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Hashmi AN, Ahmed Dharejo R, Zubair UB, Khan N, Kashif I, Ajmal M, Taj R, Qamar R, Azam M. Association of dopamine β-hydroxylase polymorphism rs1611115 and serum levels with psychiatric disorders in Pakistani population. Int J Neurosci 2024; 134:551-559. [PMID: 36120985 DOI: 10.1080/00207454.2022.2126774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/06/2022] [Accepted: 08/26/2022] [Indexed: 10/14/2022]
Abstract
AIM Dopamine β-hydroxylase (DBH) is a copper-containing enzyme that has an important role in maintaining the cellular homeostasis between the two neurotransmitters, dopamine (DA) and nor-adrenaline (NA). DBH functional polymorphisms are associated with multiple neuro-psychiatric conditions and are found to alter the DBH protein levels in serum affecting DBH enzymatic activity. The current study was conducted to determine the genetic and serum levels association of DBH rs1611115 functional polymorphism with major depressive disorder (MDD), bipolar disorder (BD) and schizophrenia (SHZ) in the Pakistani population. METHODS In total n = 1097 subjects including MDD (n = 427), BD (n = 204), SHZ (n = 134) and healthy controls (n = 332), were screened for the functional polymorphism by polymerase chain reaction-restriction fragment length polymorphism. Univariate logistic regression analysis was applied and the results were adjusted for age and sex. The DBH levels in serum were determined through enzyme-linked immunosorbent assay (ELISA) and the Mann Whitney U test was applied. RESULTS The minor allele (-1021 C > T) was found to be significantly associated with a higher risk of developing BD and SHZ in both univariable and multivariable analyses. The overall total serum concentration of DBH was comparatively raised in MDD, however, in cross-comparison DBH serum levels were found markedly higher in CC homozygotes compared to TT homozygotes within the BD group. CONCLUSION The present study suggested a significant association of DBH rs1611115 with BD and SHZ and also the effect of rs1611115 on DBH serum levels in MDD and BD for the first time in the Pakistani population.
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Affiliation(s)
- Aisha Nasir Hashmi
- Translational Genomics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan
| | - Raees Ahmed Dharejo
- Department of Psychiatry, Pakistan Institute of Medical Sciences, Islamabad, Pakistan
- WAPDA Administrative Staff College, Islamabad, Pakistan
| | - Usama Bin Zubair
- Department of Psychiatry, Pakistan Institute of Medical Sciences, Islamabad, Pakistan
| | - Netasha Khan
- Translational Genomics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan
| | - Iqra Kashif
- Translational Genomics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan
| | - Muhammad Ajmal
- Translational Genomics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan
| | - Rizwan Taj
- Department of Psychiatry, Pakistan Institute of Medical Sciences, Islamabad, Pakistan
| | - Raheel Qamar
- Pakistan Academy of Sciences, Islamabad, Pakistan
- Science and Technology Sector, ICESCO, Rabat, Morocco
| | - Maleeha Azam
- Translational Genomics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan
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Punchaichira TJ, Kukshal P, Bhatia T, Deshpande SN, Thelma BK. Effect of rs1108580 of DBH and rs1006737 of CACNA1C on Cognition and Tardive Dyskinesia in a North Indian Schizophrenia Cohort. Mol Neurobiol 2023; 60:6826-6839. [PMID: 37493923 DOI: 10.1007/s12035-023-03496-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 07/10/2023] [Indexed: 07/27/2023]
Abstract
Genetic perturbations in dopamine neurotransmission and calcium signaling pathways are implicated in the etiology of schizophrenia. We aimed to test the association of a functional splice variant each in Dopamine β-Hydroxylase (DBH; rs1108580) and Calcium voltage-gated channel subunit alpha1 C (CACNA1C; rs1006737) genes in these pathways with schizophrenia (506 cases, 443 controls); Abnormal Involuntary Movement Scale (AIMS) scores in subjects assessed for tardive dyskinesia (76 TD-positive, 95 TD-negative) and Penn Computerized Neurocognitive Battery (PennCNB) scores (334 cases, 234 controls). The effect of smoking status and SNP genotypes on AIMS scores were assessed using ANOVA; health status and SNP genotypes on three performance functions of PennCNB cognitive domains were assessed by ANCOVA with age and sex as covariates. Association with Positive and Negative Syndrome Scale (PANSS) scores in the TD cohort and cognitive scores in healthy controls of the cognition cohort were tested by linear regression. None of the markers were associated with schizophrenia. Smoking status [F(2, 139) = 10.6; p = 5 × 10-5], rs1006737 [F(2, 139) = 7.1; p = 0.001], TD status*smoking [F(2, 139) = 8.0; p = 5.0 × 10-4] and smoking status*rs1006737 [F(4, 139) = 2.7; p = 0.03] had an effect on AIMS score. Furthermore, rs1006737 was associated with orofacial [F(2, 139) = 4.6; p = 0.01] and limb-truncal TD [(F(2, 139) = 3.8; p = 0.02]. Main effect of rs1108580 on working memoryprocessing speed [F(2, 544) = 3.8; p = 0.03] and rs1006737 on spatial abilityefficiency [F(1, 550) = 9.4; p = 0.02] was identified. Health status*rs1006737 interaction had an effect on spatial memoryprocessing speed [F(1, 550) = 6.9; p = 0.01]. Allelic/genotypic association (p = 0.01/0.03) of rs1006737 with disorganized/concrete factor and allelic association of rs1108580 (p = 0.04) with a depressive factor of PANSS was observed in the TD-negative subcohort. Allelic association of rs1006737 with sensorimotor dexterityaccuracy (p = 0.03), attentionefficiency (p = 0.05), and spatial abilityefficiency (p = 0.02); allelic association of rs1108580 with face memoryaccuracy (p = 0.05) and emotionefficiency (p = 0.05); and allelic/genotypic association with emotionaccuracy (p = 0.003/0.009) were observed in healthy controls of the cognition cohort. These association findings may have direct implications for personalized medicine and cognitive remediation.
