epithelial cells have a major role in childhood-onset asthma, whereas SNPs regulating the expression levels of 17q12-21 genes in resting blood cells are not central to asthma risk. Our genetic and gene expression data in African Americans and European Americans indicated GSDMB to be the leading candidate gene at this important asthma locus. FUNDING National Institutes of Health, Office of the Director.
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16
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Vince N, Limou S, Daya M, Morii W, Rafaels N, Geffard E, Douillard V, Walencik A, Boorgula MP, Chavan S, Vergara C, Ortega VE, Wilson JG, Lange LA, Watson H, Nicolae DL, Meyers DA, Hansel NN, Ford JG, Faruque MU, Bleecker ER, Campbell M, Beaty TH, Ruczinski I, Mathias RA, Taub MA, Ober C, Noguchi E, Barnes KC, Torgerson D, Gourraud PA. Association of HLA-DRB1∗09:01 with tIgE levels among African-ancestry individuals with asthma. J Allergy Clin Immunol 2020; 146:147-155. [PMID: 31981624 DOI: 10.1016/j.jaci.2020.01.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Revised: 12/05/2019] [Accepted: 01/08/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Asthma is a complex chronic inflammatory disease of the airways. Association studies between HLA and asthma were first reported in the 1970s, and yet, the precise role of HLA alleles in asthma is not fully understood. Numerous genome-wide association studies were recently conducted on asthma, but were always limited to simple genetic markers (single nucleotide polymorphisms) and not complex HLA gene polymorphisms (alleles/haplotypes), therefore not capturing the biological relevance of this complex locus for asthma pathogenesis. OBJECTIVE To run the first HLA-centric association study with asthma and specific asthma-related phenotypes in a large cohort of African-ancestry individuals. METHODS We collected high-density genomics data for the Consortium on Asthma among African-ancestry Populations in the Americas (N = 4993) participants. Using computer-intensive machine-learning attribute bagging methods to infer HLA alleles, and Easy-HLA to infer HLA 5-gene haplotypes, we conducted a high-throughput HLA-centric association study of asthma susceptibility and total serum IgE (tIgE) levels in subjects with and without asthma. RESULTS Among the 1607 individuals with asthma, 972 had available tIgE levels, with a mean tIgE level of 198.7 IU/mL. We could not identify any association with asthma susceptibility. However, we showed that HLA-DRB1∗09:01 was associated with increased tIgE levels (P = 8.5 × 10-4; weighted effect size, 0.51 [0.15-0.87]). CONCLUSIONS We identified for the first time an HLA allele associated with tIgE levels in African-ancestry individuals with asthma. Our report emphasizes that by leveraging powerful computational machine-learning methods, specific/extreme phenotypes, and population diversity, we can explore HLA gene polymorphisms in depth and reveal the full extent of complex disease associations.
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Affiliation(s)
- Nicolas Vince
- Université de Nantes, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, Nantes, France
| | - Sophie Limou
- Université de Nantes, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, Nantes, France; Ecole Centrale de Nantes, Nantes, France
| | - Michelle Daya
- Department of Medicine, University of Colorado Denver, Aurora, Colo
| | - Wataru Morii
- Department of Medical Genetics, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Nicholas Rafaels
- Department of Medicine, University of Colorado Denver, Aurora, Colo
| | - Estelle Geffard
- Université de Nantes, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, Nantes, France
| | - Venceslas Douillard
- Université de Nantes, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, Nantes, France
| | - Alexandre Walencik
- Université de Nantes, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, Nantes, France
| | | | - Sameer Chavan
- Department of Medicine, University of Colorado Denver, Aurora, Colo
| | | | - Victor E Ortega
- Department of Internal Medicine, Section on Pulmonary, Critical Care, Allergy and Immunologic Diseases, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Miss
| | - Leslie A Lange
- Department of Medicine, University of Colorado Denver, Aurora, Colo
| | - Harold Watson
- Faculty of Medical Sciences Cave Hill Campus, The University of the West Indies, Bridgetown, Barbados
| | - Dan L Nicolae
- Department of Medicine, University of Chicago, Chicago, Ill
| | - Deborah A Meyers
- Department of Medicine, University of Arizona College of Medicine, Tucson, Ariz
| | - Nadia N Hansel
- Department of Medicine, Johns Hopkins University, Baltimore, Md
| | - Jean G Ford
- Department of Medicine, Einstein Medical Center, Philadelphia, Pa
| | - Mezbah U Faruque
- National Human Genome Center, Howard University College of Medicine, Washington, DC
| | - Eugene R Bleecker
- Department of Medicine, University of Arizona College of Medicine, Tucson, Ariz
| | - Monica Campbell
- Department of Medicine, University of Colorado Denver, Aurora, Colo
| | - Terri H Beaty
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Md
| | - Ingo Ruczinski
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Md
| | - Rasika A Mathias
- Department of Medicine, Johns Hopkins University, Baltimore, Md; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Md
| | - Margaret A Taub
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Md
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago, Ill
| | - Emiko Noguchi
- Department of Medical Genetics, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | | | - Dara Torgerson
- McGill University and Genome Quebec Innovation Centre, Montreal, Quebec, Canada
| | - Pierre-Antoine Gourraud
- Université de Nantes, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, Nantes, France.
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Zhang H, De T, Zhong Y, Perera MA. The Advantages and Challenges of Diversity in Pharmacogenomics: Can Minority Populations Bring Us Closer to Implementation? Clin Pharmacol Ther 2020; 106:338-349. [PMID: 31038731 DOI: 10.1002/cpt.1491] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 04/18/2019] [Indexed: 01/01/2023]
Abstract
Health disparities exist among minorities in the United States, with differences seen in disease prevalence, mortality, and responses to medications. These differences are multifactorial with genetic variation explaining a portion of this variability. Pharmacogenomics aims to find the effect of genetic variations on drug response, with the goal of optimizing drug therapy and development. Although genome-wide association studies have been useful in unbiasedly surveying the genome for genetic drivers of clinically relevant phenotypes, most of these studies have been conducted in mainly participants of European and Asian descent, contributing to a growing health disparity in precision medicine. Diversity is important to pharmacogenomic studies, and there may be real advantages to the use of these complex genomes in pharmacogenomics. In this review we will outline some of the advantages and confounders of pharmacogenomics in minorities, describe the role of genetic variation in pharmacologic pathways, and highlight a number of population-specific findings.
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Affiliation(s)
- Honghong Zhang
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Tanima De
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Yizhen Zhong
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Minoli A Perera
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
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18
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Kabesch M, Tost J. Recent findings in the genetics and epigenetics of asthma and allergy. Semin Immunopathol 2020; 42:43-60. [PMID: 32060620 PMCID: PMC7066293 DOI: 10.1007/s00281-019-00777-w] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Accepted: 12/22/2019] [Indexed: 12/16/2022]
Abstract
In asthma and allergy genetics, a trend towards a few main topics developed over the last 2 years. First, a number of studies have been published recently which focus on overlapping and/or very specific phenotypes: within the allergy spectrum but also reaching beyond, looking for common genetic traits shared between different diseases or disease entities. Secondly, an urgently needed focus has been put on asthma and allergy genetics in populations genetically different from European ancestry. This acknowledges that the majority of new asthma patients today are not white and asthma is a truly worldwide disease. In epigenetics, recent years have seen several large-scale epigenome-wide association studies (EWAS) being published and a further focus was on the interaction between the environment and epigenetic signatures. And finally, the major trends in current asthma and allergy genetics and epigenetics comes from the field of pharmacogenetics, where it is necessary to understand the susceptibility for and mechanisms of current asthma and allergy therapies while at the same time, we need to have scientific answers to the recent availability of novel drugs that hold the promise for a more individualized therapy.
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Affiliation(s)
- Michael Kabesch
- Department of Pediatric Pneumology and Allergy, St. Hedwig's Hospital of the order of St. John, University Children's Hospital Regensburg (KUNO), Steinmetzstr. 1-3, 93049, Regensburg, Germany.
| | - Jörg Tost
- Laboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, CEA - Institut de Biologie François Jacob, 2 rue Gaston Crémieux, 91000, Evry, France
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19
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McGeachie MJ, Sordillo JE, Dahlin A, Wang AL, Lutz SM, Tantisira KG, Panganiban R, Lu Q, Sajuthi S, Urbanek C, Kelly R, Saef B, Eng C, Oh SS, Kho AT, Croteau-Chonka DC, Weiss ST, Raby BA, Mak ACY, Rodriguez-Santana JR, Burchard EG, Seibold MA, Wu AC. Expression of SMARCD1 interacts with age in association with asthma control on inhaled corticosteroid therapy. Respir Res 2020; 21:31. [PMID: 31992292 PMCID: PMC6988322 DOI: 10.1186/s12931-020-1295-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 01/14/2020] [Indexed: 01/13/2023] Open
Abstract
Background Global gene expression levels are known to be highly dependent upon gross demographic features including age, yet identification of age-related genomic indicators has yet to be comprehensively undertaken in a disease and treatment-specific context. Methods We used gene expression data from CD4+ lymphocytes in the Asthma BioRepository for Integrative Genomic Exploration (Asthma BRIDGE), an open-access collection of subjects participating in genetic studies of asthma with available gene expression data. Replication population participants were Puerto Rico islanders recruited as part of the ongoing Genes environments & Admixture in Latino Americans (GALA II), who provided nasal brushings for transcript sequencing. The main outcome measure was chronic asthma control as derived by questionnaires. Genomic associations were performed using regression of chronic asthma control score on gene expression with age in years as a covariate, including a multiplicative interaction term for gene expression times age. Results The SMARCD1 gene (SWI/SNF-related matrix-associated actin-dependent regulator of chromatin subfamily D member 1) interacted with age to influence chronic asthma control on inhaled corticosteroids, with a doubling of expression leading to an increase of 1.3 units of chronic asthma control per year (95% CI [0.86, 1.74], p = 6 × 10− 9), suggesting worsening asthma control with increasing age. This result replicated in GALA II (p = 3.8 × 10− 8). Cellular assays confirmed the role of SMARCD1 in glucocorticoid response in airway epithelial cells. Conclusion Focusing on age-dependent factors may help identify novel indicators of asthma medication response. Age appears to modulate the effect of SMARCD1 on asthma control with inhaled corticosteroids.
