1
|
Adami LNG, Moysés-Oliveira M, Souza-Cunha LA, Vasco MB, Tufik S, Andersen ML. Lipid metabolism and neuromuscular junction as common pathways underlying the genetic basis of erectile dysfunction and obstructive sleep apnea. Int J Impot Res 2024; 36:614-620. [PMID: 37990110 DOI: 10.1038/s41443-023-00795-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 10/18/2023] [Accepted: 11/06/2023] [Indexed: 11/23/2023]
Abstract
Erectile dysfunction (ED) incidence is higher in patients with obstructive sleep apnea (OSA). Studies have suggested that ED and OSA may activate similar pathways; however, few have investigated the links between their underlying genotypic profiles. Therefore, we conducted an in-silico analysis to test whether ED and OSA share genetic variants of risk and to identify any molecular, cellular and biological interactions between them. Two gene lists were manually curated through a literature review based on a PUBMED search, which resulted in one gene list associated with ED (total of 205 genes) and the other with OSA (total of 2622 genes). Between those gene sets, 35 were common for both lists (Fisher exact test, p-value = 0.027). The Protein-protein interaction (PPI) analysis using the intersect list as input showed that 3 of them had direct interactions (LPL, DGKB and PLCB1). In addition, the biological function of the genes contained in the intersect list suggested that pathways related to lipid metabolism and the neuromuscular junction were commonly found in the genetic basis of ED and OSA. From the shared genes between both conditions, the biological pathways highlighted in this study may serve as preliminary findings for future functional investigations on OSA and ED association.
Collapse
Affiliation(s)
- Luana N G Adami
- Sleep Institute, São Paulo, Brazil
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil
| | | | | | - Matheus Brandão Vasco
- Departamento de Cirurgia, Disciplina de Urologia, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Sergio Tufik
- Sleep Institute, São Paulo, Brazil
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Monica L Andersen
- Sleep Institute, São Paulo, Brazil.
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.
| |
Collapse
|
2
|
Zou X, Ptáček LJ, Fu YH. The Genetics of Human Sleep and Sleep Disorders. Annu Rev Genomics Hum Genet 2024; 25:259-285. [PMID: 38669479 DOI: 10.1146/annurev-genom-121222-120306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
Healthy sleep is vital for humans to achieve optimal health and longevity. Poor sleep and sleep disorders are strongly associated with increased morbidity and mortality. However, the importance of good sleep continues to be underrecognized. Mechanisms regulating sleep and its functions in humans remain mostly unclear even after decades of dedicated research. Advancements in gene sequencing techniques and computational methodologies have paved the way for various genetic analysis approaches, which have provided some insights into human sleep genetics. This review summarizes our current knowledge of the genetic basis underlying human sleep traits and sleep disorders. We also highlight the use of animal models to validate genetic findings from human sleep studies and discuss potential molecular mechanisms and signaling pathways involved in the regulation of human sleep.
Collapse
Affiliation(s)
- Xianlin Zou
- Department of Neurology, University of California, San Francisco, California, USA; , ,
| | - Louis J Ptáček
- Department of Neurology, University of California, San Francisco, California, USA; , ,
- Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, California, USA
- Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- Institute of Human Genetics, University of California, San Francisco, California, USA
| | - Ying-Hui Fu
- Institute of Human Genetics, University of California, San Francisco, California, USA
- Department of Neurology, University of California, San Francisco, California, USA; , ,
- Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, California, USA
- Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| |
Collapse
|
3
|
Chen X, Cheng Z, Xu J, Wang Q, Zhao Z, Jiang Q. No genetic association between sleep traits and periodontitis: A bidirectional two-sample Mendelian randomization study. Cranio 2024:1-10. [PMID: 39075864 DOI: 10.1080/08869634.2024.2384681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/31/2024]
Abstract
OBJECTIVE This study aimed to investigate the potential genetic link between sleep traits and periodontitis. METHODS A two-sample bidirectional Mendelian randomization (MR) analysis was conducted using publicly available genome-wide association studies data on chronotype, daytime sleepiness, daytime napping frequency, insomnia, sleep duration, snoring, and the apnea-hypopnea index (AHI), along with a separate dataset on periodontitis. RESULTS Chronotype (OR = 0.929, 95% CI = 0.788-1.095), daytime sleepiness (OR = 0.492, 95% CI = 0.186-1.306), daytime napping frequency (OR = 1.178, 95% CI = 0.745-1.863), sleep duration (OR = 0.868, 95% CI = 0.644-1.169), AHI (OR = 1.124, 95% CI = 0.980-1.289), insomnia (OR = 0.832, 95% CI = 0.440-1.573), and snoring (OR = 0.641, 95% CI = 0.198-2.075) had no effect on periodontitis. Similarly, periodontitis demonstrated no significant effect on sleep traits. CONCLUSIONS There is no evidence of a bidirectional genetic relationship between sleep traits and the risk of periodontitis.
Collapse
Affiliation(s)
- Xin Chen
- Department of Oral and Maxillofacial Surgery, Jiangyin People's Hospital Affiliated to Nantong University, Jiangsu, China
| | - Zheng Cheng
- Department of Oral and Maxillofacial Surgery, Jiangyin People's Hospital Affiliated to Nantong University, Jiangsu, China
| | - Junyu Xu
- Department of Oral and Maxillofacial Surgery, Jiangyin People's Hospital Affiliated to Nantong University, Jiangsu, China
| | - Qianyi Wang
- Department of Cardiology, Jiangyin People's Hospital Affiliated to Nantong University, Jiangsu, China
| | - Zhibai Zhao
- Department of Oral Mucosal Diseases, The Affiliated Stomatological Hospital of Nanjing Medical University, Jiangsu, China
| | - Qianglin Jiang
- Department of Oral and Maxillofacial Surgery, Jiangyin People's Hospital Affiliated to Nantong University, Jiangsu, China
| |
Collapse
|
4
|
Yu M, Chen X, Huang X, Gao X. Assessing the causal association between sleep apnea and the human gut microbiome composition: A two-sample Mendelian randomization study. SAGE Open Med 2024; 12:20503121241248044. [PMID: 38711464 PMCID: PMC11072075 DOI: 10.1177/20503121241248044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 04/02/2024] [Indexed: 05/08/2024] Open
Abstract
Background Studies have linked gut microbiota dysbiosis with sleep apnea; however, no causal relationship was found in human subjects. Finding new targets for the pathophysiology of sleep apnea might be made possible by systematically investigating the causal relationship between the human gut microbiota and sleep apnea. Methods A two-sample Mendelian randomization analysis was conducted. The human gut microbiome composition data, spanning five taxonomic levels, were acquired from a genome-wide association study that included 18,340 participants from 24 cohorts. Genome-wide association study data for sleep apnea were obtained from the Sleep Disorder Knowledge Portal for primary analysis and the FinnGen consortium for meta-analysis. Sensitivity analyses were conducted to evaluate heterogeneity and pleiotropy. Results Using inverse-variance weighted analysis, eight microbial taxa were initially found to be substantially linked with the apnea-hypopnea index. Only three microbial taxa remained significant associations with sleep apnea when combined with the FinnGen consortium (the class Bacilli: B = 8.21%, 95% CI = 0.93%-15.49%; p = 0.03; the order Lactobacillales: B = 7.55%, 95% CI = 0.25%-4.85%; p = 0.04; the genus RuminococcaceaeUCG009: B = -21.63%, 95% CI = -41.47% to -1.80%; p = 0.03). Conclusions Sleep apnea may lead to gut dysbiosis as significant reductions in butyrate-producing bacteria and increases in lactate-producing bacteria. By integrating genomes and metabolism, the evidence that three microbiome species are causally linked to sleep apnea may offer a fresh perspective on the underlying mechanisms of the condition.
Collapse
Affiliation(s)
- Min Yu
- Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, P.R. China
- Center for Oral Therapy of Sleep Apnea, Peking University Hospital of Stomatology, Beijing, P.R. China
- National Center of Stomatology, Beijing, P.R. China
| | - Xuehui Chen
- Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, P.R. China
- Center for Oral Therapy of Sleep Apnea, Peking University Hospital of Stomatology, Beijing, P.R. China
- National Center of Stomatology, Beijing, P.R. China
| | - Xin Huang
- Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, P.R. China
- Center for Oral Therapy of Sleep Apnea, Peking University Hospital of Stomatology, Beijing, P.R. China
- National Center of Stomatology, Beijing, P.R. China
| | - Xuemei Gao
- Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, P.R. China
- Center for Oral Therapy of Sleep Apnea, Peking University Hospital of Stomatology, Beijing, P.R. China
- National Center of Stomatology, Beijing, P.R. China
| |
Collapse
|
5
|
Odriozola A, González A, Álvarez-Herms J, Corbi F. Sleep regulation and host genetics. ADVANCES IN GENETICS 2024; 111:497-535. [PMID: 38908905 DOI: 10.1016/bs.adgen.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/24/2024]
Abstract
Due to the multifactorial and complex nature of rest, we focus on phenotypes related to sleep. Sleep regulation is a multifactorial process. In this chapter, we focus on those phenotypes inherent to sleep that are highly prevalent in the population, and that can be modulated by lifestyle, such as sleep quality and duration, insomnia, restless leg syndrome and daytime sleepiness. We, therefore, leave in the background those phenotypes that constitute infrequent pathologies or for which the current level of scientific evidence does not favour the implementation of practical approaches of this type. Similarly, the regulation of sleep quality is intimately linked to the regulation of the circadian rhythm. Although this relationship is discussed in the sections that require it, the in-depth study of circadian rhythm regulation at the molecular level deserves a separate chapter, and this is how it is dealt with in this volume.
Collapse
Affiliation(s)
- Adrián Odriozola
- Hologenomiks Research Group, Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain.
| | - Adriana González
- Hologenomiks Research Group, Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Jesús Álvarez-Herms
- Phymo® Lab, Physiology, and Molecular Laboratory, Collado Hermoso, Segovia, Spain
| | - Francesc Corbi
- Institut Nacional d'Educació Física de Catalunya (INEFC), Centre de Lleida, Universitat de Lleida (UdL), Lleida, Spain
| |
Collapse
|
6
|
Wang X, Song S, Dong N, Lv R, He Y, Zhao Y, Yue H. The causal relationship between depression and obstructive sleep apnea: A bidirectional Mendelian randomization study. J Psychosom Res 2024; 179:111620. [PMID: 38430795 DOI: 10.1016/j.jpsychores.2024.111620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 01/16/2024] [Accepted: 02/19/2024] [Indexed: 03/05/2024]
Abstract
OBJECTIVE Numerous studies have reported the close association of depression with obstructive sleep apnea (OSA). However, the causal nature and direction remain unclear. This study aimed to identify the genetic causal relationship between depression and OSA using Mendelian randomization (MR). METHODS Based on publicly available genome-wide association studies data of depression and OSA, we conducted a bidirectional two-sample MR study. The inverse-variance weighted (IVW) was used as the main analysis method. Moreover, multivariable MR was performed to further explore the underlying genetic causality of OSA and depression after adjusting for several potential mediators. RESULTS The univariable MR analysis revealed a significant causality of depression on the susceptibility of OSA (ORivw = 1.29, 95%CI:1.11,1.50; p < 0.001). This relationship was evidenced by the phenotypes for broad depression (ORivw = 3.30, 95%CI: 1.73, 6.29; p < 0.001), probable major depression (ORivw = 18.79, 95%CI: 5.69, 61.99; p < 0.001), and ICD-10 major depression (ORivw = 23.67, 95%CI: 4.13, 135.74; p < 0.001). In the reverse direction, no significant causal effect of OSA on depression was found. After adjusting for smoking, alcohol use, obesity, type 2 diabetes, insomnia, age, gender, and codeine, most of these results suggested that depression remained significantly and positively associated with OSA. CONCLUSION These findings may contribute to the understanding of the etiology of depression and OSA and also suggest the clinical significance of controlling depression for the prevention of OSA.
Collapse
Affiliation(s)
- Xiao Wang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China
| | - Shaoming Song
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China; Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese PLA General Hospital, Beijing 100000, China
| | - Na Dong
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China
| | - Renjun Lv
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China
| | - Yao He
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China
| | - Yan Zhao
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China
| | - Hongmei Yue
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China; Department of Pulmonary and Critical Care Medicine, The First Hospital of Lanzhou University, Lanzhou 730000, China.
| |
Collapse
|
7
|
Quinlan CM, Chang X, March M, Mentch FD, Qu HQ, Liu Y, Glessner J, Sleiman PMA, Hakonarson H. Identification of novel loci in obstructive sleep apnea in European American and African American children. Sleep 2024; 47:zsac182. [PMID: 35902206 DOI: 10.1093/sleep/zsac182] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 06/24/2022] [Indexed: 02/18/2024] Open
Abstract
STUDY OBJECTIVES To identify genetic susceptibility variants in pediatric obstructive sleep apnea in European American and African American children. METHODS A phenotyping algorithm using electronic medical records was developed to recruit cases with OSA and control subjects from the Center for Applied Genomics at Children's Hospital of Philadelphia (CHOP). Genome-wide association studies (GWAS) were performed in pediatric OSA cases and control subjects with European American (EA) and African American (AA) ancestry followed by meta-analysis and sex stratification. RESULTS The algorithm accrued 1486 subjects (46.3% European American, 53.7% African American). We identified genomic loci at 1p36.22 and 15q26.1 that associated with OSA risk in EA and AA, respectively. We also revealed a shared risk locus at 18p11.32 (rs114124196, p = 1.72 × 10-8) across EA and AA populations. Additionally, association at 1q43 (rs12754698) and 2p25.1 (rs72775219) was identified in the male-only analysis of EA children with OSA, while association at 8q21.11 (rs6472959), 11q24.3 (rs4370952) and 15q21.1 (rs149936782) was detected in the female-only analysis of EA children and association at 18p11.23 (rs9964029) was identified in the female-only analysis of African-American children. Moreover, the 18p11.32 locus was replicated in an EA cohort (rs114124196, p = 8.8 × 10-3). CONCLUSIONS We report the first GWAS for pediatric OSA in European Americans and African Americans. Our results provide novel insights to the genetic underpins of pediatric OSA.
Collapse
Affiliation(s)
- Courtney M Quinlan
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Xiao Chang
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Michael March
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Frank D Mentch
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Hui-Qi Qu
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Yichuan Liu
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Joseph Glessner
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Patrick M A Sleiman
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA, 19104, USA
- Divisions of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Hakon Hakonarson
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA, 19104, USA
- Divisions of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| |
Collapse
|
8
|
Paz V, Dashti HS, Burgess S, Garfield V. Selection of genetic instruments in Mendelian randomisation studies of sleep traits. Sleep Med 2023; 112:342-351. [PMID: 37956646 PMCID: PMC7615498 DOI: 10.1016/j.sleep.2023.10.036] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 10/22/2023] [Accepted: 10/30/2023] [Indexed: 11/15/2023]
Abstract
This review explores the criteria used for the selection of genetic instruments of sleep traits in the context of Mendelian randomisation studies. This work was motivated by the fact that instrument selection is the most important decision when designing a Mendelian randomisation study. As far as we are aware, no review has sought to address this to date, even though the number of these studies is growing rapidly. The review is divided into the following sections which are essential for genetic instrument selection: 1) Single-gene region vs polygenic analysis; 2) Polygenic analysis: biologically-vs statistically-driven approaches; 3) P-value; 4) Linkage disequilibrium clumping; 5) Sample overlap; 6) Type of exposure; 7) Total (R2) and average strength (F-statistic) metrics; 8) Number of single-nucleotide polymorphisms; 9) Minor allele frequency and palindromic variants; 10) Confounding. Our main aim is to discuss how instrumental choice impacts analysis and compare the strategies that Mendelian randomisation studies of sleep traits have used. We hope that our review will enable more researchers to take a more considered approach when selecting genetic instruments for sleep exposures.
