Structural features of the gene SIRT1 in residents of the Siberian region

Depression is a multifactorial mental disorder that is one of the main causes of disability and leads to suicide in 15% of cases. An active search for the genetic component of depression has identified a number of candidate genes that correlate with depression. Recent studies have demonstrated the a...

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Main Authors: D. A. Berdyugina, A. N. Savostyanov, D. V. Bazovkina, S. P. Kovalenko, L. I. Aftanas, Д. А. Бердюгина, А. Н. Савостьянов, Д. В. Базовкина, С. П. Коваленко, Л. И. Афтанас
Format: Article in Journal/Newspaper
Language:Russian
Published: Publishing House «Genius Media» LLC 2021
Subjects:
таргетное секвенирование
major depressive disorder
Yakuts
Tuvans
targeted sequencing
большое депрессивное расстройство
якуты
тувинцы
Online Access:https://www.medgen-journal.ru/jour/article/view/1940
https://doi.org/10.25557/2073-7998.2021.06.27-32
id ftjmedgen:oai:oai.medgen.elpub.ru:article/1940
record_format openpolar
institution Open Polar
collection Medical Genetics
op_collection_id ftjmedgen
language Russian
topic таргетное секвенирование
major depressive disorder
Yakuts
Tuvans
targeted sequencing
большое депрессивное расстройство
якуты
тувинцы
spellingShingle таргетное секвенирование
major depressive disorder
Yakuts
Tuvans
targeted sequencing
большое депрессивное расстройство
якуты
тувинцы
D. A. Berdyugina
A. N. Savostyanov
D. V. Bazovkina
S. P. Kovalenko
L. I. Aftanas
Д. А. Бердюгина
А. Н. Савостьянов
Д. В. Базовкина
С. П. Коваленко
Л. И. Афтанас
Structural features of the gene SIRT1 in residents of the Siberian region
topic_facet таргетное секвенирование
major depressive disorder
Yakuts
Tuvans
targeted sequencing
большое депрессивное расстройство
якуты
тувинцы
description Depression is a multifactorial mental disorder that is one of the main causes of disability and leads to suicide in 15% of cases. An active search for the genetic component of depression has identified a number of candidate genes that correlate with depression. Recent studies have demonstrated the association of a number of polymorphic variants of the SIRT1 gene with depression. At the same time, the specificity of the distribution of polymorphic variants in the SIRT1 gene among different populations remains unexplored, which may be significant in the analysis of associations. We have studied the structure of the coding part of the SIRT1 gene in the populations of Yakuts, Tuvans, and residents of Novosibirsk. Depending on the ethnic group, there was a change in the frequency of occurrence of polymorphic variants. Депрессия - многофакторное психическое расстройство, являющееся одной из основных причин инвалидности и приводящее к самоубийству в 15% случаев. Активный поиск генетической компоненты депрессии выявил ряд генов-кандидатов, ассоциированных с депрессией. Недавние исследования продемонстрировали ассоциацию ряда полиморфных вариантов гена SIRT1 с депрессией. В то же время остается неизученной специфика распределения полиморфных вариантов в гене SIRT1 в различных популяциях, что может быть существенным при анализе ассоциаций. Нами была изучена структура кодирующей часть гена SIRT1 в популяциях якутов, тувинцев и жителей Новосибирска. В зависимости от этнической группы наблюдалось изменение частот встречаемости полиморфных вариантов.
