1
|
Baron M, Malov SV. Detection and estimation of multiple transient changes. J Appl Stat 2023; 50:2862-2888. [PMID: 37808619 PMCID: PMC10557625 DOI: 10.1080/02664763.2023.2174257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 01/23/2023] [Indexed: 03/14/2023]
Abstract
Change-point detection methods are proposed for the case of temporary failures, or transient changes, when an unexpected disorder is ultimately followed by a re-adjustment and return to the initial state. A base distribution of the 'in-control' state changes to an 'out-of-control' distribution for unknown periods of time. Likelihood based sequential and retrospective tools are proposed for the detection and estimation of each pair of change-points. The accuracy of the obtained change-point estimates is assessed. Proposed methods offer simultaneous control of the familywise false alarm and false re-adjustment rates at the pre-chosen levels.
Collapse
Affiliation(s)
- Michael Baron
- Department of Mathematics and Statistics, American University, Washington, DC, USA
| | - Sergey V. Malov
- Institute of Computer Science and Technologies, Peter the Great St.-Petersburg Polytechnic University, St.-Petersburg, Russia
- Institute of Translational Biomedicine, St.-Petersburg State University, St.-Petersburg, Russia
- Department of Algorithmic Mathematics, St.-Petersburg Electrotechnical University, St.-Petersburg, Russia
| |
Collapse
|
2
|
Malov SV. Uniform convergence rate of the nonparametric maximum likelihood estimator for current status data with competing risks. STATISTICS-ABINGDON 2020. [DOI: 10.1080/02331888.2020.1811281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Sergey V. Malov
- Theodosius Dobzhansky Center for Genome Bioinformatics, St.-Petersburg State University, St.-Petersburg, Russia
- Department of Algorithmic Mathematics, St.-Petersburg Electrotechnical University, St.-Petersburg, Russia
| |
Collapse
|
3
|
Makashov AA, Malov SV, Kozlov AP. Oncogenes, tumor suppressor and differentiation genes represent the oldest human gene classes and evolve concurrently. Sci Rep 2019; 9:16410. [PMID: 31712655 PMCID: PMC6848199 DOI: 10.1038/s41598-019-52835-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 10/24/2019] [Indexed: 01/20/2023] Open
Abstract
Earlier we showed that human genome contains many evolutionarily young or novel genes with tumor-specific or tumor-predominant expression. We suggest calling such genes Tumor Specifically Expressed, Evolutionarily New (TSEEN) genes. In this paper we performed a study of the evolutionary ages of different classes of human genes, using homology searches in genomes of different taxa in human lineage. We discovered that different classes of human genes have different evolutionary ages and confirmed the existence of TSEEN gene classes. On the other hand, we found that oncogenes, tumor-suppressor genes and differentiation genes are among the oldest gene classes in humans and their evolution occurs concurrently. These findings confirm non-trivial predictions made by our hypothesis of the possible evolutionary role of hereditary tumors. The results may be important for better understanding of tumor biology. TSEEN genes may become the best tumor markers.
Collapse
Affiliation(s)
- A A Makashov
- Biomedical Center, Viborgskaya str. 8, Saint-Petersburg, 194044, Russia.,Peter the Great St. Petersburg Polytechnic University, Politekhnicheskaya ul., 29, St. Petersburg, 195251, Russia.,Research Institute of Ultra Pure Biologicals, 7 Pudozhskaya str., St. Petersburg, 197110, Russia
| | - S V Malov
- Theodosius Dobzhansky Center for Genome Bioinformatics, St.-Petersburg State University, 41A, Sredniy av., St. Petersburg, 199004, Russia.,Department of Algorithmic Mathematics, St.-Petersburg Electrotechnical University, 5, Prof. Popova str, St. Petersburg, 197376, Russia
| | - A P Kozlov
- Biomedical Center, Viborgskaya str. 8, Saint-Petersburg, 194044, Russia. .,Peter the Great St. Petersburg Polytechnic University, Politekhnicheskaya ul., 29, St. Petersburg, 195251, Russia. .,Research Institute of Ultra Pure Biologicals, 7 Pudozhskaya str., St. Petersburg, 197110, Russia. .,Vavilov Institute of General Genetics, 3 Gubkina str., Moscow, 119333, Russia.
