Etiology of Autism Spectrum Disorders and Autistic Traits Over Time
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Phenotyping, Etiological Factors, and Biomarkers: Toward Precision Medicine in Autism Spectrum Disorders David Q
Special Article Phenotyping, Etiological Factors, and Biomarkers: Toward Precision Medicine in Autism Spectrum Disorders David Q. Beversdorf, MD; MISSOURI AUTISM SUMMIT CONSORTIUM* ABSTRACT: Despite the progress made in understanding the biology of autism spectrum disorder (ASD), effective biological interventions for the core symptoms remain elusive. Because of the etiological hetero- geneity of ASD, identification of a “one-size-fits-all” treatment approach will likely continue to be chal- lenging. A meeting was convened at the University of Missouri and the Thompson Center to discuss strategies for stratifying patients with ASD for the purpose of moving toward precision medicine. The “white paper” presented here articulates the challenges involved and provides suggestions for future solutions. (J Dev Behav Pediatr 37:659–673, 2016) Index terms: autism, biomarkers, precision medicine. Significant progress has been made in understanding Phase II clinical trials.5 This perceived “failure” is likely the biology of autism spectrum disorder (ASD) over the due to the etiological heterogeneity of the subjects with past decade. However, effective biological interventions ASD who received the specific treatment. A review of the for the core symptoms remain elusive. Instead of a single data for the arbaclofen study suggests a strong positive or even a small set of causes, a consensus has emerged response for at least a subset of fragile X and patients with that genetic and environmental causes of ASD are likely ASD. Positive responses in some individuals, but other- multifactorial. The genetic architecture of ASD has be- wise statistically nonsignificant beneficial group effects, come increasingly clear and increasingly complex with are characteristic of most of these early pharmacological estimates of at least 1000 genetic alterations associated treatment trials of ASD. -
Autism Diagnosis Differentiates Neurophysiological Responses To
Tye et al. Journal of Neurodevelopmental Disorders (2015) 7:33 DOI 10.1186/s11689-015-9129-2 RESEARCH Open Access Autism diagnosis differentiates neurophysiological responses to faces in adults with tuberous sclerosis complex Charlotte Tye1,2*, Teresa Farroni3,4, Ágnes Volein4, Evelyne Mercure5, Leslie Tucker4, Mark H. Johnson4 and Patrick F. Bolton1,2 Abstract Background: Autism spectrum disorder (ASD) is a common and highly heritable neurodevelopmental disorder that is likely to be the outcome of complex aetiological mechanisms. One strategy to provide insight is to study ASD within tuberous sclerosis complex (TSC), a rare disorder with a high incidence of ASD, but for which the genetic cause is determined. Individuals with ASD consistently demonstrate face processing impairments, but these have not been examined in adults with TSC using event-related potentials (ERPs) that are able to capture distinct temporal stages of processing. Methods: For adults with TSC (n = 14), 6 of which had a diagnosis of ASD, and control adults (n = 13) passively viewed upright and inverted human faces with direct or averted gaze, with concurrent EEG recording. Amplitude and latency of the P1 and N170 ERPs were measured. Results: Individuals with TSC + ASD exhibited longer N170 latencies to faces compared to typical adults. Typical adults and adults with TSC-only exhibited longer N170 latency to inverted versus upright faces, whereas individuals with TSC + ASD did not show latency differences according to face orientation. In addition, individuals with TSC + ASD showed increased N170 latency to averted compared to direct gaze, which was not demonstrated in typical adults. A reduced lateralization was shown for the TSC + ASD groups on P1 and N170 amplitude. -
Sleep As a Translationally-Relevant Endpoint in Studies of Autism Spectrum Disorder (ASD)
