1
|
Delgado D, Gillard M, Tong L, Demanelis K, Oliva M, Gleason KJ, Chernoff M, Chen L, Paner GP, Vander Griend D, Pierce BL. The Impact of Inherited Genetic Variation on DNA Methylation in Prostate Cancer and Benign Tissues of African American and European American Men. Cancer Epidemiol Biomarkers Prev 2024; 33:557-566. [PMID: 38294689 PMCID: PMC10990789 DOI: 10.1158/1055-9965.epi-23-0849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/29/2023] [Accepted: 01/29/2024] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND American men of African ancestry (AA) have higher prostate cancer incidence and mortality rates compared with American men of European ancestry (EA). Differences in genetic susceptibility mechanisms may contribute to this disparity. METHODS To gain insights into the regulatory mechanisms of prostate cancer susceptibility variants, we tested the association between SNPs and DNA methylation (DNAm) at nearby CpG sites across the genome in benign and cancer prostate tissue from 74 AA and 74 EA men. Genome-wide SNP data (from benign tissue) and DNAm were generated using Illumina arrays. RESULTS Among AA men, we identified 6,298 and 2,641 cis-methylation QTLs (meQTL; FDR of 0.05) in benign and tumor tissue, respectively, with 6,960 and 1,700 detected in EA men. We leveraged genome-wide association study (GWAS) summary statistics to identify previously reported prostate cancer GWAS signals likely to share a common causal variant with a detected meQTL. We identified nine GWAS-meQTL pairs with strong evidence of colocalization (four in EA benign, three in EA tumor, two in AA benign, and three in AA tumor). Among these colocalized GWAS-meQTL pairs, we identified colocalizing expression quantitative trait loci (eQTL) impacting four eGenes with known roles in tumorigenesis. CONCLUSIONS These findings highlight epigenetic regulatory mechanisms by which prostate cancer-risk SNPs can modify local DNAm and/or gene expression in prostate tissue. IMPACT Overall, our findings showed general consistency in the meQTL landscape of AA and EA men, but meQTLs often differ by tissue type (normal vs. cancer). Ancestry-based linkage disequilibrium differences and lack of AA representation in GWAS decrease statistical power to detect colocalization for some regions.
Collapse
Affiliation(s)
- Dayana Delgado
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637
| | - Marc Gillard
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637
| | - Lin Tong
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637
| | - Kathryn Demanelis
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15261
- UPMC Hillman Cancer Center, Pittsburgh, PA 15232
| | - Meritxell Oliva
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637
- Genomics Research Center, AbbVie, North Chicago, IL 60064
| | | | - Meytal Chernoff
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637
- Interdisciplinary Scientist Training Program, University of Chicago, Chicago, IL, USA
- University of Chicago Pritzker School of Medicine, Chicago, IL, USA
| | - Lin Chen
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637
| | - Gladell P. Paner
- Department of Pathology, University of Chicago, Chicago, IL 60637
| | - Donald Vander Griend
- Department of Pathology, University of Illinois at Chicago, Chicago, IL 60607
- The University of Illinois Cancer Center, Chicago, IL
| | - Brandon L. Pierce
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637
- Department of Human Genetics, University of Chicago, Chicago, IL 60615
- Comprehensive Cancer Center, University of Chicago, Chicago, IL 60637
| |
Collapse
|
2
|
Piccini JP, Ahlsson A, Dorian P, Gillinov AM, Kowey PR, Mack MJ, Milano CA, Noiseux N, Perrault LP, Ryan W, Steinberg JS, Voisine P, Waldron NH, Gleason KJ, Titanji W, Leaback RD, O'Sullivan A, Ferguson WG, Benussi S. Efficacy and Safety of Botulinum Toxin Type A for the Prevention of Postoperative Atrial Fibrillation. JACC Clin Electrophysiol 2024:S2405-500X(24)00104-X. [PMID: 38661602 DOI: 10.1016/j.jacep.2024.01.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 01/30/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Postoperative atrial fibrillation (POAF) is associated with increased morbidity and mortality. Epicardial injection of botulinum toxin may suppress POAF. OBJECTIVES This study sought to assess the safety and efficacy of AGN-151607 for the prevention of POAF after cardiac surgery. METHODS This phase 2, randomized, placebo-controlled trial assessed the safety and efficacy of AGN-151607, 125 U and 250 U vs placebo (1:1:1), for the prevention of POAF after cardiac surgery. Randomization was stratified by age (<65, ≥65 years) and type of surgery (nonvalvular/valve surgery). The primary endpoint was the occurrence of continuous AF ≥30 seconds. RESULTS Among 312 modified intention-to-treat participants (placebo, n = 102; 125 U, n = 104; and 250 U, n = 106), the mean age was 66.9 ± 6.8 years; 17% were female; and 64% had coronary artery bypass graft (CABG) only, 12% had CABG + valve, and 24% had valve surgery. The primary endpoint occurred in 46.1% of the placebo group, 36.5% of the 125-U group (relative risk [RR] vs placebo: 0.80; 95% CI: 0.58-1.10; P = 0.16), and 47.2% of the 250-U group (RR vs placebo: 1.04; 95% CI: 0.79-1.37; P = 0.78). The primary endpoint was reduced in the 125-U group in those ≥65 years (RR: 0.64; 95% CI: 0.43-0.94; P = 0.02) with a greater reduction in CABG-only participants ≥65 years (RR: 0.49; 95% CI: 0.27-0.87; P = 0.01). Rehospitalization and rates of adverse events were similar across the 3 groups. CONCLUSIONS There were no significant differences in the rate of POAF with either dose compared with placebo; however, there was a lower rate of POAF in participants ≥65 years undergoing CABG only and receiving 125 U of AGN-151607. These hypothesis-generating findings require investigation in a larger, adequately powered randomized clinical trial. (Botulinum Toxin Type A [AGN-151607] for the Prevention of Post-operative Atrial Fibrillation in Adult Participants Undergoing Open-chest Cardiac Surgery [NOVA]; NCT03779841); A Phase 2, Multi-Center, Randomized, Double-Blind, Placebo-Controlled, Dose Ranging Study to Evaluate the Efficacy and Safety of Botulinum Toxin Type A [AGN 151607] Injections into the Epicardial Fat Pads to Prevent Post-Operative Atrial Fibrillation in Patients Undergoing Open-Chest Cardiac Surgery; 2017-004399-68).