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Affiliation(s)
| | - Prachi Kukshal
- Department of Genetics, University of Delhi South Campus, Benito Juarez Road, New Delhi, 110021, India
- Sri Sathya Sai Sanjeevani International Centre for Child Heart Care & Research, Palwal, Haryana, 121102, India
| | - Triptish Bhatia
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research-Dr. Ram Manohar Lohia Hospital, Baba Kharak Singh Marg, Connaught Place, New Delhi, 110001, India
| | - Smita Neelkanth Deshpande
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research-Dr. Ram Manohar Lohia Hospital, Baba Kharak Singh Marg, Connaught Place, New Delhi, 110001, India
| | - B K Thelma
- Department of Genetics, University of Delhi South Campus, Benito Juarez Road, New Delhi, 110021, India.
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Sadhu N, He Y, Yao Y, Wilkie DJ, Molokie RE, Wang ZJ. Candidate gene association study suggests potential role of dopamine beta-hydroxylase in pain heterogeneity in sickle cell disease. Front Genet 2023; 14:1193603. [PMID: 37384335 PMCID: PMC10296203 DOI: 10.3389/fgene.2023.1193603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 05/23/2023] [Indexed: 06/30/2023] Open
Abstract
Introduction: Pain is a lifelong companion of individuals with sickle cell disease (SCD) and has a severe impact on their quality of life. Both acute crisis pain and chronic non-crisis pain exhibit high variability between individuals, making it difficult to effectively manage sickle cell-related pain. We investigated the role of dopamine beta-hydroxylase (DBH) gene polymorphisms on pain variability in SCD. DBH is a key enzyme in the catecholamine biosynthesis pathway that catalyzes the conversion of dopamine to norepinephrine, both of which are known mediators of pain and pain-related behaviors. Methods: Acute crisis pain-related utilization and non-crisis chronic pain scores of 131 African Americans with SCD were obtained. Results and discussion: Association analyses revealed that the T allele of upstream variant rs1611115 and downstream variant rs129882 correlated with higher severity of chronic pain in an additive model. On the other hand, the A allele of missense variant rs5324 associated with lower risk of both acute crisis pain and chronic pain. Similarly, the C allele of intronic variant rs2797849 was associated with lower incidence of acute crisis pain in the additive model. In addition, tissue-specific eQTL revealed that the T allele of rs1611115 correlated with decreased expression of DBH in the frontal cortex and anterior cingulate cortex (GTEx), and decreased expression of DBH-AS1 in blood (eQTLGen). Bioinformatic approaches predicted that rs1611115 may be altering a transcription factor binding site, thereby, contributing to its potential effect. Taken together, findings from this study suggest that potential functional polymorphisms of DBH may modulate pain perception in SCD.
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Affiliation(s)
- Nilanjana Sadhu
- Department of Pharmaceutical Sciences, University of Illinois Chicago College of Pharmacy, Chicago, IL, United States
| | - Ying He
- Department of Pharmaceutical Sciences, University of Illinois Chicago College of Pharmacy, Chicago, IL, United States
- Comprehensive Sickle Cell Center, University of Illinois Chicago, Chicago, IL, United States
| | - Yingwei Yao
- Department of Biobehavioral Nursing Science, University of Florida College of Nursing, Gainesville, FL, United States
| | - Diana J. Wilkie
- Department of Biobehavioral Nursing Science, University of Florida College of Nursing, Gainesville, FL, United States
| | - Robert E. Molokie
- Department of Pharmaceutical Sciences, University of Illinois Chicago College of Pharmacy, Chicago, IL, United States
- Comprehensive Sickle Cell Center, University of Illinois Chicago, Chicago, IL, United States
- Jesse Brown Veteran’s Administration Medical Center, Chicago, IL, United States
- Division of Hematology/Oncology, University of Illinois Chicago College of Medicine, Chicago, IL, United States
| | - Zaijie Jim Wang
- Department of Pharmaceutical Sciences, University of Illinois Chicago College of Pharmacy, Chicago, IL, United States
- Comprehensive Sickle Cell Center, University of Illinois Chicago, Chicago, IL, United States
- Department of Neurology and Rehabilitation, University of Illinois Chicago College of Medicine, Chicago, IL, United States
- Department of Biomedical Engineering, University of Illinois Chicago College of Engineering, Chicago, IL, United States
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4
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Roy S, Ghosh S, Bhattacharya S, Saha A, Das SK, Gangopadhyay PK, Bavdekar A, Ray K, Sengupta M, Ray J. Dopamine β hydroxylase (DBH) polymorphisms do not contribute towards the clinical course of Wilson's disease in Indian patients. J Gene Med 2019; 21:e3109. [PMID: 31265749 DOI: 10.1002/jgm.3109] [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: 12/24/2018] [Revised: 05/21/2019] [Accepted: 06/22/2019] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Wilson's disease (WD) is a rare copper metabolism disorder with hepatic and neurological symptoms. Dopamine β hydroxylase (DBH) encodes a copper-dependent mono-oxygenase that converts dopamine to norepinephrine, thereby regulating the endogenous dopamine content in the neurons. Polymorphisms of DBH have been reported to be associated with several neurological diseases, such as Parkinson's disease, Alzheimer's disease, schizophrenia and attention-deficit hyperactivity disorder, which have overlapping neurological symptoms with WD. The present study aimed to assess the role of DBH polymorphisms on the clinical course of WD. METHODS In total, 141 WD patients from India were included in the present study. Three polymorphisms of DBH (rs1611115 in the promoter, rs1108580 in exon 2 and rs129882 in 3'-UTR) were screened for their association with the clinical attributes (hepatic and neurological features) and age of onset of WD using a polymerase chain reaction-restriction fragment length polymorphsm method and sequencing approach. The distribution of genotype or allele frequencies was tested using 2 × 2 contingency chi-squared and logistic regression analysis (additive, dominant and recessive model). RESULTS The genotypic and allelic frequencies of these single nucleotide polymophisms did not vary significantly along with the clinical symptoms (hepatic and neurological) or the age of onset of WD. No significant association was observed when we analyzed our samples with respect to harboring different kinds of ATP7B mutations (nonsense/in-del and missense). CONCLUSIONS The data obtained in the present study suggest that the selected DBH variants are unlikely to have any significant contribution towards modifying the clinical symptoms of Indian WD patients.
