401
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Guerra F, Stringhini S, Vollenweider P, Waeber G, Marques-Vidal P. Socio-demographic and behavioural determinants of weight gain in the Swiss population. BMC Public Health 2015; 15:73. [PMID: 25636964 PMCID: PMC4320497 DOI: 10.1186/s12889-015-1451-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2014] [Accepted: 01/20/2015] [Indexed: 01/10/2023] Open
Abstract
Background In Switzerland, socio-demographic and behavioural factors are associated with obesity, but no study ever assessed their impact on weight gain using prospective data. Methods Data from 4,469 participants (53.0% women), aged 35 to 75 years at baseline and followed for 5.5 years. Weight gain was considered as a rate (kg/year) or as gaining ≥5 kg during the study period. Results Rate of weight gain was lower among participants who were older (mean ± standard deviation: 0.46 ± 0.92, 0.33 ± 0.88, 0.21 ± 0.86 and 0.06 ± 0.74 kg/year in participants aged [35-45], [45-55], [55–65] and [65+] years, respectively, P<0.001); physically active (0.27 ± 0.82 vs. 0.35 ± 0.95 kg/year for sedentary, P < 0.005) or living in couple (0.29 ± 0.84 vs. 0.35 ± 0.96 kg/year for living single, P < 0.05), and higher among current smokers (0.41 ± 0.97, 0.26 ± 0.84 and 0.29±0.85 kg/year for current, former and never smokers, respectively, p<0.001). These findings were further confirmed by multivariable analysis. Multivariable logistic regression showed that receiving social help, being a current smoker or obese increased the likelihood of gaining ≥5 Kg: Odds ratio (OR) and 95% confidence interval (CI) 1.43 (1.16-1.77); 1.63 (1.35-1.95) and 1.95 (1.57-2.43), respectively, while living in couple or being physically active decreased the risk: 0.73 (0.62-0.86) and 0.72 (0.62-0.83), respectively. No association was found between weight gain and gender, being born in Switzerland or education. Conclusions In Switzerland, financial difficulties (indicated by receiving social help) and current smoking were associated with increases in body weight over a 5 years follow-up. Living in couple, being older or physically active were protective against weight gain. Electronic supplementary material The online version of this article (doi:10.1186/s12889-015-1451-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Filipa Guerra
- Faculty of Medicine, University of Lisbon, Lisbon, Portugal.
| | - Silvia Stringhini
- Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland.
| | - Peter Vollenweider
- Department of Internal Medicine, Lausanne University Hospital (CHUV), Rue du Bugnon 46, Lausanne, 1011, Switzerland.
| | - Gérard Waeber
- Department of Internal Medicine, Lausanne University Hospital (CHUV), Rue du Bugnon 46, Lausanne, 1011, Switzerland.
| | - Pedro Marques-Vidal
- Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland. .,Department of Internal Medicine, Lausanne University Hospital (CHUV), Rue du Bugnon 46, Lausanne, 1011, Switzerland.
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402
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Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression. Genetics 2015; 199:695-710. [PMID: 25585620 DOI: 10.1534/genetics.114.171686] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Accounting for gene-environment (G×E) interactions in complex trait association studies can facilitate our understanding of genetic heterogeneity under different environmental exposures, improve the ability to discover susceptible genes that exhibit little marginal effect, provide insight into the biological mechanisms of complex diseases, help to identify high-risk subgroups in the population, and uncover hidden heritability. However, significant G×E interactions can be difficult to find. The sample sizes required for sufficient power to detect association are much larger than those needed for genetic main effects, and interactions are sensitive to misspecification of the main-effects model. These issues are exacerbated when working with binary phenotypes and rare variants, which bear less information on association. In this work, we present a similarity-based regression method for evaluating G×E interactions for rare variants with binary traits. The proposed model aggregates the genetic and G×E information across markers, using genetic similarity, thus increasing the ability to detect G×E signals. The model has a random effects interpretation, which leads to robustness against main-effect misspecifications when evaluating G×E interactions. We construct score tests to examine G×E interactions and a computationally efficient EM algorithm to estimate the nuisance variance components. Using simulations and data applications, we show that the proposed method is a flexible and powerful tool to study the G×E effect in common or rare variant studies with binary traits.
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403
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Urrutia E, Lee S, Maity A, Zhao N, Shen J, Li Y, Wu MC. Rare variant testing across methods and thresholds using the multi-kernel sequence kernel association test (MK-SKAT). STATISTICS AND ITS INTERFACE 2015; 8:495-505. [PMID: 26740853 PMCID: PMC4698916 DOI: 10.4310/sii.2015.v8.n4.a8] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Analysis of rare genetic variants has focused on region-based analysis wherein a subset of the variants within a genomic region is tested for association with a complex trait. Two important practical challenges have emerged. First, it is difficult to choose which test to use. Second, it is unclear which group of variants within a region should be tested. Both depend on the unknown true state of nature. Therefore, we develop the Multi-Kernel SKAT (MK-SKAT) which tests across a range of rare variant tests and groupings. Specifically, we demonstrate that several popular rare variant tests are special cases of the sequence kernel association test which compares pair-wise similarity in trait value to similarity in the rare variant genotypes between subjects as measured through a kernel function. Choosing a particular test is equivalent to choosing a kernel. Similarly, choosing which group of variants to test also reduces to choosing a kernel. Thus, MK-SKAT uses perturbation to test across a range of kernels. Simulations and real data analyses show that our framework controls type I error while maintaining high power across settings: MK-SKAT loses power when compared to the kernel for a particular scenario but has much greater power than poor choices.
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Affiliation(s)
- Eugene Urrutia
- Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Seunggeun Lee
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48105, USA
| | - Arnab Maity
- Department of Statistics, North Carolina State University, 2311 Stinson Drive, Raleigh, NC 27695, USA
| | - Ni Zhao
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA 98109, USA
| | - Judong Shen
- Quantitative Sciences, R&D, GlaxoSmithKline, 5 Moore Drive, Research Triangle Park, NC 27709, USA
| | - Yun Li
- Department of Genetics and Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Michael C. Wu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA 98109, USA
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404
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Casillas A, Iglesias K, Flatz A, Burnand B, Peytremann-Bridevaux I. No consistent association between processes-of-care and health-related quality of life among patients with diabetes: a missing link? BMJ Open Diabetes Res Care 2015; 3:e000042. [PMID: 25621176 PMCID: PMC4298028 DOI: 10.1136/bmjdrc-2014-000042] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2014] [Revised: 09/24/2014] [Accepted: 11/04/2014] [Indexed: 11/05/2022] Open
Abstract
PURPOSE Health-related quality of life (HRQoL) is considered a representative outcome in the evaluation of chronic disease management initiatives emphasizing patient-centered care. We evaluated the association between receipt of processes-of-care (PoC) for diabetes and HRQoL. METHODS This cross-sectional study used self-reported data from non-institutionalized adults with diabetes in a Swiss canton. Outcomes were the physical/mental composites of the short form health survey 12 (SF-12) physical composite score, mental composite score (PCS, MCS) and the Audit of Diabetes-Dependent Quality of Life (ADDQoL). Main exposure variables were receipt of six PoC for diabetes in the past 12 months, and the Patient Assessment of Chronic Illness Care (PACIC) score. We performed linear regressions to examine the association between PoC, PACIC and the three composites of HRQoL. RESULTS Mean age of the 519 patients was 64.5 years (SD 11.3); 60% were male, 87% reported type 2 or undetermined diabetes and 48% had diabetes for over 10 years. Mean HRQoL scores were SF-12 PCS: 43.4 (SD 10.5), SF-12 MCS: 47.0 (SD 11.2) and ADDQoL: -1.6 (SD 1.6). In adjusted models including all six PoC simultaneously, receipt of influenza vaccine was associated with lower ADDQoL (β=-0.4, p≤0.01) and foot examination was negatively associated with SF-12 PCS (β=-1.8, p≤0.05). There was no association or trend towards a negative association when these PoC were reported as combined measures. PACIC score was associated only with the SF-12 MCS (β=1.6, p≤0.05). CONCLUSIONS PoC for diabetes did not show a consistent association with HRQoL in a cross-sectional analysis. This may represent an effect lag time between time of process received and health-related quality of life. Further research is needed to study this complex phenomenon.
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Affiliation(s)
- Alejandra Casillas
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital , Lausanne, Vaud , Switzerland
| | - Katia Iglesias
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital , Lausanne, Vaud , Switzerland
| | - Aline Flatz
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital , Lausanne, Vaud , Switzerland
| | - Bernard Burnand
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital , Lausanne, Vaud , Switzerland
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405
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Rusch A, Ziltener G, Nackaerts K, Weder W, Stahel RA, Felley-Bosco E. Prevalence of BRCA-1 associated protein 1 germline mutation in sporadic malignant pleural mesothelioma cases. Lung Cancer 2015; 87:77-9. [DOI: 10.1016/j.lungcan.2014.10.017] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2014] [Revised: 10/20/2014] [Accepted: 10/27/2014] [Indexed: 10/24/2022]
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406
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Rodgers S, Müller M, Rössler W, Castelao E, Preisig M, Ajdacic-Gross V. Externalizing disorders and substance use: empirically derived subtypes in a population-based sample of adults. Soc Psychiatry Psychiatr Epidemiol 2015; 50:7-17. [PMID: 24907047 DOI: 10.1007/s00127-014-0898-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2013] [Accepted: 05/25/2014] [Indexed: 01/20/2023]
Abstract
PURPOSE Attention-deficit/hyperactivity disorder (ADHD), conduct disorder (CD), and oppositional defiant disorder (ODD) are common externalizing disorders of childhood. The common effects of these disorders on substance abuse need further investigation. The current study investigated the joint clusters of childhood/adolescence ADHD, CD, and ODD, and their influence on substance abuse/dependence in a population-based sample of adults. METHODS The data were drawn from the PsyCoLaus study (n = 3,720) conducted in Lausanne, Switzerland. The population-based sample included 238 subjects meeting criteria for ADHD/ODD/CD diagnoses before the age of 15. Latent class analyses (LCA) were performed to derive comorbidity subtypes, which were subsequently characterized with respect to psychosocial correlates and substance use. RESULTS The best fit in LCAs was achieved with three latent classes: an ADHD subtype (35.7 %); an externalizing multimorbid subtype (33.6 %) involving ODD, ADHD, and CD; and a third subtype with CD (30.7 %). The CD subtype showed the highest association with substance use. Apart from this, the externalizing multimorbid subtype was also significantly linked to substance use. The ADHD subtype had only elevated frequencies for alcohol dependence in comparison with subjects that had no history of ADHD, ODD, and CD during childhood or adolescence. Finally, important interactions between subtypes and sex were observed with regard to substance use. CONCLUSIONS This study provides evidence showing that subtyping the externalizing disorders, ADHD, ODD and CD, along their comorbidity patterns leads to important differences regarding substance use. This could have implications for the etiology, prevention, and treatment of substance use disorders.
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Affiliation(s)
- Stephanie Rodgers
- Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich University Hospital of Psychiatry, PO Box 1930, CH-8021, Zurich, Switzerland,
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407
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Luca G, Haba Rubio J, Andries D, Tobback N, Vollenweider P, Waeber G, Marques Vidal P, Preisig M, Heinzer R, Tafti M. Age and gender variations of sleep in subjects without sleep disorders. Ann Med 2015. [PMID: 26224201 DOI: 10.3109/07853890.2015.1074271] [Citation(s) in RCA: 111] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Although sleep is a biomarker for general health and pathological conditions, its changes across age and gender are poorly understood. METHODS Subjective evaluation of sleep was assessed by questionnaires in 5,064 subjects, and 2,966 were considered without sleep disorders. Objective evaluation was performed by polysomnography in 2,160 subjects, and 1,147 were considered without sleep disorders. Only subjects without sleep disorders were included (aged 40-80 years). RESULTS Aging was strongly associated with morning preference. Older subjects, especially women, complained less about sleepiness, and pathological sleepiness was significantly lower than in younger subjects. Self-reported sleep quality and daytime functioning improved with aging. Sleep latency increased with age in women, while sleep efficiency decreased with age in both genders. Deep slow-wave sleep decreased with age, but men were more affected. Spectral power densities within slow waves (< 5 Hz) and fast spindles (14-14.75 Hz) decreased, while theta-alpha (5-1 Hz) and beta (16.75-25 Hz) power in non-rapid eye movement sleep increased with aging. In REM sleep, aging was associated with a progressive decrease in delta (1.25-4.5 Hz) and increase in higher frequencies. CONCLUSIONS Our findings indicate that sleep complaints should not be viewed as part of normal aging but should prompt the identification of underlying causes.
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Affiliation(s)
- Gianina Luca
- a Center for Integrative Genomics (CIG), University of Lausanne , Lausanne , Switzerland
| | - José Haba Rubio
- b Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV) , Lausanne , Switzerland
| | - Daniela Andries
- b Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV) , Lausanne , Switzerland
| | - Nadia Tobback
- b Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV) , Lausanne , Switzerland
| | - Peter Vollenweider
- c Department of Medicine , Internal Medicine, Lausanne University Hospital (CHUV) , Lausanne , Switzerland
| | - Gérard Waeber
- c Department of Medicine , Internal Medicine, Lausanne University Hospital (CHUV) , Lausanne , Switzerland
| | - Pedro Marques Vidal
- c Department of Medicine , Internal Medicine, Lausanne University Hospital (CHUV) , Lausanne , Switzerland
| | - Martin Preisig
- d Department of Psychiatry , Lausanne University Hospital (CHUV) , Lausanne , Switzerland
| | - Raphaël Heinzer
- b Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV) , Lausanne , Switzerland
| | - Mehdi Tafti
- a Center for Integrative Genomics (CIG), University of Lausanne , Lausanne , Switzerland.,b Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV) , Lausanne , Switzerland
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408
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Marques-Vidal P, Vollenweider P, Waeber G. Alcohol consumption and incidence of type 2 diabetes. Results from the CoLaus study. Nutr Metab Cardiovasc Dis 2015; 25:75-84. [PMID: 25439660 DOI: 10.1016/j.numecd.2014.08.010] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2014] [Revised: 07/25/2014] [Accepted: 08/18/2014] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND AIMS Moderate alcohol consumption has been shown to decrease the risk of type 2 diabetes (T2DM), but whether this association is also valid for impaired fasting glucose (IFG) is less well known. We aimed at assessing the impact of alcohol consumption and of type of alcoholic beverage on the incidence of T2DM and T2DM + IFG. METHODS AND RESULTS As many as 4765 participants (2613 women, mean age 51.7 ± 10.5 years) without T2DM at baseline and followed for an average of 5.5 years. The association between alcohol consumption, type of alcoholic beverage and outcomes was assessed after adjustment for a validated T2DM risk score. During follow-up 284 participants developed T2DM and 643 developed IFG. On bivariate analysis, alcohol consumption was positively associated with the risk of developing T2DM or T2DM + IFG. Moderate (14-27 units/week) alcohol consumption tended to be associated with a lower risk of T2DM, but no protective effect was found for T2DM + IFG. Multivariable-adjusted odds ratio (OR) and (95% confidence interval) for T2DM: 0.89 (0.65-1.22), 0.66 (0.42-1.03) and 1.63 (0.93-2.84) for 1-13, 14-27 and 28 + units/week, respectively (p for quadratic trend < 0.005). For T2DM + IFG, the corresponding ORs were 1.09 (0.90-1.32), 1.33 (1.02-1.74) and 1.54 (0.99-2.39), respectively, p for trend = 0.03. No specific effect of alcoholic beverage (wine, beer or spirits) was found for T2DM or for T2DM + IFG. CONCLUSION Moderate alcohol consumption is associated with a reduced risk of developing T2DM, but not of developing T2DM + IFG. No specific effect of type of alcoholic beverage was found.
