Literature DB >> 20856918

Fitting the pieces together: current research on the genetic basis of attention-deficit/hyperactivity disorder (ADHD).

Evangelia Stergiakouli1, Anita Thapar.   

Abstract

Attention-deficit/hyperactivity disorder (ADHD) is a highly disruptive childhood-onset disorder that often persists into adolescence and adulthood. Comorbidity with other problems, such as autism, dyslexia and conduct disorder (CD) is very common. Although little is known about the pathophysiology of ADHD, family, twin and adoption studies have shown that it is highly heritable. Whole genome linkage studies suggest there are no common susceptibility genes of moderate effect size. Most published research has been based on functional candidate gene studies. The most consistent evidence for association with ADHD relates to a dopamine D4 receptor (DRD4) gene variable number tandem repeat (VNTR), a dopamine D5 receptor (DRD5) gene microsatellite and a dopamine transporter (DAT1) gene VNTR. In addition, the catechol-O-methyltransferase (COMT) val158/108 met variant has been shown to increase risk for associated antisocial behavior. The first genome-wide association studies (GWAS) of ADHD have been completed and although larger studies are still required to detect common risk variants, novel risk pathways are being suggested for ADHD. Further research on the contribution of rare variants, larger genome-wide association and sequencing studies and ADHD phenotype refinement is now needed.

Entities:  

Keywords:  attention-deficit/hyperactivity disorder (ADHD); gene-environment interplay; genetics; genome-wide association study (GWAS); molecular genetics

Year:  2010        PMID: 20856918      PMCID: PMC2938304          DOI: 10.2147/NDT.S11322

Source DB:  PubMed          Journal:  Neuropsychiatr Dis Treat        ISSN: 1176-6328            Impact factor:   2.570


Introduction

Attention-deficit/hyperactivity disorder (ADHD) is one of the most common childhood- onset psychiatric disorders affecting 1.4%–6% of school children. The core clinical features are severe impulsiveness, lack of concentration and motor hyperactivity that result in impaired functioning in more than one setting (eg, home and school). This pattern of symptoms puts children at risk of education failure and disrupts family, teacher and peer relationships. ADHD is often accompanied by other psychiatric disorders and learning difficulties, notably oppositional defiant disorder (ODD), conduct disorder (CD), autism and dyslexia. ADHD is highly heritable and the investigation of genetic factors that increase risk can help elucidate its pathophysiology. The first part of this review discusses evidence on the genetic contribution to ADHD as well as specific clinical aspects, while the second part deals with molecular genetics studies.

ADHD phenotype and diagnosis

The use of internationally accepted diagnostic criteria has increased diagnostic reliability resulting in ADHD being one of the best-validated clinical diagnoses.1 There are two sets of diagnostic criteria used to define ADHD: the Diagnostic and Statistical Manual of Mental Disorders, fourth edition, text revision (DSM-IV-TR) and the International Classification of Diseases, tenth edition (ICD-10; Hyperkinetic Disorder). The diagnosis of ADHD is based on reported symptoms. Most genetic studies have utilized standardized diagnostic criteria, although some have considered ADHD to be continuously distributed and assessed total ADHD symptom scores. There is consistent evidence that ADHD is familial. Family studies of ADHD have reported increased rates of ADHD among parents and siblings of children with ADHD compared with relatives of unaffected controls. The relative risk in first degree relatives is considered to be between 4 and 5.4.1 It is interesting that half siblings of children with ADHD have a lower risk of developing the disorder than full siblings, further highlighting the important role of inherited factors in ADHD.2 Adoption studies are able to disentangle the contribution of inherited and environmental factors. Five adoption studies have shown that the risk of ADHD is greater in biologically related relatives of affected individuals than in those who are unrelated and this provides strong evidence for a genetic contribution to ADHD.3,4 Twin studies examine the contribution of inherited factors by examining the extent of disease concordance in genetically identical (monozygotic) and nonidentical (dizygotic) twin pairs. Many of these studies have focused on ADHD symptom scores, since a large-scale twin study has found that ADHD may be better viewed as the extreme end of a continuum rather than as a category.5 Such studies have all shown that ADHD is highly heritable and that 60%–90% of phenotypic variance can be explained by inherited factors.1,6 These high heritability estimates are comparable to those found for other neurodevelopmental disorders such as autism and schizophrenia. It is striking that heritability estimates are not 100%, meaning that there must be additional contribution from nonshared environmental factors, epigenetic and stochastic (random) effects or measurement inaccuracies. Epigenetic effects are heritable but reversible genetic changes that are not attributable to DNA sequence variation. They have been hypothesized to mediate the effects of environmental risks on psychiatric disorders.7 Twin studies have highlighted important issues about the measurement of ADHD as clinical information is usually gathered from different informants. ADHD scores derived from mother’s reports have been found to be highly heritable with heritability estimates of 60%–91%.8 ADHD scores from teacher reports are also heritable. It seems that the most reliable and heritable phenotype is achieved when combining both parent and teacher reports.9 Although using both parent and teacher reports appears to be the best option for defining child ADHD, self reports need to be considered when investigating adolescent and adult ADHD. Adolescents and adults with ADHD have similar patterns of psychiatric comorbidity and neurocognitive deficits to children with ADHD, although inattention is more prominent than hyperactivity-impulsiveness. 10 According to twin studies, the heritability of ADHD symptoms derived by self reported ADHD scores in adolescents and adults is much lower than for ADHD symptoms derived from parent and teacher reports of child ADHD scores. Nonshared environmental factors, including measurement errors have been thought to explain the low heritability. In summary, there is abundant evidence of a strong genetic contribution to ADHD. However, the influence of noninherited factors is also important. The evidence supports the use of both parent and teacher reports for defining ADHD in children. For adolescents and adults, where this is not feasible, self reports should be treated with caution when no other informant (such as a partner) is available.