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Affiliation(s)
- Shubhrajit Roy
- S. N. Pradhan Centre for Neurosciences, University of Calcutta, Kolkata, India
| | - Sampurna Ghosh
- Department of Genetics, University of Calcutta, Kolkata, India
| | | | - Arpan Saha
- Department of Genetics, University of Calcutta, Kolkata, India
| | | | | | | | - Kunal Ray
- ATGC Diagnostics Private Ltd, Kolkata, India
| | - Mainak Sengupta
- Department of Genetics, University of Calcutta, Kolkata, India
| | - Jharna Ray
- S. N. Pradhan Centre for Neurosciences, University of Calcutta, Kolkata, India
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Bensmann W, Zink N, Arning L, Beste C, Stock AK. The Presynaptic Regulation of Dopamine and Norepinephrine Synthesis Has Dissociable Effects on Different Kinds of Cognitive Conflicts. Mol Neurobiol 2019; 56:8087-8100. [PMID: 31183808 DOI: 10.1007/s12035-019-01664-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 05/27/2019] [Indexed: 12/14/2022]
Abstract
Goal-directed behavior requires the ability to resolve subliminally or consciously induced response conflicts, both of which may benefit from catecholamine-induced increases in gain control. We investigated the effects of presynaptic differences in dopamine and norepinephrine synthesis with the help of the tyrosine hydroxylase (TH) rs10770141 and the dopamine-β-hydroxylase (DBH) rs1611115, rs6271, and rs1611122 polymorphisms. Conscious and subliminal response conflicts were induced with flanker and prime distractors in (n = 207) healthy young participants while neurophysiological data (EEG) was recorded. The results demonstrated that the increased presynaptic catecholamine synthesis associated with the TH rs10770141 TT genotype improves cognitive control in case of consciously perceived (flanker) conflicts, but not in case of subliminally processed (prime) conflicts. Only norepinephrine seemed to also modulate subliminal conflict processing, as evidenced by better performance of the DBH rs1611122 CC genotype in case of high subliminal conflict load. Better performance was linked to larger conflict-induced modulations in post-response alpha band power arising from parietal and inferior frontal regions, which likely helps to suppress the processing of distracting information. In summary, presynaptic catecholamine synthesis benefits consciously perceived conflicts by improving the suppression of distracting information following a conflict. Subliminal conflicts were modulated via the same mechanism, but only by norepinephrine.
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Affiliation(s)
- Wiebke Bensmann
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine Carl Gustav Carus, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
| | - Nicolas Zink
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine Carl Gustav Carus, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
| | - Larissa Arning
- Department of Human Genetics, Faculty of Medicine, Ruhr-Universität Bochum, Bochum, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine Carl Gustav Carus, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
| | - Ann-Kathrin Stock
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine Carl Gustav Carus, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany.
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6
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Zhang X, Nielsen DA, Domingo CB, Shorter DI, Nielsen EM, Kosten TR. Pharmacogenetics of Dopamine β-Hydroxylase in cocaine dependence therapy with doxazosin. Addict Biol 2019; 24:531-538. [PMID: 29498170 DOI: 10.1111/adb.12611] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Revised: 10/17/2017] [Accepted: 01/20/2018] [Indexed: 02/02/2023]
Abstract
The α1 -adrenergic antagonist, doxazosin, has improved cocaine use disorder (CUD) presumably by blocking norepinephrine (NE) stimulation and reward from cocaine-induced NE increases. If the NE levels for release were lower, then doxazosin might more readily block this NE stimulation and be more effective. The NE available for release can be lower through a genetic polymorphism in dopamine β-hydroxylase (DBH) (C-1021T, rs1611115), which reduces DβH's conversion of dopamine to NE. We hypothesize that doxazosin would be more effective in CUD patients who have these genetically lower DβH levels. This 12-week, double-blind, randomized, placebo-controlled trial included 76 CUD patients: 49 with higher DβH levels from the DBH CC genotype and 27 with lower DβH levels from T-allele carriers (CT or TT). Patients were randomized to doxazosin (8 mg/day, N = 47) or placebo (N = 29) and followed with thrice weekly urine toxicology and once weekly cognitive behavioral psychotherapy. Cocaine use was reduced at a higher rate among patients in the doxazosin than in the placebo arm. We found significantly lower cocaine use rates among patients carrying the T-allele (CT/TT) than the CC genotype. The percentage of cocaine positive urines was reduced by 41 percent from baseline in the CT/TT group with low DβH and NE levels, as compared with no net reduction in the CC genotype group with normal DβH and NE levels. The DBH polymorphism appears play an important role in CUD patients' response to doxazosin treatment, supporting a pharmacogenetic association and potential application for personalized medicine.
