0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Gene-Based Association Analysis Suggests Association of HTR2A With Antidepressant Treatment Response in Depressed Patients

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The serotonin [5-hydroxytryptamine (5-HT)] system has been implicated in the pathogenesis of major depressive disorder (MDD). Among the 5-HT receptor subtypes, 5-HT2 is one of the major pharmacological therapeutic targets for MDD. There have been inconsistent findings in previous pharmacogenetic studies investigating the antidepressant therapeutic response using one or several 5-HT2A ( HTR2A) genetic polymorphisms. By using gene-based association analysis, we hope to identify genetic variants of HTR2A which are related to MDD susceptibility and its antidepressant therapeutic response. 288 HTR2A single nucleotide polymorphisms in MDD susceptibility have been investigated through a case–control (455 MDD patients and 2, 998 healthy controls) study, as well as in antidepressant efficacy ( n = 455) in our current research. The 21-item Hamilton Rating Scale for Depression was used to evaluate measures of antidepressant therapeutic efficacy. From two MDD groups in the antidepressant therapeutic response, by using gene-based analyses, we have identified 14 polymorphisms as suggestive markers for therapeutic response (13 for remission and 1 for response) in both meta- and mega-analyses. All of these HTR2A reported polymorphisms did not reach statistical significance in the case–control association study. This current investigation supported the link between HTR2A variants and antidepressant therapeutic response in MDD but not with MDD susceptibility.

          Related collections

          Most cited references45

          • Record: found
          • Abstract: found
          • Article: not found
          Is Open Access

          Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

          Most studies have some missing data. Jonathan Sterne and colleagues describe the appropriate use and reporting of the multiple imputation approach to dealing with them
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found

            Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

            Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened risk of suicide. We conducted a genome-wide association (GWA) meta-analysis based in 135,458 cases and 344,901 control, We identified 44 independent and significant loci. The genetic findings were associated with clinical features of major depression, and implicated brain regions exhibiting anatomical differences in cases. Targets of antidepressant medications and genes involved in gene splicing were enriched for smaller association signal. We found important relations of genetic risk for major depression with educational attainment, body mass, and schizophrenia: lower educational attainment and higher body mass were putatively causal whereas major depression and schizophrenia reflected a partly shared biological etiology. All humans carry lesser or greater numbers of genetic risk factors for major depression. These findings help refine and define the basis of major depression and imply a continuous measure of risk underlies the clinical phenotype.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

              Major depression is a debilitating psychiatric illness that is typically associated with low mood and anhedonia. Depression has a heritable component that has remained difficult to elucidate with current sample sizes due to the polygenic nature of the disorder. To maximize sample size, we meta-analyzed data on 807,553 individuals (246,363 cases and 561,190 controls) from the three largest genome-wide association studies of depression. We identified 102 independent variants, 269 genes, and 15 genesets associated with depression, including both genes and gene pathways associated with synaptic structure and neurotransmission. An enrichment analysis provided further evidence of the importance of prefrontal brain regions. In an independent replication sample of 1,306,354 individuals (414,055 cases and 892,299 controls), 87 of the 102 associated variants were significant after multiple testing correction. These findings advance our understanding of the complex genetic architecture of depression and provide several future avenues for understanding etiology and developing new treatment approaches.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Pharmacol
                Front Pharmacol
                Front. Pharmacol.
                Frontiers in Pharmacology
                Frontiers Media S.A.
                1663-9812
                03 December 2020
                2020
                : 11
                : 559601
                Affiliations
                [ 1 ]Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
                [ 2 ]Advanced Plant Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
                [ 3 ]Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
                [ 4 ]Department of Public Health, National Taiwan University, Taipei, Taiwan
                [ 5 ]Yu’s Psychiatric Clinic, Kaohsiung, Taiwan
                [ 6 ]Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
                [ 7 ]Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
                [ 8 ]Brain Medicine Center, Taoyuan Psychiatric Center, Taoyuan City, Taiwan
                [ 9 ]Department of Biostatistics, University of Washington, Seattle, WA, United States
                [ 10 ]Department of Electrical & Computer Engineering, University of Washington, Seattle, WA, United States
                [ 11 ]Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan
                [ 12 ]Center for Neuropsychiatric Research, National Health Research Institutes, Zhunan Town, Taiwan
                [ 13 ]Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
                [ 14 ]Division of Psychiatry, National Yang‐Ming University, Taipei, Taiwan
                Author notes

                Edited by: Chonlaphat Sukasem, Mahidol University, Thailand

                Reviewed by: Yong Xu, First Hospital of Shanxi Medical University, China

                Natchaya Vanwong, Chulalongkorn University, Thailand

                *Correspondence: Yu-Li Liu, ylliou@ 123456nhri.org.tw ; Shih-Jen Tsai, tsai610913@ 123456gmail.com

                This article was submitted to Pharmacogenetics and Pharmacogenomics, a section of the journal Frontiers in Pharmacology

                Article
                559601
                10.3389/fphar.2020.559601
                7845659
                33519430
                afc3860c-edd4-4211-a7f8-6ffd59cac2e4
                Copyright © 2020 Kao, Kuo, Yu, Yang, Lin, Liu and Tsai.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 02 June 2020
                : 08 October 2020
                Page count
                Pages: 0
                Funding
                Funded by: Ministry of Science and Technology, Taiwan 10.13039/501100004663
                Award ID: MOST 103-2314-B-075-067-MY3
                Award ID: MOST 355 107-2313-B-005-046
                Funded by: Taipei Veterans General Hospital 10.13039/501100011912
                Award ID: VGHUST103-G1-4-1
                Categories
                Pharmacology
                Original Research

                Pharmacology & Pharmaceutical medicine
                gene-based analysis,major depressive disorders,antidepressant,5-hydroxytryptamine receptor 2a,single nucleotide polymorphism

                Comments

                Comment on this article