DiscussionCommunicating complex genomic information: A counselling approach derived from research experience with Autism Spectrum Disorder
Introduction
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder characterized by impairments in communication, reciprocal social interaction, and a tendency to engage in restricted and repetitive behaviours. An increase in the prevalence of ASD has been documented over the last few decades, with the most recent study in the United States reporting an incidence of 1 in 68 children [1]. ASD demonstrates heterogeneity with regard to (i) sex, with a 4:1 ratio of males over females [2], (ii) clinical expression, both between and within families (even identical twins), and (iii) genetic etiology, evident in the identification of hundreds of different genes contributing to ASD [3], [4], [5].
The inheritance of ASD is described to follow a multifactorial model in which both genetic and environmental factors, possibly acting in combination, have a role [6], [7]. Data support a strong genetic basis for ASD, with estimates of heritability between ∼50-90% [7], [8], [9]. Hundreds of genes have been implicated in the etiology of ASD [5], [8], [10], [11], [12], [13], [14], [15]. Until recently, 10–15% of individuals with ASD have been found to have an identifiable genetic cause [4], [16]. This includes individuals who have a single gene disorder (e.g. Fragile X syndrome, Rett syndrome) [17], [18], [19], [20] and individuals with chromosome microdeletions/microduplications (e.g. 16p11.2 microdeletion) [11], [21], [22]. No single genetic cause accounts for more than 1% of ASD [4], [23], [24], [25], [26], and most individuals with an identifiable genetic cause have a syndromic form of ASD, which is associated with other physical and/or systemic features [16], [27], [28]. The majority of individuals who are diagnosed with ASD have non-syndromic/idiopathic ASD, the cause of which has been more difficult to elucidate [15], [24].
Advances in next generation sequencing (NGS) technology, including whole exome and whole genome sequencing, have enabled us to identify an increasing number of genes that contribute to the etiology of idiopathic ASD [23], [24], [29], [30], [31], [32], [33]. In some instances a single (strong) genetic change (variant) is sufficient to cause ASD, however, in the majority of cases evidence suggests that ASD results from a combination of genetic variants including those of weaker effects, as well as other contributors, which we collectively refer to as environmental factors (i.e. anything non-genetic). The complexity of the genetic etiology of ASD is further confounded by the recent finding that within some families, siblings with ASD have different contributing genetic variants [23], [29]. Moreover, many of the genetic variants associated with ASD have also been identified in individuals with other neurodevelopmental disorders, including intellectual disability (ID), obsessive compulsive disorder (OCD), attention deficit hyperactivity disorder (ADHD) and some psychiatric disorders (e.g. schizophrenia, bipolar disorder, depression), complicating our interpretation of the impact of these genetic variants on neurodevelopmental outcomes [10], [34], [35]. Additionally, comorbidity is common in ASD, in that individuals with ASD have other neurodevelopmental diagnoses (e.g. ID, OCD, ADHD) [3], [36]. While furthering our knowledge regarding the genetic causes of ASD, genome sequencing data has also highlighted the need to further understand the many additional complex factors contributing to the genetic architecture of ASD [6], [30], [37], [38], [39], [40], [41].
The need to equip healthcare professionals with the knowledge and tools to effectively communicate complex genomic information is crucial and has been recognized [42], [43], [44]. As the use of NGS technology for the investigation of ASD moves from research into clinical care there will be increased demand to communicate genomic results to families and facilitate understanding of the significance of these results [45], [46]. This task will fall to genetic professionals/counsellors and other health care providers in turn [47], [48], [49]. Guidelines and best practice reports on how to effectively communicate this information are limited. Existing literature centers on the consenting process for NGS and provides recommendations for topics to cover in the pre-test discussion [50]. Little is written about the post-test counselling approach, specifically regarding the challenges of how to present genomic results, how to explain their meaning, how to counsel about implications for patients and their families, and how to discuss the remaining uncertainty. Although the challenges have been recognized, no practical paradigms exist in the pediatric setting for communicating genomic data, especially for complex disorders like ASD.