www.nature.com/npp NEUROPSYCHOPHARMACOLOGY REVIEWS Sleep as a translationally-relevant endpoint in studies of autism spectrum disorder (ASD) Galen Missig 1, Christopher J. McDougle2,3 and William A. Carlezon Jr.1 Sleep has numerous advantages for aligning clinical and preclinical (basic neuroscience) studies of neuropsychiatric illness. Sleep has high translational relevance, because the same endpoints can be studied in humans and laboratory animals. In addition, sleep experiments are conducive to continuous data collection over long periods (hours/days/weeks) and can be based on highly objective neurophysiological measures. Here, we provide a translationally-oriented review on what is currently known about sleep in the context of autism spectrum disorder (ASD), including ASD-related conditions, thought to have genetic, environmental, or mixed etiologies. In humans, ASD is frequently associated with comorbid medical conditions including sleep disorders. Animal models used in the study of ASD frequently recapitulate dysregulation of sleep and biological (diurnal, circadian) rhythms, suggesting common pathophysiologies across species. As our understanding of the neurobiology of ASD and sleep each become more refined, it is conceivable that sleep-derived metrics may offer more powerful biomarkers of altered neurophysiology in ASD than the behavioral tests currently used in humans or lab animals. As such, the study of sleep in animal models for ASD may enable fundamentally new insights on the condition and represent a basis for strategies that enable the development of more effective therapeutics. Neuropsychopharmacology (2020) 45:90–103; https://doi.org/10.1038/s41386-019-0409-5 INTRODUCTION dysregulation are frequently comorbid and thus also represent A recent estimate suggests that as many as 2.5% of children have important aspects of these conditions [10]. -
NCEN Cognitive and Executive Functions in Anorexia Nervosa Ten Years After Onset of Eating Disorder
JOURNAL OF CLINICAL AND EXPERIMENTAL NEUROPSYCHOLOGY 2007, 29 (2), 170–178 NCEN Cognitive and executive functions in anorexia nervosa ten years after onset of eating disorder Cognitive and Executive Functions in Anorexia NervosaI. Carina Gillberg,1 Maria Råstam,1 Elisabet Wentz,2 and Christopher Gillberg1 1Child and Adolescent Psychiatry, Göteborg University, Goteborg, Sweden 2Child and Adolescent Psychiatry, Göteborg University, The Swedish National Healthcare and Sciences, Sweden In a longitudinal study, the authors explore the course of general cognition in anorexia nervosa (AN) over time and compare general cognitive problems, executive function deficits, attentional problems and visuomotor dys- functions across AN individuals and healthy controls. A community-based sample of adolescent onset AN cases (n = 40–47) was contrasted with an age-, sex- and school matched comparison group (n = 47–51) on the Wechsler Adult Intelligence Scale-Revised, the Wisconsin Card Sorting Test and Luria word recall test at a mean age of 24 years. Only two of the cases tested were underweight at the time of the study. The Wechsler scale had also been administered when the groups had a mean age of 21 years. There were few differences across the two groups even though the comparison group performed significantly better on the Object Assembly subtest of the WAIS-R. IQ increased slightly but significantly over time in both groups. There was no relationship between level of starvation and poor results on tests in the AN group. A subgroup of the subjects had autism spectrum disorders. In this sub- group there were cases with test profiles similar to those observed in autism and Asperger syndrome, just as there had been on testing three years previously. -
The Genetics of Autism Spectrum Disorders and Related Neuropsychiatric Disorders in Childhood
AJP in Advance. Published August 4, 2010 (doi: 10.1176/appi.ajp.2010.10020223) Article The Genetics of Autism Spectrum Disorders and Related Neuropsychiatric Disorders in Childhood Paul Lichtenstein, Ph.D. Objective: Autism spectrum disorders tic disorder. Genetic effects accounted are considered to be among the most for 80% (95% CI=29–91) of the variation Eva Carlström, M.Sc. heritable mental disorders, a notion in liability for autism spectrum disorders, based on surprisingly sparse data from 79% (95% CI=61–88) for ADHD, 70% (95% small clinical studies. Population-based CI=35–83) for developmental coordina- Maria Råstam, M.D., Ph.D. studies of the heritability of other neuro- tion disorder, and 56% (95% CI=37–68) psychiatric disorders and comorbidities for tic disorder. Among monozygotic co- Christopher Gillberg, M.D., Ph.D. among them have also been sparse. The twins of children with autism spectrum