1
|
Kimball TN, Tack RW, Chen A, Prapiadou S, Senff JR, Tan BY, Singh SD, van Veluw SJ, Greenberg SM, Rosand J, Anderson CD. Genetics of intracerebral hemorrhage. J Cereb Blood Flow Metab 2025:271678X241310401. [PMID: 39763366 DOI: 10.1177/0271678x241310401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2025]
Abstract
Spontaneous intracerebral hemorrhage(ICH) represents a life-threatening form of stroke, marked by its impact on survival and quality of life. ICH can be categorized from monogenic disorders linked to causal germline variants in ICH-related genes to complex sporadic cases, highlighting the interaction among lifestyle factors, environmental influences, and genetic components in determining risk. Among sporadic ICH, the influence of these factors varies across ICH subtypes, evidenced by heritability rates of up to 73% for lobar ICH versus 34% for non-lobar ICH. This review presents an outline of the genetic landscape of ICH, covering both monogenic and sporadic forms. It highlights associations between ICH risk and genetic variants, including rare and common variants in genes such as COL4A1, COL4A2, APOE, ACE, MTHFR, and PMF1. However, replication has been constrained, and most findings originate from single-candidate gene studies, largely due to ancestry heterogeneity, small sample sizes, and scarce subtype-specific data. To bridge this gap, collaborative efforts like the International Stroke Genetic Consortium have been established. Additionally, the review discusses the emerging role of polygenic risk scores, Mendelian randomization, and the potential of genetic and omics research to elucidate causal pathobiology. Such insights could lead to preventive measures and personalized ICH treatment strategies.
Collapse
Affiliation(s)
- Tamara N Kimball
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Reinier Wp Tack
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Anna Chen
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Savvina Prapiadou
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Jasper R Senff
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Benjamin Yq Tan
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Sanjula D Singh
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | - Steven M Greenberg
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Jonathan Rosand
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Christopher D Anderson
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| |
Collapse
|
2
|
Pei Y, Wang Z, Hao S, Wu R, Qiao X, Zhang G. Analysis of independent risk factors for aneurysm rupture based on carotid tortuosity index and morphological parameters of single intracranial aneurysms in anterior circulation. Clin Neurol Neurosurg 2023; 234:107993. [PMID: 37778106 DOI: 10.1016/j.clineuro.2023.107993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 09/13/2023] [Accepted: 09/26/2023] [Indexed: 10/03/2023]
Abstract
PURPOSE Our study focused on the risk factors associated with anterior circulation intracranial aneurysm (IA) rupture by examining the carotid artery (CA) tortuosity index (TI) and anterior circulation IA morphological parameters. METHOD This study conducted a retrospective analysis of clinical and imaging data from 163 patients with anterior circulation IA diagnosed by head and neck computed tomography angiography (CTA). The patients were categorized into two groups: the ruptured group (57 cases) and the unruptured group (106 cases). CA was categorized based on its location into three segments: the extracranial segment of the internal carotid artery (EICA) TI, the angle of the internal carotid artery (ICA) and the common carotid artery (CCA) TI. Measure the morphological parameters of all IA: IA length neck (L), IA height (H), aneurysm diameter width (D), the ratio of L to the mean diameter of the IA-bearing artery (SR), the ratio of H to D (AR), the angle of flow inflow (FA) and IA angle (AA). The study conducted five types of analysis to determine the risk factors for anterior circulation IA rupture. The first was an univariate analysis of the risk factors. The second was an analysis of the correlation between CA TI and IA morphological parameters. The third used multivariate logistic stepwise regression analysis to analyse independent risk factors for IA rupture. The fourth was to plot ROC curves to build a predictive model for IA rupture and calculate diagnostic thresholds. Finally, a data set from another hospital (78 cases) was used as a validation set to validate the multivariate model. RESULT Univariate analysis revealed that there were statistically significant differences (P < 0.05) in gender, EICA TI, location of IA and IA morphological parameters (FA, H, AR, L, SR), which acted as risk factors for anterior circulation IA rupture. The results of Spearman correlation analysis indicate that CCA TI is significantly correlated with SR, H and L (P < 0.05), while EICA TI is significantly correlated with FA and L (P < 0.05). The results of multivariate logistic analysis showed that FA (OR = 1.072, 95%CI = 1.04-1.10, P < 0.001), SR (OR = 4.949, 95%CI = 1.96-12.53, P = 0.001), EICA TI (OR = 1.037, 95%CI = 1.01-1.07, P = 0.003) were independent risk factors for IA rupture. The ROC curve plotting results suggest that the area under the curve (AUC) of FA is 0.860 with a diagnostic threshold of 110.1°; the AUC of SR is 0.786 with a diagnostic threshold of 1.67; the AUC of EICA TI is 0.723 with a diagnostic threshold of 28.845; the AUC of the three combined is 0.903 with a threshold of 0.480. The combined factor diagnostic model is validated according to the validation set, and the results show that the AUC (0.866) of the validation set is not much different from the AUC (0.903) of the multivariate model, and the multivariate model has a better diagnostic effect. CONCLUSION In clinical practice, it is important to consider the evaluation of aneurysm rupture in combination with imaging, as FA, SR and ECIA TI are independent risk factors for IA rupture in the anterior circulation. Unlike the IA morphological parameters, EICA TI is an often overlooked extracranial parameter, but is equally important in its power to predict IA rupture. When the EICA TI exceeds 28.845, the IA has the possibility of rupture. Finally, multivariate diagnostic model are of interest when considering rupture of the anterior circulation IA.