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Affiliation(s)
- Michael J McGeachie
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Joanne E Sordillo
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, 401 Park Drive, Suite 401, Boston, MA, 02215-5301, USA
| | - Amber Dahlin
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Alberta L Wang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sharon M Lutz
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, 401 Park Drive, Suite 401, Boston, MA, 02215-5301, USA
| | - Kelan G Tantisira
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ronald Panganiban
- Program in Molecular and Integrative Physiological Sciences, Departments of Environmental Health and Genetics & Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Quan Lu
- Program in Molecular and Integrative Physiological Sciences, Departments of Environmental Health and Genetics & Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Satria Sajuthi
- Center for Genes, Environment and Health, Department of Pediatrics, National Jewish Health, Denver, CO, USA
| | - Cydney Urbanek
- Center for Genes, Environment and Health, Department of Pediatrics, National Jewish Health, Denver, CO, USA
| | - Rachel Kelly
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Benjamin Saef
- Center for Genes, Environment and Health, Department of Pediatrics, National Jewish Health, Denver, CO, USA
| | - Celeste Eng
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Sam S Oh
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Alvin T Kho
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA
| | - Damien C Croteau-Chonka
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Scott T Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Benjamin A Raby
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Division of Pulmonary and Respiratory Diseases, Boston Children's Hospital, Boston, MA, USA
| | - Angel C Y Mak
- Center for Genes, Environment and Health, Department of Pediatrics, National Jewish Health, Denver, CO, USA
| | | | - Esteban G Burchard
- Center for Genes, Environment and Health, Department of Pediatrics, National Jewish Health, Denver, CO, USA
| | - Max A Seibold
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Ann Chen Wu
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, 401 Park Drive, Suite 401, Boston, MA, 02215-5301, USA.
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20
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Nieto-Fontarigo JJ, González-Barcala FJ, San José E, Arias P, Nogueira M, Salgado FJ. CD26 and Asthma: a Comprehensive Review. Clin Rev Allergy Immunol 2019; 56:139-160. [PMID: 27561663 PMCID: PMC7090975 DOI: 10.1007/s12016-016-8578-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Asthma is a heterogeneous and chronic inflammatory family of disorders of the airways with increasing prevalence that results in recurrent and reversible bronchial obstruction and expiratory airflow limitation. These diseases arise from the interaction between environmental and genetic factors, which collaborate to cause increased susceptibility and severity. Many asthma susceptibility genes are linked to the immune system or encode enzymes like metalloproteases (e.g., ADAM-33) or serine proteases. The S9 family of serine proteases (prolyl oligopeptidases) is capable to process peptide bonds adjacent to proline, a kind of cleavage-resistant peptide bonds present in many growth factors, chemokines or cytokines that are important for asthma. Curiously, two serine proteases within the S9 family encoded by genes located on chromosome 2 appear to have a role in asthma: CD26/dipeptidyl peptidase 4 (DPP4) and DPP10. The aim of this review is to summarize the current knowledge about CD26 and to provide a structured overview of the numerous functions and implications that this versatile enzyme could have in this disease, especially after the detection of some secondary effects (e.g., viral nasopharyngitis) in type II diabetes mellitus patients (a subset with a certain risk of developing obesity-related asthma) upon CD26 inhibitory therapy.
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Affiliation(s)
- Juan J Nieto-Fontarigo
- Department of Biochemistry and Molecular Biology, Faculty of Biology-Biological Research Centre (CIBUS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Francisco J González-Barcala
- Department of Biochemistry and Molecular Biology, Faculty of Biology-Biological Research Centre (CIBUS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Respiratory Department, Clinic University Hospital (CHUS), Santiago de Compostela, Spain
| | - Esther San José
- Clinical Analysis Service, Clinic University Hospital (CHUS), Santiago de Compostela, Spain
| | - Pilar Arias
- Department of Biochemistry and Molecular Biology, Faculty of Biology-Biological Research Centre (CIBUS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Montserrat Nogueira
- Department of Biochemistry and Molecular Biology, Faculty of Biology-Biological Research Centre (CIBUS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Francisco J Salgado
- Department of Biochemistry and Molecular Biology, Faculty of Biology-Biological Research Centre (CIBUS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain.
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Daya M, Barnes KC. African American ancestry contribution to asthma and atopic dermatitis. Ann Allergy Asthma Immunol 2019; 122:456-462. [PMID: 30772392 PMCID: PMC6500742 DOI: 10.1016/j.anai.2019.02.009] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 02/06/2019] [Accepted: 02/08/2019] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Asthma and atopic dermatitis (AD) are complex diseases with striking disparities across racial and ethnic groups, which may be partly attributable to genetic factors. Here we summarize current knowledge from asthma and AD genome-wide association studies (GWAS) and pharmacogenetic studies in African ancestry populations. DATA SOURCES GWAS catalog; PUBMed. STUDY SELECTIONS GWAS catalog studies with trait annotations "asthma" and "atopic eczema" and African ancestry individuals in the discovery dataset; the recent CAAPA asthma GWAS; reports on pharmacogenetic studies in asthma and AD. RESULTS Although GWASs have revolutionized gene discovery for multiple complex traits, African Americans continue to be severely underrepresented in sufficiently powered genetics studies. Indeed, of the 16 asthma and 21 AD loci that reached genomewide significance in Europeans, very few have replicated in African ancestry populations. Challenges in comparing results from European vs African ancestry cohorts include modest sample size, differences in risk allele frequency, effect size, correlation between genetic variants, and environmental exposure in evolutionary history. African Americans also constitute a small percentage of dermatological and respiratory-focused clinical trials. Pharmacogenetic studies have similarly been focused largely on non-Hispanic whites, despite compelling evidence that genetic variation from different ancestral backgrounds may alter therapeutic efficacy of asthma and AD drugs. CONCLUSION Large-scale genetic studies of asthma and AD in African Americans are essential to reduce research and health disparities and empower scientific discoveries.
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Affiliation(s)
- Michelle Daya
- Department of Medicine, University of Colorado Denver, Aurora, Colorado
| | - Kathleen C Barnes
- Department of Medicine, University of Colorado Denver, Aurora, Colorado.
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Reconstructing recent population history while mapping rare variants using haplotypes. Sci Rep 2019; 9:5849. [PMID: 30971755 PMCID: PMC6458133 DOI: 10.1038/s41598-019-42385-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 03/28/2019] [Indexed: 12/11/2022] Open
Abstract
Haplotype-based methods are a cost-effective alternative to characterize unobserved rare variants and map disease-associated alleles. Moreover, they can be used to reconstruct recent population history, which shaped distribution of rare variants and thus can be used to guide gene mapping studies. In this study, we analysed Illumina 650 k genotyped dataset on three underrepresented populations from Eastern Europe, where ancestors of Russians came into contact with two indigenous ethnic groups, Bashkirs and Tatars. Using the IBD mapping approach, we identified two rare IBD haplotypes strongly enriched in asthma patients of distinct ethnic background. We reconstructed recent population history using haplotype-based methods to reconcile this contradictory finding. Our ChromoPainter analysis showed that these haplotypes each descend from a single ancestor coming from one of the ethnic groups studied. Next, we used DoRIS approach and showed that source populations for patients exchanged recent (<60 generations) asymmetric gene flow, which supported the ChromoPainter-based scenario that patients share haplotypes through inter-ethnic admixture. Finally, we show that these IBD haplotypes overlap with asthma-associated genomic regions ascertained in European population. This finding is consistent with the fact that the two donor populations for the rare IBD haplotypes: Russians and Tatars have European ancestry.
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Xu J, Gaddis NC, Bartz TM, Hou R, Manichaikul AW, Pankratz N, Smith AV, Sun F, Terzikhan N, Markunas CA, Patchen BK, Schu M, Beydoun MA, Brusselle GG, Eiriksdottir G, Zhou X, Wood AC, Graff M, Harris TB, Ikram MA, Jacobs DR, Launer LJ, Lemaitre RN, O’Connor GT, Oelsner EC, Psaty BM, Vasan RS, Rohde RR, Rich SS, Rotter JI, Seshadri S, Smith LJ, Tiemeier H, Tsai MY, Uitterlinden AG, Voruganti VS, Xu H, Zilhão NR, Fornage M, Zillikens MC, London SJ, Barr RG, Dupuis J, Gharib SA, Gudnason V, Lahousse L, North KE, Steffen LM, Cassano PA, Hancock DB. Omega-3 Fatty Acids and Genome-Wide Interaction Analyses Reveal DPP10-Pulmonary Function Association. Am J Respir Crit Care Med 2019; 199:631-642. [PMID: 30199657 PMCID: PMC6396866 DOI: 10.1164/rccm.201802-0304oc] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 09/07/2018] [Indexed: 12/18/2022] Open
Abstract
RATIONALE Omega-3 polyunsaturated fatty acids (n-3 PUFAs) have anti-inflammatory properties that could benefit adults with comprised pulmonary health. OBJECTIVE To investigate n-3 PUFA associations with spirometric measures of pulmonary function tests (PFTs) and determine underlying genetic susceptibility. METHODS Associations of n-3 PUFA biomarkers (α-linolenic acid, eicosapentaenoic acid, docosapentaenoic acid [DPA], and docosahexaenoic acid [DHA]) were evaluated with PFTs (FEV1, FVC, and FEV1/FVC) in meta-analyses across seven cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (N = 16,134 of European or African ancestry). PFT-associated n-3 PUFAs were carried forward to genome-wide interaction analyses in the four largest cohorts (N = 11,962) and replicated in one cohort (N = 1,687). Cohort-specific results were combined using joint 2 degree-of-freedom (2df) meta-analyses of SNP associations and their interactions with n-3 PUFAs. RESULTS DPA and DHA were positively associated with FEV1 and FVC (P < 0.025), with evidence for effect modification by smoking and by sex. Genome-wide analyses identified a novel association of rs11693320-an intronic DPP10 SNP-with FVC when incorporating an interaction with DHA, and the finding was replicated (P2df = 9.4 × 10-9 across discovery and replication cohorts). The rs11693320-A allele (frequency, ∼80%) was associated with lower FVC (PSNP = 2.1 × 10-9; βSNP = -161.0 ml), and the association was attenuated by higher DHA levels (PSNP×DHA interaction = 2.1 × 10-7; βSNP×DHA interaction = 36.2 ml). CONCLUSIONS We corroborated beneficial effects of n-3 PUFAs on pulmonary function. By modeling genome-wide n-3 PUFA interactions, we identified a novel DPP10 SNP association with FVC that was not detectable in much larger studies ignoring this interaction.
