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Zhang L, Wang W, Xu C, Duan H, Tian X, Zhang D. Potential genetic biomarkers are found to be associated with both cognitive function and blood pressure: a bivariate genome-wide association analysis. Mech Ageing Dev 2022; 204:111671. [PMID: 35364053 DOI: 10.1016/j.mad.2022.111671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 03/17/2022] [Accepted: 03/25/2022] [Indexed: 11/15/2022]
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2
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Barki M, Xue H. GABRB2, a key player in neuropsychiatric disorders and beyond. Gene 2022; 809:146021. [PMID: 34673206 DOI: 10.1016/j.gene.2021.146021] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 08/05/2021] [Accepted: 09/14/2021] [Indexed: 01/11/2023]
Abstract
The GABA receptors represent the main inhibitory system in the central nervous system that ensure synaptogenesis, neurogenesis, and the regulation of neuronal plasticity and learning. GABAA receptors are pentameric in structure and belong to the Cys-loop superfamily. The GABRB2 gene, located on chromosome 5q34, encodes the β2 subunit that combines with the α and γ subunits to form the major subtype of GABAA receptors, which account for 43% of all GABAA receptors in the mammalian brain. Each subunit probably consists of an extracellular N-terminal domain, four membrane-spanning segments, a large intracellular loop between TM3 and TM4, and an extracellular C-terminal domain. Alternative splicing of the RNA transcript of the GABRB2 gene gives rise at least to four long and short isoforms with dissimilar electrophysiological properties. Furthermore, GABRB2 is imprinted and subjected to epigenetic regulation and positive selection. It has been associated with schizophrenia first in Han Chinese, and subsequently validated in other populations. Gabrb2 knockout mice also exhibited schizophrenia-like behavior and neuroinflammation that were ameliorated by the antipsychotic drug risperidone. GABRB2 was also associated with other neuropsychiatric disorders including bipolar disorder, epilepsy, autism spectrum disorder, Alzheimer's disease, frontotemporal dementia, substance dependence, depression, internet gaming disorder, and premenstrual dysphoric disorder. Recently, it has been postulated that GABRB2 might be a potential marker for different cancer types. As GABRB2 has a pivotal role in the central nervous system and is increasingly recognized to contribute to human diseases, further understanding of its structure and function may expedite the generation of new therapeutic approaches.
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Affiliation(s)
- Manel Barki
- Center for Cancer Genomics, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Hong Xue
- Center for Cancer Genomics, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, China; Division of Life Science and Applied Genomics Center, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China.
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3
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Xue H, Wu Z, Long X, Ullah A, Chen S, Mat WK, Sun P, Gao MZ, Wang JQ, Wang HJ, Li X, Sun WJ, Qiao MQ. Copy number variation profile-based genomic typing of premenstrual dysphoric disorder in Chinese. J Genet Genomics 2021; 48:1070-1080. [PMID: 34530168 DOI: 10.1016/j.jgg.2021.08.012] [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: 03/10/2021] [Revised: 08/13/2021] [Accepted: 08/13/2021] [Indexed: 11/16/2022]
Abstract
Premenstrual dysphoric disorder (PMDD) affects nearly 5% women of reproductive age. Symptomatic heterogeneity, together with largely unknown genetics, have greatly hindered its effective treatment. In the present study, analysis of genomic sequencing-based copy-number-variations (CNVs) called from 100-kb white blood cell DNA sequence windows by means of semi-supervised clustering led to the segregation of patient genomes into the D and V groups, which correlated with the depression and invasion clinical types respectively with 89.0% consistency. Application of diagnostic CNV features selected using the correlation-based machine-learning method enabled the classification of the CNVs obtained into the D group, V group, total-patient group and control group with an average accuracy of 83.0%. The power of the diagnostic CNV features was 0.98 on average, suggesting that these CNV features could be employed for the molecular diagnosis of the major clinical types of PMDD. This demonstrated concordnce between the CNV profiles and clinical types of PMDD supported the validity of symptom-based diagnosis of PMDD for differentiating between its two major clinical types, as well as the predominanly genetic nature of PMDD with a host of overlaps between multiple susceptibility genes/pathways and the diagnostic CNV features as indicators of involvement in PMDD etiology.
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Affiliation(s)
- Hong Xue
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China; Division of Life Science and Applied Genomics Center, Hong Kong University of Science and Technology, Hong Kong, China; School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, 210009, China; HKUST Shenzhen Research Institute, 9 Yuexing First Road, Nanshan, Shenzhen, China; Guangzhou HKUST Fok Ying Tung Research Institute, Science and Technology Building, Nansha Information Technology Park, Nansha, Guangzhou, 511458, China.
| | - Zhenggang Wu
- Division of Life Science and Applied Genomics Center, Hong Kong University of Science and Technology, Hong Kong, China; School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, 210009, China; HKUST Shenzhen Research Institute, 9 Yuexing First Road, Nanshan, Shenzhen, China; Guangzhou HKUST Fok Ying Tung Research Institute, Science and Technology Building, Nansha Information Technology Park, Nansha, Guangzhou, 511458, China
| | - Xi Long
- Division of Life Science and Applied Genomics Center, Hong Kong University of Science and Technology, Hong Kong, China; School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, 210009, China; HKUST Shenzhen Research Institute, 9 Yuexing First Road, Nanshan, Shenzhen, China; Guangzhou HKUST Fok Ying Tung Research Institute, Science and Technology Building, Nansha Information Technology Park, Nansha, Guangzhou, 511458, China
| | - Ata Ullah
- Division of Life Science and Applied Genomics Center, Hong Kong University of Science and Technology, Hong Kong, China
| | - Si Chen
- Division of Life Science and Applied Genomics Center, Hong Kong University of Science and Technology, Hong Kong, China
| | - Wai-Kin Mat
- Division of Life Science and Applied Genomics Center, Hong Kong University of Science and Technology, Hong Kong, China
| | - Peng Sun
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
| | - Ming-Zhou Gao
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
| | - Jie-Qiong Wang
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
| | - Hai-Jun Wang
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
| | - Xia Li
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
| | - Wen-Jun Sun
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
| | - Ming-Qi Qiao
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China.