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Affiliation(s)
- Xuefeng Zhang
- Michael E. DeBakey Veterans Affairs Medical Center Houston TX USA
- Menninger Department of Psychiatry and Behavioral SciencesBaylor College of Medicine Houston TX USA
| | - David A. Nielsen
- Michael E. DeBakey Veterans Affairs Medical Center Houston TX USA
- Menninger Department of Psychiatry and Behavioral SciencesBaylor College of Medicine Houston TX USA
| | - Coreen B. Domingo
- Michael E. DeBakey Veterans Affairs Medical Center Houston TX USA
- Menninger Department of Psychiatry and Behavioral SciencesBaylor College of Medicine Houston TX USA
| | - Daryl I. Shorter
- Michael E. DeBakey Veterans Affairs Medical Center Houston TX USA
- Menninger Department of Psychiatry and Behavioral SciencesBaylor College of Medicine Houston TX USA
| | - Ellen M. Nielsen
- Michael E. DeBakey Veterans Affairs Medical Center Houston TX USA
- Menninger Department of Psychiatry and Behavioral SciencesBaylor College of Medicine Houston TX USA
| | - Thomas R. Kosten
- Michael E. DeBakey Veterans Affairs Medical Center Houston TX USA
- Menninger Department of Psychiatry and Behavioral SciencesBaylor College of Medicine Houston TX USA
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7
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Zhao C, Xie S, Wu H, Luan Y, Hu S, Ni J, Lin R, Zhao S, Zhang D, Li X. Quantification of allelic differential expression using a simple Fluorescence primer PCR-RFLP-based method. Sci Rep 2019; 9:6334. [PMID: 31004110 PMCID: PMC6474871 DOI: 10.1038/s41598-019-42815-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 03/29/2019] [Indexed: 12/04/2022] Open
Abstract
Allelic differential expression (ADE) is common in diploid organisms, and is often the key reason for specific phenotype variations. Thus, ADE detection is important for identification of major genes and causal mutations. To date, sensitive and simple methods to detect ADE are still lacking. In this study, we have developed an accurate, simple, and sensitive method, named fluorescence primer PCR-RFLP quantitative method (fPCR-RFLP), for ADE analysis. This method involves two rounds of PCR amplification using a pair of primers, one of which is double-labeled with an overhang 6-FAM. The two alleles are then separated by RFLP and quantified by fluorescence density. fPCR-RFLP could precisely distinguish ADE cross a range of 1- to 32-fold differences. Using this method, we verified PLAG1 and KIT, two candidate genes related to growth rate and immune response traits of pigs, to be ADE both at different developmental stages and in different tissues. Our data demonstrates that fPCR-RFLP is an accurate and sensitive method for detecting ADE on both DNA and RNA level. Therefore, this powerful tool provides a way to analyze mutations that cause ADE.
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Affiliation(s)
- Changzhi Zhao
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Shengsong Xie
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China.,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Hui Wu
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Yu Luan
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Suqin Hu
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Juan Ni
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Ruiyi Lin
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Shuhong Zhao
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China.,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University, Wuhan, 430070, P.R. China
| | - Dingxiao Zhang
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China. .,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University, Wuhan, 430070, P.R. China.
| | - Xinyun Li
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, P.R. China. .,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University, Wuhan, 430070, P.R. China.
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8
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Hancock DB, Guo Y, Reginsson GW, Gaddis NC, Lutz SM, Sherva R, Loukola A, Minica CC, Markunas CA, Han Y, Young KA, Gudbjartsson DF, Gu F, McNeil DW, Qaiser B, Glasheen C, Olson S, Landi MT, Madden PAF, Farrer LA, Vink J, Saccone NL, Neale MC, Kranzler HR, McKay J, Hung RJ, Amos CI, Marazita ML, Boomsma DI, Baker TB, Gelernter J, Kaprio J, Caporaso NE, Thorgeirsson TE, Hokanson JE, Bierut LJ, Stefansson K, Johnson EO. Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence. Mol Psychiatry 2018; 23:1911-1919. [PMID: 28972577 PMCID: PMC5882602 DOI: 10.1038/mp.2017.193] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 07/14/2017] [Accepted: 07/17/2017] [Indexed: 11/09/2022]
Abstract
Cigarette smoking is a leading cause of preventable mortality worldwide. Nicotine dependence, which reduces the likelihood of quitting smoking, is a heritable trait with firmly established associations with sequence variants in nicotine acetylcholine receptor genes and at other loci. To search for additional loci, we conducted a genome-wide association study (GWAS) meta-analysis of nicotine dependence, totaling 38,602 smokers (28,677 Europeans/European Americans and 9925 African Americans) across 15 studies. In this largest-ever GWAS meta-analysis for nicotine dependence and the largest-ever cross-ancestry GWAS meta-analysis for any smoking phenotype, we reconfirmed the well-known CHRNA5-CHRNA3-CHRNB4 genes and further yielded a novel association in the DNA methyltransferase gene DNMT3B. The intronic DNMT3B rs910083-C allele (frequency=44-77%) was associated with increased risk of nicotine dependence at P=3.7 × 10-8 (odds ratio (OR)=1.06 and 95% confidence interval (CI)=1.04-1.07 for severe vs mild dependence). The association was independently confirmed in the UK Biobank (N=48,931) using heavy vs never smoking as a proxy phenotype (P=3.6 × 10-4, OR=1.05, and 95% CI=1.02-1.08). Rs910083-C is also associated with increased risk of squamous cell lung carcinoma in the International Lung Cancer Consortium (N=60,586, meta-analysis P=0.0095, OR=1.05, and 95% CI=1.01-1.09). Moreover, rs910083-C was implicated as a cis-methylation quantitative trait locus (QTL) variant associated with higher DNMT3B methylation in fetal brain (N=166, P=2.3 × 10-26) and a cis-expression QTL variant associated with higher DNMT3B expression in adult cerebellum from the Genotype-Tissue Expression project (N=103, P=3.0 × 10-6) and the independent Brain eQTL Almanac (N=134, P=0.028). This novel DNMT3B cis-acting QTL variant highlights the importance of genetically influenced regulation in brain on the risks of nicotine dependence, heavy smoking and consequent lung cancer.