Collapse
Affiliation(s)
- Valentina Paz
- Instituto de Psicología Clínica, Facultad de Psicología, Universidad de la República, Tristán Narvaja, 1674, Montevideo, 11200, Uruguay; MRC Unit for Lifelong Health & Ageing, Institute of Cardiovascular Science, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
| | - Hassan S Dashti
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, 185 Cambridge Street, Boston, MA, 02114, USA; Broad Institute, 415 Main Street, Cambridge, MA, 02142, USA; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Edwards 4-410C, Boston, MA, 02114, USA
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK; Department of Public Health and Primary Care, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK
| | - Victoria Garfield
- MRC Unit for Lifelong Health & Ageing, Institute of Cardiovascular Science, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
| |
Collapse
|
9
|
Rabec C, Sombrun C, Bentounes SA, Georges M, Bisson A, Bichat F, Bodin A, Herbert J, Zeller M, Cottin Y, Fauchier L. Outcomes in Patients with Acute Myocardial Infarction and Known Sleep Apnea: A Nationwide Analysis. J Clin Med 2023; 12:5924. [PMID: 37762864 PMCID: PMC10532263 DOI: 10.3390/jcm12185924] [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: 07/17/2023] [Revised: 09/01/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
Background. Sleep apnea (SA) is a common breathing disorder characterized by repetitive upper airway narrowing and closure. Although SA has been demonstrated to be an independent risk factor for all-cause mortality, the direct contribution of SA to worse cardiovascular prognosis may be difficult to evaluate, and its independent association with the different types of cardiovascular outcomes may be debated, particularly in the context of patients with acute myocardial infarction (AMI). The aim of this study was to assess the impact of known SA on the outcomes of hospitalized patients who have had an AMI by analyzing 10-year data collected from a national registry. Methods. This longitudinal cohort study was based on the national hospitalization database that covers hospital care for the entire French population, including all patients admitted with AMI from January 2010 to June 2019. The clinical outcomes for the analysis were as follows: all-cause death, cardiovascular death, ischemic stroke, new-onset atrial fibrillation (FA), and re-hospitalization for heart failure (HF). Results. Among the 797,212 patients who presented with an AMI (528,351 men and 268,861 women), 37,075 (4.7%) had documented SA. During follow-up (mean [SD] 1.8 [2.4] years, median [interquartile range] 0.7 [0.1-3.1] years), 163,845 deaths (of which 85,649 were cardiovascular deaths), 20,168 ischemic strokes, 58,498 new-onset AF, and 92,381 rehospitalizations due to HF were recorded. Patients with known SA had a worse prognosis in the short and medium term, but after adjusting for all covariables, SA was only independently associated with a higher risk of rehospitalization for HF and new-onset AF in men and women. Conclusion. Data from our large nationwide analysis confirm that known SA is associated with poor cardiovascular outcomes in patients who have had an AMI. However, this impact is tem-pered when the model is adjusted for age, cardiovascular risk, or other covariables. Further studies need to be conducted to assess the independent impact of SA on the prognosis of patients with AMI.
Collapse
Affiliation(s)
- Claudio Rabec
- Pneumology Department, CHU Dijon Bourgogne, 21000 Dijon, France; (C.R.); (M.G.)
| | - Chan Sombrun
- Cardiology Department, CHU Dijon Bourgogne, 21000 Dijon, France; (C.S.); (F.B.); (M.Z.)
| | - Sid Ahmed Bentounes
- Service de Cardiologie, Centre Hospitalier Universitaire Trousseau et Faculté de Médecine, EA7505, Université de Tours, 37020 Tours, France; (S.A.B.); (A.B.); (A.B.); (J.H.); (L.F.)
- Service D’information Médicale, D’épidémiologie et D’économie de la Santé, Centre Hospitalier Universitaire et Faculté de Médecine, EA7505, Université de Tours, 37020 Tours, France
| | - Marjolaine Georges
- Pneumology Department, CHU Dijon Bourgogne, 21000 Dijon, France; (C.R.); (M.G.)
| | - Arnaud Bisson
- Service de Cardiologie, Centre Hospitalier Universitaire Trousseau et Faculté de Médecine, EA7505, Université de Tours, 37020 Tours, France; (S.A.B.); (A.B.); (A.B.); (J.H.); (L.F.)
| | - Florence Bichat
- Cardiology Department, CHU Dijon Bourgogne, 21000 Dijon, France; (C.S.); (F.B.); (M.Z.)
| | - Alexandre Bodin
- Service de Cardiologie, Centre Hospitalier Universitaire Trousseau et Faculté de Médecine, EA7505, Université de Tours, 37020 Tours, France; (S.A.B.); (A.B.); (A.B.); (J.H.); (L.F.)
| | - Julien Herbert
- Service de Cardiologie, Centre Hospitalier Universitaire Trousseau et Faculté de Médecine, EA7505, Université de Tours, 37020 Tours, France; (S.A.B.); (A.B.); (A.B.); (J.H.); (L.F.)
| | - Marianne Zeller
- Cardiology Department, CHU Dijon Bourgogne, 21000 Dijon, France; (C.S.); (F.B.); (M.Z.)
- PEC2, EA 7460, UFR Sciences de Santé, Université Bourgogne Franche Comté, 21000 Dijon, France
| | - Yves Cottin
- Cardiology Department, CHU Dijon Bourgogne, 21000 Dijon, France; (C.S.); (F.B.); (M.Z.)
| | - Laurent Fauchier
- Service de Cardiologie, Centre Hospitalier Universitaire Trousseau et Faculté de Médecine, EA7505, Université de Tours, 37020 Tours, France; (S.A.B.); (A.B.); (A.B.); (J.H.); (L.F.)
- Service D’information Médicale, D’épidémiologie et D’économie de la Santé, Centre Hospitalier Universitaire et Faculté de Médecine, EA7505, Université de Tours, 37020 Tours, France
| |
Collapse
|
10
|
Chang JL, Goldberg AN, Alt JA, Alzoubaidi M, Ashbrook L, Auckley D, Ayappa I, Bakhtiar H, Barrera JE, Bartley BL, Billings ME, Boon MS, Bosschieter P, Braverman I, Brodie K, Cabrera-Muffly C, Caesar R, Cahali MB, Cai Y, Cao M, Capasso R, Caples SM, Chahine LM, Chang CP, Chang KW, Chaudhary N, Cheong CSJ, Chowdhuri S, Cistulli PA, Claman D, Collen J, Coughlin KC, Creamer J, Davis EM, Dupuy-McCauley KL, Durr ML, Dutt M, Ali ME, Elkassabany NM, Epstein LJ, Fiala JA, Freedman N, Gill K, Boyd Gillespie M, Golisch L, Gooneratne N, Gottlieb DJ, Green KK, Gulati A, Gurubhagavatula I, Hayward N, Hoff PT, Hoffmann OM, Holfinger SJ, Hsia J, Huntley C, Huoh KC, Huyett P, Inala S, Ishman SL, Jella TK, Jobanputra AM, Johnson AP, Junna MR, Kado JT, Kaffenberger TM, Kapur VK, Kezirian EJ, Khan M, Kirsch DB, Kominsky A, Kryger M, Krystal AD, Kushida CA, Kuzniar TJ, Lam DJ, Lettieri CJ, Lim DC, Lin HC, Liu SY, MacKay SG, Magalang UJ, Malhotra A, Mansukhani MP, Maurer JT, May AM, Mitchell RB, Mokhlesi B, Mullins AE, Nada EM, Naik S, Nokes B, Olson MD, Pack AI, Pang EB, Pang KP, Patil SP, Van de Perck E, Piccirillo JF, Pien GW, Piper AJ, Plawecki A, Quigg M, Ravesloot MJ, Redline S, Rotenberg BW, Ryden A, Sarmiento KF, Sbeih F, Schell AE, Schmickl CN, Schotland HM, Schwab RJ, Seo J, Shah N, Shelgikar AV, Shochat I, Soose RJ, Steele TO, Stephens E, Stepnowsky C, Strohl KP, Sutherland K, Suurna MV, Thaler E, Thapa S, Vanderveken OM, de Vries N, Weaver EM, Weir ID, Wolfe LF, Tucker Woodson B, Won CH, Xu J, Yalamanchi P, Yaremchuk K, Yeghiazarians Y, Yu JL, Zeidler M, Rosen IM. International Consensus Statement on Obstructive Sleep Apnea. Int Forum Allergy Rhinol 2023; 13:1061-1482. [PMID: 36068685 PMCID: PMC10359192 DOI: 10.1002/alr.23079] [Citation(s) in RCA: 62] [Impact Index Per Article: 62.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 08/12/2022] [Accepted: 08/18/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND Evaluation and interpretation of the literature on obstructive sleep apnea (OSA) allows for consolidation and determination of the key factors important for clinical management of the adult OSA patient. Toward this goal, an international collaborative of multidisciplinary experts in sleep apnea evaluation and treatment have produced the International Consensus statement on Obstructive Sleep Apnea (ICS:OSA). METHODS Using previously defined methodology, focal topics in OSA were assigned as literature review (LR), evidence-based review (EBR), or evidence-based review with recommendations (EBR-R) formats. Each topic incorporated the available and relevant evidence which was summarized and graded on study quality. Each topic and section underwent iterative review and the ICS:OSA was created and reviewed by all authors for consensus. RESULTS The ICS:OSA addresses OSA syndrome definitions, pathophysiology, epidemiology, risk factors for disease, screening methods, diagnostic testing types, multiple treatment modalities, and effects of OSA treatment on multiple OSA-associated comorbidities. Specific focus on outcomes with positive airway pressure (PAP) and surgical treatments were evaluated. CONCLUSION This review of the literature consolidates the available knowledge and identifies the limitations of the current evidence on OSA. This effort aims to create a resource for OSA evidence-based practice and identify future research needs. Knowledge gaps and research opportunities include improving the metrics of OSA disease, determining the optimal OSA screening paradigms, developing strategies for PAP adherence and longitudinal care, enhancing selection of PAP alternatives and surgery, understanding health risk outcomes, and translating evidence into individualized approaches to therapy.
Collapse
Affiliation(s)
- Jolie L. Chang
- University of California, San Francisco, California, USA
| | | | | | | | - Liza Ashbrook
- University of California, San Francisco, California, USA
| | | | - Indu Ayappa
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | | | | | - Maurits S. Boon
- Sidney Kimmel Medical Center at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Pien Bosschieter
- Academic Centre for Dentistry Amsterdam, Amsterdam, The Netherlands
| | - Itzhak Braverman
- Hillel Yaffe Medical Center, Hadera Technion, Faculty of Medicine, Hadera, Israel
| | - Kara Brodie
- University of California, San Francisco, California, USA
| | | | - Ray Caesar
- Stone Oak Orthodontics, San Antonio, Texas, USA
| | | | - Yi Cai
- University of California, San Francisco, California, USA
| | | | | | | | | | | | | | | | | | - Susmita Chowdhuri
- Wayne State University and John D. Dingell VA Medical Center, Detroit, Michigan, USA
| | - Peter A. Cistulli
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - David Claman
- University of California, San Francisco, California, USA
| | - Jacob Collen
- Uniformed Services University, Bethesda, Maryland, USA
| | | | | | - Eric M. Davis
- University of Virginia, Charlottesville, Virginia, USA
| | | | | | - Mohan Dutt
- University of Michigan, Ann Arbor, Michigan, USA
| | - Mazen El Ali
- University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | | | | | | | - Kirat Gill
- Stanford University, Palo Alto, California, USA
| | | | - Lea Golisch
- University Hospital Mannheim, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | | | | | | | - Arushi Gulati
- University of California, San Francisco, California, USA
| | | | | | - Paul T. Hoff
- University of Michigan, Ann Arbor, Michigan, USA
| | - Oliver M.G. Hoffmann
- University Hospital Mannheim, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | | | - Jennifer Hsia
- University of Minnesota, Minneapolis, Minnesota, USA
| | - Colin Huntley
- Sidney Kimmel Medical Center at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | | | | | - Sanjana Inala
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | | | | | | | | | | | | | | | - Meena Khan
- Ohio State University, Columbus, Ohio, USA
| | | | - Alan Kominsky
- Cleveland Clinic Head and Neck Institute, Cleveland, Ohio, USA
| | - Meir Kryger
- Yale School of Medicine, New Haven, Connecticut, USA
| | | | | | | | - Derek J. Lam
- Oregon Health and Science University, Portland, Oregon, USA
| | | | | | | | | | | | | | - Atul Malhotra
- University of California, San Diego, California, USA
| | | | - Joachim T. Maurer
- University Hospital Mannheim, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Anna M. May
- Case Western Reserve University, Cleveland, Ohio, USA
| | - Ron B. Mitchell
- University of Texas, Southwestern and Children’s Medical Center Dallas, Texas, USA
| | | | | | | | | | - Brandon Nokes
- University of California, San Diego, California, USA
| | | | - Allan I. Pack
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | | | | | | | | | | | | | | | - Mark Quigg
- University of Virginia, Charlottesville, Virginia, USA
| | | | - Susan Redline
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Armand Ryden
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, USA
| | | | - Firas Sbeih
- Cleveland Clinic Head and Neck Institute, Cleveland, Ohio, USA
| | | | | | | | | | - Jiyeon Seo
- University of California, Los Angeles, California, USA
| | - Neomi Shah
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | - Ryan J. Soose
- University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | - Erika Stephens
- University of California, San Francisco, California, USA
| | | | | | | | | | - Erica Thaler
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sritika Thapa
- Yale School of Medicine, New Haven, Connecticut, USA
| | | | - Nico de Vries
- Academic Centre for Dentistry Amsterdam, Amsterdam, The Netherlands
| | | | - Ian D. Weir
- Yale School of Medicine, New Haven, Connecticut, USA
| | | | | | | | - Josie Xu
- University of Toronto, Ontario, Canada
| | | | | | | | | | | | - Ilene M. Rosen
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| |
Collapse
|
11
|
Li J, Xin Y, Li J, Chen H, Li H. Phosphatidylethanolamine N-methyltransferase: from Functions to Diseases. Aging Dis 2023; 14:879-891. [PMID: 37191416 PMCID: PMC10187709 DOI: 10.14336/ad.2022.1025] [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: 08/02/2022] [Accepted: 10/25/2022] [Indexed: 11/18/2022] Open
Abstract
Locating on endoplasmic reticulum and mitochondria associated membrane, Phosphatidylethanolamine N-methyltransferase (PEMT), catalyzes phosphatidylethanolamine methylation to phosphatidylcholine. As the only endogenous pathway for choline biosynthesis in mammals, the dysregulation of PEMT can lead to imbalance of phospholipid metabolism. Dysregulation of phospholipid metabolism in the liver or heart can lead to deposition of toxic lipid species that adversely result in dysfunction of hepatocyte/cardiomyocyte. Studies have shown that PEMT-/- mice increased susceptibility of diet-induced fatty liver and steatohepatitis. However, knockout of PEMT protects against diet-induced atherosclerosis, diet-induced obesity, and insulin resistance. Thus, novel insights to the function of PEMT in various organs should be summarized. Here, we reviewed the structural and functional properties of PEMT, highlighting its role in the pathogenesis of obesity, liver diseases, cardiovascular diseases, and other conditions.
Collapse
Affiliation(s)
- Jiayu Li
- Department of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
| | - Yanguo Xin
- Department of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
| | - Jingye Li
- Department of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
| | - Hui Chen
- Department of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
| | - Hongwei Li
- Department of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
- Beijing Key Laboratory of Metabolic Disorder Related Cardiovascular Disease, Beijing, China.
| |
Collapse
|
12
|
Sofer T, Kurniansyah N, Murray M, Ho YL, Abner E, Esko T, Huffman JE, Cho K, Wilson PWF, Gottlieb DJ. Genome-wide association study of obstructive sleep apnoea in the Million Veteran Program uncovers genetic heterogeneity by sex. EBioMedicine 2023; 90:104536. [PMID: 36989840 PMCID: PMC10065974 DOI: 10.1016/j.ebiom.2023.104536] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 03/07/2023] [Accepted: 03/08/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) for obstructive sleep apnoea (OSA) are limited due to the underdiagnosis of OSA, leading to misclassification of OSA, which consequently reduces statistical power. We performed a GWAS of OSA in the Million Veteran Program (MVP) of the U.S. Department of Veterans Affairs (VA) healthcare system, where OSA prevalence is close to its true population prevalence. METHODS We performed GWAS of 568,576 MVP participants, stratified by biological sex and by harmonized race/ethnicity and genetic ancestry (HARE) groups of White, Black, Hispanic, and Asian individuals. We considered both BMI adjusted (BMI-adj) and unadjusted (BMI-unadj) models. We replicated associations in independent datasets, and analysed the heterogeneity of OSA genetic associations across HARE and sex groups. We finally performed a larger meta-analysis GWAS of MVP, FinnGen, and the MGB Biobank, totalling 916,696 individuals. FINDINGS MVP participants are 91% male. OSA prevalence is 21%. In MVP there were 18 and 6 genome-wide significant loci in BMI-unadj and BMI-adj analyses, respectively, corresponding to 21 association regions. Of these, 17 were not previously reported in association with OSA, and 13 replicated in FinnGen (False Discovery Rate p-value < 0.05). There were widespread significant differences in genetic effects between men and women, but less so across HARE groups. Meta-analysis of MVP, FinnGen, and MGB biobank revealed 17 additional, previously unreported, genome-wide significant regions. INTERPRETATION Sex differences in genetic associations with OSA are widespread, likely associated with multiple OSA risk factors. OSA shares genetic underpinnings with several sleep phenotypes, suggesting shared aetiology and causal pathways. FUNDING Described in acknowledgements.
