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Huang H, Yang B, Yu R, Ouyang W, Tong J, Le Y. Very high high-density lipoprotein cholesterol may be associated with higher risk of cognitive impairment in older adults. Nutr J 2024; 23:79. [PMID: 39020341 PMCID: PMC11253464 DOI: 10.1186/s12937-024-00983-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 07/10/2024] [Indexed: 07/19/2024] Open
Abstract
BACKGROUND Previous studies have shown that high-density lipoprotein cholesterol (HDL-C) levels are positively associated with cognitive function across a range of concentrations. However, recent studies have suggested that very high HDL-C levels may lead to poorer outcomes. Therefore, we aimed to investigate the relationship between different concentrations of HDL-C and cognitive impairment risk. METHODS We collected data from 3632 participants aged over 60 years from the U.S. National Health and Nutrition Examination Survey (NHANES) between 2011 and 2014 to assess the relationship between HDL-C and cognitive function. Cognitive function was evaluated with the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) test, the animal fluency test (AFT), and the digit symbol substitution test (DSST). We used restricted cubic spline models and logistic regression to examine the association between HDL-C and cognitive function. RESULTS A U-shaped was observed between HDL-C and cognitive outcomes, individuals with higher risk in those with both low and very high HDL-C levels compared with those with midrange values. Very high HDL-C levels (≥ 2.50 mmol/L) were associated with increased risk of cognitive impairment (OR = 2.19; 95% CI, 1.12-4.28) compared with those with HDL-C levels in the range of 1.50 to 1.99 mmol/L in older adults after adjustment for confounding factors. Interaction test demonstrated that relationship between very high HDL-C and the risk of cognitive impairment was not changed in different sex and race group (P for interaction > 0.05). CONCLUSIONS Very high HDL-C levels were associated with an increased risk of cognitive impairment. HDL-C may not be a protective factor for maintaining brain health in older adults at very high levels.
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Affiliation(s)
- Huifan Huang
- Department of Anesthesiology, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Department of Anesthesiology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Bin Yang
- Department of Anesthesiology, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Renhe Yu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Wen Ouyang
- Department of Anesthesiology, the Third Xiangya Hospital, Central South University, Changsha, China
- Hunan Province Key Laboratory of Brain Homeostasis, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Jianbin Tong
- Department of Anesthesiology, the Third Xiangya Hospital, Central South University, Changsha, China
- Hunan Province Key Laboratory of Brain Homeostasis, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Yuan Le
- Department of Anesthesiology, the Third Xiangya Hospital, Central South University, Changsha, China.
- Hunan Province Key Laboratory of Brain Homeostasis, the Third Xiangya Hospital, Central South University, Changsha, China.
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Wang H, Zhu Y, Zheng L, Chen M, Hao Z, Guo R, Feng L, Wang D. Association of the COL4A2 Gene Polymorphisms with Primary Intracerebral Hemorrhage Risk and Outcome in Chinese Han Population. Mol Neurobiol 2024:10.1007/s12035-024-04146-z. [PMID: 38565785 DOI: 10.1007/s12035-024-04146-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 03/23/2024] [Indexed: 04/04/2024]
Abstract
The relationship of single nucleotide polymorphisms (SNPs) in COL4A2 gene with risk and outcome of primary intracerebral hemorrhage (ICH) in the Chinese Han population remains unclear, which was investigated in this study. Primary ICH patients and non-stroke controls of Chinese Han ethnicity were enrolled. The genotypes of 8 tag-SNPs were determined using a custom-by-design 48-Plex SNPscan Kit. Poor 3-month outcome was defined as modified Rankin Scale score 4-6. Logistic regression was employed to examine association between COL4A2 variants and risk and poor outcome of primary ICH. 323 patients with primary ICH and 376 stroke-free controls were included. Compared to controls, the rs1049931 G and rs1049906 C alleles were associated with increased ICH risk (p = 0.027 and 0.033), and these two allele counts increased this risk after adjustments respectively (additive model: adjusted OR [aOR] 1.41, 95% CI 1.03-1.94, corrected p = 0.043; aOR 1.37, 95% CI 1.01-1.86, corrected p = 0.043). The rs1049931 AG/GG and rs1049906 CT/CC genotypes showed increased susceptibility to non-lobar hemorrhage (aOR 1.63, 95% CI 1.06-2.50, p = 0.025; aOR 1.63, 95% CI 1.07-2.47, p = 0.022). Haplotype analysis revealed an association between rs1049906-rs1049931 haplotype CG and ICH risk (OR 1.36, 95% CI 1.05-1.78, p = 0.021). Regarding clinical outcome, the rs3803230 C allele (dominant model: aOR 1.94, 95% CI 1.04-3.63, p = 0.037) and haplotype AC of rs7990214-rs3803230 (OR 1.98, 95% CI 1.13-3.46, p = 0.015) contributed to 3-month poor outcome. The COL4A2 polymorphisms are associated with an increased risk of primary ICH, mainly non-lobar hemorrhage, and with long-term poor outcome after ICH in Chinese Han population.
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Affiliation(s)
- Huan Wang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China
- Center of Cerebrovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yuyi Zhu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China
- Center of Cerebrovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lukai Zheng
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, 81377, Munich, Germany
| | - Mingxi Chen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China
- Center of Cerebrovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zilong Hao
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China
- Center of Cerebrovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Rui Guo
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ling Feng
- Department of Neurology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China.
| | - Deren Wang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China.
- Center of Cerebrovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, China.
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3
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Myserlis EP, Georgakis MK, Demel SL, Sekar P, Chung J, Malik R, Hyacinth HI, Comeau ME, Falcone G, Langefeld CD, Rosand J, Woo D, Anderson CD. A Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage. Stroke 2023; 54:973-982. [PMID: 36799223 PMCID: PMC10050100 DOI: 10.1161/strokeaha.122.041701] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 01/11/2023] [Indexed: 02/18/2023]
Abstract
BACKGROUND Intracerebral hemorrhage (ICH) has an estimated heritability of 29%. We developed a genomic risk score for ICH and determined its predictive power in comparison to standard clinical risk factors. METHODS We combined genome-wide association data from individuals of European ancestry for ICH and related traits in a meta-genomic risk score ([metaGRS]; 2.6 million variants). We tested associations with ICH and its predictive performance in addition to clinical risk factors in a held-out validation dataset (842 cases and 796 controls). We tested associations with risk of incident ICH in the population-based UK Biobank cohort (486 784 individuals, 1526 events, median follow-up 11.3 years). RESULTS One SD increment in the metaGRS was significantly associated with 31% higher odds for ICH (95% CI, 1.16-1.48) in age-, sex- and clinical risk factor-adjusted models. The metaGRS identified individuals with almost 5-fold higher odds for ICH in the top score percentile (odds ratio, 4.83 [95% CI, 1.56-21.2]). Predictive models for ICH incorporating the metaGRS in addition to clinical predictors showed superior performance compared to the clinical risk factors alone (c-index, 0.695 versus 0.686). The metaGRS showed similar associations for lobar and nonlobar ICH, independent of the known APOE risk locus for lobar ICH. In the UK Biobank, the metaGRS was associated with higher risk of incident ICH (hazard ratio, 1.15 [95% CI, 1.09-1.21]). The associations were significant within both a relatively high-risk population of antithrombotic medications users, as well as among a relatively low-risk population with a good control of vascular risk factors and no use of anticoagulants. CONCLUSIONS We developed and validated a genomic risk score that predicts lifetime risk of ICH beyond established clinical risk factors among individuals of European ancestry. Whether implementation of the score in risk prognostication models for high-risk populations, such as patients under antithrombotic treatment, could improve clinical decision making should be explored in future studies.
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Affiliation(s)
- Evangelos Pavlos Myserlis
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Medical University of South Carolina, Charleston, SC, USA
| | - Marios K. Georgakis
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Stacie L. Demel
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Padmini Sekar
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jaeyoon Chung
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Hyacinth I. Hyacinth
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Mary E. Comeau
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Guido Falcone
- Division of Neurocritical Care & Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Carl D. Langefeld
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Christopher D. Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
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Wang RZ, Huang SY, Li HQ, Yang YX, Chen SD, Yu JT. Genetic determinants of circulating metabolites and the risk of stroke and its subtypes. Eur J Neurol 2022; 29:3711-3719. [PMID: 36086915 DOI: 10.1111/ene.15549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 08/30/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Circulating metabolites have been implicated in stroke pathogenesis, but their genetic determinants are understudied. Using a Mendelian randomization approach, our aim was to provide evidence for the relationship of circulating metabolites and the risk of stroke and its subtypes. METHODS Genetic instruments of 102 circulating metabolites were obtained from a genome-wide association study, including 24,925 European individuals. Stroke was extracted from the MEGASTROKE dataset (67,162 cases; 454,450 controls) and a lacunar stroke dataset (7338 cases; 254,798 controls). The magnetic resonance imaging markers of cerebral small vessel disease and microstructural injury were evaluated by a genome-wide association study of white matter hyperintensities (N = 18,381), fractional anisotropy (N = 17,663), mean diffusivity (N = 17,467) and brain microbleeds (N = 25,862). The inverse-variance weighted method Mendelian randomization was used as the primary analytical method, and directional pleiotropy and heterogeneity were examined in sensitivity analyses. RESULTS A genetic predisposition to a higher level of cholesterol in small and low-density lipoprotein (LDL) was associated with risk of stroke (odds ratio [OR] 1.14, 95% confidence interval [CI] 1.08-1.21, p = 5.98 × 10-7 ), especially for large-artery atherosclerotic stroke (OR 1.34, 95% CI 1.19-1.52, p = 1.90 × 10-6 ). Total lipids in LDL particles were also associated with risk of stroke. A genetically determined higher cholesterol level in high-density lipoprotein (HDL-C) was associated with risk of intracerebral haemorrhage (OR 1.74, 95% CI 1.23-2.45, p = 1.66 × 10-3 ). No statistically significant association was found between genetic predisposition to circulating metabolites and magnetic resonance imaging markers of cerebral small vessel disease and microstructural injury. CONCLUSIONS Genetically determined levels of lipids in small LDL were associated with the risk of stroke, suggesting that a therapeutic strategy targeting small LDL levels may be crucial for stroke prevention. HDL-C was positively associated with the risk of intracerebral haemorrhage.