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Affiliation(s)
- D B Hancock
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA.
| | - Y Guo
- Center for Genomics in Public Health and Medicine, RTI International, Research Triangle Park, NC, USA
| | | | - N C Gaddis
- Research Computing Division, RTI International, Research Triangle Park, NC, USA
| | - S M Lutz
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - R Sherva
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - A Loukola
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - C C Minica
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - C A Markunas
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
| | - Y Han
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - K A Young
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - D F Gudbjartsson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Department of Engineering and Natural Sciences, University of Iceland, Reykjavík, Iceland
| | - F Gu
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA
| | - D W McNeil
- Department of Psychology, West Virginia University, Morgantown, WV, USA
- Department of Dental Practice and Rural Health, West Virginia University, Morgantown, WV, USA
| | - B Qaiser
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - C Glasheen
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
| | - S Olson
- Public Health Informatics Program, eHealth, Quality and Analytics Division, RTI International, Research Triangle Park, NC, USA
| | - M T Landi
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA
| | - P A F Madden
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - L A Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Ophthalmology, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - J Vink
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| | - N L Saccone
- Department of Genetics, Washington University, St. Louis, MO, USA
| | - M C Neale
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - H R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Crescenz VA Medical Center, Philadelphia, PA, USA
| | - J McKay
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - R J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, ON, Canada
| | - C I Amos
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - M L Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - D I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - T B Baker
- Center for Tobacco Research and Intervention, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - J Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- VA CT Healthcare Center, Department of Psychiatry, West Haven, CT, USA
| | - J Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - N E Caporaso
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA
| | | | - J E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - L J Bierut
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | | | - E O Johnson
- Fellow Program and Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
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Barrie ES, Pinsonneault JK, Sadee W, Hollway JA, Handen BL, Smith T, Arnold LE, Butter E, Hansen-Kiss E, Herman GE, Aman MG. Testing genetic modifiers of behavior and response to atomoxetine in autism spectrum disorder with ADHD. JOURNAL OF DEVELOPMENTAL AND PHYSICAL DISABILITIES 2018; 30:355-371. [PMID: 30197492 PMCID: PMC6128165 DOI: 10.1007/s10882-018-9590-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
BACKGROUND Frequent non-pathogenic genetic variants may act as moderators of phenotypic severity for complex disorders such as autism spectrum disorder (ASD). We previously identified polymorphisms affecting mRNA expression of candidate genes, including tryptophan hydroxylase 2 (TPH2), dopamine beta hydroxylase (DBH), and dopamine transporter (DAT, SLC6A3). METHOD We compare genotypes and (1) clinical response to atomoxetine, (2) scores from the Autism Diagnostic Interview-Revised (ADI-R), and (3) severity of Attention Deficit Hyperactivity Disorder (ADHD) symptoms in a cohort of patients with ASD from multiple study sites. RESULTS There was no association between CYP2D6 metabolizer status and atomoxetine response. TPH2 rs7305115 genotype was associated with ADI-R Restrictive/Repetitive Behavior score (p=0.03). DBH rs1611115 genotype was associated with ADI-R Social score (p=0.002) and Restrictive/Repetitive Behavior score (p=0.04). The DAT intron 8 5/6 repeat was associated with ADHD symptoms (ABC Hyperactivity p=0.01 and SNAP ADHD p=0.03), replicating a previous finding. CONCLUSIONS We find associations between ASD phenotypes and regulatory variants in catecholamine biosynthesis genes. This work may help guide future genetics studies related to ASD.
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Affiliation(s)
- Elizabeth S. Barrie
- The Ohio State University
- Institute for Genomic Medicine, Nationwide Children’s Hospital
| | | | | | | | - Benjamin L. Handen
- Departments of Psychiatry and Pediatrics, University of Pittsburgh School of Medicine
| | - Tristram Smith
- Department of Pediatrics, University of Rochester Medical Center
| | | | - Eric Butter
- The Ohio State University
- Department of Psychology, Nationwide Children’s Hospital
| | | | - Gail E. Herman
- The Ohio State University
- Institute for Genomic Medicine, Nationwide Children’s Hospital
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10
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Sun Z, Ma Y, Li W, He J, Li J, Yang X, Mao P, Cubells JF, Tang YL. Associations between the DBH gene, plasma dopamine β-hydroxylase activity and cognitive measures in Han Chinese patients with schizophrenia. Schizophr Res 2018. [PMID: 28647493 DOI: 10.1016/j.schres.2017.06.028] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The dopamine (DA) and norepinephrine (NE) systems modulate cognitive function. Dopamine β-hydroxylase (DβH) converts DA to NE, and its activity is under strong genetic control. This study examines the association of plasma DβH (pDβH) activity, DBH gene polymorphisms (-1021C>T, rs1611115 and 444G>A, rs1108580) and cognitive deficits in Han Chinese patients with schizophrenia. We assessed pDβH activity and cognitive function using the Verbal Fluency Test (VFT), Trail Making Test (TMT) A-B, Stroop color-word test and Wisconsin Card Sorting Test (WCST) in 200 patients with schizophrenia before and after 8weeks of antipsychotic treatment (96 patients completed assessments at baseline and post-treatment). We found that rs1611115 was significantly associated with pDβH activity, and there was strong LD between rs1611115 and rs1108580 polymorphisms. Correlation analysis indicated that pDβH activity correlated nominally with improvement in VFT score after 8weeks antipsychotic treatment. Moreover, there was a significant genotype effect of the rs1108580 on VFT: the VFT score of patients with AA genotype was higher than that of patients with AG/GG genotype either at baseline or the end of 8 weeks after treatment. However, this difference was not observed for rs1611115. Our findings confirm a strong association between genotype at rs1611115 and pDβH activity in Chinese patients with schizophrenia. Our data also suggest the rs1108580 polymorphism may influence some aspects of cognitive function in schizophrenia.