ADHD subtypes

The DSM-IV-TR recognizes three ADHD subtypes. The combined type is diagnosed when six or more symptoms from each of two symptom categories (inattentive and hyperactive-impulsive) are present, while the inattentive or hyperactive-impulsive type is diagnosed when six or more symptoms from only one of the two categories are present. However, it is difficult to assess whether these subtypes are genetically distinct. The picture from family studies is not clear, although a meta-analysis suggested that there is overlap in terms of shared familial factors and only a small familial effect on subtype distinction.11 Twin studies have also found shared genetic liability12 although findings are not entirely consistent as other studies report distinct genetic and environmental contributions to the subtypes.9 In summary, although ADHD subtypes are recognized for diagnostic purposes, the evidence for distinct risk factors operating on different ADHD subtypes is not consistent.

Developmental course

At least half of those with childhood ADHD will still meet full diagnostic criteria in adolescence.13 The levels of overactivity and impulsiveness tend to decrease, while inattentiveness is more persistent. During adolescence the problems of antisocial behaviour and substance abuse also emerge. Longitudinal studies have shown that ADHD symptoms and comorbid antisocial behavior also tend to persist into adulthood.14 Twin studies find that there are genetic influences not only on ADHD but also on its continuity. Most of the continuity in ADHD symptoms is attributable to genetic influences.15 There is also the suggestion that a persistent diagnosis of ADHD is associated with stronger family history.1 Interestingly, despite diagnostic continuity over time, there are also reports of distinct genetic factors contributing to child and adult ADHD.16 In summary, ADHD is a persistent disorder with genetic factors contributing to its origins and persistence.

Comorbidity

Comorbidity is common and around two thirds of children with ADHD have a diagnosis of another psychiatric disorder. It is increasingly recognized that autism and other pervasive developmental disorders (PDD), which are also neurodevelopmental in origin, often co-exist with ADHD. Common characteristics of neurodevelopmental disorders include a tendency to more commonly affect males17,18 and having an onset in childhood. It has been suggested that there might be a set of common risk factors affecting brain development during critical stages that lead to such disorders. Twin studies indeed do find that ADHD and autism symptoms are influenced by a shared inherited risk.19,20 Further genetic or environmental factors may then be responsible for the manifestation of symptoms leading to diagnoses of specific disorders. It is striking that children with PDD are currently excluded from having a diagnosis of ADHD according to DSM-IV criteria, although they could benefit from treatment for their ADHD symptoms. They are also excluded from many research studies of ADHD despite the fact that they could represent one extreme of the distribution of neurodevelopmental disorders. The same is also true for children with ADHD and intellectual disability/mental retardation (IQ < 70). The commonest comorbid disorders are CD and ODD. Their prevalence in children with ADHD ranges from 20%–40% and they increase the risk of poor outcomes in children with ADHD. It has been considered that the group of children with ADHD and childhood-onset CD is distinct from the groups of children with ADHD or CD only. In this comorbid group of children, ADHD is more severe and shows greater persistence in adult life.21 Family history is also stronger1 and the presence of CD indicates higher genetic loading in ADHD.22 Early onset CD also represents a risk factor for poor outcome for children with ADHD.23 To conclude, ADHD can co-exist with a wide range of psychiatric disorders and this could be due to shared inherited factors. The presence of CD appears to be an index of heterogeneity.