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4
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Falker-Gieske C, Iffland H, Preuß S, Bessei W, Drögemüller C, Bennewitz J, Tetens J. Meta-analyses of genome wide association studies in lines of laying hens divergently selected for feather pecking using imputed sequence level genotypes. BMC Genet 2020; 21:114. [PMID: 33004014 PMCID: PMC7528462 DOI: 10.1186/s12863-020-00920-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 09/22/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Feather pecking (FP) is damaging behavior in laying hens leading to global economic losses in the layer industry and massive impairments of animal welfare. The objective of the study was to discover genetic variants and affected genes that lead to FP behavior. To achieve that we imputed low-density genotypes from two different populations of layers divergently selected for FP to sequence level by performing whole genome sequencing on founder and half-sib individuals. In order to decipher the genetic structure of FP, genome wide association studies and meta-analyses of two resource populations were carried out by focusing on the traits 'feather pecks delivered' (FPD) and the 'posterior probability of a hen to belong to the extreme feather pecking subgroup' (pEFP). RESULTS In this meta-analysis, we discovered numerous genes that are affected by polymorphisms significantly associated with the trait FPD. Among them SPATS2L, ZEB2, KCHN8, and MRPL13 which have been previously connected to psychiatric disorders with the latter two being responsive to nicotine treatment. Gene set enrichment analysis revealed that phosphatidylinositol signaling is affected by genes identified in the GWAS and that the Golgi apparatus as well as brain structure may be involved in the development of a FP phenotype. Further, we were able to validate a previously discovered QTL for the trait pEFP on GGA1, which contains variants affecting NIPA1, KIAA1211L, AFF3, and TSGA10. CONCLUSIONS We provide evidence for the involvement of numerous genes in the propensity to exhibit FP behavior that could aid in the selection against this unwanted trait. Furthermore, we identified variants that are involved in phosphatidylinositol signaling, Golgi metabolism and cell structure and therefore propose changes in brain structure to be an influential factor in FP, as already described in human neuropsychiatric disorders.
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Affiliation(s)
- Clemens Falker-Gieske
- Department of Animal Sciences, Georg-August-University, Burckhardtweg 2, 37077, Göttingen, Germany.
| | - Hanna Iffland
- Institute of Animal Science, University of Hohenheim, Garbenstr. 17, 70599, Stuttgart, Germany
| | - Siegfried Preuß
- Institute of Animal Science, University of Hohenheim, Garbenstr. 17, 70599, Stuttgart, Germany
| | - Werner Bessei
- Institute of Animal Science, University of Hohenheim, Garbenstr. 17, 70599, Stuttgart, Germany
| | - Cord Drögemüller
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bremgartenstr. 109a, 3001, Bern, Switzerland
| | - Jörn Bennewitz
- Institute of Animal Science, University of Hohenheim, Garbenstr. 17, 70599, Stuttgart, Germany
| | - Jens Tetens
- Department of Animal Sciences, Georg-August-University, Burckhardtweg 2, 37077, Göttingen, Germany
- Center for Integrated Breeding Research, Georg-August-University, Albrecht-Thaer-Weg 3, 37075, Göttingen, Germany
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Barlati S, Minelli A, Ceraso A, Nibbio G, Carvalho Silva R, Deste G, Turrina C, Vita A. Social Cognition in a Research Domain Criteria Perspective: A Bridge Between Schizophrenia and Autism Spectra Disorders. Front Psychiatry 2020; 11:806. [PMID: 33005149 PMCID: PMC7485015 DOI: 10.3389/fpsyt.2020.00806] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 07/27/2020] [Indexed: 12/27/2022] Open
Abstract
Schizophrenia and autism spectra disorders are currently conceptualized as distinct clinical categories. However, the relationship between these two nosological entities has been revisited in recent years due to the evidence that they share some important clinical and neurobiological features, putting into question the nature and the extent of their commonalities and differences. In this respect, some core symptoms that are present in both disorders, such as social cognitive deficits, could be a primary target of investigation. This review briefly summarizes the commonalities and overlapping features between schizophrenia and autism spectra disorders in social cognitive functions, considering this construct in a Research Domain Criteria perspective. The clinical manifestation of deficits in social cognition are similar in schizophrenia spectrum disorders and autism spectrum disorders, and brain areas that appear to be altered in relation to these impairments are largely shared; however, the results of various studies suggest that, in some cases, the qualitative nature of these alterations may be different in the two spectra. Moreover, relevant differences could be present at the level of brain networks and connections. More research is required in this field, regarding molecular and genetic aspects of both spectra, to better define the neurobiological mechanisms involved in social cognition deficits, with the objective of developing specific and targeted treatments.