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Affiliation(s)
- P Marques-Vidal
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
| | - P Vollenweider
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
| | - G Waeber
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
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409
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Chen X, Li L, Zhou T, Li Z. Prevalence of hypertension in rural areas of china: a meta-analysis of published studies. PLoS One 2014; 9:e115462. [PMID: 25521114 PMCID: PMC4270770 DOI: 10.1371/journal.pone.0115462] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Accepted: 11/23/2014] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Hypertension is one of the leading causes of disease burden across the world. In China, the latest nationwide survey of prevalence of hypertension was ten year ago, and data in rural areas is little known. More information about hypertension prevalence could help to improve overall antihypertensive health care. We aimed to estimate the pooled prevalence of hypertension in rural areas of China. METHODS Comprehensive electronic searches of PubMed, Web of Knowledge, Chinese Web of Knowledge, Wangfang, Weipu and SinoMed databases were conducted to identify any study in each database published from January 1, 2004 to December 31, 2013, reporting the prevalence of hypertension in Chinese rural areas. Prevalence estimates were stratified by age, area, sex, publication year, and sample size. All statistical calculations were made using the Stata Version 11.0 (College Station, Texas) and Statsdirect Version 2.7.9. RESULTS We identified 124 studies with a total population of 3,735,534 in the present meta-analysis. Among people aged 18 years old in Chinese rural areas, the summarized prevalence is 22.81% (19.41%-26.41%). Subgroup analysis shows the following results: for male 24.46% (21.19%-27.89%, for female 22.17% (18.25%-26.35%). For 2004-2006: 18.94% (14.41%-23.94%), for 2007-2009, 21.24% (15.98%-27.01%) for 2010-2013: 26.68%, (20.79%-33.02%). For Northern region 25.76% (22.36%-29.32%), for Southern region 19.30%, (15.48%-24.08%). CONCLUSIONS The last decade witnessed the growth in prevalence of hypertension in rural areas of China compared with the fourth national investigation, which has climbed the same level as the urban area. Guidelines for screening and treatment of hypertension in rural areas need to be given enough attention.
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Affiliation(s)
- Xiaofang Chen
- Xiangya Nursing School, Central South University, Changsha, Hunan Province, China
- Nursing Department, The Third Affiliated Hostipal Of Southern Medical Universtiy, Guangzhou, Guangdong Province, China
| | - Lezhi Li
- Department of Nursing, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Tao Zhou
- Department of Cardiology, the Third Affiliated Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Zhanzhan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Central South University, Changsha, Hunan Province, China
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410
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Genome-wide association study reveals a polymorphism in the podocyte receptor RANK for the decline of renal function in coronary patients. PLoS One 2014; 9:e114240. [PMID: 25478860 PMCID: PMC4257683 DOI: 10.1371/journal.pone.0114240] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2014] [Accepted: 11/04/2014] [Indexed: 11/19/2022] Open
Abstract
Impaired kidney function is a significant health problem and a major concern in clinical routine and is routinely determined by decreased glomerular filtration rate (GFR). In contrast to single assessment of a patients' kidney function providing only limited information on patients' health, serial measurements of GFR clearly improves the validity of diagnosis. The decline of kidney function has recently been reported to be predictive for mortality and vascular events in coronary patients. However, it has not been investigated for genetic association in GWA studies. This study investigates for the first time the association of cardiometabolic polymorphisms with the decline of estimated GFR during a 4 year follow up in 583 coronary patients, using the Cardio-Metabo Chip. We revealed a suggestive association with 3 polymorphisms, surpassing genome-wide significance (p = 4.0 e-7). The top hit rs17069906 (p = 5.6 e-10) is located within the genomic region of RANK, recently demonstrated to be an important player in the adaptive recovery response in podocytes and suggested as a promising therapeutic target in glomerular diseases.
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411
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Wu Y, Williams EG, Dubuis S, Mottis A, Jovaisaite V, Houten SM, Argmann CA, Faridi P, Wolski W, Kutalik Z, Zamboni N, Auwerx J, Aebersold R. Multilayered genetic and omics dissection of mitochondrial activity in a mouse reference population. Cell 2014; 158:1415-1430. [PMID: 25215496 DOI: 10.1016/j.cell.2014.07.039] [Citation(s) in RCA: 188] [Impact Index Per Article: 17.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2013] [Revised: 06/02/2014] [Accepted: 07/28/2014] [Indexed: 02/06/2023]
Abstract
The manner by which genotype and environment affect complex phenotypes is one of the fundamental questions in biology. In this study, we quantified the transcriptome--a subset of the metabolome--and, using targeted proteomics, quantified a subset of the liver proteome from 40 strains of the BXD mouse genetic reference population on two diverse diets. We discovered dozens of transcript, protein, and metabolite QTLs, several of which linked to metabolic phenotypes. Most prominently, Dhtkd1 was identified as a primary regulator of 2-aminoadipate, explaining variance in fasted glucose and diabetes status in both mice and humans. These integrated molecular profiles also allowed further characterization of complex pathways, particularly the mitochondrial unfolded protein response (UPR(mt)). UPR(mt) shows strikingly variant responses at the transcript and protein level that are remarkably conserved among C. elegans, mice, and humans. Overall, these examples demonstrate the value of an integrated multilayered omics approach to characterize complex metabolic phenotypes.
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Affiliation(s)
- Yibo Wu
- Department of Biology, Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule Zürich (ETHZ), Zurich 8093, Switzerland
| | - Evan G Williams
- Laboratory of Integrative and Systems Physiology, Interfaculty Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland
| | - Sébastien Dubuis
- Department of Biology, Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule Zürich (ETHZ), Zurich 8093, Switzerland
| | - Adrienne Mottis
- Laboratory of Integrative and Systems Physiology, Interfaculty Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland
| | - Virginija Jovaisaite
- Laboratory of Integrative and Systems Physiology, Interfaculty Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland
| | - Sander M Houten
- Department of Clinical Chemistry, Laboratory Genetic Metabolic Diseases and Department of Pediatrics, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Carmen A Argmann
- Department of Medical Biochemistry, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Pouya Faridi
- Department of Biology, Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule Zürich (ETHZ), Zurich 8093, Switzerland; Department of Traditional Pharmacy, School of Pharmacy and Pharmaceutical Sciences, Shiraz University of Medical Sciences, Shiraz 71349-14693, Iran
| | - Witold Wolski
- Department of Biology, Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule Zürich (ETHZ), Zurich 8093, Switzerland
| | - Zoltán Kutalik
- Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne 1010, Switzerland; Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Nicola Zamboni
- Department of Biology, Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule Zürich (ETHZ), Zurich 8093, Switzerland
| | - Johan Auwerx
- Laboratory of Integrative and Systems Physiology, Interfaculty Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland.
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule Zürich (ETHZ), Zurich 8093, Switzerland; Faculty of Science, University of Zurich, Zurich 8057, Switzerland.
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412
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Glaus J, Vandeleur CL, von Känel R, Lasserre AM, Strippoli MPF, Gholam-Rezaee M, Castelao E, Marques-Vidal P, Bovet P, Merikangas K, Mooser V, Waeber G, Vollenweider P, Aubry JM, Preisig M. Associations between mood, anxiety or substance use disorders and inflammatory markers after adjustment for multiple covariates in a population-based study. J Psychiatr Res 2014; 58:36-45. [PMID: 25088287 DOI: 10.1016/j.jpsychires.2014.07.012] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Revised: 06/23/2014] [Accepted: 07/14/2014] [Indexed: 11/29/2022]
Abstract
Inflammation is one possible mechanism underlying the associations between mental disorders and cardiovascular diseases (CVD). However, studies on mental disorders and inflammation have yielded inconsistent results and the majority did not adjust for potential confounding factors. We examined the associations of several pro-inflammatory cytokines (IL-1β, IL-6 and TNF-α) and high sensitive C-reactive protein (hsCRP) with lifetime and current mood, anxiety and substance use disorders (SUD), while adjusting for multiple covariates. The sample included 3719 subjects, randomly selected from the general population, who underwent thorough somatic and psychiatric evaluations. Psychiatric diagnoses were made with a semi-structured interview. Major depressive disorder was subtyped into "atypical", "melancholic", "combined atypical-melancholic" and "unspecified". Associations between inflammatory markers and psychiatric diagnoses were assessed using multiple linear and logistic regression models. Lifetime bipolar disorders and atypical depression were associated with increased levels of hsCRP, but not after multivariate adjustment. After multivariate adjustment, SUD remained associated with increased hsCRP levels in men (β = 0.13 (95% CI: 0.03,0.23)) but not in women. After multivariate adjustment, lifetime combined and unspecified depression were associated with decreased levels of IL-6 (β = -0.27 (-0.51,-0.02); β = -0.19 (-0.34,-0.05), respectively) and TNF-α (β = -0.16 (-0.30,-0.01); β = -0.10 (-0.19,-0.02), respectively), whereas current combined and unspecified depression were associated with decreased levels of hsCRP (β = -0.20 (-0.39,-0.02); β = -0.12 (-0.24,-0.01), respectively). Our data suggest that the significant associations between increased hsCRP levels and mood disorders are mainly attributable to the effects of comorbid disorders, medication as well as behavioral and physical CVRFs.
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Affiliation(s)
- Jennifer Glaus
- Department of Psychiatry, Lausanne University Hospital, Switzerland; Department of Mental Health and Psychiatry, Geneva University, Switzerland.
| | | | - Roland von Känel
- Division of Psychosomatic Medicine, Inselspital, Bern University Hospital, and University of Bern, Switzerland
| | | | | | | | - Enrique Castelao
- Department of Psychiatry, Lausanne University Hospital, Switzerland
| | - Pedro Marques-Vidal
- Institute of Social and Preventive Medicine, Lausanne University Hospital, Switzerland
| | - Pascal Bovet
- Institute of Social and Preventive Medicine, Lausanne University Hospital, Switzerland
| | - Kathleen Merikangas
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Vincent Mooser
- Faculty of Biology and Medicine, University of Lausanne, Switzerland
| | - Gérard Waeber
- Department of Internal Medicine, Lausanne University Hospital, Switzerland
| | - Peter Vollenweider
- Department of Internal Medicine, Lausanne University Hospital, Switzerland
| | - Jean-Michel Aubry
- Department of Mental Health and Psychiatry, Geneva University, Switzerland
| | - Martin Preisig
- Department of Psychiatry, Lausanne University Hospital, Switzerland
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413
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Waterworth DM, Li L, Scott R, Warren L, Gillson C, Aponte J, Sarov-Blat L, Sprecher D, Dupuis J, Reiner A, Psaty BM, Tracy RP, Lin H, McPherson R, Chissoe S, Wareham N, Ehm MG. A low-frequency variant in MAPK14 provides mechanistic evidence of a link with myeloperoxidase: a prognostic cardiovascular risk marker. J Am Heart Assoc 2014; 3:jah3667. [PMID: 25164947 PMCID: PMC4310399 DOI: 10.1161/jaha.114.001074] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Genetics can be used to predict drug effects and generate hypotheses around alternative indications. To support Losmapimod, a p38 mitogen-activated protein kinase inhibitor in development for acute coronary syndrome, we characterized gene variation in MAPK11/14 genes by exome sequencing and follow-up genotyping or imputation in participants well-phenotyped for cardiovascular and metabolic traits. METHODS AND RESULTS Investigation of genetic variation in MAPK11 and MAPK14 genes using additive genetic models in linear or logistic regression with cardiovascular, metabolic, and biomarker phenotypes highlighted an association of RS2859144 in MAPK14 with myeloperoxidase in a dyslipidemic population (Genetic Epidemiology of Metabolic Syndrome Study), P=2.3×10(-6)). This variant (or proxy) was consistently associated with myeloperoxidase in the Framingham Heart Study and Cardiovascular Health Study studies (replication meta-P=0.003), leading to a meta-P value of 9.96×10(-7) in the 3 dyslipidemic groups. The variant or its proxy was then profiled in additional population-based cohorts (up to a total of 58 930 subjects) including Cohorte Lausannoise, Ely, Fenland, European Prospective Investigation of Cancer, London Life Sciences Prospective Population Study, and the Genetics of Obesity Associations study obesity case-control for up to 40 cardiovascular and metabolic traits. Overall analysis identified the same single nucleotide polymorphisms to be nominally associated consistently with glomerular filtration rate (P=0.002) and risk of obesity (body mass index ≥30 kg/m(2), P=0.004). CONCLUSIONS As myeloperoxidase is a prognostic marker of coronary events, the MAPK14 variant may provide a mechanistic link between p38 map kinase and these events, providing information consistent with current indication of Losmapimod for acute coronary syndrome. If replicated, the association with glomerular filtration rate, along with previous biological findings, also provides support for kidney diseases as alternative indications.
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Affiliation(s)
| | - Li Li
- GlaxoSmithKline, Research Triangle Park, NC (L.L., L.W., J.A., S.C., M.G.E.)
| | - Robert Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK (R.S., C.G., N.W.)
| | - Liling Warren
- GlaxoSmithKline, Research Triangle Park, NC (L.L., L.W., J.A., S.C., M.G.E.)
| | - Christopher Gillson
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK (R.S., C.G., N.W.)
| | - Jennifer Aponte
- GlaxoSmithKline, Research Triangle Park, NC (L.L., L.W., J.A., S.C., M.G.E.)
| | - Lea Sarov-Blat
- GlaxoSmithKline, Philadelphia, PA (D.M.W., L.S.B., D.S.)
| | | | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA (J.D.) Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA (J.D.)
| | - Alex Reiner
- Group Health Research Institute, Group Health Cooperative, Seattle, WA (A.R.)
| | | | - Russell P Tracy
- Department of Medicine, Boston University School of Medicine, Boston, MA (R.P.T., H.L.)
| | - Honghuang Lin
- Boston University and National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, MA (H.L.) Department of Medicine, Boston University School of Medicine, Boston, MA (R.P.T., H.L.)
| | - Ruth McPherson
- Division of Cardiology and Lipoprotein and Atherosclerosis Research Group, University of Ottawa Heart Institute, Ottawa, Ontario, Canada (R.M.P.)
| | - Stephanie Chissoe
- GlaxoSmithKline, Research Triangle Park, NC (L.L., L.W., J.A., S.C., M.G.E.)
| | - Nick Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK (R.S., C.G., N.W.)
| | - Margaret G Ehm
- GlaxoSmithKline, Research Triangle Park, NC (L.L., L.W., J.A., S.C., M.G.E.)