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Affiliation(s)
- Jiayi Xu
- Division of Nutritional Sciences, Cornell University, Ithaca, New York
| | | | - Traci M. Bartz
- Department of Biostatistics
- Cardiovascular Health Research Unit
| | - Ruixue Hou
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, North Carolina
| | - Ani W. Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | | | - Albert V. Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Fangui Sun
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Natalie Terzikhan
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Epidemiology
| | - Christina A. Markunas
- Center for Omics Discovery and Epidemiology, Behavioral Health Research Division, and
| | - Bonnie K. Patchen
- Division of Nutritional Sciences, Cornell University, Ithaca, New York
| | - Matthew Schu
- Genomics in Public Health and Medicine Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, North Carolina
| | - May A. Beydoun
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | - Guy G. Brusselle
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Epidemiology
- Department of Respiratory Medicine
| | | | - Xia Zhou
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Alexis C. Wood
- USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, Texas
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Tamara B. Harris
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | | | - David R. Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Lenore J. Launer
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | | | | | | | - Bruce M. Psaty
- Cardiovascular Health Research Unit
- Department of Medicine
- Department of Epidemiology
- Department of Health Services, and
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Ramachandran S. Vasan
- Division of Cardiology and Preventive Medicine, Department of Medicine, and
- Boston University’s and NHLBI’s Framingham Heart Study, Framingham, Massachusetts
| | - Rebecca R. Rohde
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor–UCLA Medical Center, Torrance, California
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Glenn Biggs Institute of Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, Texas
| | - Lewis J. Smith
- Division of Pulmonary and Critical Care, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Henning Tiemeier
- Department of Epidemiology
- Department of Psychiatry
- Department of Child and Adolescent Psychiatry, and
| | | | | | - V. Saroja Voruganti
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, North Carolina
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | | | - Myriam Fornage
- Institute of Molecular Medicine and
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas
| | - M. Carola Zillikens
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
- Netherlands Genomics Initiative–sponsored Netherlands Consortium for Healthy Aging, Leiden, the Netherlands
| | - Stephanie J. London
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - R. Graham Barr
- Department of Medicine, Columbia University, New York, New York
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Sina A. Gharib
- Department of Medicine
- Center for Lung Biology, University of Washington, Seattle, Washington
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Lies Lahousse
- Department of Epidemiology
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Kari E. North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Lyn M. Steffen
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Patricia A. Cassano
- Division of Nutritional Sciences, Cornell University, Ithaca, New York
- Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, New York
| | - Dana B. Hancock
- Center for Omics Discovery and Epidemiology, Behavioral Health Research Division, and
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Association study in African-admixed populations across the Americas recapitulates asthma risk loci in non-African populations. Nat Commun 2019; 10:880. [PMID: 30787307 PMCID: PMC6382865 DOI: 10.1038/s41467-019-08469-7] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 01/08/2019] [Indexed: 12/15/2022] Open
Abstract
Asthma is a complex disease with striking disparities across racial and ethnic groups. Despite its relatively high burden, representation of individuals of African ancestry in asthma genome-wide association studies (GWAS) has been inadequate, and true associations in these underrepresented minority groups have been inconclusive. We report the results of a genome-wide meta-analysis from the Consortium on Asthma among African Ancestry Populations (CAAPA; 7009 asthma cases, 7645 controls). We find strong evidence for association at four previously reported asthma loci whose discovery was driven largely by non-African populations, including the chromosome 17q12-q21 locus and the chr12q13 region, a novel (and not previously replicated) asthma locus recently identified by the Trans-National Asthma Genetic Consortium (TAGC). An additional seven loci reported by TAGC show marginal evidence for association in CAAPA. We also identify two novel loci (8p23 and 8q24) that may be specific to asthma risk in African ancestry populations.
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25
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Kim KW, Ober C. Lessons Learned From GWAS of Asthma. ALLERGY, ASTHMA & IMMUNOLOGY RESEARCH 2019; 11:170-187. [PMID: 30661310 PMCID: PMC6340805 DOI: 10.4168/aair.2019.11.2.170] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 09/05/2018] [Indexed: 02/05/2023]
Abstract
Asthma is a common complex disease of the airways. Genome-wide association studies (GWASs) of asthma have identified many risk alleles and loci that have been replicated in worldwide populations. Although the risk alleles identified by GWAS have small effects and explain only a small portion of prevalence, the discovery of asthma loci can provide an understanding of its genetic architecture and the molecular pathways involved in disease pathogenesis. These discoveries can translate into advances in clinical care by identifying therapeutic targets, preventive strategies and ultimately approaches for personalized medicine. In this review, we summarize results from GWAS of asthma from the past 10 years and the insights gleaned from these discoveries.
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Affiliation(s)
- Kyung Won Kim
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS project for Medical Science, Yonsei University College of Medicine, Seoul, Korea.
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
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26
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Hernandez-Pacheco N, Pino-Yanes M, Flores C. Genomic Predictors of Asthma Phenotypes and Treatment Response. Front Pediatr 2019; 7:6. [PMID: 30805318 PMCID: PMC6370703 DOI: 10.3389/fped.2019.00006] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 01/10/2019] [Indexed: 12/11/2022] Open
Abstract
Asthma is a complex respiratory disease considered as the most common chronic condition in children. A large genetic contribution to asthma susceptibility is predicted by the clustering of asthma and allergy symptoms among relatives and the large disease heritability estimated from twin studies, ranging from 55 to 90%. Genetic basis of asthma has been extensively investigated in the past 40 years using linkage analysis and candidate-gene association studies. However, the development of dense arrays for polymorphism genotyping has enabled the transition toward genome-wide association studies (GWAS), which have led the discovery of several unanticipated asthma genes in the last 11 years. Despite this, currently known risk variants identified using many thousand samples from distinct ethnicities only explain a small proportion of asthma heritability. This review examines the main findings of the last 2 years in genomic studies of asthma using GWAS and admixture mapping studies, as well as the direction of studies fostering integrative perspectives involving omics data. Additionally, we discuss the need for assessing the whole spectrum of genetic variation in association studies of asthma susceptibility, severity, and treatment response in order to further improve our knowledge of asthma genes and predictive biomarkers. Leveraging the individual's genetic information will allow a better understanding of asthma pathogenesis and will facilitate the transition toward a more precise diagnosis and treatment.
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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, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, Santa Cruz de Tenerife, 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, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, Santa Cruz de Tenerife, Spain.,CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - 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, Santa Cruz de Tenerife, Spain
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27
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Lima LC, Queiroz GDA, Costa RDS, Alcantara-Neves NM, Marques CR, Costa GNDO, Barreto ML, Figueiredo CAV, Carneiro VL. Genetic variants in RORA are associated with asthma and allergy markers in an admixed population. Cytokine 2018; 113:177-184. [PMID: 30539779 DOI: 10.1016/j.cyto.2018.07.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 06/21/2018] [Accepted: 07/02/2018] [Indexed: 12/14/2022]
Abstract
Asthma and allergy affect hundreds of millions of people from childhood to old age. In most of them, the inflammatory process of respiratory allergies involves the participation of type 2 cytokines, derived from T helper-2 (Th2)-cell, and Group 2 Innate Lymphoid (ILC2) Cells. An efficient memory Th2 cell response is dependent on IL-13 produced by ILC2s, causing allergic lung inflammation and elevated serum levels of immunoglobulin E. ILC2 cells are derived from common lymphoid progenitors and their growing depends on the transcription factor RORA. The aim of this work was to identify genetic variants in RORA associated with asthma phenotypes and allergy markers. Genomic DNA samples of 1246 individuals participating from Social Changes Asthma and Allergy in Latin America Program (SCAALA) have been genotyped using Illumina Human 2.5 Omni Beadchip. Logistics regressions have been performed to analyze the association among RORA variants and asthma, skin prick tests (SPT), specific IgE and type 2 cytokine production. Twelve single nucleotide variants (SNVs) were significantly associated with atopy (P < 0.01), in which four of them, rs10162630, rs17191519, rs17270243, and rs55796775 and their haplotypes were strongly and positively associated (P < 0.001). Furthermore, these variants increased the RORA gene expression in silico analysis. Other SNVs in RORA were associated with allergy markers, atopic and non-atopic asthma. Therefore, it is believed that variants in RORA gene may influence immunologic features of asthma and allergies and could be possible targets for future treatment of allergic diseases.
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Affiliation(s)
- Louise Correia Lima
- Departamento de Ciências da Vida, Universidade do Estado da Bahia, Salvador, BA, Brazil
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28
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Huo Y, Zhang HY. Genetic Mechanisms of Asthma and the Implications for Drug Repositioning. Genes (Basel) 2018; 9:genes9050237. [PMID: 29751569 PMCID: PMC5977177 DOI: 10.3390/genes9050237] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 04/21/2018] [Accepted: 04/26/2018] [Indexed: 12/20/2022] Open
Abstract
Asthma is a chronic disease that is caused by airway inflammation. The main features of asthma are airway hyperresponsiveness (AHR) and reversible airway obstruction. The disease is mainly managed using drug therapy. The current asthma drug treatments are divided into two categories, namely, anti-inflammatory drugs and bronchodilators. However, disease control in asthma patients is not very efficient because the pathogenesis of asthma is complicated, inducing factors that are varied, such as the differences between individual patients. In this paper, we delineate the genetic mechanisms of asthma, and present asthma-susceptible genes and genetic pharmacology in an attempt to find a diagnosis, early prevention, and treatment methods for asthma. Finally, we reposition some clinical drugs for asthma therapy, based on asthma genetics.