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Affiliation(s)
- Stefano Barlati
- Department of Clinical and Experimental Sciences, University of Brescia, and Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
- Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Alessandra Minelli
- Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Anna Ceraso
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Gabriele Nibbio
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Rosana Carvalho Silva
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Giacomo Deste
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Cesare Turrina
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Antonio Vita
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
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6
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Ullah A, Long X, Mat WK, Hu T, Khan MI, Hui L, Zhang X, Sun P, Gao M, Wang J, Wang H, Li X, Sun W, Qiao M, Xue H. Highly Recurrent Copy Number Variations in GABRB2 Associated With Schizophrenia and Premenstrual Dysphoric Disorder. Front Psychiatry 2020; 11:572. [PMID: 32695026 PMCID: PMC7338560 DOI: 10.3389/fpsyt.2020.00572] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 06/03/2020] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVE Although single-nucleotide polymorphisms in GABRB2, the gene encoding for GABAA receptors β2 subunit, have been associated with schizophrenia (SCZ), it is unknown whether there is any association of copy number variations (CNVs) in this gene with either SCZ or premenstrual dysphoric disorder (PMDD). METHODS In this study, the occurrences of the recurrent CNVs esv2730987 in Intron 6 and nsv1177513 in Exon 11 of GABRB2 in Chinese and German SCZ, and Chinese PMDD patients were compared to controls of same ethnicity and gender by quantitative PCR (qPCR). RESULTS The results demonstrated that copy-number-gains were enriched in both SCZ and PMDD patients with significant odds ratios (OR). For combined-gender SCZ patients versus controls, about two-fold increases were observed in both ethnic groups at both esv2730987 (OR = 2.15, p = 5.32E-4 in Chinese group; OR = 2.79, p = 8.84E-3 in German group) and nsv1177513 (OR = 3.29, p = 1.28E-11 in Chinese group; OR = 2.44, p = 6.17E-5 in German group). The most significant copy-number-gains were observed in Chinese females at nsv1177513 (OR = 3.41), and German females at esv2730987 (OR=3.96). Copy-number-gains were also enriched in Chinese PMDD patients versus controls at esv2730987 (OR = 10.53, p = 4.34E-26) and nsv1177513 (OR = 2.39, p = 3.19E-5). CONCLUSION These findings established for the first time the association of highly recurrent CNVs with SCZ and PMDD, suggesting the presence of an overlapping genetic basis with shared biomarkers for these two common psychiatric disorders.
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Affiliation(s)
- Ata Ullah
- Applied Genomics Center and State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Division of Life Science, Hong Kong, Hong Kong
| | - Xi Long
- Applied Genomics Center and State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Division of Life Science, Hong Kong, Hong Kong
| | - Wai-Kin Mat
- Applied Genomics Center and State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Division of Life Science, Hong Kong, Hong Kong
| | - Taobo Hu
- Applied Genomics Center and State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Division of Life Science, Hong Kong, Hong Kong
| | - Muhammad Ismail Khan
- Applied Genomics Center and State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Division of Life Science, Hong Kong, Hong Kong
| | - Li Hui
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiangyang Zhang
- Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Peng Sun
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Mingzhou Gao
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jieqiong Wang
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Haijun Wang
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xia Li
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Wenjun Sun
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Mingqi Qiao
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Hong Xue
- Applied Genomics Center and State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Division of Life Science, Hong Kong, Hong Kong
- School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
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7
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The association of GABRB2 SNPs with cognitive function in schizophrenia. Eur Arch Psychiatry Clin Neurosci 2020; 270:443-449. [PMID: 30706170 DOI: 10.1007/s00406-019-00985-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 01/09/2019] [Indexed: 12/21/2022]
Abstract
Cognitive impairment is one of the core symptoms of schizophrenia. Multiple domains of cognition are affected in patients with schizophrenia, which has a major effect on the functional outcome. Recent studies indicate that SNPs in the gamma-aminobutyric acid type A receptor beta 2 subunit (GABRB2) gene are associated with the risk of schizophrenia, however, the effect of these SNPs on cognitive function in patients with schizophrenia has not been explored. In this study, we first performed a case-control analysis of three SNPs (rs187269 allele A vs. G, rs252944 allele C vs. G, and rs194072 allele A vs. G) in 100 patients and 90 controls, then conducted a meta-analysis and found the SNP rs194072 was associated with schizophrenia (OR = 0.86, P = 0.0119), and survived after Bonferroni correction. The haplotype analysis suggested that the haplotype ACA, comprising the three SNPs (rs187269, rs252944 and rs194072) was also significantly associated with schizophrenia (P = 0.049).Then, we performed an association analysis of three SNPs (rs187269, rs252944 and rs194072) in GABRB2 gene with cognitive performance in patients with first episode schizophrenia. We found that the allele G of rs187269 in the GABRB2 gene was significantly associated with better cognitive flexibility (P = 0.005), a major aspect of executive function, in patients with first episode schizophrenia. The haplotype ACA was significantly associated with cognitive flexibility in patients with schizophrenia (P = 0.023). Our study showed that SNPs in GABRB2 may have a significant effect on cognitive function in patients with schizophrenia, suggesting that modulating GABRB2 may have therapeutic potential to improve cognitive function of patients with schizophrenia.