authors sought to address both of these disorders, the probability of having a Henrik Anckarsäter, M.D., Ph.D. issues. diagnosis of ADHD was 44%, compared with 15% for dizygotic co-twins. Differ- Method: Parents of all Swedish 9- and ences in cross-disorder effects between 12-year-old twin pairs born between 1992 monozygotic and dizygotic twins were and 2000 (N=10,895) were interviewed observed for most other comorbidities, regarding autism spectrum disorders and substantial proportions of the ge- and associated conditions (response rate, netic variance for autism spectrum disor- 80%). Concordance rates and structural ders was shared with each of the other equation modeling were used for evalu- disorders. ating causes for familial aggregation and overlap between conditions. -
Contribution of Multiple Inherited Variants to Autism Spectrum Disorder (ASD) in a Family with 3 Affected Siblings
G C A T T A C G G C A T genes Article Contribution of Multiple Inherited Variants to Autism Spectrum Disorder (ASD) in a Family with 3 Affected Siblings Jasleen Dhaliwal 1 , Ying Qiao 1,2, Kristina Calli 1,2, Sally Martell 1,2, Simone Race 3,4,5, Chieko Chijiwa 1,5, Armansa Glodjo 3,5, Steven Jones 1,6 , Evica Rajcan-Separovic 2,7, Stephen W. Scherer 4 and Suzanne Lewis 1,2,5,* 1 Department of Medical Genetics, University of British Columbia (UBC), Vancouver, BC V6H 3N1, Canada; [email protected] (J.D.); [email protected] (Y.Q.); [email protected] (K.C.); [email protected] (S.M.); [email protected] (C.C.); [email protected] (S.J.) 2 BC Children’s Hospital, Vancouver, BC V5Z 4H4, Canada; [email protected] 3 Department of Pediatrics, University of British Columbia (UBC), Vancouver, BC V6T 1Z7, Canada; [email protected] (S.R.); [email protected] (A.G.) 4 The Centre for Applied Genomics and McLaughlin Centre, Hospital for Sick Children and University of Toronto, Toronto, ON M5G 0A4, Canada; [email protected] 5 BC Children’s and Women’s Health Center, Vancouver, BC V6H 3N1, Canada 6 Michael Smith Genome Sciences Centre, Vancouver, BC V5Z 4S6, Canada 7 Department of Pathology and Laboratory Medicine, University of British Columbia (UBC), Vancouver, BC V6T 1Z7, Canada * Correspondence: [email protected] Abstract: Autism Spectrum Disorder (ASD) is the most common neurodevelopmental disorder in Citation: Dhaliwal, J.; Qiao, Y.; Calli, children and shows high heritability. -
Trait Aggression in Adult Psychiatry Is Predicted by Childhood Hyperactivity
LUP Lund University Publications Institutional Repository of Lund University This is an author produced version of a paper published in Psychiatry Research. This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination. Citation for the published paper: Björn Hofvander, Ola Ståhlberg, Agneta Nydén, Elisabet Wentz, Alessio Degl'innocenti, Eva Billstedt, Anders Forsman, Christopher Gillberg, Thomas Nilsson, Maria Råstam, Henrik Anckarsäter "Life History of Aggression scores are predicted by childhood hyperactivity, conduct disorder, adult substance abuse, and low cooperativeness in adult psychiatric patients." Psychiatry Research 2010 Aug 2 http://dx.doi.org/10.1016/j.psychres.2010.05.008 Access to the published version may require journal subscription. Published with permission from: Elsevier Life History of Aggression scores are predicted by childhood hyperactivity, conduct disorder, adult substance abuse, and low cooperativeness in adult psychiatric patients Running head: Aggression in adults with autism spectrum disorders or AD/HD Björn Hofvander*a, Ola Ståhlbergb, Agneta Nydénc, Elisabet Wentzc, d, Alessio degl’Innocentib, Eva Billstedtb,c, Anders Forsmanb, Christopher Gillbergc, Thomas Nilssonb, Maria Rastamc, e, Henrik Anckarsätera,b aForensic Psychiatry, Department of Clinical Sciences, Lund University, Sweden bForensic psychiatry, Institute of neuroscience and physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden cChild and Adolescent Psychiatry, Institute -
Heritability of Autism Spectrum Disorder in a UK Population-Based Twin Sample