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Affiliation(s)
- Yue Huo
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
| | - Hong-Yu Zhang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
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29
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Zhang Y, Poobalasingam T, Yates LL, Walker SA, Taylor MS, Chessum L, Harrison J, Tsaprouni L, Adcock IM, Lloyd CM, Cookson WO, Moffatt MF, Dean CH. Manipulation of dipeptidylpeptidase 10 in mouse and human in vivo and in vitro models indicates a protective role in asthma. Dis Model Mech 2018; 11:dmm.031369. [PMID: 29361513 PMCID: PMC5818078 DOI: 10.1242/dmm.031369] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Accepted: 12/07/2017] [Indexed: 12/20/2022] Open
Abstract
We previously identified dipeptidylpeptidase 10 (DPP10) on chromosome 2 as a human asthma susceptibility gene, through positional cloning. Initial association results were confirmed in many subsequent association studies but the functional role of DPP10 in asthma remains unclear. Using the MRC Harwell N-ethyl-N-nitrosourea (ENU) DNA archive, we identified a point mutation in Dpp10 that caused an amino acid change from valine to aspartic acid in the β-propeller region of the protein. Mice carrying this point mutation were recovered and a congenic line was established (Dpp10145D). Macroscopic examination and lung histology revealed no significant differences between wild-type and Dpp10145D/145D mice. However, after house dust mite (HDM) treatment, Dpp10 mutant mice showed significantly increased airway resistance in response to 100 mg/ml methacholine. Total serum IgE levels and bronchoalveolar lavage (BAL) eosinophil counts were significantly higher in homozygotes than in control mice after HDM treatment. DPP10 protein is present in airway epithelial cells and altered expression is observed in both tissue from asthmatic patients and in mice following HDM challenge. Moreover, knockdown of DPP10 in human airway epithelial cells results in altered cytokine responses. These results show that a Dpp10 point mutation leads to increased airway responsiveness following allergen challenge and provide biological evidence to support previous findings from human genetic studies.
This article has an associated First Person interview with the first author of the paper. Summary: Here, we show a novel mouse model carrying a point mutation in dipeptidylpeptidase 10 (Dpp10). Our data provide evidence that DPP10 might play a protective role in asthma.
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Affiliation(s)
- Youming Zhang
- Genomics Medicine Section, National Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK
| | - Thanushiyan Poobalasingam
- Inflammation, Repair and Development Section, National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK
| | - Laura L Yates
- Inflammation, Repair and Development Section, National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK
| | - Simone A Walker
- Inflammation, Repair and Development Section, National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK
| | - Martin S Taylor
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3, 7BN
| | | | | | - Loukia Tsaprouni
- Airway Disease Section, National Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK
| | - Ian M Adcock
- Airway Disease Section, National Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK
| | - Clare M Lloyd
- Inflammation, Repair and Development Section, National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK
| | - William O Cookson
- Genomics Medicine Section, National Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK
| | - Miriam F Moffatt
- Genomics Medicine Section, National Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK
| | - Charlotte H Dean
- Inflammation, Repair and Development Section, National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK .,MRC Harwell Institute, Oxfordshire, OX11 0RD, UK
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Abstract
A significant body of work in the genetics of asthma currently exists. However, current knowledge has not been clarifying in understanding the pathophysiology of asthma and therapeutic treatment of the disease. Severe asthma in adults and children is a significant burden in relation to disproportionate disease morbidity, mortality, and health utilization. This disease phenotype is not well understood; current effective treatment regimens are limited. Genetic studies may lead to improved understanding of the pathophysiology of severe asthma and identification of relevant subsets, which allow more targeted and effective therapies and the realization of Precision Medicine in asthma.
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Vicente CT, Revez JA, Ferreira MAR. Lessons from ten years of genome-wide association studies of asthma. Clin Transl Immunology 2017; 6:e165. [PMID: 29333270 PMCID: PMC5750453 DOI: 10.1038/cti.2017.54] [Citation(s) in RCA: 74] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Revised: 10/10/2017] [Accepted: 10/31/2017] [Indexed: 12/13/2022] Open
Abstract
Twenty-five genome-wide association studies (GWAS) of asthma were published between 2007 and 2016, the largest with a sample size of 157242 individuals. Across these studies, 39 genetic variants in low linkage disequilibrium (LD) with each other were reported to associate with disease risk at a significance threshold of P<5 × 10−8, including 31 in populations of European ancestry. Results from analyses of the UK Biobank data (n=380 503) indicate that at least 28 of the 31 associations reported in Europeans represent true-positive findings, collectively explaining 2.5% of the variation in disease liability (median of 0.06% per variant). We identified 49 transcripts as likely target genes of the published asthma risk variants, mostly based on LD with expression quantitative trait loci (eQTL). Of these genes, 16 were previously implicated in disease pathophysiology by functional studies, including TSLP, TNFSF4, ADORA1, CHIT1 and USF1. In contrast, at present, there is limited or no functional evidence directly implicating the remaining 33 likely target genes in asthma pathophysiology. Some of these genes have a known function that is relevant to allergic disease, including F11R, CD247, PGAP3, AAGAB, CAMK4 and PEX14, and so could be prioritized for functional follow-up. We conclude by highlighting three areas of research that are essential to help translate GWAS findings into clinical research or practice, namely validation of target gene predictions, understanding target gene function and their role in disease pathophysiology and genomics-guided prioritization of targets for drug development.
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Affiliation(s)
| | - Joana A Revez
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
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32
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Yang IV, Lozupone CA, Schwartz DA. The environment, epigenome, and asthma. J Allergy Clin Immunol 2017; 140:14-23. [PMID: 28673400 DOI: 10.1016/j.jaci.2017.05.011] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 05/10/2017] [Accepted: 05/12/2017] [Indexed: 12/21/2022]
Abstract
Asthma prevalence has been on the increase, especially in North America compared with other continents. However, the prevalence of asthma differs worldwide, and in many countries the prevalence is stable or decreasing. This highlights the influence of environmental exposures, such as allergens, air pollution, and the environmental microbiome, on disease etiology and pathogenesis. The epigenome might provide the unifying mechanism that translates the influence of environmental exposures to changes in gene expression, respiratory epithelial function, and immune cell skewing that are hallmarks of asthma. In this review we will introduce the concept of the environmental epigenome in asthmatic patients, summarize previous publications of relevance to this field, and discuss future directions.
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Affiliation(s)
- Ivana V Yang
- Department of Medicine, University of Colorado, School of Medicine, Aurora, Colo; National Jewish Health, Denver, Colo; Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, Colo.
| | - Catherine A Lozupone
- Department of Medicine, University of Colorado, School of Medicine, Aurora, Colo
| | - David A Schwartz
- Department of Medicine, University of Colorado, School of Medicine, Aurora, Colo; National Jewish Health, Denver, Colo; Department of Immunology, University of Colorado, Denver, Colo
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33
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Maternal house dust mite exposure during pregnancy enhances severity of house dust mite-induced asthma in murine offspring. J Allergy Clin Immunol 2017; 140:1404-1415.e9. [PMID: 28192144 DOI: 10.1016/j.jaci.2016.12.972] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Revised: 12/06/2016] [Accepted: 12/12/2016] [Indexed: 02/06/2023]
Abstract
BACKGROUND Atopic status of the mother and maternal exposure to environmental factors are associated with increased asthma risk. Moreover, animal models demonstrate that exposure to allergens in strongly sensitized mothers influences offspring asthma development, suggesting that in utero exposures can influence offspring asthma. However, it is unclear whether maternal exposure to common human allergens such as house dust mite (HDM), in the absence of additional adjuvants, influences offspring asthma development. OBJECTIVE We sought to determine whether maternal HDM exposure influences asthma development in offspring. METHODS Pregnant female mice were exposed to PBS or HDM during pregnancy. Using offspring of PBS- or HDM-exposed mothers, the magnitude of HDM or Aspergillus fumigatus (AF) extract-induced airway hyperresponsiveness (AHR), airway inflammation, immunoglobulin production, TH2-associated cytokine synthesis, and pulmonary dendritic cell activity was assessed. RESULTS Compared with offspring of PBS-exposed mothers, offspring of HDM-exposed mothers demonstrate increased AHR, airway inflammation, TH2 cytokine production, and immunoglobulin levels and a modest decrease in the phagocytic capacity of pulmonary macrophage populations following HDM exposure. Increased sensitivity to AF-induced airway disease was not observed. Offspring of HDM-exposed B-cell-deficient mothers also demonstrated increased HDM-induced AHR, suggesting that transfer of maternal immunoglobulins is not required. CONCLUSIONS Our data demonstrate that maternal exposure to HDM during pregnancy increases asthma sensitivity in offspring in an HDM-specific manner, suggesting that vertical transmission of maternal immune responses may be involved. These findings have important implications for regulation of asthma risk, and suggest that exposure to HDM in the developed world may have underappreciated influences on the overall prevalence of allergic asthma.