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Grzegorzewski P, Kulesza M, Pluta A, Iqbal Z, Kucharska K. Assessing self-reported empathy and altruism in patients suffering from enduring borderline personality disorder. Psychiatry Res 2019; 273:798-807. [PMID: 30819534 DOI: 10.1016/j.psychres.2018.12.109] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 12/19/2018] [Accepted: 12/20/2018] [Indexed: 11/29/2022]
Abstract
Self-report studies on empathy in adults with borderline personality disorder (BPD) have based upon the Interpersonal Reactivity Index (IRI) and generally identified deficits in perspective taking abilities in this group, but indicated less coherent results regarding empathic concern. These two constructs are considered subcomponents of cognitive (CE) and affective empathy (AE), respectively. However, the IRI does not enable for valid investigation of overall levels of these empathy types. Surprisingly, although some findings from the general population suggest that empathy types may be positively related to altruism, neither this link nor general altruism have been examined in BPD. Additionally, these constructs have not been sufficiently studied in this group in the context of alexithymia or potential clinical confounders. Hence, women with BPD (N = 30) and healthy women (N = 38) completed, i.a., the Questionnaire of Cognitive and Affective Empathy, Self-Report Altruism Scale, TAS-20, STAI, and CESD-R. Patients with BPD reported significantly decreased overall CE (including worse online simulation abilities - conceptually similar to perspective taking from the IRI), but a similar level of overall AE. They also demonstrated lower altruism. Taken together, these results suggest that BPD patients have difficulties with imagining what emotions others are feeling and with altruistic responding to their needs.
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Affiliation(s)
- Piotr Grzegorzewski
- Department of Neuroses, Personality Disorders, and Eating Disorders, Institute of Psychiatry and Neurology, 9 Sobieskiego Street, 02-957 Warsaw, Poland
| | - Maria Kulesza
- Laboratory of Brain Imaging, Neurobiology Center, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | | | - Zaffer Iqbal
- NAViGO Health Care and Social Care CIC, Grimsby, United Kingdom; Faculty of Health Sciences, University of Hull, Hull, United Kingdom
| | - Katarzyna Kucharska
- Department of Neuroses, Personality Disorders, and Eating Disorders, Institute of Psychiatry and Neurology, 9 Sobieskiego Street, 02-957 Warsaw, Poland.
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9
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Crespi BJ. Autism, psychosis, and genomic imprinting: recent discoveries and conundrums. Curr Opin Behav Sci 2019. [DOI: 10.1016/j.cobeha.2018.05.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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10
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Interactive effects of OXTR and GAD1 on envy-associated behaviors and neural responses. PLoS One 2019; 14:e0210493. [PMID: 30633779 PMCID: PMC6329522 DOI: 10.1371/journal.pone.0210493] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 12/23/2018] [Indexed: 12/26/2022] Open
Abstract
Inequity aversion (negative feelings induced by outcome differences between the self and other) plays a key role in human social behaviors. The neurotransmitters oxytocin and GABA have been implicated in neural responses to inequity. However, it remains poorly understood not only how individual genetic factors related to oxytocin and GABA affect the neural mechanisms behind inequity aversion, but also how these genes interact. To address these issues, we examined relationships between genotypes, behavioral decisions and brain activities during the ultimatum game. We identified interactive effects between the polymorphisms of the oxytocin receptor gene (OXTR) and glutamate decarboxylase 1 gene for GABA synthesis (GAD1) on envy aversion (i.e., disadvantageous inequity aversion) and on envy-induced activity in the dorsal ACC (dACC). Thus, our integrated approach suggested interactive genetic effects between OXTR and GAD1 on envy aversion and the underlying neural substrates.
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11
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Marinho V, Oliveira T, Bandeira J, Pinto GR, Gomes A, Lima V, Magalhães F, Rocha K, Ayres C, Carvalho V, Velasques B, Ribeiro P, Orsini M, Bastos VH, Gupta D, Teixeira S. Genetic influence alters the brain synchronism in perception and timing. J Biomed Sci 2018; 25:61. [PMID: 30086746 PMCID: PMC6080374 DOI: 10.1186/s12929-018-0463-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Accepted: 07/31/2018] [Indexed: 12/19/2022] Open
Abstract
Background Studies at the molecular level aim to integrate genetic and neurobiological data to provide an increasingly detailed understanding of phenotypes related to the ability in time perception. Main Text This study suggests that the polymorphisms genetic SLC6A4 5-HTTLPR, 5HTR2A T102C, DRD2/ANKK1-Taq1A, SLC6A3 3’-UTR VNTR, COMT Val158Met, CLOCK genes and GABRB2 A/C as modification factor at neurochemical levels associated with several neurofunctional aspects, modifying the circadian rhythm and built-in cognitive functions in the timing. We conducted a literature review with 102 studies that met inclusion criteria to synthesize findings on genetic polymorphisms and their influence on the timing. Conclusion The findings suggest an association of genetic polymorphisms on behavioral aspects related in timing. However, order to confirm the paradigm of association in the timing as a function of the molecular level, still need to be addressed future research.
