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Fix J, Donneyong MM, Rapp SR, Sattari M, Snively BM, Wactawski-Wende J, Gower EW. Predictors of Influenza and Pneumococcal Vaccination Among Participants in the Women's Health Initiative. Public Health Rep 2023; 138:281-291. [PMID: 35301881 PMCID: PMC10031837 DOI: 10.1177/00333549221081817] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE Older adults typically experience higher rates of severe disease and mortality than the general population after contracting an infectious disease. Vaccination is critical for preventing disease and severe downstream outcomes; however, vaccination rates among older adults are suboptimal. We assessed predictors associated with pneumococcal and seasonal influenza vaccination among older women. METHODS We used data from the Women's Health Initiative, a nationwide cohort of women. We ascertained seasonal influenza and pneumococcal vaccination status through a questionnaire administered in 2013. We limited analyses to women aged ≥65 years at questionnaire administration. We used logistic regression to estimate associations between demographic, lifestyle, and health-related factors and vaccination and explored stratification by race. RESULTS Of participants who responded to each question, 84.3% (n = 60 578) reported being vaccinated for influenza and 85.5% (n = 59 015) for pneumonia. The odds of reporting influenza vaccination were significantly lower among non-Hispanic Black participants than among non-Hispanic White participants (odds ratio [OR] = 0.53; 95% CI, 0.49-0.58), women with no health insurance versus private health insurance (OR = 0.61; 95% CI, 0.54-0.68), and women living in rural versus urban settings (OR = 0.84; 95% CI, 0.73-0.96). Current smoking, lower education levels, and having comorbid conditions were associated with lower likelihood of being vaccinated for influenza (than not); past pneumonia diagnosis and being currently married were associated with a higher likelihood. We observed similar associations for pneumococcal vaccination coverage. CONCLUSIONS These findings reinforce the need to enact policy and implement programs to improve access to, education and awareness about, and provider recommendations for these critical disease-prevention tools. Results from our study should guide strategies for SARS-CoV-2 vaccination.
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Affiliation(s)
- Jonathan Fix
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Macarius M Donneyong
- Outcomes and Translational Sciences, College of Pharmacy, The Ohio State University, Columbus, OH, USA
- Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Stephen R Rapp
- Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Maryam Sattari
- Department of Medicine, Division of General Internal Medicine, University of Florida College of Medicine, Gainesville, FL, USA
| | - Beverly M Snively
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Emily W Gower
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Whitlow CT, Atcheson KM, Snively BM, Cook JF, Kim J, Haq IU, Sweadner KJ, Ozelius LJ, Brashear A. Rapid-onset dystonia-parkinsonism is associated with reduced cerebral blood flow without gray matter changes. Front Neurol 2023; 14:1116723. [PMID: 36779071 PMCID: PMC9909223 DOI: 10.3389/fneur.2023.1116723] [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: 12/05/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023] Open
Abstract
Purpose Previous research showed discrete neuropathological changes associated with rapid-onset dystonia-parkinsonism (RDP) in brains from patients with an ATP1A3 variant, specifically in areas that mediate motor function. The purpose of this study was to determine if magnetic resonance imaging methodologies could identify differences between RDP patients and variant-negative controls in areas of the brain that mediate motor function in order to provide biomarkers for future treatment or prevention trials. Methods Magnetic resonance imaging voxel-based morphometry and arterial spin labeling were used to measure gray matter volume and cerebral blood flow, respectively, in cortical motor areas, basal ganglia, thalamus, and cerebellum, in RDP patients with ATP1A3 variants (n = 19; mean age = 37 ± 14 years; 47% female) and variant-negative healthy controls (n = 11; mean age = 34 ± 19 years; 36% female). Results We report age and sex-adjusted between group differences, with decreased cerebral blood flow among patients with ATP1A3 variants compared to variant-negative controls in the thalamus (p = 0.005, Bonferroni alpha level < 0.007 adjusted for regions). There were no statistically significant between-group differences for measures of gray matter volume. Conclusions There is reduced cerebral blood flow within brain regions in patients with ATP1A3 variants within the thalamus. Additionally, the lack of corresponding gray matter volume differences may suggest an underlying functional etiology rather than structural abnormality.
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Affiliation(s)
- Christopher T. Whitlow
- Section of Neuroradiology, Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, United States,Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, United States,Clinical and Translational Science Institute, Wake Forest University School of Medicine, Winston-Salem, NC, United States,Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States,*Correspondence: Christopher T. Whitlow ✉
| | - Kyle M. Atcheson
- Section of Neuroradiology, Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Beverly M. Snively
- Clinical and Translational Science Institute, Wake Forest University School of Medicine, Winston-Salem, NC, United States,Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Jared F. Cook
- Department of Psychiatry and Behavioral Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Jeongchul Kim
- Section of Neuroradiology, Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Ihtsham U. Haq
- Department of Neurology, University of Miami, Miami, FL, United States
| | - Kathleen J. Sweadner
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, United States
| | - Laurie J. Ozelius
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - Allison Brashear
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States
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3
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Zuber MJ, Stamilio DM, Holbrook BC, Snively BM, Jensen ET, Alexander-Miller MA. Maternal influenza vaccination preferentially boosts hemagglutinin stem-specific antibody resulting in efficient transplacental transfer of stem-specific IgG. Int J Gynaecol Obstet 2023. [PMID: 36690442 DOI: 10.1002/ijgo.14686] [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: 07/14/2022] [Accepted: 01/03/2023] [Indexed: 01/25/2023]
Abstract
OBJECTIVE The objective of this study was to evaluate hemagglutinin stem-specific antibody response to the influenza vaccine during pregnancy and its transfer to the infant. METHODS The authors assessed antibody titers among maternal participants and their paired neonate's cord blood (CB) using enzyme-linked immunoassay. Fifteen pregnant participants pre-2019 and post-2019 seasonal influenza vaccine were compared with 18 prenatally vaccinated participants with paired neonatal CB samples. Total IgG and IgG subclass titers specific for whole vaccine antigens versus recombinant hemagglutinin stem-specific antigen were compared using Wilcoxon exact test. RESULTS Hemagglutinin stem-specific IgG was boosted more robustly than whole vaccine titers when comparing postvaccine versus prevaccine log2 IgG ratios (P = 0.04). Hemagglutinin stem-specific IgG titers were boosted postvaccination (prevaccine: 14.5 [95% confidence interval, 13.8-15.2] vs. postvaccine: 16 [95% confidence interval, 15.2-16.8], P = 0.004). While IgG to whole vaccine was similar in neonatal CB and maternal plasma (P = 0.09), hemagglutinin stem-specific IgG concentrated in CB (P = 0.002), which was dominated by IgG1 subclass (analysis of variance P < 0.05). CONCLUSION These data demonstrate the ability of pregnant women to generate a more robust antibody response to the stem region compared with the head region of hemagglutinin with transplacental transfer of IgG.
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Affiliation(s)
- Matthew J Zuber
- Department of Obstetrics and Gynecology, Section of Maternal-Fetal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - David M Stamilio
- Department of Obstetrics and Gynecology, Section of Maternal-Fetal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Beth C Holbrook
- Department of Microbiology and Immunology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Beverly M Snively
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Elizabeth T Jensen
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Martha A Alexander-Miller
- Department of Microbiology and Immunology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
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4
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Munger Clary HM, Snively BM, Topaloglu U, Duncan P, Kimball J, Alexander H, Brenes GA. Patient-reported outcomes via electronic health record portal versus telephone: a pragmatic randomized pilot trial of anxiety or depression symptoms in epilepsy. JAMIA Open 2022; 5:ooac052. [PMID: 36247085 PMCID: PMC9555875 DOI: 10.1093/jamiaopen/ooac052] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 05/18/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
Objective To close gaps between research and clinical practice, tools are needed for efficient pragmatic trial recruitment and patient-reported outcome collection. The objective was to assess feasibility and process measures for patient-reported outcome collection in a randomized trial comparing electronic health record (EHR) patient portal questionnaires to telephone interview among adults with epilepsy and anxiety or depression symptoms. Materials and Methods Recruitment for the randomized trial began at an epilepsy clinic visit, with EHR-embedded validated anxiety and depression instruments, followed by automated EHR-based research screening consent and eligibility assessment. Fully eligible individuals later completed telephone consent, enrollment, and randomization. Participants were randomized 1:1 to EHR portal versus telephone outcome assessment, and patient-reported and process outcomes were collected at 3 and 6 months, with primary outcome 6-month retention in EHR arm (feasibility target: ≥11 participants retained). Results Participants (N = 30) were 60% women, 77% White/non-Hispanic, with mean age 42.5 years. Among 15 individuals randomized to EHR portal, 10 (67%, CI 41.7%-84.8%) met the 6-month retention endpoint, versus 100% (CI 79.6%-100%) in the telephone group (P = 0.04). EHR outcome collection at 6 months required 11.8 min less research staff time per participant than telephone (5.9, CI 3.3-7.7 vs 17.7, CI 14.1-20.2). Subsequent telephone contact after unsuccessful EHR attempts enabled near complete data collection and still saved staff time. Discussion In this randomized study, EHR portal outcome assessment did not meet the retention feasibility target, but EHR method saved research staff time compared to telephone. Conclusion While EHR portal outcome assessment was not feasible, hybrid EHR/telephone method was feasible and saved staff time.
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Affiliation(s)
- Heidi M Munger Clary
- Corresponding Author: Heidi M. Munger Clary, MD, MPH, Department of Neurology, Wake Forest School of Medicine, 1 Medical Center Blvd., Winston-Salem, NC 27157, USA;
| | - Beverly M Snively
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Umit Topaloglu
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Pamela Duncan
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - James Kimball
- Department of Psychiatry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Halley Alexander
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Gretchen A Brenes
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
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5
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Kelly TN, Sun X, He KY, Brown MR, Taliun SAG, Hellwege JN, Irvin MR, Mi X, Brody JA, Franceschini N, Guo X, Hwang SJ, de Vries PS, Gao Y, Moscati A, Nadkarni GN, Yanek LR, Elfassy T, Smith JA, Chung RH, Beitelshees AL, Patki A, Aslibekyan S, Blobner BM, Peralta JM, Assimes TL, Palmas WR, Liu C, Bress AP, Huang Z, Becker LC, Hwa CM, O'Connell JR, Carlson JC, Warren HR, Das S, Giri A, Martin LW, Craig Johnson W, Fox ER, Bottinger EP, Razavi AC, Vaidya D, Chuang LM, Chang YPC, Naseri T, Jain D, Kang HM, Hung AM, Srinivasasainagendra V, Snively BM, Gu D, Montasser ME, Reupena MS, Heavner BD, LeFaive J, Hixson JE, Rice KM, Wang FF, Nielsen JB, Huang J, Khan AT, Zhou W, Nierenberg JL, Laurie CC, Armstrong ND, Shi M, Pan Y, Stilp AM, Emery L, Wong Q, Hawley NL, Minster RL, Curran JE, Munroe PB, Weeks DE, North KE, Tracy RP, Kenny EE, Shimbo D, Chakravarti A, Rich SS, Reiner AP, Blangero J, Redline S, Mitchell BD, Rao DC, Ida Chen YD, Kardia SLR, Kaplan RC, Mathias RA, He J, Psaty BM, Fornage M, Loos RJF, Correa A, Boerwinkle E, Rotter JI, Kooperberg C, Edwards TL, Abecasis GR, Zhu X, Levy D, Arnett DK, Morrison AC. Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension. Hypertension 2022; 79:1656-1667. [PMID: 35652341 PMCID: PMC9593435 DOI: 10.1161/hypertensionaha.122.19324] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [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: 12/30/2022]
Abstract
BACKGROUND The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure. METHODS We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants. RESULTS Two blood pressure signals achieved genome-wide significance in meta-analyses of stage-1 and stage-2 single variant findings (P<5×10-8). Among them, a rare intergenic variant at novel locus, LOC100506274, was associated with lower systolic blood pressure in stage-1 (beta [SE]=-32.6 [6.0]; P=4.99×10-8) but not stage-2 analysis (P=0.11). Furthermore, a novel common variant at the known INSR locus was suggestively associated with diastolic blood pressure in stage-1 (beta [SE]=-0.36 [0.07]; P=4.18×10-7) and attained genome-wide significance in stage-2 (beta [SE]=-0.29 [0.03]; P=7.28×10-23). Nineteen additional signals suggestively associated with blood pressure in meta-analysis of single and aggregate rare variant findings (P<1×10-6 and P<1×10-4, respectively). DISCUSSION We report one promising but unconfirmed rare variant for blood pressure and, more importantly, contribute insights for future blood pressure sequencing studies. Our findings suggest promise of aggregate analyses to complement single variant analysis strategies and the need for larger, diverse samples, and family studies to enable robust rare variant identification.
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Affiliation(s)
- Tanika N Kelly
- Department of Epidemiology (T.N.K., X.S., X.M., Z.H., A.C.R., J.L.N., M.S., Y.P., J.H.), Tulane University, New Orleans, LA
- Translational Sciences Institute (T.N.K., J.H.), Tulane University, New Orleans, LA
| | - Xiao Sun
- Department of Epidemiology (T.N.K., X.S., X.M., Z.H., A.C.R., J.L.N., M.S., Y.P., J.H.), Tulane University, New Orleans, LA
| | - Karen Y He
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH (K.Y.H., X.Z.)
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health (M.R.B., P.D.d.V., J.E.H., E.B., A.C.M.), The University of Texas Health Science Center at Houston' Houston' TX
| | - Sarah A Gagliano Taliun
- Department of Biostatistics (S.A.G.T., S.D., H.M.K., J.L., G.R.A.), University of Michigan, Ann Arbor' MI
| | - Jacklyn N Hellwege
- Division of Genetic Medicine, Department of Medicine (J.N.H.), Vanderbilt University Medical Center, Nashville, TN
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626)/Vanderbilt University, Nashville' TN (J.N.H., A.G., A.M.H., T.L.E.)
| | - Marguerite R Irvin
- Department of Epidemiology (M.R.I., S.A., N.D.A.), University of Alabama at Birmingham' AL
| | - Xuenan Mi
- Department of Epidemiology (T.N.K., X.S., X.M., Z.H., A.C.R., J.L.N., M.S., Y.P., J.H.), Tulane University, New Orleans, LA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine (J.A.B., K.E.N.), University of Washington, Seattle' WA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill (N.F.)
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance' CA (X.G., Y.-D.I.C., J.I.R., D.L.)
| | - Shih-Jen Hwang
- National Heart, Lung and Blood Institute, Population Sciences Branch, National Institutes of Health, Framingham, MA (S.-J.H.)
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health (M.R.B., P.D.d.V., J.E.H., E.B., A.C.M.), The University of Texas Health Science Center at Houston' Houston' TX
| | - Yan Gao
- Department of Physiology and Biophysics (Y.G., E.E.K., R.J.F.L.), University of Mississippi Medical Center, Jackson' MS
| | - Arden Moscati
- The Charles Bronfman Institute for Personalized Medicine (A.M., G.N.N.), The Icahn School of Medicine at Mount Sinai, New York, NY
| | - Girish N Nadkarni
- The Charles Bronfman Institute for Personalized Medicine (A.M., G.N.N.), The Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Medicine (G.N.N.), The Icahn School of Medicine at Mount Sinai, New York, NY
| | - Lisa R Yanek
- Division of General Internal Medicine, Department of Medicine (L.R.Y., D.V.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Tali Elfassy
- Division of Epidemiology, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami' FL (T.E.)
| | - Jennifer A Smith
- Department of Epidemiology (J.A.S., S.L.R.K.), University of Michigan, Ann Arbor' MI
| | - Ren-Hua Chung
- Institute of Population Sciences, National Health Research Institutes, Taiwan (R.-H.C.)
| | - Amber L Beitelshees
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore' MD (A.L.B., J.R.O., Y.-P.C.C., M.E.M., B.D.M.)
| | - Amit Patki
- Department of Biostatistics (A.P., V.S.), University of Alabama at Birmingham' AL
| | - Stella Aslibekyan
- Department of Epidemiology (M.R.I., S.A., N.D.A.), University of Alabama at Birmingham' AL
| | - Brandon M Blobner
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services (B.M.P.), University of Washington, Seattle' WA
- Department of Human Genetics (B.M.B., R.L.M., D.E.W.), University of Pittsburgh, PA
| | - Juan M Peralta
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville' TX (J.M.P., J.E.C., J.B.)
| | - Themistocles L Assimes
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford' CA (T.L.A.)
- Division of Cardiology Medicine, Palo Alto VA HealthCare System, Palo Alto' CA (T.L.A.)
| | - Walter R Palmas
- Division of General Medicine, Department of Medicine, Columbia University, New York, NY (W.R.P.)
| | - Chunyu Liu
- Department of Biostatistics, Boston University, Boston' MA (C.L.)
| | - Adam P Bress
- Division of Health System Innovation and Research, Department of Population Health Sciences, University of Utah School of Medicine, Salt Lake City' UT (A.P.B.)
| | - Zhijie Huang
- Department of Epidemiology (T.N.K., X.S., X.M., Z.H., A.C.R., J.L.N., M.S., Y.P., J.H.), Tulane University, New Orleans, LA
| | - Lewis C Becker
- Division of Cardiology, Department of Medicine (L.C.B.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Chii-Min Hwa
- Taichung Veterans General Hospital, Taichung, Taiwan (C.-M.H.)
| | - Jeffrey R O'Connell
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore' MD (A.L.B., J.R.O., Y.-P.C.C., M.E.M., B.D.M.)
| | - Jenna C Carlson
- Department of Biostatistics, Graduate School of Public Health (J.C.C.), University of Pittsburgh, PA
| | - Helen R Warren
- Department of Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry (H.R.W., P.B.M.), Queen Mary University of London, United Kingdom
- National Institute for Health Research Barts Cardiovascular Biomedical Research Centre (H.R.W., P.B.M.), Queen Mary University of London, United Kingdom
| | - Sayantan Das
- Department of Biostatistics (S.A.G.T., S.D., H.M.K., J.L., G.R.A.), University of Michigan, Ann Arbor' MI
| | - Ayush Giri
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626)/Vanderbilt University, Nashville' TN (J.N.H., A.G., A.M.H., T.L.E.)
- Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt University, Nashville, TN (A.G.)
| | - Lisa W Martin
- Division of Cardiology, Department of Medicine, George Washington University, Washington, DC (L.W.M.)
| | - W Craig Johnson
- Department of Biostatistics, School of Public Health (W.C.J., D.J., B.D.H., K.M.R., F.F.E., A.T.K., C.C.L., A.M.S., L.E., Q.W.), University of Washington, Seattle' WA
| | - Ervin R Fox
- Division of Cardiology, Department of Medicine (E.R.F.), University of Mississippi Medical Center, Jackson' MS
| | - Erwin P Bottinger
- Hasso Plattner Institute for Digital Health at Mount Sinai (E.P.B.), The Icahn School of Medicine at Mount Sinai, New York, NY
| | - Alexander C Razavi
- Department of Epidemiology (T.N.K., X.S., X.M., Z.H., A.C.R., J.L.N., M.S., Y.P., J.H.), Tulane University, New Orleans, LA
| | - Dhananjay Vaidya
- Division of General Internal Medicine, Department of Medicine (L.R.Y., D.V.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Lee-Ming Chuang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei' Taiwan (L.-M.C.)
| | - Yen-Pei C Chang
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore' MD (A.L.B., J.R.O., Y.-P.C.C., M.E.M., B.D.M.)
| | - Take Naseri
- Ministry of Health, Government of Samoa, Apia' Samoa (T.N.)
| | - Deepti Jain
- Department of Biostatistics, School of Public Health (W.C.J., D.J., B.D.H., K.M.R., F.F.E., A.T.K., C.C.L., A.M.S., L.E., Q.W.), University of Washington, Seattle' WA
| | - Hyun Min Kang
- Department of Biostatistics (S.A.G.T., S.D., H.M.K., J.L., G.R.A.), University of Michigan, Ann Arbor' MI
| | - Adriana M Hung
- Division of Nephrology and Hypertension, Department of Medicine (A.M.H.), Vanderbilt University Medical Center, Nashville, TN
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626)/Vanderbilt University, Nashville' TN (J.N.H., A.G., A.M.H., T.L.E.)
| | | | - Beverly M Snively
- Division of Public Health Sciences, Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC (B.M.S.)
| | - Dongfeng Gu
- Department of Epidemiology and Key Laboratory of Cardiovascular Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (D.G., J.H.)
| | - May E Montasser
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore' MD (A.L.B., J.R.O., Y.-P.C.C., M.E.M., B.D.M.)
| | | | - Benjamin D Heavner
- Department of Biostatistics, School of Public Health (W.C.J., D.J., B.D.H., K.M.R., F.F.E., A.T.K., C.C.L., A.M.S., L.E., Q.W.), University of Washington, Seattle' WA
| | - Jonathon LeFaive
- Department of Biostatistics (S.A.G.T., S.D., H.M.K., J.L., G.R.A.), University of Michigan, Ann Arbor' MI
| | - James E Hixson
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health (M.R.B., P.D.d.V., J.E.H., E.B., A.C.M.), The University of Texas Health Science Center at Houston' Houston' TX
| | - Kenneth M Rice
- Department of Biostatistics, School of Public Health (W.C.J., D.J., B.D.H., K.M.R., F.F.E., A.T.K., C.C.L., A.M.S., L.E., Q.W.), University of Washington, Seattle' WA
| | - Fei Fei Wang
- Department of Biostatistics, School of Public Health (W.C.J., D.J., B.D.H., K.M.R., F.F.E., A.T.K., C.C.L., A.M.S., L.E., Q.W.), University of Washington, Seattle' WA
| | - Jonas B Nielsen
- Department of Internal Medicine: Cardiology (J.B.N.), University of Michigan, Ann Arbor' MI
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (J.B.N.)
| | - Jianfeng Huang
- Translational Sciences Institute (T.N.K., J.H.), Tulane University, New Orleans, LA
- Department of Epidemiology and Key Laboratory of Cardiovascular Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (D.G., J.H.)
| | - Alyna T Khan
- Department of Biostatistics, School of Public Health (W.C.J., D.J., B.D.H., K.M.R., F.F.E., A.T.K., C.C.L., A.M.S., L.E., Q.W.), University of Washington, Seattle' WA
| | - Wei Zhou
- Department of Computational Medicine and Bioinformatics (W.Z.), University of Michigan, Ann Arbor' MI
| | - Jovia L Nierenberg
- Department of Epidemiology (T.N.K., X.S., X.M., Z.H., A.C.R., J.L.N., M.S., Y.P., J.H.), Tulane University, New Orleans, LA
| | - Cathy C Laurie
- Department of Biostatistics, School of Public Health (W.C.J., D.J., B.D.H., K.M.R., F.F.E., A.T.K., C.C.L., A.M.S., L.E., Q.W.), University of Washington, Seattle' WA
| | - Nicole D Armstrong
- Department of Epidemiology (M.R.I., S.A., N.D.A.), University of Alabama at Birmingham' AL
| | - Mengyao Shi
- Department of Epidemiology (T.N.K., X.S., X.M., Z.H., A.C.R., J.L.N., M.S., Y.P., J.H.), Tulane University, New Orleans, LA
| | - Yang Pan
- Department of Epidemiology (T.N.K., X.S., X.M., Z.H., A.C.R., J.L.N., M.S., Y.P., J.H.), Tulane University, New Orleans, LA
| | - Adrienne M Stilp
- Department of Biostatistics, School of Public Health (W.C.J., D.J., B.D.H., K.M.R., F.F.E., A.T.K., C.C.L., A.M.S., L.E., Q.W.), University of Washington, Seattle' WA
| | - Leslie Emery
- Department of Biostatistics, School of Public Health (W.C.J., D.J., B.D.H., K.M.R., F.F.E., A.T.K., C.C.L., A.M.S., L.E., Q.W.), University of Washington, Seattle' WA
| | - Quenna Wong
- Department of Biostatistics, School of Public Health (W.C.J., D.J., B.D.H., K.M.R., F.F.E., A.T.K., C.C.L., A.M.S., L.E., Q.W.), University of Washington, Seattle' WA
| | - Nicola L Hawley
- Department of Chronic Disease Epidemiology, Yale University, New Haven, CT (N.L.H.)
| | - Ryan L Minster
- Department of Human Genetics (B.M.B., R.L.M., D.E.W.), University of Pittsburgh, PA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville' TX (J.M.P., J.E.C., J.B.)
| | - Patricia B Munroe
- Department of Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry (H.R.W., P.B.M.), Queen Mary University of London, United Kingdom
- National Institute for Health Research Barts Cardiovascular Biomedical Research Centre (H.R.W., P.B.M.), Queen Mary University of London, United Kingdom
| | - Daniel E Weeks
- Department of Human Genetics (B.M.B., R.L.M., D.E.W.), University of Pittsburgh, PA
- Department of Biostatistics (D.E.W.), University of Pittsburgh, PA
| | - Kari E North
- Cardiovascular Health Research Unit, Department of Medicine (J.A.B., K.E.N.), University of Washington, Seattle' WA
| | - Russell P Tracy
- Department of Pathology & Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington' VT (R.P.T.)
| | - Eimear E Kenny
- Department of Physiology and Biophysics (Y.G., E.E.K., R.J.F.L.), University of Mississippi Medical Center, Jackson' MS
- Department of Genetics and Genomics (E.E.K.), The Icahn School of Medicine at Mount Sinai, New York, NY
| | - Daichi Shimbo
- Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY (D.S.)
| | - Aravinda Chakravarti
- Department of Medicine (A.C.), University of Mississippi Medical Center, Jackson' MS
| | - Stephen S Rich
- Center for Public Health, University of Virginia, Charlottesville' VA (S.S.R.)
| | - Alex P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA (A.P.R., C.K.)
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville' TX (J.M.P., J.E.C., J.B.)
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA (S.R.)
| | - Braxton D Mitchell
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore' MD (A.L.B., J.R.O., Y.-P.C.C., M.E.M., B.D.M.)
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore' MD (B.D.M.)
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R.)
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance' CA (X.G., Y.-D.I.C., J.I.R., D.L.)
| | - Sharon L R Kardia
- Department of Epidemiology (J.A.S., S.L.R.K.), University of Michigan, Ann Arbor' MI
| | - Robert C Kaplan
- Division of Social Medicine, Albert Einstein College of Medicine, Bronx, NY (R.C.K.)
| | - Rasika A Mathias
- Division of Allergy & Clinical Immunology, Department of Medicine (R.A.M.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jiang He
- Department of Epidemiology (T.N.K., X.S., X.M., Z.H., A.C.R., J.L.N., M.S., Y.P., J.H.), Tulane University, New Orleans, LA
| | - Bruce M Psaty
- Department of Epidemiology (T.N.K., X.S., X.M., Z.H., A.C.R., J.L.N., M.S., Y.P., J.H.), Tulane University, New Orleans, LA
- Kaiser Permanente Washington Health Research Institute, Seattle' WA (B.M.P.)
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine (M.F.), The University of Texas Health Science Center at Houston' Houston' TX
- Human Genetics Center (M.F.), The University of Texas Health Science Center at Houston' Houston' TX
| | - Ruth J F Loos
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance' CA (X.G., Y.-D.I.C., J.I.R., D.L.)
- The Mindich Child Health and Development Institute (R.J.F.L.), The Icahn School of Medicine at Mount Sinai, New York, NY
| | - Adolfo Correa
- Center for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, NY (A.C.)
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health (M.R.B., P.D.d.V., J.E.H., E.B., A.C.M.), The University of Texas Health Science Center at Houston' Houston' TX
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (E.B.)
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance' CA (X.G., Y.-D.I.C., J.I.R., D.L.)
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA (A.P.R., C.K.)
| | - Todd L Edwards
- Division of Epidemiology, Department of Medicine (T.L.E.), Vanderbilt University Medical Center, Nashville, TN
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626)/Vanderbilt University, Nashville' TN (J.N.H., A.G., A.M.H., T.L.E.)
| | - Gonçalo R Abecasis
- Department of Biostatistics (S.A.G.T., S.D., H.M.K., J.L., G.R.A.), University of Michigan, Ann Arbor' MI
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH (K.Y.H., X.Z.)
| | - Daniel Levy
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance' CA (X.G., Y.-D.I.C., J.I.R., D.L.)
| | - Donna K Arnett
- College of Public Health, University of Kentucky, Lexington, KY (D.K.A.)
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health (M.R.B., P.D.d.V., J.E.H., E.B., A.C.M.), The University of Texas Health Science Center at Houston' Houston' TX
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6
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He KY, Kelly TN, Wang H, Liang J, Zhu L, Cade BE, Assimes TL, Becker LC, Beitelshees AL, Bielak LF, Bress AP, Brody JA, Chang YPC, Chang YC, de Vries PS, Duggirala R, Fox ER, Franceschini N, Furniss AL, Gao Y, Guo X, Haessler J, Hung YJ, Hwang SJ, Irvin MR, Kalyani RR, Liu CT, Liu C, Martin LW, Montasser ME, Muntner PM, Mwasongwe S, Naseri T, Palmas W, Reupena MS, Rice KM, Sheu WHH, Shimbo D, Smith JA, Snively BM, Yanek LR, Zhao W, Blangero J, Boerwinkle E, Chen YDI, Correa A, Cupples LA, Curran JE, Fornage M, He J, Hou L, Kaplan RC, Kardia SLR, Kenny EE, Kooperberg C, Lloyd-Jones D, Loos RJF, Mathias RA, McGarvey ST, Mitchell BD, North KE, Peyser PA, Psaty BM, Raffield LM, Rao DC, Redline S, Reiner AP, Rich SS, Rotter JI, Taylor KD, Tracy R, Vasan RS, Morrison AC, Levy D, Chakravarti A, Arnett DK, Zhu X. Rare coding variants in RCN3 are associated with blood pressure. BMC Genomics 2022; 23:148. [PMID: 35183128 PMCID: PMC8858539 DOI: 10.1186/s12864-022-08356-4] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 02/01/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND While large genome-wide association studies have identified nearly one thousand loci associated with variation in blood pressure, rare variant identification is still a challenge. In family-based cohorts, genome-wide linkage scans have been successful in identifying rare genetic variants for blood pressure. This study aims to identify low frequency and rare genetic variants within previously reported linkage regions on chromosomes 1 and 19 in African American families from the Trans-Omics for Precision Medicine (TOPMed) program. Genetic association analyses weighted by linkage evidence were completed with whole genome sequencing data within and across TOPMed ancestral groups consisting of 60,388 individuals of European, African, East Asian, Hispanic, and Samoan ancestries. RESULTS Associations of low frequency and rare variants in RCN3 and multiple other genes were observed for blood pressure traits in TOPMed samples. The association of low frequency and rare coding variants in RCN3 was further replicated in UK Biobank samples (N = 403,522), and reached genome-wide significance for diastolic blood pressure (p = 2.01 × 10- 7). CONCLUSIONS Low frequency and rare variants in RCN3 contributes blood pressure variation. This study demonstrates that focusing association analyses in linkage regions greatly reduces multiple-testing burden and improves power to identify novel rare variants associated with blood pressure traits.
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Affiliation(s)
- Karen Y He
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Wolstein Research Building, 2103 Cornell Road, Cleveland, OH, 44106, USA
| | - Tanika N Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Jingjing Liang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Wolstein Research Building, 2103 Cornell Road, Cleveland, OH, 44106, USA
| | - Luke Zhu
- Center for Human Genetics & Genomics, New York University Grossman School of Medicine, New York, NY, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Themistocles L Assimes
- Department of Medicine (Division of Cardiovascular Medicine), Stanford University, Palo Alto, CA, USA
| | - Lewis C Becker
- GeneSTAR Research Program, Department of Medicine, Divisions of Cardiology and General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Amber L Beitelshees
- Division of Endocrinology, Diabetes, and Nutrition, Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Adam P Bress
- Department of Population Health Sciences, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Yen-Pei Christy Chang
- Division of Endocrinology, Diabetes, and Nutrition, Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Yi-Cheng Chang
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei City, Taiwan
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Ervin R Fox
- Division of Cardiovascular Diseases, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Nora Franceschini
- Department of Epidemiology, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Anna L Furniss
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, USA
| | - Yan Gao
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yi-Jen Hung
- Institute of Preventive Medicine, National Defense Medical Center, New Taipei City, Taiwan
| | - Shih-Jen Hwang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
- Framingham Heart Study, National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Marguerite Ryan Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AB, USA
| | - Rita R Kalyani
- GeneSTAR Research Program, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ching-Ti Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
- Framingham Heart Study, National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Chunyu Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
- Framingham Heart Study, National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Lisa Warsinger Martin
- Division of Cardiology, Department of Medicine, George Washington University, Washington, DC, USA
| | - May E Montasser
- Division of Endocrinology, Diabetes, and Nutrition, Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Paul M Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AB, USA
| | | | - Take Naseri
- Ministry of Health, Government of Samoa, Apia, Samoa
| | - Walter Palmas
- Division of Cardiology, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Kenneth M Rice
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Wayne H-H Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung City, Taiwan
| | - Daichi Shimbo
- Division of Cardiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Beverly M Snively
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Lisa R Yanek
- GeneSTAR Research Program, Department of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center Professor of Pediatrics, UCLA, Torrance, CA, USA
| | - Adolfo Correa
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, USA
| | - L Adrienne Cupples
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
- Framingham Heart Study, National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Myriam Fornage
- 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
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University Chicago, Evanston, IL, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Donald Lloyd-Jones
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rasika A Mathias
- GeneSTAR Research Program, Department of Medicine, Divisions of Allergy and Clinical Immunology and General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Stephen T McGarvey
- International Health Institute and Department of Epidemiology, School of Public Health, Brown University, Providence, RI, USA
- Department of Anthropology, Brown University, Providence, RI, USA
| | - Braxton D Mitchell
- Division of Endocrinology, Diabetes, and Nutrition, Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Veterans Affairs Medical Center, Baltimore, MD, USA
| | - Kari E North
- Department of Epidemiology, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - D C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 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
| | - Alex P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Russell Tracy
- Department of Pathology & Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Biochemistry, University of Vermont, Burlington, VT, USA
| | - Ramachandran S Vasan
- Framingham Heart Study, National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Department of Medicine, School of Medicine, Boston University, Boston, MA, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Daniel Levy
- Framingham Heart Study, National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Aravinda Chakravarti
- Center for Human Genetics & Genomics, New York University Grossman School of Medicine, New York, NY, USA
| | - Donna K Arnett
- University of Kentucky College of Public Health, Lexington, KY, USA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Wolstein Research Building, 2103 Cornell Road, Cleveland, OH, 44106, USA.
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7
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Ongchuan Martin S, Sadeghifar F, Snively BM, Alexander H, Kimball J, Conner K, O'Donovan CA, Munger Clary HM. Positive anxiety or depression screen despite ongoing antidepressant prescription in people with epilepsy: A large cross-sectional analysis. Epilepsy Behav Rep 2022; 20:100572. [PMID: 36411879 PMCID: PMC9674492 DOI: 10.1016/j.ebr.2022.100572] [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: 07/23/2022] [Revised: 10/30/2022] [Accepted: 11/05/2022] [Indexed: 11/09/2022] Open
Abstract
Purpose While antidepressants are recommended to manage anxiety or depression in epilepsy, limited effectiveness data exist in real-world epilepsy samples, and prior work indicated frequent positive screens despite antidepressant prescription. In response, this study evaluates factors associated with positive anxiety or depression screen during ongoing antidepressant prescription. Methods Clinical and sociodemographic characteristics were collected among consecutive adult epilepsy clinic patients completing validated anxiety and depression instruments. The sample was divided by presence vs absence of existing antidepressant prescription at time of screening. Among those on an antidepressant, multivariable logistic regression was performed on pre-selected characteristics to evaluate for association with positive anxiety and/or depression screen. Pre-selected characteristics included: antidepressant dose, antidepressant prescriber specialty, antiseizure medications (number, potential psychotropic effects), seizure frequency, employment, visit no-shows, and medical insurance. Results Of 563 people with epilepsy, 152 had evidence of antidepressant prescription at time of screening and 73/152(48%) had positive anxiety and/or depression screen. Multivariable modeling demonstrated low antidepressant dose and no-show visit(s) were associated with positive screens (adjusted OR 2.29, CI 1.00-5.48 and 3.11, 1.26-8.22 respectively). Conclusion Low antidepressant dose and factors potentially associated with adherence (visit no-shows) may contribute to persistent anxiety and/or depression among epilepsy patients on an antidepressant.