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Association between IL-13 +1923C/T polymorphism and asthma risk: a meta-analysis based on 26 case-control studies. Biosci Rep 2017; 37:BSR20160505. [PMID: 28057889 PMCID: PMC5270317 DOI: 10.1042/bsr20160505] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 01/02/2017] [Accepted: 01/05/2017] [Indexed: 01/22/2023] Open
Abstract
Asthma is a serious and hereditary respiratory disorder affecting all age groups. Interleukin-13 (IL-13) is a central regulator of allergic inflammation. The purpose of the present study was to estimate the relationship between IL-13 +1923C/T polymorphism and asthma susceptibility. Relevant case-control studies published between January 2000 and July 2016 were searched in the online databases. Review Manage (RevMan) 5.3 was used to conduct the statistical analysis. The pooled odds ratio (OR) with its 95% confidence interval (CI) was employed to calculate the strength of association. A total of 26 articles were retrieved, including 17642 asthma patients and 42402 controls. Overall, our results found that IL-13 +1923C/T polymorphism was significantly associated with increased risk of asthma under each genetic model (P<0.00001). Subgroup analysis by ethnicity showed that alleles and genotypes of this variant correlated with asthma among Asians and Caucasians, but only TT genotype under the homozygote model in Africans. When stratified by age group, this variant highly correlated with asthma in children and moderately in adults. Furthermore, the TT, CT and CC genotypes in asthma group were all significantly associated with increased IgE levels in sera of asthma patients when compared with controls. Our results suggested that IL-13 +1923C/T polymorphism contributed to the development of asthma. Further case-control studies with more ethnicities are still needed.
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Faruque MU, Chen G, Doumatey AP, Zhou J, Huang H, Shriner D, Adeyemo AA, Rotimi CN, Dunston GM. Transferability of genome-wide associated loci for asthma in African Americans. J Asthma 2017; 54:1-8. [PMID: 27177148 PMCID: PMC5300042 DOI: 10.1080/02770903.2016.1188941] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2015] [Revised: 05/05/2016] [Accepted: 05/08/2016] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Transferability of significantly associated loci or GWAS "hits" adds credibility to genotype-disease associations and provides evidence for generalizability across different ancestral populations. We sought evidence of association of known asthma-associated single nucleotide polymorphisms (SNPs) in an African American population. METHODS Subjects comprised 661 participants (261 asthma cases and 400 controls) from the Howard University Family Study. Forty-eight SNPs previously reported to be associated with asthma by GWAS were selected for testing. We adopted a combined strategy by first adopting an "exact" approach where we looked-up only the reported index SNP. For those index SNPs missing form our dataset, we used a "local" approach that examined all the regional SNPs in LD with the index SNP. RESULTS Out of the 48 SNPs, our cohort had genotype data available for 27, which were examined for exact replication. Of these, two SNPs were found positively associated with asthma. These included: rs10508372 (OR = 1.567 [95%CI, 1.133-2.167], P = 0.0066) and rs2378383 (OR = 2.147 [95%CI, 1.149-4.013], P = 0.0166), located on chromosomal bands 10p14 and 9q21.31, respectively. Local replication of the remaining 21 loci showed association at two chromosomal loci (9p24.1-rs2381413 and 6p21.32-rs3132947; Bonferroni-corrected P values: 0.0033 and 0.0197, respectively). Of note, multiple SNPs in LD with rs2381413 located upstream of IL33 were significantly associated with asthma. CONCLUSIONS This study has successfully transferred four reported asthma-associated loci in an independent African American population. Identification of several asthma-associated SNPs in the upstream of the IL33, a gene previously implicated in allergic inflammation of asthmatic airway, supports the generalizability of this finding.
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Affiliation(s)
- Mezbah U. Faruque
- National Human Genome Center, Howard University College of Medicine, Washington, DC, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ayo P. Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jie Zhou
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hanxia Huang
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Adebowale A. Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Charles N. Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Georgia M. Dunston
- National Human Genome Center, Howard University College of Medicine, Washington, DC, USA
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Personalized Medicine. Respir Med 2017. [DOI: 10.1007/978-3-319-43447-6_13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Thompson MD, Capra V, Clunes MT, Rovati GE, Stankova J, Maj MC, Duffy DL. Cysteinyl Leukotrienes Pathway Genes, Atopic Asthma and Drug Response: From Population Isolates to Large Genome-Wide Association Studies. Front Pharmacol 2016; 7:299. [PMID: 27990118 PMCID: PMC5131607 DOI: 10.3389/fphar.2016.00299] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Accepted: 08/24/2016] [Indexed: 02/05/2023] Open
Abstract
Genetic variants associated with asthma pathogenesis and altered response to drug therapy are discussed. Many studies implicate polymorphisms in genes encoding the enzymes responsible for leukotriene synthesis and intracellular signaling through activation of seven transmembrane domain receptors, such as the cysteinyl leukotriene 1 (CYSLTR1) and 2 (CYSLTR2) receptors. The leukotrienes are polyunsaturated lipoxygenated eicosatetraenoic acids that exhibit a wide range of pharmacological and physiological actions. Of the three enzymes involved in the formation of the leukotrienes, arachidonate 5 lipoxygenase 5 (ALOX5), leukotriene C4 synthase (LTC4S), and leukotriene hydrolase (LTA4H) are all polymorphic. These polymorphisms often result in variable production of the CysLTs (LTC4, LTD4, and LTE4) and LTB4. Variable number tandem repeat sequences located in the Sp1-binding motif within the promotor region of the ALOX5 gene are associated with leukotriene burden and bronchoconstriction independent of asthma risk. A 444A > C SNP polymorphism in the LTC4S gene, encoding an enzyme required for the formation of a glutathione adduct at the C-6 position of the arachidonic acid backbone, is associated with severe asthma and altered response to the CYSLTR1 receptor antagonist zafirlukast. Genetic variability in the CysLT pathway may contribute additively or synergistically to altered drug responses. The 601 A > G variant of the CYSLTR2 gene, encoding the Met201Val CYSLTR2 receptor variant, is associated with atopic asthma in the general European population, where it is present at a frequency of ∼2.6%. The variant was originally found in the founder population of Tristan da Cunha, a remote island in the South Atlantic, in which the prevalence of atopy is approximately 45% and the prevalence of asthma is 36%. In vitro work showed that the atopy-associated Met201Val variant was inactivating with respect to ligand binding, Ca2+ flux and inositol phosphate generation. In addition, the CYSLTR1 gene, located at Xq13-21.1, has been associated with atopic asthma. The activating Gly300Ser CYSLTR1 variant is discussed. In addition to genetic loci, risk for asthma may be influenced by environmental factors such as smoking. The contribution of CysLT pathway gene sequence variants to atopic asthma is discussed in the context of other genes and environmental influences known to influence asthma.
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Affiliation(s)
- Miles D Thompson
- Biochemical Genetics and Metabolomics Laboratory, Department of Pediatrics, University of California, San Diego, La JollaCA, USA; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ONCanada
| | - Valerie Capra
- Department of Health Sciences, San Paolo Hospital, Università degli Studi di Milano Milano, Italy
| | - Mark T Clunes
- Department of Physiology/Neuroscience, School of Medicine, Saint George's University Saint George's, Grenada
| | - G E Rovati
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano Milano, Italy
| | - Jana Stankova
- Division of Immunology and Allergy, Department of Pediatrics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke QC, Canada
| | - Mary C Maj
- Department of Biochemistry, School of Medicine, Saint George's University Saint George's, Grenada
| | - David L Duffy
- QIMR Berghofer Medical Research Institute, Herston QLD, Australia
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Moosavi A, Ardekani AM. Role of Epigenetics in Biology and Human Diseases. IRANIAN BIOMEDICAL JOURNAL 2016; 20:246-58. [PMID: 27377127 PMCID: PMC5075137 DOI: 10.22045/ibj.2016.01] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Revised: 02/22/2016] [Accepted: 03/08/2016] [Indexed: 12/11/2022]
Abstract
For a long time, scientists have tried to describe disorders just by genetic or environmental factors. However, the role of epigenetics in human diseases has been considered from a half of century ago. In the last decade, this subject has attracted many interests, especially in complicated disorders such as behavior plasticity, memory, cancer, autoimmune disease, and addiction as well as neurodegenerative and psychological disorders. This review first explains the history and classification of epigenetic modifications, and then the role of epigenetic in biology and connection between the epigenetics and environment are explained. Furthermore, the role of epigenetics in human diseases is considered by focusing on some diseases with some complicated features, and at the end, we have given the future perspective of this field. The present review article provides concepts with some examples to reveal a broad view of different aspects of epigenetics in biology and human diseases.
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Affiliation(s)
- Azam Moosavi
- Department of Biochemistry, School of Medicine, Alborz University of Medical Sciences, Alborz, Iran
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Mathias RA, Taub MA, Gignoux CR, Fu W, Musharoff S, O'Connor TD, Vergara C, Torgerson DG, Pino-Yanes M, Shringarpure SS, Huang L, Rafaels N, Boorgula MP, Johnston HR, Ortega VE, Levin AM, Song W, Torres R, Padhukasahasram B, Eng C, Mejia-Mejia DA, Ferguson T, Qin ZS, Scott AF, Yazdanbakhsh M, Wilson JG, Marrugo J, Lange LA, Kumar R, Avila PC, Williams LK, Watson H, Ware LB, Olopade C, Olopade O, Oliveira R, Ober C, Nicolae DL, Meyers D, Mayorga A, Knight-Madden J, Hartert T, Hansel NN, Foreman MG, Ford JG, Faruque MU, Dunston GM, Caraballo L, Burchard EG, Bleecker E, Araujo MI, Herrera-Paz EF, Gietzen K, Grus WE, Bamshad M, Bustamante CD, Kenny EE, Hernandez RD, Beaty TH, Ruczinski I, Akey J, Barnes KC. A continuum of admixture in the Western Hemisphere revealed by the African Diaspora genome. Nat Commun 2016; 7:12522. [PMID: 27725671 PMCID: PMC5062574 DOI: 10.1038/ncomms12522] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Accepted: 07/12/2016] [Indexed: 01/20/2023] Open
Abstract
The African Diaspora in the Western Hemisphere represents one of the largest forced migrations in history and had a profound impact on genetic diversity in modern populations. To date, the fine-scale population structure of descendants of the African Diaspora remains largely uncharacterized. Here we present genetic variation from deeply sequenced genomes of 642 individuals from North and South American, Caribbean and West African populations, substantially increasing the lexicon of human genomic variation and suggesting much variation remains to be discovered in African-admixed populations in the Americas. We summarize genetic variation in these populations, quantifying the postcolonial sex-biased European gene flow across multiple regions. Moreover, we refine estimates on the burden of deleterious variants carried across populations and how this varies with African ancestry. Our data are an important resource for empowering disease mapping studies in African-admixed individuals and will facilitate gene discovery for diseases disproportionately affecting individuals of African ancestry.