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Affiliation(s)
- Victor Marinho
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil. .,Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil. .,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil.
| | - Thomaz Oliveira
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Juliete Bandeira
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil
| | - Giovanny R Pinto
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Anderson Gomes
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Valéria Lima
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Francisco Magalhães
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Kaline Rocha
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Carla Ayres
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil
| | - Valécia Carvalho
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Bruna Velasques
- Brain Mapping and Sensory Motor Integration Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Pedro Ribeiro
- Brain Mapping and Sensory Motor Integration Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marco Orsini
- Master's Program in Local Development Program, University Center Augusto Motta - UNISUAM, Rio de Janeiro, Brazil and Health Sciences Applied - Vassouras University, Rio de Janeiro, Brazil
| | - Victor Hugo Bastos
- Brain Mapping and Functionality Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Daya Gupta
- Department of Biology, Camden County College, Blackwood, NJ, USA
| | - Silmar Teixeira
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
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12
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Gabrb2-knockout mice displayed schizophrenia-like and comorbid phenotypes with interneuron-astrocyte-microglia dysregulation. Transl Psychiatry 2018; 8:128. [PMID: 30013074 PMCID: PMC6048160 DOI: 10.1038/s41398-018-0176-9] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 04/30/2018] [Accepted: 06/04/2018] [Indexed: 12/05/2022] Open
Abstract
Intronic polymorphisms of the GABAA receptor β2 subunit gene (GABRB2) under adaptive evolution were associated with schizophrenia and reduced expression, especially of the long isoform which differs in electrophysiological properties from the short isoform. The present study was directed to examining the gene dosage effects of Gabrb2 in knockout mice of both heterozygous (HT) and homozygous (KO) genotypes with respect to possible schizophrenia-like and comorbid phenotypes. The KO mice, and HT mice to a lesser extent, were found to display prepulse inhibition (PPI) deficit, locomotor hyperactivity, stereotypy, sociability impairments, spatial-working and spatial-reference memory deficits, reduced depression and anxiety, and accelerated pentylenetetrazol (PTZ)-induced seizure. In addition, the KO mice were highly susceptible to audiogenic epilepsy. Some of the behavioral phenotypes showed evidence of imprinting, gender effect and amelioration by the antipsychotic risperidone, and the audiogenic epilepsy was inhibited by the antiepileptic diazepam. GABAergic parvalbumin (PV)-positive interneuron dystrophy, astrocyte dystrophy, and extensive microglia activation were observed in the frontotemporal corticolimbic regions, and reduction of newborn neurons was observed in the hippocampus by immunohistochemical staining. The neuroinflammation indicated by microglial activation was accompanied by elevated brain levels of oxidative stress marker malondialdehyde (MDA) and the pro-inflammatory cytokines tumor necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6). These extensive schizophrenia-like and comorbid phenotypes brought about by Gabrb2 knockout, in conjunction with our previous findings on GABRB2 association with schizophrenia, support a pivotal role of GABRB2 in schizophrenia etiology.
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Zhang T, Li J, Yu H, Shi Y, Li Z, Wang L, Wang Z, Lu T, Wang L, Yue W, Zhang D. Meta-analysis of GABRB2 polymorphisms and the risk of schizophrenia combined with GWAS data of the Han Chinese population and psychiatric genomics consortium. PLoS One 2018; 13:e0198690. [PMID: 29894498 PMCID: PMC5997335 DOI: 10.1371/journal.pone.0198690] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2018] [Accepted: 05/23/2018] [Indexed: 12/31/2022] Open
Abstract
Schizophrenia (SCZ) is a severe psychiatric disorder with evidence of a strong genetic component in the complex etiologies. Some studies indicated that gamma-aminobutyric acid (GABA)A receptor β2 subunit gene (GABRB2) was associated with SCZ. Other studies reported a negative association. Moreover, the results of two previous meta-analyses of GABRB2 with SCZ were inconsistent and the sample sizes were limited. Therefore, an updated meta-analysis combined with genome-wide association study (GWAS) data of the Han Chinese population and Psychiatric Genomics Consortium (PGC) was performed. Available case–control and family-based genetic data were extracted from association studies, and the GWAS data were included. The findings showed no association between six single-nucleotide polymorphisms of GABRB2 (rs6556547, rs1816071, rs1816072, rs194072, rs252944, and rs187269) and SCZ in a total of 51,491 patients and 74,667 controls. The ethnic subgroup analysis revealed no significant association in Asian populations. Since the PGC data of SCZ (SCZ-PGC, 2014) contained 3 studies of Asian populations (1866 patients and 3418 controls), only the data of European samples in SCZ-PGC were used for the meta-analysis of the Caucasian population in the present study. The result still showed no association in the Caucasian population. In conclusion, the present meta-analysis on combined data from GWASs of the Han Chinese population and PGC suggested that GABRB2 polymorphisms might not be associated with SCZ.