Collapse
Affiliation(s)
- Yusong Pei
- Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, China
| | - Zhiguo Wang
- Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, China
| | - Shanhu Hao
- Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, China
| | - Ruixian Wu
- Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, China
| | - Xinxin Qiao
- Department of Radiology, The Peoples Hospital of China Medical University, Shenyang, China
| | - Guoxu Zhang
- Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, China.
| |
Collapse
|
3
|
Ruan Y, Xie L, Zou A. Association of CDKN2A/B mutations, PD-1, and PD-L1 with the risk of acute lymphoblastic leukemia in children. J Cancer Res Clin Oncol 2023; 149:10841-10850. [PMID: 37314514 PMCID: PMC10423156 DOI: 10.1007/s00432-023-04974-x] [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: 05/03/2023] [Accepted: 06/04/2023] [Indexed: 06/15/2023]
Abstract
PURPOSE Currently, the significance of CDKN2A/B mutations in the pathogenesis and prognosis of acute lymphoblastic leukemia (ALL) is inconclusive. In this study, we analyzed the genetic and clinical features of children with CDKN2A/B mutations in ALL. In addition, we evaluated the expression and significance of programmed cell death protein 1 (PD-1) and programmed cell death ligand 1 (PD-L1) in serum and explored their role in the susceptibility of childhood ALL. METHODS We sequenced CDKN2A/B in the peripheral blood of 120 children with ALL and 100 healthy children with physical examination. The levels of CD4+ T, CD8+ T, and NK cells were measured by flow cytometry (FCM). Furthermore, the expression of PD-1 and PD-L1 was detected by ELISA. RESULTS We found 32 cases of CDKN2A rs3088440 and 11 of CDKN2B rs2069426 in 120 ALL children. Children with ALL in the CDKN2A rs3088440 were more likely to have hepatosplenomegaly (P = 0.019) and high risk (P = 0.014) than the wild group. In contrast, CDKN2B rs2069426 was more likely to develop lymph node metastasis (P = 0.017). The level of PD-L1 in the serum of ALL children was significantly higher than that of the control group, and there was no significant difference in PD-1 (P < 0.001). Additionally, children with CDKN2A rs3088440 had reduced CD8+ T cell counts than the wild group (P = 0.039). CONCLUSION CDKN2A rs3088440 and CDKN2B rs2069426 may be related to the occurrence and development of ALL in Chinese children. Additionally, PD-1/PD-L1 may be involved in the immune escape process of ALL, which is expected to become a new target for the treatment of the disease.
Collapse
Affiliation(s)
- Yang Ruan
- Department of Laboratory Medicine, Hunan Children's Hospital, Changsha, 410007, China.