Collapse
Affiliation(s)
- Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Nuzulul Kurniansyah
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Michael Murray
- Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA
| | - Erik Abner
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jennifer E Huffman
- Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA; VA Palo Alto Health Care System, Palo Alto, CA, USA; Palo Alto Veterans Institute for Research, Palo Alto, CA, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA; Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Daniel J Gottlieb
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA
| |
Collapse
|
13
|
Campos AI, Ingold N, Huang Y, Mitchell BL, Kho PF, Han X, García-Marín LM, Ong JS, Law MH, Yokoyama JS, Martin NG, Dong X, Cuellar-Partida G, MacGregor S, Aslibekyan S, Rentería ME. Discovery of genomic loci associated with sleep apnea risk through multi-trait GWAS analysis with snoring. Sleep 2023; 46:6918774. [PMID: 36525587 PMCID: PMC9995783 DOI: 10.1093/sleep/zsac308] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 11/11/2022] [Indexed: 12/23/2022] Open
Abstract
STUDY OBJECTIVES Despite its association with severe health conditions, the etiology of sleep apnea (SA) remains understudied. This study sought to identify genetic variants robustly associated with SA risk. METHODS We performed a genome-wide association study (GWAS) meta-analysis of SA across five cohorts (NTotal = 523 366), followed by a multi-trait analysis of GWAS (multi-trait analysis of genome-wide association summary statistics [MTAG]) to boost power, leveraging the high genetic correlation between SA and snoring. We then adjusted our results for the genetic effects of body mass index (BMI) using multi-trait-based conditional and joint analysis (mtCOJO) and sought replication of lead hits in a large cohort of participants from 23andMe, Inc (NTotal = 1 477 352; Ncases = 175 522). We also explored genetic correlations with other complex traits and performed a phenome-wide screen for causally associated phenotypes using the latent causal variable method. RESULTS Our SA meta-analysis identified five independent variants with evidence of association beyond genome-wide significance. After adjustment for BMI, only one genome-wide significant variant was identified. MTAG analyses uncovered 49 significant independent loci associated with SA risk. Twenty-nine variants were replicated in the 23andMe GWAS adjusting for BMI. We observed genetic correlations with several complex traits, including multisite chronic pain, diabetes, eye disorders, high blood pressure, osteoarthritis, chronic obstructive pulmonary disease, and BMI-associated conditions. CONCLUSION Our study uncovered multiple genetic loci associated with SA risk, thus increasing our understanding of the etiology of this condition and its relationship with other complex traits.
Collapse
Affiliation(s)
- Adrian I Campos
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia.,Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Nathan Ingold
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | | | - Brittany L Mitchell
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Pik-Fang Kho
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Xikun Han
- Program in Genetic Epidemiology and Statistical Genetics, Harvard University T.H. Chan School of Public Health, Boston, MA, USA
| | - Luis M García-Marín
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Jue-Sheng Ong
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | | | - Matthew H Law
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Jennifer S Yokoyama
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA.,Weill Institute of Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | | | - Xianjun Dong
- Genomics and Bioinformatics Hub, Brigham and Women's Hospital, Boston, MA, USA.,Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Stuart MacGregor
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | | | - Miguel E Rentería
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| |
Collapse
|
14
|
Sofer T. Overcoming the underdiagnosis of obstructive sleep apnea to empower genetic association analyses. Sleep 2023; 46:6912225. [PMID: 36521025 PMCID: PMC9995780 DOI: 10.1093/sleep/zsac312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Indexed: 12/23/2022] Open
Affiliation(s)
- Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| |
Collapse
|
15
|
Madrid-Valero JJ, Gregory AM. Behaviour genetics and sleep: A narrative review of the last decade of quantitative and molecular genetic research in humans. Sleep Med Rev 2023; 69:101769. [PMID: 36933344 DOI: 10.1016/j.smrv.2023.101769] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 02/21/2023] [Accepted: 02/22/2023] [Indexed: 03/05/2023]
Abstract
During the last decade quantitative and molecular genetic research on sleep has increased considerably. New behavioural genetics techniques have marked a new era for sleep research. This paper provides a summary of the most important findings from the last ten years, on the genetic and environmental influences on sleep and sleep disorders and their associations with health-related variables (including anxiety and depression) in humans. In this review we present a brief summary of the main methods in behaviour genetic research (such as twin and genome-wide association studies). We then discuss key research findings on: genetic and environmental influences on normal sleep and sleep disorders, as well as on the association between sleep and health variables (highlighting a substantial role for genes in individual differences in sleep and their associations with other variables). We end by discussing future lines of enquiry and drawing conclusions, including those focused on problems and misconceptions associated with research of this type. In this last decade our knowledge about genetic and environmental influences on sleep and its disorders has expanded. Both, twin and genome-wide association studies show that sleep and sleep disorders are substantially influenced by genetic factors and for the very first time multiple specific genetic variants have been associated with sleep traits and disorders.
Collapse
Affiliation(s)
- Juan J Madrid-Valero
- Department of Health Psychology, Faculty of Health Sciences, University of Alicante, Spain.
| | - Alice M Gregory
- Department of Psychology, Goldsmiths, University of London, London, United Kingdom
| |
Collapse
|
16
|
Lane JM, Qian J, Mignot E, Redline S, Scheer FAJL, Saxena R. Genetics of circadian rhythms and sleep in human health and disease. Nat Rev Genet 2023; 24:4-20. [PMID: 36028773 PMCID: PMC10947799 DOI: 10.1038/s41576-022-00519-z] [Citation(s) in RCA: 62] [Impact Index Per Article: 62.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2022] [Indexed: 12/13/2022]
Abstract
Circadian rhythms and sleep are fundamental biological processes integral to human health. Their disruption is associated with detrimental physiological consequences, including cognitive, metabolic, cardiovascular and immunological dysfunctions. Yet many of the molecular underpinnings of sleep regulation in health and disease have remained elusive. Given the moderate heritability of circadian and sleep traits, genetics offers an opportunity that complements insights from model organism studies to advance our fundamental molecular understanding of human circadian and sleep physiology and linked chronic disease biology. Here, we review recent discoveries of the genetics of circadian and sleep physiology and disorders with a focus on those that reveal causal contributions to complex diseases.
Collapse
Affiliation(s)
- Jacqueline M Lane
- Center for Genomic Medicine and Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Jingyi Qian
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Emmanuel Mignot
- Center for Narcolepsy, Stanford University, Palo Alto, California, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Frank A J L Scheer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
| | - Richa Saxena
- Center for Genomic Medicine and Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
| |
Collapse
|
17
|
Yu R, Liu L, Chen C, Lin ZJ, Xu JM, Fan LL. A de novo mutation (p.S1419F) of Retinoic acid induced 1 is responsible for a patient with Smith-Magenis syndrome exhibiting schizophrenia. Gene 2023; 851:147028. [DOI: 10.1016/j.gene.2022.147028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 10/16/2022] [Accepted: 10/28/2022] [Indexed: 11/08/2022]
|
18
|
Xu H, Liu F, Li Z, Li X, Liu Y, Li N, Zhang X, Gao Z, Zhang X, Liu Y, Zou J, Meng L, Liu S, Zhu H, Tang X, Wu H, Su K, Chen B, Yu D, Ye H, Chen H, Yi H, Yin S, Guan J, Shi Y. Genome-Wide Association Study of Obstructive Sleep Apnea and Objective Sleep-related Traits Identifies Novel Risk Loci in Han Chinese Individuals. Am J Respir Crit Care Med 2022; 206:1534-1545. [PMID: 35819321 DOI: 10.1164/rccm.202109-2044oc] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Rationale: Previous genetic studies of obstructive sleep apnea (OSA) have limitations in terms of precise case definition, integrated quantitative traits, and interpretation of genetic functions; thus, the heritability of OSA remains poorly explained. Objectives: To identify novel genetic variants associated with OSA and objective sleep-related traits and to explore their functional roles. Methods: A genome-wide association study was performed in 20,590 Han Chinese individuals (5,438 OSA and 15,152 control samples). Human samples and point mutation knockin mice were used for follow-up investigation of gene functions. Measurements and Main Results: Two characteristic study-wide significant loci (P < 2.63 × 10-9) for OSA were identified: the PACRG intronic variant rs6455893 on 6q26 (odds ratio [OR] = 1.62; 95% confidence interval [CI], 1.39-1.89; P = 6.98 × 10-10) and the missense variant rs3746804 (p.Pro267Leu) in the riboflavin transporter SLC52A3 on 20p13 (OR = 0.83; 95% CI, 0.79-0.88; P = 7.57 × 10-10). In addition, 18 genome-wide significant loci associated with quantitative OSA and objective sleep-related traits were identified, 5 of which exceeded the study-wide significance threshold. Rs3746804 was associated with elevated serum riboflavin concentrations, and the corresponding mutation in mice increased riboflavin concentrations, suggesting that this variant may facilitate riboflavin uptake and riboflavin-dependent physiological activity. Conclusions: We identified several novel genome-wide significant loci associated with OSA and objective sleep-related traits. Our findings provide insight into the genetic architecture of OSA and suggest that SLC52A3 might be a therapeutic target, whereas riboflavin might be a therapeutic agent.
Collapse
Affiliation(s)
- Huajun Xu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Feng Liu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Zhiqiang Li
- The Affiliated Hospital of Qingdao University & the Biomedical Sciences Institute of Qingdao University, Qingdao Branch of SJTU Bio-X Institutes, Qingdao University, Qingdao, China; and.,Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, and
| | - Xinyi Li
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Yuenan Liu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Niannian Li
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoxu Zhang
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Zhenfei Gao
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoman Zhang
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Yupu Liu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Jianyin Zou
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Lili Meng
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Suru Liu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Huaming Zhu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Xulan Tang
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Hongmin Wu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Kaiming Su
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Bin Chen
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Dongzhen Yu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Haibo Ye
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Haoyan Chen
- State Key Laboratory for Oncogenes and Related Genes, Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hongliang Yi
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Shankai Yin
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Jian Guan
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Yongyong Shi
- The Affiliated Hospital of Qingdao University & the Biomedical Sciences Institute of Qingdao University, Qingdao Branch of SJTU Bio-X Institutes, Qingdao University, Qingdao, China; and.,Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, and
| |
Collapse
|
19
|
Chun S, Akle S, Teodosiadis A, Cade BE, Wang H, Sofer T, Evans DS, Stone KL, Gharib SA, Mukherjee S, Palmer LJ, Hillman D, Rotter JI, Hanis CL, Stamatoyannopoulos JA, Redline S, Cotsapas C, Sunyaev SR. Leveraging pleiotropy to discover and interpret GWAS results for sleep-associated traits. PLoS Genet 2022; 18:e1010557. [PMID: 36574455 PMCID: PMC9829185 DOI: 10.1371/journal.pgen.1010557] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/09/2023] [Accepted: 12/06/2022] [Indexed: 12/28/2022] Open
Abstract
Genetic association studies of many heritable traits resulting from physiological testing often have modest sample sizes due to the cost and burden of the required phenotyping. This reduces statistical power and limits discovery of multiple genetic associations. We present a strategy to leverage pleiotropy between traits to both discover new loci and to provide mechanistic hypotheses of the underlying pathophysiology. Specifically, we combine a colocalization test with a locus-level test of pleiotropy. In simulations, we show that this approach is highly selective for identifying true pleiotropy driven by the same causative variant, thereby improves the chance to replicate the associations in underpowered validation cohorts and leads to higher interpretability. Here, as an exemplar, we use Obstructive Sleep Apnea (OSA), a common disorder diagnosed using overnight multi-channel physiological testing. We leverage pleiotropy with relevant cellular and cardio-metabolic phenotypes and gene expression traits to map new risk loci in an underpowered OSA GWAS. We identify several pleiotropic loci harboring suggestive associations to OSA and genome-wide significant associations to other traits, and show that their OSA association replicates in independent cohorts of diverse ancestries. By investigating pleiotropic loci, our strategy allows proposing new hypotheses about OSA pathobiology across many physiological layers. For example, we identify and replicate the pleiotropy across the plateletcrit, OSA and an eQTL of DNA primase subunit 1 (PRIM1) in immune cells. We find suggestive links between OSA, a measure of lung function (FEV1/FVC), and an eQTL of matrix metallopeptidase 15 (MMP15) in lung tissue. We also link a previously known genome-wide significant peak for OSA in the hexokinase 1 (HK1) locus to hematocrit and other red blood cell related traits. Thus, the analysis of pleiotropic associations has the potential to assemble diverse phenotypes into a chain of mechanistic hypotheses that provide insight into the pathogenesis of complex human diseases.
Collapse
Affiliation(s)
- Sung Chun
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Division of Pulmonary Medicine, Boston Children’s Hospital, Boston, Massachusetts, United States of America
- Altius Institute for Biomedical Sciences, Seattle, Washington, United States of America
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Sebastian Akle
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Altius Institute for Biomedical Sciences, Seattle, Washington, United States of America
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | | | - Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, California, United States of America
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, California, United States of America
| | - Sina A. Gharib
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington, United States of America
- Computational Medicine Core at Center for Lung Biology, University of Washington, Seattle, Washington, United States of America
| | - Sutapa Mukherjee
- Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, South Australia, Australia
- Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Lyle J. Palmer
- School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
| | - David Hillman
- Centre for Sleep Science, University of Western Australia, Perth, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Australia
| | - 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, California, United States of America
| | - Craig L. Hanis
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - John A. Stamatoyannopoulos
- Altius Institute for Biomedical Sciences, Seattle, Washington, United States of America
- Departments of Medicine and Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Chris Cotsapas
- Altius Institute for Biomedical Sciences, Seattle, Washington, United States of America
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, United States of America
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Shamil R. Sunyaev
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Altius Institute for Biomedical Sciences, Seattle, Washington, United States of America
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| |
Collapse
|
20
|
Liang J, Wang H, Cade BE, Kurniansyah N, He KY, Lee J, Sands SA, A. Brody J, Chen H, Gottlieb DJ, Evans DS, Guo X, Gharib SA, Hale L, Hillman DR, Lutsey PL, Mukherjee S, Ochs-Balcom HM, Palmer LJ, Purcell S, Saxena R, Patel SR, Stone KL, Tranah GJ, Boerwinkle E, Lin X, Liu Y, Psaty BM, Vasan RS, Manichaikul A, Rich SS, Rotter JI, Sofer T, Redline S, Zhu X. Targeted Genome Sequencing Identifies Multiple Rare Variants in Caveolin-1 Associated with Obstructive Sleep Apnea. Am J Respir Crit Care Med 2022; 206:1271-1280. [PMID: 35822943 PMCID: PMC9746833 DOI: 10.1164/rccm.202203-0618oc] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 07/06/2022] [Indexed: 01/04/2023] Open
Abstract
Rationale: Obstructive sleep apnea (OSA) is a common disorder associated with increased risk for cardiovascular disease, diabetes, and premature mortality. There is strong clinical and epidemiologic evidence supporting the importance of genetic factors influencing OSA but limited data implicating specific genes. Objectives: To search for rare variants contributing to OSA severity. Methods: Leveraging high-depth genomic sequencing data from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program and imputed genotype data from multiple population-based studies, we performed linkage analysis in the CFS (Cleveland Family Study), followed by multistage gene-based association analyses in independent cohorts for apnea-hypopnea index (AHI) in a total of 7,708 individuals of European ancestry. Measurements and Main Results: Linkage analysis in the CFS identified a suggestive linkage peak on chromosome 7q31 (LOD = 2.31). Gene-based analysis identified 21 noncoding rare variants in CAV1 (Caveolin-1) associated with lower AHI after accounting for multiple comparisons (P = 7.4 × 10-8). These noncoding variants together significantly contributed to the linkage evidence (P < 10-3). Follow-up analysis revealed significant associations between these variants and increased CAV1 expression, and increased CAV1 expression in peripheral monocytes was associated with lower AHI (P = 0.024) and higher minimum overnight oxygen saturation (P = 0.007). Conclusions: Rare variants in CAV1, a membrane-scaffolding protein essential in multiple cellular and metabolic functions, are associated with higher CAV1 gene expression and lower OSA severity, suggesting a novel target for modulating OSA severity.