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414
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Faeh D, Marques-Vidal P, Brändle M, Braun J, Rohrmann S. Diabetes risk scores and death: predictability and practicability in two different populations. Eur J Public Health 2014; 25:26-8. [PMID: 25085474 DOI: 10.1093/eurpub/cku114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The aim was to examine the capacity of commonly used type 2 diabetes mellitus (T2DM) risk scores to predict overall mortality. The US-based NHANES III (n = 3138; 982 deaths) and the Swiss-based CoLaus study (n = 3946; 191 deaths) were used. The predictive value of eight T2DM risk scores regarding overall mortality was tested. The Griffin score, based on few self-reported parameters, presented the best (NHANES III) and second best (CoLaus) predictive capacity. Generally, the predictive capacity of scores based on clinical (anthropometrics, lifestyle, history) and biological (blood parameters) data was not better than of scores based solely on clinical self-reported data. T2DM scores can be validly used to predict mortality risk in general populations without diabetes. Comparison with other scores could further show whether such scores also suit as a screening tool for quick overall health risk assessment.
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Affiliation(s)
- David Faeh
- 1 Unit of Demography and Health Statistics and Division of Cancer Epidemiology and Prevention, Institute of Social and Preventive Medicine, University of Zurich, Zurich, Switzerland
| | - Pedro Marques-Vidal
- 2 Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland
| | - Michael Brändle
- 3 Division of Endocrinology and Diabetes, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Julia Braun
- 1 Unit of Demography and Health Statistics and Division of Cancer Epidemiology and Prevention, Institute of Social and Preventive Medicine, University of Zurich, Zurich, Switzerland
| | - Sabine Rohrmann
- 1 Unit of Demography and Health Statistics and Division of Cancer Epidemiology and Prevention, Institute of Social and Preventive Medicine, University of Zurich, Zurich, Switzerland
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415
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Kilani N, Waeber G, Vollenweider P, Marques-Vidal P. Markers of iron metabolism and metabolic syndrome in Swiss adults. Nutr Metab Cardiovasc Dis 2014; 24:e28-e29. [PMID: 24974320 DOI: 10.1016/j.numecd.2014.04.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2014] [Revised: 04/29/2014] [Accepted: 04/30/2014] [Indexed: 11/25/2022]
Affiliation(s)
- N Kilani
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - G Waeber
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - P Vollenweider
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - P Marques-Vidal
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland; Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland.
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416
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Guessous I, Ponte B, Marques-Vidal P, Paccaud F, Gaspoz JM, Burnier M, Waeber G, Vollenweider P, Bochud M. Clinical and Biological Determinants of Kidney Outcomes in a Population-Based Cohort Study. Kidney Blood Press Res 2014; 39:74-85. [DOI: 10.1159/000355779] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/15/2014] [Indexed: 11/19/2022] Open
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417
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Benaglio P, San Jose PF, Avila-Fernandez A, Ascari G, Harper S, Manes G, Ayuso C, Hamel C, Berson EL, Rivolta C. Mutational screening of splicing factor genes in cases with autosomal dominant retinitis pigmentosa. Mol Vis 2014; 20:843-51. [PMID: 24959063 PMCID: PMC4063357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2014] [Accepted: 06/16/2014] [Indexed: 11/04/2022] Open
Abstract
PURPOSE Mutations in genes encoding proteins from the tri-snRNP complex of the spliceosome account for more than 12% of cases of autosomal dominant retinitis pigmentosa (adRP). Although the exact mechanism by which splicing factor defects trigger photoreceptor death is not completely clear, their role in retinitis pigmentosa has been demonstrated by several genetic and functional studies. To test for possible novel associations between splicing factors and adRP, we screened four tri-snRNP splicing factor genes (EFTUD2, PRPF4, NHP2L1, and AAR2) as candidate disease genes. METHODS We screened up to 303 patients with adRP from Europe and North America who did not carry known RP mutations. Exon-PCR and Sanger methods were used to sequence the NHP2L1 and AAR2 genes, while the sequences of EFTUD2 and PRPF4 were obtained by using long-range PCRs spanning coding and non-coding regions followed by next-generation sequencing. RESULTS We detected novel missense changes in individual patients in the sequence of the genes PRPF4 and EFTUD2, but the role of these changes in relationship to disease could not be verified. In one other patient we identified a novel nucleotide substitution in the 5' untranslated region (UTR) of NHP2L1, which did not segregate with the disease in the family. CONCLUSIONS The absence of clearly pathogenic mutations in the candidate genes screened in our cohort suggests that EFTUD2, PRPF4, NHP2L1, and AAR2 are either not involved in adRP or are associated with the disease in rare instances, at least as observed in this study in patients of European and North American origin.
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Affiliation(s)
- Paola Benaglio
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
| | - Patricia Fernandez San Jose
- Department of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital (IIS-FJD, UAM), Madrid, Spain,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, Madrid, Spain
| | - Almudena Avila-Fernandez
- Department of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital (IIS-FJD, UAM), Madrid, Spain,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, Madrid, Spain
| | - Giulia Ascari
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
| | - Shyana Harper
- The Berman-Gund Laboratory for the Study of Retinal Degenerations, Harvard Medical School, Massachusetts Eye and Ear, Boston, MA
| | - Gaël Manes
- INSERM U1051, Institut des Neurosciences de Montpellier, Hôpital Saint Eloi, Montpellier, France
| | - Carmen Ayuso
- Department of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital (IIS-FJD, UAM), Madrid, Spain,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, Madrid, Spain
| | - Christian Hamel
- INSERM U1051, Institut des Neurosciences de Montpellier, Hôpital Saint Eloi, Montpellier, France
| | - Eliot L. Berson
- The Berman-Gund Laboratory for the Study of Retinal Degenerations, Harvard Medical School, Massachusetts Eye and Ear, Boston, MA
| | - Carlo Rivolta
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
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418
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Lechner J, Porter LF, Rice A, Vitart V, Armstrong DJ, Schorderet DF, Munier FL, Wright AF, Inglehearn CF, Black GC, Simpson DA, Manson F, Willoughby CE. Enrichment of pathogenic alleles in the brittle cornea gene, ZNF469, in keratoconus. Hum Mol Genet 2014; 23:5527-35. [PMID: 24895405 DOI: 10.1093/hmg/ddu253] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Keratoconus, a common inherited ocular disorder resulting in progressive corneal thinning, is the leading indication for corneal transplantation in the developed world. Genome-wide association studies have identified common SNPs 100 kb upstream of ZNF469 strongly associated with corneal thickness. Homozygous mutations in ZNF469 and PR domain-containing protein 5 (PRDM5) genes result in brittle cornea syndrome (BCS) Types 1 and 2, respectively. BCS is an autosomal recessive generalized connective tissue disorder associated with extreme corneal thinning and a high risk of corneal rupture. Some individuals with heterozygous PRDM5 mutations demonstrate a carrier ocular phenotype, which includes a mildly reduced corneal thickness, keratoconus and blue sclera. We hypothesized that heterozygous variants in PRDM5 and ZNF469 predispose to the development of isolated keratoconus. We found a significant enrichment of potentially pathologic heterozygous alleles in ZNF469 associated with the development of keratoconus (P = 0.00102) resulting in a relative risk of 12.0. This enrichment of rare potentially pathogenic alleles in ZNF469 in 12.5% of keratoconus patients represents a significant mutational load and highlights ZNF469 as the most significant genetic factor responsible for keratoconus identified to date.
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Affiliation(s)
- Judith Lechner
- Centre for Vision and Vascular Science, Queen's University Belfast, Belfast BT12 6BA, UK
| | - Louise F Porter
- Institute of Human Development, The University of Manchester, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester M13 9WU, UK
| | - Aine Rice
- Leeds Institute of Molecular Medicine, St. James's University Hospital, University of Leeds, Leeds LS9 7TF, UK
| | - Veronique Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK
| | - David J Armstrong
- Department of Ophthalmology, Royal Victoria Hospital, Belfast BT12 6BA, UK
| | - Daniel F Schorderet
- IRO - Institute for Research in Ophthalmology, Sion, Switzerland Department of Ophthalmology, University of Lausanne, Lausanne, Switzerland Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Francis L Munier
- IRO - Institute for Research in Ophthalmology, Sion, Switzerland Jules-Gonin Eye Hospital, Lausanne, Switzerland
| | - Alan F Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK
| | - Chris F Inglehearn
- Leeds Institute of Molecular Medicine, St. James's University Hospital, University of Leeds, Leeds LS9 7TF, UK
| | - Graeme C Black
- Institute of Human Development, The University of Manchester, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester M13 9WU, UK
| | - David A Simpson
- Centre for Vision and Vascular Science, Queen's University Belfast, Belfast BT12 6BA, UK
| | - Forbes Manson
- Institute of Human Development, The University of Manchester, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester M13 9WU, UK
| | - Colin E Willoughby
- Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool L69 3GA, UK
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419
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Pommier C, Waeber G, Vollenweider P, Marques-Vidal P. Twenty-year differences in cardiovascular risk factor levels in a Swiss canton. Int J Cardiol 2014; 174:176-8. [PMID: 24746539 DOI: 10.1016/j.ijcard.2014.03.188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2014] [Accepted: 03/29/2014] [Indexed: 10/25/2022]
Affiliation(s)
- Cécile Pommier
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland.
| | - Gérard Waeber
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), and Faculty of Biology and Medicine, Lausanne, Switzerland.
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), and Faculty of Biology and Medicine, Lausanne, Switzerland.
| | - Pedro Marques-Vidal
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland; Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), and Faculty of Biology and Medicine, Lausanne, Switzerland.
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420
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Nicod E, Stringhini S, Marques-Vidal P, Paccaud F, Waeber G, Lamiraud K, Vollenweider P, Bochud M. Association of education and receiving social transfers with allostatic load in the Swiss population-based CoLaus study. Prev Med 2014; 63:63-71. [PMID: 24657126 DOI: 10.1016/j.ypmed.2014.03.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2013] [Revised: 01/13/2014] [Accepted: 03/11/2014] [Indexed: 12/14/2022]
Abstract
BACKGROUND Allostatic load reflects cumulative exposure to stressors throughout lifetime and has been associated with several adverse health outcomes. It is hypothesized that people with low socioeconomic status (SES) are exposed to higher chronic stress and have therefore greater levels of allostatic load. OBJECTIVE To assess the association of receiving social transfers and low education with allostatic load. METHODS We included 3589 participants (1812 women) aged over 35years and under retirement age from the population-based CoLaus study (Lausanne, Switzerland, 2003-2006). We computed an allostatic load index aggregating cardiovascular, metabolic, dyslipidemic and inflammatory markers. A novel index additionally including markers of oxidative stress was also examined. RESULTS Men with low vs. high SES were more likely to have higher levels of allostatic load (odds ratio (OR)=1.93/2.34 for social transfers/education, 95%CI from 1.45 to 4.17). The same patterns were observed among women. Associations persisted after controlling for health behaviors and marital status. CONCLUSIONS Low education and receiving social transfers independently and cumulatively predict high allostatic load and dysregulation of several homeostatic systems in a Swiss population-based study. Participants with low SES are at higher risk of oxidative stress, which may justify its inclusion as a separate component of allostatic load.
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Affiliation(s)
- Edouard Nicod
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland
| | - Silvia Stringhini
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland
| | - Fred Paccaud
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland
| | - Gérard Waeber
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | | | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Murielle Bochud
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland.
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421
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Tabatabaei-Malazy O, Qorbani M, Samavat T, Sharifi F, Larijani B, Fakhrzadeh H. Prevalence of dyslipidemia in iran: a systematic review and meta-analysis study. Int J Prev Med 2014; 5:373-393. [PMID: 24829725 PMCID: PMC4018586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2013] [Accepted: 11/04/2013] [Indexed: 11/20/2022] Open
Abstract
More than 80% cardiovascular disease (CVD) is preventable despite the fact that it is currently the ultimate cause of disability in the world. Assessment of the nationwide prevalence of dyslipidemia as a major CVD risk factor is essential to efficiently conduct prevention programs. We extracted data according to the cut-off points of dyslipidemia used in each study. All published papers on this topic in Iranian and international journals with affiliation of "Iran" were reviewed using standard keywords up to September 2011. We included all available population-based studies and national surveys conducted in individuals aged ≥ 15 years. We excluded studies with < 300 individuals, non-population-based studies, or duplicated citations. We analyzed by random effect method due to between-study heterogeneity. The estimated prevalence and 95% confidence intervals in 29 eligible articles and one un-published data for hypercholesterolemia (≥200 mg/dl), hypertriglyceridemia (≥150 mg/dl), high levels of low density lipoprotein cholesterol ([LDL-C] [≥ 130 mg/dl]) and low levels of high density lipoprotein cholesterol ([HDL-C] <40 mg/dl in males, <50 mg/dl in females), in Iranian people were 41.6% (36.1-47.0), 46.0% (43.3-48.7), 35.5% (24.0-47.1) and 43.9% (33.4-54.4), respectively among both sexes and in both rural and urban areas. Hypercholesterolemia, high LDL-C and low HDL-C were more prevalent in women, whereas hypertriglyceridemia was more prevalent in men. All types of lipid component abnormalities were more prevalent in urban residents. Prevalence of dyslipidemia is considerable in Iran. It is necessary to enforce current measures of dyslipidemia control in the Iranian people to reduce CVD burden.
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Affiliation(s)
- Ozra Tabatabaei-Malazy
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mostafa Qorbani
- Department of Public Health, Alborz University of Medical Sciences, Karaj, Iran
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Tahereh Samavat
- Ministry of Health and Medical Education of Iran, Tehran, Iran
| | - Farshad Sharifi
- Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Fakhrzadeh
- Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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422
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Christe V, Waeber G, Vollenweider P, Marques-Vidal P. Antihypertensive drug treatment changes in the general population: the CoLaus study. BMC Pharmacol Toxicol 2014; 15:20. [PMID: 24685255 PMCID: PMC4021828 DOI: 10.1186/2050-6511-15-20] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2013] [Accepted: 03/26/2014] [Indexed: 12/31/2022] Open
Abstract
Background Changes in antihypertensive drug treatment are paramount in the adequate management of patients with hypertension, still, there is little information regarding changes in antihypertensive drug treatment in Switzerland. Our aim was to assess those changes and associated factors in a population-based, prospective study. Methods Data from the population-based, CoLaus study, conducted among subjects initially aged 35–75 years and living in Lausanne, Switzerland. 772 hypertensive subjects (371 women) were followed for a median of 5.4 years. Data Subjects were defined as continuers (no change), switchers (one antihypertensive class replaced by another), combiners (one antihypertensive class added) and discontinuers (stopped treatment). The distribution and the factors associated with changes in antihypertensive drug treatment were assessed. Results During the study period, the prescription of diuretics decreased and of ARBs increased: at baseline, diuretics were taken by 46.9% of patients; angiotensin receptor blockers (ARB) by 44.7%, angiotensin converting enzyme inhibitors (ACEI) by 28.8%, beta-blockers (BB) by 28.0%, calcium channel blockers (CCB) by 18.9% and other antihypertensive drugs by 0.3%. At follow-up (approximately 5 years later), their corresponding percentages were 42.8%, 51.7%, 25.5%, 33.0% 20.7% and 1.0%. Among all participants, 54.4% (95% confidence interval: 50.8-58.0) were continuers, 26.9% (23.8-30.2) combiners, 12.7% (10.4-15.3) switchers and 6.0% (4.4-7.9) discontinuers. Combiners had higher systolic blood pressure values at baseline than the other groups (p < 0.05). Almost one third (30.6%) of switchers and 29.3% of combiners improved their blood pressure status at follow-up, versus 18.8% of continuers and 8.7% of discontinuers (p < 0.001). Conversely, almost one third (28.3%) of discontinuers became hypertensive (systolic ≥140 mm Hg or diastolic ≥90 mm Hg), vs. 22.1% of continuers, 16.3% of switchers and 11.5% of combiners (p < 0.001). Multivariate analysis showed baseline uncontrolled hypertension, ARBs, drug regimen (monotherapy/polytherapy) and overweight/obesity to be associated with changes in antihypertensive therapy. Conclusion In Switzerland, ARBs have replaced diuretics as the most commonly prescribed antihypertensive drug. Uncontrolled hypertension, ARBs, drug regimen (monotherapy or polytherapy) and overweight/obesity are associated with changes in antihypertensive treatment.