| | - Longlong Xie
- Pediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, 410007, China
| | - Aijun Zou
- Department of Laboratory Medicine, Hunan Children's Hospital, Changsha, 410007, China
| |
Collapse
|
4
|
Xiang Q, Wang Z, Mu G, Xie Q, Liu Z, Zhou S, Zhang H, Wang Z, Hu K, Song H, Yuan D, Xia Q, Huang Y, Cui Y. PROK2, HRNR, and FIG4 as potential genetic biomarkers of high bleeding propensity in East Asian patients with acute coronary syndrome using ticagrelor. Pharmacotherapy 2022; 42:872-879. [PMID: 36263704 DOI: 10.1002/phar.2736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/26/2022] [Accepted: 10/01/2022] [Indexed: 12/13/2022]
Abstract
STUDY OBJECTIVE East Asians have a higher risk of bleeding than Europeans when treated with ticagrelor. This study aimed to explore genetic indicators related to the high bleeding propensity in East Asian patients with acute coronary syndrome (ACS) using ticagrelor. DESIGN A multicenter prospective cohort study. SETTING Four sub center hospitals participating the study. PATIENTS Between March 2018 and July 2021, 208 patients with ACS were administered ticagrelor and underwent genetic testing. INVERTENTION Patients were enrolled and followed up for bleeding events for 12 months. Single-nucleotide polymorphisms (SNPs) were detected using whole-exome sequencing. SNPs significantly associated with cumulative bleeding events within 1-, 6-, and 12-month follow-ups were selected (p < 0.01). Among these, SNPs showing a difference of ≥2 fold in their distribution frequency among East Asians and Europeans were selected. MEASUREMENTS AND MAIN RESULTS Among all patients, 96.60% received ticagrelor plus aspirin or cilostazol, and 42.3% suffered from bleeding events during 12-month follow-up. Furthermore, 22 SNPs of 15 genes were found to have a significant association with cumulative bleeding events within 1-, 6-, and 12-month follow-ups. Among these SNPs, FIG4 rs2295837 (A>T) variant had the strongest association with bleeding events within 1 month (p = 1.28 × 10-4 ), with an increased risk of bleeding in T allele carriers (odds ratio [OR]: 3.07, 95% confidence interval [CI]: 1.68-5.63). PROK2 rs3796224 (C>T) variant was most strongly associated with cumulative bleeding events within 6 months (p = 4.57 × 10-4 ) with an increased risk of bleeding in T allele carriers (OR: 2.16, 95% CI: 1.20-3.89). Moreover, HRNR rs6662450 (C>T) variant showed the strongest relation with cumulative bleeding events within 12 months (p = 4.86 × 10-4 ) with a reduced risk of bleeding in T allele carriers (OR: 0.48, 95% CI: 0.24-0.95). CONCLUSION Fifteen genes, including PROK2, HRNR, and FIG4, were potential biomarkers of high bleeding propensity in East Asian patients with ACS using ticagrelor.
Collapse
Affiliation(s)
- Qian Xiang
- Department of Pharmacy, Peking University First Hospital, Beijing, China
| | - Zhe Wang
- Department of Pharmacy, Peking University First Hospital, Beijing, China.,School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China
| | - Guangyan Mu
- Department of Pharmacy, Peking University First Hospital, Beijing, China
| | - Qiufen Xie
- Department of Pharmacy, Peking University First Hospital, Beijing, China
| | - Zhiyan Liu
- Department of Pharmacy, Peking University First Hospital, Beijing, China
| | - Shuang Zhou
- Department of Pharmacy, Peking University First Hospital, Beijing, China.,School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China
| | - Hanxu Zhang
- School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China
| | - Zining Wang
- Department of Pharmacy, Peking University First Hospital, Beijing, China
| | - Kun Hu
- Department of Pharmacy, Peking University First Hospital, Beijing, China.,School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China
| | - Hongtao Song
- Department of Pharmacy, 900 Hospital of the Joint Logistics Team, Fuzhou, China
| | - Dongdong Yuan
- Department of Pharmacy, Zhengzhou Seventh People's Hospital, Zhengzhou, China
| | - Quan Xia
- Department of Pharmacy, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yan Huang
- Department of Pharmacy, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yimin Cui
- Department of Pharmacy, Peking University First Hospital, Beijing, China.,School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China.,Institute of Clinical Pharmacology, Peking University, Beijing, China
| |
Collapse
|
5
|
Li W, Shao C, Zhou H, Du H, Chen H, Wan H, He Y. Multi-omics research strategies in ischemic stroke: A multidimensional perspective. Ageing Res Rev 2022; 81:101730. [PMID: 36087702 DOI: 10.1016/j.arr.2022.101730] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 08/23/2022] [Accepted: 09/03/2022] [Indexed: 01/31/2023]
Abstract
Ischemic stroke (IS) is a multifactorial and heterogeneous neurological disorder with high rate of death and long-term impairment. Despite years of studies, there are still no stroke biomarkers for clinical practice, and the molecular mechanisms of stroke remain largely unclear. The high-throughput omics approach provides new avenues for discovering biomarkers of IS and explaining its pathological mechanisms. However, single-omics approaches only provide a limited understanding of the biological pathways of diseases. The integration of multiple omics data means the simultaneous analysis of thousands of genes, RNAs, proteins and metabolites, revealing networks of interactions between multiple molecular levels. Integrated analysis of multi-omics approaches will provide helpful insights into stroke pathogenesis, therapeutic target identification and biomarker discovery. Here, we consider advances in genomics, transcriptomics, proteomics and metabolomics and outline their use in discovering the biomarkers and pathological mechanisms of IS. We then delineate strategies for achieving integration at the multi-omics level and discuss how integrative omics and systems biology can contribute to our understanding and management of IS.