Collapse
Affiliation(s)
- Jonathan P Piccini
- Department of Electrophysiology, Duke Clinical Research Institute/Duke University Medical Center, Durham, North Carolina, USA.
| | - Anders Ahlsson
- Cardiovascular Division, Karolinska Institute, Stockholm, Sweden
| | - Paul Dorian
- Division of Cardiology, St Michael's Hospital, Toronto, Ontario, Canada
| | - A Marc Gillinov
- Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, Ohio, USA
| | - Peter R Kowey
- Division of Cardiovascular Research, Lankenau Heart Institute, Wynnewood, Pennsylvania, USA
| | - Michael J Mack
- Department of Thoracic Surgery, Baylor Scott and White Health, Dallas, Texas, USA
| | - Carmelo A Milano
- Division of Cardiothoracic Surgery, Duke Clinical Research Institute/Duke University Medical Center, Durham, North Carolina, USA
| | - Nicolas Noiseux
- Division of Cardiac Surgery, Centre Hospitalier de l'Université de Montréal, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Quebec, Canada
| | - Louis P Perrault
- Department of Surgery, Montréal Heart Institute, Université de Montréal, Montréal, Quebec City, Quebec, Canada
| | - William Ryan
- Department of Thoracic Surgery, Baylor Scott and White Health, Dallas, Texas, USA
| | - Jonathan S Steinberg
- Clinical Cardiovascular Research Center, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Pierre Voisine
- Division of Cardiac Surgery, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec, Canada
| | - Nathan H Waldron
- Department of Anesthesiology and Critical Care, Mayo Clinic, Jacksonville, Florida, USA
| | | | | | | | | | | | - Stefano Benussi
- Department of Cardiothoracic Surgery, University of Brescia, Brescia, Italy
| |
Collapse
|
3
|
Zhao YY, Wang R, Gleason KJ, Lewis EF, Quan SF, Toth CM, Song Y, Morrical M, Rueschman M, Mittleman MA, Redline S. Effect of continuous positive airway pressure treatment on ambulatory blood pressures in high-risk sleep apnea patients: a randomized controlled trial. J Clin Sleep Med 2022; 18:1899-1907. [PMID: 35459446 PMCID: PMC9340589 DOI: 10.5664/jcsm.10012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES The long-term effect of continuous positive airway pressure (CPAP) on 24-hour blood pressure (BP) in high-risk patients with obstructive sleep apnea (OSA) is uncertain. We aimed to determine the effect of CPAP treatment on ambulatory BP in individuals with moderate or severe OSA and cardiovascular disease (CVD) or multiple CVD risk factors without severe sleepiness. METHODS In this randomized, controlled, parallel group study, 169 participants were randomly assigned to CPAP treatment or the control group. The primary outcome was the change in mean 24-hour systolic BP between groups from baseline to the average of 6 and 12 month measurements using mixed effect linear regression models. RESULTS The 24-hour systolic BP did not significantly differ by group, although there was a trend of decrease in the CPAP group (treatment effect -2.7 mm Hg [95% confidence interval -5.9 to 0.6]; P=0.105) compared with control. CPAP had the greatest effect on nighttime systolic BP (treatment effect -5.9 mm Hg [95% confidence interval -9.9 to -1.9]; P=0.004). Similar improvements in other nocturnal BP indices were observed. CONCLUSIONS In high risk patients with moderate-severe OSA without severe sleepiness, CPAP resulted in modest BP improvements over 6 to 12 months of follow-up, with possibly larger effects for nocturnal BP. Use of office blood pressure may under-estimate the effect of CPAP on BP profile in patients with OSA. CLINICAL TRIAL REGISTRATION Registry: ClinicalTrials.gov; Title: Sleep Apnea Intervention for Cardiovascular Disease Reduction; Identifier: NCT01261390; URL: https://clinicaltrials.gov/ct2/show/NCT01261390.
Collapse
Affiliation(s)
- Ying Y Zhao
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA.,Department of Medicine, Joseph Brant Hospital, Burlington, Ontario, Canada
| | - Rui Wang
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Kevin J Gleason
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Eldrin F Lewis
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Stuart F Quan
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - Claudia M Toth
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - Yue Song
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Michael Morrical
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Michael Rueschman
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Murray A Mittleman
- Harvard Medical School, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Susan Redline
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| |
Collapse
|
4
|
Gleason KJ, Yang F, Chen LS. A robust two-sample transcriptome-wide Mendelian randomization method integrating GWAS with multi-tissue eQTL summary statistics. Genet Epidemiol 2021; 45:353-371. [PMID: 33834509 DOI: 10.1002/gepi.22380] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 01/25/2021] [Accepted: 02/08/2021] [Indexed: 02/06/2023]
Abstract
By treating genetic variants as instrumental variables (IVs), two-sample Mendelian randomization (MR) methods detect genetically regulated risk exposures for complex diseases using only summary statistics. When considering gene expression as exposure in transcriptome-wide MR (TWMR) analyses, the eQTLs (expression-quantitative-trait-loci) may have pleiotropic effects or be correlated with variants that have effects on disease not via expression, and the presence of those invalid IVs would lead to biased inference. Moreover, the number of eQTLs as IVs for a gene is generally limited, making the detection of invalid IVs challenging. We propose a method, "MR-MtRobin," for accurate TWMR inference in the presence of invalid IVs. By leveraging multi-tissue eQTL data in a mixed model, the proposed method makes identifiable the IV-specific random effects due to pleiotropy from estimation errors of eQTL summary statistics, and can provide accurate inference on the dependence (fixed effects) between eQTL and GWAS (genome-wide association study) effects in the presence of invalid IVs. Moreover, our method can improve power and precision in inference by selecting cross-tissue eQTLs as IVs that have improved consistency of effects across eQTL and GWAS data. We applied MR-MtRobin to detect genes associated with schizophrenia risk by integrating summary-level data from the Psychiatric Genomics Consortium and the Genotype-Tissue Expression project (V8).