Sex differences

There are higher rates of ADHD in males compared with females. The male to female ratio in population cohorts is approximately 4:1.18 However, sex difference ratios are larger in clinical samples (7–8:1) than population cohorts due to referral biases, since boys with ADHD tend to be more disruptive than girls, making them more likely to be referred.24 The phenotype of the disorder also differs between the two sexes. Boys tend to be more hyperactive, while girls are usually more inattentive.18 Research on the factors contributing to sex differences in ADHD has been limited. One possibility is that different genetic factors operate for males and females, although family studies show that ADHD in both sexes is familial and twin studies do not find major differences in the magnitude of genetic influences on ADHD in males and females.25 In summary, sex differences in the prevalence and clinical presentation of ADHD are well-established but more research is required to explain these.

The contribution of gene-environment interplay in ADHD

It is well-recognized that psychiatric disorders, like other complex diseases, are influenced by both genetic and environmental factors.26 Gene-environment interplay encompasses both gene-environment correlation and gene-environment interaction. Several environmental factors have been considered in relation to ADHD, including low birth weight, prematurity, prenatal maternal smoking, alcohol consumption, maternal stress, psychosocial adversity and poor maternal diet, and toxins during the prenatal or neonatal period.27 It is notable that the common characteristic of these environmental risks is that exposure is required during a critical period. For this reason it has been suggested that they might result in epigenetic (noninherited genomic) processes being triggered during a developmental window.7

Gene-environment correlation

Gene-environment correlation applies when exposure to a certain environmental factor depends on the genetic make-up of the individual or their parents. This means that genes could increase the risk of developing ADHD by influencing exposure to certain environmental factors. In gene-environment correlation the risk effects of genes and environment are not distinct and genes may indirectly increase risk to ADHD by influencing exposure to risk and protective factors. For example, maternal smoking and stress in pregnancy have both been linked to ADHD. However there is evidence to suggest that these environmental risks are influenced by maternally-provided inherited factors28 and index inherited liability to ADHD.

Gene-environment interaction

Gene-environment interaction is used to describe the phenomenon whereby a genetic factor exerts its effect when the individual is exposed to environmental risk.29 Twin or adoption studies of ADHD on this topic have not been published, although this could indicate a publication bias against negative results.29 Investigating gene-environment interaction in ADHD for specific gene variants is still at an early stage and there is a lack of robust replication studies. These results will be discussed later. To conclude, most of the environmental factors that are considered to increase susceptibility to ADHD are prenatal risks. However, some studies highlight that risk factors associated with a disorder are not necessarily causal.26

Molecular genetics of ADHD

Psychiatric disorders, including ADHD, are categorized as complex disorders; this means that, they are the result of multiple gene co-action, gene–gene and gene–environment co-actions and interactions. The process of identifying complex disorder susceptibility genes has so far mainly been based on examining common variation in the DNA of different individuals without necessarily being pathogenic (for more information see Thapar and Stergiakouli30). This variation provides genetic markers/polymorphisms, such as single nucleotide polymorphisms (SNPs). Advances in technology have made mass genotyping of large numbers of SNPs for very big samples possible and more economical. The main three methods that have been used to identify common, susceptibility gene variants are: whole genome linkage studies candidate gene association studies genome-wide association studies (GWAS).

Whole genome linkage studies

Whole genome linkage studies are based on families with multiple affected individuals, mainly affected sibling pairs, and aim to identify broad regions in the genome that could harbor susceptibility genes. The principle is that, if an allelic marker is linked to a susceptibility locus, affected relatives will share this allele more commonly than expected. Whole genome linkage studies of ADHD have been published and a meta-analysis of seven independent linkage scans yielded a significant association for 16q23 (P = 0.00034, P = 0.04). Interestingly, the same region came to light from a GWAS of quantitative traits related to ADHD. This region harbors the CDH13 gene which has been implicated in substance use disorders.31 In summary, whole genome linkage studies have not been able to achieve replication or point unequivocally to regions harboring susceptibility genes for ADHD. This probably reflects the fact that there are no common susceptibility genes of large effect sizes for ADHD and whole genome linkage studies are not the most appropriate approach for identifying genes of smaller effect sizes.

Candidate gene association studies

Candidate gene association studies select genes that are hypothesized to be implicated in a disorder and then compare the frequencies of marker alleles in affected individuals (cases) and healthy individuals (controls). Genes are selected on the basis of findings from whole genome linkage, animal, pharmacological or imaging studies. However, these studies are based on assumptions about the pathophysiology of the disorder and since this is largely unknown in psychiatric disorders, they have not been very successful. Genes within the dopaminergic pathway have been hypothesized to be implicated in the pathophysiology of ADHD due to the therapeutic effects of stimulant medication, which reduces ADHD symptoms by inhibiting the reuptake of dopamine.32 Animal studies also show that the dopamine transporter (DAT1) knockout mouse model (where the DAT1 gene has been turned off to study the effects on the phenotype) exhibits hyperactivity and deficits in inhibitory behavior33 and imaging studies of patients with ADHD provide evidence of changes in brain regions where dopaminergic systems are more active.34 Genes on the dopaminergic pathway that have been investigated in relation to ADHD include dopamine D4 receptor gene (DRD4), dopamine D5 receptor gene (DRD5), DAT1 and catechol-O-methyltransferase (COMT). Other genes notably serotonergic genes and synaptosome-associated proteins (SNAP-25) have also been studied.35 According to a recent meta-analysis there is evidence that the serotonin transporter gene and the serotonin 1B receptor gene might be associated with ADHD.36 However, since candidate gene association findings are not the focus of this review, we will only discuss consistently replicated findings from meta-analyses or pooled analyses.