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Affiliation(s)
- Rong-Ze Wang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shu-Yi Huang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hong-Qi Li
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu-Xiang Yang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
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5
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Mayerhofer E, Malik R, Parodi L, Burgess S, Harloff A, Dichgans M, Rosand J, Anderson CD, Georgakis MK. Genetically predicted on-statin LDL response is associated with higher intracerebral haemorrhage risk. Brain 2022; 145:2677-2686. [PMID: 35598204 PMCID: PMC9612789 DOI: 10.1093/brain/awac186] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 04/30/2022] [Accepted: 05/12/2022] [Indexed: 11/14/2022] Open
Abstract
Statins lower low-density lipoprotein cholesterol and are widely used for the prevention of atherosclerotic cardiovascular disease. Whether statin-induced low-density lipoprotein reduction increases risk of intracerebral haemorrhage has been debated for almost two decades. Here, we explored whether genetically predicted on-statin low-density lipoprotein response is associated with intracerebral haemorrhage risk using Mendelian randomization. Using genomic data from randomized trials, we derived a polygenic score from 35 single nucleotide polymorphisms of on-statin low-density lipoprotein response and tested it in the population-based UK Biobank. We extracted statin drug and dose information from primary care data on a subset of 225 195 UK Biobank participants covering a period of 29 years. We validated the effects of the genetic score on longitudinal low-density lipoprotein measurements with generalized mixed models and explored associations with incident intracerebral haemorrhage using Cox regression analysis. Statins were prescribed at least once to 75 973 (31%) of the study participants (mean 57 years, 55% females). Among statin users, mean low-density lipoprotein decreased by 3.45 mg/dl per year [95% confidence interval (CI): (-3.47, -3.42)] over follow-up. A higher genetic score of statin response [1 standard deviation (SD) increment] was associated with significant additional reductions in low-density lipoprotein levels [-0.05 mg/dl per year, (-0.07, -0.02)], showed concordant lipidomic effects on other lipid traits as statin use and was associated with a lower risk for incident myocardial infarction [hazard ratio per SD increment 0.98 95% CI (0.96, 0.99)] and peripheral artery disease [hazard ratio per SD increment 0.93 95% CI (0.87, 0.99)]. Over a 11-year follow-up period, a higher genetically predicted statin response among statin users was associated with higher intracerebral haemorrhage risk in a model adjusting for statin dose [hazard ratio per SD increment 1.16, 95% CI (1.05, 1.28)]. On the contrary, there was no association with intracerebral haemorrhage risk among statin non-users (P = 0.89). These results provide further support for the hypothesis that statin-induced low-density lipoprotein reduction may be causally associated with intracerebral haemorrhage risk. While the net benefit of statins for preventing vascular disease is well-established, these results provide insights about the personalized response to statin intake and the role of pharmacological low-density lipoprotein lowering in the pathogenesis of intracerebral haemorrhage.
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Affiliation(s)
- Ernst Mayerhofer
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston, MA, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology and Neurophysiology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany
| | - Livia Parodi
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston, MA, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephen Burgess
- University of Cambridge, MRC Biostatistics Unit, Cambridge, UK
| | - Andreas Harloff
- Department of Neurology and Neurophysiology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston, MA, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Christopher D Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston, MA, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Marios K Georgakis
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston, MA, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany
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Ekkert A, Šliachtenko A, Utkus A, Jatužis D. Intracerebral Hemorrhage Genetics. Genes (Basel) 2022; 13:genes13071250. [PMID: 35886033 PMCID: PMC9322856 DOI: 10.3390/genes13071250] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/04/2022] [Accepted: 07/11/2022] [Indexed: 02/01/2023] Open
Abstract
Intracerebral hemorrhage (ICH) is a devastating type of stroke, frequently resulting in unfavorable functional outcomes. Up to 15% of stroke patients experience ICH and approximately half of those have a lethal outcome within a year. Considering the huge burden of ICH, timely prevention and optimized treatment strategies are particularly relevant. Nevertheless, ICH management options are quite limited, despite thorough research. More and more trials highlight the importance of the genetic component in the pathogenesis of ICH. Apart from distinct monogenic disorders of familial character, mostly occurring in younger subjects, there are numerous polygenic risk factors, such as hypertension, neurovascular inflammation, disorders of lipid metabolism and coagulation cascade, and small vessel disease. In this paper we describe gene-related ICH types and underlying mechanisms. We also briefly discuss the emerging treatment options and possible clinical relevance of the genetic findings in ICH management. Although existing data seems of more theoretical and scientific value so far, a growing body of evidence, combined with rapidly evolving experimental research, will probably serve clinicians in the future.
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Affiliation(s)
- Aleksandra Ekkert
- Center of Neurology, Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania;
- Correspondence:
| | | | - Algirdas Utkus
- Center for Medical Genetics, Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania;
| | - Dalius Jatužis
- Center of Neurology, Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania;
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Genetics and Epigenetics of Spontaneous Intracerebral Hemorrhage. Int J Mol Sci 2022; 23:ijms23126479. [PMID: 35742924 PMCID: PMC9223468 DOI: 10.3390/ijms23126479] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/03/2022] [Accepted: 06/07/2022] [Indexed: 12/15/2022] Open
Abstract
Intracerebral hemorrhage (ICH) is a complex and heterogeneous disease, and there is no effective treatment. Spontaneous ICH represents the final manifestation of different types of cerebral small vessel disease, usually categorized as: lobar (mostly related to cerebral amyloid angiopathy) and nonlobar (hypertension-related vasculopathy) ICH. Accurate phenotyping aims to reflect these biological differences in the underlying mechanisms and has been demonstrated to be crucial to the success of genetic studies in this field. This review summarizes how current knowledge on genetics and epigenetics of this devastating stroke subtype are contributing to improve the understanding of ICH pathophysiology and their potential role in developing therapeutic strategies.
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8
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Guo H, You M, Wu J, Chen A, Wan Y, Gu X, Tan S, Xu Y, He Q, Hu B. Genetics of Spontaneous Intracerebral Hemorrhage: Risk and Outcome. Front Neurosci 2022; 16:874962. [PMID: 35478846 PMCID: PMC9036087 DOI: 10.3389/fnins.2022.874962] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 03/14/2022] [Indexed: 01/05/2023] Open
Abstract
Spontaneous intracerebral hemorrhage (ICH) is a common fatal event without an effective therapy. Of note, some familial aggregation and inherited tendency is found in ICH and heritability estimates indicate that genetic variations contribute substantially to ICH risk and outcome. Thus, identification of genetic variants that affect the occurrence and outcome may be helpful for ICH prevention and therapy. There are several reviews summarizing numerous genetic variants associated with the occurrence of ICH before, but genetic variants contributing to location distribution and outcome have rarely been introduced. Here, we summarize the current knowledge of genetic variants and pay special attention to location distribution and outcome. So far, investigations have reveled variations in APOE, GPX1, CR1, ITGAV, PRKCH, and 12q21.1 are associated with lobar ICH (LICH), while ACE, COL4A2, 1q22, TIMP1, TIMP2, MMP2, MMP9, and TNF are associated with deep ICH (DICH). Moreover, variations in APOE, VWF, 17p12, HP, CFH, IL6ST, and COL4A1 are possible genetic contributors to ICH outcome. Furthermore, the prospects for ICH related genetic studies from the bench to the bed were discussed.
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Affiliation(s)
- Hongxiu Guo
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mingfeng You
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiehong Wu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Anqi Chen
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Wan
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xinmei Gu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Senwei Tan
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yating Xu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Quanwei He
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bo Hu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Wang MD, Tian J, Zhang JH, Zhao SY, Song MJ, Wang ZX. Human Galectin-7 Gene LGALS7 Promoter Sequence Polymorphisms and Risk of Spontaneous Intracerebral Hemorrhage: A Prospective Study. Front Mol Neurosci 2022; 15:840340. [PMID: 35401111 PMCID: PMC8984465 DOI: 10.3389/fnmol.2022.840340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 02/04/2022] [Indexed: 11/13/2022] Open
Abstract
Background and purposeDespite evidence for the role of genetic factors in stroke, only a small proportion of strokes have been clearly attributed to monogenic factors, due to phenotypic heterogeneity. The goal of this study was to determine whether a significant relationship exists between human galectin-7 gene LGALS7 promoter region polymorphisms and the risk of stroke due to non-traumatic intracerebral hemorrhage (ICH).MethodsThis two-stage genetic association study included an initial exploratory stage followed by a discovery stage. During the exploratory stage, transgenic galectin-7 mice or transgenic mice with the scrambled sequence of the hairpin structure –silenced down gene LGALS7—were generated and then expressed differentially expressed proteins and galectin-7-interacting proteins were identified through proteomic analysis. During the discovery stage, a single-nucleotide polymorphism (SNP) genotyping approach was used to determine associations between 2 LGALS7 SNPs and ICH stroke risk for a cohort of 24 patients with stroke of the Chinese Han population and 70 controls.ResultsDuring the exploratory phase, LGALS7 expression was found to be decreased in TGLGALS–DOWN mice as compared to its expression in TGLGALS mice. During the discovery phase, analysis of LGALS7 sequences of 24 non-traumatic ICH cases and 70 controls led to the identification of 2 ICH susceptibility loci: a genomic region on 19q13.2 containing two LGALS7 SNPs, rs567785577 and rs138945880, whereby the A allele of rs567785577 and the T allele of rs138945880 were associated with greater risk of contracting ICH [for T and A vs. C and G, unadjusted odds ratio (OR) = 13.5; 95% CI = 2.249–146.5; p = 0.002]. This is the first study to genotype the galectin-7 promoter in patients with hemorrhagic stroke. Genotype and allele association tests and preliminary analysis of patients with stroke revealed that a single locus may be a genetic risk factor for hemorrhagic stroke.ConclusionA and T alleles of two novel SNP loci of 19q13.2, rs567785577 and rs138945880, respectively, were evaluated for associations with susceptibility to ICH. Further studies with expanded case numbers that include subjects of other ethnic populations are needed to elucidate mechanisms underlying associations between these SNPs and ICH risk.