Collapse
Affiliation(s)
- Kevin J Gleason
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| | - Fan Yang
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Lin S Chen
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| |
Collapse
|
5
|
Yang F, Gleason KJ, Wang J, Duan J, He X, Pierce BL, Chen LS. CCmed: Cross-condition mediation analysis for identifying replicable trans-associations mediated by cis-gene expression. Bioinformatics 2021; 37:2513-2520. [PMID: 33647928 PMCID: PMC8428610 DOI: 10.1093/bioinformatics/btab139] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 02/25/2021] [Indexed: 11/14/2022] Open
Abstract
MOTIVATION Trans-acting expression quantitative trait loci (eQTLs) collectively explain a substantial proportion of expression variation, yet are challenging to detect and replicate since their effects are often individually weak. A large proportion of genetic effects on distal genes are mediated through cisgene expression. Cis-association (between SNP and cis-gene) and gene-gene correlation conditional on SNP genotype could establish trans-association (between SNP and trans-gene). Both cis-association and gene-gene conditional correlation have effects shared across relevant tissues and conditions, and transassociations mediated by cis-gene expression also have effects shared across relevant conditions. RESULTS . We proposed a Cross-Condition Mediation analysis method (CCmed) for detecting cis-mediated trans-associations with replicable effects in relevant conditions/studies. CCmed integrates cis-association and gene-gene conditional correlation statistics from multiple tissues/studies. Motivated by the bimodal effect-sharing patterns of eQTLs, we proposed two variations of CCmed, CCmedmost and CCmedspec for detecting cross-tissue and tissue-specific trans-associations, respectively. We analyzed data of 13 brain tissues from the Genotype-Tissue Expression (GTEx) project, and identified trios with cis-mediated transassociations across brain tissues, many of which showed evidence of trans-association in two replication studies. We also identified trans-genes associated with schizophrenia loci in at least two brain tissues. AVAILABILITY AND IMPLEMENTATION CCmed software is available at http://github.com/kjgleason/CCmed. SUPPLEMENTARY INFORMATION Supplementary Material are available at Bioinformatics online.
Collapse
Affiliation(s)
- Fan Yang
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, 13001 E. 17th Place, Aurora, Colorado, 80045, USA
| | - Kevin J Gleason
- Department of Public Health Sciences, University of Chicago, 5841 South Maryland Ave MC2000, Chicago, IL, 60637, USA
| | - Jiebiao Wang
- Department of Biostatistics, University of Pittsburgh, 7135 Public Health, 130 DeSoto Street, Pittsburgh, PA, 15261, USA
| | - Jubao Duan
- Center for Psychiatric Genetics, NorthShore University HealthSystem, 1001 University Place, Evanston, IL, 60201, USA.,Department of Psychiatry and Behavioral Neuroscience, 5841 S Maryland Ave, Chicago MC3077, Chicago, IL, 60637, USA
| | - Xin He
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Brandon L Pierce
- Department of Public Health Sciences, University of Chicago, 5841 South Maryland Ave MC2000, Chicago, IL, 60637, USA.,Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Lin S Chen
- Department of Public Health Sciences, University of Chicago, 5841 South Maryland Ave MC2000, Chicago, IL, 60637, USA
| |
Collapse
|
6
|
Gleason KJ, Yang F, Pierce BL, He X, Chen LS. Primo: integration of multiple GWAS and omics QTL summary statistics for elucidation of molecular mechanisms of trait-associated SNPs and detection of pleiotropy in complex traits. Genome Biol 2020; 21:236. [PMID: 32912334 PMCID: PMC7488447 DOI: 10.1186/s13059-020-02125-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Accepted: 07/29/2020] [Indexed: 01/10/2023] Open
Abstract
To provide a comprehensive mechanistic interpretation of how known trait-associated SNPs affect complex traits, we propose a method, Primo, for integrative analysis of GWAS summary statistics with multiple sets of omics QTL summary statistics from different cellular conditions or studies. Primo examines association patterns of SNPs to complex and omics traits. In gene regions harboring known susceptibility loci, Primo performs conditional association analysis to account for linkage disequilibrium. Primo allows for unknown study heterogeneity and sample correlations. We show two applications using Primo to examine the molecular mechanisms of known susceptibility loci and to detect and interpret pleiotropic effects.
Collapse
Affiliation(s)
- Kevin J. Gleason
- Department of Public Health Sciences, University of Chicago, 5841 South Maryland Ave MC2000, Chicago, 60637 IL USA
| | - Fan Yang
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, 13001 E. 17th Place, Aurora, 80045 CO USA
| | - Brandon L. Pierce
- Department of Public Health Sciences, University of Chicago, 5841 South Maryland Ave MC2000, Chicago, 60637 IL USA
- Department of Human Genetics, University of Chicago, 920 E 58th St, Chicago, 60637 IL USA
| | - Xin He
- Department of Human Genetics, University of Chicago, 920 E 58th St, Chicago, 60637 IL USA
| | - Lin S. Chen
- Department of Public Health Sciences, University of Chicago, 5841 South Maryland Ave MC2000, Chicago, 60637 IL USA
| |
Collapse
|
7
|
Reid ML, Gleason KJ, Bakker JP, Wang R, Mittleman MA, Redline S. The role of sham continuous positive airway pressure as a placebo in controlled trials: Best Apnea Interventions for Research Trial. Sleep 2020; 42:5497419. [PMID: 31116848 DOI: 10.1093/sleep/zsz099] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 03/19/2019] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES The main objective of this study was to evaluate the role of sham continuous positive airway pressure (CPAP) compared to conservative medical therapy (CMT) as a control arm in the Best Apnea Interventions for Research (BestAIR) study by assessing differences in subjectively and objectively measured outcomes, adverse events, adherence, and retention rates. METHODS BestAIR is a clinical trial aimed to identify important design features for future randomized controlled trials of CPAP. Participants with obstructive sleep apnea were randomized to one of four groups; two control arms (CMT, sham-CPAP) and two active CPAP arms (with and without behavioral interventions). Blood pressure and health-related quality of life outcomes were assessed at baseline, 6 and 12 months. Study outcomes, retention, and adverse event rates were compared between the two control arms. Sham-CPAP adherence and self-efficacy were also compared to active-CPAP adherence (without behavioral intervention). RESULTS Our sample included 86 individuals in the control arms and 42 participants in the active-CPAP arm. There were no differences in longitudinal profiles in blood pressure, health-related quality of life outcomes, dropout rates, or adverse events in sham-CPAP group compared to CMT-only group (all ps > 0.05); standardized differences were generally small and with inconsistent directionality across measurements. When compared to active-CPAP, sham-CPAP was associated with 93 fewer minutes/night of usage over 12 months (p = 0.007) and lower outcome expectations (p < 0.05). CONCLUSION We observed no evidence of differences in objectively or subjectively measured outcomes with the use of sham-CPAP compared to CMT group. The lower adherence on sham-CPAP and poorer self-efficacy compared to active-CPAP may suggest differences in perceived benefit. REGISTRATION NCT01261390 Best Apnea Interventions for Research (BestAIR) www.clinicaltrials.gov.