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Affiliation(s)
| | - Fatemeh Sadeghifar
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Beverly M Snively
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Halley Alexander
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - James Kimball
- Department of Psychiatry, Wake Forest Unversity School of Medicine, Winston-Salem, NC, USA
| | - Kelly Conner
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Cormac A O'Donovan
- Department of Neurology and Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Heidi M Munger Clary
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
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8
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Lutz MW, Brown MM, Kucgibhatla M, Plassman BL, Saldana S, Snively BM, Chen J, Henderson V, Manson JE, Pal L, Shadyab AH, Rapp SR, Hayden KM. Analysis of pleiotropic genetic effects on cognitive decline and systemic inflammation in the Women’s Health Initiative Memory Study. Alzheimers Dement 2021. [DOI: 10.1002/alz.050784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | | | | | - Brenda L Plassman
- Department of Psychiatry Duke University Medical Center Durham NC USA
| | | | | | | | | | - JoAnn E. Manson
- Department of Preventive Medicine Brigham and Women's Hospital Harvard Medical School Boston MA USA
| | - Lubna Pal
- Yale School of Medicine New Haven CT USA
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science University of California San Diego La Jolla CA USA
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9
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Kelley ME, Urban JE, Jones DA, Davenport EM, Miller LE, Snively BM, Powers AK, Whitlow CT, Maldjian JA, Stitzel JD. Analysis of longitudinal head impact exposure and white matter integrity in returning youth football players. J Neurosurg Pediatr 2021:1-10. [PMID: 34130257 PMCID: PMC10193468 DOI: 10.3171/2021.1.peds20586] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 01/11/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The objective of this study was to characterize changes in head impact exposure (HIE) across multiple football seasons and to determine whether changes in HIE correlate with changes in imaging metrics in youth football players. METHODS On-field head impact data and pre- and postseason imaging data, including those produced by diffusion tensor imaging (DTI), were collected from youth football athletes with at least two consecutive seasons of data. ANCOVA was used to evaluate HIE variations (number of impacts, peak linear and rotational accelerations, and risk-weighted cumulative exposure) by season number. DTI scalar metrics, including fractional anisotropy, mean diffusivity, and linear, planar, and spherical anisotropy coefficients, were evaluated. A control group was used to determine the number of abnormal white matter voxels, which were defined as 2 standard deviations above or below the control group mean. The difference in the number of abnormal voxels between consecutive seasons was computed for each scalar metric and athlete. Linear regression analyses were performed to evaluate relationships between changes in HIE metrics and changes in DTI scalar metrics. RESULTS There were 47 athletes with multiple consecutive seasons of HIE, and corresponding imaging data were available in a subsample (n = 19) of these. Increases and decreases in HIE metrics were observed among individual athletes from one season to the next, and no significant differences (all p > 0.05) in HIE metrics were observed by season number. Changes in the number of practice impacts, 50th percentile impacts per practice session, and 50th percentile impacts per session were significantly positively correlated with changes in abnormal voxels for all DTI metrics. CONCLUSIONS These results demonstrate a significant positive association between changes in HIE metrics and changes in the numbers of abnormal voxels between consecutive seasons of youth football. Reducing the number and frequency of head impacts, especially during practice sessions, may decrease the number of abnormal imaging findings from one season to the next in youth football.
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Affiliation(s)
- Mireille E. Kelley
- Departments of Biomedical Engineering
- Virginia Tech–Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina; and
| | - Jillian E. Urban
- Departments of Biomedical Engineering
- Virginia Tech–Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina; and
| | - Derek A. Jones
- Departments of Biomedical Engineering
- Virginia Tech–Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina; and
| | | | - Logan E. Miller
- Departments of Biomedical Engineering
- Virginia Tech–Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina; and
| | | | | | - Christopher T. Whitlow
- Departments of Biomedical Engineering
- Radiology (Neuroradiology), and
- Clinical and Translational Sciences Institute, Wake Forest School of Medicine, Winston-Salem
| | - Joseph A. Maldjian
- Department of Radiology, University of Texas Southwestern, Dallas, Texas
| | - Joel D. Stitzel
- Departments of Biomedical Engineering
- Virginia Tech–Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina; and
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10
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Campos CL, Jones D, Snively BM, Rocco M, Pedley C, Atwater S, Moore JB. Text Messaging and Home Blood Pressure Monitoring for Patients with Uncontrolled Hypertension: Proposal for a Feasibility Pilot Randomized Controlled Trial. JMIR Res Protoc 2021; 10:e18984. [PMID: 33988513 PMCID: PMC8164117 DOI: 10.2196/18984] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Revised: 09/15/2020] [Accepted: 02/24/2021] [Indexed: 01/13/2023] Open
Abstract
Background A decrease in blood pressure, even modestly (ie, 2 mmHg), lowers cardiovascular morbidity and mortality. Low patient adherence to antihypertensive medication is the most significant modifiable patient-related barrier to achieving controlled blood pressure. Preliminary studies have shown that SMS text messaging and home blood pressure monitoring (HBPM) can be effective in promoting medication adherence and blood pressure control. The best strategy to engage with older patients of low socioeconomic status who are low adopters of technology and disproportionally affected by uncontrolled hypertension is still unknown. Objective The objective of this study is to improve blood pressure control in the older, low socioeconomic status population. The study will test two aims: First, we aim to evaluate the feasibility of conducting a randomized controlled trial by using an SMS-based approach among nonadherent, older patients of low socioeconomic status who have uncontrolled hypertension. Feasibility will be assessed in terms of recruitment rates per month (primary outcome); patient acceptability will be evaluated by monitoring retention rates and SMS response rates and using the validated Systems Usability Scale (secondary outcomes). Second, we aim to estimate the effects of the SMS approach on lowering blood pressure and adherence to antihypertensive medications. Methods We will recruit 24 patients of low socioeconomic status with uncontrolled hypertension (systolic BP>140 mmHg or diastolic BP>90 mmHg) showing low medication adherence and taking at least two antihypertensives, who have presented to two outpatient clinics of Wake Forest Baptist Health (Winston Salem, North Carolina, USA). Participants will be randomly assigned to either SMS and HBPM (n=12) or usual care and HBPM (n=12) intervention. Clinicians adjusting the patients’ medications will be blinded to the study assignment. Text messages will be sent from a secure platform to assess medication adherence and HBPM on a weekly basis. The content and delivery frequency of the proposed SMS intervention are based on input from three focus groups conducted in Spring 2019. Participants in both study arms will receive education on HBPM and using an HBPM device. We hypothesize that we will successfully recruit 24 participants and the intervention will be acceptable to the participants. It will also improve medication adherence (assessed by question Medication Adherence Questionnaire scores) and blood pressure control. Results Our study was funded in July 2020. As of May 2021, we have enrolled 6 participants. Conclusions Our findings will help design a larger efficacy trial to advance the field of eHealth delivery systems particularly for older adults of low socioeconomic status. This study addresses a highly significant topic and targets a population of high morbidity and mortality that has been traditionally underrepresented in clinical trials. Trial Registration ClinicalTrials.gov NCT03596242; https://clinicaltrials.gov/ct2/show/NCT03596242 International Registered Report Identifier (IRRID) PRR1-10.2196/18984
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Affiliation(s)
- Claudia L Campos
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Deanna Jones
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Beverly M Snively
- Department of Biostatistics and Data Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Michael Rocco
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Carolyn Pedley
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Sara Atwater
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Justin B Moore
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States.,Department of Implementation Science, Wake Forest School of Medicine, Winston-Salem, NC, United States
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11
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Munger Clary HM, Wan M, Conner K, Brenes GA, Kimball J, Kim E, Duncan P, Snively BM. Examining brief and ultra-brief anxiety and depression screening methods in a real-world epilepsy clinic sample. Epilepsy Behav 2021; 118:107943. [PMID: 33839449 PMCID: PMC8477167 DOI: 10.1016/j.yebeh.2021.107943] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 03/10/2021] [Accepted: 03/18/2021] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Recent epilepsy quality measure recommendations for depression and anxiety screening endorse ultra-brief screeners, the Patient Health Questionnaire-2 (PHQ-2) and Generalized Anxiety Disorder-2 (GAD-2). Thus, it is important to assess how symptom detection may be affected using ultra-brief screeners compared with slightly longer, well-validated instruments: Neurological Disorders Depression Inventory-Epilepsy (NDDI-E) and Generalized Anxiety Disorder-7 (GAD-7). The objective was to compare symptom detection by brief versus ultra-brief depression and anxiety screeners in a large real-world epilepsy clinic sample. METHODS This was a prospective, cross-sectional assessment of consecutive patients in an adult tertiary epilepsy practice who completed the GAD-7 and NDDI-E with embedded ultra-brief scales (GAD-2; GAD-Single Item: GAD-SI; NDDI-E 2 item: NDDIE-2) on a tablet and had clinic staff administered ultra-brief PHQ-2 (yes/no version) documented in the medical record at the same visit. Prevalences of positive anxiety and depression screens were calculated for each instrument overall, and by epilepsy status. Concordance correlation coefficients (CCC) were calculated comparing the ultra-brief with brief anxiety and depression instruments, and receiver operating curves (ROC) were calculated using the longer instruments as alternative standards. RESULTS Among N = 422 individuals the prevalence of positive anxiety screen by GAD-7 was 24% and positive depression screen by NDDI-E was 20%. Positive anxiety and depression screens were significantly less prevalent among seizure-free individuals than those with continued seizures. The verbally administered yes/no PHQ-2 had only 1 positive screen (0.2%). Other than poor concordance between the PHQ-2 and NDDI-E, the screener pairs had acceptable concordance (CCC 0.79 to 0.92). Areas under the ROC curves were acceptable for the NDDIE-2, GAD-2 and GAD-SI (0.96, 0.98, and 0.89, respectively). SIGNIFICANCE In this sample, clinic staff interview-administered yes/no PHQ-2 had exceedingly low sensitivity compared with the NDDI-E self-reported on a tablet. Further investigation is warranted to assess if poor detection is due to characteristics of this PHQ-2 in epilepsy samples, or method of administration in this clinic. The other ultra-brief anxiety and depression instruments demonstrated good concordance with the longer, well-validated instruments and may be useful in clinical practice.
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Affiliation(s)
- Heidi M Munger Clary
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Mingyu Wan
- Wake Forest University, Neuroscience Graduate Program, USA.
| | - Kelly Conner
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Gretchen A Brenes
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - James Kimball
- Department of Psychiatry, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Esther Kim
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Pamela Duncan
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Beverly M Snively
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA.
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12
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Munger Clary HM, Croxton RD, Snively BM, Brenes GA, Lovato J, Sadeghifar F, Kimball J, O'Donovan C, Conner K, Kim E, Allan J, Duncan P. Neurologist prescribing versus psychiatry referral: Examining patient preferences for anxiety and depression management in a symptomatic epilepsy clinic sample. Epilepsy Behav 2021; 114:107543. [PMID: 33246893 PMCID: PMC7855561 DOI: 10.1016/j.yebeh.2020.107543] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 09/18/2020] [Accepted: 09/28/2020] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Anxiety and depression symptoms in epilepsy are common, impactful and under-recognized and undertreated. While prior survey data suggests equipoise among epileptologists for managing anxiety and/or depression via prescribing in the epilepsy clinic versus psychiatry referral, patient preferences are unknown and should potentially influence practice habits among epileptologists. Thus, the primary objective of this study was to determine patient preference for anxiety and/or depression prescribing by neurologists versus psychiatry referral among an adult epilepsy clinic sample of symptomatic patients. METHODS Management preferences for anxiety and/or depression were surveyed in an adult tertiary care epilepsy clinic. Individuals who screened positive for anxiety and/or depression symptoms on validated instruments during a routine care-embedded learning health system study were recruited. Demographics, social variables, psychiatric treatment history, and treatment priorities and preferences were surveyed. Preference was defined as a slightly greater than 2:1 ratio in favor neurology prescribing or psychiatry referral. The study was powered to assess this primary objective using a two-sample binomial test. Multinomial logistic regression examined an a priori multivariable model of treatment preference (secondary objective). RESULTS The study sample included N = 63 symptomatic adults, with 64% women and mean age 42.2 years. Most reported past or current treatment for anxiety and/or depression, and treatment for these symptoms was a high or moderate priority among 65.1% of the sample. Neurologist prescribing was preferred in 83.0% (nearly 5:1) over psychiatry referral among those who chose neurology or psychiatry (as opposed to neither of the two; p < 0.001, 95% CI 0.702-0.919). Overall, 69.8% of the total study sample preferred neurology prescribing. Multivariable modeling indicated preference for neither management option (compared with neurologist prescribing) was associated with low overall treatment prioritization and having never received neurologist medication management. None of the factors examined in the a priori multivariable model were associated with selecting psychiatry referral (compared to neurologist prescribing). CONCLUSION In this sample, most patients indicated a preference for neurologists to prescribe for anxiety or depression symptoms in the epilepsy clinic. Care models involving neurologist prescribing for anxiety and depression symptoms merit further investigation and potential adoption in clinical practice.
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Affiliation(s)
- Heidi M Munger Clary
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Rachel D Croxton
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Beverly M Snively
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Gretchen A Brenes
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - James Lovato
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Fatemeh Sadeghifar
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - James Kimball
- Department of Psychiatry, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Cormac O'Donovan
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Kelly Conner
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Esther Kim
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Jonathan Allan
- Department of Psychiatry, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Pamela Duncan
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
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13
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Moya-Mendez ME, Madden LL, Ruckart KW, Downes KM, Cook JF, Snively BM, Brashear A, Haq IU. Auditory-perceptual voice and speech evaluation in ATP1A3 positive patients. J Clin Neurosci 2020; 81:133-138. [PMID: 33222902 PMCID: PMC7683823 DOI: 10.1016/j.jocn.2020.09.007] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 07/27/2020] [Accepted: 09/06/2020] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Bulbar symptoms are frequent in patients with rapid-onset dystonia-parkinsonism (RDP). RDP is caused by ATP1A3 mutations, with onset typically within 30 days of stressor exposure. Most patients have impairments in speech (dysarthria) and voice (dysphonia). These have not been quantified. We aimed to formally characterize these in RDP subjects as compared to mutation negative family controls. METHODS We analyzed recordings in 32 RDP subjects (male = 21, female = 11) and 29 mutation negative controls (male = 15, female = 14). Three raters, blinded to mutation status, rated speech and vocal quality. Dysarthria was classified by subtype. Dysphonia was rated via the GRBAS (Grade, Roughness, Breathiness, Asthenia, Strain) scale. We used general neurological exams and the Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) to assess dysarthria, dystonia, and speech/swallowing dysfunction. RESULTS The presence of dysarthria was more frequent in RDP subjects compared to controls (72% vs. 17%, p < 0.0001). GRBAS voice ratings were worse in the RDP cohort across nearly all categories. Dysarthria in RDP was associated with concordant cranial nerve 9-11 dysfunction (54%, p = 0.048), speech/swallowing dysfunction (96%, p = 0.0003); and oral dystonia (88%, p = 0.001). CONCLUSIONS Quantitative voice and speech analyses are important in assessing RDP. Subjects frequently experience dysarthria and dysphonia. Dystonia is not the exclusive voice abnormality present in this population. In our analysis, RDP subjects more frequently experienced bulbar symptoms than controls. GRBAS scores are useful in quantifying voice impairment, potentially allowing for better assessments of progression or treatment effects. Future directions include using task-specific diagnostic and perceptual voice evaluation tools to further assess laryngeal dystonia.
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Affiliation(s)
- Mary E Moya-Mendez
- Department of Neurology Duke University School of Medicine Durham, North Carolina, United States
| | - Lyndsay L Madden
- Department of Otolaryngology-Head and Neck Surgery, Wake Forest School of Medicine Winston-Salem, NC, United States
| | - Kathryn W Ruckart
- Department of Otolaryngology-Head and Neck Surgery, Wake Forest School of Medicine Winston-Salem, NC, United States
| | - Karen M Downes
- Department of Otolaryngology-Head and Neck Surgery, Wake Forest School of Medicine Winston-Salem, NC, United States
| | - Jared F Cook
- Department of Psychology, Wake Forest School of Medicine Winston-Salem, NC, United States
| | - Beverly M Snively
- Department of Biostatistics and Data Science, Wake Forest School of Medicine Winston-Salem, NC, United States
| | - Allison Brashear
- Department of Neurology, University of California at Davis, Sacramento, CA, United States
| | - Ihtsham U Haq
- Department of Neurology, Wake Forest School of Medicine Winston-Salem, NC, United States.
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14
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Prentice RL, Aragaki AK, Chlebowski RT, Zhao S, Anderson GL, Rossouw JE, Wallace R, Banack H, Shadyab AH, Qi L, Snively BM, Gass M, Manson JE. Dual-Outcome Intention-to-Treat Analyses in the Women's Health Initiative Randomized Controlled Hormone Therapy Trials. Am J Epidemiol 2020; 189:972-981. [PMID: 32314781 PMCID: PMC7443766 DOI: 10.1093/aje/kwaa033] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [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: 07/15/2019] [Revised: 12/20/2019] [Accepted: 01/16/2020] [Indexed: 01/03/2023] Open
Abstract
Dual-outcome intention-to-treat hazard rate analyses have potential to complement single-outcome analyses for the evaluation of treatments or exposures in relation to multivariate time-to-response outcomes. Here we consider pairs formed from important clinical outcomes to obtain further insight into influences of menopausal hormone therapy on chronic disease. As part of the Women's Health Initiative, randomized, placebo-controlled hormone therapy trials of conjugated equine estrogens (CEE) among posthysterectomy participants and of these same estrogens plus medroxyprogesterone acetate (MPA) among participants with an intact uterus were carried out at 40 US clinical centers (1993-2016). These data provide the context for analyses covering the trial intervention periods and a nearly 20-year (median) cumulative duration of follow-up. The rates of multiple outcome pairs were significantly influenced by hormone therapy, especially over cumulative follow-up, providing potential clinical and mechanistic insights. For example, among women randomized to either regimen, hazard ratios for pairs defined by fracture during intervention followed by death from any cause were reduced and hazard ratios for pairs defined by gallbladder disease followed by death were increased, though these findings may primarily reflect single-outcome associations. In comparison, hazard ratios for diabetes followed by death were reduced with CEE but not with CEE + MPA, and those for hypertension followed by death were increased with CEE + MPA but not with CEE.