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Affiliation(s)
- Ming-Dong Wang
- Department of Neurosurgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Jing Tian
- Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, China National Clinical Research Center of Respiratory Disease, Beijing, China
| | - John H. Zhang
- Physiology Program, Department of Anesthesiology, Neurosurgery, Neurology, and Physiology, Center for Neuroscience Research, Loma Linda University School of Medicine, Loma Linda, CA, United States
| | - Shun-Ying Zhao
- Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, China National Clinical Research Center of Respiratory Disease, Beijing, China
- *Correspondence: Shun-Ying Zhao,
| | - Ming-Jing Song
- Medical School, Huanghe Science and Technology University, Zhengzhou, China
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
- Ming-Jing Song,
| | - Zhan-Xiang Wang
- Department of Neurosurgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Zhan-Xiang Wang,
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10
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Li H, Qian F, Zuo Y, Yuan J, Chen S, Wu S, Wang A. U-Shaped Relationship of High-Density Lipoprotein Cholesterol and Incidence of Total, Ischemic and Hemorrhagic Stroke: A Prospective Cohort Study. Stroke 2022; 53:1624-1632. [PMID: 35086360 DOI: 10.1161/strokeaha.121.034393] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND We aimed to investigate the association between serially measured HDL-C (high-density lipoprotein cholesterol) levels and stroke risk in a prospective cohort study. METHODS We included 96 258 individuals (79.6% men, mean age 51.5 years) without a history of stroke, myocardial infarction, or cancer at baseline from the Kailuan Study, with repeated measurements of HDL-C in 2006, 2008, 2010, 2012, 2014, and 2016. Cumulatively, averaged HDL-C concentrations were calculated using all available HDL-C measurements before incidence stroke or end of follow-up (December 31, 2017). Incident stroke cases were confirmed by review of medical records and further subclassified into ischemic or hemorrhagic stroke. Cox proportional hazards regression and restricted cubic splines were used to examine these associations. RESULTS During a median follow-up of 10.7 years, 5012 incident stroke cases occurred. Restricted cubic splines analysis suggested a U-shaped association between concentrations of cumulatively averaged HDL-C and risk of stroke (Pnonlinearity <0.001), with the nadir of risk at 1.29 mmol/L. After adjustment for cardiovascular risk factors, individuals with cumulatively averaged HDL-C ≤1.06 mmol/L or ≥2.05 mmol/L had hazard ratios for total stroke of 1.31 (95% CI, 1.15-1.49) and 1.85 (1.63-2.09) compared with those with HDL-C of 1.26 to 1.39 mmol/L. Corresponding hazard ratios were 1.29 (1.11-1.48) and 1.84 (1.60-2.11) for ischemic stroke and 1.54 (1.12-2.12) and 2.29 (1.73-3.04) for hemorrhagic stroke, respectively. CONCLUSIONS Both low and high cumulatively averaged HDL-C were associated with an increased risk of ischemic and hemorrhagic strokes.
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Affiliation(s)
- Haibin Li
- Department of Cardiac Surgery, Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, China (H.L.).,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, China (H.L.).,Beijing Laboratory for Cardiovascular Precision Medicine, China (H.L.)
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (F.Q.)
| | - Yingting Zuo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.Z.)
| | - Jinhuan Yuan
- Department of Epidemiology and Health Statistics, School of Public Health (J.Y.), North China University of Science and Technology, Tangshan, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital (S.C., S.W.), North China University of Science and Technology, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital (S.C., S.W.), North China University of Science and Technology, Tangshan, China
| | - Anxin Wang
- China National Clinical Research Center for Neurological Diseases (A.W.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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11
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Georgakis MK, Gill D. Mendelian Randomization Studies in Stroke: Exploration of Risk Factors and Drug Targets With Human Genetic Data. Stroke 2021; 52:2992-3003. [PMID: 34399585 DOI: 10.1161/strokeaha.120.032617] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Elucidating the causes of stroke is key to developing effective preventive strategies. The Mendelian randomization approach leverages genetic variants related to an exposure of interest to investigate the effects of varying that exposure on disease risk. The random allocation of genetic variants at conception reduces confounding from environmental factors and thus strengthens causal inference, analogous to treatment allocation in a randomized controlled trial. With the recent explosion in the availability of human genetic data, Mendelian randomization has proven a valuable tool for studying risk factors for stroke. In this review, we provide an overview of recent developments in the application of Mendelian randomization to unravel the pathophysiology of stroke subtypes and identify therapeutic targets for clinical translation. The approach has offered novel insight into the differential effects of risk factors and antihypertensive, lipid-lowering, and anticoagulant drug classes on risk of stroke subtypes. Analyses have further facilitated the prioritization of novel drug targets, such as for inflammatory pathways underlying large artery atherosclerotic stroke and for the coagulation cascade that contributes to cardioembolic stroke. With continued methodological advances coupled with the rapidly increasing availability of genetic data related to a broad range of stroke phenotypes, the potential for Mendelian randomization in this context is expanding exponentially.
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Affiliation(s)
- Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD) (M.K.G.), University Hospital of Ludwig Maximilians-University (LMU), Munich, Germany.,Department of Neurology (M.K.G.), University Hospital of Ludwig Maximilians-University (LMU), Munich, Germany
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom (D.G.).,Clinical Pharmacology and Therapeutics Section, Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St George's, University of London, United Kingdom (D.G.).,Clinical Pharmacology Group, Pharmacy and Medicines Directorate, St George's University Hospitals NHS Foundation Trust, London, United Kingdom (D.G.).,Novo Nordisk Research Centre Oxford, Old Road Campus, United Kingdom (D.G.)
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12
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Georgakis MK, Malik R, Anderson CD, Parhofer KG, Hopewell JC, Dichgans M. Genetic determinants of blood lipids and cerebral small vessel disease: role of high-density lipoprotein cholesterol. Brain 2020; 143:597-610. [PMID: 31968102 DOI: 10.1093/brain/awz413] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 10/26/2019] [Accepted: 11/19/2019] [Indexed: 01/14/2023] Open
Abstract
Blood lipids are causally involved in the pathogenesis of atherosclerosis, but their role in cerebral small vessel disease remains largely elusive. Here, we explored associations of genetic determinants of blood lipid levels, lipoprotein particle components, and targets for lipid-modifying drugs with small vessel disease phenotypes. We selected genetic instruments for blood levels of high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglycerides, for cholesterol and triglycerides components of size-defined lipoprotein particles, and for lipid-modifying drug targets based on published genome-wide association studies (up to 617 303 individuals). Applying two-sample Mendelian randomization approaches we investigated associations with ischaemic and haemorrhagic manifestations of small vessel disease [small vessel stroke: 11 710 cases, 287 067 controls; white matter hyperintensities (WMH): 10 597 individuals; intracerebral haemorrhage: 1545 cases, 1481 controls]. We applied the inverse-variance weighted method and multivariable Mendelian randomization as our main analytical approaches. Genetic predisposition to higher HDL-C levels was associated with lower risk of small vessel stroke [odds ratio (OR) per standard deviation = 0.85, 95% confidence interval (CI) = 0.78-0.92] and lower WMH volume (β = -0.07, 95% CI = -0.12 to -0.02), which in multivariable Mendelian randomization remained stable after adjustments for LDL-C and triglycerides. In analyses of lipoprotein particle components by size, we found these effects to be specific for cholesterol concentration in medium-sized high-density lipoprotein, and not large or extra-large high-density lipoprotein particles. Association estimates for intracerebral haemorrhage were negatively correlated with those for small vessel stroke and WMH volume across all lipid traits and lipoprotein particle components. HDL-C raising genetic variants in the gene locus of the target of CETP inhibitors were associated with lower risk of small vessel stroke (OR: 0.82, 95% CI = 0.75-0.89) and lower WMH volume (β = -0.08, 95% CI = -0.13 to -0.02), but a higher risk of intracerebral haemorrhage (OR: 1.64, 95% CI = 1.26-2.13). Genetic predisposition to higher HDL-C, specifically to cholesterol in medium-sized high-density lipoprotein particles, is associated with both a lower risk of small vessel stroke and lower WMH volume. These analyses indicate that HDL-C raising strategies could be considered for the prevention of ischaemic small vessel disease but the net benefit of such an approach would need to be tested in a randomized controlled trial.
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Affiliation(s)
- Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD), University Hospital of Ludwig-Maximilians-University (LMU), Munich, Germany.,Graduate School for Systemic Neurosciences (GSN), Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital of Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Christopher D Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.,Henry and Allison McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Klaus G Parhofer
- Department of Internal Medicine IV, University Hospital of Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Jemma C Hopewell
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital of Ludwig-Maximilians-University (LMU), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Centre for Neurodegenerative Diseases (DZNE), Munich, Germany
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13
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Falcone GJ, Kirsch E, Acosta JN, Noche RB, Leasure A, Marini S, Chung J, Selim M, Meschia JF, Brown DL, Worrall BB, Tirschwell DL, Jagiella JM, Schmidt H, Jimenez-Conde J, Fernandez-Cadenas I, Lindgren A, Slowik A, Gill D, Holmes M, Phuah CL, Petersen NH, Matouk CN, Gunel M, Sansing L, Bennett D, Chen Z, Sun LL, Clarke R, Walters RG, Gill TM, Biffi A, Kathiresan S, Langefeld CD, Woo D, Rosand J, Sheth KN, Anderson CD. Genetically Elevated LDL Associates with Lower Risk of Intracerebral Hemorrhage. Ann Neurol 2020; 88:56-66. [PMID: 32277781 PMCID: PMC7523882 DOI: 10.1002/ana.25740] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 04/01/2020] [Accepted: 04/03/2020] [Indexed: 01/26/2023]
Abstract
OBJECTIVE Observational studies point to an inverse correlation between low-density lipoprotein (LDL) cholesterol levels and risk of intracerebral hemorrhage (ICH), but it remains unclear whether this association is causal. We tested the hypothesis that genetically elevated LDL is associated with reduced risk of ICH. METHODS We constructed one polygenic risk score (PRS) per lipid trait (total cholesterol, LDL, high-density lipoprotein [HDL], and triglycerides) using independent genomewide significant single nucleotide polymorphisms (SNPs) for each trait. We used data from 316,428 individuals enrolled in the UK Biobank to estimate the effect of each PRS on its corresponding trait, and data from 1,286 ICH cases and 1,261 matched controls to estimate the effect of each PRS on ICH risk. We used these estimates to conduct Mendelian Randomization (MR) analyses. RESULTS We identified 410, 339, 393, and 317 lipid-related SNPs for total cholesterol, LDL, HDL, and triglycerides, respectively. All four PRSs were strongly associated with their corresponding trait (all p < 1.00 × 10-100 ). While one SD increase in the PRSs for total cholesterol (odds ratio [OR] = 0.92; 95% confidence interval [CI] = 0.85-0.99; p = 0.03) and LDL cholesterol (OR = 0.88; 95% CI = 0.81-0.95; p = 0.002) were inversely associated with ICH risk, no significant associations were found for HDL and triglycerides (both p > 0.05). MR analyses indicated that 1mmol/L (38.67mg/dL) increase of genetically instrumented total and LDL cholesterol were associated with 23% (OR = 0.77; 95% CI = 0.65-0.98; p = 0.03) and 41% lower risks of ICH (OR = 0.59; 95% CI = 0.42-0.82; p = 0.002), respectively. INTERPRETATION Genetically elevated LDL levels were associated with lower risk of ICH, providing support for a potential causal role of LDL cholesterol in ICH. ANN NEUROL 2020 ANN NEUROL 2020;88:56-66.