Collapse
Affiliation(s)
- Michelle L Reid
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston MA
| | - Kevin J Gleason
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston MA.,Department of Public Health Sciences, University of Chicago, Chicago, IL
| | - Jessie P Bakker
- 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
| | - Rui Wang
- 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 University T.H. Chan School of Public Health, Boston, MA.,Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA
| | - Murray A Mittleman
- Department of Epidemiology, Harvard University T.H. Chan School of Public Health, Boston, MA.,Department of Medicine, Beth Israel Deaconess Medical Center, Boston, 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.,Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| |
Collapse
|
8
|
Song X, Ji J, Gleason KJ, Yang F, Martignetti JA, Chen LS, Wang P. Insights into Impact of DNA Copy Number Alteration and Methylation on the Proteogenomic Landscape of Human Ovarian Cancer via a Multi-omics Integrative Analysis. Mol Cell Proteomics 2019; 18:S52-S65. [PMID: 31227599 PMCID: PMC6692782 DOI: 10.1074/mcp.ra118.001220] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 06/19/2019] [Indexed: 12/19/2022] Open
Abstract
In this work, we propose iProFun, an integrative analysis tool to screen for proteogenomic functional traits perturbed by DNA copy number alterations (CNAs) and DNA methylations. The goal is to characterize functional consequences of DNA copy number and methylation alterations in tumors and to facilitate screening for cancer drivers contributing to tumor initiation and progression. Specifically, we consider three functional molecular quantitative traits: mRNA expression levels, global protein abundances, and phosphoprotein abundances. We aim to identify those genes whose CNAs and/or DNA methylations have cis-associations with either some or all three types of molecular traits. Compared with analyzing each molecular trait separately, the joint modeling of multi-omics data enjoys several benefits: iProFun experienced enhanced power for detecting significant cis-associations shared across different omics data types, and it also achieved better accuracy in inferring cis-associations unique to certain type(s) of molecular trait(s). For example, unique associations of CNAs/methylations to global/phospho protein abundances may imply posttranslational regulations.We applied iProFun to ovarian high-grade serous carcinoma tumor data from The Cancer Genome Atlas and Clinical Proteomic Tumor Analysis Consortium and identified CNAs and methylations of 500 and 121 genes, respectively, affecting the cis-functional molecular quantitative traits of the corresponding genes. We observed substantial power gain via the joint analysis of iProFun. For example, iProFun identified 117 genes whose CNAs were associated with phosphoprotein abundances by leveraging mRNA expression levels and global protein abundances. By comparison, analyses based on phosphoprotein data alone identified none. A network analysis of these 117 genes revealed the known oncogene AKT1 as a key hub node interacting with many of the rest. In addition, iProFun identified one gene, BIN2, whose DNA methylation has cis-associations with its mRNA expression, global protein, and phosphoprotein abundances. These and other genes identified by iProFun could serve as potential drug targets for ovarian cancer.
Collapse
Affiliation(s)
- Xiaoyu Song
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jiayi Ji
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Kevin J Gleason
- Department of Public Health Sciences, The University of Chicago, Chicago, IL
| | - Fan Yang
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, Aurora, CO
| | - John A Martignetti
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Lin S Chen
- Department of Public Health Sciences, The University of Chicago, Chicago, IL.
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY.
| |
Collapse
|
9
|
Cade BE, Chen H, Stilp AM, Louie T, Ancoli-Israel S, Arens R, Barfield R, Below JE, Cai J, Conomos MP, Evans DS, Frazier-Wood AC, Gharib SA, Gleason KJ, Gottlieb DJ, Hillman DR, Johnson WC, Lederer DJ, Lee J, Loredo JS, Mei H, Mukherjee S, Patel SR, Post WS, Purcell SM, Ramos AR, Reid KJ, Rice K, Shah NA, Sofer T, Taylor KD, Thornton TA, Wang H, Yaffe K, Zee PC, Hanis CL, Palmer LJ, Rotter JI, Stone KL, Tranah GJ, Wilson JG, Sunyaev SR, Laurie CC, Zhu X, Saxena R, Lin X, Redline S. Associations of variants In the hexokinase 1 and interleukin 18 receptor regions with oxyhemoglobin saturation during sleep. PLoS Genet 2019; 15:e1007739. [PMID: 30990817 PMCID: PMC6467367 DOI: 10.1371/journal.pgen.1007739] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 10/03/2018] [Indexed: 12/12/2022] Open
Abstract
Sleep disordered breathing (SDB)-related overnight hypoxemia is associated with cardiometabolic disease and other comorbidities. Understanding the genetic bases for variations in nocturnal hypoxemia may help understand mechanisms influencing oxygenation and SDB-related mortality. We conducted genome-wide association tests across 10 cohorts and 4 populations to identify genetic variants associated with three correlated measures of overnight oxyhemoglobin saturation: average and minimum oxyhemoglobin saturation during sleep and the percent of sleep with oxyhemoglobin saturation under 90%. The discovery sample consisted of 8,326 individuals. Variants with p < 1 × 10(-6) were analyzed in a replication group of 14,410 individuals. We identified 3 significantly associated regions, including 2 regions in multi-ethnic analyses (2q12, 10q22). SNPs in the 2q12 region associated with minimum SpO2 (rs78136548 p = 2.70 × 10(-10)). SNPs at 10q22 were associated with all three traits including average SpO2 (rs72805692 p = 4.58 × 10(-8)). SNPs in both regions were associated in over 20,000 individuals and are supported by prior associations or functional evidence. Four additional significant regions were detected in secondary sex-stratified and combined discovery and replication analyses, including a region overlapping Reelin, a known marker of respiratory complex neurons.These are the first genome-wide significant findings reported for oxyhemoglobin saturation during sleep, a phenotype of high clinical interest. Our replicated associations with HK1 and IL18R1 suggest that variants in inflammatory pathways, such as the biologically-plausible NLRP3 inflammasome, may contribute to nocturnal hypoxemia.