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Affiliation(s)
| | | | | | - Pedro Marques-Vidal
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Bâtiment Biopôle 2, Route de la Corniche 10, 1010 Lausanne, Switzerland.
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423
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Alwan H, Pruijm M, Ponte B, Ackermann D, Guessous I, Ehret G, Staessen JA, Asayama K, Vuistiner P, Younes SE, Paccaud F, Wuerzner G, Pechere-Bertschi A, Mohaupt M, Vogt B, Martin PY, Burnier M, Bochud M. Epidemiology of masked and white-coat hypertension: the family-based SKIPOGH study. PLoS One 2014; 9:e92522. [PMID: 24663506 PMCID: PMC3963885 DOI: 10.1371/journal.pone.0092522] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2013] [Accepted: 02/23/2014] [Indexed: 12/12/2022] Open
Abstract
Objective We investigated factors associated with masked and white-coat hypertension in a Swiss population-based sample. Methods The Swiss Kidney Project on Genes in Hypertension is a family-based cross-sectional study. Office and 24-hour ambulatory blood pressure were measured using validated devices. Masked hypertension was defined as office blood pressure<140/90 mmHg and daytime ambulatory blood pressure≥135/85 mmHg. White-coat hypertension was defined as office blood pressure≥140/90 mmHg and daytime ambulatory blood pressure<135/85 mmHg. Mixed-effect logistic regression was used to examine the relationship of masked and white-coat hypertension with associated factors, while taking familial correlations into account. High-normal office blood pressure was defined as systolic/diastolic blood pressure within the 130–139/85–89 mmHg range. Results Among the 652 participants included in this analysis, 51% were female. Mean age (±SD) was 48 (±18) years. The proportion of participants with masked and white coat hypertension was respectively 15.8% and 2.6%. Masked hypertension was associated with age (odds ratio (OR) = 1.02, p = 0.012), high-normal office blood pressure (OR = 6.68, p<0.001), and obesity (OR = 3.63, p = 0.001). White-coat hypertension was significantly associated with age (OR = 1.07, p<0.001) but not with education, family history of hypertension, or physical activity. Conclusions Our findings suggest that physicians should consider ambulatory blood pressure monitoring for older individuals with high-normal office blood pressure and/or who are obese.
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Affiliation(s)
- Heba Alwan
- Institute of Social and Preventive Medicine (IUMSP), University Hospital of Lausanne, Lausanne, Switzerland
| | - Menno Pruijm
- Service of Nephrology, University Hospital of Lausanne, Lausanne, Switzerland
| | - Belen Ponte
- Service of Nephrology, Department of Specialties, University Hospital of Geneva, Geneva, Switzerland
| | - Daniel Ackermann
- Clinic for Nephrology, Hypertension and Clinical Pharmacology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Idris Guessous
- Institute of Social and Preventive Medicine (IUMSP), University Hospital of Lausanne, Lausanne, Switzerland
- Unit of Population Epidemiology, University Hospital of Geneva, Geneva, Switzerland
| | - Georg Ehret
- Department of Cardiology, University Hospital of Geneva, Geneva, Switzerland
| | - Jan A. Staessen
- Studies Coordinating Centre, Division of Hypertension and Cardiovascular Rehabilitation, Department of Cardiovascular Diseases, University of Leuven, Leuven, Belgium
- Department of Epidemiology, Maastricht University, Maastricht, The Netherlands
| | - Kei Asayama
- Studies Coordinating Centre, Division of Hypertension and Cardiovascular Rehabilitation, Department of Cardiovascular Diseases, University of Leuven, Leuven, Belgium
- Department of Planning for Drug Development and Clinical Evaluation, Tohoku University Graduate School of Pharmaceutical Sciences, Sendai, Japan
| | - Philippe Vuistiner
- Institute of Social and Preventive Medicine (IUMSP), University Hospital of Lausanne, Lausanne, Switzerland
| | - Sandrine Estoppey Younes
- Institute of Social and Preventive Medicine (IUMSP), University Hospital of Lausanne, Lausanne, Switzerland
| | - Fred Paccaud
- Institute of Social and Preventive Medicine (IUMSP), University Hospital of Lausanne, Lausanne, Switzerland
| | - Grégoire Wuerzner
- Service of Nephrology, University Hospital of Lausanne, Lausanne, Switzerland
| | - Antoinette Pechere-Bertschi
- Department of Community Medicine and Primary Care and Emergency Medicine, University Hospital of Geneva, Geneva, Switzerland
| | - Markus Mohaupt
- Clinic for Nephrology, Hypertension and Clinical Pharmacology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Bruno Vogt
- Clinic for Nephrology, Hypertension and Clinical Pharmacology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Pierre-Yves Martin
- Service of Nephrology, Department of Specialties, University Hospital of Geneva, Geneva, Switzerland
| | - Michel Burnier
- Service of Nephrology, University Hospital of Lausanne, Lausanne, Switzerland
| | - Murielle Bochud
- Institute of Social and Preventive Medicine (IUMSP), University Hospital of Lausanne, Lausanne, Switzerland
- * E-mail:
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424
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Determinants of the development of post-traumatic stress disorder, in the general population. Soc Psychiatry Psychiatr Epidemiol 2014; 49:447-57. [PMID: 24022753 DOI: 10.1007/s00127-013-0762-3] [Citation(s) in RCA: 125] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2013] [Accepted: 08/30/2013] [Indexed: 01/18/2023]
Abstract
PURPOSE To assess (1) the lifetime prevalence of exposure both to trauma and post-traumatic stress disorder (PTSD); (2) the risk of PTSD by type of trauma; and (3) the determinants of the development of PTSD in the community. METHODS The Diagnostic Interview for Genetic Studies was administered to a random sample of an urban area (N = 3,691). RESULTS (1) The lifetime prevalence estimates of exposure to trauma and PTSD were 21.0 and 5.0%; respectively, with a twice as high prevalence of PTSD in women compared to men despite a similar likelihood of exposure in the two sexes; (2) Sexual abuse was the trauma involving the highest risk of PTSD; (3) The risk of PTSD was most strongly associated with sexual abuse followed by preexisting bipolar disorder, alcohol dependence, antisocial personality, childhood separation anxiety disorder, being victim of crime, witnessing violence, Neuroticism and Problem-focused coping strategies. After adjustment for these characteristics, female sex was no longer found to be significantly associated with the risk of PTSD. CONCLUSIONS The risk for the development of PTSD after exposure to traumatic events is associated with several factors including the type of exposure, preexisting psychopathology, personality features and coping strategies which independently contribute to the vulnerability to PTSD.
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425
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Olden M, Corre T, Hayward C, Toniolo D, Ulivi S, Gasparini P, Pistis G, Hwang SJ, Bergmann S, Campbell H, Cocca M, Gandin I, Girotto G, Glaudemans B, Hastie ND, Loffing J, Polasek O, Rampoldi L, Rudan I, Sala C, Traglia M, Vollenweider P, Vuckovic D, Youhanna S, Weber J, Wright AF, Kutalik Z, Bochud M, Fox CS, Devuyst O. Common variants in UMOD associate with urinary uromodulin levels: a meta-analysis. J Am Soc Nephrol 2014; 25:1869-82. [PMID: 24578125 DOI: 10.1681/asn.2013070781] [Citation(s) in RCA: 76] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Uromodulin is expressed exclusively in the thick ascending limb and is the most abundant protein excreted in normal urine. Variants in UMOD, which encodes uromodulin, are associated with renal function, and urinary uromodulin levels may be a biomarker for kidney disease. However, the genetic factors regulating uromodulin excretion are unknown. We conducted a meta-analysis of urinary uromodulin levels to identify associated common genetic variants in the general population. We included 10,884 individuals of European descent from three genetic isolates and three urban cohorts. Each study measured uromodulin indexed to creatinine and conducted linear regression analysis of approximately 2.5 million single nucleotide polymorphisms using an additive model. We also tested whether variants in genes expressed in the thick ascending limb associate with uromodulin levels. rs12917707, located near UMOD and previously associated with renal function and CKD, had the strongest association with urinary uromodulin levels (P<0.001). In all cohorts, carriers of a G allele of this variant had higher uromodulin levels than noncarriers did (geometric means 10.24, 14.05, and 17.67 μg/g creatinine for zero, one, or two copies of the G allele). rs12446492 in the adjacent gene PDILT (protein disulfide isomerase-like, testis expressed) also reached genome-wide significance (P<0.001). Regarding genes expressed in the thick ascending limb, variants in KCNJ1, SORL1, and CAB39 associated with urinary uromodulin levels. These data indicate that common variants in the UMOD promoter region may influence urinary uromodulin levels. They also provide insights into uromodulin biology and the association of UMOD variants with renal function.
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Affiliation(s)
- Matthias Olden
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Tanguy Corre
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Caroline Hayward
- Institute of Genetics and Molecular Medicine, Western General Hospital, and
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy; Institute of Molecular Genetics, National Research Council, Pavia, Italy
| | - Sheila Ulivi
- Institute for Maternal and Child Health, Burlo Garofolo Pediatric Institute Trieste, Italy
| | - Paolo Gasparini
- Institute for Maternal and Child Health, Burlo Garofolo Pediatric Institute Trieste, Italy; Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Giorgio Pistis
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts
| | - Sven Bergmann
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Harry Campbell
- Dulbecco Telethon Institute, San Raffaele Scientific Institute, Milan, Italy
| | - Massimiliano Cocca
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Ilaria Gandin
- Institute for Maternal and Child Health, Burlo Garofolo Pediatric Institute Trieste, Italy; Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Giorgia Girotto
- Institute for Maternal and Child Health, Burlo Garofolo Pediatric Institute Trieste, Italy; Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Bob Glaudemans
- Institute of Physiology, Zurich Center for Integrative Human Physiology, and
| | - Nicholas D Hastie
- Institute of Genetics and Molecular Medicine, Western General Hospital, and
| | | | - Ozren Polasek
- Department of Public Health, Faculty of Medicine, University of Split, Croatia
| | - Luca Rampoldi
- Dulbecco Telethon Institute, San Raffaele Scientific Institute, Milan, Italy
| | - Igor Rudan
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Cinzia Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Michela Traglia
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | | | - Dragana Vuckovic
- Institute for Maternal and Child Health, Burlo Garofolo Pediatric Institute Trieste, Italy; Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Sonia Youhanna
- Institute of Physiology, Zurich Center for Integrative Human Physiology, and Division of Nephrology, Catholic University of Louvain Medical School, Brussels, Belgium
| | - Julien Weber
- Institute of Physiology, Zurich Center for Integrative Human Physiology, and Division of Nephrology, Catholic University of Louvain Medical School, Brussels, Belgium
| | - Alan F Wright
- Institute of Genetics and Molecular Medicine, Western General Hospital, and
| | - Zoltán Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland; Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland; and
| | - Murielle Bochud
- Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland; and
| | - Caroline S Fox
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Olivier Devuyst
- Institute of Physiology, Zurich Center for Integrative Human Physiology, and Division of Nephrology, Catholic University of Louvain Medical School, Brussels, Belgium;
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426
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Vaucher J, Marques-Vidal P, Preisig M, Waeber G, Vollenweider P. Population and economic impact of the 2013 ACC/AHA guidelines compared with European guidelines to prevent cardiovascular disease. Eur Heart J 2014; 35:958-9. [PMID: 24569030 DOI: 10.1093/eurheartj/ehu064] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Julien Vaucher
- Department of Medicine, Internal Medicine, CHUV and Faculty of Biology and Medicine, Bâtiment des Instituts, Etude CoLaus, 19, rue du Bugnon, Lausanne 1005, Switzerland
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427
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Collet TH, Taffe P, Bordet J, Burnand B, Peytremann-Bridevaux I. Reproducibility of diabetes quality of care indicators as reported by patients and physicians. Eur J Public Health 2014; 24:1004-9. [DOI: 10.1093/eurpub/cku011] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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428
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Yan S, Li Y. BETASEQ: a powerful novel method to control type-I error inflation in partially sequenced data for rare variant association testing. ACTA ACUST UNITED AC 2014; 30:480-7. [PMID: 24336643 DOI: 10.1093/bioinformatics/btt719] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
SUMMARY Despite its great capability to detect rare variant associations, next-generation sequencing is still prohibitively expensive when applied to large samples. In case-control studies, it is thus appealing to sequence only a subset of cases to discover variants and genotype the identified variants in controls and the remaining cases under the reasonable assumption that causal variants are usually enriched among cases. However, this approach leads to inflated type-I error if analyzed naively for rare variant association. Several methods have been proposed in recent literature to control type-I error at the cost of either excluding some sequenced cases or correcting the genotypes of discovered rare variants. All of these approaches thus suffer from certain extent of information loss and thus are underpowered. We propose a novel method (BETASEQ), which corrects inflation of type-I error by supplementing pseudo-variants while keeps the original sequence and genotype data intact. Extensive simulations and real data analysis demonstrate that, in most practical situations, BETASEQ leads to higher testing powers than existing approaches with guaranteed (controlled or conservative) type-I error. AVAILABILITY AND IMPLEMENTATION BETASEQ and associated R files, including documentation, examples, are available at http://www.unc.edu/~yunmli/betaseq
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Affiliation(s)
- Song Yan
- Department of Biostatistics, University of North Carolina, 3101 McGavran-Greenberg Hall, Chapel Hill, NC 27599, USA, Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA and Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA
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429
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Song K, Mosteller M, Lawson M, Nelson MR. Practical limitations to estimating heritability in pharmacogenetic studies. Pharmacogenomics 2014; 14:851-2. [PMID: 23746178 DOI: 10.2217/pgs.13.86] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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430
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Komenda P, Ferguson TW, Macdonald K, Rigatto C, Koolage C, Sood MM, Tangri N. Cost-effectiveness of primary screening for CKD: a systematic review. Am J Kidney Dis 2014; 63:789-97. [PMID: 24529536 DOI: 10.1053/j.ajkd.2013.12.012] [Citation(s) in RCA: 153] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2013] [Accepted: 12/29/2013] [Indexed: 01/07/2023]
Abstract
BACKGROUND Chronic kidney disease (CKD) is a major health problem with an increasing incidence worldwide. Data on the cost-effectiveness of CKD screening in the general population have been conflicting. STUDY DESIGN Systematic review. SETTING & POPULATION General, hypertensive, and diabetic populations. No restriction on setting. SELECTION CRITERIA FOR STUDIES Studies that evaluated the cost-effectiveness of screening for CKD. INTERVENTION Screening for CKD by proteinuria or estimated glomerular filtration rate (eGFR). OUTCOMES Incremental cost-effectiveness ratio of screening by proteinuria or eGFR compared with either no screening or usual care. RESULTS 9 studies met criteria for inclusion. 8 studies evaluated the cost-effectiveness of proteinuria screening and 2 evaluated screening with eGFR. For proteinuria screening, incremental cost-effectiveness ratios ranged from $14,063-$160,018/quality-adjusted life-year (QALY) in the general population, $5,298-$54,943/QALY in the diabetic population, and $23,028-$73,939/QALY in the hypertensive population. For eGFR screening, one study reported a cost of $23,680/QALY in the diabetic population and the range across the 2 studies was $100,253-$109,912/QALY in the general population. The incidence of CKD, rate of progression, and effectiveness of drug therapy were major drivers of cost-effectiveness. LIMITATIONS Few studies evaluated screening by eGFR. Performance of a quantitative meta-analysis on influential assumptions was not conducted because of few available studies and heterogeneity in model designs. CONCLUSIONS Screening for CKD is suggested to be cost-effective in patients with diabetes and hypertension. CKD screening may be cost-effective in populations with higher incidences of CKD, rapid rates of progression, and more effective drug therapy.