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Affiliation(s)
- Guido J. Falcone
- Division of Neurocritical Care & Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Elayna Kirsch
- Division of Neurocritical Care & Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Julian N. Acosta
- Division of Neurocritical Care & Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Rommell B. Noche
- Division of Neurocritical Care & Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Audrey Leasure
- Division of Neurocritical Care & Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Sandro Marini
- Center for Genomic Medicine, Massachusetts General Hospital (MGH), Boston, MA, USA
| | - Jaeyoon Chung
- Center for Genomic Medicine, Massachusetts General Hospital (MGH), Boston, MA, USA
| | - Magdy Selim
- Department of Neurology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA
| | | | - Devin L. Brown
- Stroke Program, Department of Neurology, University of Michigan Health System, Ann Arbor, MI
| | - Bradford B. Worrall
- Department of Neurology and Public Health Sciences, University of Virginia Health System, Charlottesville, VA
| | - David L. Tirschwell
- Stroke Center, Harborview Medical Center, University of Washington, Seattle, WA
| | | | - Helena Schmidt
- Institute of Molecular Biology and Medical Biochemistry, Medical University Graz, Austria
| | - Jordi Jimenez-Conde
- Neurovascular Research Unit, Department of Neurology, Institut Municipal d’Investigacio’ Medica-Hospital del Mar, Universitat Autonoma de Barcelona, Barcelona, Spain
- Program in Inflammation and Cardiovascular Disorders, Institut Municipal d’Investigacio’ Medica-Hospital del Mar, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Israel Fernandez-Cadenas
- Neurovascular Research Laboratory and Neurovascular Unit, Institut de Recerca, Hospital Vall d’Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Arne Lindgren
- Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund, Sweden
| | - Agnieszka Slowik
- Department of Neurology, Jagiellonian University Medical College, Kraków, Poland
| | - Dipender Gill
- Department of Epidemiology and Biostatistics and Department of Stroke Medicine, Imperial College London, London, United Kingdom
| | - Michael Holmes
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Chia-Ling Phuah
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO
| | - Nils H. Petersen
- Division of Neurocritical Care & Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT
| | | | - Murat Gunel
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT
| | - Lauren Sansing
- Division of Vascular Neurology and Stroke, Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Derrick Bennett
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Luan Luan Sun
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Robin G. Walters
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Thomas M. Gill
- Department of Internal Medicine, Geriatric Medicine, Yale School of Medicine, New Haven, CT
| | - Alessandro Biffi
- Center for Genomic Medicine, Massachusetts General Hospital (MGH), Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge MA, USA
- Division of Behavioral Neurology, Department of Neurology, MGH, Boston, MA
- Division of Psychiatry, Department of Psychiatry, MGH, Boston, MA
| | - Sekar Kathiresan
- Center for Genomic Medicine, Massachusetts General Hospital (MGH), Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge MA, USA
- Cardiovascular Disease Prevention Center, MGH, Boston, MA
| | - Carl D. Langefeld
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Daniel Woo
- Department of Neurology, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital (MGH), Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge MA, USA
- Department of Neurology, MGH, Boston, MA
- Henry and Allison McCance Center for Brain Health, MGH, Boston, MA, USA
| | - Kevin N. Sheth
- Division of Neurocritical Care & Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Christopher D. Anderson
- Center for Genomic Medicine, Massachusetts General Hospital (MGH), Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge MA, USA
- Department of Neurology, MGH, Boston, MA
- Henry and Allison McCance Center for Brain Health, MGH, Boston, MA, USA
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14
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Chung J, Marini S, Pera J, Norrving B, Jimenez-Conde J, Roquer J, Fernandez-Cadenas I, Tirschwell DL, Selim M, Brown DL, Silliman SL, Worrall BB, Meschia JF, Demel S, Greenberg SM, Slowik A, Lindgren A, Schmidt R, Traylor M, Sargurupremraj M, Tiedt S, Malik R, Debette S, Dichgans M, Langefeld CD, Woo D, Rosand J, Anderson CD. Genome-wide association study of cerebral small vessel disease reveals established and novel loci. Brain 2020; 142:3176-3189. [PMID: 31430377 DOI: 10.1093/brain/awz233] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 05/30/2019] [Accepted: 06/04/2019] [Indexed: 01/08/2023] Open
Abstract
Intracerebral haemorrhage and small vessel ischaemic stroke (SVS) are the most acute manifestations of cerebral small vessel disease, with no established preventive approaches beyond hypertension management. Combined genome-wide association study (GWAS) of these two correlated diseases may improve statistical power to detect novel genetic factors for cerebral small vessel disease, elucidating underlying disease mechanisms that may form the basis for future treatments. Because intracerebral haemorrhage location is an adequate surrogate for distinct histopathological variants of cerebral small vessel disease (lobar for cerebral amyloid angiopathy and non-lobar for arteriolosclerosis), we performed GWAS of intracerebral haemorrhage by location in 1813 subjects (755 lobar and 1005 non-lobar) and 1711 stroke-free control subjects. Intracerebral haemorrhage GWAS results by location were meta-analysed with GWAS results for SVS from MEGASTROKE, using 'Multi-Trait Analysis of GWAS' (MTAG) to integrate summary data across traits and generate combined effect estimates. After combining intracerebral haemorrhage and SVS datasets, our sample size included 241 024 participants (6255 intracerebral haemorrhage or SVS cases and 233 058 control subjects). Genome-wide significant associations were observed for non-lobar intracerebral haemorrhage enhanced by SVS with rs2758605 [MTAG P-value (P) = 2.6 × 10-8] at 1q22; rs72932727 (P = 1.7 × 10-8) at 2q33; and rs9515201 (P = 5.3 × 10-10) at 13q34. In the GTEx gene expression library, rs2758605 (1q22), rs72932727 (2q33) and rs9515201 (13q34) are significant cis-eQTLs for PMF1 (P = 1 × 10-4 in tibial nerve), NBEAL1, FAM117B and CARF (P < 2.1 × 10-7 in arteries) and COL4A2 and COL4A1 (P < 0.01 in brain putamen), respectively. Leveraging S-PrediXcan for gene-based association testing with the predicted expression models in tissues related with nerve, artery, and non-lobar brain, we found that experiment-wide significant (P < 8.5 × 10-7) associations at three genes at 2q33 including NBEAL1, FAM117B and WDR12 and genome-wide significant associations at two genes including ICA1L at 2q33 and ZCCHC14 at 16q24. Brain cell-type specific expression profiling libraries reveal that SEMA4A, SLC25A44 and PMF1 at 1q22 and COL4A1 and COL4A2 at 13q34 were mainly expressed in endothelial cells, while the genes at 2q33 (FAM117B, CARF and NBEAL1) were expressed in various cell types including astrocytes, oligodendrocytes and neurons. Our cross-phenotype genetic study of intracerebral haemorrhage and SVS demonstrates novel genome-wide associations for non-lobar intracerebral haemorrhage at 2q33 and 13q34. Our replication of the 1q22 locus previous seen in traditional GWAS of intracerebral haemorrhage, as well as the rediscovery of 13q34, which had previously been reported in candidate gene studies with other cerebral small vessel disease-related traits strengthens the credibility of applying this novel genome-wide approach across intracerebral haemorrhage and SVS.
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Affiliation(s)
- Jaeyoon Chung
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Sandro Marini
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Joanna Pera
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Bo Norrving
- Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden.,Department of Neurology and Rehabilitation Medicine, Skåne University Hospital, Lund, Sweden
| | - Jordi Jimenez-Conde
- Department of Neurology, Neurovascular Research Unit, Institut Hospital del Mar d'Investigacions Mèdiques, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Jaume Roquer
- Department of Neurology, Neurovascular Research Unit, Institut Hospital del Mar d'Investigacions Mèdiques, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Israel Fernandez-Cadenas
- Neurovascular Research Laboratory and Neurovascular Unit, Institut de Recerca, Hospital Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain.,Stroke Pharmacogenomics and Genetics, Sant Pau Institute of Research, Hospital de la Santa Creu I Sant Pau, Barcelona, Spain
| | - David L Tirschwell
- Stroke Center, Harborview Medical Center, University of Washington, Seattle, WA, USA
| | - Magdy Selim
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Devin L Brown
- Stroke Program, Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Scott L Silliman
- Department of Neurology, University of Florida College of Medicine, Jacksonville, FL, USA
| | - Bradford B Worrall
- Department of Neurology and Public Health Sciences, University of Virginia Health System, Charlottesville, VA, USA
| | | | - Stacie Demel
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Steven M Greenberg
- The J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Agnieszka Slowik
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Arne Lindgren
- Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden.,Department of Neurology and Rehabilitation Medicine, Skåne University Hospital, Lund, Sweden
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Matthew Traylor
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | | | - Steffen Tiedt
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Rainer Malik
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Stéphanie Debette
- University of Bordeaux, INSERM U1219, Bordeaux Population Health Research Center, Bordeaux, France.,Department of Neurology, Memory Clinic, Bordeaux University Hospital, University of Bordeaux, Bordeaux, France
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
| | - Carl D Langefeld
- Center for Public Health Genomics and Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.,Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Christopher D Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.,Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
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15
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Cacabelos R. Pharmacogenomics of drugs used to treat brain disorders. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2020. [DOI: 10.1080/23808993.2020.1738217] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Ramon Cacabelos
- International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Corunna, Spain
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16
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Genetic risk of Spontaneous intracerebral hemorrhage: Systematic review and future directions. J Neurol Sci 2019; 407:116526. [PMID: 31669726 DOI: 10.1016/j.jns.2019.116526] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 09/18/2019] [Accepted: 10/07/2019] [Indexed: 12/22/2022]
Abstract
BACKGROUND Although highly heritable, few genes have been linked to spontaneous intracerebral hemorrhage (SICH), which does not currently have any evidence-based disease-modifying therapy. Individuals of African ancestry are especially susceptible to SICH, even more so for indigenous Africans. We systematically reviewed the genetic variants associated with SICH and examined opportunities for rapidly advancing SICH genomic research for precision medicine. METHOD We searched the National Human Genome Research Institute-European Bioinformatics Institute (NHGRI-EBI) Genome Wide Association Study (GWAS) catalog and PubMed for original research articles on genetic variants associated with SICH as of 15 June 2019 using the PRISMA guideline. RESULTS Eight hundred and sixty-four articles were identified using pre-specified search criteria, of which 64 met the study inclusion criteria. Among eligible articles, only 9 utilized GWAS approach while the rest were candidate gene studies. Thirty-eight genetic loci were found to be variously associated with the risk of SICH, hematoma volume, functional outcome and mortality, out of which 8 were from GWAS including APOE, CR1, KCNK17, 1q22, CETP, STYK1, COL4A2 and 17p12. None of the studies included indigenous Africans. CONCLUSION Given this limited information on the genetic contributors to SICH, more genomic studies are needed to provide additional insights into the pathophysiology of SICH, and develop targeted preventive and therapeutic strategies. This call for additional investigation of the pathogenesis of SICH is likely to yield more discoveries in the unexplored indigenous African populations which also have a greater predilection.