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Affiliation(s)
- Rasika Ann Mathias
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
- Department of Epidemiology, Bloomberg School of Public Health, JHU, Baltimore, Maryland 21205, USA
| | - Margaret A. Taub
- Department of Biostatistics, Bloomberg School of Public Health, JHU, Baltimore, Maryland 21205, USA
| | - Christopher R. Gignoux
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Wenqing Fu
- Department of Genomic Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Shaila Musharoff
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Timothy D. O'Connor
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
- Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
| | - Candelaria Vergara
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
| | - Dara G. Torgerson
- Department of Medicine, University of California, San Francisco, San Francisco, California 94143, USA
| | - Maria Pino-Yanes
- Department of Medicine, University of California, San Francisco, San Francisco, California 94143, USA
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid 28029, Spain
| | - Suyash S. Shringarpure
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Lili Huang
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
| | - Nicholas Rafaels
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
| | | | - Henry Richard Johnston
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia 30322, USA
| | - Victor E. Ortega
- Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - Albert M. Levin
- Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan 48202, USA
| | - Wei Song
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
- Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
| | - Raul Torres
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, California 94158, USA
| | - Badri Padhukasahasram
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, Michigan 48202, USA
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, San Francisco, California 94143, USA
| | - Delmy-Aracely Mejia-Mejia
- Centro de Neumologia y Alergias, San Pedro Sula 21102, Honduras
- Faculty of Medicine, Centro Medico de la Familia, San Pedro Sula 21102, Honduras
| | - Trevor Ferguson
- Tropical Medicine Research Institute, The University of the West Indies, St. Michael BB11115, Barbados
| | - Zhaohui S. Qin
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia 30322, USA
| | - Alan F. Scott
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
| | - Maria Yazdanbakhsh
- Department of Parasitology, Leiden University Medical Center, Leiden 2333ZA, The Netherlands
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi 39216, USA
| | - Javier Marrugo
- Instituto de Investigaciones Immunologicas, Universidad de Cartagena, Cartagena 130000, Colombia
| | - Leslie A. Lange
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Rajesh Kumar
- Department of Pediatrics, Northwestern University, Chicago, Illinois 60637, USA
- The Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois 60637, USA
| | - Pedro C. Avila
- Department of Medicine, Northwestern University, Chicago, Illinois 60637, USA
| | - L. Keoki Williams
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, Michigan 48202, USA
- Department of Internal Medicine, Henry Ford Health System, Detroit, Michigan 48202, USA
| | - Harold Watson
- Faculty of Medical Sciences Cave Hill Campus, The University of the West Indies, Bridgetown BB11000, Barbados
- Queen Elizabeth Hospital, The University of the West Indies, St. Michael BB11115, Barbados
| | - Lorraine B. Ware
- Department of Medicine, Vanderbilt University, Nashville, Tennessee 37232, USA
- Department of Pathology, Microbiology and Immunology, Vanderbilt University, Nashville, Tennessee 37232, USA
| | - Christopher Olopade
- Department of Medicine and Center for Global Health, University of Chicago, Chicago, Illinois 60637, USA
| | | | - Ricardo Oliveira
- Laboratório de Patologia Experimental, Centro de Pesquisas Gonçalo Moniz, Salvador 40296-710, Brazil
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago, Illinois 60637, USA
| | - Dan L. Nicolae
- Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
- Department of Statistics, University of Chicago, Chicago, Illinois 60637, USA
| | - Deborah Meyers
- Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - Alvaro Mayorga
- Centro de Neumologia y Alergias, San Pedro Sula 21102, Honduras
| | - Jennifer Knight-Madden
- Tropical Medicine Research Institute, The University of the West Indies, St. Michael BB11115, Barbados
| | - Tina Hartert
- Department of Medicine, Vanderbilt University, Nashville, Tennessee 37232, USA
| | - Nadia N. Hansel
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
| | - Marilyn G. Foreman
- Pulmonary and Critical Care Medicine, Morehouse School of Medicine, Atlanta, Georgia 30310, USA
| | - Jean G. Ford
- Department of Epidemiology, Bloomberg School of Public Health, JHU, Baltimore, Maryland 21205, USA
- Department of Medicine, The Brooklyn Hospital Center, Brooklyn, New York 11201, USA
| | - Mezbah U. Faruque
- National Human Genome Center, Howard University College of Medicine, Washington DC 20059, USA
| | - Georgia M. Dunston
- National Human Genome Center, Howard University College of Medicine, Washington DC 20059, USA
- Department of Microbiology, Howard University College of Medicine, Washington DC 20059, USA
| | - Luis Caraballo
- Institute for Immunological Research, Universidad de Cartagena, Cartagena 130000, Colombia
| | - Esteban G. Burchard
- Department of Medicine, University of California, San Francisco, San Francisco, California 94143, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California 94158, USA
| | - Eugene Bleecker
- Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - Maria Ilma Araujo
- Immunology Service, Universidade Federal da Bahia, Salvador 401110170, Brazil
| | - Edwin Francisco Herrera-Paz
- Centro de Neumologia y Alergias, San Pedro Sula 21102, Honduras
- Faculty of Medicine, Centro Medico de la Familia, San Pedro Sula 21102, Honduras
- Facultad de Medicina, Universidad Catolica de Honduras, San Pedro Sula 21102, Honduras
| | | | | | - Michael Bamshad
- Department of Pediatrics, University of Washington, Seattle, Washington 98195, USA
| | - Carlos D. Bustamante
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Eimear E. Kenny
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Ryan D. Hernandez
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California 94158, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, California 94143, USA
- California Institute for Quantitative Biosciences, University of California, San Francisco, California 94143, USA
| | - Terri H. Beaty
- Department of Epidemiology, Bloomberg School of Public Health, JHU, Baltimore, Maryland 21205, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Bloomberg School of Public Health, JHU, Baltimore, Maryland 21205, USA
| | - Joshua Akey
- Department of Genomic Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Kathleen C. Barnes
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
- Department of Epidemiology, Bloomberg School of Public Health, JHU, Baltimore, Maryland 21205, USA
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Santos-Fernández W, Jones-Turcios G, Ávila-Valle G, Portillo-Canales S, Orellana-Áragon E, Mayorga Á, Herrera-Paz E. Comparison of the prevalence of bronchial asthma in school-aged children and adolescents on Roatán Island and in other coastal communities in Honduras. REVISTA MÉDICA DEL HOSPITAL GENERAL DE MÉXICO 2016. [DOI: 10.1016/j.hgmx.2016.05.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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Luo W, Obeidat M, Di Narzo AF, Chen R, Sin DD, Paré PD, Hao K. Airway Epithelial Expression Quantitative Trait Loci Reveal Genes Underlying Asthma and Other Airway Diseases. Am J Respir Cell Mol Biol 2016; 54:177-87. [PMID: 26102239 DOI: 10.1165/rcmb.2014-0381oc] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Genome-wide association studies (GWASs) have identified loci that are robustly associated with asthma and related phenotypes; however, the molecular mechanisms underlying these associations need to be explored. The most relevant tissues to study the functional consequences of asthma are the airways. We used publically available data to derive expression quantitative trait loci (eQTLs) for human epithelial cells from small and large airways and applied the eQTLs in the interpretation of GWAS results of asthma and related phenotypes. For the small airways (n = 105), we discovered 660 eQTLs at a 10% false discovery rate (FDR), among which 315 eQTLs were not previously reported in a large-scale eQTL study of whole lung tissue. A large fraction of the identified eQTLs is supported by data from Encyclopedia of DNA Elements (ENCODE) showing that the eQTLs reside in regulatory elements (57.5 and 67.6% of cis- and trans-eQTLs, respectively). Published pulmonary GWAS hits were enriched as airway epithelial eQTLs (9.2-fold). Further, genes regulated by asthma GWAS loci in epithelium are significantly enriched in immune response pathways, such as IL-4 signaling (FDR, 5.2 × 10(-4)). The airway epithelial eQTLs described in this study are complementary to previously reported lung eQTLs and represent a powerful resource to link GWAS-associated variants to their regulatory function and thus elucidate the molecular mechanisms underlying asthma and airway-related conditions.
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Affiliation(s)
- Wei Luo
- 1 College of Computer Science and Technology, Huaqiao University, Xiamen, China.,2 Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ma'en Obeidat
- 3 The University of British Columbia Center for Heart Lung Innovation, St. Paul's Hospital, Vancouver, British Columbia, Canada.,4 Respiratory Division, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Antonio Fabio Di Narzo
- 2 Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.,5 Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York; and
| | - Rong Chen
- 2 Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.,5 Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York; and
| | - Don D Sin
- 3 The University of British Columbia Center for Heart Lung Innovation, St. Paul's Hospital, Vancouver, British Columbia, Canada.,4 Respiratory Division, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Peter D Paré
- 3 The University of British Columbia Center for Heart Lung Innovation, St. Paul's Hospital, Vancouver, British Columbia, Canada.,4 Respiratory Division, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ke Hao
- 2 Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.,5 Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York; and.,6 Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
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Zhang Y. Potential therapeutic targets from genetic and epigenetic approaches for asthma. World J Transl Med 2016; 5:14-25. [DOI: 10.5528/wjtm.v5.i1.14] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 01/04/2016] [Indexed: 02/06/2023] Open
Abstract
Asthma is a complex disorder characterised by inflammation of airway and symptoms of wheeze and shortness of breath. Allergic asthma, atopic dermatitis and allergic rhinitis are immunoglobulin E (IgE) related diseases. Current therapies targeting asthma rely on non-specific medication to control airway inflammation and prevent symptoms. Severe asthma remains difficult to treat. Genetic and genomic approaches of asthma and IgE identified many novel loci underling the disease pathophysiology. Recent epigenetic approaches also revealed the insights of DNA methylation and chromatin modification on histones in asthma and IgE. More than 30 microRNAs have been identified to have regulating roles in asthma. Understanding the pathways of the novel genetic loci and epigenetic elements in asthma and IgE will provide new therapeutic means for clinical management of the disease in future.