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Affiliation(s)
- Paul Komenda
- Section of Nephrology, Department of Medicine, University of Manitoba, Winnipeg, Canada; Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada; Seven Oaks General Hospital Renal Program, Winnipeg, Canada.
| | - Thomas W Ferguson
- Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada; Seven Oaks General Hospital Renal Program, Winnipeg, Canada
| | - Kerry Macdonald
- Department of Library Services, University of Manitoba, Winnipeg, Canada
| | - Claudio Rigatto
- Section of Nephrology, Department of Medicine, University of Manitoba, Winnipeg, Canada; Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada; Seven Oaks General Hospital Renal Program, Winnipeg, Canada
| | - Chris Koolage
- Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada; Seven Oaks General Hospital Renal Program, Winnipeg, Canada
| | - Manish M Sood
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Canada
| | - Navdeep Tangri
- Section of Nephrology, Department of Medicine, University of Manitoba, Winnipeg, Canada; Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada; Seven Oaks General Hospital Renal Program, Winnipeg, Canada
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431
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Vaucher J, Marques-Vidal P, Waeber G, Vollenweider P. Cytokines and hs-CRP levels in individuals treated with low-dose aspirin for cardiovascular prevention: a population-based study (CoLaus Study). Cytokine 2014; 66:95-100. [PMID: 24594292 DOI: 10.1016/j.cyto.2014.01.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2013] [Revised: 10/08/2013] [Accepted: 01/13/2014] [Indexed: 12/22/2022]
Abstract
Pro-inflammatory cytokines and high-sensitive C-reactive protein (hs-CRP) are associated with increased risk for cardiovascular disease. Low-dose aspirin for CV prevention is reported to have anti-inflammatory effects. The aim of this study was to determine the association between pro-inflammatory cytokines and hs-CRP levels and low-dose aspirin use for cardiovascular prevention in a population-based cohort (CoLaus Study). We assessed blood samples in 6085 participants (3201 women) aged 35-75years. Medications' use and indications were recorded. Among aspirin users (n=1'034; 17%), overall low-dose users (351; 5.8%) and low-dose for cardiovascular prevention users (324; 5.3%) were selected for analysis. Pro-inflammatory cytokines (IL-1β, IL-6 and TNF-α were assessed by a multiplex particle-based flow cytometric assay and hs-CRP by an immunometric assay. Cytokines and hs-CRP were presented in quartiles. Multivariate analysis adjusting for sex, age, smoking status, body mass index, diabetes mellitus and immunomodulatory drugs showed no association between cytokines and hs-CRP levels and low-dose aspirin use for cardiovascular prevention, either comparing the topmost vs. the three other quartiles (OR 95% CI, 0.84 (0.59-1.18), 1.03 (0.78-1.32), 1.10 (0.83-1.46), 1.00 (0.67-1.69) for IL-1β, IL-6, TNF-α and hs-CRP, respectively), or comparing the topmost quartile vs. the first one (OR 95% CI, 0.87 (0.60-1.26), 1.19 (0.79-1.79), 1.26 (0.86-1.84), 1.06 (0.67-1.69)). Low-dose aspirin use for cardiovascular prevention does not impact plasma pro-inflammatory cytokine and hs-CRP levels in a population-based cohort.
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Affiliation(s)
- Julien Vaucher
- Department of Medicine, Internal Medicine, CHUV and Faculty of Biology and Medicine, Lausanne, Switzerland.
| | - Pedro Marques-Vidal
- Institute of Social and Preventive Medicine (IUMSP), CHUV and Faculty of Biology and Medicine, Lausanne, Switzerland
| | - Gérard Waeber
- Department of Medicine, Internal Medicine, CHUV and Faculty of Biology and Medicine, Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, CHUV and Faculty of Biology and Medicine, Lausanne, Switzerland
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432
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Ashraf H, Rashidi A, Noshad S, Khalilzadeh O, Esteghamati A. Epidemiology and risk factors of the cardiometabolic syndrome in the Middle East. Expert Rev Cardiovasc Ther 2014; 9:309-20. [DOI: 10.1586/erc.11.9] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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433
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Debiec R, Christofidou P, Denniff M, Bloomer LD, Bogdanski P, Wojnar L, Musialik K, Charchar FJ, Thompson JR, Waterworth D, Song K, Vollenweider P, Waeber G, Zukowska-Szczechowska E, Samani NJ, Lambert D, Tomaszewski M. Urotensin-II system in genetic control of blood pressure and renal function. PLoS One 2013; 8:e83137. [PMID: 24391740 PMCID: PMC3877024 DOI: 10.1371/journal.pone.0083137] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2013] [Accepted: 10/30/2013] [Indexed: 02/07/2023] Open
Abstract
Urotensin-II controls ion/water homeostasis in fish and vascular tone in rodents. We hypothesised that common genetic variants in urotensin-II pathway genes are associated with human blood pressure or renal function. We performed family-based analysis of association between blood pressure, glomerular filtration and genes of the urotensin-II pathway (urotensin-II, urotensin-II related peptide, urotensin-II receptor) saturated with 28 tagging single nucleotide polymorphisms in 2024 individuals from 520 families; followed by an independent replication in 420 families and 7545 unrelated subjects. The expression studies of the urotensin-II pathway were carried out in 97 human kidneys. Phylogenetic evolutionary analysis was conducted in 17 vertebrate species. One single nucleotide polymorphism (rs531485 in urotensin-II gene) was associated with adjusted estimated glomerular filtration rate in the discovery cohort (p = 0.0005). It showed no association with estimated glomerular filtration rate in the combined replication resource of 8724 subjects from 6 populations. Expression of urotensin-II and its receptor showed strong linear correlation (r = 0.86, p<0.0001). There was no difference in renal expression of urotensin-II system between hypertensive and normotensive subjects. Evolutionary analysis revealed accumulation of mutations in urotensin-II since the divergence of primates and weaker conservation of urotensin-II receptor in primates than in lower vertebrates. Our data suggest that urotensin-II system genes are unlikely to play a major role in genetic control of human blood pressure or renal function. The signatures of evolutionary forces acting on urotensin-II system indicate that it may have evolved towards loss of function since the divergence of primates.
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Affiliation(s)
- Radoslaw Debiec
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Paraskevi Christofidou
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Matthew Denniff
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Lisa D. Bloomer
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Pawel Bogdanski
- Department of Internal Medicine, Metabolic Disorders and Hypertension, Medical University of Poznan, Poznan, Poland
| | - Lukasz Wojnar
- Department of Urology and Oncological Urology, Medical University of Poznan, Poznan, Poland
| | - Katarzyna Musialik
- Department of Internal Medicine, Metabolic Disorders and Hypertension, Medical University of Poznan, Poznan, Poland
| | - Fadi J. Charchar
- School of Science and Engineering, University of Ballarat, Ballarat, Australia
| | - John R. Thompson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Dawn Waterworth
- GlaxoSmithKline, Philadelphia, Pennsylvania, United States of America
| | - Kijoung Song
- GlaxoSmithKline, Philadelphia, Pennsylvania, United States of America
| | - Peter Vollenweider
- Department of Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Gerard Waeber
- Department of Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Ewa Zukowska-Szczechowska
- Department of Internal Medicine, Diabetology and Nephrology, Medical University of Silesia, Zabrze, Poland
| | - Nilesh J. Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - David Lambert
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Maciej Tomaszewski
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- * E-mail:
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434
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French version of the Family Attitude Scale: psychometric properties and relation of attitudes to the respondent's psychiatric status. Psychiatry Res 2013; 210:641-6. [PMID: 23890747 DOI: 10.1016/j.psychres.2013.07.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2013] [Revised: 05/20/2013] [Accepted: 07/08/2013] [Indexed: 11/20/2022]
Abstract
The Family Attitude Scale (FAS) is a self-report measure of critical or hostile attitudes and behaviors towards another family member, and demonstrates an ability to predict relapse in psychoses. Data are not currently available on a French version of the scale. The present study developed a French version of the FAS, using a large general population sample to test its internal structure, criterion validity and relationships with the respondents' symptoms and psychiatric diagnoses, and examined the reciprocity of FAS ratings by respondents and their partners. A total of 2072 adults from an urban population undertook a diagnostic interview and completed self-report measures, including an FAS about their partner. A subset of participants had partners who also completed the FAS. Confirmatory factor analyses revealed an excellent fit by a single-factor model, and the FAS demonstrated a strong association with dyadic adjustment. FAS scores of respondents were affected by their anxiety levels and mood, alcohol and anxiety diagnoses, and moderate reciprocity of attitudes and behaviors between the partners was seen. The French version of the FAS has similarly strong psychometric properties to the original English version. Future research should assess the ability of the French FAS to predict relapse of psychiatric disorders.
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435
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The protective effect of the obesity-associated rs9939609 A variant in fat mass- and obesity-associated gene on depression. Mol Psychiatry 2013; 18:1281-6. [PMID: 23164817 DOI: 10.1038/mp.2012.160] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2012] [Revised: 09/11/2012] [Accepted: 09/21/2012] [Indexed: 01/15/2023]
Abstract
Candidate gene and genome-wide association studies have not identified common variants, which are reliably associated with depression. The recent identification of obesity predisposing genes that are highly expressed in the brain raises the possibility of their genetic contribution to depression. As variation in the intron 1 of the fat mass- and obesity-associated (FTO) gene contributes to polygenic obesity, we assessed the possibility that FTO gene may contribute to depression in a cross-sectional multi-ethnic sample of 6561 depression cases and 21,932 controls selected from the EpiDREAM, INTERHEART, DeCC (depression case-control study) and Cohorte Lausannoise (CoLaus) studies. Major depression was defined according to DSM IV diagnostic criteria. Association analyses were performed under the additive genetic model. A meta-analysis of the four studies showed a significant inverse association between the obesity risk FTO rs9939609 A variant and depression (odds ratio=0.92 (0.89, 0.97), P=3 × 10(-4)) adjusted for age, sex, ethnicity/population structure and body-mass index (BMI) with no significant between-study heterogeneity (I(2)=0%, P=0.63). The FTO rs9939609 A variant was also associated with increased BMI in the four studies (β 0.30 (0.08, 0.51), P=0.0064) adjusted for age, sex and ethnicity/population structure. In conclusion, we provide the first evidence that the FTO rs9939609 A variant may be associated with a lower risk of depression independently of its effect on BMI. This study highlights the potential importance of obesity predisposing genes on depression.
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436
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Byrnes AE, Wu MC, Wright FA, Li M, Li Y. The value of statistical or bioinformatics annotation for rare variant association with quantitative trait. Genet Epidemiol 2013; 37:666-74. [PMID: 23836599 PMCID: PMC4083762 DOI: 10.1002/gepi.21747] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2013] [Revised: 05/20/2013] [Accepted: 06/03/2013] [Indexed: 11/06/2022]
Abstract
In the past few years, a plethora of methods for rare variant association with phenotype have been proposed. These methods aggregate information from multiple rare variants across genomic region(s), but there is little consensus as to which method is most effective. The weighting scheme adopted when aggregating information across variants is one of the primary determinants of effectiveness. Here we present a systematic evaluation of multiple weighting schemes through a series of simulations intended to mimic large sequencing studies of a quantitative trait. We evaluate existing phenotype-independent and phenotype-dependent methods, as well as weights estimated by penalized regression approaches including Lasso, Elastic Net, and SCAD. We find that the difference in power between phenotype-dependent schemes is negligible when high-quality functional annotations are available. When functional annotations are unavailable or incomplete, all methods suffer from power loss; however, the variable selection methods outperform the others at the cost of increased computational time. Therefore, in the absence of good annotation, we recommend variable selection methods (which can be viewed as "statistical annotation") on top of regions implicated by a phenotype-independent weighting scheme. Further, once a region is implicated, variable selection can help to identify potential causal single nucleotide polymorphisms for biological validation. These findings are supported by an analysis of a high coverage targeted sequencing study of 1,898 individuals.
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Affiliation(s)
- Andrea E. Byrnes
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Michael C. Wu
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Fred A. Wright
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Mingyao Li
- Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
| | - Yun Li
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
- Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina 27599
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437
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Halfon P, Eggli Y, Decollogny A, Seker E. Disease identification based on ambulatory drugs dispensation and in-hospital ICD-10 diagnoses: a comparison. BMC Health Serv Res 2013; 13:453. [PMID: 24171918 PMCID: PMC4228448 DOI: 10.1186/1472-6963-13-453] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2013] [Accepted: 10/28/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Pharmacy-based case mix measures are an alternative source of information to the relatively scarce outpatient diagnoses data. But most published tools use national drug nomenclatures and offer no head-to-head comparisons between drugs-related and diagnoses-based categories. The objective of the study was to test the accuracy of drugs-based morbidity groups derived from the World Health Organization Anatomical Therapeutic Chemical Classification of drugs by checking them against diagnoses-based groups. METHODS We compared drugs-based categories with their diagnoses-based analogues using anonymous data on 108,915 individuals insured with one of four companies. They were followed throughout 2005 and 2006 and hospitalized at least once during this period. The agreement between the two approaches was measured by weighted kappa coefficients. The reproducibility of the drugs-based morbidity measure over the 2 years was assessed for all enrollees. RESULTS Eighty percent used a drug associated with at least one of the 60 morbidity categories derived from drugs dispensation. After accounting for inpatient under-coding, fifteen conditions agreed sufficiently with their diagnoses-based counterparts to be considered alternative strategies to diagnoses. In addition, they exhibited good reproducibility and allowed prevalence estimates in accordance with national estimates. For 22 conditions, drugs-based information identified accurately a subset of the population defined by diagnoses. CONCLUSIONS Most categories provide insurers with health status information that could be exploited for healthcare expenditure prediction or ambulatory cost control, especially when ambulatory diagnoses are not available. However, due to insufficient concordance with their diagnoses-based analogues, their use for morbidity indicators is limited.