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Affiliation(s)
- Tian Zhang
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
- National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), Beijing, China
| | - Jun Li
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
- National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), Beijing, China
| | - Hao Yu
- Department of Psychiatry, Jining Medical University, Jining, Shandong, China
| | - Yongyong Shi
- Affiliated Hospital of Qingdao University and Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
- Institute of Social Cognitive and Behavioral Sciences, Shanghai Jiao Tong University, Shanghai, China
- Institute of Neuropsychiatric Science and Systems Biological Medicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Psychiatry, First Teaching Hospital of Xinjiang Medical University, Urumqi, China
- Changning Mental Health Center, Shanghai, China
| | - Zhiqiang Li
- Affiliated Hospital of Qingdao University and Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
- Institute of Social Cognitive and Behavioral Sciences, Shanghai Jiao Tong University, Shanghai, China
- Institute of Neuropsychiatric Science and Systems Biological Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Linyan Wang
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
- National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), Beijing, China
| | - Ziqi Wang
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
- National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), Beijing, China
| | - Tianlan Lu
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
- National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), Beijing, China
| | - Lifang Wang
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
- National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), Beijing, China
- * E-mail: (LW); (WY); (DZ)
| | - Weihua Yue
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
- National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), Beijing, China
- * E-mail: (LW); (WY); (DZ)
| | - Dai Zhang
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
- National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), Beijing, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
- * E-mail: (LW); (WY); (DZ)
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14
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Xavier RM, Vorderstrasse A. Genetic Basis of Positive and Negative Symptom Domains in Schizophrenia. Biol Res Nurs 2017; 19:559-575. [PMID: 28691507 DOI: 10.1177/1099800417715907] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Schizophrenia is a highly heritable disorder, the genetic etiology of which has been well established. Yet despite significant advances in genetics research, the pathophysiological mechanisms of this disorder largely remain unknown. This gap has been attributed to the complexity of the polygenic disorder, which has a heterogeneous clinical profile. Examining the genetic basis of schizophrenia subphenotypes, such as those based on particular symptoms, is thus a useful strategy for decoding the underlying mechanisms. This review of literature examines the recent advances (from 2011) in genetic exploration of positive and negative symptoms in schizophrenia. We searched electronic databases PubMed, Web of Science, and Cumulative Index to Nursing and Allied Health Literature using key words schizophrenia, symptoms, positive symptoms, negative symptoms, cognition, genetics, genes, genetic predisposition, and genotype in various combinations. We identified 115 articles, which are included in the review. Evidence from these studies, most of which are genetic association studies, identifies shared and unique gene associations for the symptom domains. Genes associated with neurotransmitter systems and neuronal development/maintenance primarily constitute the shared associations. Needed are studies that examine the genetic basis of specific symptoms within the broader domains in addition to functional mechanisms. Such investigations are critical to developing precision treatment and care for individuals afflicted with schizophrenia.
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Affiliation(s)
| | - Allison Vorderstrasse
- 2 Duke Center for Applied Genomics and Precision Medicine, Duke University School of Nursing, Durham, NC, USA
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15
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Ferri F, Nikolova YS, Perrucci MG, Costantini M, Ferretti A, Gatta V, Huang Z, Edden RAE, Yue Q, D’Aurora M, Sibille E, Stuppia L, Romani GL, Northoff G. A Neural "Tuning Curve" for Multisensory Experience and Cognitive-Perceptual Schizotypy. Schizophr Bull 2017; 43:801-813. [PMID: 28168302 PMCID: PMC5472158 DOI: 10.1093/schbul/sbw174] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Our coherent perception of external events is enabled by the integration of inputs from different senses occurring within a range of temporal offsets known as the temporal binding window (TBW), which varies from person to person. A relatively wide TBW may increase the likelihood that stimuli originating from different environmental events are erroneously integrated and abnormally large TBW has been found in psychiatric disorders characterized by unusual perceptual experiences. Despite strong evidence of inter-individual differences in TBW, both within clinical and nonclinical populations, the neurobiological underpinnings of this variability remain unclear. We adopted an integrated strategy linking TBW to temporal dynamics in functional magnetic resonance imaging (fMRI)-resting-state activity and cortical excitation/inhibition (E/I) balance. E/I balance was indexed by glutamate/Gamma-AminoButyric Acid (GABA) concentrations and common variation in glutamate and GABA genes in a healthy sample. Stronger resting-state long-range temporal correlations, indicated by larger power law exponent (PLE), in the auditory cortex, robustly predicted narrower audio-tactile TBW, which was in turn associated with lower cognitive-perceptual schizotypy. Furthermore, PLE was highest and TBW narrowest for individuals with intermediate levels of E/I balance, with shifts towards either extreme resulting in reduced multisensory temporal precision and increased schizotypy, effectively forming a neural "tuning curve" for multisensory experience and schizophrenia risk. Our findings shed light on the neurobiological underpinnings of multisensory integration and its potentially clinically relevant inter-individual variability.
