1
|
Li C, Wang J, Wang P. Large-scale dependent multiple testing via higher-order hidden Markov models. J Biopharm Stat 2024:1-13. [PMID: 39494677 DOI: 10.1080/10543406.2024.2420657] [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: 03/07/2024] [Accepted: 10/17/2024] [Indexed: 11/05/2024]
Abstract
Taking into account the local dependence structure in large-scale multiple testing is expected to improve both the efficiency of the testing procedure and the interpretability of scientific findings. The hidden Markov model (HMM), as an effective model to describe the sequential dependence, has been successfully applied to large-scale multiple testing with local correlations. However, in many applications, the first-order Markov chain is not flexible enough to capture the complexity of local correlations. To address this issue, this paper proposes a novel multiple testing procedure that uses a higher-order Markov chain to better characterize local correlations among tests. The proposed procedure is validated by theoretical results and simulation studies, which show that it outperforms its competitors in terms of power. Finally, a real data analysis is presented to demonstrate the favorable performance of the proposed procedure.
Collapse
Affiliation(s)
- Canhui Li
- School of Mathematics and Statistics, Henan University, Kaifeng, China
| | - Jiangzhou Wang
- College of Mathematics and Statistics, Institute of Statistical Sciences, Shenzhen University, Shenzhen, China
| | - Pengfei Wang
- School of Statistics, Dongbei University of Finance and Economics, Dalian, China
| |
Collapse
|
2
|
GAS5 rs2067079 and miR-137 rs1625579 functional SNPs and risk of chronic hepatitis B virus infection among Egyptian patients. Sci Rep 2021; 11:20014. [PMID: 34625583 PMCID: PMC8501054 DOI: 10.1038/s41598-021-99345-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 08/23/2021] [Indexed: 11/08/2022] Open
Abstract
Hepatitis B virus (HBV) infection is a significant health issue worldwide.. We attempted to fulfill the molecular mechanisms of epigenetic and genetic factors associated with chronic HBV (CHBV). Expression levels of the lncRNA growth arrest-specific 5 (GAS5) and miR-137 and their corresponding SNPs, rs2067079 (C/T) and rs1625579 (G/T) were analyzed in 117 CHBV patients and 120 controls to investigate the probable association between these biomarkers and CHBV pathogenesis in the Egyptian population. Serum expression levels of GAS5 and miR-137 were significantly down-regulated in cases vs controls. Regarding GAS5 (rs2067079), the mutant TT genotype showed an increased risk of CHBV (p < 0.001), while the dominant CC was a protective factor (p = 0.004). Regarding miR-137 rs1625579, the mutant genotype TT was reported as a risk factor for CHBV (p < 0.001) and the normal GG genotype was a protective factor, p < 0.001. The serum GAS5 was significantly higher in the mutant TT genotype of GAS5 SNP as compared to the other genotypes (p = 0.007). Concerning miR-137 rs1625579, the mutant TT genotype was significantly associated with a lower serum expression level of miR-137 (p = 0.018). We revealed the dysregulated expression levels of GAS5 and miR-137 linked to their functioning SNPs were associated with CHBV risk and might act as potential therapeutic targets.
Collapse
|
3
|
Abdolmaleky HM, Zhou JR, Thiagalingam S. Cataloging recent advances in epigenetic alterations in major mental disorders and autism. Epigenomics 2021; 13:1231-1245. [PMID: 34318684 PMCID: PMC8738978 DOI: 10.2217/epi-2021-0074] [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: 02/24/2021] [Accepted: 07/12/2021] [Indexed: 11/21/2022] Open
Abstract
During the last two decades, diverse epigenetic modifications including DNA methylation, histone modifications, RNA editing and miRNA dysregulation have been associated with psychiatric disorders. A few years ago, in a review we outlined the most common epigenetic alterations in major psychiatric disorders (e.g., aberrant DNA methylation of DTNBP1, HTR2A, RELN, MB-COMT and PPP3CC, and increased expression of miR-34a and miR-181b). Recent follow-up studies have uncovered other DNA methylation aberrations affecting several genes in mental disorders, in addition to dysregulation of many miRNAs. Here, we provide an update on new epigenetic findings and highlight potential origin of the diversity and inconsistencies, focusing on drug effects, tissue/cell specificity of epigenetic landscape and discuss shortcomings of the current diagnostic criteria in mental disorders.