DRD4

The best studied DRD4 gene polymorphism is a variable number tandem repeat (VNTR) in exon III of the gene. The number of repeats ranges from 2–11 and the 7-repeat allele reduces the ability of the receptor to bind dopamine according to in vitro studies. A significant association of the 7-repeat allele and ADHD has been reported in four different meta-analyses and pooled studies.1,36–38 The most recent meta-analysis by Gizer et al36 reported a significant, modest association between ADHD and the 7-repeat allele (P < 0.00001, OR–1.27, 95% confidence interval [CI]: 1.16–1.39), although the authors also showed evidence of substantial heterogeneity in effect sizes across different studies. 36 Two studies have also suggested that the 7-repeat allele is associated with ADHD symptom persistence39,40 although findings are not entirely consistent.41

DRD5 gene

Another dopaminergic gene, the DRD5 has been investigated in relation to ADHD and the 148-bp allele of a microsatellite at the 5′ end of the gene was found to be significantly associated with ADHD in four meta-analytic studies.36,42–44 The most recent meta-analysis reported a significant association (P = 0.000095, OR = 1.22, 95% CI: 1.10–1.36) with moderate heterogeneity in reported effect sizes.36 Although these results are very promising, the associated polymorphism is not located in the protein coding region of the gene and has no known function; it could be that this polymorphism is co-inherited with another polymorphism that is functional or that it influences gene function in a yet unknown fashion.

Solute carrier family 6A, member 3 (SLC6A3 or DAT1)

A VNTR polymorphism in the three-prime-untranslated region (3′ UTR) of the DAT1 gene has been extensively investigated and a significant association between the 480-bp allele and ADHD (P = 0.002, OR = 1.1, 95% CI: 1.03–1.17) was found in an updated meta-analysis by Gizer et al.36 The same meta-analysis found significant associations with other polymorphisms in the DAT1 gene and substantial heterogeneity across studies. Significant association of the 480-bp allele and ADHD has also been reported in five previous meta-analyses and pooled analyses.1,38,44–46 The International Multicenter ADHD Gene (IMAGE) project, a study of 776 ADHD cases that is the largest study to date, also reported a significant association but with a different polymorphism in the DAT1 gene.47 Although the data indicates that DAT1 is a strong candidate gene for ADHD, most of the meta-analyses have found evidence of sample heterogeneity suggesting a very small effect size of this variant or the presence of multiple polymorphisms within the DAT1 gene increasing risk to ADHD. The DAT1 148-bp allele has been reported as increasing sensitivity to the risk effects of maternal smoking during pregnancy.48 Another study also found evidence of gene-environment interaction but with a different DAT1 allele.49 In contrast, there have been two negative reports of gene-environment interaction in relation to maternal smoking in pregnancy and DAT1.50,51 A further concern is that maternal smoking in pregnancy might not be a causal environmental risk but rather indexing inherited liability to ADHD.28 Prenatal exposure to alcohol was also investigated in ADHD and it was found that it increased ADHD symptoms when a specific haplotype of SNP alleles in DAT1 was present.50 Two markers in the same gene, DAT1, have also been reported to interact with psychosocial adversity (defined by measures of family and parental adversity) and increase ADHD symptoms.52