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Affiliation(s)
- Ross L Prentice
- Correspondence to Dr. Ross L. Prentice, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, P.O. Box 19024, Seattle, WA 98109-1024 (e-mail: )
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15
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Prentice RL, Aragaki AK, Chlebowski RT, Zhao S, Anderson GL, Rossouw JE, Wallace R, Banack H, Shadyab AH, Qi L, Snively BM, Gass M, Manson JE. Prentice et al. Respond to "Studying Co-Occurrence of Multiple Outcomes". Am J Epidemiol 2020; 189:985-986. [PMID: 32314786 PMCID: PMC7443756 DOI: 10.1093/aje/kwaa032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 02/28/2020] [Accepted: 03/02/2020] [Indexed: 11/12/2022] Open
Affiliation(s)
- Ross L Prentice
- Correspondence to Dr. Ross L. Prentice, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, P.O. Box 19024, Seattle, WA 98109-1024 (e-mail: )
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16
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Munger Clary HM, Kimball J, Brenes G, O’Donovan C, Snively BM, Duncan P. Reply to Braillon. Epilepsy Behav 2020; 107:107049. [PMID: 32253146 PMCID: PMC9396821 DOI: 10.1016/j.yebeh.2020.107049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 03/09/2020] [Indexed: 11/15/2022]
Affiliation(s)
- Heidi M. Munger Clary
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - James Kimball
- Department of Psychiatry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Gretchen Brenes
- Department of Internal Medicine, Section of Geriatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Cormac O’Donovan
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Beverly M. Snively
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Pamela Duncan
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
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17
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Hayden KM, Gaussoin SA, Hunter JC, Manson JE, Sachs BC, Shadyab AH, Tindle HA, Mossavar-Rahmani Y, Mozhui K, Snively BM, Rapp SR, Resnick SM. Cognitive resilience among APOE ε4 carriers in the oldest old. Int J Geriatr Psychiatry 2019; 34:1833-1844. [PMID: 31418472 PMCID: PMC7143252 DOI: 10.1002/gps.5199] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 08/11/2019] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Relatively few APOE ε4+ carriers survive to old age (age 80+) without cognitive impairment (CI); thus, little is known about distinguishing characteristics of resilient APOE ε4+ carriers. Herein, we describe the sociodemographic characteristics of a large sample of resilient APOE ε4+ women from the Women's Health Initiative Memory Study (WHIMS) and compare them to noncarriers and APOE ε4+ women who developed CI before age 80. METHODS Women were recruited for clinical trials evaluating postmenopausal hormone therapy and incidence of dementia. During posttrial follow-up, cognitive status was adjudicated annually. Among 5716 women, we compared groups by APOE ε4 status using logistic regression, covarying for treatment, demographics, lifestyle, cardiovascular and physical function, well-being, and self-rated general health. RESULTS Among 557 APOE ε4+ women, those who survived to age 80+ without CI had higher baseline self-rated general health (odds ratio [OR]: 1.02; 95% confidence interval [CI], 1.01-1.04) and cognitive scores (OR: 1.18; 95% CI, 1.12-1.25) than those who did not reach age 80 without CI. Baseline high total cholesterol and low-density lipoprotein (LDL) levels were similar across APOE ε4+ groups but were higher compared with APOE ε4- women. Among women who survived to 80+ without CI, more APOE ε4+ women had a history of high total cholesterol (P = .003) and LDL cholesterol (OR: 1.01; 95% CI, 1.00-1.01). There were no differences in hypertension, diabetes, or other vascular risk factors in APOE ε4+ women compared with noncarriers. CONCLUSIONS Results highlight the importance of baseline cognitive function and general health for late-life cognition among ε4+ women.
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Affiliation(s)
- Kathleen M Hayden
- Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Sarah A Gaussoin
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jaimie C Hunter
- Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Bonnie C Sachs
- Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA,Department of Internal Medicine, Section on Geriatrics and Gerontology, Wake Forest School of Medicine, Winston-Salem, NC, USA,Department of Neurology, Wake Forest School of Medicine Winston-Salem, NC, USA
| | - Aladdin H Shadyab
- Department of Family Medicine and Public Health, University of California San Diego School of Medicine, La Jolla, CA, USA
| | - Hilary A Tindle
- Vanderbilt University Medical Center, Geriatric Research Education and Clinical Centers (GRECC), Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN, USA
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Khyobeni Mozhui
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Beverly M Snively
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Stephen R Rapp
- Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA,Department of Psychiatry & Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
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18
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Gaussoin SA, Espeland MA, Beavers DP, Casanova R, Garcia KR, Snively BM, Shumaker SA, Wallace RB, Rapp SR. Dementia outcomes after addition of proxy-based assessments for deceased or proxy-dependent participants. Int J Geriatr Psychiatry 2019; 34:1403-1411. [PMID: 31034676 PMCID: PMC6742525 DOI: 10.1002/gps.5130] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 04/20/2019] [Indexed: 11/09/2022]
Abstract
OBJECTIVES As people age and the incidence of dementia increases, studies of cognitive function continue to be of importance. Ascertaining cognitive data through different mechanisms is necessary to address missing data concerns. METHODS The Dementia Questionnaire (DQ), which utilizes proxy-based assessments, is a potential tool to determine cognitive status in participants no longer being followed per traditional study protocol. The DQ is currently being used in the Supplemental Case Ascertainment Protocol (SCAP), which is being conducted in an ongoing study of postmenopausal women as part of the Women's Health Initiative Memory Study (WHIMS). RESULTS Ninety-four percent of the 1260 SCAP participants were eligible because of being deceased. Those who are SCAP eligible were older, were less likely to be a minority, and were more likely to have hypertension, diabetes, and prior history of cardiovascular disease (CVD) as well as being a past or current smoker. SCAP added 109 cases of probable dementia to WHIMS. Risk factor relationships were modified upon inclusion of the SCAP cases including an attenuation of a hormone therapy effect and discovery of a hypertension effect. CONCLUSIONS Augmenting clinic-based cases with proxy-based assessments is feasible and leads to increased incident cases of dementia. When planning future clinical trials, it may be of study benefit to include a protocol of proxy-based assessments, develop strong relationships with proxies early on in the study, and attempt to maintain this relationship throughout the lifespan of the trial.
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Affiliation(s)
- Sarah A. Gaussoin
- Department of Biostatistics and Data Science, University of Iowa College of Public Health, Iowa Ciy, IA
| | - Mark A. Espeland
- Department of Biostatistics and Data Science, University of Iowa College of Public Health, Iowa Ciy, IA
| | - Daniel P. Beavers
- Department of Biostatistics and Data Science, University of Iowa College of Public Health, Iowa Ciy, IA
| | - Ramon Casanova
- Department of Biostatistics and Data Science, University of Iowa College of Public Health, Iowa Ciy, IA
| | - Katelyn R. Garcia
- Department of Biostatistics and Data Science, University of Iowa College of Public Health, Iowa Ciy, IA
| | - Beverly M. Snively
- Department of Biostatistics and Data Science, University of Iowa College of Public Health, Iowa Ciy, IA
| | - Sally A. Shumaker
- Department of Social Sciences and Health Policy, University of Iowa College of Public Health, Iowa Ciy, IA
| | - Robert B. Wallace
- Department of Epidemiology, University of Iowa College of Public Health, Iowa Ciy, IA
| | - Stephen R. Rapp
- Department of Social Sciences and Health Policy, University of Iowa College of Public Health, Iowa Ciy, IA,Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, NC
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19
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Danhauer SC, Brenes GA, Levine BJ, Young L, Tindle HA, Addington EL, Wallace RB, Naughton MJ, Garcia L, Safford M, Kim MM, LeBlanc ES, Snively BM, Snetselaar LG, Shumaker S. Variability in sleep disturbance, physical activity and quality of life by level of depressive symptoms in women with Type 2 diabetes. Diabet Med 2019; 36:1149-1157. [PMID: 30552780 PMCID: PMC6571069 DOI: 10.1111/dme.13878] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/13/2018] [Indexed: 12/20/2022]
Abstract
AIMS To examine (1) the prevalence of depressive symptoms in women with Type 2 diabetes, (2) the associations between depressive symptoms and the following dependent variables: sleep disturbance; physical activity; physical health-related; and global quality of life, and (3) the potential moderating effects of antidepressants and optimism on the relationship between depressive symptoms and dependent variables. METHODS Participants in the Women's Health Initiative who had Type 2 diabetes and data on depressive symptoms (N=8895) were included in the analyses. In multivariable linear regression models controlling for sociodemographic, medical and psychosocial covariates, we examined the main effect of depressive symptoms, as well as the interactions between depressive symptoms and antidepressant use, and between depressive symptoms and optimism, on sleep disturbance, physical activity, physical health-related quality of life; and global quality of life. RESULTS In all, 16% of women with Type 2 diabetes reported elevated depressive symptoms. In multivariable analyses, women with depressive symptoms had greater sleep disturbance (P<0.0001) and lower global quality of life (P<.0001). We found evidence of significant statistical interaction in the models for quality-of-life outcomes: the increased risk of poor physical health-related quality of life associated with antidepressant use was stronger in women without vs with depressive symptoms, and the association between greater optimism and higher global quality of life was stronger in women with vs without depressive symptoms. CONCLUSIONS To improve health behaviours and quality of life in women with Type 2 diabetes, sociodemographic and medical characteristics may identify at-risk populations, while psychosocial factors including depression and optimism may be important targets for non-pharmacological intervention.
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Affiliation(s)
- S C Danhauer
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston Salem, NC
| | - G A Brenes
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston Salem, NC
| | - B J Levine
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston Salem, NC
| | - L Young
- Department of Medicine, Division of Endocrinology and Metabolism, Section on Gerontology and Geriatric Medicine, UNC School of Medicine, Chapel Hill, NC
| | - H A Tindle
- Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - E L Addington
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - R B Wallace
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA
| | - M J Naughton
- Division of Cancer Prevention and Control, Department of Internal Medicine, The Ohio State University, Columbus, OH
| | - L Garcia
- Department of Public Health Sciences, University of California Davis School of Medicine, Davis, CA
| | - M Safford
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - M M Kim
- Center for Biobehavioral Health Disparities Research, Department of Community and Family Medicine, Duke University, Durham, NC
| | - E S LeBlanc
- Kaiser Permanente Center for Health Research NW, Portland, OR, USA
| | - B M Snively
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, WinstonSalem, NC, USA
| | - L G Snetselaar
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA
| | - S Shumaker
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston Salem, NC
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20
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Haq IU, Snively BM, Sweadner KJ, Suerken CK, Cook JF, Ozelius LJ, Miller C, McCall WV, Whitlow CT, Brashear A. Revising rapid-onset dystonia-parkinsonism: Broadening indications for ATP1A3 testing. Mov Disord 2019; 34:1528-1536. [PMID: 31361359 DOI: 10.1002/mds.27801] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 06/10/2019] [Accepted: 06/28/2019] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Rapid-onset dystonia-parkinsonism (RDP) is caused by mutations in the ATP1A3 gene, which codes for the α-3 subunit of the Na+ /K+ ATPase. It has been characterized by rapid-onset bulbar dysfunction, limb dystonia, bradykinesia, and a rostrocaudal spatial gradient of expression, usually after a physiologic trigger. We reexamined whether these features were in fact characteristic. METHODS We characterized phenotypic variation within a cohort of 50 ATP1A3 mutation-positive individuals (carriers) and 44 mutation-negative family members (noncarriers). Potential participants were gathered through referral for clinical suspicion of RDP or alternating hemiplegia of childhood. Inclusion criteria were having a ATP1A3 mutation or being a family member of such an individual. RESULTS We found RDP is underdiagnosed if only "characteristic" patients are tested. Rapid onset and bulbar predominance were not universally present in carriers. Among those with at least mild symptoms of dystonia, rostrocaudal severity gradient was rare (7%). Symptoms began focally but progressed to be generalized (51%) or multifocal (49%). Arm (41%) onset was most common. Arms and voice were typically most severely affected (48% and 44%, respectively). Triggers preceded onset in 77% of the participants. Rapid onset, dystonia, parkinsonism, bulbar symptoms, headaches, seizures, frontal impairment, and a history of mood disorder and a history of psychosis were more common in carriers. Approximately half of the proband mutations occurred de novo (56%). CONCLUSIONS Our findings suggest that patients should not be excluded from ATP1A3 testing because of slow onset, limb onset, absent family history, or onset in middle adulthood. RDP should be strongly considered in the differential for any bulbar dystonia. © 2019 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Ihtsham U Haq
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Beverly M Snively
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Kathleen J Sweadner
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Cynthia K Suerken
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jared F Cook
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Laurie J Ozelius
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Charlotte Miller
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - William V McCall
- Department of Psychiatry and Health Behavior, Medical College of Georgia August University, Augusta, Georgia, USA
| | - Christopher T Whitlow
- Department of Radiology, Section of Neuroradiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Allison Brashear
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
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21
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Ira D, Snively BM, Espeland MA, Shumaker SA, Rapp SR, Goveas JS, Casanova RL, Jean WW, Manson JE, Rebecca R, Janet B, Hernandez DG, Singleton AB, Resnick SM. A candidate gene study of risk for dementia in older, postmenopausal women: Results from the Women's Health Initiative Memory Study. Int J Geriatr Psychiatry 2019; 34:692-699. [PMID: 30706571 PMCID: PMC6608707 DOI: 10.1002/gps.5068] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 08/18/2018] [Indexed: 11/09/2022]
Abstract
OBJECTIVE While a number of single nucleotide polymorphisms (SNPs) associated with Alzheimer's disease (AD) or cognitive impairment have been identified, independent replications remain the only way to validate proposed signals. We investigated SNPs in candidate genes associated with either cognitive impairment or AD pathogenesis and their relationships with probable dementia (PD) in the Women's Health Initiative Memory Study (WHIMS). METHODS We analyzed 96 SNPs across five genes (APOE/TOMM40, BDNF, COMT, SORL1, and KIBRA) in 2857 women (ages ≥65) from the WHIMS randomized trials of hormone therapy using a custom Illumina GoldenGate assay; 19% of the sample were MCI (N = 165) or PD (N = 387), and the remaining 81% were free of cognitive impairment. SNP associations were evaluated for PD in non-Hispanic whites adjusting for age and HT using logistic regression under an additive genetic model. RESULTS One SNP (rs157582), located in the TOMM40 gene nearby APOE, was associated with the PD phenotype based on a P value accounting for multiple comparisons. An additional 12 SNPs were associated with the PD phenotype at P ≤ 0.05 (APOE: rs405509, rs439401; TOMM40: rs8106922, and KIBRA: rs4320284, rs11740112, rs10040267, rs13171394, rs6555802, rs2241368, rs244904, rs6555805, and rs10475878). Results of the sensitivity analyes excluding MCI were similar, with addition of COMT rs737865 and BDNF rs1491850 (P ≤ 0.05). CONCLUSIONS Our results in older women provide supporting evidence that the APOE/TOMM40 genes confer dementia risk and extend these findings to COMT, BDNF, and KIBRA. Our findings may lead to a better understanding of the role these genes play in cognition and cognitive impairment.
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Affiliation(s)
- Driscoll Ira
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI,Correspondence: Ira Driscoll, PhD, University of Wisconsin-Milwaukee, 224 Garland Hall; Psychology Department, 2441 E Hartford Ave, Milwaukee, WI 53211, Phone: 414 229-6665,
| | - Beverly M Snively
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Mark A Espeland
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Sally A Shumaker
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC
| | - Stephen R Rapp
- Departments of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Joseph S Goveas
- Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, WI
| | - Ramon L Casanova
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Wactawski-Wende Jean
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI,Department of Epidemiology and Environmental Health, University of Buffalo, Buffalo, NY
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Rossom Rebecca
- HealthPartners Institute for Education and Research, Minneapolis, MN
| | - Brooks Janet
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD
| | - Dena G Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD
| | | | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD
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22
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He KY, Li X, Kelly TN, Liang J, Cade BE, Assimes TL, Becker LC, Beitelshees AL, Bress AP, Chang YPC, Chen YDI, de Vries PS, Fox ER, Franceschini N, Furniss A, Gao Y, Guo X, Haessler J, Hwang SJ, Irvin MR, Kalyani RR, Liu CT, Liu C, Martin LW, Montasser ME, Muntner PM, Mwasongwe S, Palmas W, Reiner AP, Shimbo D, Smith JA, Snively BM, Yanek LR, Boerwinkle E, Correa A, Cupples LA, He J, Kardia SLR, Kooperberg C, Mathias RA, Mitchell BD, Psaty BM, Vasan RS, Rao DC, Rich SS, Rotter JI, Wilson JG, Chakravarti A, Morrison AC, Levy D, Arnett DK, Redline S, Zhu X. Leveraging linkage evidence to identify low-frequency and rare variants on 16p13 associated with blood pressure using TOPMed whole genome sequencing data. Hum Genet 2019; 138:199-210. [PMID: 30671673 PMCID: PMC6404531 DOI: 10.1007/s00439-019-01975-0] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Accepted: 01/10/2019] [Indexed: 01/05/2023]
Abstract
In this study, we investigated low-frequency and rare variants associated with blood pressure (BP) by focusing on a linkage region on chromosome 16p13. We used whole genome sequencing (WGS) data obtained through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program on 395 Cleveland Family Study (CFS) European Americans (CFS-EA). By analyzing functional coding variants and non-coding rare variants with CADD score > 10 residing within the chromosomal region in families with linkage evidence, we observed 25 genes with nominal statistical evidence (burden or SKAT p < 0.05). One of the genes is RBFOX1, an evolutionarily conserved RNA-binding protein that regulates tissue-specific alternative splicing that we previously reported to be associated with BP using exome array data in CFS. After follow-up analysis of the 25 genes in ten independent TOPMed studies with individuals of European, African, and East Asian ancestry, and Hispanics (N = 29,988), we identified variants in SLX4 (p = 2.19 × 10-4) to be significantly associated with BP traits when accounting for multiple testing. We also replicated the associations previously reported for RBFOX1 (p = 0.007). Follow-up analysis with GTEx eQTL data shows SLX4 variants are associated with gene expression in coronary artery, multiple brain tissues, and right atrial appendage of the heart. Our study demonstrates that linkage analysis of family data can provide an efficient approach for detecting rare variants associated with complex traits in WGS data.