| |
Collapse
|
4
|
Affiliation(s)
- Sergey V. Malov
- Theodosius Dobzhansky Center for Genome BioinformaticsSaint Petersburg State University Saint Petersburg Russia
- Department of MathematicsSaint Petersburg Electrotechnical University Saint Petersburg Russia
| |
Collapse
|
5
|
Malov SV, O’Brien SJ. Life table estimator revisited. COMMUN STAT-THEOR M 2018. [DOI: 10.1080/03610926.2017.1335418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Sergey V. Malov
- Theodosius Dobzhansky Center for Genome Bioinformatics, St.-Petersburg State University, St.-Petersburg, Russia
- Department of Mathematics, St.-Petersburg Electrotechnical University, St.-Petersburg, Russia
| | - Stephen J. O’Brien
- Theodosius Dobzhansky Center for Genome Bioinformatics, St.-Petersburg State University, St.-Petersburg, Russia
- Guy Harvey Oceanographic Center, Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Ft Lauderdale, Florida, USA
| |
Collapse
|
6
|
Xie W, Agniel D, Shevchenko A, Malov SV, Svitin A, Cherkasov N, Baum MK, Campa A, Gaseitsiwe S, Bussmann H, Makhema J, Marlink R, Novitsky V, Lee TH, Cai T, O'Brien SJ, Essex M. Genome-Wide Analyses Reveal Gene Influence on HIV Disease Progression and HIV-1C Acquisition in Southern Africa. AIDS Res Hum Retroviruses 2017; 33:597-609. [PMID: 28132517 DOI: 10.1089/aid.2016.0017] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Sub-Saharan Africans infected with HIV-1C make up the largest AIDS patient population in the world and exhibit large heterogeneity in disease progression before initiating antiretroviral therapy. To identify host variants associated with HIV disease progression, we performed genome-wide association studies on a total of 556 treatment-naive HIV-infected individuals in Botswana. We characterized the pattern of HIV disease progression using a novel functional principal component analysis, which can better capture longitudinal CD4 and viral load (VL) trajectories. Two single-nucleotide polymorphisms (SNPs) near HCG22 (chr6, peak variant rs2535307, combined p = 3.72 × 10-7, minor allele as risky allele) and CCNG1 (chr5, peak variant kgp22385164, combined p = 1.88 × 10-6, minor allele as risky allele) were significantly associated with CD4 and VL dynamics. Inspection of SNPs in these gene regions in a third Botswana cohort (using GWATCH) also revealed a strong association of HCG22 with HIV-1C acquisition, suggesting that this region is associated with infection as well as disease progression. Our study uncovered two genetic regions that are significant and have specific effects on HIV-1C acquisition or progression in sub-Saharan Africans, and the result suggested new potential targets for AIDS prevention and treatment. In addition, our results also indicate the possibility of using genetic markers as HIV disease progression indicators in sub-Saharan Africans to prioritize fast progressors for antiretroviral treatment.