Collapse
Affiliation(s)
- Jingjing Liang
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Nuzulul Kurniansyah
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Karen Y. He
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Scott A. Sands
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
| | | | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, and
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Daniel J. Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- VA Boston Healthcare System, Boston, Massachusetts
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences and
- Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Sina A. Gharib
- Computational Medicine Core, Center for Lung Biology, University of Washington Medicine Sleep Center, Department of Medicine
| | - Lauren Hale
- Family, Population, and Preventive Medicine, Program in Public Health, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York
| | - David R. Hillman
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - Pamela L. Lutsey
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Sutapa Mukherjee
- Sleep Health Service, Respiratory and Sleep Service, Southern Adelaide Local Health Network, Adelaide, South Australia, Australia
- Adelaide Institute for Sleep Health, Flinders Health and Medical Research Institute, College Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Heather M. Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York
| | - Lyle J. Palmer
- School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
| | - Shaun Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
- Center for Genomic Medicine and
- Department of Anesthesia, Pain and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Sanjay R. Patel
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Eric Boerwinkle
- Cardiovascular Health Research Unit, Department of Medicine
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Xihong Lin
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine
- Department of Epidemiology, and
- Department of Health Services and Population Health, University of Washington, Seattle, Washington
| | - Ramachandran S. Vasan
- Framingham Heart Study, Framingham, Massachusetts
- Section of Preventive Medicine and Epidemiology and
- Section of Cardiology, Department of Medicine, School of Medicine, and
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts; and
| | - Ani Manichaikul
- Center for Public Health Genomics and
- Biostatistics Section, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia
| | | | - Jerome I. Rotter
- California Pacific Medical Center Research Institute, San Francisco, California
- Institute for Translational Genomics and Population Sciences and
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - TOPMed Sleep Working Group
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
- Cardiovascular Health Research Unit, Department of Medicine
- Computational Medicine Core, Center for Lung Biology, University of Washington Medicine Sleep Center, Department of Medicine
- Department of Epidemiology, and
- Department of Health Services and Population Health, University of Washington, Seattle, Washington
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, and
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas
- VA Boston Healthcare System, Boston, Massachusetts
- California Pacific Medical Center Research Institute, San Francisco, California
- Institute for Translational Genomics and Population Sciences and
- Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California
- Family, Population, and Preventive Medicine, Program in Public Health, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
- Sleep Health Service, Respiratory and Sleep Service, Southern Adelaide Local Health Network, Adelaide, South Australia, Australia
- Adelaide Institute for Sleep Health, Flinders Health and Medical Research Institute, College Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York
- School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
- Center for Genomic Medicine and
- Department of Anesthesia, Pain and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina
- Framingham Heart Study, Framingham, Massachusetts
- Section of Preventive Medicine and Epidemiology and
- Section of Cardiology, Department of Medicine, School of Medicine, and
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts; and
- Center for Public Health Genomics and
- Biostatistics Section, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia
| |
Collapse
|
21
|
Zhang Y, Elgart M, Kurniansyah N, Spitzer BW, Wang H, Kim D, Shah N, Daviglus M, Zee PC, Cai J, Gottlieb DJ, Cade BE, Redline S, Sofer T. Genetic determinants of cardiometabolic and pulmonary phenotypes and obstructive sleep apnoea in HCHS/SOL. EBioMedicine 2022; 84:104288. [PMID: 36174398 PMCID: PMC9515437 DOI: 10.1016/j.ebiom.2022.104288] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 08/24/2022] [Accepted: 09/08/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Obstructive Sleep Apnoea (OSA) often co-occurs with cardiometabolic and pulmonary diseases. This study is to apply genetic analysis methods to explain the associations between OSA and related phenotypes. METHODS In the Hispanic Community Healthy Study/Study of Latinos, we estimated genetic correlations ρg between the respiratory event index (REI) and 54 anthropometric, glycemic, cardiometabolic, and pulmonary phenotypes. We used summary statistics from published genome-wide association studies to construct Polygenic Risk Scores (PRSs) representing the genetic basis of each correlated phenotype (ρg>0.2 and p-value<0.05), and of OSA. We studied the association of the PRSs of the correlated phenotypes with both REI and OSA (REI≥5), and the association of OSA PRS with the correlated phenotypes. Causal relationships were tested using Mendelian Randomization (MR) analysis. FINDINGS The dataset included 11,155 participants, 31.03% with OSA. 22 phenotypes were genetically correlated with REI. 10 PRSs covering obesity and fat distribution (BMI, WHR, WHRadjBMI), blood pressure (DBP, PP, MAP), glycaemic control (fasting insulin, HbA1c, HOMA-B) and insomnia were associated with REI and/or OSA. OSA PRS was associated with BMI, WHR, DBP and glycaemic traits (fasting insulin, HbA1c, HOMA-B and HOMA-IR). MR analysis identified robust causal effects of BMI and WHR on OSA, and probable causal effects of DBP, PP, and HbA1c on OSA/REI. INTERPRETATION There are shared genetic underpinnings of anthropometric, blood pressure, and glycaemic phenotypes with OSA, with evidence for causal relationships between some phenotypes. FUNDING Described in Acknowledgments.
Collapse
Affiliation(s)
- Yuan Zhang
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA,Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Michael Elgart
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Nuzulul Kurniansyah
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Brian W. Spitzer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Doyoon Kim
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Neomi Shah
- Department of Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Phyllis C. Zee
- Center for Circadian and Sleep Medicine, Department of Neurology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Daniel J. Gottlieb
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Brian E. Cade
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA,Corresponding author at: Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, 221 Longwood Avenue, Boston, MA 02115, USA.
| |
Collapse
|
22
|
Gandhi AA, Wilson TA, Sisley S, Elsea SH, Foster RH. Relationships between food-related behaviors, obesity, and medication use in individuals with Smith-Magenis syndrome. RESEARCH IN DEVELOPMENTAL DISABILITIES 2022; 127:104257. [PMID: 35597045 DOI: 10.1016/j.ridd.2022.104257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 04/01/2022] [Accepted: 04/29/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Smith-Magenis syndrome (SMS) is a complex neurodevelopmental disorder that includes obesity and food-seeking/satiety-related behaviors. AIMS This study examined associations between food-related/hyperphagic behaviors, weight, and medication use in individuals with SMS. METHODS/PROCEDURES Caregivers of individuals with SMS in the Parents and Researchers Interested in SMS (PRISMS) Patient Registry completed a demographic/medication questionnaire, the Hyperphagia Questionnaire for Clinical Trials, and the Food Related Problems Questionnaire. OUTCOMES/RESULTS Among 49 participants (Mage = 16.41 ± 12.73 years, range = 4-69 years, 55% girls/women), individuals with SMS with overweight/obesity (n = 22) had worse overall food-related problems including greater impaired satiety (p < 0.05), maladaptive eating behaviors (p < 0.05), inappropriate response (p < 0.01), and hyperphagia (p < 0.01) compared to individuals of normal/underweight (n = 27). Those taking anti-depressants/anxiolytics (n = 16) had greater maladaptive eating behaviors (p < 0.05), hyperphagic behaviors (p < 0.05), and hyperphagic severity (p < 0.05) than those not taking anti-depressants/anxiolytics (n = 33). Boys/men with SMS had greater maladaptive eating behaviors (p < 0.05), inappropriate response (p < 0.05), and hyperphagic drive (p < 0.01) than girls/women with SMS. CONCLUSIONS/IMPLICATIONS Maladaptive food-related behaviors were higher in individuals with SMS with overweight/obesity, taking anti-depressants/anxiolytics, or who were male. Medications in this population should be chosen with weight-related side effects in mind.
Collapse
Affiliation(s)
- Anusha A Gandhi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Theresa A Wilson
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Stephanie Sisley
- Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Children's Nutrition Research Center, Houston, TX 77030, USA
| | - Sarah H Elsea
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Rebecca H Foster
- Department of Psychology, St. Louis Children's Hospital, St. Louis, MO 63110, USA; Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| |
Collapse
|
23
|
Bidirectional Mendelian randomization to explore the causal relationships between Sleep traits, Parkinson's disease and Amyotrophic lateral sclerosis. Sleep Med 2022; 96:42-49. [DOI: 10.1016/j.sleep.2022.03.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 02/22/2022] [Accepted: 03/26/2022] [Indexed: 11/21/2022]
|
24
|
Somayaji R, Chalmers JD. Just breathe: a review of sex and gender in chronic lung disease. Eur Respir Rev 2022; 31:31/163/210111. [PMID: 35022256 DOI: 10.1183/16000617.0111-2021] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 08/20/2021] [Indexed: 01/08/2023] Open
Abstract
Chronic lung diseases are the third leading cause of death worldwide and are increasing in prevalence over time. Although much of our traditional understanding of health and disease is derived from study of the male of the species - be it animal or human - there is increasing evidence that sex and gender contribute to differences in disease risk, prevalence, presentation, severity, treatment approach, response and outcomes. Chronic obstructive pulmonary disease, asthma and bronchiectasis represent the most prevalent and studied chronic lung diseases and have key sex- and gender-based differences which are critical to consider and incorporate into clinical and research approaches. Mechanistic differences present opportunities for therapeutic development whereas behavioural and clinical differences on the part of patients and providers present opportunities for greater education and understanding at multiple levels. In this review, we seek to summarise the sex- and gender-based differences in key chronic lung diseases and outline the clinical and research implications for stakeholders.
Collapse
Affiliation(s)
- Ranjani Somayaji
- Dept of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada .,Dept of Microbiology, Immunology and Infectious Disease, University of Calgary, Calgary, Canada.,Dept of Community Health Sciences, University of Calgary, Calgary, Canada
| | - James D Chalmers
- Division of Molecular and Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK
| |
Collapse
|
25
|
Wang H, Kurniansyah N, Cade BE, Goodman MO, Chen H, Gottlieb DJ, Gharib SA, Purcell SM, Lin X, Saxena R, Zhu X, Durda P, Tracy R, Liu Y, Taylor KD, Johnson WC, Gabriel S, Smith JD, Aguet F, Ardlie K, Blackwell T, Reiner AP, Rotter JI, Rich SS, Redline S, Sofer T. Upregulated heme biosynthesis increases obstructive sleep apnea severity: a pathway-based Mendelian randomization study. Sci Rep 2022; 12:1472. [PMID: 35087136 PMCID: PMC8795126 DOI: 10.1038/s41598-022-05415-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 01/07/2022] [Indexed: 11/09/2022] Open
Abstract
Obstructive sleep apnea (OSA) is a common disorder associated with increased risk of cardiovascular disease and mortality. Iron and heme metabolism, implicated in ventilatory control and OSA comorbidities, was associated with OSA phenotypes in recent admixture mapping and gene enrichment analyses. However, its causal contribution was unclear. In this study, we performed pathway-level transcriptional Mendelian randomization (MR) analysis to investigate the causal relationships between iron and heme related pathways and OSA. In primary analysis, we examined the expression level of four iron/heme Reactome pathways as exposures and four OSA traits as outcomes using cross-tissue cis-eQTLs from the Genotype-Tissue Expression portal and published genome-wide summary statistics of OSA. We identify a significant putative causal association between up-regulated heme biosynthesis pathway with higher sleep time percentage of hypoxemia (p = 6.14 × 10-3). This association is supported by consistency of point estimates in one-sample MR in the Multi-Ethnic Study of Atherosclerosis using high coverage DNA and RNA sequencing data generated by the Trans-Omics for Precision Medicine project. Secondary analysis for 37 additional iron/heme Gene Ontology pathways did not reveal any significant causal associations. This study suggests a causal association between increased heme biosynthesis and OSA severity.
Collapse
Affiliation(s)
- Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave BLI 252, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
| | - Nuzulul Kurniansyah
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave BLI 252, Boston, MA, 02115, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave BLI 252, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Matthew O Goodman
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave BLI 252, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Han Chen
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, Human Genetics Center, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- School of Biomedical Informatics, Center for Precision Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Daniel J Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave BLI 252, Boston, MA, 02115, USA
- VA Boston Healthcare System, Boston, MA, USA
| | - Sina A Gharib
- Department of Medicine, Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, University of Washington, Seattle, WA, USA
| | - Shaun M Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave BLI 252, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Xihong Lin
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Statistics, Harvard University, Cambridge, MA, USA
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave BLI 252, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Massachusetts General Hospital, Center for Genomic Medicine, Harvard Medical School, Boston, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Peter Durda
- Department of Pathology and Laboratory Medicine, The Robert Larner, M.D. College of Medicine at the University of Vermont, Burlington, VT, 05446, USA
| | - Russel Tracy
- Department of Pathology and Laboratory Medicine, The Robert Larner, M.D. College of Medicine at the University of Vermont, Burlington, VT, 05446, USA
| | - Yongmei Liu
- Divisions of Cardiology and Neurology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Kent D Taylor
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Stacey Gabriel
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Joshua D Smith
- Northwest Genomic Center, University of Washington, Seattle, WA, USA
| | - François Aguet
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Kirstin Ardlie
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Tom Blackwell
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave BLI 252, Boston, MA, 02115, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave BLI 252, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| |
Collapse
|
26
|
McCaw ZR, Colthurst T, Yun T, Furlotte NA, Carroll A, Alipanahi B, McLean CY, Hormozdiari F. DeepNull models non-linear covariate effects to improve phenotypic prediction and association power. Nat Commun 2022; 13:241. [PMID: 35017556 PMCID: PMC8752755 DOI: 10.1038/s41467-021-27930-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 12/09/2021] [Indexed: 12/12/2022] Open
Abstract
Genome-wide association studies (GWASs) examine the association between genotype and phenotype while adjusting for a set of covariates. Although the covariates may have non-linear or interactive effects, due to the challenge of specifying the model, GWAS often neglect such terms. Here we introduce DeepNull, a method that identifies and adjusts for non-linear and interactive covariate effects using a deep neural network. In analyses of simulated and real data, we demonstrate that DeepNull maintains tight control of the type I error while increasing statistical power by up to 20% in the presence of non-linear and interactive effects. Moreover, in the absence of such effects, DeepNull incurs no loss of power. When applied to 10 phenotypes from the UK Biobank (n = 370K), DeepNull discovered more hits (+6%) and loci (+7%), on average, than conventional association analyses, many of which are biologically plausible or have previously been reported. Finally, DeepNull improves upon linear modeling for phenotypic prediction (+23% on average).
Collapse
|
27
|
Cade BE, Hassan SM, Dashti HS, Kiernan M, Pavlova MK, Redline S, Karlson EW. Sleep apnea phenotyping and relationship to disease in a large clinical biobank. JAMIA Open 2022; 5:ooab117. [PMID: 35156000 PMCID: PMC8826997 DOI: 10.1093/jamiaopen/ooab117] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 12/08/2021] [Accepted: 12/28/2021] [Indexed: 11/14/2022] Open
Abstract
Objective Sleep apnea is associated with a broad range of pathophysiology. While electronic health record (EHR) information has the potential for revealing relationships between sleep apnea and associated risk factors and outcomes, practical challenges hinder its use. Our objectives were to develop a sleep apnea phenotyping algorithm that improves the precision of EHR case/control information using natural language processing (NLP); identify novel associations between sleep apnea and comorbidities in a large clinical biobank; and investigate the relationship between polysomnography statistics and comorbid disease using NLP phenotyping. Materials and Methods We performed clinical chart reviews on 300 participants putatively diagnosed with sleep apnea and applied International Classification of Sleep Disorders criteria to classify true cases and noncases. We evaluated 2 NLP and diagnosis code-only methods for their abilities to maximize phenotyping precision. The lead algorithm was used to identify incident and cross-sectional associations between sleep apnea and common comorbidities using 4876 NLP-defined sleep apnea cases and 3× matched controls. Results The optimal NLP phenotyping strategy had improved model precision (≥0.943) compared to the use of one diagnosis code (≤0.733). Of the tested diseases, 170 disorders had significant incidence odds ratios (ORs) between cases and controls, 8 of which were confirmed using polysomnography (n = 4544), and 281 disorders had significant prevalence OR between sleep apnea cases versus controls, 41 of which were confirmed using polysomnography data. Discussion and Conclusion An NLP-informed algorithm can improve the accuracy of case-control sleep apnea ascertainment and thus improve the performance of phenome-wide, genetic, and other EHR analyses of a highly prevalent disorder. Sleep apnea is a common disease in which breathing partially or completely pauses during sleep, leading to less oxygen in the blood, repeated awakenings, and increased risk of developing multiple diseases. Current studies of sleep apnea often have relatively few participants due to the challenge of performing overnight sleep recordings. Electronic health record (EHR) billing code diagnoses of sleep apnea could be repurposed to increase the size of research studies, but the accuracy of the diagnoses is reduced. We developed a reusable algorithm that improves the accuracy of EHR sleep apnea diagnoses using natural language processing to extract information from clinical notes. As a proof of concept, we used the algorithm to identify hundreds of diseases that are increased among participants with sleep apnea compared to similar patients without sleep apnea. Many of these disease relationships with sleep apnea have not been previously recognized. This improved algorithm will help to accelerate future large-scale investigations of the causes and consequences of sleep apnea.