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Affiliation(s)
- Karen Y. He
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Xiaoyin Li
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Tanika N. Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA
| | - Jingjing Liang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, 02115, USA,Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | | | - Lewis C. Becker
- GeneSTAR Research Program, Department of Medicine, Divisions of Cardiology and General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Amber L. Beitelshees
- Division of Endocrinology Diabetes and Nutrition, Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Adam P. Bress
- Department of Population Health Sciences, University of Utah School of Medicine, Salt Lake City, UT, 84132, USA
| | - Yen-Pei Christy Chang
- Division of Endocrinology Diabetes and Nutrition, Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Paul S. de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Ervin R. Fox
- Division of Cardiovascular Diseases, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Nora Franceschini
- Department of Epidemiology, UNC Gillings School of Global Public Health, Chapel Hill, NC, 27599, USA
| | - Anna Furniss
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Yan Gao
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Shih-Jen Hwang
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, 01702, USA
| | - Marguerite Ryan Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AB, 35294, USA
| | - Rita R. Kalyani
- GeneSTAR Research Program, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Ching-Ti Liu
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, 01702, USA
| | - Chunyu Liu
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, 01702, USA
| | - Lisa Warsinger Martin
- Division of Cardiology, Department of Medicine, George Washington University, Washington, DC, 20052, USA
| | - May E. Montasser
- Division of Endocrinology Diabetes and Nutrition, Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Paul M. Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AB, 35294, USA
| | | | - Walter Palmas
- Division of General Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Alex P. Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, 98195, USA
| | - Daichi Shimbo
- Division of General Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Beverly M. Snively
- Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, 27101, USA
| | - Lisa R. Yanek
- GeneSTAR Research Program, Department of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA,Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Adolfo Correa
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - L. Adrienne Cupples
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, 01702, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Rasika A. Mathias
- GeneSTAR Research Program, Department of Medicine, Divisions of Allergy and Clinical Immunology and General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Braxton D. Mitchell
- Division of Endocrinology Diabetes and Nutrition, Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA,Geriatrics Research and Education Clinical Center, Veterans Affairs Medical Center, Baltimore, MD, 21201, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, 98195, USA,Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Ramachandran S. Vasan
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, 01702, USA
| | - DC Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | | | - Aravinda Chakravarti
- Center for Human Genetics & Genomics, Department of Medicine, New York University Langone Health, New York, NY, 10016, USA
| | - Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Daniel Levy
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, 01702, USA,Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Donna K. Arnett
- University of Kentucky College of Public Health, Lexington, KY, 40508, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, 02115, USA,Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA,Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA,Correspondence: Xiaofeng Zhu, PhD; ; Phone: (216) 368-0201
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23
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Munger Clary HM, Snively BM, Hamberger MJ. Anxiety is common and independently associated with clinical features of epilepsy. Epilepsy Behav 2018; 85:64-71. [PMID: 29908386 PMCID: PMC6093217 DOI: 10.1016/j.yebeh.2018.05.024] [Citation(s) in RCA: 20] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 05/12/2018] [Accepted: 05/12/2018] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The objective of this study was to assess for independent association of anxiety symptoms with epilepsy localization and other epilepsy-related and demographic factors in a large tertiary care adult epilepsy population. METHODS Among 540 adults, anxiety was measured by the Symptom Checklist 90-R (SCL-90R) anxiety subscale, and detailed demographics, epilepsy localization, and depression scores (SCL-90R) were collected. High anxiety was defined by SCL-90R anxiety T-score ≥ 60. Stepwise multiple logistic regression was carried out to assess for independent association of high anxiety scores with demographic and clinical factors. RESULTS High anxiety symptoms were present in 46.1% of participants (N = 250). Focal or unknown epilepsy type and depression scores were independently associated with high anxiety (adjusted odds ratios (OR): 2.89 (95% confidence interval [CI] = 1.33-6.29, p = 0.007) and 2.12 (95% CI = 1.83-2.45, p < 0.001), respectively; depression odds per 5-point increase in scale). Among the focal epilepsy subpopulation, mesial temporal sclerosis was also independently associated with high anxiety, with adjusted OR: 2.12 (95% CI = 1.11-4.04, p = 0.023). Lower education, non-white race/ethnicity, Spanish native language, prior head trauma, antiseizure drug polytherapy, and left focus or bilateral foci (in focal epilepsy) were associated with high anxiety in simple logistic regression, but these associations were not independent. A total of 46 individuals (18.4% of those with high anxiety) scored high for anxiety but not depression. Only 26% of those with high anxiety symptoms were taking a potentially anxiolytic medication. CONCLUSION Anxiety symptoms, often without concomitant depression, were highly prevalent in this epilepsy sample and independently associated with focal/unknown epilepsy and mesial temporal sclerosis. These results strongly support the value of screening specifically for anxiety in the epilepsy clinic, to direct patients to appropriate treatment.
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Affiliation(s)
- Heidi M. Munger Clary
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, U.S.A
| | - Beverly M. Snively
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, U.S.A
| | - Marla J. Hamberger
- Department of Neurology, Columbia University Medical Center, New York, New York, U.S.A
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24
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Hayden KM, Gaussoin SA, Hunter JC, Manson JE, Sachs BC, Shadyab AH, Tindle H, Mossavar-Rahmani Y, Mozhui K, Snively BM, Rapp SR, Resnick SM. P1‐632: CHARACTERISTICS OF COGNITIVE RESILIENCE IN
APOE
ε4 CARRIERS AGED 80 AND OLDER: THE WOMEN'S HEALTH INITIATIVE MEMORY STUDY. Alzheimers Dement 2018. [DOI: 10.1016/j.jalz.2018.06.644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Susan M. Resnick
- National Institute on Aging/National Institutes of HealthBaltimoreMDUSA
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25
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Washburn LK, Nixon PA, Snively BM, Russell GB, Shaltout HA, South AM, O’Shea TM. Antenatal corticosteroids and cardiometabolic outcomes in adolescents born with very low birth weight. Pediatr Res 2017; 82:697-703. [PMID: 28574979 PMCID: PMC5599338 DOI: 10.1038/pr.2017.133] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Accepted: 05/24/2017] [Indexed: 01/01/2023]
Abstract
BackgroundExposure to antenatal corticosteroids (ANCS) is associated with adverse cardiometabolic outcomes in animal models; however, long-term outcomes in clinical studies are not well characterized. We hypothesized that exposure to ANCS would be associated with markers of increased cardiometabolic risk in adolescents born with very low birth weight (VLBW).MethodsIn an observational cohort of 186 14-year-old adolescents born with VLBW, we measured resting blood pressure (BP), BP response to cold, ambulatory BP, and anthropometrics; performed dual-energy X-ray absorptiometry; and analyzed blood samples for uric acid, cholesterol, glycated hemoglobin, and high-sensitivity C-reactive protein. Multivariate analyses were used to evaluate associations with ANCS, adjusting for race, sex, and maternal hypertensive pregnancy.ResultsThere were no ANCS group differences in BP measures or blood biomarkers. Compared with adolescents unexposed to ANCS, those exposed to ANCS were taller (exposed-unexposed mean difference 3.1 cm (95% confidence interval (CI) 0.7, 5.5)) and had decreased waist-to-height ratio (exposed-unexposed mean difference -0.03 (95% CI -0.058, -0.002)). Males exposed to ANCS had lower total cholesterol (exposed-unexposed mean difference -0.54 mmol/l (95%CI -0.83, -0.06)).ConclusionAmong adolescents born with VLBW, ANCS exposure was not associated with markers of increased cardiometabolic risk.
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Affiliation(s)
- Lisa K. Washburn
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC,Hypertension and Vascular Research Center, Wake Forest School of Medicine, Winston-Salem, NC
| | - Patricia A. Nixon
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC,Health and Exercise Science, Wake Forest University, Winston-Salem, NC
| | - Beverly M. Snively
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Gregory B. Russell
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Hossam A. Shaltout
- Department of Obstetrics and Gynecology, Wake Forest School of Medicine, Winston-Salem, NC,Hypertension and Vascular Research Center, Wake Forest School of Medicine, Winston-Salem, NC,Department of Pharmacology and Toxicology, School of Pharmacy, University of Alexandria, Alexandria, Egypt
| | - Andrew M. South
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC,Hypertension and Vascular Research Center, Wake Forest School of Medicine, Winston-Salem, NC
| | - T. Michael O’Shea
- Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC
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26
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Mozhui K, Snively BM, Rapp SR, Wallace RB, Williams RW, Johnson KC. Genetic Analysis of Mitochondrial Ribosomal Proteins and Cognitive Aging in Postmenopausal Women. Front Genet 2017; 8:127. [PMID: 28983317 PMCID: PMC5613226 DOI: 10.3389/fgene.2017.00127] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Accepted: 09/04/2017] [Indexed: 11/24/2022] Open
Abstract
Genes encoding mitochondrial ribosomal proteins (MRPs) have been linked to aging and longevity in model organisms (i.e., mice, Caenorhabditis elegans). Here we evaluated if the MRPs have conserved effects on aging traits in humans. We utilized data from 4,504 participants of the Women's Health Initiative Memory Study (WHIMS) who had both longitudinal cognitive data and genetic data. Two aging phenotypes were considered: (1) gross lifespan (time to all-cause mortality), and (2) cognitive aging (longitudinal rate of change in modified mini-mental state scores). We tested genetic association with variants in 78 members of the MRP gene family. Genetic association tests were done at the single nucleotide polymorphism (SNP) level, and at gene-set level using two distinct procedures (GATES and MAGMA). We included SNPs in APOE and adjusted the tests for the APOE-ε4 allele, a known risk factor for dementia. The strongest association signal is for the known cognitive aging SNP, rs429358, in APOE (p-value = 5 × 10−28 for cognitive aging; p-value = 0.03 for survival). We found no significant association between the MRPs and survival time. For cognitive aging, we detected SNP level association for rs189661478 in MRPL23 (p-value < 9 × 10−6). Furthermore, the gene-set analysis showed modest but significant association between the MRP family and cognitive aging. In conclusion, our results indicate a potential pathway-level association between the MRPs and cognitive aging that is independent of the APOE locus. We however did not detect association between the MRPs and lifespan.
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Affiliation(s)
- Khyobeni Mozhui
- Department of Preventive Medicine, University of Tennessee Health Science CenterMemphis, TN, United States.,Department of Genetics, Genomics and Informatics, University of Tennessee Health Science CenterMemphis, TN, United States
| | - Beverly M Snively
- Department of Biostatistical Sciences, Wake Forest University School of MedicineWinston-Salem, NC, United States
| | - Stephen R Rapp
- Department of Psychiatry and Behavioral Medicine, Wake Forest University School of MedicineWinston-Salem, NC, United States
| | - Robert B Wallace
- Department of Epidemiology, University of Iowa College of Public HealthIowa City, IA, United States
| | - Robert W Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science CenterMemphis, TN, United States
| | - Karen C Johnson
- Department of Preventive Medicine, University of Tennessee Health Science CenterMemphis, TN, United States
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27
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Weaver KE, Snively BM, Hogan P, Josephs K, Johnson KC, Coday M, Progovac AM, Cirillo DJ, Ockene JK, Tindle HA. Predictors of Continued Smoking and Interest in Cessation Among Older Female Smokers. J Aging Health 2017; 30:624-640. [PMID: 28553800 DOI: 10.1177/0898264316687622] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [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: 11/17/2022]
Abstract
OBJECTIVES Older female smokers are highly vulnerable, yet little is known about their attitudes, beliefs, and behaviors regarding smoking cessation. METHODS Southeast region Women's Health Initiative participants identified as smokers on at least one prior assessment were surveyed in 2012 regarding current tobacco use. RESULTS Most of these current and former smokers ( N = 409, 63% response) were non-Hispanic White (81.7%) and had some college (80%), with mean age of 75.1 years. Current smoking was confirmed by 56%, and while 61% of these reported a past-year quit attempt, less than half used quit aids. Of current smokers, 57.5% intended to quit within 6 months (26.6% within 30 days), and 68% were interested in joining a cessation study. CONCLUSIONS Older female smokers were highly motivated to quit, yet profoundly underutilized proven quit aids. Results support high acceptability of cessation interventions for this undertreated population.
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Affiliation(s)
| | | | - Patricia Hogan
- 1 Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - Karen C Johnson
- 3 University of Tennessee Health Science Center, Memphis, USA
| | - Mace Coday
- 3 University of Tennessee Health Science Center, Memphis, USA
| | - Ana M Progovac
- 4 Harvard Medical School, Boston, MA, USA.,5 Cambridge Health Alliance, Cambridge, MA, USA
| | - Dominic J Cirillo
- 6 University of Rochester School of Medicine and Dentistry and Department of Epidemiology, NY, USA.,7 University of Iowa College of Public Health, Rochester, NY, USA
| | - Judith K Ockene
- 8 University of Massachusetts Medical School, Worcester, USA
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28
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van Rooij FJ, Qayyum R, Smith AV, Zhou Y, Trompet S, Tanaka T, Keller MF, Chang LC, Schmidt H, Yang ML, Chen MH, Hayes J, Johnson AD, Yanek LR, Mueller C, Lange L, Floyd JS, Ghanbari M, Zonderman AB, Jukema JW, Hofman A, van Duijn CM, Desch KC, Saba Y, Ozel AB, Snively BM, Wu JY, Schmidt R, Fornage M, Klein RJ, Fox CS, Matsuda K, Kamatani N, Wild PS, Stott DJ, Ford I, Slagboom PE, Yang J, Chu AY, Lambert AJ, Uitterlinden AG, Franco OH, Hofer E, Ginsburg D, Hu B, Keating B, Schick UM, Brody JA, Li JZ, Chen Z, Zeller T, Guralnik JM, Chasman DI, Peters LL, Kubo M, Becker DM, Li J, Eiriksdottir G, Rotter JI, Levy D, Grossmann V, Patel KV, Chen CH, Ridker PM, Tang H, Launer LJ, Rice KM, Li-Gao R, Ferrucci L, Evans MK, Choudhuri A, Trompouki E, Abraham BJ, Yang S, Takahashi A, Kamatani Y, Kooperberg C, Harris TB, Jee SH, Coresh J, Tsai FJ, Longo DL, Chen YT, Felix JF, Yang Q, Psaty BM, Boerwinkle E, Becker LC, Mook-Kanamori DO, Wilson JG, Gudnason V, O'Donnell CJ, Dehghan A, Cupples LA, Nalls MA, Morris AP, Okada Y, Reiner AP, Zon LI, Ganesh SK, Ganesh SK. Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis. Am J Hum Genet 2017; 100:51-63. [PMID: 28017375 DOI: 10.1016/j.ajhg.2016.11.016] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Accepted: 11/16/2016] [Indexed: 11/26/2022] Open
Abstract
Genome-wide association studies (GWASs) have identified loci for erythrocyte traits in primarily European ancestry populations. We conducted GWAS meta-analyses of six erythrocyte traits in 71,638 individuals from European, East Asian, and African ancestries using a Bayesian approach to account for heterogeneity in allelic effects and variation in the structure of linkage disequilibrium between ethnicities. We identified seven loci for erythrocyte traits including a locus (RBPMS/GTF2E2) associated with mean corpuscular hemoglobin and mean corpuscular volume. Statistical fine-mapping at this locus pointed to RBPMS at this locus and excluded nearby GTF2E2. Using zebrafish morpholino to evaluate loss of function, we observed a strong in vivo erythropoietic effect for RBPMS but not for GTF2E2, supporting the statistical fine-mapping at this locus and demonstrating that RBPMS is a regulator of erythropoiesis. Our findings show the utility of trans-ethnic GWASs for discovery and characterization of genetic loci influencing hematologic traits.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Santhi K Ganesh
- Division of Cardiovascular Medicine, Department of Internal Medicine, Department of Human Genetics, University of Michigan, 1500 E. Medical Center Drive, Ann Arbor, MI 48109, USA.
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29
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Jorgensen MJ, Lambert KR, Breaux SD, Baker KC, Snively BM, Weed JL. Pair housing of Vervets/African Green Monkeys for biomedical research. Am J Primatol 2017; 79:1-10. [PMID: 26539878 PMCID: PMC4860176 DOI: 10.1002/ajp.22501] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [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] [Received: 05/08/2015] [Revised: 10/23/2015] [Accepted: 10/24/2015] [Indexed: 12/15/2022]
Abstract
Vervets, also known as African green monkeys, are a nonhuman primate species widely used in biomedical research. However, there are currently few references available describing techniques and rates of success for pair-housing this species. We present data from four cohorts of vervets from three different facilities: (i) the Wake Forest Vervet Research Colony (VRC; n = 72 female pairs, n= 52 male pairs), (ii) the University of Louisiana at Lafayette-New Iberia Research Center (UL-NIRC; n = 57 female pairs, n = 54 male pairs), (iii) the Tulane National Primate Research Center (TNRPC; n = 18 male pairs), and (iv) a cohort of imported males (n = 18 pairs) at Wake Forest. Compatibility was measured at 14, 30, and 60 days following introduction. Success rates for pair-housing at 14 days ranged from 96% to 98% for females and 96% to 100% for males at the VRC and UL-NIRC but were lower in the smaller imported male cohorts (TNPRC: 50%; WF: 28%). Among the UL-NIRC cohort and VRC male cohort, most of the pair separations after 14 days were due to reasons unrelated to social incompatibility. In contrast, a large proportion of TNPRC and imported male pairs successful at 14 days required separation within 60 days due to incompatibility. Multiple logistic regressions were performed using cohort, mean age of pair and weight difference between pair-mates as potential predictors of compatibility at 14 days. All three predicted the 14-day outcome in males but not females. A separate analysis in the VRC cohort found no evidence that prior familiarity in a group setting influenced outcomes. Variations in success rates across cohorts may have been influenced by introduction methodology. Behavioral differences between vervets and macaques, coupled with our findings, lead us to theorize that the gradual introduction techniques commonly implemented to pair house macaques may not be beneficial or suitable for this species. Am. J. Primatol. 79:e22501, 2017. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Matthew J. Jorgensen
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Kelsey R. Lambert
- Animal Resources Program, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Sarah D. Breaux
- Department of Veterinary Resources, University of Louisiana at Lafayette – New Iberia Research Center, Lafayette, Louisiana
| | - Kate C. Baker
- Division of Veterinary Medicine, Tulane National Primate Research Center, Covington, Louisiana
| | - Beverly M. Snively
- Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - James L. Weed
- Animal Resources Branch, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
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30
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Nixon PA, Washburn LK, O’Shea TM, Shaltout HA, Russell GB, Snively BM, Rose JC. Antenatal steroid exposure and heart rate variability in adolescents born with very low birth weight. Pediatr Res 2017; 81:57-62. [PMID: 27632775 PMCID: PMC5235986 DOI: 10.1038/pr.2016.173] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Accepted: 07/26/2016] [Indexed: 01/18/2023]
Abstract
BACKGROUND Reduced heart rate variability (HRV) suggests autonomic imbalance in the control of heart rate and is associated with unfavorable cardiometabolic outcomes. We examined whether antenatal corticosteroid (ANCS) exposure had long-term programming effects on HRV in adolescents born with very low birth weight (VLBW). METHODS Follow-up study of a cohort of VLBW 14-y olds born between 1992 and 1996 with 50% exposed to ANCS. HRV in both the time and frequency domains using Nevrokard Software was determined from a 5-min electrocardiogram tracing. RESULTS HRV data from 89 (35 male, 53 non-black) exposed (ANCS+) and 77 (28 male, 29 non-black) unexposed (ANCS-) adolescents were analyzed. HRV did not differ between ANCS+ and ANCS- black participants. However, in non-black participants, a significant interaction between ANCS and sex was observed, with ANCS- females having significantly greater HRV than ANCS+ females and males, and ANCS- males for both time and frequency domain variables. CONCLUSION Among non-black adolescents born with VLBW, ANCS exposure is associated with reduced HRV with apparent sex-specificity. Reduced HRV has been associated with development of adverse cardiometabolic outcomes, thus supporting the need to monitor these outcomes in VLBW adolescents as they mature.