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Lavoie-Charland E, Bérubé JC, Boulet LP, Bossé Y. Asthma susceptibility variants are more strongly associated with clinically similar subgroups. J Asthma 2016; 53:907-13. [PMID: 27058054 DOI: 10.3109/02770903.2016.1165699] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE Genome-wide association studies (GWAS) identified single nucleotide polymorphisms (SNPs) reproducibly associated with asthma. This study evaluated whether GWAS-nominated SNPs are more strongly associated with asthma patients sharing the same clinical characteristics in order to refine the role of recently identified genes. METHODS Analyses were performed in unrelated French Canadian subjects (566 cases and 416 controls) with data collected on lung function, blood cell counts, atopy, disease history and medication. Previously defined asthma subgroups were used for analysis: 1) older patients with low atopy and low lung function, 2) high atopy, 3) young non-smoking women and 4) high smoking history. Allele frequencies of 68 GWAS-nominated SNPs were compared between controls and cases or controls and subgroups of cases defined by cluster analysis. RESULTS Twelve GWAS-nominated SNPs demonstrated evidence of replication (p value < 0.05) for association with asthma. In phenotypically similar asthma patients, rs10197862, located in IL1RL1/IL18R1, was the most strongly associated SNP with the high atopy subgroup (p = 0.0009). SNPs located at the IL33 and the STARD3/PGAP3 loci were also associated with the high atopy subgroup. Two SNPs, rs1544791 (PDE4D) and rs3806932 (TSLP), were more strongly associated with the high smoking history subgroup than with asthma or any other subgroups. All 10 SNPs that replicated for asthma per se and within subgroups had lower p values in subgroups. Moreover, 12 SNPs were only replicated in a subgroup. CONCLUSION This study shows that the majority of GWAS-nominated SNPs are more strongly associated with homogeneous subgroups of asthma than broadly defined asthma.
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Affiliation(s)
| | | | - Louis-Philippe Boulet
- a Institut Universitaire de Cardiologie et de Pneumologie de Québec , Québec , Canada
| | - Yohan Bossé
- a Institut Universitaire de Cardiologie et de Pneumologie de Québec , Québec , Canada.,b Department of Molecular Medicine , Université Laval , Québec , Canada
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Tang MF, Sy HY, Kong APS, Ko FWS, Wang SS, Liu TC, Chan WC, Wong GWK, Hon KL, Chan JCN, Hui DSC, Leung TF. Genetic effects of multiple asthma loci identified by genomewide association studies on asthma and spirometric indices. Pediatr Allergy Immunol 2016; 27:185-94. [PMID: 26534891 DOI: 10.1111/pai.12505] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/28/2015] [Indexed: 01/25/2023]
Abstract
BACKGROUND Genomewide association study (GWAS) published by GABRIEL consortium identified 10 asthma-associated loci. However, their relationship with lung functions is unclear. This study investigated the association between asthma traits and single-nucleotide polymorphisms (SNPs) of these GWAS loci. METHODS Rs3894194 and rs9273349 were not genotyped due to unavailable TaqMan assays. Genetic associations of remaining eight SNPs were investigated in 903 school-age asthmatics and 1205 non-allergic controls. Four significant SNPs were then replicated in 479 adult asthmatics and 746 adult controls, and 1341 Chinese preschool children. Meta-analyses were performed by combining data from school-age children and adults. Generalized multifactor dimensionality reduction (GMDR) was used to analyze their interactions for asthma traits. RESULTS Childhood asthma was associated with GSDMB_rs2305480 (odds ratio [OR] 0.69, 95% confidence interval [CI] 0.57-0.83). IL13_rs1295686 was associated with all asthma (OR 1.64, 95% CI 1.16-2.32) and early-onset asthma (OR 1.92, 95% CI 1.20-3.06) in adults, whereas GSDMB_rs2305480 was only associated with early-onset asthma (OR 0.69, 95% CI 0.49-0.96). According to meta-analyses, the minor allele of rs2305480 was inversely associated with FEV1 , FVC, and FEV1 /FVC (p < 0.01). GMDR analyses revealed 2-locus models of SLC22A5 with SMAD3 to modulate FEVt /FVC in both preschool children and adults, with IL13 to determine FVC in both school-age children and adults, and with IL2RB to modulate FEV1 /FVC in school-age children. CONCLUSIONS IL13 and GSDMB are replicated as asthma genes. Rs2305480 of GSDMB is also associated with low FEV1 , FVC, and FEV1 /FVC among asthmatics. Moreover, SLC22A5, IL13, SMAD3, and GSDMB interact to modulate spirometric indices.
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Affiliation(s)
- Man Fung Tang
- Department of Paediatrics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Hing Yee Sy
- Department of Paediatrics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Alice Pik-shan Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Fanny Wai-san Ko
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Susan Shuxin Wang
- Department of Paediatrics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Tak Chi Liu
- Department of Paediatrics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Wa Cheong Chan
- Department of Paediatrics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Gary Wing-kin Wong
- Department of Paediatrics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Kam Lun Hon
- Department of Paediatrics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Juliana Chung-ngor Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - David Shu-cheong Hui
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Ting Fan Leung
- Department of Paediatrics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
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Ullemar V, Magnusson PKE, Lundholm C, Zettergren A, Melén E, Lichtenstein P, Almqvist C. Heritability and confirmation of genetic association studies for childhood asthma in twins. Allergy 2016; 71:230-8. [PMID: 26786172 DOI: 10.1111/all.12783] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/02/2015] [Indexed: 02/06/2023]
Abstract
BACKGROUND Although the genetics of asthma has been extensively studied using both quantitative and molecular genetic analysis methods, both approaches lack studies specific to the childhood phenotype and including other allergic diseases. This study aimed to give specific estimates for the heritability of childhood asthma and other allergic diseases, to attempt to replicate findings from genomewide association studies (GWAS) for childhood asthma and to test the same variants against other allergic diseases. METHODS In a cohort of 25 306 Swedish twins aged 9 or 12 years, data on asthma were available from parental interviews and population-based registers. The interviews also inquired about wheeze, hay fever, eczema, and food allergy. Through structural equation modeling, the heritability of all phenotypes was calculated. A subset of 10 075 twins was genotyped for 16 single nucleotide polymorphisms (SNPs) selected from previous GWAS; these were first tested for association with asthma and significant findings also against the other allergic diseases. RESULTS The heritability of any childhood asthma was 0.82 (95% CI 0.79-0.85). For the other allergic diseases, the range was approximately 0.60-0.80. Associations for six SNPs with asthma were replicated, including rs2305480 in the GSDMB gene (OR 0.80, 95% CI 0.74-0.86, P = 1.5*10(-8) ; other significant associations all below P = 3.5*10(-4) ). Of these, only rs3771180 in IL1RL1 was associated with any other allergic disease (for hay fever, OR 0.64, 95% CI 0.53-0.77, P = 2.5*10(-6) ). CONCLUSION Asthma and allergic diseases of childhood are highly heritable, and these high-risk genetic variants associated specifically with childhood asthma, except for one SNP shared with hay fever.
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Affiliation(s)
- V. Ullemar
- Department of Medical Epidemiology and Biostatistics; Karolinska Institutet; Stockholm Sweden
| | - P. K. E. Magnusson
- Department of Medical Epidemiology and Biostatistics; Karolinska Institutet; Stockholm Sweden
| | - C. Lundholm
- Department of Medical Epidemiology and Biostatistics; Karolinska Institutet; Stockholm Sweden
| | - A. Zettergren
- Department of Pharmacology; Institute of Neuroscience and Physiology at the Sahlgrenska Academy; University of Gothenburg; Gothenburg Sweden
- Department of Psychiatry and Neurochemistry; Institute of Neuroscience and Physiology; The Sahlgrenska Academy at University of Gothenburg; Gothenburg Sweden
| | - E. Melén
- Institute of Environmental Medicine; Karolinska Institutet; Stockholm Sweden
- Sachs' Children's Hospital; Stockholm Sweden
| | - P. Lichtenstein
- Department of Medical Epidemiology and Biostatistics; Karolinska Institutet; Stockholm Sweden
| | - C. Almqvist
- Department of Medical Epidemiology and Biostatistics; Karolinska Institutet; Stockholm Sweden
- Astrid Lindgren Children's Hospital; Lung and Allergy Unit; Karolinska University Hospital; Stockholm Sweden
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Costa GNO, Dudbridge F, Fiaccone RL, da Silva TM, Conceição JS, Strina A, Figueiredo CA, Magalhães WCS, Rodrigues MR, Gouveia MH, Kehdy FSG, Horimoto ARVR, Horta B, Burchard EG, Pino-Yanes M, Del Rio Navarro B, Romieu I, Hancock DB, London S, Lima-Costa MF, Pereira AC, Tarazona E, Rodrigues LC, Barreto ML. A genome-wide association study of asthma symptoms in Latin American children. BMC Genet 2015; 16:141. [PMID: 26635092 PMCID: PMC4669662 DOI: 10.1186/s12863-015-0296-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Accepted: 11/17/2015] [Indexed: 01/14/2023] Open
Abstract
Background Asthma is a chronic disease of the airways and, despite the advances in the knowledge of associated genetic regions in recent years, their mechanisms have yet to be explored. Several genome-wide association studies have been carried out in recent years, but none of these have involved Latin American populations with a high level of miscegenation, as is seen in the Brazilian population. Methods 1246 children were recruited from a longitudinal cohort study in Salvador, Brazil. Asthma symptoms were identified in accordance with an International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire. Following quality control, 1 877 526 autosomal SNPs were tested for association with childhood asthma symptoms by logistic regression using an additive genetic model. We complemented the analysis with an estimate of the phenotypic variance explained by common genetic variants. Replications were investigated in independent Mexican and US Latino samples. Results Two chromosomal regions reached genome-wide significance level for childhood asthma symptoms: the 14q11 region flanking the DAD1 and OXA1L genes (rs1999071, MAF 0.32, OR 1.78, 95 % CI 1.45–2.18, p-value 2.83 × 10−8) and 15q22 region flanking the FOXB1 gene (rs10519031, MAF 0.04, OR 3.0, 95 % CI 2.02–4.49, p-value 6.68 × 10−8 and rs8029377, MAF 0.03, OR 2.49, 95 % CI 1.76–3.53, p-value 2.45 × 10−7). eQTL analysis suggests that rs1999071 regulates the expression of OXA1L gene. However, the original findings were not replicated in the Mexican or US Latino samples. Conclusions We conclude that the 14q11 and 15q22 regions may be associated with asthma symptoms in childhood. Electronic supplementary material The online version of this article (doi:10.1186/s12863-015-0296-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Gustavo N O Costa
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil.