Collapse
Affiliation(s)
- Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
| | - Syed Moin Hassan
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Division of Pulmonary Disease and Critical Care Medicine, University of Vermont, Burlington, Vermont, USA
| | - Hassan S Dashti
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Melissa Kiernan
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- NeuroCare Center for Sleep, Newton, Massachusetts, USA
| | - Milena K Pavlova
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Elizabeth W Karlson
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
| |
Collapse
|
28
|
McNicholas WT. Obstructive Sleep Apnoea: Focus on Pathophysiology. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1384:31-42. [PMID: 36217077 DOI: 10.1007/978-3-031-06413-5_3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Obstructive sleep apnoea (OSA) is characterized by recurring episodes of upper airway obstruction during sleep and the fundamental abnormality reflects the inability of the upper airway dilating muscles to withstand the negative forces generated within the upper airway during inspiration. Factors that result in narrowing of the oropharynx such as abnormal craniofacial anatomy, soft tissue accumulation in the neck, and rostral fluid shift in the recumbent position increase the collapsing forces within the airway. The counteracting forces of upper airway dilating muscles, especially the genioglossus, are negatively influenced by sleep onset, inadequacy of the genioglossus responsiveness, ventilatory instability, especially post arousal, and loop gain. Recent reports indicate that multiple endotypes reflecting OSA pathophysiology are present in individual patients. A detailed understanding of the complex pathophysiology of OSA encourages the development of therapies targeted at these pathophysiological endotypes and facilitates a move towards precision medicine as a potential alternative to continuous positive airway pressure therapy in selected patients.
Collapse
Affiliation(s)
- Walter T McNicholas
- School of Medicine, University College Dublin, Department of Respiratory and Sleep Medicine, St. Vincent's Hospital Group, Dublin, Ireland.
| |
Collapse
|
29
|
Yi M, Tan Y, Pi Y, Zhou Y, Fei Q, Zhao W, Zhang Y. Variants of candidate genes associated with the risk of obstructive sleep apnea. Eur J Clin Invest 2022; 52:e13673. [PMID: 34435353 DOI: 10.1111/eci.13673] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 08/16/2021] [Accepted: 08/24/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND The researches on the associations between different candidate genes and obstructive sleep apnea (OSA) are inconsistent. Here, we performed a comprehensive qualitative and quantitative analysis to estimate the contribution of variants from candidate genes to the risk of OSA. METHODS Qualitative analysis was conducted to find the relationships for all included genes. Then, quantitative analysis of both allele models and genotype models was applied to evaluate the risk variants for OSA. Furthermore, a similar analysis was performed in different ethnic groups. RESULTS We included 152 publications containing 75 genes for qualitative analysis. Among them, we included 93 articles containing 28 variants from 16 genes for quantitative analysis. Through allele models, we found 10 risk variants for OSA (rs1801133 of MTHFR, ɛ4 of ApoE, -1438G/A of 5-HT2A, -308G/A of TNF-α, Pro1019Pro of LEPR, rs1130864 and rs2794521 of CRP, D/I of ACE, LPR and VNTR of 5-HTT) with the ORs of 1.21-2.07 in global population. We found that the variant of ɛ2 of ApoE could uniquely decrease the risk of OSA in the East Asian subgroup, while the other 6 variants, including ɛ4 in ApoE, -308G/A in TNF-α, Pro1019Pro in LEPR, D/I in ACE, LPR and VNTR in 5-HTT, could increase the risk of OSA. As for the European subpopulation, we only found that -308G/A in TNF-α could increase the risk for OSA. CONCLUSIONS Eleven variants from the candidate genes are associated with the risk of OSA, which also show ethnicity differences in East Asian and European subgroups.
Collapse
Affiliation(s)
- Minhan Yi
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China.,School of Life Sciences, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yun Tan
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China.,School of Life Sciences, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yuze Pi
- School of Life Sciences, Central South University, Changsha, China
| | - Yicen Zhou
- School of Life Sciences, Central South University, Changsha, China
| | - Quanming Fei
- Xiangya Medical School, Central South University, Changsha, China
| | - Wangcheng Zhao
- Xiangya Medical School, Central South University, Changsha, China
| | - Yuan Zhang
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| |
Collapse
|
30
|
Chen P, Li S, Zhang K, Zhao R, Cui J, Zhou W, Liu Y, Zhang L, Cheng Y. N 6-methyladenosine demethylase ALKBH5 suppresses malignancy of esophageal cancer by regulating microRNA biogenesis and RAI1 expression. Oncogene 2021; 40:5600-5612. [PMID: 34312488 DOI: 10.1038/s41388-021-01966-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 07/12/2021] [Accepted: 07/16/2021] [Indexed: 01/22/2023]
Abstract
N6-Methyladenosine (m6A) is the most prevalent epigenetic RNA modification and is vital in regulating malignancies. The roles of m6A modifiers on noncoding RNAs have not been fully investigated in esophageal cancer. By screening all m6A modifiers, ALKBH5 was the most potent member related to patient outcomes and suppressing esophageal cancer malignancy in cell and animal models. It demethylated pri-miR-194-2 and inhibited miR-194-2 biogenesis through an m6A/DGCR8-dependent manner. RAI1, previously considered as a circadian clock transcriptional regulator, was the main target of miR-194-2. It enhanced transcription of Hippo pathway upstream genes by binding to their 3'UTR and suppressed YAP/TAZ nuclear translocation. The ALKBH5/miR-194-2/RAI1 axis was also validated in clinical samples. In addition, the increased malignancy by low ALKBH5 was abolished by the YAP inhibitor verteporfin. Our findings uncover a critical role of ALKBH5 in miRNAs biogenesis and provide novel insight for developing treatment strategies in esophageal cancer.
Collapse
Affiliation(s)
- Pengxiang Chen
- Department of Radiation Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
- Laboratory of Basic Medical Sciences, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Song Li
- Department of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Ke Zhang
- Department of General Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Renchang Zhao
- Thoracic Surgery Department, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Jianfeng Cui
- Department of Urology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Wei Zhou
- Department of Radiation Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Yuchen Liu
- Department of Radiation Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Lin Zhang
- Department of Radiation Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China.
| | - Yufeng Cheng
- Department of Radiation Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China.
| |
Collapse
|
31
|
Cade BE, Lee J, Sofer T, Wang H, Zhang M, Chen H, Gharib SA, Gottlieb DJ, Guo X, Lane JM, Liang J, Lin X, Mei H, Patel SR, Purcell SM, Saxena R, Shah NA, Evans DS, Hanis CL, Hillman DR, Mukherjee S, Palmer LJ, Stone KL, Tranah GJ, Abecasis GR, Boerwinkle EA, Correa A, Cupples LA, Kaplan RC, Nickerson DA, North KE, Psaty BM, Rotter JI, Rich SS, Tracy RP, Vasan RS, Wilson JG, Zhu X, Redline S. Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program. Genome Med 2021; 13:136. [PMID: 34446064 PMCID: PMC8394596 DOI: 10.1186/s13073-021-00917-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 05/28/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing. METHODS The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We examined five complementary traits describing different aspects of sleep-disordered breathing: the apnea-hypopnea index, average oxyhemoglobin desaturation per event, average and minimum oxyhemoglobin saturation across the sleep episode, and the percentage of sleep with oxyhemoglobin saturation < 90%. We adjusted for age, sex, BMI, study, and family structure using MMSKAT and EMMAX mixed linear model approaches. Additional bioinformatics analyses were performed with MetaXcan, GIGSEA, and ReMap. RESULTS We identified a multi-ethnic set-based rare-variant association (p = 3.48 × 10-8) on chromosome X with ARMCX3. Additional rare-variant associations include ARMCX3-AS1, MRPS33, and C16orf90. Novel common-variant loci were identified in the NRG1 and SLC45A2 regions, and previously associated loci in the IL18RAP and ATP2B4 regions were associated with novel phenotypes. Transcription factor binding site enrichment identified associations with genes implicated with respiratory and craniofacial traits. Additional analyses identified significantly associated pathways. CONCLUSIONS We have identified the first gene-based rare-variant associations with objectively measured sleep-disordered breathing traits. Our results increase the understanding of the genetic architecture of sleep-disordered breathing and highlight associations in genes that modulate lung development, inflammation, respiratory rhythmogenesis, and HIF1A-mediated hypoxic response.
Collapse
Affiliation(s)
- Brian E. Cade
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA
| | - Jiwon Lee
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA
| | - Tamar Sofer
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA
| | - Heming Wang
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA
| | - Man Zhang
- grid.411024.20000 0001 2175 4264Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201 USA
| | - Han Chen
- grid.267308.80000 0000 9206 2401Human 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 ,grid.267308.80000 0000 9206 2401Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030 USA
| | - Sina A. Gharib
- grid.34477.330000000122986657Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA 98195 USA
| | - Daniel J. Gottlieb
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.410370.10000 0004 4657 1992VA Boston Healthcare System, Boston, MA 02132 USA
| | - Xiuqing Guo
- grid.239844.00000 0001 0157 6501The 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
| | - Jacqueline M. Lane
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA ,grid.32224.350000 0004 0386 9924Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114 USA
| | - Jingjing Liang
- grid.67105.350000 0001 2164 3847Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106 USA
| | - Xihong Lin
- grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115 USA
| | - Hao Mei
- grid.410721.10000 0004 1937 0407Department of Data Science, University of Mississippi Medical Center, Jackson, MS 29216 USA
| | - Sanjay R. Patel
- grid.21925.3d0000 0004 1936 9000Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213 USA
| | - Shaun M. Purcell
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA
| | - Richa Saxena
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA ,grid.32224.350000 0004 0386 9924Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114 USA
| | - Neomi A. Shah
- grid.59734.3c0000 0001 0670 2351Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Daniel S. Evans
- grid.17866.3e0000000098234542California Pacific Medical Center Research Institute, San Francisco, CA 94107 USA
| | - Craig L. Hanis
- grid.267308.80000 0000 9206 2401Human 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
| | - David R. Hillman
- grid.3521.50000 0004 0437 5942Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia 6009 Australia
| | - Sutapa Mukherjee
- Sleep Health Service, Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, South Australia Australia ,grid.1014.40000 0004 0367 2697Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia Australia
| | - Lyle J. Palmer
- grid.1010.00000 0004 1936 7304School of Public Health, University of Adelaide, Adelaide, South Australia 5000 Australia
| | - Katie L. Stone
- grid.17866.3e0000000098234542California Pacific Medical Center Research Institute, San Francisco, CA 94107 USA
| | - Gregory J. Tranah
- grid.17866.3e0000000098234542California Pacific Medical Center Research Institute, San Francisco, CA 94107 USA
| | | | - Gonçalo R. Abecasis
- grid.214458.e0000000086837370Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109 USA
| | - Eric A. Boerwinkle
- grid.267308.80000 0000 9206 2401Human 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 ,grid.39382.330000 0001 2160 926XHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030 USA
| | - Adolfo Correa
- grid.410721.10000 0004 1937 0407Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216 USA ,Jackson Heart Study, Jackson, MS 39216 USA
| | - L. Adrienne Cupples
- grid.189504.10000 0004 1936 7558Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118 USA ,grid.510954.c0000 0004 0444 3861Framingham Heart Study, Framingham, MA 01702 USA
| | - Robert C. Kaplan
- grid.251993.50000000121791997Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, 10461 USA
| | - Deborah A. Nickerson
- grid.34477.330000000122986657Department of Genome Sciences, University of Washington, Seattle, WA 98195 USA ,grid.34477.330000000122986657Northwest Genomics Center, Seattle, WA 98105 USA
| | - Kari E. North
- grid.410711.20000 0001 1034 1720Department of Epidemiology and Carolina Center of Genome Sciences, University of North Carolina, Chapel Hill, NC 27514 USA
| | - Bruce M. Psaty
- grid.34477.330000000122986657Cardiovascular Health Study, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA 98101 USA ,grid.488833.c0000 0004 0615 7519Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101 USA
| | - Jerome I. Rotter
- grid.239844.00000 0001 0157 6501The 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
| | - Stephen S. Rich
- grid.27755.320000 0000 9136 933XCenter for Public Health Genomics, University of Virginia, Charlottesville, VA 22908 USA
| | - Russell P. Tracy
- grid.59062.380000 0004 1936 7689Department of Pathology, University of Vermont, Colchester, VT 05405 USA
| | - Ramachandran S. Vasan
- grid.510954.c0000 0004 0444 3861Framingham Heart Study, Framingham, MA 01702 USA ,grid.189504.10000 0004 1936 7558Sections of Preventive Medicine and Epidemiology and Cardiology, Department of Medicine, Boston University School of Medicine, Boston, MA 02118 USA ,grid.189504.10000 0004 1936 7558Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118 USA
| | - James G. Wilson
- grid.410721.10000 0004 1937 0407Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216 USA
| | - Xiaofeng Zhu
- grid.67105.350000 0001 2164 3847Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106 USA
| | - Susan Redline
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.239395.70000 0000 9011 8547Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215 USA
| | | |
Collapse
|
32
|
Sleep Disordered Breathing and Cardiovascular Disease: JACC State-of-the-Art Review. J Am Coll Cardiol 2021; 78:608-624. [PMID: 34353537 DOI: 10.1016/j.jacc.2021.05.048] [Citation(s) in RCA: 107] [Impact Index Per Article: 35.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 05/11/2021] [Indexed: 12/23/2022]
Abstract
Sleep disordered breathing causes repetitive episodes of nocturnal hypoxemia, sympathetic nervous activation, and cortical arousal, often associated with excessive daytime sleepiness. Sleep disordered breathing is common in people with, or at risk of, cardiovascular (CV) disease including those who are obese or have hypertension, coronary disease, heart failure, or atrial fibrillation. Current therapy of obstructive sleep apnea includes weight loss (if obese), exercise, and positive airway pressure (PAP) therapy. This improves daytime sleepiness. Obstructive sleep apnea is associated with increased CV risk, but treatment with PAP in randomized trials has not been shown to improve CV outcome. Central sleep apnea (CSA) is not usually associated with daytime sleepiness in heart failure or atrial fibrillation and is a marker of increased CV risk, but PAP has been shown to be harmful in 1 randomized trial. The benefits of better phenotyping, targeting of higher-risk patients, and a more personalized approach to therapy are being explored in ongoing trials.
Collapse
|
33
|
Borker PV, Reid M, Sofer T, Butler MP, Azarbarzin A, Wang H, Wellman A, Sands SA, Redline S. Non-REM Apnea and Hypopnea Duration Varies across Population Groups and Physiologic Traits. Am J Respir Crit Care Med 2021; 203:1173-1182. [PMID: 33285084 DOI: 10.1164/rccm.202005-1808oc] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Rationale: Symptoms and morbidities associated with obstructive sleep apnea (OSA) vary across individuals and are not predicted by the apnea-hypopnea index (AHI). Respiratory event duration is a heritable trait associated with mortality that may further characterize OSA.Objectives: We evaluated how hypopnea and apnea durations in non-REM (NREM) sleep vary across demographic groups and quantified their associations with physiological traits (loop gain, arousal threshold, circulatory delay, and pharyngeal collapsibility).Methods: Data were analyzed from 1,546 participants from the Multi-Ethnic Study of Atherosclerosis with an AHI ≥5. Physiological traits were derived using a validated model fit to the polysomnographic airflow signal. Multiple linear regression models were used to evaluate associations of event duration with demographic and physiological factors.Measurements and Main Results: Participants had a mean age ± SD of 68.9 ± 9.2 years, mean NREM hypopnea duration of 21.73 ± 5.60, and mean NREM apnea duration of 23.87 ± 7.44 seconds. In adjusted analyses, shorter events were associated with younger age, female sex, higher body mass index (P < 0.01, all), and Black race (P < 0.05). Longer events were associated with Asian race (P < 0.01). Shorter event durations were associated with lower circulatory delay (2.53 ± 0.13 s, P < 0.01), lower arousal threshold (1.39 ± 0.15 s, P < 0.01), reduced collapsibility (-0.71 ± 0.16 s, P < 0.01), and higher loop gain (-0.27 ± 0.11 s, P < 0.05) per SD change. Adjustment for physiological traits attenuated age, sex, and obesity associations and eliminated racial differences in event duration.Conclusions: Average event duration varies across population groups and provides information on ventilatory features and airway collapsibility not captured by the AHI.