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Affiliation(s)
- Patricia A. Nixon
- Department of Health and Exercise Science, Wake Forest University, Winston Salem, NC, USA,Department of Pediatrics, Wake Forest University School of Medicine, Winston Salem, NC, USA,Corresponding Author: Patricia A. Nixon, PhD, Dept. of Health & Exercise Science, PO Box 7868, Wake Forest University, Winston-Salem, NC 27109-7868, , Phone: 336-758-4642, FAX: 336-758-4680
| | - Lisa K. Washburn
- Department of Pediatrics, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - T. Michael O’Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Hossam A. Shaltout
- Department of Obstetrics and Gynecology, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Gregory B. Russell
- Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Beverly M. Snively
- Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - James C. Rose
- Department of Obstetrics and Gynecology, Wake Forest University School of Medicine, Winston Salem, NC, USA
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31
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Driscoll I, Shumaker SA, Snively BM, Margolis KL, Manson JE, Vitolins MZ, Rossom RC, Espeland MA. Relationships Between Caffeine Intake and Risk for Probable Dementia or Global Cognitive Impairment: The Women's Health Initiative Memory Study. J Gerontol A Biol Sci Med Sci 2016; 71:1596-1602. [PMID: 27678290 PMCID: PMC5106861 DOI: 10.1093/gerona/glw078] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [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: 12/01/2015] [Accepted: 04/07/2016] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Nonhuman studies suggest a protective effect of caffeine on cognition. Although human literature remains less consistent, reviews suggest a possible favorable relationship between caffeine consumption and cognitive impairment or dementia. We investigated the relationship between caffeine intake and incidence of cognitive impairment or probable dementia in women aged 65 and older from the Women's Health Initiative Memory Study. METHODS All women with self-reported caffeine consumption at enrollment were included (N = 6,467). In 10 years or less of follow-up with annual assessments of cognitive function, 388 of these women received a diagnosis of probable dementia based on a 4-phase protocol that included central adjudication. We used proportional hazards regression to assess differences in the distributions of times until incidence of probable dementia or composite cognitive impairment among women grouped by baseline level of caffeine intake, adjusting for risk factors (hormone therapy, age, race, education, body mass index, sleep quality, depression, hypertension, prior cardiovascular disease, diabetes, smoking, and alcohol consumption). RESULTS Women consuming above median levels (mean intake = 261mg) of caffeine intake for this group were less likely to develop incident dementia (hazard ratio = 0.74, 95% confidence interval [0.56, 0.99], p = .04) or any cognitive impairment (hazard ratio = 0.74, confidence interval [0.60, 0.91], p = .005) compared to those consuming below median amounts (mean intake = 64mg) of caffeine for this group. CONCLUSION Our findings suggest lower odds of probable dementia or cognitive impairment in older women whose caffeine consumption was above median for this group and are consistent with the existing literature showing an inverse association between caffeine intake and age-related cognitive impairment.
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Affiliation(s)
- Ira Driscoll
- Department of Psychology, University of Wisconsin-Milwaukee.
| | | | - Beverly M Snively
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Karen L Margolis
- Health Partners Institute for Education and Research, Minneapolis, Minnesota
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Mara Z Vitolins
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Rebecca C Rossom
- Health Partners Institute for Education and Research, Minneapolis, Minnesota
| | - Mark A Espeland
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
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32
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Bell RA, Stafford JM, Arcury TA, Snively BM, Smith SL, Grzywacz JG, Quandt SA. Complementary and Alternative Medicine Use and Diabetes Self-Management Among Rural Older Adults. ACTA ACUST UNITED AC 2016; 11:95-106. [PMID: 19756166 DOI: 10.1177/1533210106292461] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Complementary and alternative medicine (CAM) is a growing form of self-care and is related to other healthy behaviors. This study examines the relationship between CAM use and diabetes self-management. A survey of rural older African American, Native American, and White adults with diabetes was conducted. Data were collected on diabetes self-management domains and general and diabetes-specific CAM use. Some associations were observed, particularly for CAM use and following a healthy eating plan. CAM is part of the health maintenance strategy of rural older adults with diabetes. Further research should examine the health trajectory associated with CAM use in this population.
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33
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South AM, Nixon PA, Chappell MC, Diz DI, Russell GB, Snively BM, Shaltout HA, Rose JC, O’Shea TM, Washburn LK. Abstract 136: Influence of Race and Obesity on the Renin-Angiotensin-Aldosterone System in Adolescents Born Preterm. Hypertension 2016. [DOI: 10.1161/hyp.68.suppl_1.136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
While neonatal morbidity and mortality in preterm infants have improved dramatically, the long-term cardiovascular and renal consequences of prematurity are incompletely understood. Prematurity may induce programmed changes in the renin-angiotensin (Ang)-aldosterone system (RAAS), a key regulator of cardiovascular and renal function. Race and obesity influence the RAAS and may modify the effects of prematurity on the RAAS. We hypothesized that the RAAS differs by race and obesity in adolescents born prematurely with very low birth weight (VLBW).
Methods:
A cohort of 173 adolescents with VLBW was evaluated at age 14. We measured renin, aldosterone, Ang II, and Ang-(1-7) in the plasma; Ang II, Ang-(1-7), and creatinine in the urine; and we calculated the aldosterone/renin ratio and the Ang II/Ang-(1-7) ratios. We used general linear regression models to estimate the difference in the RAAS according to overweight/obesity (body mass index ≥85% for age and sex) and race, adjusting for confounding variables.
Results:
On unadjusted analyses as well as analyses adjusted for sex, antenatal corticosteroid exposure, and maternal hypertension, black race was associated with decreased urinary Ang-(1-7)/creatinine (adjusted estimate -0.18, 95% CI -0.36 to -0.01,
p
= 0.04) and decreased renin (-0.36, -0.68 to -0.05,
p
= 0.03). In analyses stratified by sex, black males, but not black females, had decreased renin (-0.63, -1.1 to -0.16,
p
= 0.01) and aldosterone (-0.61, -1.19 to -0.04,
p
= 0.04). Obesity was associated with increased urinary Ang II/(1-7) (0.29, 0.04 to 0.53,
p
= 0.02), decreased plasma Ang-(1-7) (-0.4, -0.8 to -0.002,
p
= 0.05), increased plasma Ang II (0.21, 0.03 to 0.39,
p
= 0.02), and increased plasma Ang II/(1-7) (0.61, 0.2 to 1.01,
p
= 0.004).
Conclusions:
In adolescents born with VLBW, there is racial variation in the RAAS. Black adolescents, especially males, have an altered renal RAAS and lower renin and aldosterone. Obesity is associated with a potentially deleterious alteration in the RAAS, with a shift in the renal and systemic RAAS towards Ang II and away from Ang-(1-7). These shifts in the RAAS associated with race and obesity may increase the risk of renal and cardiovascular disease in adolescents born with VLBW.
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Affiliation(s)
| | | | | | - Debra I Diz
- Wake Forest Sch of Medicine, Winston Salem, NC
| | | | | | | | | | - T. M O’Shea
- Univ of North Carolina Sch of Medicine, Chapel Hill, NC
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34
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South AM, Nixon PA, Chappell MC, Diz DI, Russell GB, Snively BM, Shaltout HA, Rose JC, O’Shea TM, Washburn LK. Abstract P121: Antenatal Corticosteroids and Alterations in Renal Function in Adolescents Born Preterm. Hypertension 2016. [DOI: 10.1161/hyp.68.suppl_1.p121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Treatment with antenatal corticosteroids (ANCS) hastens fetal lung development and improves survival of infants born preterm, but the long-term effects of ANCS are not well described. Animal models suggest ANCS causes programmed alterations in renal maturation, including a decreased number of functional nephrons. Data in humans suggests that prematurity is associated with subsequent development of glomerular hyperfiltration and albuminuria as precursors of chronic kidney disease. We hypothesized that ANCS exposure alters renal function in adolescents born preterm.
Methods:
A cohort of 169 adolescents born prematurely, 91 of whom were exposed to ANCS, was evaluated at age 14. We measured plasma and urine creatinine (Cr) and urine albumin and calculated the estimated glomerular filtration rate (eGFR) and urine albumin-to-Cr ratio (ACR). The outcomes were albuminuria (urine ACR >30 mg/g Cr) and hyperfiltration (eGFR ≥147.5 mL/min/1.73 m
2
, the upper quintile of the cohort’s eGFR). We used multivariable logistic regression models to evaluate the association of ANCS exposure with renal outcomes, adjusting for confounding variables.
Results:
In unadjusted analyses and after adjustment for race, sex, and maternal hypertension, ANCS exposure was associated with a decreased likelihood of albuminuria (adjusted OR 0.33, 95% CI 0.12 to 0.91,
p
= 0.03). In unadjusted analysis ANCS was associated with an increased likelihood of hyperfiltration (unadjusted OR 3.17, 1.1 to 9.15,
p
= 0.03), and this relationship was only slightly attenuated after adjustment for confounding variables (
p
= 0.12).
Conclusions:
Adolescents born prematurely who were exposed to ANCS were less likely to exhibit albuminuria, but were more likely to have hyperfiltration. ANCS could affect renal function among adolescents born prematurely.
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Affiliation(s)
| | | | | | - Debra I Diz
- Wake Forest Sch of Medicine, Winston Salem, NC
| | | | | | | | | | - T. M O’Shea
- Wake Forest Sch of Medicine, Winston Salem, NC
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35
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Arnold M, Jiang L, Stefanick ML, Johnson KC, Lane DS, LeBlanc ES, Prentice R, Rohan TE, Snively BM, Vitolins M, Zaslavsky O, Soerjomataram I, Anton-Culver H. Duration of Adulthood Overweight, Obesity, and Cancer Risk in the Women's Health Initiative: A Longitudinal Study from the United States. PLoS Med 2016; 13:e1002081. [PMID: 27529652 PMCID: PMC4987008 DOI: 10.1371/journal.pmed.1002081] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Accepted: 06/07/2016] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND High body mass index (BMI) has become the leading risk factor of disease burden in high-income countries. While recent studies have suggested that the risk of cancer related to obesity is mediated by time, insights into the dose-response relationship and the cumulative impact of overweight and obesity during the life course on cancer risk remain scarce. To our knowledge, this study is the first to assess the impact of adulthood overweight and obesity duration on the risk of cancer in a large cohort of postmenopausal women. METHODS AND FINDINGS Participants from the observational study of the Women's Health Initiative (WHI) with BMI information from at least three occasions during follow-up, free of cancer at baseline, and with complete covariate information were included (n = 73,913). Trajectories of BMI across ages were estimated using a quadratic growth model; overweight duration (BMI ≥ 25 kg/m2), obesity duration (BMI ≥ 30 kg/m2), and weighted cumulative overweight and obese years, which take into account the degree of overweight and obesity over time (a measure similar to pack-years of cigarette smoking), were calculated using predicted BMIs. Cox proportional hazard models were applied to determine the cancer risk associated with overweight and obesity duration. In secondary analyses, the influence of important effect modifiers and confounders, such as smoking status, postmenopausal hormone use, and ethnicity, was assessed. A longer duration of overweight was significantly associated with the incidence of all obesity-related cancers (hazard ratio [HR] per 10-y increment: 1.07, 95% CI 1.06-1.09). For postmenopausal breast and endometrial cancer, every 10-y increase in adulthood overweight duration was associated with a 5% and 17% increase in risk, respectively. On adjusting for intensity of overweight, these figures rose to 8% and 37%, respectively. Risks of postmenopausal breast and endometrial cancer related to overweight duration were much more pronounced in women who never used postmenopausal hormones. This study has limitations because some of the anthropometric information was obtained from retrospective self-reports. Furthermore, data from longitudinal studies with long-term follow-up and repeated anthropometric measures are typically subject to missing data at various time points, which was also the case in this study. Yet, this limitation was partially overcome by using growth curve models, which enabled us to impute data at missing time points for each participant. CONCLUSIONS In summary, this study showed that a longer duration of overweight and obesity is associated with an increased risk of developing several forms of cancer. Furthermore, the degree of overweight experienced during adulthood seemed to play an important role in the risk of developing cancer, especially for endometrial cancer. Although the observational nature of our study precludes inferring causality or making clinical recommendations, our findings suggest that reducing overweight duration in adulthood could reduce cancer risk and that obesity prevention is important from early onset. If this is true, health care teams should recognize the potential of obesity management in cancer prevention and that excess body weight in women is important to manage regardless of the age of the patient.
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Affiliation(s)
- Melina Arnold
- Section of Cancer Surveillance, International Agency for Research on Cancer, Lyon, France
| | - Luohua Jiang
- Department of Epidemiology, School of Medicine, University of California, Irvine, California, United States of America
| | - Marcia L. Stefanick
- Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California, United States of America
| | - Karen C. Johnson
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
| | - Dorothy S. Lane
- Department of Preventive Medicine, Stony Brook University School of Medicine, Stony Brook, New York, United States of America
| | - Erin S. LeBlanc
- Center for Health Research, Kaiser Permanente, Portland, Oregon, United States of America
| | - Ross Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Thomas E. Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Beverly M. Snively
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Mara Vitolins
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Oleg Zaslavsky
- Faculty of Health Sciences and Social Welfare, University of Haifa, Haifa, Israel
| | - Isabelle Soerjomataram
- Section of Cancer Surveillance, International Agency for Research on Cancer, Lyon, France
| | - Hoda Anton-Culver
- Department of Epidemiology, School of Medicine, University of California, Irvine, California, United States of America
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36
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Naughton MJ, Brunner RL, Hogan PE, Danhauer SC, Brenes GA, Bowen DJ, Snively BM, Goveas JS, Saquib N, Zaslavsky O, Shumaker SA. Global Quality of Life Among WHI Women Aged 80 Years and Older. J Gerontol A Biol Sci Med Sci 2016; 71 Suppl 1:S72-8. [PMID: 26858327 DOI: 10.1093/gerona/glv056] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [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: 11/14/2022] Open
Abstract
BACKGROUND The number of older adults living to age 80 and older is increasing rapidly, particularly among women. Correlates of quality of life (QOL) in very advanced ages are not known. We examined the association of demographic, social-psychological, lifestyle, and physical health variables with global QOL in a Women's Health Initiative (WHI) cohort of women aged 80 and older. METHODS 26,299 WHI participants, who had completed a recent psychosocial and medical update, were included in these analyses. Global QOL was assessed by a single item, asking the women to rate their overall QOL on a scale from 0 to 10. Characteristics of the women were examined by the level of their transformed global QOL scores (≤50, 50-70, ≥70), and multiple regression was used to examine which demographic, social-psychological, lifestyle and health variables were independently associated with higher global QOL. RESULTS Social-psychological and current health variables were more strongly associated with global QOL than a history of selected comorbid conditions. In particular, higher self-rated health and fewer depressive symptoms were the most strongly associated with better global QOL in WHI women ≥80 years. CONCLUSIONS Interventions to reduce depressive symptoms and improve health may lead to better self-reported health and global QOL among older women. Physical and mental health screenings followed by evidence-based interventions are imperative in geriatric care.
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Affiliation(s)
- Michelle J Naughton
- Division of Population Sciences, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
| | | | - Patricia E Hogan
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Suzanne C Danhauer
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Gretchen A Brenes
- Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Deborah J Bowen
- Department of Bioethics and Humanities, University of Washington, School of Medicine, Seattle, Washington
| | - Beverly M Snively
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Joseph S Goveas
- Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Nazmus Saquib
- College of Medicine, Sulaiman Al-Rajhi Colleges, Kingdom of Saudi Arabia
| | - Oleg Zaslavsky
- Health Sciences and Social Welfare, University of Haifa, Haifa, Israel
| | - Sally A Shumaker
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
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Phipps AI, Bhatti P, Neuhouser ML, Chen C, Crane TE, Kroenke CH, Ochs-Balcom H, Rissling M, Snively BM, Stefanick ML, Treggiari MM, Watson NF. Pre-diagnostic Sleep Duration and Sleep Quality in Relation to Subsequent Cancer Survival. J Clin Sleep Med 2016; 12:495-503. [PMID: 26612513 PMCID: PMC4795275 DOI: 10.5664/jcsm.5674] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [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: 08/07/2015] [Accepted: 11/02/2015] [Indexed: 12/19/2022]
Abstract
STUDY OBJECTIVES Poor sleep quality and short sleep duration have been associated with elevated risk for several cancer types; however, the relationship between sleep and cancer outcomes has not been well characterized. We assessed the association between pre-diagnostic sleep attributes and subsequent cancer survival within the Women's Health Initiative (WHI). METHODS We identified WHI participants in whom a first primary invasive cancer had been diagnosed during follow-up (n = 21,230). Participants provided information on sleep characteristics at enrollment. Cox regression was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between these pre-diagnostic sleep characteristics and cancer-specific survival for all cancers combined and separately for common cancers. Analyses were adjusted for age, study arm, cancer site, marital status, income, smoking, physical activity, and time to diagnosis. RESULTS No individual pre-diagnostic sleep characteristics were found to be significantly associated with cancer survival in analyses of all cancer sites combined; however, women who reported short sleep duration (≤ 6 h sleep/night) combined with frequent snoring (≥ 5 nights/w experienced significantly poorer cancer-specific survival than those who reported 7-8 h of sleep/night and no snoring (HR = 1.32, 95% CI: 1.14-1.54). Short sleep duration (HR = 1.46, 95% CI: 1.07-1.99) and frequent snoring (HR = 1.34, 95% CI: 0.98-1.85) were each associated with poorer breast cancer survival; those reporting short sleep combined with frequent snoring combined had substantially poorer breast cancer survival than those reporting neither (HR = 2.14, 95% CI: 1.47-3.13). CONCLUSIONS Short sleep duration combined with frequent snoring reported prior to cancer diagnosis may influence subsequent cancer survival, particularly breast cancer survival.