COMT association with CD symptoms in patients with ADHD

The most studied polymorphism in COMT is a functional SNP resulting in a valine to methionine substitution (val158/108 met variant). However, two pooled analyses1,53 and a meta-analysis36 have found no evidence of association between this variant and ADHD. Interestingly, the COMT val allele yielded an almost significant result for males in the Cheuk and Wong meta-analysis.53 Thus, it could potentially be involved in male susceptibility to ADHD.53 There is however consistent evidence that the COMT val/val genotype is associated with CD symptoms in those with ADHD.54 Since the first report, the same genotype was subsequently found to be associated with antisocial behavior in those with ADHD (but not in those without ADHD) in two independent populations from United Kingdom and New Zealand birth cohorts.55 A pooled analysis of four studies also showed significant association with the val/val genotype.55 The same genotype was also associated with increased aggressive CD symptoms in patients with ADHD.56 These results suggest that some gene variants operate by modifying the ADHD phenotype rather than by increasing risk of disorder itself. To summarize, the most robust evidence is for an association between the DRD4 VNTR, the DRD5 microsatellite marker, the DAT1 480-bp VNTR and ADHD. It is still unclear whether the DRD4 VNTR is causal. The DRD5 148-bp microsatellite is 18.5 kb away from the gene but that does not mean it does not influence DRD5 in a yet unknown fashion. As for DAT1, there is significant evidence of heterogeneity across studies, although it initially appeared as the strongest candidate gene. The evidence that the COMT val/val genotype has a modifying effect on antisocial behavior in ADHD is a consistent finding in the field of ADHD, since it has been replicated in multiple independent samples. At present there is no convincing evidence of gene-environment interaction in relation to ADHD.

GWAS

GWAS are currently regarded by many as the most promising method for systematically searching for complex disorder susceptibility genes. They involve testing several thousand or millions of SNPs across the genome without an a priori hypothesis, and it is believed that they will also be able to pick up genes of small effect. A major limitation is that they require extremely large sample sizes to overcome the problem of multiple testing and to avoid false-positive results that are simply the product of chance. Genome-wide association findings have been published for schizophrenia,57–59 bipolar disorder,60 autism61 and other psychiatric disorders. For a review of GWAS on ADHD see Franke et al.62 GWAS of ADHD have been undertaken but research is at a much earlier stage than for most other psychiatric disorders. The first such study used a sample of 959 family trios collected as part of the IMAGE I study63 with 600,000 genotyped SNPs.63 Although, none of the associated SNPs reached genome-wide significance, these results do not exclude the existence of genes that increase risk for ADHD. In a list of the top-25 SNPs, there were some interesting candidate genes for ADHD, including cannabinoid receptor 1 (CNR1).31 This gene is located in a region that is possibly associated with ADHD according to a recent meta-analysis of linkage studies64 and it has been also associated with alcohol and drug abuse63 but such findings require replication in a different ADHD sample. Results from the same genome-wide scan were used to test for association with quantitative phenotypes generated from the ADHD symptoms.65 The authors tested three quantitative phenotypes (number of hyperactive- impulsive symptoms, number of inattentive symptoms and total number of symptoms) under three different genetic models, which increased the multiple testing burden. There were two genome-wide significant results; one of them was an intronic SNP in Cadherin 13 (CDH13) associated with the total number of ADHD symptoms66 and the other one was an intronic SNP in glucose-fructose oxidoreductase-domain containing 1 (GFOD1) associated with the number of inattentive symptoms. CDH13 has been previously reported to be associated with substance abuse63 and was on the list of the top-25 SNPs from the previous GWAS,65 although the two studies are not independent. Based on a list of candidate genes for ADHD compiled a priori, SNPs within Sodium/hydrogen exchanger 9 (SLC9A9), as well as other genes previously associated with ADHD, were associated with the disorder, although they failed to reach genome-wide significance.67 Apart from being the top hit, SLC9A9 also contained the largest number of associations in terms of SNPs and phenotypes. However, it was also the largest gene in this study. A pooled GWAS not associated with IMAGE 1 analyzed 343 adult patients with persistent ADHD and 304 controls from Germany.67 Although again there were no genome-wide significant findings, a large proportion of the top-ranked SNPs were located in genes expressed in the brain and some of them, have also shown association with substance abuse disorders, which are found very frequently in adult ADHD patients.31 In terms of overlap of GWAS findings in ADHD, CDH13 on chromosome 16q24.2–24.3 stands out. This gene is further supported by the fact that it falls into the only significant link-age region from the meta-analysis by Zhou et al.66 Although CDH13 is not a classic candidate gene for ADHD, it codes for a cell-cell adhesion protein and is also a regulator of neural cell growth. Other interesting findings in the top-ranked results of these GWAS relate to Tolloid-like (TLL) genes.68 They code for metalloproteases that cleave collagen and they are expressed in the brain. These findings highlight the fact that GWAS can point to novel risk pathways that would not be otherwise explored. However, caution is required given that no findings have achieved genome-wide significance levels or yet been replicated. The IMAGE dataset was also used to perform a GWAS on ADHD with comorbid CD,54 which as discussed earlier is considered to index heterogeneity.68 There were no reported genome-wide significant associations, although 54 markers were nominally associated. However, the authors point out that their analysis was exploratory and any associations would require replication.69 In summary the first findings from GWAS on ADHD have provided some interesting genes to explore while failing to provide support for previous candidate genes and achieve any genome-wide significant results (Table 1). As GWAS of other complex disorders have shown,70 the effect sizes of common variants are very small and this in practice means that success will only be possible if sample sizes are greatly increased. Collaborative efforts can help achieve the number of patients and healthy controls needed to have sufficient power to detect such small effects.
Table 1

