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      DRD4 48 bp multiallelic variants as age-population-specific biomarkers in attention-deficit/hyperactivity disorder

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          Abstract

          The identification of biomarkers to support the diagnosis and prediction of treatment response for attention-deficit/hyperactivity disorder (ADHD) is still a challenge. Our previous works highlighted the DRD4 (dopamine receptor D4) as the best potential genetic marker for childhood diagnosis and methylphenidate (MPH) response. Here, we aimed to provide additional evidence on biomarkers for ADHD diagnosis and treatment response, by using more specific approaches such as meta-analytic and bioinformatics tools. Via meta-analytic approaches including over 3000 cases and 16,000 controls, we demonstrated that, among the different variants studied in DRD4 gene, the 48-base pair, Variable Tandem Repeat Polymorphism, VNTR in exon 3 showed an age/population-specificity and an allelic heterogeneity. In particular, the 7R/“long” allele was identified as an ADHD risk factor in European-Caucasian populations ( d = 1.31, 95%CI: 1.17–1.47, Z = 4.70/ d = 1.36, 95%CI: 1.20–1.55, Z = 4.78, respectively), also, from the results of last meta-analysis, linked to the poor MPH efficacy. The 4R/“short” allele was a protective factor in European-Caucasian and South American populations ( d = 0.83, 95%CI: 0.75–0.92, Z = 3.58), and was also associated to positive MPH response. These results refer to children with ADHD. No evidence of such associations was detected for adults with persistent ADHD (data from the last meta-analysis). Moreover, we found evidence that the 4R allele leads to higher receptor expression and increased sensitivity to dopamine, as compared with the 7R allele ( d = 1.20, 95%CI: 0.71–1.69, Z = 4.81), and this is consistent with the ADHD protection/susceptibility effects of the respective alleles. Using bioinformatics tools, based on the latest genome-wide association (GWAS) meta-analysis of the Psychiatry Genomic Consortium (PGC), we demonstrated that the 48 bp VNTR is not in Linkage Disequilibrium with the DRD4 SNPs (Single Nucleotide Polymorphisms), which were not found to be associated with ADHD. Moreover, a DRD4 expression downregulation was found in ADHD specific brain regions (Putamen, Z score = −3.02, P = 0.00252). Overall, our results suggest that DRD4 48 bp VNTR variants should be considered as biomarkers to support the diagnosis of ADHD and to predict MPH response, although the accuracy of such a biomarker remains to be further elucidated.

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          Most cited references70

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          The age-dependent decline of attention deficit hyperactivity disorder: a meta-analysis of follow-up studies.

          This study examined the persistence of attention deficit hyperactivity disorder (ADHD) into adulthood. We analyzed data from published follow-up studies of ADHD. To be included in the analysis, these additional studies had to meet the following criteria: the study included a control group and it was clear from the methods if the diagnosis of ADHD included subjects who did not meet full criteria but showed residual and impairing signs of the disorder. We used a meta-analysis regression model to separately assess the syndromatic and symptomatic persistence of ADHD. When we define only those meeting full criteria for ADHD as having 'persistent ADHD', the rate of persistence is low, approximately 15% at age 25 years. But when we include cases consistent with DSM-IV's definition of ADHD in partial remission, the rate of persistence is much higher, approximately 65%. Our results show that estimates of ADHD's persistence rely heavily on how one defines persistence. Yet, regardless of definition, our analyses show that evidence for ADHD lessens with age. More work is needed to determine if this reflects true remission of ADHD symptoms or is due to the developmental insensitivity of diagnostic criteria for the disorder.
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            Molecular genetics of attention-deficit/hyperactivity disorder.

            Results of behavioral genetic and molecular genetic studies have converged to suggest that both genetic and nongenetic factors contribute to the development of attention-deficit/hyperactivity disorder (ADHD). We review this literature, with a particular emphasis on molecular genetic studies. Family, twin, and adoption studies provide compelling evidence that genes play a strong role in mediating susceptibility to ADHD. This fact is most clearly seen in the 20 extant twin studies, which estimate the heritability of ADHD to be .76. Molecular genetic studies suggest that the genetic architecture of ADHD is complex. The few genome-wide scans conducted thus far are not conclusive. In contrast, the many candidate gene studies of ADHD have produced substantial evidence implicating several genes in the etiology of the disorder. For the eight genes for which the same variant has been studied in three or more case-control or family-based studies, seven show statistically significant evidence of association with ADHD on the basis of the pooled odds ratio across studies: DRD4, DRD5, DAT, DBH, 5-HTT, HTR1B, and SNAP-25.
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              Prevalence and correlates of adult attention-deficit hyperactivity disorder: meta-analysis.