Collapse
Affiliation(s)
- Priya V Borker
- Department of Pulmonary, Allergy, and Critical Care Medicine and.,Center for Sleep and Cardiovascular Outcomes Research, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michelle Reid
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts
| | - Matthew P Butler
- Oregon Institute of Occupational Health Sciences and.,Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.,Division of Sleep and Circadian Disorders, Harvard Medical School, Boston, Massachusetts; and
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts
| | - Andrew Wellman
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.,Division of Sleep and Circadian Disorders, Harvard Medical School, Boston, Massachusetts; and
| | - Scott A Sands
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.,Division of Sleep and Circadian Disorders, Harvard Medical School, Boston, Massachusetts; and
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.,Division of Sleep and Circadian Disorders, Harvard Medical School, Boston, Massachusetts; and
| |
Collapse
|
34
|
Keenan BT, Webster JC, Wiemken AS, Lavi-Romer N, Nguyen T, Svenson KL, Galante RJ, Churchill GA, Pickup S, Pack AI, Schwab RJ. Heritability of fat distributions in male mice from the founder strains of the Diversity Outbred mouse population. G3-GENES GENOMES GENETICS 2021; 11:6171186. [PMID: 33720343 PMCID: PMC8104956 DOI: 10.1093/g3journal/jkab079] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 03/08/2021] [Indexed: 01/22/2023]
Abstract
Specific fat distributions are risk factors for complex diseases, including coronary heart disease and obstructive sleep apnea. To demonstrate the utility of high-diversity mouse models for elucidating genetic associations, we describe the phenotyping and heritability of fat distributions within the five classical inbred and three wild-derived founder mouse strains of the Collaborative Cross and Diversity Outbred mice. Measurements of subcutaneous and internal fat volumes in the abdomen, thorax and neck, and fat volumes in the tongue and pericardium were obtained using magnetic resonance imaging in male mice from the A/J (n = 12), C57BL/6J (n = 17), 129S1/SvlmJ (n = 12), NOD/LtJ (n = 14), NZO/HILtJ (n = 12), CAST/EiJ (n = 14), PWK/PhJ (n = 12), and WSB/EiJ (n = 15) strains. Phenotypes were compared across strains using analysis of variance and heritability estimated as the proportion of phenotypic variability attributable to strain. Heritability ranged from 44 to 91% across traits, including >70% heritability of tongue fat. A majority of heritability estimates remained significant controlling for body weight, suggesting genetic influences independent of general obesity. Principal components analysis supports genetic influences on overall obesity and specific to increased pericardial and intra-neck fat. Thus, among the founder strains of the Collaborative Cross and Diversity Outbred mice, we observed significant heritability of subcutaneous and internal fat volumes in the neck, thorax and abdomen, pericardial fat volume and tongue fat volume, consistent with genetic architecture playing an important role in explaining trait variability. Findings pave the way for studies utilizing high-diversity mouse models to identify genes affecting fat distributions and, in turn, influencing risk for associated complex disorders.
Collapse
Affiliation(s)
- Brendan T Keenan
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jeanette C Webster
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Andrew S Wiemken
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nir Lavi-Romer
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Teresa Nguyen
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Raymond J Galante
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Stephen Pickup
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Allan I Pack
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Richard J Schwab
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| |
Collapse
|
35
|
Cullell N, Cárcel-Márquez J, Gallego-Fábrega C, Muiño E, Llucià-Carol L, Lledós M, Amaut KEU, Krupinski J, Fernández-Cadenas I. Sleep/wake cycle alterations as a cause of neurodegenerative diseases: A Mendelian randomization study. Neurobiol Aging 2021; 106:320.e1-320.e12. [PMID: 34130902 DOI: 10.1016/j.neurobiolaging.2021.05.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 03/30/2021] [Accepted: 05/12/2021] [Indexed: 12/18/2022]
Abstract
Sleep and/or wake cycle alterations are common in neurodegenerative diseases (ND). Our aim was to determine whether there is a causal relationship between sleep and/or wake cycle patterns and ND (Parkinson's disease (PD) age at onset (AAO), Alzheimer's disease (AD), and amyotrophic lateral sclerosis (ALS)) using two-sample Mendelian Randomization (MR). We selected 12 sleep traits with available Genome-Wide Association Study (GWAS) to evaluate their causal relationship with the ND risk through Inverse-Variance Weighted regression as main analysis. We used as outcome the latest ND GWAS with available summary-statistics: PD-AAO (N = 17,996), AD (N = 21,235) and ALS (N = 40,136). MR results pointed to a causal effect of subjective and objective-measured morning chronotype on later PD-AAO (95%CI:0.33-1.81, p = 8.47×10-09 and 95%CI:-7.28 to -4.44, p = 5.87×10-16, respectively). Sleep efficiency was causally associated with a decreased AD risk (95%CI:-20.408 to -0.66, p = 0.04) and daytime sleepiness with an increased ALS risk (95%CI:0.15 to 1.61, p = 0.01). Our study suggests that sleep and/or wake patterns have causal relationship with ND. Given that sleep and/or wake patterns are modifiable risk factors, sleep interventions should be investigated as a potential treatment in PD-AAO, AD and ALS.
Collapse
Affiliation(s)
- Natalia Cullell
- Department of Neurology, Hospital Universitari MútuaTerrassa / Fundació Docència i Recerca MútuaTerrassa, Terrassa, Spain // Stroke Pharmacogenomics and Genetics, Biomedical Research Institute Sant Pau, Sant Pau Hospital, Barcelona, Spain // Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Jara Cárcel-Márquez
- Stroke Pharmacogenomics and Genetics, Biomedical Research Institute Sant Pau, Sant Pau Hospital, Barcelona, Spain
| | - Cristina Gallego-Fábrega
- Department of Neurology, Hospital Universitari MútuaTerrassa / Fundació Docència i Recerca MútuaTerrassa, Terrassa, Spain // Stroke Pharmacogenomics and Genetics, Biomedical Research Institute Sant Pau, Sant Pau Hospital, Barcelona, Spain
| | - Elena Muiño
- Stroke Pharmacogenomics and Genetics, Biomedical Research Institute Sant Pau, Sant Pau Hospital, Barcelona, Spain
| | - Laia Llucià-Carol
- Stroke Pharmacogenomics and Genetics, Biomedical Research Institute Sant Pau, Sant Pau Hospital, Barcelona, Spainn
| | - Miquel Lledós
- Stroke Pharmacogenomics and Genetics, Biomedical Research Institute Sant Pau, Sant Pau Hospital, Barcelona, Spain
| | | | - Jerzy Krupinski
- Department of Neurology, Hospital Universitari MútuaTerrassa / Fundació Docència i Recerca MútuaTerrassa, Terrassa, Spain // Centre for bioscience, School of HealthCare Science, Manchester Metropolitan University, Manchester, UK
| | - Israel Fernández-Cadenas
- Stroke Pharmacogenomics and Genetics, Biomedical Research Institute Sant Pau, Sant Pau Hospital, Barcelona, Spain // Department of Neurology, Hospital Universitari MútuaTerrassa / Fundació Docència i Recerca MútuaTerrassa, Terrassa, Spain.
| |
Collapse
|
36
|
Wang H, Goodman MO, Sofer T, Redline S. Cutting the fat: advances and challenges in sleep apnoea genetics. Eur Respir J 2021; 57:57/5/2004644. [PMID: 33958377 DOI: 10.1183/13993003.04644-2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 02/10/2021] [Indexed: 01/25/2023]
Affiliation(s)
- Heming Wang
- Division of Sleep and Circadian Disorders, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Matthew O Goodman
- Division of Sleep and Circadian Disorders, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| |
Collapse
|
37
|
Strausz S, Ruotsalainen S, Ollila HM, Karjalainen J, Kiiskinen T, Reeve M, Kurki M, Mars N, Havulinna AS, Luonsi E, Mansour Aly D, Ahlqvist E, Teder-Laving M, Palta P, Groop L, Mägi R, Mäkitie A, Salomaa V, Bachour A, Tuomi T, Palotie A, Palotie T, Ripatti S. Genetic analysis of obstructive sleep apnoea discovers a strong association with cardiometabolic health. Eur Respir J 2021; 57:13993003.03091-2020. [PMID: 33243845 DOI: 10.1183/13993003.03091-2020] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 11/04/2020] [Indexed: 12/20/2022]
Abstract
There is currently limited understanding of the genetic aetiology of obstructive sleep apnoea (OSA). We aimed to identify genetic loci associated with OSA risk, and to test if OSA and its comorbidities share a common genetic background.We conducted the first large-scale genome-wide association study of OSA using the FinnGen study (217 955 individuals) with 16 761 OSA patients identified using nationwide health registries.We estimated 0.08 (95% CI 0.06-0.11) heritability and identified five loci associated with OSA (p<5.0×10-8): rs4837016 near GAPVD1 (GTPase activating protein and VPS9 domains 1), rs10928560 near CXCR4 (C-X-C motif chemokine receptor type 4), rs185932673 near CAMK1D (calcium/calmodulin-dependent protein kinase ID) and rs9937053 near FTO (fat mass and obesity-associated protein; a variant previously associated with body mass index (BMI)). In a BMI-adjusted analysis, an association was observed for rs10507084 near RMST/NEDD1 (rhabdomyosarcoma 2 associated transcript/NEDD1 γ-tubulin ring complex targeting factor). We found high genetic correlations between OSA and BMI (rg=0.72 (95% CI 0.62-0.83)), and with comorbidities including hypertension, type 2 diabetes, coronary heart disease, stroke, depression, hypothyroidism, asthma and inflammatory rheumatic disease (rg>0.30). The polygenic risk score for BMI showed 1.98-fold increased OSA risk between the highest and the lowest quintile, and Mendelian randomisation supported a causal relationship between BMI and OSA.Our findings support the causal link between obesity and OSA, and the joint genetic basis between OSA and comorbidities.
Collapse
Affiliation(s)
- Satu Strausz
- Dept of Oral and Maxillofacial Diseases, Helsinki University Hospital, Helsinki, Finland.,Orthodontics, Dept of Oral and Maxillofacial Diseases, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Sanni Ruotsalainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Hanna M Ollila
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Dept of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Juha Karjalainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Depts of Medicine, Neurology and Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Tuomo Kiiskinen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Mary Reeve
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Mitja Kurki
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Depts of Medicine, Neurology and Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Nina Mars
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Aki S Havulinna
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Elina Luonsi
- Orthodontics, Dept of Oral and Maxillofacial Diseases, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Dina Mansour Aly
- Lund University Diabetes Centre, Dept of Clinical Sciences, Lund University, Malmö, Sweden.,Skåne University Hospital, Lund University, Malmö, Sweden
| | - Emma Ahlqvist
- Lund University Diabetes Centre, Dept of Clinical Sciences, Lund University, Malmö, Sweden.,Skåne University Hospital, Lund University, Malmö, Sweden
| | - Maris Teder-Laving
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Priit Palta
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Leif Groop
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Lund University Diabetes Centre, Dept of Clinical Sciences, Lund University, Malmö, Sweden.,Skåne University Hospital, Lund University, Malmö, Sweden
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Antti Mäkitie
- Dept of Otorhinolaryngology - Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | - Veikko Salomaa
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Adel Bachour
- Sleep Unit, Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland
| | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Lund University Diabetes Centre, Dept of Clinical Sciences, Lund University, Malmö, Sweden.,Skåne University Hospital, Lund University, Malmö, Sweden.,Endocrinology, Abdominal Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Medicine, University of Helsinki and Folkhälsan Research Center, Helsinki, Finland
| | | | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Depts of Medicine, Neurology and Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Tuula Palotie
- Dept of Oral and Maxillofacial Diseases, Helsinki University Hospital, Helsinki, Finland.,Orthodontics, Dept of Oral and Maxillofacial Diseases, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Dept of Public Health, University of Helsinki, Helsinki, Finland
| |
Collapse
|
38
|
Won CHJ, Reid M, Sofer T, Azarbarzin A, Purcell S, White D, Wellman A, Sands S, Redline S. Sex differences in obstructive sleep apnea phenotypes, the multi-ethnic study of atherosclerosis. Sleep 2021; 43:5613151. [PMID: 31687772 DOI: 10.1093/sleep/zsz274] [Citation(s) in RCA: 78] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 09/09/2019] [Indexed: 12/22/2022] Open
Abstract
STUDY OBJECTIVES The bases for sex disparities in obstructive sleep apnea (OSA), is poorly understood. We quantified the influences of event definitions, sleep-state, and body position on apnea-hypopnea indices (AHIs) in men and women, and evaluated sex differences in pathophysiological endotypes. METHODS Polysomnography (PSG) data were analyzed from 2057 participants from the multi-ethnic study of atherosclerosis. Alternative AHIs were compared using various desaturation and arousal criteria. Endotypes (loop gain, airway collapsibility, arousal threshold) were derived using breath-by-breath analysis of PSG signals. Regression models estimated the extent to which endotypes explained sex differences in AHI. RESULTS The sample (mean 68.5 ± 9.2 years) included 54% women. OSA (AHI4P ≥15/h, defined by events with ≥4% desaturations) was found in 41.1% men and 21.8% women. Compared to AHI4P, male/female AHI ratios decreased by 5%-10% when using 3%-desaturation and/or arousal criteria; p < 0.05. REM-OSA (REM-AHI ≥15/h) was similar in men and women regardless of event desaturation criteria. REM-AHI4P ≥15/h was observed in 57% of men and women each. In NREM, AHI4P in men was 2.49 (CI95: 2.25, 2.76) of that in women. Women demonstrated lower loop gain, less airway collapsibility, and lower arousal threshold in NREM (ps < 0.0005). Endotypes explained 30% of the relative sex differences in NREM-AHI4P. CONCLUSIONS There are significant sex differences in NREM-AHI levels and in physiological endotypes. Physiological endotypes explained a significant portion of the relative sex differences in NREM-AHI. Definitions that use 4%-desaturation criteria under-estimate AHI in women. Combining NREM and REM events obscures OSA prevalence in REM in women.
Collapse
Affiliation(s)
- Christine H J Won
- Section of Pulmonary, Critical Care, and Sleep Medicine, Yale University School of Medicine, New Haven, CT
| | - Michelle Reid
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Shaun Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA.,Stanley Center for Psychiatric Research, Broad Institute, MIT and Harvard University, Cambridge, MA
| | - David White
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Andrew Wellman
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Scott Sands
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA.,Division of Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| |
Collapse
|
39
|
Jeong HH, Chandrakantan A, Adler AC. Obstructive Sleep Apnea and Dementia-Common Gene Associations through Network-Based Identification of Common Driver Genes. Genes (Basel) 2021; 12:genes12040542. [PMID: 33918603 PMCID: PMC8069301 DOI: 10.3390/genes12040542] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 04/06/2021] [Indexed: 12/31/2022] Open
Abstract
Background: Obstructive Sleep Apnea (OSA) occurs in 7% of the adult population. The relationship between neurodegenerative diseases such as dementia and sleep disorders have long attracted clinical attention; however, no comprehensive data exists elucidating common gene expression between the two diseases. The objective of this study was to (1) demonstrate the practicability and feasibility of utilizing a systems biology approach called network-based identification of common driver genes (NICD) to identify common genomic features between two associated diseases and (2) utilize this approach to identify genes associated with both OSA and dementia. Methods: This study utilized 2 public databases (PCNet, DisGeNET) and a permutation assay in order to identify common genes between two co-morbid but mutually exclusive diseases. These genes were then linked to their mechanistic pathways through Enrichr, producing a list of genes that were common between the two different diseases. Results: 42 common genes were identified between OSA and dementia which were primarily linked to the G-coupled protein receptor (GPCR) and olfactory pathways. No single nucleotide polymorphisms (SNPs) were identified. Conclusions: This study demonstrates the viability of using publicly available databases and permutation assays along with canonical pathway linkage to identify common gene drivers as potential mechanistic targets for comorbid diseases.