format Article in Journal/Newspaper
author D. A. Berdyugina
A. N. Savostyanov
D. V. Bazovkina
S. P. Kovalenko
L. I. Aftanas
Д. А. Бердюгина
А. Н. Савостьянов
Д. В. Базовкина
С. П. Коваленко
Л. И. Афтанас
author_facet D. A. Berdyugina
A. N. Savostyanov
D. V. Bazovkina
S. P. Kovalenko
L. I. Aftanas
Д. А. Бердюгина
А. Н. Савостьянов
Д. В. Базовкина
С. П. Коваленко
Л. И. Афтанас
author_sort D. A. Berdyugina
title Structural features of the gene SIRT1 in residents of the Siberian region
title_short Structural features of the gene SIRT1 in residents of the Siberian region
title_full Structural features of the gene SIRT1 in residents of the Siberian region
title_fullStr Structural features of the gene SIRT1 in residents of the Siberian region
title_full_unstemmed Structural features of the gene SIRT1 in residents of the Siberian region
title_sort structural features of the gene sirt1 in residents of the siberian region
publisher Publishing House «Genius Media» LLC
publishDate 2021
url https://www.medgen-journal.ru/jour/article/view/1940
https://doi.org/10.25557/2073-7998.2021.06.27-32
genre Yakuts
genre_facet Yakuts
op_source Medical Genetics; Том 20, № 6 (2021); 27-32
Медицинская генетика; Том 20, № 6 (2021); 27-32
2073-7998
op_relation https://www.medgen-journal.ru/jour/article/view/1940/1495
Möller H.J. Suicide, suicidality and suicide prevention in affective disorders. Acta Psychiatrica Scandinavica. 2003; 108(s418):73-80.
McKenna M. et al. Assessing the Burden of Disease in the United States Using Disability-Adjusted Life Years. American Journal of Preventive Medicine. 2005; 28(5): 415-423.
Alegria M. et al. Disparity in Depression Treatment Among Racial and Ethnic Minority Populations in the United States. Psychiatric Services. American Psychiatric Association Publishing. 2008; 59(11): 1264-1272.
González H.M. et al. The epidemiology of major depression and ethnicity in the United States. Journal of Psychiatric Research. 2010; 44(15): 1043-1051.
Williams E.D. et al. Depressive symptoms are doubled in older British South Asian and Black Caribbean people compared with Europeans: Associations with excess co-morbidity and socioeconomic disadvantage. Psychological Medicine. 2015; 45(9): 1861-1871.
Haverkamp G.L.G. et al. Psychological distress in the hospital setting: A comparison between native Dutch and immigrant patients. PLoS ONE. 2015; 10(6):e0130961. doi:10.1371/journal.pone.0130961.
Schouten R.W. et al. Ethnic Differences in the Association of Depressive Symptoms with Clinical Outcome in Dialysis Patients. Journal of Racial and Ethnic Health Disparities. 2019; 6(5): 990-1000.
Bigdeli T.B. et al. Genetic effects influencing risk for major depressive disorder in China and Europe. Translational Psychiatry. 2017; 7(3): e1074.
Sullivan P.F. et al. A mega-analysis of genome-wide association studies for major depressive disorder. Molecular Psychiatry. 2013; 18(4): 497-511.
Consortium C. Sparse whole-genome sequencing identifies two loci for major depressive disorder. Nature. 2015; 523(7562): 588-591.
Sullivan P.F., Neale M.C., Kendler K.S. Genetic Epidemiology of Major Depression: Review and Meta-Analysis. American Journal of Psychiatry. 2000; 157(10): 1552-1562.
Eley T.C., Stevenson J. Exploring the Covariation between Anxiety and Depression Symptoms: A Genetic Analysis of the Effects of Age and Sex // Journal of Child Psychology and Psychiatry. 1999; 40(8): 1273-1282.
Muglia P. et al. Genome-wide association study of recurrent major depressive disorder in two European case-control cohorts. Molecular Psychiatry. 2010; 15(6): 589-601.
Millan M.J. Multi-target strategies for the improved treatment of depressive states: Conceptual foundations and neuronal substrates, drug discovery and therapeutic application. Pharmacology and Therapeutics. 2006; 110(2): 135-370.
Nestler E.J. et al. Neurobiology of depression. Neuron. 2002; 34(1): 13-25.
Lacerda-Pinheiro S.F. et al. Are there depression and anxiety genetic markers and mutations? A systematic review. Journal of Affective Disorders. 2014; 168: 387-398.
López-León S. et al. Meta-analyses of genetic studies on major depressive disorder. Molecular Psychiatry. 2008; 13(8): 772-785.
Saavedra K. et al. Epigenetic Modifications of Major Depressive Disorder. International Journal of Molecular Sciences. 2016; 17(8): 1279.
Hattori E. et al. Preliminary genome-wide association study of bipolar disorder in the Japanese population. American journal of medical genetics. Part B, Neuropsychiatric genetics. 2009; 150B(8): 1110-1117.