Collapse
Affiliation(s)
- Wentao Li
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
| | - Chongyu Shao
- School of Life Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
| | - Huifen Zhou
- School of Life Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
| | - Haixia Du
- School of Life Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
| | - Haiyang Chen
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
| | - Haitong Wan
- School of Life Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
| | - Yu He
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
| |
Collapse
|
6
|
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: 14] [Impact Index Per Article: 4.7] [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.
Collapse
|
7
|
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: 10] [Impact Index Per Article: 3.3] [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.
Collapse
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
| |
Collapse
|
8
|
Hu Y, Haessler JW, Manansala R, Wiggins KL, Moscati A, Beiser A, Heard-Costa NL, Sarnowski C, Raffield LM, Chung J, Marini S, Anderson CD, Rosand J, Xu H, Sun X, Kelly TN, Wong Q, Lange LA, Rotter JI, Correa A, Vasan RS, Seshadri S, Rich SS, Do R, Loos RJ, Longstreth WT, Bis JC, Psaty BM, Tirschwell DL, Assimes TL, Silver B, Liu S, Jackson R, Smoller S, Mitchell BD, Fornage M, Auer PL, Reiner AP, Kooperberg C. Whole-Genome Sequencing Association Analyses of Stroke and Its Subtypes in Ancestrally Diverse Populations From Trans-Omics for Precision Medicine Project. Stroke 2022; 53:875-885. [PMID: 34727735 PMCID: PMC8885789 DOI: 10.1161/strokeaha.120.031792] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 06/24/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Stroke is the leading cause of death and long-term disability worldwide. Previous genome-wide association studies identified 51 loci associated with stroke (mostly ischemic) and its subtypes among predominantly European populations. Using whole-genome sequencing in ancestrally diverse populations from the Trans-Omics for Precision Medicine (TOPMed) Program, we aimed to identify novel variants, especially low-frequency or ancestry-specific variants, associated with all stroke, ischemic stroke and its subtypes (large artery, cardioembolic, and small vessel), and hemorrhagic stroke and its subtypes (intracerebral and subarachnoid). METHODS Whole-genome sequencing data were available for 6833 stroke cases and 27 116 controls, including 22 315 European, 7877 Black, 2616 Hispanic/Latino, 850 Asian, 54 Native American, and 237 other ancestry participants. In TOPMed, we performed single variant association analysis examining 40 million common variants and aggregated association analysis focusing on rare variants. We also combined TOPMed European populations with over 28 000 additional European participants from the UK BioBank genome-wide array data through meta-analysis. RESULTS In the single variant association analysis in TOPMed, we identified one novel locus 13q33 for large artery at whole-genome-wide significance (P<5.00×10-9) and 4 novel loci at genome-wide significance (P<5.00×10-8), all of which need confirmation in independent studies. Lead variants in all 5 loci are low-frequency but are more common in non-European populations. An aggregation of synonymous rare variants within the gene C6orf26 demonstrated suggestive evidence of association for hemorrhagic stroke (P<3.11×10-6). By meta-analyzing European ancestry samples in TOPMed and UK BioBank, we replicated several previously reported stroke loci including PITX2, HDAC9, ZFHX3, and LRCH1. CONCLUSIONS We represent the first association analysis for stroke and its subtypes using whole-genome sequencing data from ancestrally diverse populations. While our findings suggest the potential benefits of combining whole-genome sequencing data with populations of diverse genetic backgrounds to identify possible low-frequency or ancestry-specific variants, they also highlight the need to increase genome coverage and sample sizes.