Key findings from molecular genetic studies of ADHD

GeneType of studiesEvidenceFunction
DRD4 7-repeat alleleAssociation studies and meta-analysis47ConsistentG protein-coupled receptor that binds dopamine
DRD5 148-bp microsatellite repeatAssociation studies and meta-analysis47ConsistentG protein-coupled receptor that binds dopamine
DAT1 480-bp VNTRAssociation studies and meta-analysis47Mixed evidenceMembrane-spanning protein that removes dopamine from the synaptic cleft
COMT Val158MetAssociation studies and meta-analysis47Not associated with ADHD but associated with CD in ADHDEnzyme catalyzing the degradation of dopamine, adrenaline and noradrenaline
CDH13Genome-wide association studies65,67Overlap from GWAS studies but needs replicationCell-cell adhesion protein and regulator of neural cell growth
GFOD1Genome-wide association studies65,67Overlap from GWAS studies but needs replicationPredicted to be involved in electron transport and metabolic processes
TLLGenome-wide association studies63,65,67Overlap from GWAS studies but needs replicationMetalloproteases that cleave collagen, expressed in brain

Abbreviations: GWAS, genome-wide association study; DRD4, dopamine D4 receptor gene; DRD5, dopamine D5 receptor gene; DAT1, dopamine transporter gene; COMT, catechol-o-methyltransferase; CDH13, cadherin 13; GFOD1, glucose-fructose oxidoreductase-domain containing 1; TLL, tolloid-like genes.

Other potential reasons for the limited success of ADHD GWAS are sample heterogeneity, and the fact inherited factors other than common variants could increase risk for complex disorders. Although rare variants are found in a small proportion of the population (usually less than 5%), their effect sizes can be far greater than those for common variants, since they are more likely to have important implications for gene function than common variants (Table 1).

Copy number variants (CNVs)

One category of rare variants includes CNVs, which are DNA segments, of at least 1 kb in size, that vary in number when genomes of different individuals are compared. They can be copy number gains (called insertions or duplications), when there is a relative gain of a DNA segment compared to the control genome, or they can be copy number losses (called deletions), when there is a relative loss of a DNA segment. The presence of a CNV in an individual does not necessarily mean that there is a phenotypic effect, since CNVs are part of the normal variation of the human genome.71 However, it has emerged that large, rare CNVs can increase risk of disorder, especially those of a neurodevelopmental nature such as autism72 and mental retardation; thus the advances in technology that have made CNV detection more cost and time effective are very welcome. Studies of CNVs in ADHD have just started to emerge. The first published study of CNVs in ADHD did not find increased numbers of deletions or duplications in ADHD compared to controls.72 However, authors report that the gene set associated with inherited rare CNVs in cases was significantly enriched for genes previously studied in relation to autism, schizophrenia, and Tourette’s syndrome.36 Another study of CNVs in ADHD reported rare deletions and duplications in a sample of 99 children and adolescents with severe ADHD.73 One of the duplications encompassed the gene neuropeptide Y (NPY), which has been implicated in behavioral traits and other psychiatric disorders74 as well as being involved in energy balance. Although CNV studies in ADHD are still in their infancy, they could point to new risk pathways for ADHD and highlight overlaps across different neurodevelopmental disorders.

Summary and future directions

ADHD is a complex disorder with high heritability. CD may index aetiological as well as clinical heterogeneity. There also appear to be shared inherited links with autism symptoms and CD. Candidate gene association studies have been more successful for ADHD than for other psychiatric disorders, but associated gene variants still explain only a small percentage of the inherited component of ADHD.61,75 GWAS on ADHD have only just started to emerge, so it is still too early to completely trust their findings unless replication in independent samples is achieved. In the future, much larger samples will be required through international collaborative efforts. Although large samples will be needed, careful, detailed clinical and phenotype assessments are still important. ADHD is heterogeneous and phenotype refinement could potentially lead to more success in identifying genetic risk factors. Also such assessments are important if gene-phenotype links are to be examined. Epidemiological, cognitive neuroscience and imaging studies can also be helpful in examining the risk effects of putative ADHD genes in normal individuals. For example, examining the effects of such genetic variants on brain structure and function as well as other potential “ intermediate phenotypes” could help identify risk mechanisms for ADHD as well as a better understanding of brain function in normal individuals. The next few years are likely to be very exciting for the field of ADHD genetics. The first findings from GWAS are pointing to neuronal cell migration and plasticity but also more basic processes, like cell division and extracellular matrix regulation, which have not been considered before.76 New technologies, such as next generation sequencing, are likely to enhance our capacity to examine the contribution of common and rare variants as well as CNVs.77 This technology has already been applied to sequence ~1000 human genomes as part of the 1000 genomes project. For the first time an unprecedented amount of genetic variation has become available for testing for association with complex disorders. To conclude, a number of consistent genetic findings have emerged in relation to ADHD. Advances in technology and statistical analysis methods, improvements in phenotype definition and collaborative efforts to enhance sample sizes will be critical to identify and replicate more susceptibility genes. If and when some of these findings are replicated, the challenge will be to test for causal mechanisms at a biological and clinical level. Such research provides the first step towards understanding the pathogenesis of ADHD and reaching the final goal of improving diagnosis and treatment.
  75 in total