Collapse
Affiliation(s)
- Wen Xie
- Harvard T.H. Chan School of Public Health AIDS Initiative, Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Botswana Harvard AIDS Institute, Gaborone, Botswana
| | - Denis Agniel
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts
| | - Andrey Shevchenko
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia
| | - Sergey V. Malov
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia
- Department of Mathematics, St. Petersburg Electrotechnical University, St Petersburg, Russia
| | - Anton Svitin
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia
| | - Nikolay Cherkasov
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia
| | - Marianna K. Baum
- Department of Dietetics and Nutrition, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, Florida
| | - Adriana Campa
- Department of Dietetics and Nutrition, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, Florida
| | - Simani Gaseitsiwe
- Harvard T.H. Chan School of Public Health AIDS Initiative, Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Botswana Harvard AIDS Institute, Gaborone, Botswana
| | - Hermann Bussmann
- Harvard T.H. Chan School of Public Health AIDS Initiative, Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Botswana Harvard AIDS Institute, Gaborone, Botswana
| | - Joseph Makhema
- Harvard T.H. Chan School of Public Health AIDS Initiative, Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Botswana Harvard AIDS Institute, Gaborone, Botswana
| | - Richard Marlink
- Harvard T.H. Chan School of Public Health AIDS Initiative, Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Botswana Harvard AIDS Institute, Gaborone, Botswana
| | - Vladimir Novitsky
- Harvard T.H. Chan School of Public Health AIDS Initiative, Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Botswana Harvard AIDS Institute, Gaborone, Botswana
| | - Tun-Hou Lee
- Harvard T.H. Chan School of Public Health AIDS Initiative, Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Tianxi Cai
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Stephen J. O'Brien
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia
- Oceanographic Center, Nova Southeastern University, Ft. Lauderdale, Florida
| | - M. Essex
- Harvard T.H. Chan School of Public Health AIDS Initiative, Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Botswana Harvard AIDS Institute, Gaborone, Botswana
| |
Collapse
|
7
|
Malov SV, Antonik A, Tang M, Berred A, Zeng Y, O'Brien SJ. Signal localization: a new approach in signal discovery. Biom J 2017; 59:126-144. [DOI: 10.1002/bimj.201500222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Revised: 07/27/2016] [Accepted: 08/03/2016] [Indexed: 11/11/2022]
Affiliation(s)
- Sergey V. Malov
- Theodosius Dobzhansky Center for Genome Bionformatics; St.-Petersburg State University; 199034 Sredniy avenue 41A St.-Petersburg Russia
- Department of Mathematics; St.-Petersburg Electrotechnical University “LETI”; 197376 Prof. Popova str. 5 St.-Petersburg Russia
| | - Alexey Antonik
- Theodosius Dobzhansky Center for Genome Bionformatics; St.-Petersburg State University; 199034 Sredniy avenue 41A St.-Petersburg Russia
| | - Minzhong Tang
- Wuzhou Health System Key Laboratory for Nasopharyngeal Carcinoma Etiology and Molecular Mechanism Wuzhou Red Cross Hospital; Wuzhou Guangxi P. R. China
| | - Alexandre Berred
- Université du Havre; UFR Sciences et Techniques; BP 540 76058 Le Havre Cedex France
| | - Yi Zeng
- National Institute for Viral Diseases Control and Prevention; Chinese Center for Disease Control and Prevention; Beijing P. R. China
| | - Stephen J. O'Brien
- Theodosius Dobzhansky Center for Genome Bionformatics; St.-Petersburg State University; 199034 Sredniy avenue 41A St.-Petersburg Russia
- Guy Harvey Oceanographic Center; Halmos College of Natural Sciences and Oceanography; Nova Southeastern University; 8000 North Ocean Drive FL USA
| |
Collapse
|
8
|
Kozlov AP, Skochilov RV, Toussova OV, Verevochkin SV, Krasnoselskikh TV, Malov SV, Shaboltas AV. HIV incidence and behavioral correlates of HIV acquisition in a cohort of injection drug users in St Petersburg, Russia. Medicine (Baltimore) 2016; 95:e5238. [PMID: 27858877 PMCID: PMC5591125 DOI: 10.1097/md.0000000000005238] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
The aim of the project was to study human immunodeficiency virus (HIV) incidence, sociodemographic and behavioral correlates of HIV acquisition among injection drug users (IDUs).A total of 717 IDUs were recruited, tested, and counseled for HIV-1; 466 HIV-negative participants were enrolled and followed-up at 6 and 12 months. Sociodemographic and behavioral data were collected during each study visit. The association of sociodemographic and behavioral factors to HIV-1 incidence was assessed.During the 9-month recruitment period, 717 IDUs were screened and 466 participants were enrolled. HIV-1 prevalence at baseline was 35%. Most enrolled subjects were young (median age 30), male (75%), injected heroin in the previous 3 months (86%), about 50% had shared syringes and other paraphernalia, and 44% had unprotected sex in the last month. The retention rate at the 12-month follow-up was 72% and the adjusted retention rate was 88%. The HIV incidence rate was 7.2/100 person-years. HIV incidence was significantly associated with specific drug risk behaviors, including injecting the mixture of heroin and psychostimulants, the frequency of injecting in groups with other people, and having more drug dealers.The St Petersburg IDUs cohort demonstrates one of the highest HIV incidence rates in the world. In 2004 to 2006, the HIV incidence was 4.5, in 2005 to 2007-19.6, and in 2008 to 2009-7.2/100 person-years. The peak of HIV epidemic among IDUs in St Petersburg, as determined by 3 independent cohort studies, was in 2006 to 2007. Interventions targeting IDUs with long experience of heroin injection and high levels of injection risk behaviors are urgently needed.