Collapse
Affiliation(s)
- Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - 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 United States of America
- Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX United States of America
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Tin Louie
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Sonia Ancoli-Israel
- Department of Psychiatry, University of California, San Diego, CA, United States of America
| | - Raanan Arens
- The Children’s Hospital at Montefiore, Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, Bronx, NY, United States of America
| | - Richard Barfield
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Jennifer E. Below
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Jianwen Cai
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States of America
| | - Matthew P. Conomos
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Alexis C. Frazier-Wood
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, United States of America
| | - 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, United States of America
| | - Kevin J. Gleason
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Department of Public Health Sciences, University of Chicago, Chicago, IL, United States of America
| | - Daniel J. Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- VA Boston Healthcare System, Boston, MA, United States of America
| | - David R. Hillman
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - David J. Lederer
- Departments of Medicine and Epidemiology, Columbia University, New York, NY, United States of America
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Jose S. Loredo
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, UC San Diego School of Medicine, La Jolla, CA, United States of America
| | - Hao Mei
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, United States of America
| | - Sutapa Mukherjee
- Sleep Health Service, Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, South Australia
- Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia
| | - Sanjay R. Patel
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Wendy S. Post
- Division of Cardiology, Johns Hopkins University, Baltimore, MD, United States of America
| | - Shaun M. Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Alberto R. Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, United States of America
| | - Kathryn J. Reid
- Department of Neurology, Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Neomi A. Shah
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Timothy A. Thornton
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Kristine Yaffe
- Department of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, United States of America
- San Francisco VA Medical Center, San Francisco, CA, United States of America
| | - Phyllis C. Zee
- Department of Neurology, Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - 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 United States of America
| | - Lyle J. Palmer
- School of Public Health, University of Adelaide, South Australia, Australia
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson MS, United States of America
| | - Shamil R. Sunyaev
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, United States of America
- Division of Medical Sciences, Harvard Medical School, Boston, MA, United States of America
| | - Cathy C. Laurie
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States of America
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, United States of America
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
| |
Collapse
|
10
|
Chen H, Cade BE, Gleason KJ, Bjonnes AC, Stilp AM, Sofer T, Conomos MP, Ancoli-Israel S, Arens R, Azarbarzin A, Bell GI, Below JE, Chun S, Evans DS, Ewert R, Frazier-Wood AC, Gharib SA, Haba-Rubio J, Hagen EW, Heinzer R, Hillman DR, Johnson WC, Kutalik Z, Lane JM, Larkin EK, Lee SK, Liang J, Loredo JS, Mukherjee S, Palmer LJ, Papanicolaou GJ, Penzel T, Peppard PE, Post WS, Ramos AR, Rice K, Rotter JI, Sands SA, Shah NA, Shin C, Stone KL, Stubbe B, Sul JH, Tafti M, Taylor KD, Teumer A, Thornton TA, Tranah GJ, Wang C, Wang H, Warby SC, Wellman DA, Zee PC, Hanis CL, Laurie CC, Gottlieb DJ, Patel SR, Zhu X, Sunyaev SR, Saxena R, Lin X, Redline S. Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men. Am J Respir Cell Mol Biol 2018; 58:391-401. [PMID: 29077507 PMCID: PMC5854957 DOI: 10.1165/rcmb.2017-0237oc] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Accepted: 10/24/2017] [Indexed: 12/19/2022] Open
Abstract
Obstructive sleep apnea (OSA) is a common heritable disorder displaying marked sexual dimorphism in disease prevalence and progression. Previous genetic association studies have identified a few genetic loci associated with OSA and related quantitative traits, but they have only focused on single ethnic groups, and a large proportion of the heritability remains unexplained. The apnea-hypopnea index (AHI) is a commonly used quantitative measure characterizing OSA severity. Because OSA differs by sex, and the pathophysiology of obstructive events differ in rapid eye movement (REM) and non-REM (NREM) sleep, we hypothesized that additional genetic association signals would be identified by analyzing the NREM/REM-specific AHI and by conducting sex-specific analyses in multiethnic samples. We performed genome-wide association tests for up to 19,733 participants of African, Asian, European, and Hispanic/Latino American ancestry in 7 studies. We identified rs12936587 on chromosome 17 as a possible quantitative trait locus for NREM AHI in men (N = 6,737; P = 1.7 × 10-8) but not in women (P = 0.77). The association with NREM AHI was replicated in a physiological research study (N = 67; P = 0.047). This locus overlapping the RAI1 gene and encompassing genes PEMT1, SREBF1, and RASD1 was previously reported to be associated with coronary artery disease, lipid metabolism, and implicated in Potocki-Lupski syndrome and Smith-Magenis syndrome, which are characterized by abnormal sleep phenotypes. We also identified gene-by-sex interactions in suggestive association regions, suggesting that genetic variants for AHI appear to vary by sex, consistent with the clinical observations of strong sexual dimorphism.