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Affiliation(s)
- Patricia Halfon
- Institute of Social and Preventive Medicine (IUMSP), University Hospital Center and Faculty of Biology and Medicine, Biopole 2, Route de la Corniche 10, 1010, Lausanne, Switzerland
| | - Yves Eggli
- Institute of Health Economics and Management, University Hospital Center and University of Lausanne, Route de Chavannes 31, 1015, Lausanne, Switzerland
| | - Anne Decollogny
- Institute of Health Economics and Management, University Hospital Center and University of Lausanne, Route de Chavannes 31, 1015, Lausanne, Switzerland
| | - Erol Seker
- Institute of Health Economics and Management, University Hospital Center and University of Lausanne, Route de Chavannes 31, 1015, Lausanne, Switzerland
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438
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Huber CA, Szucs TD, Rapold R, Reich O. Identifying patients with chronic conditions using pharmacy data in Switzerland: an updated mapping approach to the classification of medications. BMC Public Health 2013; 13:1030. [PMID: 24172142 PMCID: PMC3840632 DOI: 10.1186/1471-2458-13-1030] [Citation(s) in RCA: 161] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2012] [Accepted: 10/29/2013] [Indexed: 11/10/2022] Open
Abstract
Background Quantifying population health is important for public health policy. Since national disease registers recording clinical diagnoses are often not available, pharmacy data were frequently used to identify chronic conditions (CCs) in populations. However, most approaches mapping prescribed drugs to CCs are outdated and unambiguous. The aim of this study was to provide an improved and updated mapping approach to the classification of medications. Furthermore, we aimed to give an overview of the proportions of patients with CCs in Switzerland using this new mapping approach. Methods The database included medical and pharmacy claims data (2011) from patients aged 18 years or older. Based on prescription drug data and using the Anatomical Therapeutic Chemical (ATC) classification system, patients with CCs were identified by a medical expert review. Proportions of patients with CCs were calculated by sex and age groups. We constructed multiple logistic regression models to assess the association between patient characteristics and having a CC, as well as between risk factors (diabetes, hyperlipidemia) for cardiovascular diseases (CVD) and CVD as one of the most prevalent CCs. Results A total of 22 CCs were identified. In 2011, 62% of the 932′612 subjects enrolled have been prescribed a drug for the treatment of at least one CC. Rheumatologic conditions, CVD and pain were the most frequent CCs. 29% of the persons had CVD, 10% both CVD and hyperlipidemia, 4% CVD and diabetes, and 2% suffered from all of the three conditions. The regression model showed that diabetes and hyperlipidemia were strongly associated with CVD. Conclusions Using pharmacy claims data, we developed an updated and improved approach for a feasible and efficient measure of patients’ chronic disease status. Pharmacy drug data may be a valuable source for measuring population’s burden of disease, when clinical data are missing. This approach may contribute to health policy debates about health services sources and risk adjustment modelling.
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Affiliation(s)
- Carola A Huber
- Department of Health Sciences, Helsana Insurance Group, P,O, Box, 8081 Zürich, Switzerland.
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439
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Lyngdoh T, Bochud M, Glaus J, Castelao E, Waeber G, Vollenweider P, Preisig M. Associations of serum uric acid and SLC2A9 variant with depressive and anxiety disorders: a population-based study. PLoS One 2013; 8:e76336. [PMID: 24204615 PMCID: PMC3812204 DOI: 10.1371/journal.pone.0076336] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2013] [Accepted: 08/22/2013] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Limited information exists regarding the association between serum uric acid (SUA) and psychiatric disorders. We explored the relationship between SUA and subtypes of major depressive disorder (MDD) and specific anxiety disorders. Additionally, we examined the association of SLC2A9 rs6855911 variant with anxiety disorders. METHODS We conducted a cross-sectional analysis on 3,716 individuals aged 35-66 years previously selected for the population-based CoLaus survey and who agreed to undergo further psychiatric evaluation. SUA was measured using uricase-PAP method. The French translation of the semi-structured Diagnostic Interview for Genetic Studies was used to establish lifetime and current diagnoses of depression and anxiety disorders according to the DSM-IV criteria. RESULTS Men reported significantly higher levels of SUA compared to women (357±74 µmol/L vs. 263±64 µmol/L). The prevalence of lifetime and current MDD was 44% and 18% respectively while the corresponding estimates for any anxiety disorders were 18% and 10% respectively. A quadratic hockey-stick shaped curve explained the relationship between SUA and social phobia better than a linear trend. However, with regards to the other specific anxiety disorders and other subtypes of MDD, there was no consistent pattern of association. Further analyses using SLC2A9 rs6855911 variant, known to be strongly associated with SUA, supported the quadratic relationship observed between SUA phenotype and social phobia. CONCLUSIONS A quadratic relationship between SUA and social phobia was observed consistent with a protective effect of moderately elevated SUA on social phobia, which disappears at higher concentrations. Further studies are needed to confirm our observations.
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Affiliation(s)
- Tanica Lyngdoh
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Murielle Bochud
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital (CHUV), Lausanne, Switzerland
- * E-mail:
| | | | | | - Gerard Waeber
- Department of Medicine, Internal Medicine, CHUV and Faculty of Biology and Medicine, Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, CHUV and Faculty of Biology and Medicine, Lausanne, Switzerland
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440
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Alves L, Azevedo A, Barros H, Paccaud F, Marques-Vidal P. Portuguese migrants in Switzerland: healthcare and health status compared to Portuguese residents. PLoS One 2013; 8:e77066. [PMID: 24116201 PMCID: PMC3792909 DOI: 10.1371/journal.pone.0077066] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2013] [Accepted: 08/30/2013] [Indexed: 11/24/2022] Open
Abstract
Background Most migrant studies have compared health characteristics between migrants and nationals of the host country. We aimed at comparing health characteristics of migrants with nationals from their home country. Methods Portuguese national health survey (2005-6; 30,173 participants aged 18-75 years) and four national health surveys conducted in Switzerland (2002, 2004, 2007 and 2011, totalling 1,170 Portuguese migrants of the same age range). Self-reported data on length of stay, cardiovascular risk factors, healthcare use and health status were collected. Results Resident Portuguese were significantly older and more educated than migrants. Resident Portuguese had a higher mean BMI and prevalence of obesity than migrants. Resident Portuguese also reported more frequently being hypertensive and having their blood pressure screened within the last year. On the contrary, migrant Portuguese were more frequently smokers, had a medical visit in the previous year more frequently and self-rated their health higher than resident Portuguese. After adjustment for age, gender, marital status and education, migrants had a higher likelihood of smoking, of having a medical visit the previous year, and of self-rating their current health as good or very good than resident Portuguese. Compared to Portuguese residents, cholesterol screening in the previous year was more common only among migrants living in Switzerland for more than 17 years. Conclusion Portuguese migrants in Switzerland do not differ substantially from resident Portuguese regarding most cardiovascular risk factors. Migrants consider themselves healthier than Portuguese residents and more often had a recent medical visit.
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Affiliation(s)
- Luís Alves
- Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal
- Departamento de Epidemiologia Clínica, Medicina Preditiva e Saúde Pública, Porto, Portugal
- Unidade de Saúde Familiar St. André de Canidelo, Vila Nova de Gaia, Portugal, Faculdade de Medicina da Universidade do Porto, Porto, Portugal
| | - Ana Azevedo
- Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal
- Departamento de Epidemiologia Clínica, Medicina Preditiva e Saúde Pública, Porto, Portugal
| | - Henrique Barros
- Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal
- Departamento de Epidemiologia Clínica, Medicina Preditiva e Saúde Pública, Porto, Portugal
| | - Fred Paccaud
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland
- * E-mail:
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441
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Rodgers S, Müller M, Kawohl W, Knöpfli D, Rössler W, Castelao E, Preisig M, Ajdacic-Gross V. Sex-related and non-sex-related comorbidity subtypes of tic disorders: a latent class approach. Eur J Neurol 2013; 21:700-7, e44-5. [PMID: 24118249 DOI: 10.1111/ene.12274] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2013] [Accepted: 08/23/2013] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Recent evidence suggests that there may be more than one Gilles de la Tourette syndrome (GTS)/tic disorder phenotype. However, little is known about the common patterns of these GTS/tic disorder-related comorbidities. In addition, sex-specific phenomenological data of GTS/tic disorder-affected adults are rare. Therefore, this community-based study used latent class analyses (LCA) to investigate sex-related and non-sex-related subtypes of GTS/tic disorders and their most common comorbidities. METHODS The data were drawn from the PsyCoLaus study (n = 3691), a population-based survey conducted in Lausanne, Switzerland. LCA were performed on the data of 80 subjects manifesting motor/vocal tics during their childhood/adolescence. Comorbid attention-deficit hyperactivity disorder (ADHD), obsessive-compulsive disorder, depressive, phobia and panic symptoms/syndromes comprised the selected indicators. The resultant classes were characterized by psychosocial correlates. RESULTS In LCA, four latent classes provided the best fit to the data. We identified two male-related classes. The first class exhibited both ADHD and depression. The second class comprised males with only depression. Class three was a female-related class depicting obsessive thoughts/compulsive acts, phobias and panic attacks. This class manifested high psychosocial impairment. Class four had a balanced sex proportion and comorbid symptoms/syndromes such as phobias and panic attacks. The complementary occurrence of comorbid obsessive thoughts/compulsive acts and ADHD impulsivity was remarkable. CONCLUSIONS To the best of our knowledge, this is the first study applying LCA to community data of GTS symptoms/tic disorder-affected persons. Our findings support the utility of differentiating GTS/tic disorder subphenotypes on the basis of comorbid syndromes.
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Affiliation(s)
- S Rodgers
- Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich University Hospital of Psychiatry, Zurich, Switzerland
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442
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de Abreu D, Guessous I, Vaucher J, Preisig M, Waeber G, Vollenweider P, Marques-Vidal P. Low compliance with dietary recommendations for food intake among adults. Clin Nutr 2013; 32:783-8. [DOI: 10.1016/j.clnu.2012.11.022] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2012] [Revised: 11/25/2012] [Accepted: 11/27/2012] [Indexed: 11/29/2022]
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443
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Glaus J, Vandeleur C, Gholam-Rezaee M, Castelao E, Perrin M, Rothen S, Bovet P, Marques-Vidal P, von Känel R, Merikangas K, Mooser V, Waterworth DM, Waeber G, Vollenweider P, Preisig M. Atypical depression and alcohol misuse are related to the cardiovascular risk in the general population. Acta Psychiatr Scand 2013; 128:282-93. [PMID: 23216242 DOI: 10.1111/acps.12057] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/02/2012] [Indexed: 12/13/2022]
Abstract
OBJECTIVE The aims of the present study were to assess the associations between mood, anxiety and substance use disorders, including their subtypes, and the prevalence of cardiovascular risk factors (CVRFs). METHOD Thorough physical investigations, biological measures and standardized interview techniques were used to assess 3716 subjects of an urban area, aged 35-66 years. RESULTS Atypical depression was associated with increased prevalence of overweight, diabetes and the metabolic syndrome (OR = 1.5, 95% C.I. 1.1-2.0; OR = 2.0, 95% C.I. 1.1-3.5, OR = 1.6, 95% C.I. 1.0-2.4 respectively), whereas decreased prevalence of overweight was found in melancholic (OR = 0.7, 95% C.I. 0.6-0.9) and unspecified depression (OR = 0.8, 95% C.I. 0.7-1.0). Alcohol abuse was associated with diabetes (OR = 1.8, 95% C.I. 1.1-2.9) and dyslipidemia (OR = 1.3, 95% C.I. 1.0-1.8), alcohol dependence with dyslipidemia only (OR = 1.4, 95% C.I. 1.0-2.0). Almost all mental disorders were associated with a lifetime history of regular cigarette smoking, and atypical depression, alcohol misuse and drug dependence were associated with inactivity. CONCLUSION To conclude results emphasize the need to subtype depression and to pay particular attention to the atypical subtype. Comorbid alcohol misuse may further increase the cardiovascular risk. Efforts to diminish smoking in subjects with mental disorders could be crucial measures to reduce their high incidence of cardiovascular disease.
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Affiliation(s)
- J Glaus
- Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
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444
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Nabi H, Bochud M, Glaus J, Lasserre AM, Waeber G, Vollenweider P, Preisig M. Association of serum homocysteine with major depressive disorder: results from a large population-based study. Psychoneuroendocrinology 2013; 38:2309-18. [PMID: 23707477 DOI: 10.1016/j.psyneuen.2013.04.018] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2013] [Revised: 04/23/2013] [Accepted: 04/30/2013] [Indexed: 11/30/2022]
Abstract
BACKGROUND Studies on the association between homocysteine levels and depression have shown conflicting results. To examine the association between serum total homocysteine (tHcy) levels and major depressive disorder (MDD) in a large community sample with an extended age range. METHODS A total of 3392 men and women aged 35-66 years participating in the CoLaus study and its psychiatric arm (PsyCoLaus) were included in the analyses. High tHcy measured from fasting blood samples was defined as a concentration ≥15μmol/L. MDD was assessed using the semi-structured Diagnostic Interview for Genetics Studies. RESULTS In multivariate analyses, elevated tHcy levels were associated with greater odds of meeting the diagnostic criteria for lifetime MDD among men (OR=1.71; 95% CI, 1.18-2.50). This was particularly the case for remitted MDD. Among women, there was no significant association between tHcy levels and MDD and the association tended to be in the opposite direction (OR=0.61; 95% CI, 0.34-1.08). CONCLUSIONS In this large population-based study, elevated tHcy concentrations are associated with lifetime MDD and particularly with remitted MDD among men.
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Affiliation(s)
- Hermann Nabi
- INSERM, U1018, Centre for Research in Epidemiology and Population Health, Epidemiology of Occupational and Social Determinants of Health, Villejuif F-94807, France; Université de Versailles St Quentin, UMRS 1018, Villejuif F-94807, France.