Collapse
Affiliation(s)
- Hyun-Hwan Jeong
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Correspondence: (H.-H.J.); (A.C.)
| | - Arvind Chandrakantan
- Department of Anesthesiology & Pediatrics, Texas Children’s Hospital, Houston, TX 77030, USA;
- Department of Anesthesiology, Baylor College of Medicine, Houston, TX 77030, USA
- Correspondence: (H.-H.J.); (A.C.)
| | - Adam C. Adler
- Department of Anesthesiology & Pediatrics, Texas Children’s Hospital, Houston, TX 77030, USA;
- Department of Anesthesiology, Baylor College of Medicine, Houston, TX 77030, USA
| |
Collapse
|
40
|
Khoury S, Wang QP, Parisien M, Gris P, Bortsov AV, Linnstaedt SD, McLean SA, Tungate AS, Sofer T, Lee J, Louie T, Redline S, Kaunisto MA, Kalso EA, Munter HM, Nackley AG, Slade GD, Smith SB, Zaykin DV, Fillingim RB, Ohrbach R, Greenspan JD, Maixner W, Neely GG, Diatchenko L. Multi-ethnic GWAS and meta-analysis of sleep quality identify MPP6 as a novel gene that functions in sleep center neurons. Sleep 2021; 44:zsaa211. [PMID: 33034629 PMCID: PMC7953222 DOI: 10.1093/sleep/zsaa211] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 08/28/2020] [Indexed: 11/14/2022] Open
Abstract
Poor sleep quality can have harmful health consequences. Although many aspects of sleep are heritable, the understandings of genetic factors involved in its physiology remain limited. Here, we performed a genome-wide association study (GWAS) using the Pittsburgh Sleep Quality Index (PSQI) in a multi-ethnic discovery cohort (n = 2868) and found two novel genome-wide loci on chromosomes 2 and 7 associated with global sleep quality. A meta-analysis in 12 independent cohorts (100 000 individuals) replicated the association on chromosome 7 between NPY and MPP6. While NPY is an important sleep gene, we tested for an independent functional role of MPP6. Expression data showed an association of this locus with both NPY and MPP6 mRNA levels in brain tissues. Moreover, knockdown of an orthologue of MPP6 in Drosophila melanogaster sleep center neurons resulted in decreased sleep duration. With convergent evidence, we describe a new locus impacting human variability in sleep quality through known NPY and novel MPP6 sleep genes.
Collapse
Affiliation(s)
- Samar Khoury
- The Alan Edwards Centre for Research on Pain, McGill University, Montréal, QC, Canada
| | - Qiao-Ping Wang
- School of Pharmaceutical Sciences (Shenzhen), Sun Yat-Sen University, Guangzhou, China
| | - Marc Parisien
- The Alan Edwards Centre for Research on Pain, McGill University, Montréal, QC, Canada
| | - Pavel Gris
- The Alan Edwards Centre for Research on Pain, McGill University, Montréal, QC, Canada
| | - Andrey V Bortsov
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University, Durham, NC
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery and Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Samuel A McLean
- Institute for Trauma Recovery and Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Andrew S Tungate
- Institute for Trauma Recovery and Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Tamar Sofer
- Department of Medicine, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Jiwon Lee
- Department of Medicine, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Tin Louie
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Susan Redline
- Department of Medicine, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Mari Anneli Kaunisto
- Department of Diagnostics and Therapeutics, University of Helsinki, Helsinki, Finland
| | - Eija A Kalso
- Department of Diagnostics and Therapeutics, University of Helsinki, Helsinki, Finland
| | | | - Andrea G Nackley
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University, Durham, NC
| | - Gary D Slade
- School of dentistry, University of North Carolina Chapel Hill, Chapel Hill, NC
| | - Shad B Smith
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University, Durham, NC
| | - Dmitri V Zaykin
- Biostatistics and Computational Biology, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC
| | | | - Richard Ohrbach
- Department of Oral Diagnostic Services, University at Buffalo, Buffalo, NY
| | - Joel D Greenspan
- Department of Neural and Pain Sciences, Brotman Facial Pain Clinic, School of Dentistry and Center to Advance Chronic Pain Research, University of Maryland, Baltimore, MD
| | - William Maixner
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University, Durham, NC
| | - G Gregory Neely
- The Dr. John and Anne Chong Laboratory for Functional Genomics, Charles Perkins Centre and School of Life & Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Luda Diatchenko
- The Alan Edwards Centre for Research on Pain, McGill University, Montréal, QC, Canada
| |
Collapse
|
41
|
Rizzatti FG, Mazzotti DR, Mindel J, Maislin G, Keenan BT, Bittencourt L, Chen NH, Cistulli PA, McArdle N, Pack FM, Singh B, Sutherland K, Benediktsdottir B, Fietze I, Gislason T, Lim DC, Penzel T, Sanner B, Han F, Li QY, Schwab R, Tufik S, Pack AI, Magalang UJ. Defining Extreme Phenotypes of OSA Across International Sleep Centers. Chest 2020; 158:1187-1197. [PMID: 32304773 DOI: 10.1016/j.chest.2020.03.055] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 02/21/2020] [Accepted: 03/06/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Extreme phenotypes of OSA have not been systematically defined. RESEARCH QUESTION This study developed objective definitions of extreme phenotypes of OSA by using a multivariate approach. The utility of these definitions for identifying characteristics that confer predisposition toward or protection against OSA is shown in a new prospective sample. STUDY DESIGN AND METHODS In a large international sample, race-specific liability scores were calculated from a weighted logistic regression that included age, sex, and BMI. Extreme cases were defined as individuals with an apnea-hypopnea index (AHI) ≥ 30 events/hour but low likelihood of OSA based on age, sex, and BMI (liability scores > 90th percentile). Similarly, extreme controls were individuals with an AHI < 5 events/hour but high likelihood of OSA (liability scores < 10th percentile). Definitions were applied to a prospective sample from the Sleep Apnea Global Interdisciplinary Consortium, and differences in photography-based craniofacial and intraoral phenotypes were evaluated. RESULTS This study included retrospective data from 81,338 individuals. A total of 4,168 extreme cases and 1,432 extreme controls were identified by using liability scores. Extreme cases were younger (43.1 ± 14.7 years), overweight (28.6 ± 6.8 kg/m2), and predominantly female (71.1%). Extreme controls were older (53.8 ± 14.1 years), obese (34.0 ± 8.1 kg/m2), and predominantly male (65.8%). These objective definitions identified 29 extreme cases and 87 extreme controls among 1,424 Sleep Apnea Global Interdisciplinary Consortium participants with photography-based phenotyping. Comparisons suggest that a greater cervicomental angle increases risk for OSA in the absence of clinical risk factors, and smaller facial widths are protective in the presence of clinical risk factors. INTERPRETATION This objective definition can be applied in sleep centers throughout the world to consistently define OSA extreme phenotypes for future studies on genetic, anatomic, and physiologic pathways to OSA.
Collapse
Affiliation(s)
- Fabiola G Rizzatti
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil; Departamento de Medicina, Universidade Federal de São Carlos, São Paulo, Brazil
| | - Diego R Mazzotti
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jesse Mindel
- Division of Pulmonary, Critical Care, and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, OH
| | - Greg Maislin
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Brendan T Keenan
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Lia Bittencourt
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Ning-Hung Chen
- Division of Pulmonary, Critical Care Medicine and Sleep Medicine, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
| | - Peter A Cistulli
- Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Nigel McArdle
- West Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Frances M Pack
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Bhajan Singh
- West Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Kate Sutherland
- Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Bryndis Benediktsdottir
- Department of Sleep Medicine, Landspitali University Hospital, Reykjavík, Iceland; Medical Faculty, University of Iceland, Reykjavik, Iceland
| | - Ingo Fietze
- Interdisciplinary Center of Sleep Medicine, Charité University Hospital, Berlin, Germany
| | - Thorarinn Gislason
- Department of Sleep Medicine, Landspitali University Hospital, Reykjavík, Iceland; Medical Faculty, University of Iceland, Reykjavik, Iceland
| | - Diane C Lim
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Thomas Penzel
- Interdisciplinary Center of Sleep Medicine, Charité University Hospital, Berlin, Germany; Saratov State University, Saratov, Russia
| | - Bernd Sanner
- Department of Pulmonary Medicine, Agaplesion Bethesda Krankenhaus Wuppertal, Wuppertal, Germany
| | - Fang Han
- Department of Respiratory Medicine, Peking University, Beijing, China
| | - Qing Yun Li
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Richard Schwab
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sergio Tufik
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Allan I Pack
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ulysses J Magalang
- Division of Pulmonary, Critical Care, and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, OH; Neuroscience Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH.
| |
Collapse
|
42
|
Genome-wide association study reveals two novel risk alleles for incident obstructive sleep apnea in the EPISONO cohort. Sleep Med 2020; 66:24-32. [DOI: 10.1016/j.sleep.2019.08.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 08/02/2019] [Accepted: 08/07/2019] [Indexed: 01/25/2023]
|
43
|
Butler MP, Emch JT, Rueschman M, Sands SA, Shea SA, Wellman A, Redline S. Apnea-Hypopnea Event Duration Predicts Mortality in Men and Women in the Sleep Heart Health Study. Am J Respir Crit Care Med 2020; 199:903-912. [PMID: 30336691 DOI: 10.1164/rccm.201804-0758oc] [Citation(s) in RCA: 115] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
RATIONALE Obstructive sleep apnea is a risk factor for mortality, but its diagnostic metric-the apnea-hypopnea index-is a poor risk predictor. The apnea-hypopnea index does not capture the range of physiological variability within and between patients, such as degree of hypoxemia and sleep fragmentation, that reflect differences in pathophysiological contributions of airway collapsibility, chemoreceptive negative feedback loop gain, and arousal threshold. OBJECTIVES To test whether respiratory event duration, a heritable sleep apnea trait reflective of arousal threshold, predicts all-cause mortality. METHODS Mortality risk as a function of event duration was estimated by Cox proportional hazards in the Sleep Heart Health Study, a prospective community-based cohort. Gender-specific hazard ratios were also calculated. MEASUREMENTS AND MAIN RESULTS Among 5,712 participants, 1,290 deaths occurred over 11 years of follow-up. After adjusting for demographic factors (mean age, 63 yr; 52% female), apnea-hypopnea index (mean, 13.8; SD, 15.0), smoking, and prevalent cardiometabolic disease, individuals with the shortest-duration events had a significant hazard ratio for all-cause mortality of 1.31 (95% confidence interval, 1.11-1.54). This relationship was observed in both men and women and was strongest in those with moderate sleep apnea (hazard ratio, 1.59; 95% confidence interval, 1.11-2.28). CONCLUSIONS Short respiratory event duration, a marker for low arousal threshold, predicts mortality in men and women. Individuals with shorter respiratory events may be predisposed to increased ventilatory instability and/or have augmented autonomic nervous system responses that increase the likelihood of adverse health outcomes, underscoring the importance of assessing physiological variation in obstructive sleep apnea.
Collapse
Affiliation(s)
- Matthew P Butler
- 1 Oregon Institute of Occupational Health Sciences.,2 Department of Behavioral Neuroscience
| | - Jeffery T Emch
- 3 Department of Medical Informatics and Clinical Epidemiology, and
| | - Michael Rueschman
- 4 Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts
| | - Scott A Sands
- 4 Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.,5 Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts; and
| | - Steven A Shea
- 1 Oregon Institute of Occupational Health Sciences.,6 OHSU-PSU School of Public Health, Oregon Health & Science University, Portland, Oregon.,4 Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts
| | - Andrew Wellman
- 4 Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.,5 Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts; and
| | - Susan Redline
- 4 Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.,5 Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts; and.,7 Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
44
|
Trickett J, Oliver C, Heald M, Denyer H, Surtees A, Clarkson E, Gringras P, Richards C. Sleep in children with Smith–Magenis syndrome: a case–control actigraphy study. Sleep 2019; 43:5601233. [DOI: 10.1093/sleep/zsz260] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Revised: 09/18/2019] [Indexed: 11/15/2022] Open
Abstract
Abstract
Study Objectives
The objectives of the study were (1) to compare both actigraphy and questionnaire-assessed sleep quality and timing in children with Smith–Magenis syndrome (SMS) to a chronologically age-matched typically developing (TD) group and (2) to explore associations between age, nocturnal and diurnal sleep quality, and daytime behavior.
Methods
Seven nights of actigraphy data were collected from 20 children with SMS (mean age 8.70; SD 2.70) and 20 TD children. Daily parent/teacher ratings of behavior and sleepiness were obtained. Mixed linear modeling was used to explore associations between total sleep time and daytime naps and behavior.
Results
Sleep in children with SMS was characterized by shorter total sleep time (TST), extended night waking, shorter sleep onset, more daytime naps, and earlier morning waking compared to the TD group. Considerable inter-daily and inter-individual variability in sleep quality was found in the SMS group, so caution in generalizing results is required. An expected inverse association between age and TST was found in the TD group, but no significant association was found for the SMS group. No between-group differences in sleep hygiene practices were identified. A bidirectional negative association between TST and nap duration was found for the SMS group. In the SMS group, increased afternoon sleepiness was associated with increased irritability (p = .007) and overactivity (p = .005).
Conclusion
These findings evidence poor sleep quality in SMS and the need to implement evidence-based interventions in this population.
Collapse
Affiliation(s)
- Jayne Trickett
- Cerebra Centre for Neurodevelopmental Disorders, School of Psychology, University of Birmingham, Birmingham
- Department of Health Sciences, College of Life Sciences, University of Leicester, Leicester
| | - Chris Oliver
- Cerebra Centre for Neurodevelopmental Disorders, School of Psychology, University of Birmingham, Birmingham
| | - Mary Heald
- Cerebra Centre for Neurodevelopmental Disorders, School of Psychology, University of Birmingham, Birmingham
- Forward Thinking Birmingham, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham
| | - Hayley Denyer
- Cerebra Centre for Neurodevelopmental Disorders, School of Psychology, University of Birmingham, Birmingham
- Great Ormond Street Institute of Child Health, University College London, London
| | - Andrew Surtees
- Cerebra Centre for Neurodevelopmental Disorders, School of Psychology, University of Birmingham, Birmingham
- Forward Thinking Birmingham, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham
| | | | - Paul Gringras
- Evelina London Children’s Sleep Department, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | - Caroline Richards
- Cerebra Centre for Neurodevelopmental Disorders, School of Psychology, University of Birmingham, Birmingham
| |
Collapse
|
45
|
Edwards BA, Redline S, Sands SA, Owens RL. More Than the Sum of the Respiratory Events: Personalized Medicine Approaches for Obstructive Sleep Apnea. Am J Respir Crit Care Med 2019; 200:691-703. [PMID: 31022356 PMCID: PMC6775874 DOI: 10.1164/rccm.201901-0014tr] [Citation(s) in RCA: 95] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 04/22/2019] [Indexed: 11/16/2022] Open
Abstract
Traditionally, the presence and severity of obstructive sleep apnea (OSA) have been defined by the apnea-hypopnea index (AHI). Continuous positive airway pressure is generally first-line therapy despite low adherence, because it reliably reduces the AHI when used, and the response to other therapies is variable. However, there is growing appreciation that the underlying etiology (i.e., endotype) and clinical manifestation (i.e., phenotype) of OSA in an individual are not well described by the AHI. We define and review the important progress made in understanding and measuring physiological mechanisms (or endotypes) that help define subtypes of OSA and identify the potential use of genetics to further refine disease classification. This more detailed understanding of OSA pathogenesis should influence clinical treatment decisions as well as help inform research priorities and clinical study design. In short, treatments could be individualized on the basis of the underlying cause of OSA; patients could better understand which symptoms and outcomes will respond to OSA treatment and by how much; and researchers could select populations most likely to benefit from specific treatment approaches for OSA.
Collapse
Affiliation(s)
- Bradley A. Edwards
- Sleep and Circadian Medicine Laboratory, Department of Physiology, and
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
- Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts; and
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts; and
| | - Scott A. Sands
- Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts; and
| | - Robert L. Owens
- Division of Pulmonary, Critical Care and Sleep Medicine, University of California, San Diego, La Jolla, California
| |
Collapse
|
46
|
Han MK, Arteaga-Solis E, Blenis J, Bourjeily G, Clegg DJ, DeMeo D, Duffy J, Gaston B, Heller NM, Hemnes A, Henske EP, Jain R, Lahm T, Lancaster LH, Lee J, Legato MJ, McKee S, Mehra R, Morris A, Prakash YS, Stampfli MR, Gopal-Srivastava R, Laposky AD, Punturieri A, Reineck L, Tigno X, Clayton J. Female Sex and Gender in Lung/Sleep Health and Disease. Increased Understanding of Basic Biological, Pathophysiological, and Behavioral Mechanisms Leading to Better Health for Female Patients with Lung Disease. Am J Respir Crit Care Med 2019; 198:850-858. [PMID: 29746147 DOI: 10.1164/rccm.201801-0168ws] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Female sex/gender is an undercharacterized variable in studies related to lung development and disease. Notwithstanding, many aspects of lung and sleep biology and pathobiology are impacted by female sex and female reproductive transitions. These may manifest as differential gene expression or peculiar organ development. Some conditions are more prevalent in women, such as asthma and insomnia, or, in the case of lymphangioleiomyomatosis, are seen almost exclusively in women. In other diseases, presentation differs, such as the higher frequency of exacerbations experienced by women with chronic obstructive pulmonary disease or greater cardiac morbidity among women with sleep-disordered breathing. Recent advances in -omics and behavioral science provide an opportunity to specifically address sex-based differences and explore research needs and opportunities that will elucidate biochemical pathways, thus enabling more targeted/personalized therapies. To explore the status of and opportunities for research in this area, the NHLBI, in partnership with the NIH Office of Research on Women's Health and the Office of Rare Diseases Research, convened a workshop of investigators in Bethesda, Maryland on September 18 and 19, 2017. At the workshop, the participants reviewed the current understanding of the biological, behavioral, and clinical implications of female sex and gender on lung and sleep health and disease, and formulated recommendations that address research gaps, with a view to achieving better health outcomes through more precise management of female patients with nonneoplastic lung disease. This report summarizes those discussions.