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17
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Millwood IY, Bennett DA, Holmes MV, Boxall R, Guo Y, Bian Z, Yang L, Sansome S, Chen Y, Du H, Yu C, Hacker A, Reilly DF, Tan Y, Hill MR, Chen J, Peto R, Shen H, Collins R, Clarke R, Li L, Walters RG, Chen Z. Association of CETP Gene Variants With Risk for Vascular and Nonvascular Diseases Among Chinese Adults. JAMA Cardiol 2019; 3:34-43. [PMID: 29141072 PMCID: PMC5833522 DOI: 10.1001/jamacardio.2017.4177] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Question What is the association of genetic variants in the CETP gene that
lower cholesteryl ester transfer protein activity with risk for cardiovascular and other
diseases? Findings In this biobank study of 151 217 Chinese adults, CETP gene
variants were associated with higher levels of high-density lipoprotein cholesterol but
not with lower levels of low-density lipoprotein cholesterol and were not associated
with risk for cardiovascular disease. Meaning Increasing levels of high-density lipoprotein cholesterol by cholesteryl ester transfer
protein inhibition in the absence of lower levels of low-density lipoprotein cholesterol
may not confer significant benefits for cardiovascular disease. Importance Increasing levels of high-density lipoprotein (HDL) cholesterol through pharmacologic
inhibition of cholesteryl ester transfer protein (CETP) is a potentially important
strategy for prevention and treatment of cardiovascular disease (CVD). Objective To use genetic variants in the CETP gene to assess potential risks and
benefits of lifelong lower CETP activity on CVD and other outcomes. Design, Setting, and Participants This prospective biobank study included 151 217 individuals aged 30 to 79 years
who were enrolled from 5 urban and 5 rural areas of China from June 25, 2004, through
July 15, 2008. All participants had baseline genotype data, 17 854 of whom had
lipid measurements and 4657 of whom had lipoprotein particle measurements. Median
follow-up of 9.2 years (interquartile range, 8.2-10.1 years) was completed January 1,
2016, through linkage to health insurance records and death and disease registries. Exposures Five CETP variants, including an East Asian loss-of-function variant
(rs2303790), combined in a genetic score weighted to associations with HDL
cholesterol levels. Main Outcomes and Measures Baseline levels of lipids and lipoprotein particles, cardiovascular risk factors,
incidence of carotid plaque and predefined major vascular and nonvascular diseases, and
a phenome-wide range of diseases. Results Among the 151 217 individuals included in this study (58.4% women and 41.6% men),
the mean (SD) age was 52.3 (10.9) years. Overall, the mean (SD) low-density lipoprotein
(LDL) cholesterol level was 91 (27) mg/dL; HDL cholesterol level, 48 (12) mg/dL.
CETP variants were strongly associated with higher concentrations of
HDL cholesterol (eg, 6.1 [SE, 0.4] mg/dL per rs2303790-G
allele; P = 9.4 × 10−47)
but were not associated with lower LDL cholesterol levels. Within HDL particles,
cholesterol esters were increased and triglycerides reduced, whereas within very
low-density lipoprotein particles, cholesterol esters were reduced and triglycerides
increased. When scaled to 10-mg/dL higher levels of HDL cholesterol, the
CETP genetic score was not associated with occlusive CVD
(18 550 events; odds ratio [OR], 0.98; 95% CI, 0.91-1.06), major coronary events
(5767 events; OR, 1.08; 95% CI, 0.95-1.22), myocardial infarction (3118 events; OR,
1.14; 95% CI, 0.97-1.35), ischemic stroke (13 759 events; OR, 0.94; 95% CI,
0.86-1.02), intracerebral hemorrhage (6532 events; OR, 0.94; 95% CI, 0.83-1.06), or
other vascular diseases or carotid plaque. Similarly, rs2303790 was not
associated with any vascular diseases or plaque. No associations with nonvascular
diseases were found other than an increased risk for eye diseases with rs2303790 (4090 events; OR, 1.43; 95% CI, 1.13-1.80;
P = .003). Conclusions and Relevance CETP variants were associated with altered HDL metabolism but did not
lower LDL cholesterol levels and had no significant association with risk for CVD. These
results suggest that in the absence of reduced LDL cholesterol levels, increasing HDL
cholesterol levels by inhibition of CETP may not confer significant benefits for
CVD.
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Affiliation(s)
- Iona Y Millwood
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England.,Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
| | - Derrick A Bennett
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
| | - Michael V Holmes
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England.,Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England.,National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospital, Oxford, England
| | - Ruth Boxall
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England.,Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
| | - Yu Guo
- Chinese Academy of Medical Sciences, Dong Cheng District, Beijing, China
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Dong Cheng District, Beijing, China
| | - Ling Yang
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England.,Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
| | - Sam Sansome
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
| | - Yiping Chen
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England.,Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
| | - Huaidong Du
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England.,Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
| | - Canqing Yu
- Chinese Academy of Medical Sciences, Dong Cheng District, Beijing, China
| | - Alex Hacker
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
| | | | - Yunlong Tan
- Chinese Academy of Medical Sciences, Dong Cheng District, Beijing, China
| | - Michael R Hill
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
| | - Junshi Chen
- Chinese Academy of Medical Sciences, Dong Cheng District, Beijing, China
| | - Richard Peto
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Nanjing Medical University School of Public Health, Nanjing, China
| | - Rory Collins
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
| | - Liming Li
- Department of Epidemiology and Biostatistics, Peking University Health Science Centre, Peking University, Beijing, China
| | - Robin G Walters
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England
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18
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Marini S, Crawford K, Morotti A, Lee MJ, Pezzini A, Moomaw CJ, Flaherty ML, Montaner J, Roquer J, Jimenez-Conde J, Giralt-Steinhauer E, Elosua R, Cuadrado-Godia E, Soriano-Tarraga C, Slowik A, Jagiella JM, Pera J, Urbanik A, Pichler A, Hansen BM, McCauley JL, Tirschwell DL, Selim M, Brown DL, Silliman SL, Worrall BB, Meschia JF, Kidwell CS, Testai FD, Kittner SJ, Schmidt H, Enzinger C, Deary IJ, Rannikmae K, Samarasekera N, Salman RAS, Sudlow CL, Klijn CJM, van Nieuwenhuizen KM, Fernandez-Cadenas I, Delgado P, Norrving B, Lindgren A, Goldstein JN, Viswanathan A, Greenberg SM, Falcone GJ, Biffi A, Langefeld CD, Woo D, Rosand J, Anderson CD. Association of Apolipoprotein E With Intracerebral Hemorrhage Risk by Race/Ethnicity: A Meta-analysis. JAMA Neurol 2019; 76:480-491. [PMID: 30726504 PMCID: PMC6459133 DOI: 10.1001/jamaneurol.2018.4519] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 11/09/2018] [Indexed: 12/18/2022]
Abstract
Importance Genetic studies of intracerebral hemorrhage (ICH) have focused mainly on white participants, but genetic risk may vary or could be concealed by differing nongenetic coexposures in nonwhite populations. Transethnic analysis of risk may clarify the role of genetics in ICH risk across populations. Objective To evaluate associations between established differences in ICH risk by race/ethnicity and the variability in the risks of apolipoprotein E (APOE) ε4 alleles, the most potent genetic risk factor for ICH. Design, Setting, and Participants This case-control study of primary ICH meta-analyzed the association of APOE allele status on ICH risk, applying a 2-stage clustering approach based on race/ethnicity and stratified by a contributing study. A propensity score analysis was used to model the association of APOE with the burden of hypertension across race/ethnic groups. Primary ICH cases and controls were collected from 3 hospital- and population-based studies in the United States and 8 in European sites in the International Stroke Genetic Consortium. Participants were enrolled from January 1, 1999, to December 31, 2017. Participants with secondary causes of ICH were excluded from enrollment. Controls were regionally matched within each participating study. Main Outcomes and Measures Clinical variables were systematically obtained from structured interviews within each site. APOE genotype was centrally determined for all studies. Results In total, 13 124 participants (7153 [54.5%] male with a median [interquartile range] age of 66 [56-76] years) were included. In white participants, APOE ε2 (odds ratio [OR], 1.49; 95% CI, 1.24-1.80; P < .001) and APOE ε4 (OR, 1.51; 95% CI, 1.23-1.85; P < .001) were associated with lobar ICH risk; however, within self-identified Hispanic and black participants, no associations were found. After propensity score matching for hypertension burden, APOE ε4 was associated with lobar ICH risk among Hispanic (OR, 1.14; 95% CI, 1.03-1.28; P = .01) but not in black (OR, 1.02; 95% CI, 0.98-1.07; P = .25) participants. APOE ε2 and ε4 did not show an association with nonlobar ICH risk in any race/ethnicity. Conclusions and Relevance APOE ε4 and ε2 alleles appear to affect lobar ICH risk variably by race/ethnicity, associations that are confirmed in white individuals but can be shown in Hispanic individuals only when the excess burden of hypertension is propensity score-matched; further studies are needed to explore the interactions between APOE alleles and environmental exposures that vary by race/ethnicity in representative populations at risk for ICH.