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445
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Gabioud A, Waeber G, Vollenweider P, Marques-Vidal P. Who is at low risk for cardiovascular disease? An assessment of different definitions. Int J Cardiol 2013; 167:2831-5. [PMID: 22882961 DOI: 10.1016/j.ijcard.2012.07.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2011] [Revised: 02/29/2012] [Accepted: 07/20/2012] [Indexed: 10/28/2022]
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446
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Zhang YP, Zuo XC, Huang ZJ, Cai JJ, Wen J, Duan DD, Yuan H. CYP3A5 polymorphism, amlodipine and hypertension. J Hum Hypertens 2013; 28:145-9. [DOI: 10.1038/jhh.2013.67] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2013] [Revised: 06/12/2013] [Accepted: 06/13/2013] [Indexed: 11/09/2022]
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447
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Ponte B, Pruijm M, Marques-Vidal P, Martin PY, Burnier M, Paccaud F, Waeber G, Vollenweider P, Bochud M. Determinants and burden of chronic kidney disease in the population-based CoLaus study: a cross-sectional analysis. Nephrol Dial Transplant 2013; 28:2329-39. [PMID: 23825103 DOI: 10.1093/ndt/gft206] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) represents an increasing health burden. We present the population-based prevalence of CKD and compare the CKD Epidemiology collaboration (CKD-EPI) and modification of diet in renal disease (MDRD) equations to estimate the glomerular filtration rate, using the revised CKD classification with three albuminuria classes. We also explore factors associated with CKD. METHODS The Swiss population-based, cross-sectional CoLaus study conducted in Lausanne (2003-2006) included 2810 men and 3111 women aged 35-75. CKD prevalence was assessed using CKD-EPI and MDRD equations and albuminuria estimated by the albumin-to-creatinine ratio in spot morning urine. Multivariate logistic regression was used to analyse determinants of CKD. RESULTS Prevalence [95% confidence interval (CI)] of all stages CKD was 10.0% (9.2-10.8%) with CKD-EPI and 13.8% (12.9-14.6%) with MDRD. Using the revised CKD classification, the prevalence of low-, medium-, high- and very high-risk groups was 90.0, 8.46, 1.18 and 0.35% with CKD-EPI, respectively. With MDRD, the corresponding values were 86.24, 11.86, 1.55 and 0.35%. Using the revised classification, CKD-EPI systematically reclassified people in a lower risk category than MDRD. Age and obesity were more strongly associated with CKD in men [odds ratio (95% CI): 2.23(1.95; 2.56) per 10 years and 3.05(2.08;4.47), respectively] than in women [1.46 (1.29; 1.65) and 1.78 (1.30;2.44), respectively]. Hypertension, type 2 diabetes, serum homocysteine and uric acid were positively independently associated with CKD in men and women. CONCLUSIONS One in 10 adults suffers from CKD in the population of Lausanne. CKD-EPI systematically reclassifies people in a lower CKD risk category than MDRD. Serum homocysteine and uric acid levels are associated with CKD independently of classical risk factors such as age, hypertension and diabetes.
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Affiliation(s)
- Belén Ponte
- Service of Nephrology, Geneva University Hospital, Geneva, Switzerland
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448
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Peytremann-Bridevaux I, Bordet J, Burnand B. Diabetes care in Switzerland: good, but perfectible: a population-based cross-sectional survey. BMC Health Serv Res 2013; 13:232. [PMID: 23800376 PMCID: PMC3722105 DOI: 10.1186/1472-6963-13-232] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2012] [Accepted: 06/04/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND While Switzerland invests a lot of money in its healthcare system, little is known about the quality of care delivered. The objective of this study was to assess the quality of care provided to patients with diabetes in the Canton of Vaud, Switzerland. METHODS Cross-sectional study of 406 non-institutionalized adults with type 1 or 2 diabetes. Patients' characteristics, diabetes and process of care indicators were collected using a self-administered questionnaire. Process indicators (past 12 months) included HbA1C check among HbA1C-aware patients, eye assessment by ophtalmologist, microalbuminuria check, feet examination, lipid test, blood pressure and weight measurement, influenza immunization, physical activity recommendations, and dietary recommendations. Item-by-item (each process of care indicator: percentage of patients having received it), composite (mean percentage of recommended care: sum of received processes of care / sum of possible recommended care), and all-or-none (percentage of patients receiving all specified recommended care) measures were computed. RESULTS Mean age was 64.4 years; 59% were men. Type 1 and type 2 diabetes were reported by 18.2% and 68.5% of patients, respectively, but diabetes type remained undetermined for almost 20% of patients. Patients were treated with oral anti-diabetic drugs (50%), insulin (23%) or both (27%). Of 219 HbA1C-aware patients, 98% reported ≥ one HbA1C check during the last year. Also, ≥94% reported ≥ one blood pressure measurement, ≥ one weight measurement or lipid test, and 68%, 64% and 56% had feet examination, microalbuminuria check and eye assessment, respectively. Influenza immunization was reported by 62% of the patients.The percentage of patients receiving all processes of care ranged between 14.2%-16.9%, and 46.6%-50.7%, when considering ten and four indicators, respectively. Ambulatory care utilization showed little use of multidisciplinary care, and low levels of participation in diabetes-education classes. CONCLUSIONS While routine processes-of-care were performed annually in most patients, diabetes-specific risk screenings, influenza immunization, physical activity and dietary recommendations were less often reported; this was also the case for multidisciplinary care and participation in education classes. There is room for diabetes care improvement in Switzerland. These results should help define priorities and further develop country-specific chronic disease management initiatives for diabetes.
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Affiliation(s)
| | - Julie Bordet
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland
| | - Bernard Burnand
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland
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Rietveld CA, Medland SE, Derringer J, Yang J, Esko T, Martin NW, Westra HJ, Shakhbazov K, Abdellaoui A, Agrawal A, Albrecht E, Alizadeh BZ, Amin N, Barnard J, Baumeister SE, Benke KS, Bielak LF, Boatman JA, Boyle PA, Davies G, de Leeuw C, Eklund N, Evans DS, Ferhmann R, Fischer K, Gieger C, Gjessing HK, Hägg S, Harris JR, Hayward C, Holzapfel C, Ibrahim-Verbaas CA, Ingelsson E, Jacobsson B, Joshi PK, Jugessur A, Kaakinen M, Kanoni S, Karjalainen J, Kolcic I, Kristiansson K, Kutalik Z, Lahti J, Lee SH, Lin P, Lind PA, Liu Y, Lohman K, Loitfelder M, McMahon G, Vidal PM, Meirelles O, Milani L, Myhre R, Nuotio ML, Oldmeadow CJ, Petrovic KE, Peyrot WJ, Polašek O, Quaye L, Reinmaa E, Rice JP, Rizzi TS, Schmidt H, Schmidt R, Smith AV, Smith JA, Tanaka T, Terracciano A, van der Loos MJ, Vitart V, Völzke H, Wellmann J, Yu L, Zhao W, Allik J, Attia JR, Bandinelli S, Bastardot F, Beauchamp J, Bennett DA, Berger K, Bierut LJ, Boomsma DI, Bültmann U, Campbell H, Chabris CF, Cherkas L, Chung MK, Cucca F, de Andrade M, De Jager PL, De Neve JE, Deary IJ, Dedoussis GV, Deloukas P, Dimitriou M, Eiriksdottir G, Elderson MF, Eriksson JG, et alRietveld CA, Medland SE, Derringer J, Yang J, Esko T, Martin NW, Westra HJ, Shakhbazov K, Abdellaoui A, Agrawal A, Albrecht E, Alizadeh BZ, Amin N, Barnard J, Baumeister SE, Benke KS, Bielak LF, Boatman JA, Boyle PA, Davies G, de Leeuw C, Eklund N, Evans DS, Ferhmann R, Fischer K, Gieger C, Gjessing HK, Hägg S, Harris JR, Hayward C, Holzapfel C, Ibrahim-Verbaas CA, Ingelsson E, Jacobsson B, Joshi PK, Jugessur A, Kaakinen M, Kanoni S, Karjalainen J, Kolcic I, Kristiansson K, Kutalik Z, Lahti J, Lee SH, Lin P, Lind PA, Liu Y, Lohman K, Loitfelder M, McMahon G, Vidal PM, Meirelles O, Milani L, Myhre R, Nuotio ML, Oldmeadow CJ, Petrovic KE, Peyrot WJ, Polašek O, Quaye L, Reinmaa E, Rice JP, Rizzi TS, Schmidt H, Schmidt R, Smith AV, Smith JA, Tanaka T, Terracciano A, van der Loos MJ, Vitart V, Völzke H, Wellmann J, Yu L, Zhao W, Allik J, Attia JR, Bandinelli S, Bastardot F, Beauchamp J, Bennett DA, Berger K, Bierut LJ, Boomsma DI, Bültmann U, Campbell H, Chabris CF, Cherkas L, Chung MK, Cucca F, de Andrade M, De Jager PL, De Neve JE, Deary IJ, Dedoussis GV, Deloukas P, Dimitriou M, Eiriksdottir G, Elderson MF, Eriksson JG, Evans DM, Faul JD, Ferrucci L, Garcia ME, Grönberg H, Gudnason V, Hall P, Harris JM, Harris TB, Hastie ND, Heath AC, Hernandez DG, Hoffmann W, Hofman A, Holle R, Holliday EG, Hottenga JJ, Iacono WG, Illig T, Järvelin MR, Kähönen M, Kaprio J, Kirkpatrick RM, Kowgier M, Latvala A, Launer LJ, Lawlor DA, Lehtimäki T, Li J, Lichtenstein P, Lichtner P, Liewald DC, Madden PA, Magnusson PKE, Mäkinen TE, Masala M, McGue M, Metspalu A, Mielck A, Miller MB, Montgomery GW, Mukherjee S, Nyholt DR, Oostra BA, Palmer LJ, Palotie A, Penninx B, Perola M, Peyser PA, Preisig M, Räikkönen K, Raitakari OT, Realo A, Ring SM, Ripatti S, Rivadeneira F, Rudan I, Rustichini A, Salomaa V, Sarin AP, Schlessinger D, Scott RJ, Snieder H, Pourcain BS, Starr JM, Sul JH, Surakka I, Svento R, Teumer A, The LifeLines Cohort Study, Tiemeier H, Rooij FJA, Van Wagoner DR, Vartiainen E, Viikari J, Vollenweider P, Vonk JM, Waeber G, Weir DR, Wichmann HE, Widen E, Willemsen G, Wilson JF, Wright AF, Conley D, Davey-Smith G, Franke L, Groenen PJF, Hofman A, Johannesson M, Kardia SL, Krueger RF, Laibson D, Martin NG, Meyer MN, Posthuma D, Thurik AR, Timpson NJ, Uitterlinden AG, van Duijn CM, Visscher PM, Benjamin DJ, Cesarini D, Koellinger PD. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science 2013; 340:1467-71. [PMID: 23722424 PMCID: PMC3751588 DOI: 10.1126/science.1235488] [Show More Authors] [Citation(s) in RCA: 505] [Impact Index Per Article: 42.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
A genome-wide association study (GWAS) of educational attainment was conducted in a discovery sample of 101,069 individuals and a replication sample of 25,490. Three independent single-nucleotide polymorphisms (SNPs) are genome-wide significant (rs9320913, rs11584700, rs4851266), and all three replicate. Estimated effects sizes are small (coefficient of determination R(2) ≈ 0.02%), approximately 1 month of schooling per allele. A linear polygenic score from all measured SNPs accounts for ≈2% of the variance in both educational attainment and cognitive function. Genes in the region of the loci have previously been associated with health, cognitive, and central nervous system phenotypes, and bioinformatics analyses suggest the involvement of the anterior caudate nucleus. These findings provide promising candidate SNPs for follow-up work, and our effect size estimates can anchor power analyses in social-science genetics.