Collapse
Affiliation(s)
- Yao Hu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Jeffrey W. Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Regina Manansala
- School of Public Health, University of Wisconsin–Milwaukee, Milwaukee, WI
| | - Kerri L. Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Arden Moscati
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Alexa Beiser
- Department of Neurology, Boston University School of Medicine, Boston, MA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | | | - Chloe Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC
| | - Jaeyoon Chung
- Department of Medicine, Boston University School of Medicine, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
| | - Sandro Marini
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Christopher D. Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA
| | - Huichun Xu
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Xiao Sun
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Tanika N. Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Quenna Wong
- Department of Biostatistics, University of Washington, Seattle, WA
| | | | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Adolfo Correa
- Department of Pediatrics and Medicine, University of Mississippi Medical Center, Jackson, MS
| | | | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Ron Do
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Genetics and Genomic Sciences, The Icahn School of Medicine at Mount Sinai, New York, NY
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Departments of Epidemiology and Health Services, University of Washington, Seattle, WA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | | | | | - Brian Silver
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA
| | - Simin Liu
- Center for Global Cardiometabolic Health, Departments of Epidemiology, Medicine, and Surgery, Brown University, Providence, RI
| | - Rebecca Jackson
- Division of Endocrinology Diabetes and Metabolism, The Ohio State University, Columbus, OH
| | - Sylvia Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY
| | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX
| | - Paul L. Auer
- School of Public Health, University of Wisconsin–Milwaukee, Milwaukee, WI
| | - Alex P. Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington, Seattle, WA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| |
Collapse
|
9
|
Correlation of Genetic Variants and the Incidence, Prevalence and Mortality Rates of Acute Lymphoblastic Leukemia. J Pers Med 2022; 12:jpm12030370. [PMID: 35330370 PMCID: PMC8954641 DOI: 10.3390/jpm12030370] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/18/2022] [Accepted: 01/29/2022] [Indexed: 11/26/2022] Open
Abstract
Acute lymphoblastic leukemia (ALL) is the most common cancer during childhood, representing about 30–35% of cases. Its etiology is complex and not fully understood. ALL is influenced by genetic variants, and their frequencies (Fq) vary in different ethnic groups, which consequently could influence the epidemiology of this cancer worldwide. The aim of this study was to investigate the correlation between the genetic variants and their impacts on incidence (IC), mortality (MT), and prevalence (PV) rates of ALL in different world populations. Methods: Sixty variants were selected from the literature with Genome Wide Association studies (GWAS). Information regarding allele Fq was selected from the 1000 Genomes platform. Epidemiological data were taken from the Global Burden of disease visualisations (GBD) Compare website. Statistical analyses were calculated in RStudio v.3.5.1 software. Results: Four variants demonstrated significant results in correlations with epidemiological data for ALL. The PAX5 gene variant (rs2297105) had an indirect relationship with PV and IC of ALL, showing that an increased Fq of this variant is related to low rates of both. An increased Fq of rs915172 in EPB4IL2 gene was also correlated with a lower IC of ALL. The rs1048943 of the CYP1A1 gene and the rs3088440 polymorphism of the CDKN2A gene were shown to have a direct proportional relationship with MT rate, showing that an increased Fq of these variants correlates with a worse prognosis worldwide. Conclusion: Our study points out four important variants for understanding the IC, PV, and MT rates for ALL. The ascertainment of these data may help to choose molecular markers to investigate the susceptibility and prognosis of ALL.