Kohli M.A. et al. The Neuronal Transporter Gene SLC6A15 Confers Risk to Major Depression. Neuron. 2011; 70(2): 252-265.
Kovanen L., Donner K., Partonen T. SIRT1 polymorphisms associate with seasonal weight variation, depressive disorders, and diastolic blood pressure in the general population. PLoS ONE. 2015$ 10(10): e0141001. doi:10.1371/journal.pone.0141001.
Hyde C.L. et al. Identification of 15 genetic loci associated with risk of major depression in individuals of European descent. Nature genetics. 2016; 48(9):1031-1036.
Wray N.R. et al. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nature Genetics. 2018; 50(5): 668-681.
Tang W. et al. SIRT1 rs3758391 and Major Depressive Disorder: New Data and Meta-Analysis. Neuroscience Bulletin. 2018; 34(5): 863-866.
Zhu Z. et al. Shared genetics of asthma and mental health disorders: a large-scale genome-wide cross-trait analysis. European Respiratory Journal. 2019; 54(6): 1901507.
Aftanas L.I. et al. SIRT1 Allele Frequencies in Depressed Patients of European Descent in Russia. Frontiers in Genetics. 2019; 9, 686.
Leheste J.R., Torres G. Resveratrol: brain effects on SIRT1, GPR50 and photoperiodic signaling. Frontiers in Molecular Neuroscience. 2015; 8:61.
Liu W. et al. The depression GWAS risk allele predicts smaller cerebellar gray matter volume and reduced SIRT1 mRNA expression in Chinese population. Translational Psychiatry. 2019; 9(1):333.
Li C. et al. miR-138 increases depressive-like behaviors by targeting SIRT1 in hippocampus. Neuropsychiatric Disease and Treatment. 2020; 16: 949-957.
Luo X.-J., Zhang C. Down-Regulation of SIRT1 Gene Expression in Major Depressive Disorder. American Journal of Psychiatry. 2016; 173(10): 1046-1046.
Lin R. et al. Common variants in SIRT1 and human longevity in a Chinese population. BMC Medical Genetics. 2016; 17(1): 1-7.
Tagliari C.F. da S. et al. Investigation of SIRT1 gene variants in HIV-associated lipodystrophy and metabolic syndrome. Genetics and Molecular Biology. 2020; 43(1): 1-9.
Clarke T.-K. et al. Investigating shared aetiology between type 2 diabetes and major depressive disorder in a population based cohort. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics. 2017; 174(3): 227-234.
https://www.medgen-journal.ru/jour/article/view/1940
doi:10.25557/2073-7998.2021.06.27-32
op_rights Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Авторы, публикующие статьи в данном журнале, соглашаются на следующее:Авторы сохраняют за собой автороские права и предоставляют журналу право первой публикации работы, которая по истечении 6 месяцев после публикации автоматически лицензируется на условиях Creative Commons Attribution License , которая позволяет другим распространять данную работу с обязательным сохранением ссылок на авторов оригинальной работы и оригинальную публикацию в этом журнале.Авторы имеют право размещать их работу в сети Интернет (например в институтском хранилище или персональном сайте) до и во время процесса рассмотрения ее данным журналом, так как это может привести к продуктивному обсуждению и большему количеству ссылок на данную работу (См. The Effect of Open Access).