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Affiliation(s)
- Cornelius A. Rietveld
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, 3000 DR Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, The Netherlands
| | - Sarah E. Medland
- Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia
| | - Jaime Derringer
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO 80309–0447, USA
| | - Jian Yang
- University of Queensland Diamantina Institute, The University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4102, Australia
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Nicolas W. Martin
- Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia
- School of Psychology, University of Queensland, Brisbane, Queensland 4072, Australia
| | - Harm-Jan Westra
- Department of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Konstantin Shakhbazov
- University of Queensland Diamantina Institute, The University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4102, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Abdel Abdellaoui
- Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Eva Albrecht
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Behrooz Z. Alizadeh
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands
| | - Najaf Amin
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
| | - John Barnard
- Heart and Vascular and Lerner Research Institutes, Cleveland Clinic, Cleveland, OH 44195, USA
| | | | - Kelly S. Benke
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario M5G 1X5, Canada
| | - Lawrence F. Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109–2029, USA
| | - Jeffrey A. Boatman
- Division of Biostatistics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Patricia A. Boyle
- Rush University Medical Center, Rush Alzheimer’s Disease Center, Chicago, IL 60612, USA
| | - Gail Davies
- Centre for Cognitive Aging and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, Scotland, UK
| | - Christiaan de Leeuw
- Department of Functional Genomics, VU University Amsterdam and VU Medical Center, 1081 HV Amsterdam, The Netherlands
| | - Niina Eklund
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki 00014, Finland
- Public Health Genomics Unit, Department of Chronic Disease Prevention, The National Institute for Health and Welfare, Helsinki 00014, Finland
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, CA 94107–1728, USA
| | - Rudolf Ferhmann
- Department of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Håkon K. Gjessing
- Department of Genes and Environment, Division of Epidemiology, Norwegian Institute of Public Health, Nydalen, N-0403 Oslo, Norway
| | - Sara Hägg
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, 751 85 Uppsala, Sweden
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 751 23 Uppsala, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Jennifer R. Harris
- Department of Genes and Environment, Division of Epidemiology, Norwegian Institute of Public Health, Nydalen, N-0403 Oslo, Norway
| | - Caroline Hayward
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Christina Holzapfel
- Else Kroener-Fresenius-Centre for Nutritional Medicine, Technische Universität München, 81675 Munich, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Carla A. Ibrahim-Verbaas
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
- Department of Neurology, Erasmus Medical Center, Rotterdam 3000 CA, The Netherlands
| | - Erik Ingelsson
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, 751 85 Uppsala, Sweden
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 751 23 Uppsala, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Bo Jacobsson
- Department of Genes and Environment, Division of Epidemiology, Norwegian Institute of Public Health, Nydalen, N-0403 Oslo, Norway
- Department of Obstetrics and Gynecology, Institute of Public Health, Sahlgrenska Academy, Sahgrenska University Hospital, Gothenburg, 413 45, Sweden
| | - Peter K. Joshi
- Centre for Population Health Sciences, The University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Astanand Jugessur
- Department of Genes and Environment, Division of Epidemiology, Norwegian Institute of Public Health, Nydalen, N-0403 Oslo, Norway
| | - Marika Kaakinen
- Institute of Health Sciences, University of Oulu, Oulu 90014, Finland
- Biocenter Oulu, University of Oulu, Oulu 90014, Finland
| | - Stavroula Kanoni
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Juha Karjalainen
- Department of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Ivana Kolcic
- Faculty of Medicine, University of Split, 21000 Split, Croatia
| | - Kati Kristiansson
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki 00014, Finland
- Public Health Genomics Unit, Department of Chronic Disease Prevention, The National Institute for Health and Welfare, Helsinki 00014, Finland
| | - Zoltán Kutalik
- Department of Medical Genetics, University of Lausanne, 1005 Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Jari Lahti
- Institute of Behavioral Sciences, University of Helsinki, Helsinki 00014, Finland
| | - Sang H. Lee
- Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia
| | - Peng Lin
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Penelope A. Lind
- Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia
| | - Yongmei Liu
- Department of Epidemiology & Prevention, Division of Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, NC 27157–1063, USA
| | - Kurt Lohman
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, NC 27157–1063, USA
| | - Marisa Loitfelder
- Division for Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz 8036, Austria
| | - George McMahon
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2PR, UK
| | - Pedro Marques Vidal
- Institute of Social and Preventive Medicine, Lausanne University Hospital, 1005 Lausanne, Switzerland
| | - Osorio Meirelles
- National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Ronny Myhre
- Department of Genes and Environment, Division of Epidemiology, Norwegian Institute of Public Health, Nydalen, N-0403 Oslo, Norway
| | - Marja-Liisa Nuotio
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki 00014, Finland
- Public Health Genomics Unit, Department of Chronic Disease Prevention, The National Institute for Health and Welfare, Helsinki 00014, Finland
| | - Christopher J. Oldmeadow
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW 2308, Australia
| | - Katja E. Petrovic
- Division of General Neurology, Department of Neurology, General Hospital and Medical University of Graz, Graz 8036, Austria
| | - Wouter J. Peyrot
- Department of Psychiatry, VU University Medical Center, 1081 HL Amsterdam, The Netherlands
| | - Ozren Polašek
- Faculty of Medicine, University of Split, 21000 Split, Croatia
| | - Lydia Quaye
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Eva Reinmaa
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - John P. Rice
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Thais S. Rizzi
- Department of Functional Genomics, VU University Amsterdam and VU Medical Center, 1081 HV Amsterdam, The Netherlands
| | - Helena Schmidt
- Institute of Molecular Biology and Biochemistry, Medical University of Graz, Graz 8036, Austria
| | - Reinhold Schmidt
- Division for Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz 8036, Austria
| | - Albert V. Smith
- Icelandic Heart Association, Kopavogur 201, Iceland
- Department of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109–2029, USA
| | - Toshiko Tanaka
- National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - Antonio Terracciano
- National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
- College of Medicine, Florida State University, Tallahassee, FL 32306–4300, USA
| | - Matthijs J.H.M. van der Loos
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, 3000 DR Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, The Netherlands
| | - Veronique Vitart
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17489, Germany
| | - Jürgen Wellmann
- Institute of Epidemiology and Social Medicine, University of Muenster, 48129 Muenster, Germany
| | - Lei Yu
- Rush University Medical Center, Rush Alzheimer’s Disease Center, Chicago, IL 60612, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109–2029, USA
| | - Jüri Allik
- Department of Psychology, University of Tartu, Tartu 50410, Estonia
| | - John R. Attia
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW 2308, Australia
| | | | - François Bastardot
- Department of Internal Medicine, University Hospital, 1011 Lausanne, Switzerland
| | | | - David A. Bennett
- Rush University Medical Center, Rush Alzheimer’s Disease Center, Chicago, IL 60612, USA
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Muenster, 48129 Muenster, Germany
| | - Laura J. Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Dorret I. Boomsma
- Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands
| | - Ute Bültmann
- Department of Health Sciences, Community & Occupational Medicine, University Medical Center Groningen, 9700 AD Groningen, The Netherlands
| | - Harry Campbell
- Centre for Population Health Sciences, The University of Edinburgh, Edinburgh EH8 9AG, UK
| | | | - Lynn Cherkas
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Mina K. Chung
- Heart and Vascular and Lerner Research Institutes, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica, CNR, Monserrato, 09042, Cagliari, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, 07100 SS, Italy
| | - Mariza de Andrade
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA
| | - Philip L. De Jager
- Program in Translational Neuropsychiatric Genomics, Department of Neurology, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Jan-Emmanuel De Neve
- School of Public Policy, University College London, London WC1H 9QU, UK
- Centre for Economic Performance, London School of Economics, London WC2A 2AE, UK
| | - Ian J. Deary
- Centre for Cognitive Aging and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, Scotland, UK
- Department of Psychology, The University of Edinburgh, Edinburgh EH8 9JZ, Scotland, UK
| | - George V. Dedoussis
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens 17671, Greece
| | - Panos Deloukas
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Maria Dimitriou
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens 17671, Greece
| | | | - Martin F. Elderson
- LifeLines Cohort Study, University of Groningen, University Medical Center Groningen, 9700 RB Groningen, The Netherlands
| | - Johan G. Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki 00014, Finland
- Unit of General Practice, Helsinki University Central Hospital, Helsinki 00280, Finland
- Folkhälsan Research Center, Helsinki 00250, Finland
- Vaasa Central Hospital, Vaasa 65130, Finland
| | - David M. Evans
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol BS8 2PR, UK
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA
| | - Luigi Ferrucci
- National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - Melissa E. Garcia
- National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur 201, Iceland
- Department of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Juliette M. Harris
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Tamara B. Harris
- National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - Nicholas D. Hastie
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Andrew C. Heath
- Division of Biology and Biomedical Sciences, Washington University, St. Louis, MO 63110–1093, USA
| | - Dena G. Hernandez
- National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - Wolfgang Hoffmann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17489, Germany
| | - Adriaan Hofman
- Faculty of Behavioral and Social Sciences, University of Groningen, 9747 AD Groningen, The Netherlands
| | - Rolf Holle
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Elizabeth G. Holliday
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW 2308, Australia
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands
| | - William G. Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN 55455–0344, USA
| | - Thomas Illig
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
- Hannover Unified Biobank, Hannover Medical School, 30625 Hannover, Germany
| | - Marjo-Riitta Järvelin
- Institute of Health Sciences, University of Oulu, Oulu 90014, Finland
- Biocenter Oulu, University of Oulu, Oulu 90014, Finland
- Department of Epidemiology and Biostatistics, MRC-HPA Centre for Environment and Health, Imperial College London, London W2 1PG, UK
- Unit of Primary Care, Oulu University Hospital, Oulu 90220, Finland
- Department of Children and Young People and Families, National Institute for Health and Welfare, Oulu 90101, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and University of Tampere School of Medicine, Tampere 33520, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki 00014, Finland
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, 00300 Helsinki, Finland
| | | | - Matthew Kowgier
- Ontario Institute for Cancer Research, Toronto, Ontario M5G 0A3, Canada
| | - Antti Latvala
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, 00300 Helsinki, Finland
| | - Lenore J. Launer
- National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - Debbie A. Lawlor
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol BS8 2PR, UK
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere University Hospital, Tampere 33520, Finland
| | - Jingmei Li
- Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Peter Lichtner
- Institute of Human Genetics, Helmholtz Centre Munich, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - David C. Liewald
- Centre for Cognitive Aging and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, Scotland, UK
| | - Pamela A. Madden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Patrik K. E. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Tomi E. Mäkinen
- Department of Health, Functional Capacity and Welfare, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Marco Masala
- Istituto di Ricerca Genetica e Biomedica, CNR, Monserrato, 09042, Cagliari, Italy
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN 55455–0344, USA
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Andreas Mielck
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Michael B. Miller
- Department of Psychology, University of Minnesota, Minneapolis, MN 55455–0344, USA
| | - Grant W. Montgomery
- Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia
| | - Sutapa Mukherjee
- Western Australia Sleep Disorders Research Institute, Sir Charles Gairdner Hospital, Perth, Western Australia 6009, Australia
- Department of Medicine, University of Toronto, Toronto, Ontario M5S 1A8, Canada
- Women’s College Research Institute, University of Toronto, Toronto, Ontario M5G 1N8, Canada
| | - Dale R. Nyholt
- Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia
| | - Ben A. Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Lyle J. Palmer
- Ontario Institute for Cancer Research, Toronto, Ontario M5G 0A3, Canada
| | - Aarno Palotie
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki 00014, Finland
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
- Department of Medical Genetics, University of Helsinki, 00014 Helsinki, Finland
| | - Brenda Penninx
- Department of Psychiatry, VU University Medical Center, 1081 HL Amsterdam, The Netherlands
| | - Markus Perola
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki 00014, Finland
- Public Health Genomics Unit, Department of Chronic Disease Prevention, The National Institute for Health and Welfare, Helsinki 00014, Finland
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109–2029, USA
| | - Martin Preisig
- Department of Internal Medicine, University Hospital, 1011 Lausanne, Switzerland
| | - Katri Räikkönen
- Institute of Behavioral Sciences, University of Helsinki, Helsinki 00014, Finland
| | - Olli T. Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20520, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku 20520, Finland
| | - Anu Realo
- Department of Psychology, University of Tartu, Tartu 50410, Estonia
| | - Susan M. Ring
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2PR, UK
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki 00014, Finland
- Public Health Genomics Unit, Department of Chronic Disease Prevention, The National Institute for Health and Welfare, Helsinki 00014, Finland
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam 3000 CA, The Netherlands
| | - Igor Rudan
- Centre for Population Health Sciences, The University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Aldo Rustichini
- Department of Economics, University of Minnesota, Minneapolis, MN 55455–0462, USA
| | - Veikko Salomaa
- Chronic Disease Epidemiology Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Antti-Pekka Sarin
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki 00014, Finland
| | - David Schlessinger
- National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - Rodney J. Scott
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW 2308, Australia
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands
| | - Beate St Pourcain
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol BS8 2PR, UK
- School of Oral and Dental Sciences, University of Bristol, Bristol BS1 2LY, UK
| | - John M. Starr
- Centre for Cognitive Aging and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, Scotland, UK
- Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, Edinburgh EH8 9JZ, Scotland, UK
| | - Jae Hoon Sul
- Department of Computer Science, University of California, Los Angeles, CA 90095, USA
| | - Ida Surakka
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki 00014, Finland
- Public Health Genomics Unit, Department of Chronic Disease Prevention, The National Institute for Health and Welfare, Helsinki 00014, Finland
| | - Rauli Svento
- Department of Economics, Oulu Business School, University of Oulu, Oulu 90014, Finland
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald 17487, Germany
| | | | - Henning Tiemeier
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, 3000 CB Rotterdam, The Netherlands
| | - Frank JAan Rooij
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, The Netherlands
| | - David R. Van Wagoner
- Heart and Vascular and Lerner Research Institutes, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Erkki Vartiainen
- Division of Welfare and Health Promotion, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Jorma Viikari
- Department of Medicine, Turku University Hospital, Turku 20520, Finland
| | - Peter Vollenweider
- Department of Internal Medicine, University Hospital, 1011 Lausanne, Switzerland
| | - Judith M. Vonk
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands
| | - Gérard Waeber
- Department of Internal Medicine, University Hospital, 1011 Lausanne, Switzerland
| | - David R. Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA
| | - H.-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, 81377 Munich, Germany
- Klinikum Grosshadern, 81377 Munich, Germany
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Centre for Environmental Health, 85764 Neuherberg, Germany
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki 00014, Finland
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands
| | - James F. Wilson
- Centre for Population Health Sciences, The University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Alan F. Wright
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Dalton Conley
- Department of Sociology, New York University, New York, NY 10012, USA
| | - George Davey-Smith
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol BS8 2PR, UK
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Patrick J. F. Groenen
- Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam 3000 DR, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, The Netherlands
| | - Magnus Johannesson
- Department of Economics, Stockholm School of Economics, Stockholm 113 83, Sweden
| | - Sharon L.R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109–2029, USA
| | - Robert F. Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN 55455–0344, USA
| | - David Laibson
- Department of Economics, Harvard University, Cambridge, MA 02138, USA
| | - Nicholas G. Martin
- Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia
| | - Michelle N. Meyer
- Petrie-Flom Center for Health Law Policy, Biotechnology, & Bioethics, Harvard Law School, Cambridge, MA 02138, USA
- Nelson A. Rockefeller Institute of Government, State University of New York, Albany, NY 12203–1003, USA
| | - Danielle Posthuma
- Department of Functional Genomics, VU University Amsterdam and VU Medical Center, 1081 HV Amsterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, 3000 CB Rotterdam, The Netherlands
- Department of Clinical Genetics, VU University Medical Centrer, 1081 BT Amsterdam, The Netherlands
| | - A. Roy Thurik
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, 3000 DR Rotterdam, The Netherlands
- Panteia, Zoetermeer 2701 AA, Netherlands
- GSCM-Montpellier Business School, Montpellier 34185, France
| | - Nicholas J. Timpson
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol BS8 2PR, UK
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam 3000 CA, The Netherlands
| | - Cornelia M. van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
- Centre for Medical Systems Biology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | - Peter M. Visscher
- Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia
- University of Queensland Diamantina Institute, The University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4102, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland 4072, Australia
| | | | - David Cesarini
- Center for Experimental Social Science, Department of Economics, New York University, New York, NY 10012, USA
- Division of Social Science, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE
- Research Institute of Industrial Economics, Stockholm 102 15, Sweden
| | - Philipp D. Koellinger
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, 3000 DR Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, The Netherlands
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Unger S, Górna M, Le Béchec A, Do Vale-Pereira S, Bedeschi M, Geiberger S, Grigelioniene G, Horemuzova E, Lalatta F, Lausch E, Magnani C, Nampoothiri S, Nishimura G, Petrella D, Rojas-Ringeling F, Utsunomiya A, Zabel B, Pradervand S, Harshman K, Campos-Xavier B, Bonafé L, Superti-Furga G, Stevenson B, Superti-Furga A. FAM111A mutations result in hypoparathyroidism and impaired skeletal development. Am J Hum Genet 2013; 92:990-5. [PMID: 23684011 DOI: 10.1016/j.ajhg.2013.04.020] [Citation(s) in RCA: 86] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2013] [Revised: 04/17/2013] [Accepted: 04/23/2013] [Indexed: 10/26/2022] Open
Abstract
Kenny-Caffey syndrome (KCS) and the similar but more severe osteocraniostenosis (OCS) are genetic conditions characterized by impaired skeletal development with small and dense bones, short stature, and primary hypoparathyroidism with hypocalcemia. We studied five individuals with KCS and five with OCS and found that all of them had heterozygous mutations in FAM111A. One mutation was identified in four unrelated individuals with KCS, and another one was identified in two unrelated individuals with OCS; all occurred de novo. Thus, OCS and KCS are allelic disorders of different severity. FAM111A codes for a 611 amino acid protein with homology to trypsin-like peptidases. Although FAM111A has been found to bind to the large T-antigen of SV40 and restrict viral replication, its native function is unknown. Molecular modeling of FAM111A shows that residues affected by KCS and OCS mutations do not map close to the active site but are clustered on a segment of the protein and are at, or close to, its outer surface, suggesting that the pathogenesis involves the interaction with as yet unidentified partner proteins rather than impaired catalysis. FAM111A appears to be crucial to a pathway that governs parathyroid hormone production, calcium homeostasis, and skeletal development and growth.
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