Collapse
|
10
|
Synergistic Effects of Aldehyde Dehydrogenase 2 Polymorphisms and Alcohol Consumption on Cognitive Impairment after Ischemic Stroke in Han Chinese. Behav Neurol 2021; 2021:6696806. [PMID: 34257742 PMCID: PMC8253650 DOI: 10.1155/2021/6696806] [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: 04/01/2021] [Revised: 05/16/2021] [Accepted: 06/07/2021] [Indexed: 11/17/2022] Open
Abstract
Aldehyde dehydrogenase 2 (ALDH2) polymorphisms are related to both stroke risk and alcohol consumption. However, the influence of ALDH2 polymorphisms and alcohol consumption on cognitive impairment after ischemic stroke remains unknown, as do the possible mechanisms. We enrolled 180 Han Chinese ischemic stroke patients from four community health centers in Bengbu, China. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA), and two different MoCA cutoff scores were used to define cognitive impairment in ischemic stroke patients. The ALDH2 genotypes were determined using polymerase chain reaction and direct sequencing. To assess the associations of ALDH2 polymorphisms and alcohol consumption with cognitive impairment after ischemic stroke, we performed binary logistic regression analysis with odds ratios. We revealed that individuals with the ALDH2 wild-type genotype were more likely to have high MoCA scores than those with the mutant and heterozygous types (p = 0.034). In addition, using two MoCA cutoff scores, the percentage of moderate to excessive alcohol consumption in the cognitive impairment group was higher than that in the nonimpairment group (p = 0.001). The levels of 4-hydroxy-2-nonenal (p = 0.001) and swallowing function (p = 0.001) were also higher in the cognitive impairment group than in the nonimpairment group. Moreover, after adjusting for other potential risk factors, ALDH2 polymorphisms and alcohol consumption had a significant synergistic effect on cognitive impairment (p = 0.022). Specifically, the ALDH2∗2 mutant allele and higher alcohol consumption were associated with cognitive impairment and swallowing ability after ischemic stroke. Targeting ALDH2 may be a useful biomarker for cognitive rehabilitation following ischemic stroke.
Collapse
|
11
|
Muhammad S, Chaudhry SR, Dobreva G, Lawton MT, Niemelä M, Hänggi D. Vascular Macrophages as Therapeutic Targets to Treat Intracranial Aneurysms. Front Immunol 2021; 12:630381. [PMID: 33763073 PMCID: PMC7982735 DOI: 10.3389/fimmu.2021.630381] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 01/11/2021] [Indexed: 01/08/2023] Open
Abstract
Aneurysmal subarachnoid hemorrhage (aSAH) is a highly fatal and morbid type of hemorrhagic strokes. Intracranial aneurysms (ICAs) rupture cause subarachnoid hemorrhage. ICAs formation, growth and rupture involves cellular and molecular inflammation. Macrophages orchestrate inflammation in the wall of ICAs. Macrophages generally polarize either into classical inflammatory (M1) or alternatively-activated anti-inflammatory (M2)-phenotype. Macrophage infiltration and polarization toward M1-phenotype increases the risk of aneurysm rupture. Strategies that deplete, inhibit infiltration, ameliorate macrophage inflammation or polarize to M2-type protect against ICAs rupture. However, clinical translational data is still lacking. This review summarizes the contribution of macrophage led inflammation in the aneurysm wall and discuss pharmacological strategies to modulate the macrophageal response during ICAs formation and rupture.
Collapse
Affiliation(s)
- Sajjad Muhammad
- Department of Neurosurgery, Faculty of Medicine, Heinrich-Heine-University, Düsseldorf, Germany.,Department of Neurosurgery, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.,Department of Anatomy and Developmental Biology, Medical Faculty Mannheim and European Center for Angioscience (ECAS), University of Heidelberg, Mannheim, Germany
| | - Shafqat Rasul Chaudhry
- Shifa College of Pharmaceutical Sciences, Shifa Tameer-e-Millat University, Islamabad, Pakistan
| | - Gergana Dobreva
- Department of Anatomy and Developmental Biology, Medical Faculty Mannheim and European Center for Angioscience (ECAS), University of Heidelberg, Mannheim, Germany
| | - Michael T Lawton
- Department of Neurosurgery, Barrow Brain and Spine, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Mika Niemelä
- Department of Neurosurgery, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Daniel Hänggi
- Department of Neurosurgery, Faculty of Medicine, Heinrich-Heine-University, Düsseldorf, Germany
| |
Collapse
|
12
|
Ludhiadch A, Vasudeva K, Munshi A. Establishing molecular signatures of stroke focusing on omic approaches: a narrative review. Int J Neurosci 2020; 130:1250-1266. [PMID: 32075476 DOI: 10.1080/00207454.2020.1732964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Stroke or 'brain attack' is considered to be the major cause of mortality and morbidity worldwide after myocardial infraction. Inspite of the years of research and clinical practice, the pathogenesis of stroke still remains incompletely understood. Omics approaches not only enable the description of a huge number of molecular platforms but also have a potential to recognize new factors associated with various complex disorders including stroke. The most significant development among all other omics technologies over the recent years has been seen by genomics which is a powerful tool for exploring the genetic architecture of stroke. Genomics has decisively established itself in stroke research and by now wealth of data has been generated providing new insights into the physiology and pathophysiology of stroke. However, the efficacy of genomic data is restricted to risk prediction only. Omics approaches not only enable the description of a huge number of molecular platforms but also have a potential to recognize new factors associated with various complex disorders including stroke. The data generated by omics technologies enables clinicians to provide detailed insight into the makeup of stroke in individual patients, which will further help in developing diagnostic procedures to direct therapies. Present review has been compiled with an aim to understand the potential of integrated omics approach to help in characterization of mechanisms leading to stroke, to predict the patient risk of getting stroke by analyzing signature biomarkers and to develop targeted therapeutic strategies.