Here, we present a model to facilitate communication regarding the complexities of ASD, where clinical and genetic heterogeneity, as well as overlapping neurological conditions are inherent. We outline an approach for counselling families about genomic results grounded in our experience from counselling families participating in an ASD research study with rationale from the literature. The resources and tools developed by our group, shared below, are tailored for ASD but can be adapted and applied to other neurodevelopmental conditions.
Section snippets
Complexity of ASD
ASD is a good paradigm to showcase the complexity of neurodevelopmental conditions. Not only do individuals with ASD present with a broad clinical spectrum, the genetic factors involved in ASD are varied and complex, with some variants being inherited and others occurring for the first time in the child with ASD (de novo). Non-syndromic forms of ASD are considered to have multifactorial inheritance, where genetic risk factors and environmental risk factors both may play a role. It is the
Genetic etiology
The rapid advancement in genome sequencing technology has enabled the identification of an increasing number of genetic factors associated with ASD and other neurodevelopmental disorders [23], [24], [29], [30], [31], [32], [33]. However, the identification of new variants is outpacing our ability to interpret their significance. Every individual in the population carries genetic variants, the majority of which do not impact health or development (benign); other variants disrupt the typical
Approach to communicating genomic information
Data from the literature suggests that families value genetic testing and genetic counselling in spite of the uncertainty regarding risk estimates [89], [90], [91], [92]. The task of explaining genomic results, in the context of a multifactorial threshold model confounded by overlapping neurodevelopmental conditions poses a daunting challenge. In Table 1, we outline our approach to communicating genomic information grounded from our experience in counselling families about microarray and
Conclusion
The application of genomic technologies will continue to generate even more information about the genetic contributions to ASD and other neurodevelopmental conditions. Although our understanding of the causes of ASD has increased, much uncertainty and complexity still remains, particularly regarding how much a particular variant(s) contributes to ASD and its impact on clinical presentation. Counselling families about the impact of genomic results can be challenging given the limits of our
Funding
This work was supported by grants from the Genome Canada/Ontario Genomics Institute, the Canadian Institutes of Health Research (CIHR), the Ontario Brain Institute, the University of Toronto McLaughlin Centre, Autism Speaks, and the Canadian Institute for Advanced Research (CIFAR). S.W.S. is funded by the GlaxoSmithKline-CIHR Chair in Genome Sciences at the University of Toronto and The Hospital for Sick Children.
Conflict of interest
S.W.S. is on the Scientific Advisory Boards of Autism Speaks, Deep Genomics, Lineagen, and Population Diagnostics.
References (105)
- et al.
Structural variation of chromosomes in Autism Spectrum Disorder
Am. J. Hum. Genet.
(2008) - et al.
Detection of clinically relevant genetic variants in Autism Spectrum Disorder by whole-genome sequencing
Am. J. Hum. Genet.
(2013) Etiological heterogeneity in Autism Spectrum Disorders: more than 100 genetic and genomic disorders and still counting
Brain Res.
(2011)- et al.
Genetic evaluation of autism
Semin. Pediatr. Neurol.
(2008) - et al.
Autism Sequencing Consortium The autism sequencing consortium: large-scale, high-throughput sequencing in Autism Spectrum Disorders
Neuron
(2012) - et al.
Insights into Autism Spectrum Disorder genomic architecture and biology from 71 risk loci
Neuron
(2015) - et al.
Baron-Cohen S. Autism
Lancet
(2014) - et al.
Gene and miRNA expression profiles in Autism Spectrum Disorders
Brain Res.
(2011) On the origins of autism: the quantitative threshold exposure hypothesis
Med. Hypotheses
(2015)- et al.
Targeted DNA sequencing from Autism Spectrum Disorder brains implicates multiple genetic mechanisms
Neuron
(2015)