              In spite of the growing literature about adult attention-deficit hyperactivity disorder (ADHD), relatively little is known about the prevalence and correlates of this disorder. To estimate the prevalence of adult ADHD and to identify its demographic correlates using meta-regression analysis. We used the MEDLINE, PsycLit and EMBASE databases as well as hand-searching to find relevant publications. The pooled prevalence of adult ADHD was 2.5% (95% CI 2.1-3.1). Gender and mean age, interacting with each other, were significantly related to prevalence of ADHD. Meta-regression analysis indicated that the proportion of participants with ADHD decreased with age when men and women were equally represented in the sample. Prevalence of ADHD in adults declines with age in the general population. We think, however, that the unclear validity of DSM-IV diagnostic criteria for this condition can lead to reduced prevalence rates by underestimation of the prevalence of adult ADHD.
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                Author and article information

                Contributors
                c.scassellati@fatebenefratelli.eu
                Journal
                Transl Psychiatry
                Transl Psychiatry
                Translational Psychiatry
                Nature Publishing Group UK (London )
                2158-3188
                19 February 2020
                19 February 2020
                2020
                : 10
                : 70
                Affiliations
                [1 ]GRID grid.419422.8, Molecular Markers Laboratory, , IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, ; Brescia, Italy
                [2 ]ISNI 0000 0004 1936 9297, GRID grid.5491.9, Center for Innovation in Mental Health, Academic Unit of Psychology, , University of Southampton, ; Southampton, SO17 1BJ UK
                [3 ]ISNI 0000 0004 1936 9297, GRID grid.5491.9, Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, , University of Southampton, ; Southampton, SO17 1BJ UK
                [4 ]ISNI 0000 0004 0491 7174, GRID grid.451387.c, Solent NHS Trust, ; Southampton, SO19 8BR UK
                [5 ]ISNI 0000 0001 2109 4251, GRID grid.240324.3, New York University Child Study Center, ; New York, NY 10016 USA
                [6 ]ISNI 0000 0004 1936 8868, GRID grid.4563.4, Division of Psychiatry and Applied Psychology, School of Medicine, , University of Nottingham, ; Nottingham, NG72UH UK
                [7 ]ISNI 0000 0000 8786 803X, GRID grid.15090.3d, Institute for Genomic Statistics and Bioinformatics, , University Hospital Bonn, ; Bonn, Germany
                [8 ]ISNI 0000 0001 2172 9288, GRID grid.5949.1, Department of Psychiatry, , University of Münster, ; Münster, Germany
                [9 ]ISNI 0000 0001 2179 088X, GRID grid.1008.9, Department of Psychiatry, Melbourne Medical School, , The University of Melbourne, ; Melbourne, VIC Australia
                [10 ]ISNI 0000 0001 2179 088X, GRID grid.1008.9, The Florey Institute of Neuroscience and Medical Health, , The University of Melbourne, ; Parkville, VIC Australia
                [11 ]ISNI 0000 0000 9159 4457, GRID grid.411023.5, Departments of Psychiatry and of Neuroscience and Physiology, , SUNY Upstate Medical University, ; Syracuse, 13210 NY USA
                [12 ]ISNI 0000 0004 1936 7443, GRID grid.7914.b, K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, , University of Bergen, ; Bergen, Norway
                [13 ]GRID grid.419422.8, Biological Psychiatry Unit, , IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, ; Brescia, Italy
                Author information
                http://orcid.org/0000-0003-1577-2823
                http://orcid.org/0000-0001-5877-8075
                http://orcid.org/0000-0002-9559-1725
                http://orcid.org/0000-0001-6548-426X
                http://orcid.org/0000-0002-9217-3982
                http://orcid.org/0000-0003-2077-0830
                Article
                755
                10.1038/s41398-020-0755-4
                7031506
                32075956
                a5ec0034-52e5-4f9d-a3e9-a3b72c35ea63
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 February 2019
                : 10 December 2019
                : 20 December 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100003196, Ministero della Salute (Ministry of Health, Italy);
                Funded by: FundRef https://doi.org/10.13039/100010661, EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020);
                Award ID: 667302
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Clinical Psychology & Psychiatry
                genetics,neuroscience
                Clinical Psychology & Psychiatry
                genetics, neuroscience

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