Collapse
Affiliation(s)
- Hamid Mostafavi Abdolmaleky
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, 02118 MA, USA
- Department of Surgery, Nutrition/Metabolism Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, 02215 MA, USA
| | - Jin-Rong Zhou
- Department of Surgery, Nutrition/Metabolism Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, 02215 MA, USA
| | - Sam Thiagalingam
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, 02118 MA, USA
- Genetics & Genomics Graduate Program, Boston University School of Medicine, Boston, 02118 MA, USA
- Department of Pathology & Laboratory Medicine, Boston University School of Medicine, Boston, 02218 MA, USA
| |
Collapse
|
4
|
Brum CB, Paixão-Côrtes VR, Carvalho AM, Martins-Silva T, Carpena MX, Ulguim KF, Luquez KYS, Salatino-Oliveira A, Tovo-Rodrigues L. Genetic variants in miRNAs differentially expressed during brain development and their relevance to psychiatric disorders susceptibility. World J Biol Psychiatry 2021; 22:456-467. [PMID: 33040684 DOI: 10.1080/15622975.2020.1834618] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVES MicroRNAs (miRNAs) play an important regulatory role in the expression of genes involved in brain functions during development. Genetic variants in miRNA genes may impact their regulatory function and lead to psychiatric disorders. To evaluate the role of genetic variants in genes of miRNAs differentially expressed during neurodevelopment on autism spectrum disorder (ASD), attention deficit/hyperactivity disorder (ADHD), schizophrenia (SCZ), and major depressive disorder (MDD). METHODS The miRNAs were identified in the literature. Summary statistics from the most recent genome-wide association studies to date were used to evaluate the association between the selected polymorphisms and each disorder in a look-up approach. In a global analysis, we compared the standardised risk effect of variants in neurodevelopment-related miRNAs with those in the remaining miRNAs from miRBase. RESULTS The global analysis showed that variants in neurodevelopment-related miRNAs had higher risk effects compared to the other miRNAs for SCZ (p = 0.010) and ADHD (p = 0.001). MIR33B, MIR29B2, MIR29C, MIR137, and MIR135A1 were significantly associated with SCZ, while 55.9% of the miRNAs were at least nominally associated with one or more psychiatric disorders (p < 0.05). CONCLUSIONS Genetic variants in neurodevelopment-related miRNAs play an important role in the genetic susceptibility of psychiatric disorders, mainly SCZ and ADHD.
Collapse
Affiliation(s)
- Clarice Brinck Brum
- Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Pelotas, Brazil
| | | | | | - Thais Martins-Silva
- Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Marina Xavier Carpena
- Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Pelotas, Brazil
| | | | | | - Angélica Salatino-Oliveira
- Postgraduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Luciana Tovo-Rodrigues
- Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Pelotas, Brazil.,Human Development and Violence Research Centre, Federal University of Pelotas, Pelotas, Brazil
| |
Collapse
|
5
|
Bülbül EÖ, Karantas ID, Okur ME, Siafaka PI, Okur NÜ. Schizophrenia; A Review on Promising Drug Delivery Systems. Curr Pharm Des 2020; 26:3871-3883. [DOI: 10.2174/1381612826666200523173102] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Accepted: 04/15/2020] [Indexed: 12/30/2022]
Abstract
Background:
Schizophrenia belongs to mental illnesses affecting 1% of the worldwide population. Its
therapy is still unmet; thus, researchers aimed to develop new pharmacological molecules which can improve its
management.
Methods:
Moreover, the current typical and atypical antipsychotics should be formulated in more efficacious
systems that can deliver the drug in the brain with as few side effects as possible. Further, the development of
long-acting efficient drug delivery systems could be significant in minimizing frequent dosing which is nonpreferred
to schizophrenics.