Collapse
Affiliation(s)
- MeiLan K Han
- 1 Division of Pulmonary and Critical Care, University of Michigan, Ann Arbor, Michigan
| | - Emilio Arteaga-Solis
- 2 Division of Pediatric Pulmonology, Columbia University Medical Center, New York, New York
| | - John Blenis
- 3 Pharmacology Ph.D. Program, Sandra and Edward Meyer Cancer Center, New York, New York
| | - Ghada Bourjeily
- 4 Department of Medicine, Brown University, Providence, Rhode Island
| | - Deborah J Clegg
- 5 Department of Medicine, University of California Los Angeles, Los Angeles, California
| | - Dawn DeMeo
- 6 Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Jeanne Duffy
- 7 Department of Medicine and.,8 Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Ben Gaston
- 9 Pediatric Pulmonology, Case Western Reserve University, Cleveland, Ohio
| | - Nicola M Heller
- 10 Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Anna Hemnes
- 11 Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Elizabeth Petri Henske
- 12 Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, Massachusetts
| | - Raksha Jain
- 13 Division of Pulmonary and Critical Care, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Tim Lahm
- 14 Division of Pulmonary, Critical Care, Sleep, and Occupational Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Lisa H Lancaster
- 15 Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Joyce Lee
- 16 Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Denver, Colorado
| | | | - Sherry McKee
- 18 Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Reena Mehra
- 19 Neurologic Institute, Cleveland Clinic, Cleveland, Ohio
| | - Alison Morris
- 20 Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Y S Prakash
- 21 Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota
| | - Martin R Stampfli
- 22 Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Rashmi Gopal-Srivastava
- 23 Office of Rare Diseases Research, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland
| | - Aaron D Laposky
- 24 Division of Lung Diseases, NHLBI/NIH, Bethesda, Maryland; and
| | | | - Lora Reineck
- 24 Division of Lung Diseases, NHLBI/NIH, Bethesda, Maryland; and
| | - Xenia Tigno
- 24 Division of Lung Diseases, NHLBI/NIH, Bethesda, Maryland; and
| | - Janine Clayton
- 25 Office of Research on Women's Health, NIH-Office of the Director, Bethesda, Maryland
| |
Collapse
|
47
|
Wang H, Lane JM, Jones SE, Dashti HS, Ollila HM, Wood AR, van Hees VT, Brumpton B, Winsvold BS, Kantojärvi K, Palviainen T, Cade BE, Sofer T, Song Y, Patel K, Anderson SG, Bechtold DA, Bowden J, Emsley R, Kyle SD, Little MA, Loudon AS, Scheer FAJL, Purcell SM, Richmond RC, Spiegelhalder K, Tyrrell J, Zhu X, Hublin C, Kaprio JA, Kristiansson K, Sulkava S, Paunio T, Hveem K, Nielsen JB, Willer CJ, Zwart JA, Strand LB, Frayling TM, Ray D, Lawlor DA, Rutter MK, Weedon MN, Redline S, Saxena R. Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes. Nat Commun 2019; 10:3503. [PMID: 31409809 PMCID: PMC6692391 DOI: 10.1038/s41467-019-11456-7] [Citation(s) in RCA: 110] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 06/27/2019] [Indexed: 01/12/2023] Open
Abstract
Excessive daytime sleepiness (EDS) affects 10-20% of the population and is associated with substantial functional deficits. Here, we identify 42 loci for self-reported daytime sleepiness in GWAS of 452,071 individuals from the UK Biobank, with enrichment for genes expressed in brain tissues and in neuronal transmission pathways. We confirm the aggregate effect of a genetic risk score of 42 SNPs on daytime sleepiness in independent Scandinavian cohorts and on other sleep disorders (restless legs syndrome, insomnia) and sleep traits (duration, chronotype, accelerometer-derived sleep efficiency and daytime naps or inactivity). However, individual daytime sleepiness signals vary in their associations with objective short vs long sleep, and with markers of sleep continuity. The 42 sleepiness variants primarily cluster into two predominant composite biological subtypes - sleep propensity and sleep fragmentation. Shared genetic links are also seen with obesity, coronary heart disease, psychiatric diseases, cognitive traits and reproductive ageing.
Collapse
Affiliation(s)
- Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Jacqueline M Lane
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Samuel E Jones
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, United Kingdom
| | - Hassan S Dashti
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Hanna M Ollila
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Andrew R Wood
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, United Kingdom
| | | | - Ben Brumpton
- K.G. Jebsen Centre for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Department of Thoracic and Occupational Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Bendik S Winsvold
- K.G. Jebsen Centre for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Division of Clinical Neuroscience, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Katri Kantojärvi
- Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Teemu Palviainen
- Institute for Molecular Medicine FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Yanwei Song
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Northeastern University College of Science, Boston, MA, USA
| | - Krunal Patel
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Northeastern University College of Science, Boston, MA, USA
| | - Simon G Anderson
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- The George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, University of the West Indies, Cave Hill, Barbados
| | - David A Bechtold
- Division of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Jack Bowden
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Richard Emsley
- Division of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Simon D Kyle
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Max A Little
- Department of Mathematics, Aston University, Birmingham, UK
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Andrew S Loudon
- Division of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Frank A J L Scheer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Shaun M Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Kai Spiegelhalder
- Clinic for Psychiatry and Psychotherapy, Medical Centre, University of Freiburg, Freiburg, Germany
| | - Jessica Tyrrell
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, United Kingdom
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Christer Hublin
- Institute for Molecular Medicine FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Jaakko A Kaprio
- Institute for Molecular Medicine FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Kati Kristiansson
- Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Sonja Sulkava
- Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Tiina Paunio
- Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Kristian Hveem
- K.G. Jebsen Centre for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Jonas B Nielsen
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI, USA
| | - Cristen J Willer
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI, USA
| | - John-Anker Zwart
- Division of Clinical Neuroscience, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Linn B Strand
- K.G. Jebsen Centre for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, United Kingdom
| | - David Ray
- NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, OX39DU, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Martin K Rutter
- Division of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Manchester Diabetes Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Michael N Weedon
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, United Kingdom
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
48
|
Barfield R, Wang H, Liu Y, Brody JA, Swenson B, Li R, Bartz TM, Sotoodehnia N, Chen YDI, Cade BE, Chen H, Patel SR, Zhu X, Gharib SA, Johnson WC, Rotter JI, Saxena R, Purcell S, Lin X, Redline S, Sofer T. Epigenome-wide association analysis of daytime sleepiness in the Multi-Ethnic Study of Atherosclerosis reveals African-American-specific associations. Sleep 2019; 42:zsz101. [PMID: 31139831 PMCID: PMC6685317 DOI: 10.1093/sleep/zsz101] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Revised: 03/27/2019] [Indexed: 02/07/2023] Open
Abstract
STUDY OBJECTIVES Daytime sleepiness is a consequence of inadequate sleep, sleep-wake control disorder, or other medical conditions. Population variability in prevalence of daytime sleepiness is likely due to genetic and biological factors as well as social and environmental influences. DNA methylation (DNAm) potentially influences multiple health outcomes. Here, we explored the association between DNAm and daytime sleepiness quantified by the Epworth Sleepiness Scale (ESS). METHODS We performed multi-ethnic and ethnic-specific epigenome-wide association studies for DNAm and ESS in the Multi-Ethnic Study of Atherosclerosis (MESA; n = 619) and the Cardiovascular Health Study (n = 483), with cross-study replication and meta-analysis. Genetic variants near ESS-associated DNAm were analyzed for methylation quantitative trait loci and followed with replication of genotype-sleepiness associations in the UK Biobank. RESULTS In MESA only, we detected four DNAm-ESS associations: one across all race/ethnic groups; three in African-Americans (AA) only. Two of the MESA AA associations, in genes KCTD5 and RXRA, nominally replicated in CHS (p-value < 0.05). In the AA meta-analysis, we detected 14 DNAm-ESS associations (FDR q-value < 0.05, top association p-value = 4.26 × 10-8). Three DNAm sites mapped to genes (CPLX3, GFAP, and C7orf50) with biological relevance. We also found evidence for associations with DNAm sites in RAI1, a gene associated with sleep and circadian phenotypes. UK Biobank follow-up analyses detected SNPs in RAI1, RXRA, and CPLX3 with nominal sleepiness associations. CONCLUSIONS We identified methylation sites in multiple genes possibly implicated in daytime sleepiness. Most significant DNAm-ESS associations were specific to AA. Future work is needed to identify mechanisms driving ancestry-specific methylation effects.
Collapse
Affiliation(s)
- Richard Barfield
- Department of Epidemiology, University of Washington, Seattle, WA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Heming Wang
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Brenton Swenson
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Institute for Public Health Genetics, University of Washington, Seattle, WA
| | - Ruitong Li
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Institute for Public Health Genetics, University of Washington, Seattle, WA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Yii-der I Chen
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Brian E Cade
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Han Chen
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
- 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
- Center for Precision Health, School of Public Health & School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX
| | - Sanjay R Patel
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, University of Washington Medicine Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, WA
| | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Richa Saxena
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA
| | - Shaun Purcell
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Department of Psychiatry, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA
| | - Xihong Lin
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Statistics, Harvard University, Cambridge, MA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| |
Collapse
|
49
|
Kaplan K, McCool C, Lupski JR, Glaze D, Potocki L. Objective measures of sleep disturbances in children with Potocki-Lupski syndrome. Am J Med Genet A 2019; 179:1982-1986. [PMID: 31342617 DOI: 10.1002/ajmg.a.61307] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 07/05/2019] [Accepted: 07/10/2019] [Indexed: 11/06/2022]
Abstract
Potocki-Lupski syndrome (PTLS; MIM 610883) is a neurodevelopmental disorder caused by a microduplication, a 3.7 Mb copy number variant, mapping within chromosome 17p11.2, encompassing the dosage-sensitive RAI1 gene. Whereas RAI1 triplosensitivity causes PTLS, haploinsufficiency of RAI1 due to 17p11.2 microdeletion causes the clinically distinct Smith-Magenis syndrome (SMS; MIM 182290). Most individuals with SMS have an inversion of the melatonin cycle. Subjects with PTLS have mild sleep disturbances such as sleep apnea with no melatonin abnormalities described. Sleep patterns and potential disturbances in subjects with PTLS have not been objectively characterized. We delineated sleep characteristics in 23 subjects with PTLS who underwent a polysomnogram at Texas Children's Hospital. Eleven of these subjects (58%) completed the Child's Sleep Habits Questionnaire (CSHQ). Urinary melatonin was measured in one patient and published previously. While the circadian rhythm of melatonin in PTLS appears not to be disrupted, we identified significant differences in sleep efficiency, percentage of rapid eye movement sleep, oxygen nadir, obstructive apnea hypopnea index, and periodic limb movements between prepubertal subjects with PTLS and previously published normative data. Data from the CSHQ indicate that 64% (7/11) of parents do not identify a sleep disturbance in their children. Our data indicate that younger individuals, <10 years, with PTLS have statistically significant abnormalities in five components of sleep despite lack of recognition of substantial sleep disturbances by parents. Our data support the contention that patients with PTLS should undergo clinical evaluations for sleep disordered breathing and periodic limb movement disorder, both of which are treatable conditions.
Collapse
Affiliation(s)
- Kevin Kaplan
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas.,Children's Sleep Center, Baylor College of Medicine, Houston, Texas.,Department of Pulmonary, Baylor College of Medicine, Houston, Texas.,Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | - Caroline McCool
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - James R Lupski
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas.,Texas Children's Hospital, Baylor College of Medicine, Houston, Texas.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Daniel Glaze
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas.,Children's Sleep Center, Baylor College of Medicine, Houston, Texas.,Texas Children's Hospital, Baylor College of Medicine, Houston, Texas.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas.,Department of Neurology, Baylor College of Medicine, Houston, Texas
| | - Lorraine Potocki
- Texas Children's Hospital, Baylor College of Medicine, Houston, Texas.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| |
Collapse
|
50
|
Wang H, Cade BE, Sofer T, Sands SA, Chen H, Browning SR, Stilp AM, Louie TL, Thornton TA, Johnson WC, Below JE, Conomos MP, Evans DS, Gharib SA, Guo X, Wood AC, Mei H, Yaffe K, Loredo JS, Ramos AR, Barrett-Connor E, Ancoli-Israel S, Zee PC, Arens R, Shah NA, Taylor KD, Tranah GJ, Stone KL, Hanis CL, Wilson JG, Gottlieb DJ, Patel SR, Rice K, Post WS, Rotter JI, Sunyaev SR, Cai J, Lin X, Purcell SM, Laurie CC, Saxena R, Redline S, Zhu X. Admixture mapping identifies novel loci for obstructive sleep apnea in Hispanic/Latino Americans. Hum Mol Genet 2019; 28:675-687. [PMID: 30403821 DOI: 10.1093/hmg/ddy387] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 11/05/2018] [Indexed: 01/11/2023] Open
Abstract
Obstructive sleep apnea (OSA) is a common disorder associated with increased risk of cardiovascular disease and mortality. Its prevalence and severity vary across ancestral background. Although OSA traits are heritable, few genetic associations have been identified. To identify genetic regions associated with OSA and improve statistical power, we applied admixture mapping on three primary OSA traits [the apnea hypopnea index (AHI), overnight average oxyhemoglobin saturation (SaO2) and percentage time SaO2 < 90%] and a secondary trait (respiratory event duration) in a Hispanic/Latino American population study of 11 575 individuals with significant variation in ancestral background. Linear mixed models were performed using previously inferred African, European and Amerindian local genetic ancestry markers. Global African ancestry was associated with a lower AHI, higher SaO2 and shorter event duration. Admixture mapping analysis of the primary OSA traits identified local African ancestry at the chromosomal region 2q37 as genome-wide significantly associated with AHI (P < 5.7 × 10-5), and European and Amerindian ancestries at 18q21 suggestively associated with both AHI and percentage time SaO2 < 90% (P < 10-3). Follow-up joint ancestry-SNP association analyses identified novel variants in ferrochelatase (FECH), significantly associated with AHI and percentage time SaO2 < 90% after adjusting for multiple tests (P < 8 × 10-6). These signals contributed to the admixture mapping associations and were replicated in independent cohorts. In this first admixture mapping study of OSA, novel associations with variants in the iron/heme metabolism pathway suggest a role for iron in influencing respiratory traits underlying OSA.
Collapse
Affiliation(s)
- Heming Wang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.,Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA 02142, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA 02142, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Scott A Sands
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.,Center for Precision Health, School of Public Health & School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Sharon R Browning
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Adrienne M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Tin L Louie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jennifer E Below
- Vanderbilt Genetics Institute, Department of Medical Genetics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Matthew P Conomos
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA
| | - Hao Mei
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Kristine Yaffe
- Departments of Psychiatry and Neurology, University of California, San Francisco, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Jose S Loredo
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, UC San Diego School of Medicine, La Jolla, CA, USA
| | - Alberto R Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Sonia Ancoli-Israel
- Departments of Medicine and Psychiatry, University of California, San Diego, CA, USA.,Department of Veterans Affairs, San Diego Center of Excellence for Stress and Mental Health, San Diego, CA, USA
| | - Phyllis C Zee
- Department of Neurology and Sleep Medicine Center, Northwestern University, Chicago, IL, USA
| | - Raanan Arens
- The Children's Hospital at Montefiore, Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Neomi A Shah
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Katie L Stone
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Craig L Hanis
- 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, USA
| | - James G Wilson
- Physiology and Biophysics, University of Mississippi, Jackson, MS, USA
| | - Daniel J Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,VA Boston Healthcare System, Boston, MA, USA
| | - Sanjay R Patel
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Wendy S Post
- Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Shamil R Sunyaev
- Broad Institute, Cambridge, MA 02142, USA.,Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA.,Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shaun M Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Broad Institute, Cambridge, MA 02142, USA.,Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA 02142, USA.,Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| |
Collapse
|