Research Original Investigation Heritability of Autism Spectrum Disorder in a UK Population-Based Twin Sample Emma Colvert, PhD; Beata Tick, MSc; Fiona McEwen, PhD; Catherine Stewart, PhD; Sarah R. Curran, MD; Emma Woodhouse, BSc; Nicola Gillan, BSc; Victoria Hallett, PhD; Stephanie Lietz, PhD; Tracy Garnett, DClinPsych; Angelica Ronald, PhD; Robert Plomin, PhD; Frühling Rijsdijk, PhD; Francesca Happé, PhD; Patrick Bolton, MD Supplemental content at IMPORTANCE Most evidence to date highlights the importance of genetic influences on the jamapsychiatry.com liability to autism and related traits. However, most of these findings are derived from clinically ascertained samples, possibly missing individuals with subtler manifestations, and obtained estimates may not be representative of the population. OBJECTIVES To establish the relative contributions of genetic and environmental factors in liability to autism spectrum disorder (ASD) and a broader autism phenotype in a large population-based twin sample and to ascertain the genetic/environmental relationship between dimensional trait measures and categorical diagnostic constructs of ASD. DESIGN, SETTING, AND PARTICIPANTS We used data from the population-based cohort Twins Early Development Study, which included all twin pairs born in England and Wales from January 1, 1994, through December 31, 1996. We performed joint continuous-ordinal liability threshold model fitting using the full information maximum likelihood method to estimate genetic and environmental parameters of covariance. Twin pairs underwent the following assessments: the Childhood Autism Spectrum Test (CAST) (6423 pairs; mean age, 7.9 years), the Development and Well-being Assessment (DAWBA) (359 pairs; mean age, 10.3 years), the Autism Diagnostic Observation Schedule (ADOS) (203 pairs; mean age, 13.2 years), the Autism Diagnostic Interview–Revised (ADI-R) (205 pairs; mean age, 13.2 years), and a best-estimate diagnosis (207 pairs). -
Autism Diagnosis As Social Process
Drawing a line in the sand: Autism diagnosis as social process Submitted by Jennie Hayes to the University of Exeter as a thesis for the degree of Doctor of Philosophy in Medical Studies December 2019 Submitted by Jennie Hayes, this thesis is available for Library use on the understanding that it is copyright material and that no quotation from the thesis may be published without proper acknowledgement. I certify that all material in this thesis which is not my own work has been identified and that no material has previously been submitted and approved for the award of a degree by this or any other University. Signature……………………………………………………………………………… 1 2 This PhD project was funded by a Wellcome Trust Investigator Award ‘Exploring Diagnosis’ 3 4 Abstract This PhD explored how clinicians make diagnostic decisions about autism in secondary care. Symptoms of autism are considered to be widely heterogeneous, meaning that decisions about where the diagnostic threshold lies can be challenging. Diagnosis in the UK is usually undertaken by multi- disciplinary teams (MDTs) and can involve numerous stages of decision-making in different contexts across an extended time period. The process of diagnosis is complex and multi-faceted, and can be particularly challenging when cases are considered ‘borderline’ or where there are coexisting conditions. A qualitative approach was used in four studies. A narrative review of twenty- one clinical guidelines was conducted (study one); observation of eighteen assessment team meetings on four sites was undertaken (studies two and three); and sixteen interviews were conducted with clinicians engaged in autism diagnosis (study four). -
Diagnostic Change and the Genetic Makeup of the Autism Population1
Looping Genomes: Diagnostic Change and the Genetic Makeup of the Autism Population1 Daniel Navon University of California, San Diego Gil Eyal Columbia University This article builds on Hacking’s framework of “dynamic nominal- ism” to show how knowledge about biological etiology can interact with the “kinds of people” delineated by diagnostic categories in ways that “loop” or modify both over time. The authors use historical ma- terials to show how “geneticization” played a crucial role in binding together autism as a biosocial community and how evidence from ge- netics research later made an important contribution to the diagnostic expansion of autism. In the second part of the article, the authors draw on quantitative and qualitative analyses of autism rates over time in several rare conditions that are delineated strictly according to geno- mic mutations in order to demonstrate that these changes in diagnos- tic practice helped to both increase autism’s prevalence and create its