Review 1.  The contribution of gene-environment interaction to psychopathology.

Authors:  Anita Thapar; Gordon Harold; Frances Rice; Kate Langley; Michael O'donovan
Journal:  Dev Psychopathol       Date:  2007

2.  Identification of loci associated with schizophrenia by genome-wide association and follow-up.

Authors:  Michael C O'Donovan; Nicholas Craddock; Nadine Norton; Hywel Williams; Timothy Peirce; Valentina Moskvina; Ivan Nikolov; Marian Hamshere; Liam Carroll; Lyudmila Georgieva; Sarah Dwyer; Peter Holmans; Jonathan L Marchini; Chris C A Spencer; Bryan Howie; Hin-Tak Leung; Annette M Hartmann; Hans-Jürgen Möller; Derek W Morris; Yongyong Shi; GuoYin Feng; Per Hoffmann; Peter Propping; Catalina Vasilescu; Wolfgang Maier; Marcella Rietschel; Stanley Zammit; Johannes Schumacher; Emma M Quinn; Thomas G Schulze; Nigel M Williams; Ina Giegling; Nakao Iwata; Masashi Ikeda; Ariel Darvasi; Sagiv Shifman; Lin He; Jubao Duan; Alan R Sanders; Douglas F Levinson; Pablo V Gejman; Sven Cichon; Markus M Nöthen; Michael Gill; Aiden Corvin; Dan Rujescu; George Kirov; Michael J Owen; Nancy G Buccola; Bryan J Mowry; Robert Freedman; Farooq Amin; Donald W Black; Jeremy M Silverman; William F Byerley; C Robert Cloninger
Journal:  Nat Genet       Date:  2008-09       Impact factor: 38.330

3.  Do prenatal risk factors cause psychiatric disorder? Be wary of causal claims.

Authors:  Anita Thapar; Michael Rutter
Journal:  Br J Psychiatry       Date:  2009-08       Impact factor: 9.319

4.  Does parental expressed emotion moderate genetic effects in ADHD? An exploration using a genome wide association scan.

Authors:  Edmund J S Sonuga-Barke; Jessica Lasky-Su; Benjamin M Neale; Robert Oades; Wai Chen; Barbara Franke; Jan Buitelaar; Tobias Banaschewski; Richard Ebstein; Michael Gill; Richard Anney; Ana Miranda; Fernando Mulas; Herbert Roeyers; Aribert Rothenberger; Joseph Sergeant; Hans Christoph Steinhausen; Margaret Thompson; Philip Asherson; Stephen V Faraone
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2008-12-05       Impact factor: 3.568

Review 5.  Genetic basis of attention deficit and hyperactivity.

Authors:  A Thapar; J Holmes; K Poulton; R Harrington
Journal:  Br J Psychiatry       Date:  1999-02       Impact factor: 9.319

Review 6.  Maternal lifestyle factors in pregnancy risk of attention deficit hyperactivity disorder and associated behaviors: review of the current evidence.

Authors:  Karen Markussen Linnet; Søren Dalsgaard; Carsten Obel; Kirsten Wisborg; Tine Brink Henriksen; Alina Rodriguez; Arto Kotimaa; Irma Moilanen; Per Hove Thomsen; Jørn Olsen; Marjo-Riitta Jarvelin
Journal:  Am J Psychiatry       Date:  2003-06       Impact factor: 18.112

7.  Strong association of de novo copy number mutations with autism.

Authors:  Jonathan Sebat; B Lakshmi; Dheeraj Malhotra; Jennifer Troge; Christa Lese-Martin; Tom Walsh; Boris Yamrom; Seungtai Yoon; Alex Krasnitz; Jude Kendall; Anthony Leotta; Deepa Pai; Ray Zhang; Yoon-Ha Lee; James Hicks; Sarah J Spence; Annette T Lee; Kaija Puura; Terho Lehtimäki; David Ledbetter; Peter K Gregersen; Joel Bregman; James S Sutcliffe; Vaidehi Jobanputra; Wendy Chung; Dorothy Warburton; Mary-Claire King; David Skuse; Daniel H Geschwind; T Conrad Gilliam; Kenny Ye; Michael Wigler
Journal:  Science       Date:  2007-03-15       Impact factor: 47.728

8.  Genetic risk for conduct disorder symptom subtypes in an ADHD sample: specificity to aggressive symptoms.

Authors:  Michael C Monuteaux; Joseph Biederman; Alysa E Doyle; Eric Mick; Stephen V Faraone
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2009-07       Impact factor: 8.829

Review 9.  Dopamine transporter mutant mice in experimental neuropharmacology.