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Affiliation(s)
- Sandro Marini
- Center for Genomic Medicine, Massachusetts General Hospital, Boston
| | | | | | - Myung J. Lee
- Department of Neurology, Massachusetts General Hospital, Boston
| | - Alessandro Pezzini
- Department of Clinical and Experimental Sciences, Neurology Clinic, University of Brescia, Brescia, Italy
| | - Charles J. Moomaw
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Matthew L. Flaherty
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Joan Montaner
- Neurovascular Research Laboratory and Neurovascular Unit, Institut de Recerca, Hospital Vall d’Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain
- Institute de Biomedicine of Seville, IBiS/Hospital Universitario Virgen del Rocío/CSIC/University of Seville, Seville, Spain
- Department of Neurology, Hospital Universitario Virgen Macarena, Seville, Spain
| | - Jaume Roquer
- Department of Neurology, Neurovascular Research Unit, Institut Hospital del Mar d’Investigacions Mèdiques, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Jordi Jimenez-Conde
- Department of Neurology, Neurovascular Research Unit, Institut Hospital del Mar d’Investigacions Mèdiques, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Eva Giralt-Steinhauer
- Department of Neurology, Neurovascular Research Unit, Institut Hospital del Mar d’Investigacions Mèdiques, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Roberto Elosua
- Department of Neurology, Neurovascular Research Unit, Institut Hospital del Mar d’Investigacions Mèdiques, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Elisa Cuadrado-Godia
- Department of Neurology, Neurovascular Research Unit, Institut Hospital del Mar d’Investigacions Mèdiques, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Carolina Soriano-Tarraga
- Department of Neurology, Neurovascular Research Unit, Institut Hospital del Mar d’Investigacions Mèdiques, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Agnieszka Slowik
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | | | - Joanna Pera
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Andrzej Urbanik
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Alexander Pichler
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Björn M. Hansen
- Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden
- Department of Neurology and Rehabilitation Medicine, Skåne University Hospital, Lund, Sweden
| | - Jacob L. McCauley
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami
| | | | - Magdy Selim
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Devin L. Brown
- Cardiovascular Center, University of Michigan, Ann Arbor
| | - Scott L. Silliman
- Department of Neurology, University of Florida College of Medicine, Jacksonville
| | - Bradford B. Worrall
- Department of Neurology and Public Health Sciences, University of Virginia Health System, Charlottesville
| | | | | | - Fernando D. Testai
- Department of Neurology and Rehabilitation, University of Illinois College of Medicine, Chicago
| | - Steven J. Kittner
- Department of Neurology, Baltimore Veterans Administration Medical Center and University of Maryland School of Medicine, Baltimore
| | - Helena Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
| | - Kristiina Rannikmae
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Neshika Samarasekera
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Catherine L. Sudlow
- Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Catharina J. M. Klijn
- Department of Neurology, Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Koen M. van Nieuwenhuizen
- Department of Neurology, Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Israel Fernandez-Cadenas
- Neurovascular Research Laboratory and Neurovascular Unit, Institut de Recerca, Hospital Vall d’Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain
- Stroke Pharmacogenomics and Genetics, Sant Pau Institute of Research, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Pilar Delgado
- Neurovascular Research Laboratory and Neurovascular Unit, Institut de Recerca, Hospital Vall d’Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Bo Norrving
- Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden
- Department of Neurology and Rehabilitation Medicine, Skåne University Hospital, Lund, Sweden
| | - Arne Lindgren
- Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden
- Department of Neurology and Rehabilitation Medicine, Skåne University Hospital, Lund, Sweden
| | | | | | | | - Guido J. Falcone
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale University School of Medicine, New Haven, Connecticut
- Center for Neuroepidemiology and Clinical Neurological Research, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Alessandro Biffi
- Division of Behavioral Neurology, Massachusetts General Hospital, Boston
| | - Carl D. Langefeld
- Center for Public Health Genomics and Department of Biostatistical Sciences, Wake Forest University, Winston-Salem, North Carolina
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston
- Department of Neurology, Massachusetts General Hospital, Boston
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Christopher D. Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston
- Department of Neurology, Massachusetts General Hospital, Boston
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
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19
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Cholesteryl ester transfer protein: An enigmatic pharmacology – Antagonists and agonists. Atherosclerosis 2018; 278:286-298. [DOI: 10.1016/j.atherosclerosis.2018.09.035] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 09/04/2018] [Accepted: 09/25/2018] [Indexed: 12/31/2022]
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20
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Young EP, Stitziel NO. Capitalizing on Insights from Human Genetics to Identify Novel Therapeutic Targets for Coronary Artery Disease. Annu Rev Med 2018; 70:19-32. [PMID: 30355262 DOI: 10.1146/annurev-med-041717-085853] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Coronary artery disease (CAD) is a major cause of morbidity and mortality. Unfortunately, despite decades of research focused on disease pathogenesis, we still lack a sufficient pharmacopeia for preventing CAD. The failure of many novel cardiovascular drugs to improve clinical outcomes reflects the major substantial challenge of drug development: identifying causal mechanisms that can be therapeutically manipulated to lower disease risk. Identifying genetic variants that are associated with risk of CAD has emerged as a clear path toward improving our understanding of the underlying mechanisms that lead to disease and to the development of new therapies. Here, we review the potential utility and limitations of using human genetics to guide the identification of therapeutic targets for CAD.
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Affiliation(s)
- Erica P Young
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri 63110, USA;
| | - Nathan O Stitziel
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri 63110, USA; .,Department of Genetics, Washington University School of Medicine, Saint Louis, Missouri 63110, USA.,McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri 63108, USA;
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21
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Peloso GM, van der Lee SJ, Destefano AL, Seshardi S. Genetically elevated high-density lipoprotein cholesterol through the cholesteryl ester transfer protein gene does not associate with risk of Alzheimer's disease. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2018; 10:595-598. [PMID: 30422133 PMCID: PMC6215982 DOI: 10.1016/j.dadm.2018.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Introduction There is conflicting evidence whether high-density lipoprotein cholesterol (HDL-C) is a risk factor for Alzheimer's disease (AD) and dementia. Genetic variation in the cholesteryl ester transfer protein (CETP) locus is associated with altered HDL-C. We aimed to assess AD risk by genetically predicted HDL-C. Methods Ten single nucleotide polymorphisms within the CETP locus predicting HDL-C were applied to the International Genomics of Alzheimer's Project (IGAP) exome chip stage 1 results in up 16,097 late onset AD cases and 18,077 cognitively normal elderly controls. We performed instrumental variables analysis using inverse variance weighting, weighted median, and MR-Egger. Results Based on 10 single nucleotide polymorphisms distinctly predicting HDL-C in the CETP locus, we found that HDL-C was not associated with risk of AD (P > .7). Discussion Our study does not support the role of HDL-C on risk of AD through HDL-C altered by CETP. This study does not rule out other mechanisms by which HDL-C affects risk of AD. CETP SNPs were not associated with AD in a large sample of AD cases/controls. Genetically predicted HDL-C through CETP does not associate with AD.
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Affiliation(s)
- Gina M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Sven J van der Lee
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | | | - Anita L Destefano
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.,NHLBI's Framingham Heart Study, Framingham, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Sudha Seshardi
- NHLBI's Framingham Heart Study, Framingham, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
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22
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Falcone GJ, Gurol ME. Cholesterol levels, statins, and spontaneous intracerebral hemorrhage. Neurology 2018; 91:197-198. [DOI: 10.1212/wnl.0000000000005898] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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23
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Marini S, Devan WJ, Radmanesh F, Miyares L, Poterba T, Hansen BM, Norrving B, Jimenez-Conde J, Giralt-Steinhauer E, Elosua R, Cuadrado-Godia E, Soriano C, Roquer J, Kourkoulis CE, Ayres AM, Schwab K, Tirschwell DL, Selim M, Brown DL, Silliman SL, Worrall BB, Meschia JF, Kidwell CS, Montaner J, Fernandez-Cadenas I, Delgado P, Greenberg SM, Lindgren A, Matouk C, Sheth KN, Woo D, Anderson CD, Rosand J, Falcone GJ. 17p12 Influences Hematoma Volume and Outcome in Spontaneous Intracerebral Hemorrhage. Stroke 2018; 49:1618-1625. [PMID: 29915124 PMCID: PMC6085089 DOI: 10.1161/strokeaha.117.020091] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Revised: 04/13/2018] [Accepted: 05/15/2018] [Indexed: 01/15/2023]
Abstract
BACKGROUND AND PURPOSE Hematoma volume is an important determinant of clinical outcome in spontaneous intracerebral hemorrhage (ICH). We performed a genome-wide association study (GWAS) of hematoma volume with the aim of identifying novel biological pathways involved in the pathophysiology of primary brain injury in ICH. METHODS We conducted a 2-stage (discovery and replication) case-only genome-wide association study in patients with ICH of European ancestry. We utilized the admission head computed tomography to calculate hematoma volume via semiautomated computer-assisted technique. After quality control and imputation, 7 million genetic variants were available for association testing with ICH volume, which was performed separately in lobar and nonlobar ICH cases using linear regression. Signals with P<5×10-8 were pursued in replication and tested for association with admission Glasgow coma scale and 3-month post-ICH dichotomized (0-2 versus 3-6) modified Rankin Scale using ordinal and logistic regression, respectively. RESULTS The discovery phase included 394 ICH cases (228 lobar and 166 nonlobar) and identified 2 susceptibility loci: a genomic region on 22q13 encompassing PARVB (top single-nucleotide polymorphism rs9614326: β, 1.84; SE, 0.32; P=4.4×10-8) for lobar ICH volume and an intergenic region overlying numerous copy number variants on 17p12 (top single-nucleotide polymorphism rs11655160: β, 0.95; SE, 0.17; P=4.3×10-8) for nonlobar ICH volume. The replication included 240 ICH cases (71 lobar and 169 nonlobar) and corroborated the association for 17p12 (P=0.04; meta-analysis P=2.5×10-9; heterogeneity, P=0.16) but not for 22q13 (P=0.49). In multivariable analysis, rs11655160 was also associated with lower admission Glasgow coma scale (odds ratio, 0.17; P=0.004) and increased risk of poor 3-month modified Rankin Scale (odds ratio, 1.94; P=0.045). CONCLUSIONS We identified 17p12 as a novel susceptibility risk locus for hematoma volume, clinical severity, and functional outcome in nonlobar ICH. Replication in other ethnicities and follow-up translational studies are needed to elucidate the mechanism mediating the observed association.
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Affiliation(s)
- Sandro Marini
- From the Center for Genomic Medicine (S.M., W.J.D., F.R., C.E.K., C.D.A., J.R.)
| | - William J Devan
- From the Center for Genomic Medicine (S.M., W.J.D., F.R., C.E.K., C.D.A., J.R.)
| | - Farid Radmanesh
- From the Center for Genomic Medicine (S.M., W.J.D., F.R., C.E.K., C.D.A., J.R.)
| | - Laura Miyares
- Massachusetts General Hospital, Boston; Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale University School of Medicine, New Haven, CT (L.M., C.M., K.N.S., G.J.F.)
| | | | - Björn M Hansen
- Department of Neurology and Rehabilitation, Skåne University Hospital, Lund, Sweden (B.M.H., B.N., A.L.)
- Department of Clinical Sciences Lund, Neurology, Lund University, Sweden (B.M.H., B.N., A.L.)
- Department of Neurology and Rehabilitation Medicine, Skåne University Hospital, Lund, Sweden (B.M.H., B.N., A.L.)
| | - Bo Norrving
- Department of Neurology and Rehabilitation, Skåne University Hospital, Lund, Sweden (B.M.H., B.N., A.L.)
- Department of Clinical Sciences Lund, Neurology, Lund University, Sweden (B.M.H., B.N., A.L.)