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Affiliation(s)
- Amanda I. Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Epidemiology Department, School of Public Health, University of Washington, Seattle, WA
| | - Parveen Bhatti
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Epidemiology Department, School of Public Health, University of Washington, Seattle, WA
| | - Marian L. Neuhouser
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Chu Chen
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Tracy E. Crane
- Health Promotion Sciences Division, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ
| | - Candyce H. Kroenke
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Heather Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY
| | | | - Beverly M. Snively
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Marcia L. Stefanick
- Stanford Prevention Research Center, Stanford University, School of Medicine, Palo Alto, CA
| | - Miriam M. Treggiari
- Anesthesiology and Perioperative Medicine, Oregon Health and Science University, Portland, OR
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Dunn EC, Wiste A, Radmanesh F, Almli LM, Gogarten SM, Sofer T, Faul JD, Kardia SL, Smith JA, Weir DR, Zhao W, Soare TW, Mirza SS, Hek K, Tiemeier HW, Goveas JS, Sarto GE, Snively BM, Cornelis M, Koenen KC, Kraft P, Purcell S, Ressler KJ, Rosand J, Wassertheil-Smoller S, Smoller JW. GENOME-WIDE ASSOCIATION STUDY (GWAS) AND GENOME-WIDE BY ENVIRONMENT INTERACTION STUDY (GWEIS) OF DEPRESSIVE SYMPTOMS IN AFRICAN AMERICAN AND HISPANIC/LATINA WOMEN. Depress Anxiety 2016; 33:265-80. [PMID: 27038408 PMCID: PMC4826276 DOI: 10.1002/da.22484] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Revised: 02/12/2016] [Accepted: 02/12/2016] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have made little progress in identifying variants linked to depression. We hypothesized that examining depressive symptoms and considering gene-environment interaction (GxE) might improve efficiency for gene discovery. We therefore conducted a GWAS and genome-wide by environment interaction study (GWEIS) of depressive symptoms. METHODS Using data from the SHARe cohort of the Women's Health Initiative, comprising African Americans (n = 7,179) and Hispanics/Latinas (n = 3,138), we examined genetic main effects and GxE with stressful life events and social support. We also conducted a heritability analysis using genome-wide complex trait analysis (GCTA). Replication was attempted in four independent cohorts. RESULTS No SNPs achieved genome-wide significance for main effects in either discovery sample. The top signals in African Americans were rs73531535 (located 20 kb from GPR139, P = 5.75 × 10(-8) ) and rs75407252 (intronic to CACNA2D3, P = 6.99 × 10(-7) ). In Hispanics/Latinas, the top signals were rs2532087 (located 27 kb from CD38, P = 2.44 × 10(-7) ) and rs4542757 (intronic to DCC, P = 7.31 × 10(-7) ). In the GEWIS with stressful life events, one interaction signal was genome-wide significant in African Americans (rs4652467; P = 4.10 × 10(-10) ; located 14 kb from CEP350). This interaction was not observed in a smaller replication cohort. Although heritability estimates for depressive symptoms and stressful life events were each less than 10%, they were strongly genetically correlated (rG = 0.95), suggesting that common variation underlying self-reported depressive symptoms and stressful life event exposure, though modest on their own, were highly overlapping in this sample. CONCLUSIONS Our results underscore the need for larger samples, more GEWIS, and greater investigation into genetic and environmental determinants of depressive symptoms in minorities.
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Affiliation(s)
- Erin C. Dunn
- Center for Human Genetic Research, Massachusetts General Hospital,Department of Psychiatry, Harvard Medical School,Stanley Center for Psychiatric Research, The Broad Institute of Harvard and MIT
| | - Anna Wiste
- Center for Experimental Drugs and Diagnostics, Department of Psychiatry, Massachusetts General Hospital
| | - Farid Radmanesh
- Center for Human Genetic Research, Massachusetts General Hospital,Division of Neurocritical Care, Department of Neurology, Massachusetts General Hospital,Program in Medical and Population Genetics, The Broad Institute of Harvard and MIT
| | - Lynn M. Almli
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | | | - Tamar Sofer
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Jessica D. Faul
- Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | | | - Jennifer A. Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan
| | - David R. Weir
- Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan
| | - Thomas W. Soare
- Center for Human Genetic Research, Massachusetts General Hospital,Department of Psychiatry, Harvard Medical School,Stanley Center for Psychiatric Research, The Broad Institute of Harvard and MIT
| | - Saira S. Mirza
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Karin Hek
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands,Department of Psychiatry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Henning W. Tiemeier
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Joseph S. Goveas
- Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Gloria E. Sarto
- Center for Women's Health and Health Disparities Research, Department of Obstetrics and Gynecology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin
| | - Beverly M. Snively
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Marilyn Cornelis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Karestan C. Koenen
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health
| | - Shaun Purcell
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Kerry J. Ressler
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Jonathan Rosand
- Center for Human Genetic Research, Massachusetts General Hospital,Division of Neurocritical Care, Department of Neurology, Massachusetts General Hospital,Program in Medical and Population Genetics, The Broad Institute of Harvard and MIT
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, New York
| | - Jordan W. Smoller
- Center for Human Genetic Research, Massachusetts General Hospital,Department of Psychiatry, Harvard Medical School,Stanley Center for Psychiatric Research, The Broad Institute of Harvard and MIT
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Sweadner KJ, Toro C, Whitlow CT, Snively BM, Cook JF, Ozelius LJ, Markello TC, Brashear A. ATP1A3 Mutation in Adult Rapid-Onset Ataxia. PLoS One 2016; 11:e0151429. [PMID: 26990090 PMCID: PMC4798776 DOI: 10.1371/journal.pone.0151429] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [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: 12/09/2015] [Accepted: 02/28/2016] [Indexed: 11/18/2022] Open
Abstract
A 21-year old male presented with ataxia and dysarthria that had appeared over a period of months. Exome sequencing identified a de novo missense variant in ATP1A3, the gene encoding the α3 subunit of Na,K-ATPase. Several lines of evidence suggest that the variant is causative. ATP1A3 mutations can cause rapid-onset dystonia-parkinsonism (RDP) with a similar age and speed of onset, as well as severe diseases of infancy. The patient's ATP1A3 p.Gly316Ser mutation was validated in the laboratory by the impaired ability of the expressed protein to support the growth of cultured cells. In a crystal structure of Na,K-ATPase, the mutated amino acid was directly apposed to a different amino acid mutated in RDP. Clinical evaluation showed that the patient had many characteristics of RDP, however he had minimal fixed dystonia, a defining symptom of RDP. Successive magnetic resonance imaging (MRI) revealed progressive cerebellar atrophy, explaining the ataxia. The absence of dystonia in the presence of other RDP symptoms corroborates other evidence that the cerebellum contributes importantly to dystonia pathophysiology. We discuss the possibility that a second de novo variant, in ubiquilin 4 (UBQLN4), a ubiquitin pathway component, contributed to the cerebellar neurodegenerative phenotype and differentiated the disease from other manifestations of ATP1A3 mutations. We also show that a homozygous variant in GPRIN1 (G protein-regulated inducer of neurite outgrowth 1) deletes a motif with multiple copies and is unlikely to be causative.
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Affiliation(s)
- Kathleen J. Sweadner
- Departments of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail:
| | - Camilo Toro
- NIH Undiagnosed Diseases Program, Common Fund, Office of the Director, NIH, and Office of the Clinical Director, NHGRI, Bethesda, Maryland, United States of America
| | - Christopher T. Whitlow
- Departments of Radiology and Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Beverly M. Snively
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Jared F. Cook
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Laurie J. Ozelius
- Department of Neurology, Massachusetts General Hospital, Boston Massachusetts, United States of America
| | - Thomas C. Markello
- NIH Undiagnosed Diseases Program, Common Fund, Office of the Director, NIH, and Human Biochemical Genetics Section, Medical Genetics Branch, NHGRI, Bethesda, Maryland, United States of America
| | - Allison Brashear
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
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40
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Crandall CJ, LaMonte MJ, Snively BM, LeBoff MS, Cauley JA, Lewis CE, Wallace R, Li W, Chen Z, Robbins JA, Wactawski-Wende J. Physical Functioning Among Women Aged 80 Years and Older With Previous Fracture. J Gerontol A Biol Sci Med Sci 2016; 71 Suppl 1:S31-41. [PMID: 26858323 PMCID: PMC4861138 DOI: 10.1093/gerona/glv060] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [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: 12/09/2014] [Accepted: 04/08/2015] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The oldest old are the fastest growing segment of the elderly population. Little is known regarding the associations of fracture history with physical functioning assessed after age 80. METHODS Among 33,386 women surviving to age 80 years (mean ± SD years 84.6 ± 3.4), we examined the relationship between history of incident fracture after entry into the Women's Health Initiative (follow-up 15.2 ± 1.3 years) and their physical functioning assessed using the RAND-36 instrument most proximal to 2012 end of follow-up. RESULTS Baseline mean (±SD) physical function score was 82 (± 18). After adjustment for demographic and medical characteristics, fracture at each site, including hip, upper limb, lower limb, and central body, was associated with significantly lower subsequent physical functioning (all p < .001). Hip, upper leg, spine, and pelvis fractures were particularly related with lower physical functioning scores, 11.7 (95% CI: 10.3, 13.1), 10.5 (8.8, 12.3), 9.8 (8.9, 10.8), and 8.7 (7.2, 10.2) units lower, respectively, compared with women without fracture (each p < .0001). Compared with women without central site fracture, women with central site fractures also had lower physical functioning scores (10.0 [9.3, 10.8] units lower]; p < .0001). In case-only analysis of fractures, older age, less than 1 year since fracture, one or more additional sites fractured, history of cardiovascular disease or cancer, higher body mass index, and no alcohol intake in the past 3 months also were independent predictors of lower physical functioning score (all p < .05). CONCLUSIONS Among women surviving to 80 years and older, prior fracture is associated with lower current physical functioning, regardless of anatomical site of fracture, independent of other major predictors of disability.
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Affiliation(s)
- Carolyn J Crandall
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles.
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health, University at Buffalo, the State University of New York
| | - Beverly M Snively
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Meryl S LeBoff
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jane A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania
| | - Cora E Lewis
- Department of Medicine, University of Alabama, Birmingham
| | | | - Wenjun Li
- Department of Medicine, Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester
| | - Zhao Chen
- Division of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson
| | - John A Robbins
- Department of Medicine, Center for Healthcare Policy and Research, UC Davis Medical Center, Sacramento, California
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, the State University of New York
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Peters TR, Snively BM, Suerken CK, Bischoff W, Vannoy L, Blakeney E, Bischoff T, Palavecino E, Sherertz R, Poehling KA. Estimating the Burden of Pandemic Infectious Disease: The Case of the Second Wave of Pandemic Influenza H1N1 in Forsyth County, North Carolina. N C Med J 2016; 77:15-22. [PMID: 26763239 DOI: 10.18043/ncm.77.1.15] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Understanding the burden of influenza A(H1N1)pdm09 virus during the second wave of 2009-2010 is important for future pandemic planning. METHODS Persons who presented to the emergency department (ED) or were hospitalized with fever and/or acute respiratory symptoms at the academic medical center in Forsyth County, North Carolina were prospectively enrolled and underwent nasal/throat swab testing for influenza A(H1N1)pdm09. Laboratory-confirmed cases of influenza A(H1N1)pdm09 virus identified through active surveillance were compared by capture-recapture analysis to those identified through independent, passive surveillance (physician-ordered influenza testing). This approach estimated the number of total cases, including those not captured by either surveillance method. A second analysis estimated the total number of influenza A(H1N1)pdm09 cases by multiplying weekly influenza percentages determined via active surveillance by weekly counts of influenza-associated discharge diagnoses from administrative data. Market share adjustments were used to estimate influenza A(H1N1)pdm09 virus ED visits or hospitalizations per 1,000 residents. RESULTS Capture-recapture analysis estimated that 753 residents (95% confidence interval [CI], 424-2,735) with influenza A(H1N1)pdm09 virus were seen in the academic medical center from September 2009 through mid-April 2010; this result yielded an estimated 4.7 (95% CI, 2.6-16.9) influenza A(H1N1)pdm09 virus ED visits or hospitalizations per 1,000 residents. Similarly, 708 visits were estimated using weekly influenza percentages and influenza-associated discharge diagnoses, yielding an estimated 4.4 influenza A(H1N1)pdm09 virus ED visits or hospitalizations per 1,000 residents. CONCLUSION This study demonstrates that the burden of influenza A(H1N1)pdm09 virus in ED and inpatient settings by capture-recapture analysis was 4-5 per 1,000 residents; this rate was approximately 8-fold higher than that detected by physician-ordered influenza testing.
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Affiliation(s)
- Timothy R Peters
- associate professor, Departments of Pediatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Beverly M Snively
- professor, Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Cynthia K Suerken
- biostatistician, Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Werner Bischoff
- director of infection control and associate professor, Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Lauren Vannoy
- research associate, Departments of Pediatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Elizabeth Blakeney
- research associate, Departments of Pediatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Tammy Bischoff
- public health epidemiologist, Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Elizabeth Palavecino
- associate professor, Pathology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Robert Sherertz
- professor, Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Katherine A Poehling
- professor, Departments of Pediatrics, Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
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42
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Vaughan L, Hogan PE, Rapp SR, Dugan E, Marottoli RA, Snively BM, Shumaker SA, Sink KM. Driving with Mild Cognitive Impairment or Dementia: Cognitive Test Performance and Proxy Report of Daily Life Function in Older Women. J Am Geriatr Soc 2015; 63:1774-82. [PMID: 26338449 DOI: 10.1111/jgs.13634] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [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: 12/01/2022]
Abstract
OBJECTIVES To investigate associations between proxy report of cognitive and functional limitations and cognitive performance and current or former driving status in older women with mild cognitive impairment (MCI) and all-cause dementia. DESIGN Cross-sectional data analysis of retrospectively identified older women with adjudicated MCI and all-cause dementia in the Women's Health Initiative Memory Study-Epidemiology of Cognitive Health Outcomes (WHIMS-ECHO). SETTING Academic medical center. PARTICIPANTS Women (mean age ± standard deviation 83.7 ± 3.5) adjudicated with MCI or dementia during Year 1, 2, 3, or 4 of the WHIMS-ECHO follow-up period (N = 385). MEASUREMENTS The telephone-administered cognitive battery included tests of attention, verbal learning and memory, verbal fluency, executive function, working memory, and global cognitive function plus self-report measures of depressive symptomatology. The Dementia Questionnaire (DQ) was administered to a knowledgeable proxy (family member, friend). RESULTS Sixty percent of women with MCI and 40% of those with dementia are current drivers. Proxy reports of functional limitations in instrumental activities of daily living (IADLs) are associated with current driving status in women with MCI, whereas performance-based cognitive tests are not. In women with dementia, proxy reports of functional limitations in IADLs and performance-based cognitive tests are associated with current driving status, as expected. CONCLUSION These findings have clinical implications for the importance of evaluating driving concurrently with other instrumental functional abilities in MCI and dementia. Additional work is needed to determine whether proxy report of cognitive and functional impairments should help guide referrals for driving assessment and rehabilitation or counseling for driving transition.
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Affiliation(s)
- Leslie Vaughan
- Department of Social Sciences and Health Policy, Wake Forest University, Winston-Salem, North Carolina
| | - Patricia E Hogan
- Department of Biostatistical Sciences, Wake Forest University, Winston-Salem, North Carolina
| | - Stephen R Rapp
- Department of Social Sciences and Health Policy, Wake Forest University, Winston-Salem, North Carolina.,Department of Psychiatry and Behavioral Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Elizabeth Dugan
- Department of Gerontology, McCormack Graduate School for Policy and Global Studies, University of Massachusetts Boston, Boston, Massachusetts
| | - Richard A Marottoli
- School of Medicine, Yale University, New Haven, Connecticut.,Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
| | - Beverly M Snively
- Department of Biostatistical Sciences, Wake Forest University, Winston-Salem, North Carolina
| | - Sally A Shumaker
- Department of Social Sciences and Health Policy, Wake Forest University, Winston-Salem, North Carolina
| | - Kaycee M Sink
- Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Sticht Center on Aging, School of Medicine, Wake Forest University, Winston-Salem, North Carolina
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Miller MR, Peters TR, Suerken CK, Snively BM, Poehling KA. Predictors of Influenza Diagnosis Among Patients With Laboratory-Confirmed Influenza. J Infect Dis 2015; 212:1604-12. [PMID: 25941330 DOI: 10.1093/infdis/jiv264] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [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: 01/23/2015] [Accepted: 04/23/2015] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE This study was performed to determine predictors of clinical influenza diagnosis among patients with laboratory-confirmed influenza. METHODS Prospective, laboratory-confirmed surveillance for influenza was conducted among patients of all ages who were hospitalized or presented to the emergency department with fever and respiratory symptoms during 2009-2013. We evaluated all enrolled persons who had influenza confirmed by viral culture and/or polymerase chain reaction and received any discharge diagnosis. The primary outcome, clinical influenza diagnosis, was defined as (1) a discharge diagnosis of influenza, (2) a prescription of neuraminidase inhibitor, or (3) a rapid test positive for influenza virus. Bivariate analyses and multiple logistic regression modeling were performed. RESULTS Influenza was diagnosed for 29% of 504 enrolled patients with laboratory-confirmed influenza and for 56% of 236 patients with high-risk conditions. Overall, clinical influenza diagnosis was predicted by race/ethnicity, insurance status, year, being hospitalized, having high-risk conditions, and receiving no diagnosis of bacterial infection. Being diagnosed with a bacterial infection reduced the odds of receiving an influenza diagnosis by >3-fold for all patients and for patients with high-risk conditions. CONCLUSIONS Many influenza virus-positive patients, including those with high-risk conditions, do not receive a clinical diagnosis of influenza. The pattern of clinical diagnoses among influenza virus-positive patients suggests preferential consideration of bacterial diseases as a diagnosis.