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Affiliation(s)
- Zuoli Sun
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Yun Ma
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Wenbiao Li
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Jing He
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Jun Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 1000875, China
| | - Xue Yang
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Peixian Mao
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Joseph F Cubells
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Yi-Lang Tang
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
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11
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Plieger T, Felten A, Melchers M, Markett S, Montag C, Reuter M. Association between a functional polymorphism on the dopamine-β-hydroxylase gene and reward dependence in two independent samples. PERSONALITY AND INDIVIDUAL DIFFERENCES 2018. [DOI: 10.1016/j.paid.2017.05.050] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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12
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Bozek T, Blazekovic A, Perkovic MN, Jercic KG, Sustar A, Smircic-Duvnjak L, Outeiro TF, Pivac N, Borovecki F. The influence of dopamine-beta-hydroxylase and catechol O-methyltransferase gene polymorphism on the efficacy of insulin detemir therapy in patients with type 2 diabetes mellitus. Diabetol Metab Syndr 2017; 9:97. [PMID: 29225702 PMCID: PMC5716004 DOI: 10.1186/s13098-017-0295-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 11/22/2017] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Type II diabetes is an important health problem with a complex connection to obesity, leading to a broad range of cardiovascular complications. Insulin therapy often results in weight gain and does not always ensure adequate glycemic control. However, previous studies reported that insulin detemir is an efficient long-acting insulin with a weight sparing effect. The aim of this study was to determine the association of catechol O-methyltransferase (COMT) Val108/158Met and dopamine-beta-hydroxylase (DBH) 1021C/T polymorphisms with the effectiveness of insulin detemir in achieving glucose control and body weight control. Participants and methods: This 52-week observational study included 185 patients with inadequate glycemic control treated with premix insulin analogues, which were replaced with insulin aspart and insulin detemir, and 156 healthy controls. After DNA isolation from blood samples, genotyping of DBH-1021C/T polymorphism (rs1611115) and COMT Val108/158Met polymorphism (rs4680) was performed. RESULTS Our results confirmed that insulin detemir did not lead to weight gain. The most significant finding was that A carriers (the combined AG and AA genotype) of the COMT Val108/158Met achieved significantly better hemoglobin A1c (HbA1c) values compared to patients carrying GG genotype. No association between DBH-1021C/T genotypes and weight and/or glucose control was detected in diabetes patients or in healthy control subjects. CONCLUSIONS This study showed that the presence of one or two A allele of the COMT Val108/158Met was associated with improved glycemic response, and with a better response to insulin detemir therapy in patients with type II diabetes, separating them as best candidates for detemir therapy.
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Affiliation(s)
- Tomislav Bozek
- Vuk Vrhovac University Clinic, Merkur University Hospital, Zagreb, Croatia
| | - Antonela Blazekovic
- Department for Functional Genomics, Center for Translational and Clinical Research, University of Zagreb School of Medicine, University Hospital Center Zagreb, Šalata 2, Zagreb, Croatia
| | | | - Kristina Gotovac Jercic
- Department for Functional Genomics, Center for Translational and Clinical Research, University of Zagreb School of Medicine, University Hospital Center Zagreb, Šalata 2, Zagreb, Croatia
| | - Aleksandra Sustar
- Department of Cardiology, University Hospital Center Rijeka, Rijeka, Croatia
| | | | - Tiago F. Outeiro
- Department of Experimental Neurodegeneration, Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Göttingen, Germany
- Max Planck Institute for Experimental Medicine, Göttingen, Germany
| | - Nela Pivac
- Division of Molecular Medicine, Rudjer Boskovic Institute, Zagreb, Croatia
| | - Fran Borovecki
- Department for Functional Genomics, Center for Translational and Clinical Research, University of Zagreb School of Medicine, University Hospital Center Zagreb, Šalata 2, Zagreb, Croatia
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13
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Li L, Zhang L, Binkley PF, Sadee W, Wang D. Regulatory Variants Modulate Protein Kinase C α (PRKCA) Gene Expression in Human Heart. Pharm Res 2017; 34:1648-1657. [PMID: 28120175 PMCID: PMC7315374 DOI: 10.1007/s11095-017-2102-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 01/06/2017] [Indexed: 11/26/2022]
Abstract
PURPOSE Protein kinase C α (PRKCA) is involved in multiple functions and has been implicated in heart failure risks and treatment outcomes. This study aims to identify regulatory variants affecting PRKCA expression in human heart, and evaluate attributable risk of heart disease. METHODS mRNA expression quantitative trait loci (eQTLs) were extracted from the Genotype and Tissue Expression Project (GTEx). Allelic mRNA ratios were measured in 51 human heart tissues to identify cis-acting regulatory variants. Potential regulatory regions were tested with luciferase reporter gene assays and further evaluated in GTEx and genome-wide association studies. RESULTS Located in a region with robust enhancer activity in luciferase reporter assays, rs9909004 (T > C, minor allele frequency =0.47) resides in a haplotype displaying strong eQTLs for PRKCA in heart (p = 1.2 × 10-23). The minor C allele is associated with both decreased PRKCA mRNA expression and decreased risk of phenotypes characteristic of heart failure in GWAS analyses (QT interval p = 3.0 × 10-14). While rs9909004 is the likely regulatory variant, other variants in high linkage disequilibrium cannot be excluded. Distinct regulatory variants appear to affect expression in other tissues. CONCLUSIONS The haplotype carrying rs9909004 influences PRKCA expression in the heart and is associated with traits linked to heart failure, potentially affecting therapy of heart failure.