- Department of Neurology and Rehabilitation Medicine, Skåne University Hospital, Lund, Sweden (B.M.H., B.N., A.L.)
| | - Jordi Jimenez-Conde
- Department of Neurology, Hospital del Mar Medical Research Institute (IMIM) (J.J.-C., E.G.-S., R.E., E.C.-G., C.S., J.R.)
| | - Eva Giralt-Steinhauer
- Department of Neurology, Hospital del Mar Medical Research Institute (IMIM) (J.J.-C., E.G.-S., R.E., E.C.-G., C.S., J.R.)
| | - Roberto Elosua
- Department of Neurology, Hospital del Mar Medical Research Institute (IMIM) (J.J.-C., E.G.-S., R.E., E.C.-G., C.S., J.R.)
| | - Elisa Cuadrado-Godia
- Department of Neurology, Hospital del Mar Medical Research Institute (IMIM) (J.J.-C., E.G.-S., R.E., E.C.-G., C.S., J.R.)
| | - Carolina Soriano
- Department of Neurology, Hospital del Mar Medical Research Institute (IMIM) (J.J.-C., E.G.-S., R.E., E.C.-G., C.S., J.R.)
| | - Jaume Roquer
- Department of Neurology, Hospital del Mar Medical Research Institute (IMIM) (J.J.-C., E.G.-S., R.E., E.C.-G., C.S., J.R.)
| | | | - Alison M Ayres
- Universitat Autónoma de Barcelona, Spain; Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA (A.M.A., K.S., S.M.G.)
| | - Kristin Schwab
- Universitat Autónoma de Barcelona, Spain; Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA (A.M.A., K.S., S.M.G.)
| | - David L Tirschwell
- Stroke Center, Harborview Medical Center, University of Washington, Seattle (D.L.T.)
| | - Magdy Selim
- Stroke Division, Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA (M.S.)
| | - Devin L Brown
- Stroke Program, Department of Neurology, University of Michigan, Ann Arbor (D.L.B.)
| | - Scott L Silliman
- Department of Neurology, University of Florida College of Medicine, Jacksonville (S.L.S.)
| | - Bradford B Worrall
- Department of Neurology and Public Health Sciences, University of Virginia Health System, Charlottesville (B.B.W.)
| | - James F Meschia
- Department of Neurology, Mayo Clinic, Jacksonville, FL (J.F.M.)
| | | | - Joan Montaner
- Neurovascular Research Laboratory and Neurovascular Unit, Institut de Recerca, Hospital Vall d'Hebron (J.M., I.F.-C., P.D.)
| | - Israel Fernandez-Cadenas
- Neurovascular Research Laboratory and Neurovascular Unit, Institut de Recerca, Hospital Vall d'Hebron (J.M., I.F.-C., P.D.)
- Stroke Pharmacogenomics and Genetics Sant Pau Institute of Research, Barcelona, Spain (I.F.-C.)
| | - Pilar Delgado
- Neurovascular Research Laboratory and Neurovascular Unit, Institut de Recerca, Hospital Vall d'Hebron (J.M., I.F.-C., P.D.)
| | - Steven M Greenberg
- Universitat Autónoma de Barcelona, Spain; Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA (A.M.A., K.S., S.M.G.)
| | - Arne Lindgren
- Department of Neurology and Rehabilitation, Skåne University Hospital, Lund, Sweden (B.M.H., B.N., A.L.)
- Department of Clinical Sciences Lund, Neurology, Lund University, Sweden (B.M.H., B.N., A.L.)
- Department of Neurology and Rehabilitation Medicine, Skåne University Hospital, Lund, Sweden (B.M.H., B.N., A.L.)
| | - Charles Matouk
- Massachusetts General Hospital, Boston; Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale University School of Medicine, New Haven, CT (L.M., C.M., K.N.S., G.J.F.)
| | - Kevin N Sheth
- Massachusetts General Hospital, Boston; Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale University School of Medicine, New Haven, CT (L.M., C.M., K.N.S., G.J.F.)
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, OH (D.W.)
| | - Christopher D Anderson
- From the Center for Genomic Medicine (S.M., W.J.D., F.R., C.E.K., C.D.A., J.R.)
- Division of Neurocritical Care and Emergency Neurology, Massachusetts General Hospital, Boston (C.D.A., J.R.)
- Program in Medical and Population Genetics, Broad Institute, Boston (C.D.A., J.R)
| | - Jonathan Rosand
- From the Center for Genomic Medicine (S.M., W.J.D., F.R., C.E.K., C.D.A., J.R.)
- Division of Neurocritical Care and Emergency Neurology, Massachusetts General Hospital, Boston (C.D.A., J.R.)
- Program in Medical and Population Genetics, Broad Institute, Boston (C.D.A., J.R)
| | - Guido J Falcone
- Massachusetts General Hospital, Boston; Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale University School of Medicine, New Haven, CT (L.M., C.M., K.N.S., G.J.F.)
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24
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Bernhardt J, Zorowitz RD, Becker KJ, Keller E, Saposnik G, Strbian D, Dichgans M, Woo D, Reeves M, Thrift A, Kidwell CS, Olivot JM, Goyal M, Pierot L, Bennett DA, Howard G, Ford GA, Goldstein LB, Planas AM, Yenari MA, Greenberg SM, Pantoni L, Amin-Hanjani S, Tymianski M. Advances in Stroke 2017. Stroke 2018; 49:e174-e199. [DOI: 10.1161/strokeaha.118.021380] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Revised: 03/02/2018] [Accepted: 03/12/2018] [Indexed: 12/11/2022]
Affiliation(s)
- Julie Bernhardt
- From the Florey Institute of Neuroscience and Mental Health, University of Melbourne, Australia (J.B.)
| | - Richard D. Zorowitz
- MedStar National Rehabilitation Network and Department of Rehabilitation Medicine, Georgetown University School of Medicine, Washington, DC (R.D.Z.)
| | - Kyra J. Becker
- Department of Neurology, University of Washington, Seattle (K.J.B.)
| | - Emanuela Keller
- Division of Internal Medicine, University Hospital of Zurich, Switzerland (E.K.)
| | | | - Daniel Strbian
- Department of Neurology, Helsinki University Central Hospital, Finland (D.S.)
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (M.D.)
- Munich Cluster for Systems Neurology (SyNergy), Germany (M.D.)
| | - Daniel Woo
- Department of Neurology, University of Cincinnati College of Medicine, OH (D.W.)
| | - Mathew Reeves
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing (M.R.)
| | - Amanda Thrift
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia (A.T.)
| | - Chelsea S. Kidwell
- Departments of Neurology and Medical Imaging, University of Arizona, Tucson (C.S.K.)
| | - Jean Marc Olivot
- Acute Stroke Unit, Toulouse Neuroimaging Center and Clinical Investigation Center, Toulouse University Hospital, France (J.M.O.)
| | - Mayank Goyal
- Department of Diagnostic and Interventional Neuroradiology, University of Calgary, AB, Canada (M.G.)
| | - Laurent Pierot
- Department of Neuroradiology, Hôpital Maison Blanche, CHU Reims, Reims Champagne-Ardenne University, France (L.P.)
| | - Derrick A. Bennett
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - George Howard
- Department of Biostatistics, Ryals School of Public Health, University of Alabama at Birmingham (G.H.)
| | - Gary A. Ford
- Oxford Academic Health Science Network, United Kingdom (G.A.F.)
| | | | - Anna M. Planas
- Department of Brain Ischemia and Neurodegeneration, Institute for Biomedical Research of Barcelona (IIBB), Consejo Superior de Investigaciones CIentíficas (CSIC), Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain (A.M.P.)
| | - Midori A. Yenari
- Department of Neurology, University of California, San Francisco (M.A.Y.)
- San Francisco Veterans Affairs Medical Center, CA (M.A.Y.)
| | - Steven M. Greenberg
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston (S.M.G.)
| | - Leonardo Pantoni
- ‘L. Sacco’ Department of Biomedical and Clinical Sciences, University of Milan, Italy (L.P.)
| | | | - Michael Tymianski
- Departments of Surgery and Physiology, University of Toronto, ON, Canada (M.T.)
- Department of Surgery, University Health Network (Neurosurgery), Toronto, ON, Canada (M.T.)
- Krembil Research Institute, Toronto Western Hospital, ON, Canada (M.T.)
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25
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Falcone GJ, Woo D. Genetics of Spontaneous Intracerebral Hemorrhage. Stroke 2017; 48:3420-3424. [PMID: 29114093 PMCID: PMC5777521 DOI: 10.1161/strokeaha.117.017072] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 09/22/2017] [Accepted: 09/28/2017] [Indexed: 12/23/2022]
Affiliation(s)
- Guido J Falcone
- From the Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT (G.J.F.); and Department of Neurology and Rehabilitation Medicine (D.W.) and Comprehensive Stroke Center (D.W.), University of Cincinnati, OH.
| | - Daniel Woo
- From the Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT (G.J.F.); and Department of Neurology and Rehabilitation Medicine (D.W.) and Comprehensive Stroke Center (D.W.), University of Cincinnati, OH.
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26
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Abstract
The development of CETP (cholesteryl ester transfer protein) inhibitors has had a long and difficult course with 3 compounds failing in phase III clinical trials. Finally, the REVEAL (Randomized Evaluation of the Effects of Anacetrapib through Lipid modification) trial has shown that the CETP inhibitor anacetrapib decreased coronary heart disease when added to statin therapy. Although the result is different to earlier studies, this is likely related to the size and duration of the trial. The benefit of anacetrapib seems to be largely explained by lowering of non-HDL-C (high-density lipoprotein cholesterol), rather than increases in HDL-C. Although the magnitude of benefit for coronary heart disease appeared to be moderate, in part this may have reflected aspects of the trial design. Anacetrapib treatment was associated with a small increase in blood pressure, but was devoid of major side effects and was also associated with a small reduction in diabetes mellitus. Treatment with CETP inhibitors, either alone or in combination with statins, could provide another option for patients with coronary disease who require further reduction in LDL (low-density lipoprotein) and non-HDL-C.
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Affiliation(s)
- Alan R Tall
- From the Division of Molecular Medicine, Department of Medicine, Columbia University, New York (A.R.T.); and Departments of Genetics and Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (D.J.R.)
| | - Daniel J Rader
- From the Division of Molecular Medicine, Department of Medicine, Columbia University, New York (A.R.T.); and Departments of Genetics and Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (D.J.R.)