Collapse
Affiliation(s)
- Han Chen
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health and
- Center for Precision Health, School of Public Health & School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Kevin J. Gleason
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Andrew C. Bjonnes
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Matthew P. Conomos
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Sonia Ancoli-Israel
- Departments of Medicine and Psychiatry, University of California, San Diego, California
| | - Raanan Arens
- the Children’s Hospital at Montefiore, Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Graeme I. Bell
- Section of Adult and Pediatric Endocrinology, Diabetes, and Metabolism, the University of Chicago, Chicago, Illinois
| | - Jennifer E. Below
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health and
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sung Chun
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Ralf Ewert
- Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | | | - 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, Washington
| | - José Haba-Rubio
- Center of Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
| | - Erika W. Hagen
- Department of Population Health Sciences, University of Wisconsin, Madison, Wisconsin
| | - Raphael Heinzer
- Center of Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
| | - David R. Hillman
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Zoltan Kutalik
- Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Jacqueline M. Lane
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Emma K. Larkin
- Department of Medicine, Division of Allergy, Pulmonary, and Critical Care, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Seung Ku Lee
- Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Jeokgum-ro, Danwon-gu, Ansan-si, Gyeonggi-Do, Republic of Korea
| | - Jingjing Liang
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Jose S. Loredo
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, University of California San Diego School of Medicine, La Jolla, California
| | - Sutapa Mukherjee
- Adelaide Institute for Sleep Health, Flinders Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - Lyle J. Palmer
- School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
| | - George J. Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland
| | - Thomas Penzel
- University Hospital Charité Berlin, Sleep Center, Berlin, Germany
| | - Paul E. Peppard
- Department of Population Health Sciences, University of Wisconsin, Madison, Wisconsin
| | - Wendy S. Post
- Division of Cardiology, Johns Hopkins University, Baltimore, Maryland
| | - Alberto R. Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor–University of California Los Angeles Medical Center, Torrance, California
| | - Scott A. Sands
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Neomi A. Shah
- Division of Pulmonary, Critical Care, and Sleep, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Chol Shin
- Department of Pulmonary, Sleep, and Critical Care Medicine, College of Medicine, Korea University Ansan Hospital, Jeokgum-ro, Danwon-gu, Ansan-si, Gyeonggi-do, Republic of Korea
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Beate Stubbe
- Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Jae Hoon Sul
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California
| | - Mehdi Tafti
- Center of Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
- Department of Physiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor–University of California Los Angeles Medical Center, Torrance, California
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Chaolong Wang
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Computational and Systems Biology, Genome Institute of Singapore, Singapore
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Simon C. Warby
- Department of Psychiatry, University of Montreal, Montreal, Quebec, Canada
| | - D. Andrew Wellman
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Phyllis C. Zee
- Department of Neurology and Sleep Medicine Center, Northwestern University, Chicago, Illinois
| | - Craig L. Hanis
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health and
| | - Cathy C. Laurie
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Daniel J. Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
| | - Sanjay R. Patel
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Shamil R. Sunyaev
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts; and
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Xihong Lin
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| |
Collapse
|
11
|
Wang H, Cade BE, Chen H, Gleason KJ, Saxena R, Feng T, Larkin EK, Vasan RS, Lin H, Patel SR, Tracy RP, Liu Y, Gottlieb DJ, Below JE, Hanis CL, Petty LE, Sunyaev SR, Frazier-Wood AC, Rotter JI, Post W, Lin X, Redline S, Zhu X. Variants in angiopoietin-2 (ANGPT2) contribute to variation in nocturnal oxyhaemoglobin saturation level. Hum Mol Genet 2017; 25:5244-5253. [PMID: 27798093 DOI: 10.1093/hmg/ddw324] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Accepted: 09/19/2016] [Indexed: 12/30/2022] Open
Abstract
Genetic determinants of sleep-disordered breathing (SDB), a common set of disorders that contribute to significant cardiovascular and neuropsychiatric morbidity, are not clear. Overnight nocturnal oxygen saturation (SaO2) is a clinically relevant and easily measured indicator of SDB severity but its genetic contribution has never been studied. Our recent study suggests nocturnal SaO2 is heritable. We performed linkage analysis, association analysis and haplotype analysis of average nocturnal oxyhaemoglobin saturation in participants in the Cleveland Family Study (CFS), followed by gene-based association and additional tests in four independent samples. Linkage analysis identified a peak (LOD = 4.29) on chromosome 8p23. Follow-up association analysis identified two haplotypes in angiopoietin-2 (ANGPT2) that significantly contributed to the variation of SaO2 (P = 8 × 10-5) and accounted for a portion of the linkage evidence. Gene-based association analysis replicated the association of ANGPT2 and nocturnal SaO2. A rare missense SNP rs200291021 in ANGPT2 was associated with serum angiopoietin-2 level (P = 1.29 × 10-4), which was associated with SaO2 (P = 0.002). Our study provides the first evidence for the association of ANGPT2, a gene previously implicated in acute lung injury syndromes, with nocturnal SaO2, suggesting that this gene has a broad range of effects on gas exchange, including influencing oxygenation during sleep.
Collapse
Affiliation(s)
- Heming Wang
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, 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
| | - Han Chen
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kevin J Gleason
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Department of Public Health Sciences, University of Chicago, Chicago, IL, 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.,Center for Human Genetic Research and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Tao Feng
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - Emma K Larkin
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ramachandran S Vasan
- Preventive Medicine & Epidemiology, Boston University School of Medicine, Boston, MA, USA.,Framingham Heart Study, Framingham, MA
| | - Honghuang Lin
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Sanjay R Patel
- 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
| | - Russell P Tracy
- Department of Pathology & Laboratory Medicine, University of Vermont, Burlington, VT, USA
| | - Yongmei Liu
- Epidemiology and Prevention Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, 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.,Sleep Disorders Center, VA Boston Healthcare System, Boston, MA, USA
| | - Jennifer E Below
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Craig L Hanis
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lauren E Petty
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Shamil R Sunyaev
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.,Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Wendy Post
- Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, 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 Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| |
Collapse
|
12
|
Zhao YY, Wang R, Gleason KJ, Lewis EF, Quan SF, Toth CM, Morrical M, Rueschman M, Weng J, Ware JH, Mittleman MA, Redline S. Effect of Continuous Positive Airway Pressure Treatment on Health-Related Quality of Life and Sleepiness in High Cardiovascular Risk Individuals With Sleep Apnea: Best Apnea Interventions for Research (BestAIR) Trial. Sleep 2017; 40:3737623. [PMID: 28419387 PMCID: PMC5806548 DOI: 10.1093/sleep/zsx040] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Study Objectives The long-term effect of continuous positive airway pressure (CPAP) on health-related quality of life (HRQOL) in patients with high cardiovascular disease risk and obstructive sleep apnea (OSA) without severe sleepiness is uncertain. We aimed to determine the effect of CPAP treatment on HRQOL in individuals with moderate or severe OSA and cardiovascular disease (CVD) or multiple CVD risk factors without severe sleepiness. Methods In this randomized, controlled, parallel group study, 169 participants were assigned to treatment with CPAP or the control group (conservative medical therapy [CMT] or CMT with sham CPAP). Analyses were based on an intention-to-treat approach. Linear mixed effect models were fitted to compare the changes in the Medical Outcomes Study Short Form-36 (SF-36) and in subjective sleepiness (Epworth Sleepiness Scale [ESS]) between groups from baseline to the average of 6- and 12-month measurements. Results CPAP improved several domains of HRQOL including bodily pain (treatment effect 9.7 [95% confidence interval, CI 3.9 to 15.4]; p = .001), vitality (5.7 [95% CI 1.5 to 9.9]; p = .008), general health (8.2 [95% CI 3.7 to 12.7]; p < .001), physical functioning (5.5 [95% CI 1.1 to 10.0]; p = .016), and the physical health summary score (3.3 [95% CI 1.4 to 5.3]; p = .001). CPAP also resulted in less daytime sleepiness (mean change in ESS -1.0 point [95% CI -2.0 to -0.0]; p = .040). Conclusions In patients with moderate-severe OSA at high risk of cardiovascular events and without severe sleepiness, CPAP improved daytime sleepiness and multiple domains of HRQOL over 6 to 12 months of follow-up, with the largest improvement observed for bodily pain.