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Affiliation(s)
- Liang Li
- Center for Pharmacogenomics and Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 1005 BRT, 460 West 12th Ave, Columbus, Ohio, 43210, USA
| | - Lizhi Zhang
- Center for Pharmacogenomics and Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 1005 BRT, 460 West 12th Ave, Columbus, Ohio, 43210, USA
| | - Philip F Binkley
- Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, 43210, USA
| | - Wolfgang Sadee
- Center for Pharmacogenomics and Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 1005 BRT, 460 West 12th Ave, Columbus, Ohio, 43210, USA
| | - Danxin Wang
- Center for Pharmacogenomics and Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 1005 BRT, 460 West 12th Ave, Columbus, Ohio, 43210, USA.
- Center for Pharmacogenomics and Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 1005 BRT, 460 W 12th Avenue, Columbus, Ohio, 43210, USA.
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14
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Voelker P, Sheese BE, Rothbart MK, Posner MI. Methylation polymorphism influences practice effects in children during attention tasks. Cogn Neurosci 2017; 8:72-84. [PMID: 27050482 PMCID: PMC5605136 DOI: 10.1080/17588928.2016.1170006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Epigenetic mechanisms mediate the influence of experience on gene expression. Methylation is a principal method for inducing epigenetic effects on DNA. In this paper, we examine alleles of the methylenetetrahydrofolate reductase (MTHFR) gene that vary enzyme activity, altering the availability of the methyl donor and thus changing the efficiency of methylation. We hypothesized that alleles of the MTHFR gene would influence behavior in an attention-related task in conjunction with genes known to influence attention. We found that seven-year-old children homozygous for the C allele of MTHFR in interaction with the catechol O-methyltransferase (COMT) gene showed greater improvement in overall reaction time (RT) and in conflict resolution with practice on the Attention Network Test (ANT). This finding indicates that methylation may operate on or through genes that influence executive network operation. However, MTHFR T allele carriers showed faster overall RT and conflict resolution. Some children showed an initial improvement in ANT RT followed by a decline in performance, and we found that alleles of the dopamine beta-hydroxylase (DBH) gene were related to this performance decline. These results suggest a genetic dissociation between improvement while learning a skill and reduction in performance with continued practice.
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Affiliation(s)
| | - Brad E Sheese
- b Psychology , Illinois Wesleyan University , Bloomington , USA
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15
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Deep sequencing identifies novel regulatory variants in the distal promoter region of the dopamine-β-hydroxylase gene. Pharmacogenet Genomics 2016; 26:311-23. [DOI: 10.1097/fpc.0000000000000214] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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16
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Cubells JF, Schroeder JP, Barrie ES, Manvich DF, Sadee W, Berg T, Mercer K, Stowe TA, Liles LC, Squires KE, Mezher A, Curtin P, Perdomo DL, Szot P, Weinshenker D. Human Bacterial Artificial Chromosome (BAC) Transgenesis Fully Rescues Noradrenergic Function in Dopamine β-Hydroxylase Knockout Mice. PLoS One 2016; 11:e0154864. [PMID: 27148966 PMCID: PMC4857931 DOI: 10.1371/journal.pone.0154864] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 04/20/2016] [Indexed: 12/22/2022] Open
Abstract
Dopamine β-hydroxylase (DBH) converts dopamine (DA) to norepinephrine (NE) in noradrenergic/adrenergic cells. DBH deficiency prevents NE production and causes sympathetic failure, hypotension and ptosis in humans and mice; DBH knockout (Dbh -/-) mice reveal other NE deficiency phenotypes including embryonic lethality, delayed growth, and behavioral defects. Furthermore, a single nucleotide polymorphism (SNP) in the human DBH gene promoter (-970C>T; rs1611115) is associated with variation in serum DBH activity and with several neurological- and neuropsychiatric-related disorders, although its impact on DBH expression is controversial. Phenotypes associated with DBH deficiency are typically treated with L-3,4-dihydroxyphenylserine (DOPS), which can be converted to NE by aromatic acid decarboxylase (AADC) in the absence of DBH. In this study, we generated transgenic mice carrying a human bacterial artificial chromosome (BAC) encompassing the DBH coding locus as well as ~45 kb of upstream and ~107 kb of downstream sequence to address two issues. First, we characterized the neuroanatomical, neurochemical, physiological, and behavioral transgenic rescue of DBH deficiency by crossing the BAC onto a Dbh -/- background. Second, we compared human DBH mRNA abundance between transgenic lines carrying either a "C" or a "T" at position -970. The BAC transgene drove human DBH mRNA expression in a pattern indistinguishable from the endogenous gene, restored normal catecholamine levels to the peripheral organs and brain of Dbh -/- mice, and fully rescued embryonic lethality, delayed growth, ptosis, reduced exploratory activity, and seizure susceptibility. In some cases, transgenic rescue was superior to DOPS. However, allelic variation at the rs1611115 SNP had no impact on mRNA levels in any tissue. These results indicate that the human BAC contains all of the genetic information required for tissue-specific, functional expression of DBH and can rescue all measured Dbh deficiency phenotypes, but did not reveal an impact of the rs11115 variant on DBH expression in mice.