Collapse
Affiliation(s)
- Abhilash Ludhiadch
- Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, Punjab
| | - Kanika Vasudeva
- Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, Punjab
| | - Anjana Munshi
- Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, Punjab
| |
Collapse
|
13
|
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: 7] [Impact Index Per Article: 1.2] [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.
Collapse
|
14
|
Griessenauer CJ, Farrell S, Sarkar A, Zand R, Abedi V, Holland N, Michael A, Cummings CL, Metpally R, Carey DJ, Goren O, Martin N, Hendrix P, Schirmer CM. Genetic susceptibility to cerebrovascular disease: A systematic review. J Cereb Blood Flow Metab 2018; 38:1853-1871. [PMID: 30182779 PMCID: PMC6259318 DOI: 10.1177/0271678x18797958] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Investigation of genetic susceptibility to cerebrovascular disease has been of growing interest. A systematic review of human studies assessing neurogenomic aspects of cerebrovascular disease was performed according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement. Any association study exploring genetic variants located in the exome associated with one of the major cerebrovascular diseases with at least 500 subjects was eligible for inclusion. Of 6874 manuscripts identified, 35 studies met the inclusion criteria. Most studies of interest focused on ischemic stroke and cerebrovascular occlusive disease. Large cohort genetic association studies on hemorrhagic cerebrovascular disease were less common. In addition to rare, well-established monogenic conditions with significant risk for cerebrovascular disease, a number of genetic variants are also relevant to cerebrovascular pathogenesis as part of a multifactorial process. The 45 polymorphisms identified were located in genes involved in processes related to endothelial and vascular health (15 (33.4%) variants), plasma lipid metabolism (10 (22.2%) variants), inflammation (9 (20%) variants), coagulation (3 (6.7%) variants), and blood pressure modulation (2 (4.4%) variants), and other (6 (13.3%) variants). This work represents a comprehensive overview of genetic variants in the exome relevant to ischemic and hemorrhagic stroke pathophysiology.
Collapse
Affiliation(s)
- Christoph J Griessenauer
- 1 Department of Neurosurgery, Geisinger Commonwealth School of Medicine, Geisinger, Danville, PA, USA.,2 Research Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria
| | - Sean Farrell
- 3 Geisinger Commonwealth School of Medicine, Scranton, PA, USA
| | - Atom Sarkar
- 1 Department of Neurosurgery, Geisinger Commonwealth School of Medicine, Geisinger, Danville, PA, USA
| | - Ramin Zand
- 4 Department of Neurology, Geisinger Commonwealth School of Medicine, Geisinger, Danville, PA, USA
| | - Vida Abedi
- 5 Biomedical and Translational Informatics Institute, Geisinger, Danville, PA, USA
| | - Neil Holland
- 4 Department of Neurology, Geisinger Commonwealth School of Medicine, Geisinger, Danville, PA, USA
| | - Andrew Michael
- 6 Neuroimaging Analytics Laboratory, Autism & Developmental Medicine Institute, Geisinger, Lewisburg, PA, USA
| | - Christopher L Cummings
- 4 Department of Neurology, Geisinger Commonwealth School of Medicine, Geisinger, Danville, PA, USA
| | | | | | - Oded Goren
- 1 Department of Neurosurgery, Geisinger Commonwealth School of Medicine, Geisinger, Danville, PA, USA
| | - Neil Martin
- 1 Department of Neurosurgery, Geisinger Commonwealth School of Medicine, Geisinger, Danville, PA, USA
| | - Philipp Hendrix
- 8 Department of Neurosurgery, Saarland University Medical Center and Saarland University Faculty of Medicine, Homburg/Saar, Germany
| | - Clemens M Schirmer
- 1 Department of Neurosurgery, Geisinger Commonwealth School of Medicine, Geisinger, Danville, PA, USA
| |
Collapse
|
15
|
Yamada Y, Kato K, Oguri M, Horibe H, Fujimaki T, Yasukochi Y, Takeuchi I, Sakuma J. Identification of nine genes as novel susceptibility loci for early-onset ischemic stroke, intracerebral hemorrhage, or subarachnoid hemorrhage. Biomed Rep 2018; 9:8-20. [PMID: 29930801 PMCID: PMC6006761 DOI: 10.3892/br.2018.1104] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 05/23/2018] [Indexed: 02/07/2023] Open
Abstract