Collapse
Affiliation(s)
- Ying Y Zhao
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Rui Wang
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Kevin J Gleason
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Department of Public Health Sciences, University of Chicago, Chicago, IL
| | - Eldrin F Lewis
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Stuart F Quan
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Claudia M Toth
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Michael Morrical
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Michael Rueschman
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Jia Weng
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - James H Ware
- Harvard Medical School, Boston, MA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Murray A Mittleman
- Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Susan Redline
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| |
Collapse
|
13
|
Liang J, Cade BE, Wang H, Chen H, Gleason KJ, Larkin EK, Saxena R, Lin X, Redline S, Zhu X. Comparison of Heritability Estimation and Linkage Analysis for Multiple Traits Using Principal Component Analyses. Genet Epidemiol 2016; 40:222-32. [PMID: 27027516 DOI: 10.1002/gepi.21957] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Revised: 11/30/2015] [Accepted: 12/14/2015] [Indexed: 12/16/2022]
Abstract
A disease trait often can be characterized by multiple phenotypic measurements that can provide complementary information on disease etiology, physiology, or clinical manifestations. Given that multiple phenotypes may be correlated and reflect common underlying genetic mechanisms, the use of multivariate analysis of multiple traits may improve statistical power to detect genes and variants underlying complex traits. The literature, however, has been unclear as to the optimal approach for analyzing multiple correlated traits. In this study, heritability and linkage analysis was performed for six obstructive sleep apnea hypopnea syndrome (OSAHS) related phenotypes, as well as principal components of the phenotypes and principal components of the heritability (PCHs) using the data from Cleveland Family Study, which include both African and European American families. Our study demonstrates that principal components generally result in higher heritability and linkage evidence than individual traits. Furthermore, the PCHs can be transferred across populations, strongly suggesting that these PCHs reflect traits with common underlying genetic mechanisms for OSAHS across populations. Thus, PCHs can provide useful traits for using data on multiple phenotypes and for genetic studies of trans-ethnic populations.
Collapse
Affiliation(s)
- Jingjing Liang
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, 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
| | - Heming Wang
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Han Chen
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Kevin J Gleason
- 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
| | - Emma K Larkin
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Richa Saxena
- 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.,Center for Human Genetic Research and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.,Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, 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
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
| |
Collapse
|
14
|
Cade BE, Chen H, Stilp AM, Gleason KJ, Sofer T, Ancoli-Israel S, Arens R, Bell GI, Below JE, Bjonnes AC, Chun S, Conomos MP, Evans DS, Johnson WC, Frazier-Wood AC, Lane JM, Larkin EK, Loredo JS, Post WS, Ramos AR, Rice K, Rotter JI, Shah NA, Stone KL, Taylor KD, Thornton TA, Tranah GJ, Wang C, Zee PC, Hanis CL, Sunyaev SR, Patel SR, Laurie CC, Zhu X, Saxena R, Lin X, Redline S. Genetic Associations with Obstructive Sleep Apnea Traits in Hispanic/Latino Americans. Am J Respir Crit Care Med 2016; 194:886-897. [PMID: 26977737 PMCID: PMC5074655 DOI: 10.1164/rccm.201512-2431oc] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 03/14/2016] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Obstructive sleep apnea is a common disorder associated with increased risk for cardiovascular disease, diabetes, and premature mortality. Although there is strong clinical and epidemiologic evidence supporting the importance of genetic factors in influencing obstructive sleep apnea, its genetic basis is still largely unknown. Prior genetic studies focused on traits defined using the apnea-hypopnea index, which contains limited information on potentially important genetically determined physiologic factors, such as propensity for hypoxemia and respiratory arousability. OBJECTIVES To define novel obstructive sleep apnea genetic risk loci for obstructive sleep apnea, we conducted genome-wide association studies of quantitative traits in Hispanic/Latino Americans from three cohorts. METHODS Genome-wide data from as many as 12,558 participants in the Hispanic Community Health Study/Study of Latinos, Multi-Ethnic Study of Atherosclerosis, and Starr County Health Studies population-based cohorts were metaanalyzed for association with the apnea-hypopnea index, average oxygen saturation during sleep, and average respiratory event duration. MEASUREMENTS AND MAIN RESULTS Two novel loci were identified at genome-level significance (rs11691765, GPR83, P = 1.90 × 10-8 for the apnea-hypopnea index, and rs35424364; C6ORF183/CCDC162P, P = 4.88 × 10-8 for respiratory event duration) and seven additional loci were identified with suggestive significance (P < 5 × 10-7). Secondary sex-stratified analyses also identified one significant and several suggestive associations. Multiple loci overlapped genes with biologic plausibility. CONCLUSIONS These are the first genome-level significant findings reported for obstructive sleep apnea-related physiologic traits in any population. These findings identify novel associations in inflammatory, hypoxia signaling, and sleep pathways.