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Affiliation(s)
- Joseph F. Cubells
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
- Emory Autism Center, Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Jason P. Schroeder
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Elizabeth S. Barrie
- Center for Pharmacogenomics, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America
| | - Daniel F. Manvich
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Wolfgang Sadee
- Center for Pharmacogenomics, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America
| | - Tiina Berg
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Kristina Mercer
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
- Graduate Program in Genetics and Molecular Biology, Emory University, Atlanta, Georgia, United States of America
| | - Taylor A. Stowe
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - L. Cameron Liles
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Katherine E. Squires
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Andrew Mezher
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Patrick Curtin
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Dannie L. Perdomo
- Graduate Program in Genetics and Molecular Biology, Emory University, Atlanta, Georgia, United States of America
| | - Patricia Szot
- MIRECC, VA Puget Sound Health Care System, Seattle, Washington, United States of America
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, United States of America
| | - David Weinshenker
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
- * E-mail:
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17
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Xu Q, Song Y, Liu R, Chen Y, Zhang Y, Li Y, Zhao W, Chang G, Chen G. The dopamine β-hydroxylase gene in Chinese goose (Anas cygnoides): cloning, characterization, and expression during the reproductive cycle. BMC Genet 2016; 17:48. [PMID: 26912132 PMCID: PMC4766643 DOI: 10.1186/s12863-016-0355-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2015] [Accepted: 02/16/2016] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Dopamine β-hydroxylase (DBH) is a critical enzyme in the biosynthesis of catecholamines. This enzyme's role in neuroendocrine regulation is well known, but there are some indications that it may also modulate reproduction and endocrine in mammals and birds. We selected goose (Anas cygnoides) as an ideal model species for investigating the role of DBH in avian reproduction. RESULTS Full-length cDNA encoding DBH was cloned from Zhedong goose using reverse transcription PCR and rapid amplification of cDNA ends. The cDNA consisted of a 126-base pair (bp) 5'-untranslated region (UTR), a 379-bp 3'-UTR, and an 1896-bp open reading frame encoding a polypeptide of 631 amino acids. The deduced amino acid sequence of gDBH shared high homology with an analogue from other birds and contained three conserved domains from a mono-oxygenase family including a DOMON domain and two Cu2_mono-oxygen domains. Real-time quantitative PCR analysis showed that gDBH mRNA was expressed in both reproductive and endocrine tissues of Zhedong goose, specifically in the hypothalamus, pituitary, ovary, and oviduct. More DBH mRNA of reproductive and endocrine tissues was detected at ovulation than at oviposition in Zhedong goose. Evidence of opposite trend of gDBH expression was found between the hypothalamus-pituitary and oviduct during the ovulation phase and the broody phase. In addition, we assessed DBH mRNA expression during ovulation in two breeds of geese that differ in egg production. The reproductive and endocrine tissues of Yangzhou geese with higher egg production had more gDBH expression than Zhedong geese. Finally, the five non-synonymous SNP(c.1739 C > T, c.1760G > T, c.1765A > G, c.1792 T > C and c.1861G > C) were identified in the coding region of DBH gene between Zhedong goose and Yangzhou goose. CONCLUSIONS We conclude that goose DBH mRNA show obvious periodically variation in reproductive and endocrine tissues during the reproductive cycle in geese.
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Affiliation(s)
- Qi Xu
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, 225009, PR China.
| | - Yadong Song
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, 225009, PR China.
| | - Ran Liu
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, 225009, PR China.
| | - Yang Chen
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, 225009, PR China.
| | - Yang Zhang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, 225009, PR China.
| | - Yang Li
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, 225009, PR China.
| | - Wenming Zhao
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, 225009, PR China.
| | - Guobin Chang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, 225009, PR China.
| | - Guohong Chen
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, 225009, PR China. .,School of Animal science and Technology, Yangzhou University, Yangzhou, PR China.
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18
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Lu R, Smith RM, Seweryn M, Wang D, Hartmann K, Webb A, Sadee W, Rempala GA. Analyzing allele specific RNA expression using mixture models. BMC Genomics 2015; 16:566. [PMID: 26231172 PMCID: PMC4521363 DOI: 10.1186/s12864-015-1749-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2015] [Accepted: 07/03/2015] [Indexed: 11/10/2022] Open
Abstract
Background Measuring allele-specific RNA expression provides valuable insights into cis-acting genetic and epigenetic regulation of gene expression. Widespread adoption of high-throughput sequencing technologies for studying RNA expression (RNA-Seq) permits measurement of allelic RNA expression imbalance (AEI) at heterozygous single nucleotide polymorphisms (SNPs) across the entire transcriptome, and this approach has become especially popular with the emergence of large databases, such as GTEx. However, the existing binomial-type methods used to model allelic expression from RNA-seq assume a strong negative correlation between reference and variant allele reads, which may not be reasonable biologically. Results Here we propose a new strategy for AEI analysis using RNA-seq data. Under the null hypothesis of no AEI, a group of SNPs (possibly across multiple genes) is considered comparable if their respective total sums of the allelic reads are of similar magnitude. Within each group of “comparable” SNPs, we identify SNPs with AEI signal by fitting a mixture of folded Skellam distributions to the absolute values of read differences. By applying this methodology to RNA-Seq data from human autopsy brain tissues, we identified numerous instances of moderate to strong imbalanced allelic RNA expression at heterozygous SNPs. Findings with SLC1A3 mRNA exhibiting known expression differences are discussed as examples. Conclusion The folded Skellam mixture model searches for SNPs with significant difference between reference and variant allele reads (adjusted for different library sizes), using information from a group of “comparable” SNPs across multiple genes. This model is particularly suitable for performing AEI analysis on genes with few heterozygous SNPs available from RNA-seq, and it can fit over-dispersed read counts without specifying the direction of the correlation between reference and variant alleles. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1749-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Rong Lu
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, 43210, USA
| | - Ryan M Smith
- Center for Pharmacogenomics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA
| | - Michal Seweryn
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, 43210, USA.,Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, 43201, USA
| | - Danxin Wang
- Center for Pharmacogenomics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA
| | - Katherine Hartmann
- Center for Pharmacogenomics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA
| | - Amy Webb
- Department of Biomedical Informatics, Program in Pharmacogenomics, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Wolfgang Sadee
- Center for Pharmacogenomics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA
| | - Grzegorz A Rempala
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, 43210, USA. .,Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, 43201, USA.
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