Given that substantial genetic components have been shown in ischemic stroke, intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH), heritability may be higher in early-onset than late-onset individuals with these conditions. Although genome-wide association studies (GWASs) have identified various genes and loci significantly associated with ischemic stroke, ICH, or intracranial aneurysm mainly in European ancestry populations, genetic variants that contribute to susceptibility to these disorders remain to be identified definitively. We performed exome-wide association studies (EWASs) to identify genetic variants that confer susceptibility to ischemic stroke, ICH, or SAH in early-onset subjects with these conditions. A total of 6,649 individuals aged ≤65 years were examined. For the EWAS of ischemic or hemorrhagic stroke, 6,224 individuals (450 subjects with ischemic stroke, 5,774 controls) or 6,179 individuals (261 subjects with ICH, 176 subjects with SAH, 5,742 controls), respectively, were examined. EWASs were performed with the use of Illumina Human Exome-12 v1.2 DNA Analysis BeadChip or Infinium Exome-24 v1.0 BeadChip. To compensate for multiple comparisons of allele frequencies with ischemic stroke, ICH, or SAH, we applied a false discovery rate (FDR) of <0.05 for statistical significance of association. The association of allele frequencies of 31,245 single nucleotide polymorphisms (SNPs) that passed quality control to ischemic stroke was examined with Fisher's exact test, and 31 SNPs were significantly (FDR <0.05) associated with ischemic stroke. The association of allele frequencies of 31,253 or 30,970 SNPs to ICH or SAH, respectively, was examined with Fisher's exact test, and six or two SNPs were significantly associated with ICH or SAH, respectively. Multivariable logistic regression analysis with adjustment for age, sex, and the prevalence of hypertension and diabetes mellitus revealed that 12 SNPs were significantly [P<0.0004 (0.05/124)] related to ischemic stroke. Similar analysis with adjustment for age, sex, and the prevalence of hypertension revealed that six or two SNPs were significantly [P<0.0016 (0.05/32)] related to ICH or SAH, respectively. After examination of linkage disequilibrium of identified SNPs and results of previous GWASs, we identified HHIPL2, CTNNA3, LOC643770, UTP20, and TRIB3 as susceptibility loci for ischemic stroke, DNTTIP2 and FAM205A as susceptibility loci for ICH, and FAM160A1 and OR52E4 as such loci for SAH. Therefore, to the best of our knowledge, we have newly identified nine genes that confer susceptibility to early-onset ischemic stroke, ICH, or SAH. Determination of genotypes for the SNPs in these genes may prove informative for assessment of the genetic risk for ischemic stroke, ICH, or SAH in Japanese.
Collapse
Affiliation(s)
- Yoshiji Yamada
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Mie 514-8507, Japan.,CREST, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan
| | - Kimihiko Kato
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Mie 514-8507, Japan.,Department of Internal Medicine, Meitoh Hospital, Nagoya, Aichi 465-0025, Japan
| | - Mitsutoshi Oguri
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Mie 514-8507, Japan.,Department of Cardiology, Kasugai Municipal Hospital, Kasugai, Aichi 486-8510, Japan
| | - Hideki Horibe
- Department of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi, Gifu 507-8522, Japan
| | - Tetsuo Fujimaki
- Department of Cardiovascular Medicine, Northern Mie Medical Center Inabe General Hospital, Inabe, Mie 511-0428, Japan
| | - Yoshiki Yasukochi
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Mie 514-8507, Japan.,CREST, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan
| | - Ichiro Takeuchi
- CREST, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan.,Department of Computer Science, Nagoya Institute of Technology, Nagoya, Aichi 466-8555, Japan.,RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan
| | - Jun Sakuma
- CREST, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan.,RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan.,Computer Science Department, College of Information Science, University of Tsukuba, Tsukuba, Ibaraki 305-8573, Japan
| |
Collapse
|