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Affiliation(s)
| | | | | | | | - Katherine A Poehling
- Department of Pediatrics Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
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Beavers DP, Pettinger M, Espeland MA, Snively BM, Leng X, Hunt JR, Tindle HA, Shumaker SA. The Evolution of the WHI 80+ Cohort. J Gerontol A Biol Sci Med Sci 2015; 71 Suppl 1:S13-22. [PMID: 25922347 DOI: 10.1093/gerona/glv050] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [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: 07/16/2014] [Accepted: 03/31/2015] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The Women's Health Initiative has collected data on the aging process of postmenopausal women for over two decades, including data on many women who have achieved age 80 years and older. However, there has not been any previous effort to characterize the 80+ cohort and to identify associated retention factors. METHODS We include all women at baseline of the Women's Health Initiative who would be at least 80 years of age as of September 17, 2012. We summarize retention rates during the study and across two re-enrollment campaigns as well as the demographic and health-related characteristics that predicted retention. Further, we describe the longitudinal change from baseline in the women identified as members of the 80+ cohort. RESULTS Retention rates were lower during each of two re-enrollment periods (74% and 83% retained during re-enrollment periods 1 and 2, respectively) than during the first and second data collection periods (90% each). Women who were retained were more likely to be white, educated, and healthier at baseline. Women age 80 and older saw modest changes in body mass index and depression burden, despite lower physical activity and increased cardiovascular disease. CONCLUSIONS The characteristics of women who were retained in the 80+ cohort differ in significant ways compared with their peers at baseline. Identifying the characteristics associated with attrition in older cohorts is important because aging and worsening health has a negative impact on study attrition. Strategies should be implemented to improve retention rates among less healthy older adults.
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Affiliation(s)
- Daniel P Beavers
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina.
| | - Mary Pettinger
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Mark A Espeland
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Beverly M Snively
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Xiaoyan Leng
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Julie R Hunt
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Hilary A Tindle
- Division of General Internal Medicine, University of Pittsburgh, Pennsylvania
| | - Sally A Shumaker
- Department of Social Science and Health Policy, Wake Forest University, Winston-Salem, North Carolina
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45
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Peters TR, Snively BM, Suerken CK, Blakeney E, Vannoy L, Poehling KA. Relative timing of influenza disease by age group. Vaccine 2014; 32:6451-6. [PMID: 25280434 PMCID: PMC4252244 DOI: 10.1016/j.vaccine.2014.09.047] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [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: 03/31/2014] [Revised: 07/22/2014] [Accepted: 09/22/2014] [Indexed: 11/18/2022]
Abstract
A detailed understanding of influenza movement in communities during yearly epidemics is needed to inform improved influenza control programs. We sought to determine the relative timing of influenza presentation and symptom onset by age group and influenza strain. Prospective, laboratory-confirmed surveillance was performed over three moderate influenza seasons in emergency departments and inpatient settings of both medical centers in Winston-Salem, NC. Influenza disease presented first in school age children through community epidemics of influenza A(H1N1)pdm09 and influenza B, and first in persons 5-49 years old for influenza A(H3N2). This finding indicates that influenza prevention in persons 5-49 years of age may be particularly important in influenza epidemic control.
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Affiliation(s)
- Timothy R Peters
- Department of Pediatrics, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
| | - Beverly M Snively
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
| | - Cynthia K Suerken
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
| | - Elizabeth Blakeney
- Department of Pediatrics, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
| | - Lauren Vannoy
- Department of Pediatrics, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
| | - Katherine A Poehling
- Department of Pediatrics, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA; Department of Pediatrics and Epidemiology and Prevention, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
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46
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Ng MCY, Shriner D, Chen BH, Li J, Chen WM, Guo X, Liu J, Bielinski SJ, Yanek LR, Nalls MA, Comeau ME, Rasmussen-Torvik LJ, Jensen RA, Evans DS, Sun YV, An P, Patel SR, Lu Y, Long J, Armstrong LL, Wagenknecht L, Yang L, Snively BM, Palmer ND, Mudgal P, Langefeld CD, Keene KL, Freedman BI, Mychaleckyj JC, Nayak U, Raffel LJ, Goodarzi MO, Chen YDI, Taylor HA, Correa A, Sims M, Couper D, Pankow JS, Boerwinkle E, Adeyemo A, Doumatey A, Chen G, Mathias RA, Vaidya D, Singleton AB, Zonderman AB, Igo RP, Sedor JR, Kabagambe EK, Siscovick DS, McKnight B, Rice K, Liu Y, Hsueh WC, Zhao W, Bielak LF, Kraja A, Province MA, Bottinger EP, Gottesman O, Cai Q, Zheng W, Blot WJ, Lowe WL, Pacheco JA, Crawford DC, Grundberg E, Rich SS, Hayes MG, Shu XO, Loos RJF, Borecki IB, Peyser PA, Cummings SR, Psaty BM, Fornage M, Iyengar SK, Evans MK, Becker DM, Kao WHL, Wilson JG, Rotter JI, Sale MM, Liu S, Rotimi CN, Bowden DW. Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes. PLoS Genet 2014; 10:e1004517. [PMID: 25102180 PMCID: PMC4125087 DOI: 10.1371/journal.pgen.1004517] [Citation(s) in RCA: 150] [Impact Index Per Article: 15.0] [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: 01/21/2014] [Accepted: 06/05/2014] [Indexed: 12/11/2022] Open
Abstract
Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15×10−94<P<5×10−8, odds ratio (OR) = 1.09 to 1.36). Fine-mapping revealed that 88 of 158 previously identified T2D or glucose homeostasis loci demonstrated nominal to highly significant association (2.2×10−23 < locus-wide P<0.05). These novel and previously identified loci yielded a sibling relative risk of 1.19, explaining 17.5% of the phenotypic variance of T2D on the liability scale in African Americans. Overall, this study identified two novel susceptibility loci for T2D in African Americans. A substantial number of previously reported loci are transferable to African Americans after accounting for linkage disequilibrium, enabling fine mapping of causal variants in trans-ethnic meta-analysis studies. Despite the higher prevalence of type 2 diabetes (T2D) in African Americans than in Europeans, recent genome-wide association studies (GWAS) were examined primarily in individuals of European ancestry. In this study, we performed meta-analysis of 17 GWAS in 8,284 cases and 15,543 controls to explore the genetic architecture of T2D in African Americans. Following replication in additional 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry, we identified two novel and three previous reported T2D loci reaching genome-wide significance. We also examined 158 loci previously reported to be associated with T2D or regulating glucose homeostasis. While 56% of these loci were shared between African Americans and the other populations, the strongest associations in African Americans are often found in nearby single nucleotide polymorphisms (SNPs) instead of the original SNPs reported in other populations due to differential genetic architecture across populations. Our results highlight the importance of performing genetic studies in non-European populations to fine map the causal genetic variants.
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Affiliation(s)
- Maggie C. Y. Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America
| | - Brian H. Chen
- Program on Genomics and Nutrition, School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America
- Center for Metabolic Disease Prevention, School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America
| | - Jiang Li
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Wei-Min Chen
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Jiankang Liu
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Suzette J. Bielinski
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Lisa R. Yanek
- The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Michael A. Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Mary E. Comeau
- Center for Public Health Genomics, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Laura J. Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Richard A. Jensen
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Daniel S. Evans
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, United States of America
| | - Yan V. Sun
- Department of Epidemiology and Biomedical Informatics, Emory University, Atlanta, Georgia, United States of America
| | - Ping An
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Sanjay R. Patel
- Division of Sleep Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Loren L. Armstrong
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Lynne Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Lingyao Yang
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Beverly M. Snively
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Nicholette D. Palmer
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Poorva Mudgal
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Carl D. Langefeld
- Center for Public Health Genomics, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Keith L. Keene
- Department of Biology, Center for Health Disparities, East Carolina University, Greenville, North Carolina, United States of America
| | - Barry I. Freedman
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Josyf C. Mychaleckyj
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America
| | - Uma Nayak
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America
| | - Leslie J. Raffel
- Medical Genetics Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Mark O. Goodarzi
- Medical Genetics Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Y-D Ida Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Herman A. Taylor
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
- Jackson State University, Tougaloo College, Jackson, Mississippi, United States of America
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - David Couper
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - James S. Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America
| | - Ayo Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America
| | - Rasika A. Mathias
- The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Division of Allergy and Clinical Immunology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Dhananjay Vaidya
- The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Andrew B. Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Alan B. Zonderman
- Laboratory of Personality and Cognition, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America
| | - Robert P. Igo
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - John R. Sedor
- Department of Medicine, Case Western Reserve University, MetroHealth System campus, Cleveland, Ohio, United States of America
- Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | | | - Edmond K. Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - David S. Siscovick
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Barbara McKnight
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Kenneth Rice
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Wen-Chi Hsueh
- Department of Medicine, University of California, San Francisco, California, United States of America
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Lawrence F. Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Aldi Kraja
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Michael A. Province
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Erwin P. Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Omri Gottesman
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - William J. Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee; International Epidemiology Institute, Rockville, Maryland, United States of America
| | - William L. Lowe
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Jennifer A. Pacheco
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Dana C. Crawford
- Center for Human Genetics Research and Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America
| | | | | | - Elin Grundberg
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | | | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
| | - M. Geoffrey Hayes
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Ingrid B. Borecki
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Steven R. Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, United States of America
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
- Department of Health Services, University of Washington, Seattle, Washington, United States of America
| | - Myriam Fornage
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Sudha K. Iyengar
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Michele K. Evans
- Health Disparities Unit, National Institute on Aging, National Institutes of Health, Baltimore Maryland, United States of America
| | - Diane M. Becker
- The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - W. H. Linda Kao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Michèle M. Sale
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Medicine, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, Virginia, United States of America
| | - Simin Liu
- Program on Genomics and Nutrition, School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America
- Department of Epidemiology, University of California Los Angeles, Los Angeles, California, United States of America
- Departments of Epidemiology and Medicine, Brown University, Providence, Rhode Island, United States of America
- * E-mail: (SL); (CNR); (DWB)
| | - Charles N. Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America
- * E-mail: (SL); (CNR); (DWB)
| | - Donald W. Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- * E-mail: (SL); (CNR); (DWB)
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Driscoll I, Snively BM, Espeland MA, Shumaker SA, Rapp SR, Goveas JS, Casanova R, Wactawski‐Wende J, Manson JE, Rossom RC, Brooks J, Hernandez DG, Singleton AB, Resnick SM. P4‐011: A CANDIDATE GENE STUDY OF GENETIC RISK FOR DEMENTIA AND MILD COGNITIVE IMPAIRMENT (MCI) IN WOMEN AGED >65 YEARS: RESULTS FROM THE WOMEN's HEALTH INITIATIVE MEMORY STUDY (WHIMS). Alzheimers Dement 2014. [DOI: 10.1016/j.jalz.2014.05.1525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Ira Driscoll
- University of Wisconsin ‐ MilwaukeeMilwaukeeWisconsinUnited States
| | | | - Mark A. Espeland
- Wake Forest School of MedicineWinston‐SalemNorth CarolinaUnited States
| | - Sally A. Shumaker
- Wake Forest School of MedicineWinston‐SalemNorth CarolinaUnited States
| | - Stephen R. Rapp
- Wake Forest School of MedicineWinston‐SalemNorth CarolinaUnited States
| | | | - Ramon Casanova
- Wake Forest School of MedicineWinston‐SalemNorth CarolinaUnited States
| | | | | | - Rebecca C. Rossom
- HealthPartners Institute for Education and ResearchBloomingtonMinnesotaUnited States
| | - Janet Brooks
- National Institute on AgingBethesdaMarylandUnited States
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Washburn LK, Brosnihan KB, Chappell MC, Diz DI, Gwathmey TM, Nixon PA, Russell GB, Snively BM, O'Shea TM. The renin-angiotensin-aldosterone system in adolescent offspring born prematurely to mothers with preeclampsia. J Renin Angiotensin Aldosterone Syst 2014; 16:529-38. [PMID: 24737639 DOI: 10.1177/1470320314526940] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [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: 06/24/2013] [Accepted: 01/28/2014] [Indexed: 11/16/2022] Open
Abstract
HYPOTHESIS/INTRODUCTION Preeclampsia is associated with alterations in the maternal renin-angiotensin-aldosterone system (RAAS), increased blood pressure (BP), and cardiovascular risk in the offspring. We hypothesized that preeclampsia is associated with alterations in the RAAS in the offspring that persist into adolescence. MATERIALS AND METHODS We compared components of the circulating (n = 111) and renal (n = 160) RAAS in adolescents born prematurely with very low birth weight (VLBW) of preeclamptic (PreE) and normotensive (NoHTN) pregnancies. Multivariable linear regression was used to evaluate potential confounding and intermediate variables. Analyses were stratified by sex. RESULTS Adjusting for race and antenatal steroid exposure, male offspring of PreE mothers had higher circulating aldosterone than those of NoHTN mothers (adjusted mean difference = 109; 95% confidence limits: -9, 227 pmol/L). Further adjustment for current BMI attenuated this difference (adjusted mean difference: 93; 95% confidence limits: -30, 215 pmol/L). CONCLUSION Among male preterm VLBW infants, maternal preeclampsia is associated with increased circulating aldosterone level in adolescence, which appears to be mediated in part by higher BMI.
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Affiliation(s)
- Lisa K Washburn
- Department of Pediatrics, Wake Forest School of Medicine, USA Hypertension and Vascular Research Center, Wake Forest School of Medicine, USA
| | - K Bridget Brosnihan
- Hypertension and Vascular Research Center, Wake Forest School of Medicine, USA
| | - Mark C Chappell
- Hypertension and Vascular Research Center, Wake Forest School of Medicine, USA
| | - Debra I Diz
- Hypertension and Vascular Research Center, Wake Forest School of Medicine, USA
| | - TanYa M Gwathmey
- Hypertension and Vascular Research Center, Wake Forest School of Medicine, USA
| | - Patricia A Nixon
- Department of Pediatrics, Wake Forest School of Medicine, USA Health and Exercise Science, Wake Forest School of Medicine, USA
| | - Gregory B Russell
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, USA
| | - Beverly M Snively
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, USA
| | - T Michael O'Shea
- Department of Pediatrics, Wake Forest School of Medicine, USA Hypertension and Vascular Research Center, Wake Forest School of Medicine, USA
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Bushnell C, Snively BM, Worrall BB, Colton C, Hoogeveen R, Mosley T, Gottesman R, Folsom A, Wagenknecht L. Abstract W P143: Race-specific Effects of Inflammatory and Vascular Remodeling Biomarkers in Ischemic Stroke. Stroke 2014. [DOI: 10.1161/str.45.suppl_1.wp143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Blacks have a higher risk of stroke than whites; inflammatory and vascular remodeling (VR) biomarkers may mediate this risk. We aimed to determine associations between inflammatory and VR biomarkers and ischemic stroke in a bi-racial sample of the Atherosclerosis Risk In Communities (ARIC) cohort.
Methods:
In a case-control pilot study, 133 participants from Forsyth and Jackson Field Centers were identified: 32 blacks and 33 whites with first ischemic stroke after visit 2, and 33 black and 35 white stroke-free controls. We assayed IL-8, IL-10, IL-1 receptor antagonist (IL-1ra), IL-1β, matrix metalloproteinase-9 (MMP-9), and tissue inhibitor of metalloproteinase-1 (TIMP-1) with Quantikine ELISA. We calculated IL-1β/IL-1ra ratio, representing the IL-1 pathway. Biomarkers were covariates in race-specific logistic regression models; if significant, biomarker-by-race interactions were explored.
Results:
Cases were older (mean age 60y vs 56y; p<0.0001); more had hypertension (52% vs 35%; p=0.043), and diabetes (35% vs 13%; p=0.0034). There were no differences in biomarkers between blacks and whites (cases and controls). In blacks, there was a trend toward a reduced risk of stroke with increasing levels of IL-1ra after adjustment (p=0.074). In whites, stroke was associated with higher levels of TIMP-1 (p=0.011; interaction p=0.079) and with higher levels of IL-8 (p=0.011; interaction p=0.11) in the unadjusted, but not adjusted model (Table).
Conclusion:
We identified race-specific associations between biomarkers and incident stroke. VR biomarkers (TIMP-1) may be associated with stroke in whites, and there was a trend towards lower levels of IL-1ra (counter-inflammatory) and risk of stroke in blacks. Larger studies are warranted to confirm these findings and determine if these markers will explain differences in stroke risk in blacks vs whites.
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Affiliation(s)
| | - Beverly M Snively
- Public Health Sciences, Wake Forest Sch of Medicine, Winston Salem, NC
| | | | | | - Ronald Hoogeveen
- Atherosclerosis and Vascular Medicine, Baylor College of Medicine, Houston, TX
| | - Thomas Mosley
- Dept of Medicine, Univ of Mississippi Med Cntr, Jackson, MS
| | | | - Aaron Folsom
- Sch of Public Health, Univ of Minnesota, Minneapolis, MN
| | - Lynne Wagenknecht
- Public Health Sciences, Wake Forest Sch of Medicine, Winston Salem, NC
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Cook JF, Hill DF, Snively BM, Boggs N, Suerken CK, Haq I, Stacy M, McCall WV, Ozelius LJ, Sweadner KJ, Brashear A. Cognitive impairment in rapid-onset dystonia-parkinsonism. Mov Disord 2014; 29:344-50. [PMID: 24436111 DOI: 10.1002/mds.25790] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [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: 07/30/2013] [Revised: 10/29/2013] [Accepted: 11/06/2013] [Indexed: 11/05/2022] Open
Abstract
Rapid-onset dystonia-parkinsonism (RDP) is caused by mutations in the ATP1A3 gene. This observational study sought to determine if cognitive performance is decreased in patients with RDP compared with mutation-negative controls. We studied 22 familial RDP patients, 3 non-motor-manifesting mutation-positive family members, 29 mutation-negative family member controls in 9 families, and 4 unrelated RDP patients, totaling 58 individuals. We administered a movement disorder assessment, including the Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) and the Unified Parkinson's Disease Rating Scale (UPDRS) and a cognitive battery of memory and learning, psychomotor speed, attention, and executive function. The cognitive battery was designed to evaluate a wide range of functions; recognition memory instruments were selected to be relatively pure measures of delayed memory, devoid of significant motor or vocal production limitations. Comparisons of standardized cognitive scores were assessed both with and without controlling for psychomotor speed and similarly for severity of depressive symptoms. A majority of RDP patients had onset of motor symptoms by age 25 and had initial symptom presentation in the upper body (face, mouth, or arm). Among patients, the BFMDRS (mean ± SD, 52.1 ± 29.5) and UPDRS motor subscore (29.8 ± 12.7) confirmed dystonia-parkinsonism. The affected RDP patients performed more poorly, on average, than mutation-negative controls for all memory and learning, psychomotor speed, attention, and executive function scores (all P ≤ 0.01). These differences persisted after controlling for psychomotor speed and severity of depressive symptoms. Impaired cognitive function may be a manifestation of ATP1A3 mutation and RDP.
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Affiliation(s)
- Jared F Cook
- Department of Neurology, Wake Forest School of Medicine, Wake Forest Baptist Health, Winston-Salem, North Carolina, USA
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