enormous genetic heterogeneity. Thus, a looping process that began with geneticization and involved the social effects of genetics research itself transformed the autism population and its genetic makeup. It is by now well recognized that most traits and disease categories do not line up in a straightforward way with characteristics of the human genome ðLock 2005; Wade 2009Þ. Nevertheless, the project of explaining, tracing, 1 This study was conducted with the generous support of the USA-Israel Binational Sci- ence Foundation ðgrant 2010175Þ and a seed grant from the Institute for Social and Economic Research and Policy at Columbia University. We would like to thank the AJS reviewers as well as Peter Bearman, Alberto Cambrosio, James Evans, Uri Shwed, Claire Edington, Daniel Wojtkiewicz, Ayelet Evrony, and audiences at Northwestern © 2016 by The University of Chicago. -
Professor Christopher Gillberg Date: April 20 & April 21 2015 Time: 9Am - 4:30Pm Location: Deakin University, Melbourne Burwood Campus
Irabina Autism Services Presents Specialist Mentor Class with World Renowned Professor Gillberg Professor Gillberg is the most productive autism researcher in the world, and is on www.irabina.com Thomson Reuter´s 2014 list of the world´s most influential researchers (all fields). He has been cited 25103 times. Professor Christopher Gillberg Date: April 20 & April 21 2015 Time: 9am - 4:30pm Location: Deakin University, Melbourne Burwood Campus. 221 Burwood Highway, Burwood, VIC 3125 Christopher Gillberg is Professor of Cost: $795 (Early Bird $725) includes catering Child and Adolescent Psychiatry at the Register: http://irabina.com/?page_id=67 University of Gothenburg, Sweden, since the mid 1980s. He heads the Gillberg Neuropsychiatry Centre there (www. Monday 20 April 2015 Tuesday 21 April 2015 gnc.gu.se). Professor Gillberg has been ESSENCE throughout the life-span Autism in new context 2015: Autism involved with New York University Medical Plus versus Autism Only School, Universities of London, University This workshop aims to provide an College London (Institute of Child Health), update on the following areas: This workshop aims to provide an University of Glasgow, University of • ESSENCE: presentation of the update on the following areas: Edinburgh, and Kochi University, Japan. content • The definitions of autism • Overview of disorders subsumed • Is there really a spectrum? Christopher Gillberg has published more than 600 peer-reviewed scientific papers under ESSENCE • Autism Only (565 of which are currently on the NIG • What is -
The Heritability of Autism Spectrum Disorder R01CA203809 from the National Cancer Institute (NCI; Dr Mccabe) of the National Institutes of Health (NIH)
Letters Conflict of Interest Disclosures: All authors have completed and submitted the 6. Centers for Disease Control and Prevention. TBI data and statistics: ICMJE Form for Disclosure of Potential Conflicts of Interest and none were emergency department visits, hospitalizations and deaths, 2001–2010. reported. https://www.cdc.gov/traumaticbraininjury/data/index.html. Accessed Funding/Support: This work was supported by research grants L40DA042452 December 15, 2016. (Dr Veliz), R01DA031160, and R01DA036541 (both Dr McCabe) from the National Institute on Drug Abuse (NIDA), K23HD078502 from the National Institute of Child Health and Human Development (Dr Eckner), and The Heritability of Autism Spectrum Disorder R01CA203809 from the National Cancer Institute (NCI; Dr McCabe) of the National Institutes of Health (NIH). The Monitoring the Future data were Studies have found that autism spectrum disorder (ASD) ag- collected under grant R01DA001411 from NIDA (Dr Schulenberg). gregates in families, and twin studies estimate the propor- Role of the Funder/Sponsor: The NIH had no involvement in the design and tion of the phenotype variance due to genetic factors (herita- conduct of the study; collection, management, analysis, and interpretation of bility) to be about 90%.1 the data; preparation, review, or approval of the manuscript; and decision to In a previous study,2 ASD heritability was estimated to be submit the manuscript for publication. 0.50, and shared familial environmental influences to be 0.04. Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official views of NIDA, NCI, or the NIH. To define presence or absence of ASD, the study used a data 1.