Collapse
Affiliation(s)
- Brian E. Cade
- Division of Sleep and Circadian Disorders and
- Division of Sleep Medicine and
| | - Han Chen
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, Washington
| | | | - Tamar Sofer
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Sonia Ancoli-Israel
- Department of Medicine and
- Department of Psychiatry, University of California, San Diego, California
- Department of Veterans Affairs San Diego Center of Excellence for Stress and Mental Health, San Diego, California
| | - Raanan Arens
- The Children’s Hospital at Montefiore, Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Graeme I. Bell
- Section of Adult and Pediatric Endocrinology, Diabetes, and Metabolism, The University of Chicago, Chicago, Illinois
| | - Jennifer E. Below
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Andrew C. Bjonnes
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Sung Chun
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
| | - Matthew P. Conomos
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, California
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, Washington
| | | | - Jacqueline M. Lane
- Division of Sleep and Circadian Disorders and
- Division of Sleep Medicine and
- Center for Human Genetic Research and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Emma K. Larkin
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jose S. Loredo
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, UC San Diego School of Medicine, La Jolla, California
| | - Wendy S. Post
- Division of Cardiology, Johns Hopkins University, Baltimore, Maryland
| | - Alberto R. Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Neomi A. Shah
- Department of Medicine, Montefiore Medical Center, Bronx, New York
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California
| | | | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Chaolong Wang
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Genome Institute of Singapore, Singapore
| | - Phyllis C. Zee
- Department of Neurology and Sleep Medicine Center, Northwestern University, Chicago, Illinois
| | - Craig L. Hanis
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Shamil R. Sunyaev
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Sanjay R. Patel
- Division of Sleep and Circadian Disorders and
- Division of Sleep Medicine and
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts; and
| | - Cathy C. Laurie
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Richa Saxena
- Division of Sleep and Circadian Disorders and
- Center for Human Genetic Research and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Xihong Lin
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Susan Redline
- Division of Sleep and Circadian Disorders and
- Division of Sleep Medicine and
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts; and
| |
Collapse
|
15
|
Bakker JP, Wang R, Weng J, Aloia MS, Toth C, Morrical MG, Gleason KJ, Rueschman M, Dorsey C, Patel SR, Ware JH, Mittleman MA, Redline S. Motivational Enhancement for Increasing Adherence to CPAP: A Randomized Controlled Trial. Chest 2016; 150:337-45. [PMID: 27018174 DOI: 10.1016/j.chest.2016.03.019] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Revised: 01/19/2016] [Accepted: 03/01/2016] [Indexed: 10/22/2022] Open
Abstract
BACKGROUND Motivational enhancement (ME) shows promise as a means of increasing adherence to CPAP for OSA. METHODS We performed an open-label, parallel-arm, randomized controlled trial of CPAP only or CPAP + ME, recruiting individuals 45 to 75 years with moderate or severe OSA without marked sleepiness and with either established cardiovascular disease (CVD) or at risk for CVD. All participants received standardized CPAP support from a sleep technologist; those randomly assigned to CPAP + ME also received standardized ME delivered by a psychologist during two appointments and six phone calls over 32 weeks. Mixed-effect models with subject-specific intercepts and slopes were fitted to compare objective CPAP adherence between arms, adjusting for follow-up duration, randomization factors, and device manufacturer. All analyses were intention-to-treat. RESULTS Overall, 83 participants (n = 42 CPAP only; n = 41 CPAP + ME) contributed 14,273 nights of data for 6 months. Participants were predominantly male (67%) and had a mean ± SD age of 63.9 ± 7.4 years, a BMI of 31.1 ± 5.2 kg/m(2), and an apnea-hypopnea index of 26.2 ± 12.9 events/h. In our fully adjusted model, average nightly adherence for 6 months was 99.0 min/night higher with CPAP + ME compared with CPAP only (P = .003; primary analysis). A subset of 52 participants remained in the study for 12 months; modeling these data yielded a consistent difference in adherence between arms of 97 min/night (P = .006) favoring CPAP + ME. CONCLUSIONS ME delivered during brief appointments and phone calls resulted in a clinically significant increase in CPAP adherence. This strategy may represent a feasible approach for optimizing management of OSA. TRIAL REGISTRY ClinicalTrials.gov; No.: NCT01261390; URL: www.clinicaltrials.gov.
Collapse
Affiliation(s)
- Jessie P Bakker
- Division of Sleep & Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
| | - Rui Wang
- Division of Sleep & Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA
| | - Jia Weng
- Division of Sleep & Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Mark S Aloia
- National Jewish Health, Denver, CO; Philips Respironics, Murrysville, PA
| | - Claudia Toth
- Division of Sleep & Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Michael G Morrical
- Division of Sleep & Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Kevin J Gleason
- Division of Sleep & Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Michael Rueschman
- Division of Sleep & Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | | | - Sanjay R Patel
- Division of Sleep & Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - James H Ware
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA
| | - Murray A Mittleman
- Department of Epidemiology, Harvard TH Chan School of Public Health and Cardiovascular Epidemiology Research Unit, Beth Israel Deaconess Medical Center, Boston, MA
| | - Susan Redline
- Division of Sleep & Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| |
Collapse
|
16
|
Talaty ER, Gomez JA, Dillon JA, Palomino E, Agho MO, Batt BC, Gleason KJ, Park S, Hernandez JR, Yusoff MM, Rupp GA, Malone FC, Brummett MF, Finch CL, Ismail SA, Williams N, Aghakhani M. Reaction of Aziridinones with Thiourea: A Novel Synthesis of Specifically Substituted Glycocyamidines and Hydantoins. SYNTHETIC COMMUN 1987. [DOI: 10.1080/00397918708078787] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
17
|
Abstract
A model for sorted patterned ground shows that some types arise from density-driven Rayleigh free convection that occurs during thawing of water-saturated recurrently frozen soils. The regularly spaced convection cells result in an uneven melting of the underlying ice front. Frost action causes stones to be upthrusted and to form in a pattern on the ground surface that mirrors the corrugation in the underlying ice front. The implications of the water circulation direction in the cells on the sorting process are considered.
Collapse
|