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27
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Phuah CL, Dave T, Malik R, Raffeld MR, Ayres AM, Goldstein JN, Viswanathan A, Greenberg SM, Jagiella JM, Hansen BM, Norrving B, Jimenez-Conde J, Roquer J, Pichler A, Enzinger C, Montaner J, Fernandez-Cadenas I, Lindgren A, Slowik A, Schmidt R, Biffi A, Rost N, Langefeld CD, Markus HS, Mitchell BD, Worrall BB, Kittner SJ, Woo D, Dichgans M, Rosand J, Anderson CD. Genetic variants influencing elevated myeloperoxidase levels increase risk of stroke. Brain 2017; 140:2663-2672. [PMID: 28969386 DOI: 10.1093/brain/awx220] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Accepted: 07/08/2017] [Indexed: 12/13/2022] Open
Abstract
Primary intracerebral haemorrhage and lacunar ischaemic stroke are acute manifestations of progressive cerebral microvascular disease. Current paradigms suggest atherosclerosis is a chronic, dynamic, inflammatory condition precipitated in response to endothelial injury from various environmental challenges. Myeloperoxidase plays a central role in initiation and progression of vascular inflammation, but prior studies linking myeloperoxidase with stroke risk have been inconclusive. We hypothesized that genetic determinants of myeloperoxidase levels influence the development of vascular instability, leading to increased primary intracerebral haemorrhage and lacunar stroke risk. We used a discovery cohort of 1409 primary intracerebral haemorrhage cases and 1624 controls from three studies, an extension cohort of 12 577 ischaemic stroke cases and 25 643 controls from NINDS-SiGN, and a validation cohort of 10 307 ischaemic stroke cases and 29 326 controls from METASTROKE Consortium with genome-wide genotyping to test this hypothesis. A genetic risk score reflecting elevated myeloperoxidase levels was constructed from 15 common single nucleotide polymorphisms identified from prior genome-wide studies of circulating myeloperoxidase levels (P < 5 × 10-6). This genetic risk score was used as the independent variable in multivariable regression models for association with primary intracerebral haemorrhage and ischaemic stroke subtypes. We used fixed effects meta-analyses to pool estimates across studies. We also used Cox regression models in a prospective cohort of 174 primary intracerebral haemorrhage survivors for association with intracerebral haemorrhage recurrence. We present effects of myeloperoxidase elevating single nucleotide polymorphisms on stroke risk per risk allele, corresponding to a one allele increase in the myeloperoxidase increasing genetic risk score. Genetic determinants of elevated circulating myeloperoxidase levels were associated with both primary intracerebral haemorrhage risk (odds ratio, 1.07, P = 0.04) and recurrent intracerebral haemorrhage risk (hazards ratio, 1.45, P = 0.006). In analysis of ischaemic stroke subtypes, the myeloperoxidase increasing genetic risk score was strongly associated with lacunar subtype only (odds ratio, 1.05, P = 0.0012). These results, demonstrating that common genetic variants that increase myeloperoxidase levels increase risk of primary intracerebral haemorrhage and lacunar stroke, directly implicate the myeloperoxidase pathway in the pathogenesis of cerebral small vessel disease. Because genetic variants are not influenced by environmental exposures, these results provide new support for a causal rather than bystander role for myeloperoxidase in the progression of cerebrovascular disease. Furthermore, these results support a rationale for chronic inflammation as a potential modifiable stroke risk mechanism, and suggest that immune-targeted therapies could be useful for treatment and prevention of cerebrovascular disease.
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Affiliation(s)
- Chia-Ling Phuah
- Center for Human Genetic Research, Massachusetts General Hospital (MGH), Boston, MA, USA.,Division of Neurocritical Care and Emergency Neurology, Department of Neurology, MGH, Boston, MA, USA
| | - Tushar Dave
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, USA
| | - Rainer Malik
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Miriam R Raffeld
- Center for Human Genetic Research, Massachusetts General Hospital (MGH), Boston, MA, USA
| | - Alison M Ayres
- Center for Human Genetic Research, Massachusetts General Hospital (MGH), Boston, MA, USA.,J. Philip Kistler Stroke Research Center, Department of Neurology, MGH, Boston, MA, USA
| | | | - Anand Viswanathan
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Steven M Greenberg
- J. Philip Kistler Stroke Research Center, Department of Neurology, MGH, Boston, MA, USA
| | - Jeremiasz M Jagiella
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Björn M Hansen
- Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden.,Department of Neurology and Rehabilitation Medicine, Neurology, Skåne University Hospital, Lund, Sweden
| | - Bo Norrving
- Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden.,Department of Neurology and Rehabilitation Medicine, Neurology, Skåne University Hospital, Lund, Sweden
| | - Jordi Jimenez-Conde
- Neurovascular Research Unit, Department of Neurology, Institut Municipal d'Investigacio´ Medica-Hospital del Mar, Universitat Autonoma de Barcelona, Barcelona, Spain.,Program in Inflammation and Cardiovascular Disorders, Institut Municipal d'Investigacio´ Medica-Hospital del Mar, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Jaume Roquer
- Neurovascular Research Unit, Department of Neurology, Institut Municipal d'Investigacio´ Medica-Hospital del Mar, Universitat Autonoma de Barcelona, Barcelona, Spain.,Program in Inflammation and Cardiovascular Disorders, Institut Municipal d'Investigacio´ Medica-Hospital del Mar, Universitat Autonoma de Barcelona, Barcelona, Spain
| | | | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Austria.,Division of Neuroradiology, Department of Radiology, Medical University of Graz, Austria
| | - Joan Montaner
- Neurovascular Research Laboratory and Neurovascular Unit, Institut de Recerca, Hospital Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Israel Fernandez-Cadenas
- Neurovascular Research Laboratory and Neurovascular Unit, Institut de Recerca, Hospital Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain.,Stroke Pharmacogenomics and Genetics, Fundació Docència i Recerca Mutua Terrassa, Mutua de Terrassa Hospital, Terrassa, Spain
| | - Arne Lindgren
- Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden.,Department of Neurology and Rehabilitation Medicine, Neurology, Skåne University Hospital, Lund, Sweden
| | - Agnieszka Slowik
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | | | - Alessandro Biffi
- Center for Human Genetic Research, Massachusetts General Hospital (MGH), Boston, MA, USA.,J. Philip Kistler Stroke Research Center, Department of Neurology, MGH, Boston, MA, USA.,Division of Behavioral Neurology, Department of Neurology, MGH, Boston, MA, USA.,Division of Neuropsychiatry, Department of Psychiatry, MGH, Boston, MA, USA
| | - Natalia Rost
- J. Philip Kistler Stroke Research Center, Department of Neurology, MGH, Boston, MA, USA
| | - Carl D Langefeld
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Hugh S Markus
- Department of Clinical Neurosciences, University of Cambridge, UK
| | - Braxton D Mitchell
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Brad B Worrall
- Department of Neurology, University of Virginia, Charlottesville, VA, USA.,Department of Public Health Science, University of Virginia, Charlottesville, VA, USA
| | - Steven J Kittner
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Neurology, Veterans Affairs Medical Center, Baltimore, MD, USA
| | - Daniel Woo
- University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE) and Munich Cluster for Systems Neurology (SyNergy), Germany
| | - Jonathan Rosand
- Center for Human Genetic Research, Massachusetts General Hospital (MGH), Boston, MA, USA.,Division of Neurocritical Care and Emergency Neurology, Department of Neurology, MGH, Boston, MA, USA.,J. Philip Kistler Stroke Research Center, Department of Neurology, MGH, Boston, MA, USA
| | - Christopher D Anderson
- Center for Human Genetic Research, Massachusetts General Hospital (MGH), Boston, MA, USA.,Division of Neurocritical Care and Emergency Neurology, Department of Neurology, MGH, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.,J. Philip Kistler Stroke Research Center, Department of Neurology, MGH, Boston, MA, USA
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28
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Owolabi M, Peprah E, Xu H, Akinyemi R, Tiwari HK, Irvin MR, Wahab KW, Arnett DK, Ovbiagele B. Advancing stroke genomic research in the age of Trans-Omics big data science: Emerging priorities and opportunities. J Neurol Sci 2017; 382:18-28. [PMID: 29111012 DOI: 10.1016/j.jns.2017.09.021] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 08/19/2017] [Accepted: 09/15/2017] [Indexed: 12/19/2022]
Abstract
BACKGROUND We systematically reviewed the genetic variants associated with stroke in genome-wide association studies (GWAS) and examined the emerging priorities and opportunities for rapidly advancing stroke research in the era of Trans-Omics science. METHODS Using the PRISMA guideline, we searched PubMed and NHGRI- EBI GWAS catalog for stroke studies from 2007 till May 2017. RESULTS We included 31 studies. The major challenge is that the few validated variants could not account for the full genetic risk of stroke and have not been translated for clinical use. None of the studies included continental Africans. Genomic study of stroke among Africans presents a unique opportunity for the discovery, validation, functional annotation, Trans-Omics study and translation of genomic determinants of stroke with implications for global populations. This is because all humans originated from Africa, a continent with a unique genomic architecture and a distinctive epidemiology of stroke; as well as substantially higher heritability and resolution of fine mapping of stroke genes. CONCLUSION Understanding the genomic determinants of stroke and the corresponding molecular mechanisms will revolutionize the development of a new set of precise biomarkers for stroke prediction, diagnosis and prognostic estimates as well as personalized interventions for reducing the global burden of stroke.
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Affiliation(s)
- Mayowa Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria; Department of Medicine, University of Ibadan, Ibadan, Nigeria.
| | - Emmanuel Peprah
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Huichun Xu
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Rufus Akinyemi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria; Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria; Department of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Hemant K Tiwari
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, USA
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, USA
| | - Kolawole Wasiu Wahab
- Department of Medicine, College of Health Sciences, University of Ilorin, Ilorin, Nigeria
| | - Donna K Arnett
- College of Public Health, University of Kentucky at Lexington, USA
| | - Bruce Ovbiagele
- Department of Neurology, Medical University of South Carolina, Charleston, USA
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29
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CD36 Gene Polymorphisms Are Associated with Intracerebral Hemorrhage Susceptibility in a Han Chinese Population. BIOMED RESEARCH INTERNATIONAL 2017; 2017:5352071. [PMID: 28804718 PMCID: PMC5540265 DOI: 10.1155/2017/5352071] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Accepted: 06/12/2017] [Indexed: 12/20/2022]
Abstract
The CD36 gene encodes a membrane glycoprotein (type B scavenger receptor, SR-B2) that plays a crucial role in lipid sensing, innate immunity, atherogenesis, and glycolipid metabolism. In this study, we aimed to investigate the association between CD36 gene polymorphisms and intracerebral hemorrhage (ICH) in a Han Chinese population. We performed genotype and allele analyses for eleven single nucleotide polymorphisms (SNPs) of CD36 in a case-controlled study involving 292 ICH patients and 298 control participants. Eleven SNPs were genotyped by the Improved Multiple Ligase Detection Reaction (iMLDR) method. The results indicated that the SNP rs1194182 values were significantly different between ICH group and control group in a dominant model after adjusting for confounding factors. The subgroup analysis conducted for rs1194182 showed that the allele G frequencies were significantly different between ICH patients and controls in hypertension group via a dominant model. We then analyzed the rs1194182 genotype distributions among different groups of the serum lipid groups, including BMI, TC, TG, HDL, and LDL. However, no significant differences were found in the analysis of other subgroups. Taken together, these findings indicate that rs1194182 polymorphism in the CD36 gene was associated with ICH, and genotype GG could be an independent predictor.
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