op_doi https://doi.org/10.25557/2073-7998.2021.06.27-3210.1371/journal.pone.013096110.1371/journal.pone.0141001
_version_ 1802651065664929792
spelling ftjmedgen:oai:oai.medgen.elpub.ru:article/1940 2024-06-23T07:57:26+00:00 Structural features of the gene SIRT1 in residents of the Siberian region Структурные особенности гена SIRT1 у жителей сибирского региона D. A. Berdyugina A. N. Savostyanov D. V. Bazovkina S. P. Kovalenko L. I. Aftanas Д. А. Бердюгина А. Н. Савостьянов Д. В. Базовкина С. П. Коваленко Л. И. Афтанас 2021-10-28 application/pdf https://www.medgen-journal.ru/jour/article/view/1940 https://doi.org/10.25557/2073-7998.2021.06.27-32 rus rus Publishing House «Genius Media» LLC https://www.medgen-journal.ru/jour/article/view/1940/1495 Möller H.J. Suicide, suicidality and suicide prevention in affective disorders. Acta Psychiatrica Scandinavica. 2003; 108(s418):73-80. McKenna M. et al. Assessing the Burden of Disease in the United States Using Disability-Adjusted Life Years. American Journal of Preventive Medicine. 2005; 28(5): 415-423. Alegria M. et al. Disparity in Depression Treatment Among Racial and Ethnic Minority Populations in the United States. Psychiatric Services. American Psychiatric Association Publishing. 2008; 59(11): 1264-1272. González H.M. et al. The epidemiology of major depression and ethnicity in the United States. Journal of Psychiatric Research. 2010; 44(15): 1043-1051. Williams E.D. et al. Depressive symptoms are doubled in older British South Asian and Black Caribbean people compared with Europeans: Associations with excess co-morbidity and socioeconomic disadvantage. Psychological Medicine. 2015; 45(9): 1861-1871. Haverkamp G.L.G. et al. Psychological distress in the hospital setting: A comparison between native Dutch and immigrant patients. PLoS ONE. 2015; 10(6):e0130961. doi:10.1371/journal.pone.0130961. Schouten R.W. et al. Ethnic Differences in the Association of Depressive Symptoms with Clinical Outcome in Dialysis Patients. Journal of Racial and Ethnic Health Disparities. 2019; 6(5): 990-1000. Bigdeli T.B. et al. Genetic effects influencing risk for major depressive disorder in China and Europe. Translational Psychiatry. 2017; 7(3): e1074. Sullivan P.F. et al. A mega-analysis of genome-wide association studies for major depressive disorder. Molecular Psychiatry. 2013; 18(4): 497-511. Consortium C. Sparse whole-genome sequencing identifies two loci for major depressive disorder. Nature. 2015; 523(7562): 588-591. Sullivan P.F., Neale M.C., Kendler K.S. Genetic Epidemiology of Major Depression: Review and Meta-Analysis. American Journal of Psychiatry. 2000; 157(10): 1552-1562. Eley T.C., Stevenson J. Exploring the Covariation between Anxiety and Depression Symptoms: A Genetic Analysis of the Effects of Age and Sex // Journal of Child Psychology and Psychiatry. 1999; 40(8): 1273-1282. Muglia P. et al. Genome-wide association study of recurrent major depressive disorder in two European case-control cohorts. Molecular Psychiatry. 2010; 15(6): 589-601. Millan M.J. Multi-target strategies for the improved treatment of depressive states: Conceptual foundations and neuronal substrates, drug discovery and therapeutic application. Pharmacology and Therapeutics. 2006; 110(2): 135-370. Nestler E.J. et al. Neurobiology of depression. Neuron. 2002; 34(1): 13-25. Lacerda-Pinheiro S.F. et al. Are there depression and anxiety genetic markers and mutations? A systematic review. Journal of Affective Disorders. 2014; 168: 387-398. López-León S. et al. Meta-analyses of genetic studies on major depressive disorder. Molecular Psychiatry. 2008; 13(8): 772-785. Saavedra K. et al. Epigenetic Modifications of Major Depressive Disorder. International Journal of Molecular Sciences. 2016; 17(8): 1279. Hattori E. et al. Preliminary genome-wide association study of bipolar disorder in the Japanese population. American journal of medical genetics. Part B, Neuropsychiatric genetics. 2009; 150B(8): 1110-1117. Kohli M.A. et al. The Neuronal Transporter Gene SLC6A15 Confers Risk to Major Depression. Neuron. 2011; 70(2): 252-265. Kovanen L., Donner K., Partonen T. SIRT1 polymorphisms associate with seasonal weight variation, depressive disorders, and diastolic blood pressure in the general population. PLoS ONE. 2015$ 10(10): e0141001. doi:10.1371/journal.pone.0141001. Hyde C.L. et al. Identification of 15 genetic loci associated with risk of major depression in individuals of European descent. Nature genetics. 2016; 48(9):1031-1036. Wray N.R. et al. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nature Genetics. 