Authors:  Raul R Gainetdinov
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2007-12-05       Impact factor: 3.000

10.  Genetic influences on the development of childhood psychiatric disorders.

Authors:  Anita Thapar; Evangelia Stergiakouli
Journal:  Psychiatry       Date:  2008-07       Impact factor: 2.458

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  22 in total

1.  Cathechol-O-methyltransferase Val(158)Met polymorphism is associated with disruptive behavior disorders among children and adolescents with ADHD.

Authors:  Angélica Salatino-Oliveira; Julia P Genro; Ana P Guimarães; Rodrigo Chazan; Cristian Zeni; Marcelo Schmitz; Guilherme Polanczyk; Tatiana Roman; Luis A Rohde; Mara H Hutz
Journal:  J Neural Transm (Vienna)       Date:  2012-01-21       Impact factor: 3.575

2.  DRD4 and DAT1 VNTR Genotyping in Children with Attention Deficit Hyperactivity Disorder.

Authors:  Ashley Stanley; K Chavda; A Subramanian; S V Prabhu; T F Ashavaid
Journal:  Indian J Clin Biochem       Date:  2016-06-24

3.  From recreational to functional drug use: the evolution of drugs in American higher education, 1960-2014.

Authors:  Ross D Aikins
Journal:  Hist Educ       Date:  2014-12-17

4.  Genetic evidence for the association of the hypothalamic-pituitary-adrenal (HPA) axis with ADHD and methylphenidate treatment response.

Authors:  Marie-Ève Fortier; Sarojini M Sengupta; Natalie Grizenko; Zia Choudhry; Geeta Thakur; Ridha Joober
Journal:  Neuromolecular Med       Date:  2012-10-10       Impact factor: 3.843

5.  Examining the Role of Genetic Risk and Longitudinal Transmission Processes Underlying Maternal Parenting and Psychopathology and Children's ADHD Symptoms and Aggression: Utilizing the Advantages of a Prospective Adoption Design.

Authors:  Ruth Sellers; Gordon T Harold; Anita Thapar; Jenae M Neiderhiser; Jody M Ganiban; David Reiss; Daniel S Shaw; Misaki N Natsuaki; Leslie D Leve
Journal:  Behav Genet       Date:  2020-07-04       Impact factor: 2.805

6.  DAT1 and DRD4 genes involved in key dimensions of adult ADHD.

Authors:  R Hasler; A Salzmann; T Bolzan; J Zimmermann; P Baud; P Giannakopoulos; N Perroud
Journal:  Neurol Sci       Date:  2015-01-03       Impact factor: 3.307

7.  Components of the folate metabolic pathway and ADHD core traits: an exploration in eastern Indian probands.

Authors:  Tanusree Saha; Mahasweta Chatterjee; Swagata Sinha; Usha Rajamma; Kanchan Mukhopadhyay
Journal:  J Hum Genet       Date:  2017-03-02       Impact factor: 3.172

8.  Genetic risks and ADHD symptomatology: exploring the effects of parental antisocial behaviors in an adoption-based study.

Authors:  Kevin M Beaver; Joseph L Nedelec; Meghan W Rowland; Joseph A Schwartz
Journal:  Child Psychiatry Hum Dev       Date:  2012-04

9.  Psychiatrists' views of the genetic bases of mental disorders and behavioral traits and their use of genetic tests.

Authors:  Robert Klitzman; Kristopher J Abbate; Wendy K Chung; Karen Marder; Ruth Ottman; Katherine Johansen Taber; Cheng-Shiun Leu; Paul S Appelbaum
Journal:  J Nerv Ment Dis       Date:  2014-07       Impact factor: 2.254

10.  Rare DNA variants in the brain-derived neurotrophic factor gene increase risk for attention-deficit hyperactivity disorder: a next-generation sequencing study.

Authors:  Z Hawi; T D R Cummins; J Tong; M Arcos-Burgos; Q Zhao; N Matthews; D P Newman; B Johnson; A Vance; H S Heussler; F Levy; S Easteal; N R Wray; E Kenny; D Morris; L Kent; M Gill; M A Bellgrove
Journal:  Mol Psychiatry       Date:  2016-07-26       Impact factor: 15.992

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