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Affiliation(s)
- Francesca Ferri
- Department of Psychology, University of Essex, Colchester, UK;,Institute of Mental Health Research, Brain and Mind Research Centre, University of Ottawa, Ottawa, ON, Canada;,These authors contributed equally to the article
| | - Yuliya S. Nikolova
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada;,These authors contributed equally to the article
| | - Mauro Gianni Perrucci
- Department of Neuroscience, Imaging and Clinical Science, “G.d’Annunzio” University of Chieti, and ITAB—Institute for Advanced Biomedical Technologies, Chieti, Italy
| | - Marcello Costantini
- Department of Psychology, University of Essex, Colchester, UK;,Department of Neuroscience, Imaging and Clinical Science, “G.d’Annunzio” University of Chieti, and ITAB—Institute for Advanced Biomedical Technologies, Chieti, Italy
| | - Antonio Ferretti
- Department of Neuroscience, Imaging and Clinical Science, “G.d’Annunzio” University of Chieti, and ITAB—Institute for Advanced Biomedical Technologies, Chieti, Italy
| | - Valentina Gatta
- Department of Psychological, Humanities and Territorial Sciences, “G.d’Annunzio” University of Chieti, Chieti, Italy
| | - Zirui Huang
- Institute of Mental Health Research, Brain and Mind Research Centre, University of Ottawa, Ottawa, ON, Canada
| | - Richard A. E. Edden
- Russel H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, Baltimore, MD;,F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD
| | - Qiang Yue
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Marco D’Aurora
- Department of Psychological, Humanities and Territorial Sciences, “G.d’Annunzio” University of Chieti, Chieti, Italy
| | - Etienne Sibille
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada;,Departments of Psychiatry and of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - Liborio Stuppia
- Department of Psychological, Humanities and Territorial Sciences, “G.d’Annunzio” University of Chieti, Chieti, Italy
| | - Gian Luca Romani
- Department of Neuroscience, Imaging and Clinical Science, “G.d’Annunzio” University of Chieti, and ITAB—Institute for Advanced Biomedical Technologies, Chieti, Italy
| | - Georg Northoff
- Institute of Mental Health Research, Brain and Mind Research Centre, University of Ottawa, Ottawa, ON, Canada
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16
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Wang QX, Chen ED, Cai YF, Li Q, Jin YX, Jin WX, Wang YH, Zheng ZC, Xue L, Wang OC, Zhang XH. A panel of four genes accurately differentiates benign from malignant thyroid nodules. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2016; 35:169. [PMID: 27793213 PMCID: PMC5084448 DOI: 10.1186/s13046-016-0447-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Accepted: 10/22/2016] [Indexed: 12/11/2022]
Abstract
Background Clinicians are confronted with an increasing number of patients with thyroid nodules. Reliable preoperative diagnosis of thyroid nodules remains a challenge because of inconclusive cytological examination of fine-needle aspiration biopsies. Although molecular analysis of thyroid tissue has shown promise as a diagnostic tool in recent years, it has not been successfully applied in routine clinical use, particularly in Chinese patients. Methods Whole-transcriptome sequencing of 19 primary papillary thyroid cancer (PTC) samples and matched adjacent normal thyroid tissue (NT) samples were performed. Bioinformatics analysis was carried out to identify candidate diagnostic genes. Then, RT-qPCR was performed to evaluate these candidate genes, and four genes were finally selected. Based on these four genes, diagnostic algorithm was developed (training set: 100 thyroid cancer (TC) and 65 benign thyroid lesions (BTL)) and validated (independent set: 123 TC and 81 BTL) using the support vector machine (SVM) approach. Results We discovered four genes, namely fibronectin 1 (FN1), gamma-aminobutyric acid type A receptor beta 2 subunit (GABRB2), neuronal guanine nucleotide exchange factor (NGEF) and high-mobility group AT-hook 2 (HMGA2). A SVM model with these four genes performed with 97.0 % sensitivity, 93.8 % specificity, 96.0 % positive predictive value (PPV), and 95.3 % negative predictive value (NPV) in training set. For additional independent validation, it also showed good performance (92.7 % sensitivity, 90.1 % specificity, 93.4 % PPV, and 89.0 % NPV). Conclusions Our diagnostic panel can accurately distinguish benign from malignant thyroid nodules using a simple and affordable method, which may have daily clinical application in the near future. Electronic supplementary material The online version of this article (doi:10.1186/s13046-016-0447-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Qing-Xuan Wang
- Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China
| | - En-Dong Chen
- Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China
| | - Ye-Feng Cai
- Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China
| | - Quan Li
- Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China
| | - Yi-Xiang Jin
- Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China
| | - Wen-Xu Jin
- Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China
| | - Ying-Hao Wang
- Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China
| | - Zhou-Ci Zheng
- Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China
| | - Lu Xue
- Department of Otolaryngology Head and Neck Surgery, Xinhua Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, 200000, China
| | - Ou-Chen Wang
- Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China
| | - Xiao-Hua Zhang
- Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China.
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17
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Ng SK, Hu T, Long X, Chan CH, Tsang SY, Xue H. Feature co-localization landscape of the human genome. Sci Rep 2016; 6:20650. [PMID: 26854351 PMCID: PMC4745063 DOI: 10.1038/srep20650] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Accepted: 01/07/2016] [Indexed: 12/11/2022] Open
Abstract
Although feature co-localizations could serve as useful guide-posts to genome architecture, a comprehensive and quantitative feature co-localization map of the human genome has been lacking. Herein we show that, in contrast to the conventional bipartite division of genomic sequences into genic and inter-genic regions, pairwise co-localizations of forty-two genomic features in the twenty-two autosomes based on 50-kb to 2,000-kb sequence windows indicate a tripartite zonal architecture comprising Genic zones enriched with gene-related features and Alu-elements; Proximal zones enriched with MIR- and L2-elements, transcription-factor-binding-sites (TFBSs), and conserved-indels (CIDs); and Distal zones enriched with L1-elements. Co-localizations between single-nucleotide-polymorphisms (SNPs) and copy-number-variations (CNVs) reveal a fraction of sequence windows displaying steeply enhanced levels of SNPs, CNVs and recombination rates that point to active adaptive evolution in such pathways as immune response, sensory perceptions, and cognition. The strongest positive co-localization observed between TFBSs and CIDs suggests a regulatory role of CIDs in cooperation with TFBSs. The positive co-localizations of cancer somatic CNVs (CNVT) with all Proximal zone and most Genic zone features, in contrast to the distinctly more restricted co-localizations exhibited by germline CNVs (CNVG), reveal disparate distributions of CNVTs and CNVGs indicative of dissimilarity in their underlying mechanisms.