2018; 50(5): 668-681. Tang W. et al. SIRT1 rs3758391 and Major Depressive Disorder: New Data and Meta-Analysis. Neuroscience Bulletin. 2018; 34(5): 863-866. Zhu Z. et al. Shared genetics of asthma and mental health disorders: a large-scale genome-wide cross-trait analysis. European Respiratory Journal. 2019; 54(6): 1901507. Aftanas L.I. et al. SIRT1 Allele Frequencies in Depressed Patients of European Descent in Russia. Frontiers in Genetics. 2019; 9, 686. Leheste J.R., Torres G. Resveratrol: brain effects on SIRT1, GPR50 and photoperiodic signaling. Frontiers in Molecular Neuroscience. 2015; 8:61. Liu W. et al. The depression GWAS risk allele predicts smaller cerebellar gray matter volume and reduced SIRT1 mRNA expression in Chinese population. Translational Psychiatry. 2019; 9(1):333. Li C. et al. miR-138 increases depressive-like behaviors by targeting SIRT1 in hippocampus. Neuropsychiatric Disease and Treatment. 2020; 16: 949-957. Luo X.-J., Zhang C. Down-Regulation of SIRT1 Gene Expression in Major Depressive Disorder. American Journal of Psychiatry. 2016; 173(10): 1046-1046. Lin R. et al. Common variants in SIRT1 and human longevity in a Chinese population. BMC Medical Genetics. 2016; 17(1): 1-7. Tagliari C.F. da S. et al. Investigation of SIRT1 gene variants in HIV-associated lipodystrophy and metabolic syndrome. Genetics and Molecular Biology. 2020; 43(1): 1-9. Clarke T.-K. et al. Investigating shared aetiology between type 2 diabetes and major depressive disorder in a population based cohort. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics. 2017; 174(3): 227-234. https://www.medgen-journal.ru/jour/article/view/1940 doi:10.25557/2073-7998.2021.06.27-32 Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). Авторы, публикующие статьи в данном журнале, соглашаются на следующее:Авторы сохраняют за собой автороские права и предоставляют журналу право первой публикации работы, которая по истечении 6 месяцев после публикации автоматически лицензируется на условиях Creative Commons Attribution License , которая позволяет другим распространять данную работу с обязательным сохранением ссылок на авторов оригинальной работы и оригинальную публикацию в этом журнале.Авторы имеют право размещать их работу в сети Интернет (например в институтском хранилище или персональном сайте) до и во время процесса рассмотрения ее данным журналом, так как это может привести к продуктивному обсуждению и большему количеству ссылок на данную работу (См. The Effect of Open Access). Medical Genetics; Том 20, № 6 (2021); 27-32 Медицинская генетика; Том 20, № 6 (2021); 27-32 2073-7998 таргетное секвенирование major depressive disorder Yakuts Tuvans targeted sequencing большое депрессивное расстройство якуты тувинцы info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2021 ftjmedgen https://doi.org/10.25557/2073-7998.2021.06.27-3210.1371/journal.pone.013096110.1371/journal.pone.0141001 2024-05-24T03:04:42Z Depression is a multifactorial mental disorder that is one of the main causes of disability and leads to suicide in 15% of cases. An active search for the genetic component of depression has identified a number of candidate genes that correlate with depression. Recent studies have demonstrated the association of a number of polymorphic variants of the SIRT1 gene with depression. At the same time, the specificity of the distribution of polymorphic variants in the SIRT1 gene among different populations remains unexplored, which may be significant in the analysis of associations. We have studied the structure of the coding part of the SIRT1 gene in the populations of Yakuts, Tuvans, and residents of Novosibirsk. Depending on the ethnic group, there was a change in the frequency of occurrence of polymorphic variants. Депрессия - многофакторное психическое расстройство, являющееся одной из основных причин инвалидности и приводящее к самоубийству в 15% случаев. Активный поиск генетической компоненты депрессии выявил ряд генов-кандидатов, ассоциированных с депрессией. Недавние исследования продемонстрировали ассоциацию ряда полиморфных вариантов гена SIRT1 с депрессией. В то же время остается неизученной специфика распределения полиморфных вариантов в гене SIRT1 в различных популяциях, что может быть существенным при анализе ассоциаций. Нами была изучена структура кодирующей часть гена SIRT1 в популяциях якутов, тувинцев и жителей Новосибирска. В зависимости от этнической группы наблюдалось изменение частот встречаемости полиморфных вариантов. Article in Journal/Newspaper Yakuts Medical Genetics

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