Results:
Herein, authors focused on current developments of antipsychotic medications used in schizophrenia
management. Various studies, which include the use of first and second-generation antipsychotics, were analyzed
according to their efficacy. In fact, in this review, oral, injectable, transdermal and intranasal formulations entrapped
antipsychotics are presented to be valuable guidance for scientists to formulate more effective drug delivery
systems for schizophrenic patients.
Conclusions:
This review aimed to assist researchers working on schizophrenia management by summarizing
current medications and newly synthesized drug delivery systems recently found in the literature.
Collapse
Affiliation(s)
- Ece Ö. Bülbül
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Istanbul University, Istanbul, Turkey
| | - Ioannis D. Karantas
- Hippokration General Hospital, 2nd Clinic of Internal Medicine, Thessaloniki, Greece
| | - Mehmet E. Okur
- Department of Pharmacology, Faculty of Pharmacy, University of Health Sciences, Istanbul, Turkey
| | - Panoraia I. Siafaka
- Department of Chemistry, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Neslihan Ü. Okur
- Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Health Sciences, Istanbul, Turkey
| |
Collapse
|
6
|
Liu YP, Wu X, Xia X, Yao J, Wang BJ. The genome-wide supported CACNA1C gene polymorphisms and the risk of schizophrenia: an updated meta-analysis. BMC MEDICAL GENETICS 2020; 21:159. [PMID: 32770953 PMCID: PMC7414708 DOI: 10.1186/s12881-020-01084-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 07/02/2020] [Indexed: 02/08/2023]
Abstract
Background The CACNA1C gene was defined as a risk gene for schizophrenia in a large genome-wide association study of European ancestry performed by the Psychiatric Genomics Consortium. Previous meta-analyses focused on the association between the CACNA1C gene rs1006737 and schizophrenia. The present study focused on whether there was an ancestral difference in the effect of the CACNA1C gene rs1006737 on schizophrenia. rs2007044 and rs4765905 were analyzed for their effect on the risk of schizophrenia. Methods Pooled, subgroup, sensitivity, and publication bias analysis were conducted. Results A total of 18 studies met the inclusion criteria, including fourteen rs1006737 studies (15,213 cases, 19,412 controls), three rs2007044 studies (6007 cases, 6518 controls), and two rs4765905 studies (2435 cases, 2639 controls). An allele model study also related rs2007044 and rs4765905 to schizophrenia. The overall meta-analysis for rs1006737, which included the allele contrast, dominant, recessive, codominance, and complete overdominance models, showed significant differences between rs1006737 and schizophrenia. However, the ancestral-based subgroup analysis for rs1006737 found that the genotypes GG and GG + GA were only protective factors for schizophrenia in Europeans. In contrast, the rs1006737 GA genotype only reduced the risk of schizophrenia in Asians. Conclusions Rs1006737, rs2007044, and rs4765905 of the CACNA1C gene were associated with susceptibility to schizophrenia. However, the influence model for rs1006737 on schizophrenia in Asians and Europeans demonstrated both similarities and differences between the two ancestors.
Collapse
Affiliation(s)
- Yong-Ping Liu
- School of Forensic Medicine, China Medical University, No.77 Puhe Road, Shenbei New District, Shenyang, 110122, China
| | - Xue Wu
- School of Forensic Medicine, China Medical University, No.77 Puhe Road, Shenbei New District, Shenyang, 110122, China
| | - Xi Xia
- School of Forensic Medicine, China Medical University, No.77 Puhe Road, Shenbei New District, Shenyang, 110122, China
| | - Jun Yao
- School of Forensic Medicine, China Medical University, No.77 Puhe Road, Shenbei New District, Shenyang, 110122, China.
| | - Bao-Jie Wang
- School of Forensic Medicine, China Medical University, No.77 Puhe Road, Shenbei New District, Shenyang, 110122, China.
| |
Collapse
|