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Affiliation(s)
- Siu-Kin Ng
- Division of Life Science, Applied Genomics Center and Center for Statistical Science, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - Taobo Hu
- Division of Life Science, Applied Genomics Center and Center for Statistical Science, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - Xi Long
- Division of Life Science, Applied Genomics Center and Center for Statistical Science, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - Cheuk-Hin Chan
- Division of Life Science, Applied Genomics Center and Center for Statistical Science, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - Shui-Ying Tsang
- Division of Life Science, Applied Genomics Center and Center for Statistical Science, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - Hong Xue
- Division of Life Science, Applied Genomics Center and Center for Statistical Science, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
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Summaries of plenary, symposia, and oral sessions at the XXII World Congress of Psychiatric Genetics, Copenhagen, Denmark, 12-16 October 2014. Psychiatr Genet 2015; 26:1-47. [PMID: 26565519 DOI: 10.1097/ypg.0000000000000112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The XXII World Congress of Psychiatric Genetics, sponsored by the International Society of Psychiatric Genetics, took place in Copenhagen, Denmark, on 12-16 October 2014. A total of 883 participants gathered to discuss the latest findings in the field. The following report was written by student and postdoctoral attendees. Each was assigned one or more sessions as a rapporteur. This manuscript represents topics covered in most, but not all of the oral presentations during the conference, and contains some of the major notable new findings reported.
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Abstract
Intellectual disability, autism spectrum disorder, and epilepsy are prime examples of neurodevelopmental disorders that collectively affect a significant percentage of the world population. Recent technological breakthroughs allowed the elucidation of the genetic causes of many of these disorders. As neurodevelopmental disorders are genetically heterogeneous, the development of rational therapy is extremely challenging. Fortunately, many causative genes are interconnected and cluster in specific cellular pathways. Targeting a common node in such a network would allow us to interfere with a series of related neurodevelopmental disorders at once. Here, we argue that the GABAergic system is disturbed in many neurodevelopmental disorders, including fragile X syndrome, Rett syndrome, and Dravet syndrome, and is a key candidate target for therapeutic intervention. Many drugs that modulate the GABAergic system have already been tested in animal models with encouraging outcomes and are readily available for clinical trials.
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Affiliation(s)
- Sien Braat
- Department of Medical Genetics, University of Antwerp, Prins Boudewijnlaan 43, 2650 Edegem, Belgium
| | - R Frank Kooy
- Department of Medical Genetics, University of Antwerp, Prins Boudewijnlaan 43, 2650 Edegem, Belgium.
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21
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Abstract
We introduce the field of Hamiltonian medicine, which centres on the roles of genetic relatedness in human health and disease. Hamiltonian medicine represents the application of basic social-evolution theory, for interactions involving kinship, to core issues in medicine such as pathogens, cancer, optimal growth and mental illness. It encompasses three domains, which involve conflict and cooperation between: (i) microbes or cancer cells, within humans, (ii) genes expressed in humans, (iii) human individuals. A set of six core principles, based on these domains and their interfaces, serves to conceptually organize the field, and contextualize illustrative examples. The primary usefulness of Hamiltonian medicine is that, like Darwinian medicine more generally, it provides novel insights into what data will be productive to collect, to address important clinical and public health problems. Our synthesis of this nascent field is intended predominantly for evolutionary and behavioural biologists who aspire to address questions directly relevant to human health and disease.
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Affiliation(s)
- Bernard Crespi
- Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, CanadaV5A 1S6
| | - Kevin Foster
- Department of Zoology, University of Oxford, Oxford OX1 3PS, UK
| | - Francisco Úbeda
- School of Biological Sciences, Royal Holloway University of London, Egham TW20 0EX, UK
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22
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The imprinted gene LRRTM1 mediates schizotypy and handedness in a nonclinical population. J Hum Genet 2014; 59:332-6. [PMID: 24785688 DOI: 10.1038/jhg.2014.30] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Revised: 03/20/2014] [Accepted: 04/02/2014] [Indexed: 12/18/2022]
Abstract
Imprinted genes have been posited to have important roles in human brain development and cognition, but their effects in nonclinical populations have yet to be investigated. Single-nucleotide polymorphisms (SNPs) of the imprinted gene LRRTM1 have previously been associated with schizophrenia risk and with handedness in individuals with dyslexia. We tested the hypothesis that genetic variation (SNPs) and epigenetic variation (methylation) in this gene are associated with schizotypy and handedness in a nonclinical population. Risk alleles of the three schizophrenia-linked SNPs were associated with significantly and substantially higher levels of total schizotypy. Variation in SNP genotypes was not associated with handedness, but levels of methylation in a block of CpG sites in the putative LRRTM1 promoter region were associated with more-mixed handedness. These findings provide evidence of continuity between schizophrenia and schizotypy with regard to the psychological effects of allelic variation in this imprinted gene, and show that epigenetic variation in an imprinted gene mediates the development and expression of human handedness.
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23
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Abstract
William D. Hamilton postulated the existence of 'genes underlying altruism', under the rubric of inclusive fitness theory, a half-century ago. Such genes are now poised for discovery. In this article, we develop a set of intuitive criteria for the recognition and analysis of genes for altruism and describe the first candidate genes affecting altruism from social insects and humans. We also provide evidence from a human population for genetically based trade-offs, underlain by oxytocin-system polymorphisms, between alleles for altruism and alleles for non-social cognition. Such trade-offs between self-oriented and altruistic behaviour may influence the evolution of phenotypic diversity across all social animals.
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Affiliation(s)
- Graham J Thompson
- Department of Biology, Western University, , 1151 Richmond St. North, London, Ontario, Canada , N6A 5B7
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