| | - Frank Dudbridge
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
| | | | - Thiago M da Silva
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil.
| | | | - Agostino Strina
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil.
| | - Camila A Figueiredo
- Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Brazil.
| | - Wagner C S Magalhães
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
| | - Maira R Rodrigues
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
| | - Mateus H Gouveia
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
| | - Fernanda S G Kehdy
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
| | | | - Bernardo Horta
- Programa de Pós Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brazil.
| | | | - Maria Pino-Yanes
- Department of Medicine, University of California, San Francisco, USA.
| | - Blanca Del Rio Navarro
- Department of Health and Human Services, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA.
| | | | - Dana B Hancock
- Behavioral and Urban Health Program, Research Triangle Institute (RTI) International, Research Triangle Park, North Carolina, USA.
| | - Stephanie London
- Department of Health and Human Services, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA.
| | | | - Alexandre C Pereira
- Instituto de Pesquisas Rene Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brazil.
| | - Eduardo Tarazona
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
| | - Laura C Rodrigues
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
| | - Mauricio L Barreto
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil. .,Centro de Pesquisa Gonçalo Muniz, Fundação Osvaldo Cruz, Salvador, Brazil.
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Martínez B, Builes J, Aguirre D, Mendoza L, Afanador C, Meza C, Marrugo J. Ancestry background of a population sample from Bolivar Department, Colombia. FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES 2015. [DOI: 10.1016/j.fsigss.2015.09.068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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McGeachie MJ, Wu AC, Tse SM, Clemmer GL, Sordillo J, Himes BE, Lasky-Su J, Chase RP, Martinez FD, Weeke P, Shaffer CM, Xu H, Denny JC, Roden DM, Panettieri RA, Raby BA, Weiss ST, Tantisira KG. CTNNA3 and SEMA3D: Promising loci for asthma exacerbation identified through multiple genome-wide association studies. J Allergy Clin Immunol 2015; 136:1503-1510. [PMID: 26073756 PMCID: PMC4676949 DOI: 10.1016/j.jaci.2015.04.039] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2014] [Revised: 04/06/2015] [Accepted: 04/15/2015] [Indexed: 01/03/2023]
Abstract
BACKGROUND Asthma exacerbations are a major cause of morbidity and medical cost. OBJECTIVE The objective of this study was to identify genetic predictors of exacerbations in asthmatic subjects. METHODS We performed a genome-wide association study meta-analysis of acute asthma exacerbation in 2 pediatric clinical trials: the Childhood Asthma Management Program (n = 581) and the Childhood Asthma Research and Education (n = 205) network. Acute asthma exacerbations were defined as treatment with a 5-day course of oral steroids. We obtained a replication cohort from Biobank of Vanderbilt University Medical Center (BioVU; n = 786), the Vanderbilt University electronic medical record-linked DNA biobank. We used CD4(+) lymphocyte genome-wide mRNA expression profiling to identify associations of top single nucleotide polymorphisms with mRNA abundance of nearby genes. RESULTS A locus in catenin (cadherin-associated protein), alpha 3 (CTNNA3), reached genome-wide significance (rs7915695, P = 2.19 × 10(-8); mean exacerbations, 6.05 for minor alleles vs 3.71 for homozygous major alleles). Among the 4 top single nucleotide polymorphisms replicated in BioVU, rs993312 in Sema domain, immunoglobulin domain (Ig), short basic domain, secreted, (semaphorin) 3D (SEMA3D) was significant (P = .0083) and displayed stronger association among African Americans (P = .0004 in BioVU [mean exacerbations, 3.91 vs 1.53]; P = .0089 in the Childhood Asthma Management Program [mean exacerbations, 6.0 vs 3.25]). CTNNA3 variants did not replicate in BioVU. A regulatory variant in the CTNNA3 locus was associated with CTNNA3 mRNA expression in CD4(+) cells from asthmatic patients (P = .00079). CTNNA3 appears to be active in the immune response, and SEMA3D has a plausible role in airway remodeling. We also provide a replication of a previous association of purinergic receptor P2X, ligand-gated ion channel, 7 (P2RX7), with asthma exacerbation. CONCLUSIONS We identified 2 loci associated with exacerbations through a genome-wide association study. CTNNA3 met genome-wide significance thresholds, and SEMA3D replicated in a clinical biobank database.
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Affiliation(s)
- Michael J McGeachie
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass.
| | - Ann C Wu
- Center for Child Health Care Studies, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Mass; Division of General Pediatrics, Department of Pediatrics, Children's Hospital, Boston, Mass
| | - Sze Man Tse
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass
| | - George L Clemmer
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass
| | - Joanne Sordillo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass
| | - Blanca E Himes
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pa
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass
| | - Robert P Chase
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass
| | | | - Peter Weeke
- Department of Internal Medicine, Vanderbilt University School of Medicine, Nashville, Tenn; Department of Cardiology, Copenhagen University Hospital, Gentofte, Denmark
| | - Christian M Shaffer
- Department of Internal Medicine, Vanderbilt University School of Medicine, Nashville, Tenn
| | - Hua Xu
- Health Science Center at Houston, University of Texas, Houston, Tex
| | - Josh C Denny
- Department of Internal Medicine, Vanderbilt University School of Medicine, Nashville, Tenn
| | - Dan M Roden
- Office of Personalized Medicine, Vanderbilt University School of Medicine, Nashville, Tenn
| | - Reynold A Panettieri
- Airways Biology Initiative, University of Pennsylvania Medical Center, Philadelphia, Pa
| | - Benjamin A Raby
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass
| | - Scott T Weiss
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass
| | - Kelan G Tantisira
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass
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Saadeh R, Klaunig J. Children's Inter-Individual Variability and Asthma Development. Int J Health Sci (Qassim) 2015; 9:456-467. [PMID: 26715926 PMCID: PMC4682601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023] Open
Abstract
Children of different ages vary in their response to environmental stressors due to their continuous development and changes in their bodies' anatomy, physiology, and biochemistry. Each age group of children has special biological features that distinguish their toxicokinetic and toxicodynamic characteristics from other age groups. The variability in responses extends to include children of the same age group. These intra- and inter-group differences in biological features explains the variability in responses to environmental exposures. Based on such differences in children's responses to exposures, adverse health outcomes and diseases develop differently in children. One of these diseases that are common in children is asthma. Asthma is a complex respiratory chronic disease that is multifactorial in origin. This paper discusses how variability in certain factors among children contributes to asthma occurrence or exacerbation, and links these factors to asthma in children of different ages. The importance of this review is to provide an insight on factors affecting asthma prevalence among children. These factors are usually overlooked in clinical or public health practice, which might significantly affect asthma management, and decrease the predictability of asthma detection measures. Therefore, keeping these factors into consideration can significantly improve asthma treatment and assist in asthma prevention amongst susceptible populations.
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Affiliation(s)
- Rami Saadeh
- Department of Environmental Health, School of Public Health, Indiana University at Bloomington, Bloomington, Indiana, USA
| | - James Klaunig
- Department of Environmental Health, School of Public Health, Indiana University at Bloomington, Bloomington, Indiana, USA
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Mersha TB. Mapping asthma-associated variants in admixed populations. Front Genet 2015; 6:292. [PMID: 26483834 PMCID: PMC4586512 DOI: 10.3389/fgene.2015.00292] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Accepted: 09/03/2015] [Indexed: 12/19/2022] Open
Abstract
Admixed populations arise when two or more previously isolated populations interbreed. Mapping asthma susceptibility loci in an admixed population using admixture mapping (AM) involves screening the genome of individuals of mixed ancestry for chromosomal regions that have a higher frequency of alleles from a parental population with higher asthma risk as compared with parental population with lower asthma risk. AM takes advantage of the admixture created in populations of mixed ancestry to identify genomic regions where an association exists between genetic ancestry and asthma (in contrast to between the genotype of the marker and asthma). The theory behind AM is that chromosomal segments of affected individuals contain a significantly higher-than-average proportion of alleles from the high-risk parental population and thus are more likely to harbor disease-associated loci. Criteria to evaluate the applicability of AM as a gene mapping approach include: (1) the prevalence of the disease differences in ancestral populations from which the admixed population was formed; (2) a measurable difference in disease-causing alleles between the parental populations; (3) reduced linkage disequilibrium (LD) between unlinked loci across chromosomes and strong LD between neighboring loci; (4) a set of markers with noticeable allele-frequency differences between parental populations that contributes to the admixed population (single nucleotide polymorphisms (SNPs) are the markers of choice because they are abundant, stable, relatively cheap to genotype, and informative with regard to the LD structure of chromosomal segments); and (5) there is an understanding of the extent of segmental chromosomal admixtures and their interactions with environmental factors. Although genome-wide association studies have contributed greatly to our understanding of the genetic components of asthma, the large and increasing degree of admixture in populations across the world create many challenges for further efforts to map disease-causing genes. This review, summarizes the historical context of admixed populations and AM, and considers current opportunities to use AM to map asthma genes. In addition, we provide an overview of the potential limitations and future directions of AM in biomedical research, including joint admixture and association mapping for asthma and asthma-related disorders.
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Affiliation(s)
- Tesfaye B Mersha
- Division of Asthma Research, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati Cincinnati, OH, USA
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