Collapse
Affiliation(s)
- Andrei P. Kozlov
- Biomedical Center
- Peter the Great St Petersburg Polytechnic University
- Correspondence: Andrei P. Kozlov, PhD, The Biomedical Center, 8 Vyborgskaya St, St Petersburg 194044, Russia (e-mail: )
| | | | | | | | | | - Sergey V. Malov
- St Petersburg State University
- St Petersburg Electrotechnical University, St Petersburg, Russia
| | | |
Collapse
|
9
|
Hoffman IF, Latkin CA, Kukhareva PV, Malov SV, Batluk JV, Shaboltas AV, Skochilov RV, Sokolov NV, Verevochkin SV, Hudgens MG, Kozlov AP. A peer-educator network HIV prevention intervention among injection drug users: results of a randomized controlled trial in St. Petersburg, Russia. AIDS Behav 2013; 17:2510-20. [PMID: 23881187 DOI: 10.1007/s10461-013-0563-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
We evaluated the efficacy of a peer-educator network intervention as a strategy to reduce HIV acquisition among injection drug users (IDUs) and their drug and/or sexual networks. A randomized controlled trial was conducted in St. Petersburg, Russia among IDU index participants and their risk network participants. Network units were randomized to the control or experimental intervention. Only the experimental index participants received training sessions to communicate risk reduction techniques to their network members. Analysis includes 76 index and 84 network participants who were HIV uninfected. The main outcome measure was HIV sero-conversion. The incidence rates in the control and experimental groups were 19.57 (95 % CI 10.74-35.65) and 7.76 (95 % CI 3.51-17.19) cases per 100 p/y, respectively. The IRR was 0.41 (95 % CI 0.15-1.08) without a statistically significant difference between the two groups (log rank test statistic X(2) = 2.73, permutation p value = 0.16). Retention rate was 67 % with a third of the loss due to incarceration or death. The results show a promising trend that this strategy would be successful in reducing the acquisition of HIV among IDUs.
Collapse
Affiliation(s)
- Irving F Hoffman
- Division of Infectious Diseases, Department of Medicine, UNC Hospitals, University of North Carolina, CB # 7030, Chapel Hill, NC, 27599, USA.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
10
|
Bagdonavičius V, Malov SV, Nikulin M. Homogeneity Tests for Related Samples Under Censoring. COMMUN STAT-SIMUL C 2012. [DOI: 10.1080/03610918.2012.625319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
|
11
|
Christoph G, Malov SV. Asymptotic Properties of Generalized Multivariate Rank Statistics. COMMUN STAT-THEOR M 2012. [DOI: 10.1080/03610926.2011.558662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
|
12
|
Berred A, Malov SV. Semiparametric Estimation in Copulas with the Same Marginals. COMMUN STAT-THEOR M 2008. [DOI: 10.1080/03610920802213699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Alexandre Berred
- a UFR Sciences et Techniques , Université du Havre , Le Havre , France
| | - Sergey V. Malov
- b Department of Mathematics , St. Petersburg Electrotechnical University , St. Petersburg , Russia
| |
Collapse
|
13
|
Bagdonavičius V, Malov SV, Nikulin MS. Semiparametric Regression Estimation in Copula Models. COMMUN STAT-THEOR M 2006. [DOI: 10.1080/03610920600637297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
| | - Sergey V. Malov
- b Department of Mathematics and Mechanics , St. Petersburg State University , St. Petersburg , Russia
| | - Mikhail S. Nikulin
- c Mathematical Statistics , University Bordeaux 2 , Bordeaux , France
- d Laboratory of Statistical Methods , Steklov Mathematical Institute, RAS , St. Petersburg , Russia
| |
Collapse
|
14
|
|