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Robinson, Elise

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Robinson

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Elise

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Robinson, Elise

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2008 - 200912010 - 201912

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Author's Publications: search.filters.isAuthorOfPublication.a5d25e31-5f47-4eb9-a2df-9264dbfb9178

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Now showing 1 - 10 of 13
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    Identification of common genetic risk variants for autism spectrum disorder
    (Springer Science and Business Media LLC, 2019-02-25) Grove, Jakob; Ripke, Stephan; Als, Thomas D.; Mattheisen, Manuel; Walters, Raymond; Won, Hyejung; Pallesen, Jonatan; Agerbo, Esben; Andreassen, Ole A.; Anney, Richard; Awashti, Swapnil; Belliveau, Rich; Bettella, Francesco; Buxbaum, Joseph D.; Bybjerg-Grauholm, Jonas; Bækvad-Hansen, Marie; Cerrato, Felecia; Chambert, Kimberly; Christensen, Jane H.; Churchhouse, Claire; Dellenvall, Karin; Demontis, Ditte; De Rubeis, Silvia; Devlin, Bernie; Djurovic, Srdjan; Dumont, Ashley; Goldstein, Jacqueline; Hansen, Christine S.; Hauberg, Mads Engel; Hollegaard, Mads V.; Hope, Sigrun; Howrigan, Daniel; Huang, Hailiang; Hultman, Christina M.; Klei, Lambertus; Maller, Julian; Martin, Joanna; Martin, Alicia R.; Moran, Jennifer; Nyegaard, Mette; Nærland, Terje; Palmer, Duncan; Palotie, Aarno; Pedersen, Carsten Bøcker; Pedersen, Marianne Giørtz; Poterba, Timothy; Pourcain, Beate St; Poulsen, Jesper Buchhave; Qvist, Per; Rehnström, Karola; Reichenberg, Abraham; Reichert, Jennifer; Robinson, Elise; Roeder, Kathryn; Roussos, Panos; Saemundsen, Evald; Sandin, Sven; Satterstrom, F. Kyle; Davey Smith, George; Stefansson, Hreinn; Steinberg, Stacy; Stevens, Christine R.; Sullivan, Patrick F.; Turley, Patrick; Walters, G. Bragi; Xu, Xinyi; Stefansson, Kari; Geschwind, Daniel H.; Nordentoft, Merete; Hougaard, David M.; Werge, Thomas; Mors, Ole; Mortensen, Preben Bo; Neale, Benjamin; Daly, Mark; Børglum, Anders D.
    Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of neurodevelopmental phenotypes diagnosed in more than 1% of children. Common genetic variants contribute substantially to ASD susceptibility, but to date no individual variants have been robustly associated with ASD. With a marked sample size increase from a unique Danish population resource, we report a genome-wide association meta-analysis of 18,381 ASD cases and 27,969 controls that identifies five genome-wide significant loci. Leveraging GWAS results from three phenotypes with significantly overlapping genetic architectures (schizophrenia, major depression, and educational attainment), seven additional loci shared with other traits are identified at equally strict significance levels. Dissecting the polygenic architecture we find both quantitative and qualitative polygenic heterogeneity across ASD subtypes, in contrast to what is typically seen in other complex disorders. These results highlight biological insights, particularly relating to neuronal function and corticogenesis and establish that GWAS performed at scale will be much more productive in the near term in ASD, just as it has been in a broad range of important psychiatric and diverse medical phenotypes.
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    A framework for the interpretation of de novo mutation in human disease
    (2014) Samocha, Kaitlin E.; Robinson, Elise; Sanders, Stephan J.; Stevens, Christine; Sabo, Aniko; McGrath, Lauren M.; Kosmicki, Jack; Rehnström, Karola; Mallick, Swapan; Kirby, Andrew; Wall, Dennis P.; MacArthur, Daniel; Gabriel, Stacey B.; dePristo, Mark; Purcell, Shaun M.; Palotie, Aarno; Boerwinkle, Eric; Buxbaum, Joseph D.; Cook, Edwin H.; Gibbs, Richard A.; Schellenberg, Gerard D.; Sutcliffe, James S.; Devlin, Bernie; Roeder, Kathryn; Neale, Benjamin; Daly, Mark
    Spontaneously arising (‘de novo’) mutations play an important role in medical genetics. For diseases with extensive locus heterogeneity – such as autism spectrum disorders (ASDs) – the signal from de novo mutations (DNMs) is distributed across many genes, making it difficult to distinguish disease-relevant mutations from background variation. We provide a statistical framework for the analysis of DNM excesses per gene and gene set by calibrating a model of de novo mutation. We applied this framework to DNMs collected from 1,078 ASD trios and – while affirming a significant role for loss-of-function (LoF) mutations – found no excess of de novo LoF mutations in cases with IQ above 100, suggesting that the role of DNMs in ASD may reside in fundamental neurodevelopmental processes. We also used our model to identify ~1,000 genes that are significantly lacking functional coding variation in non-ASD samples and are enriched for de novo LoF mutations identified in ASD cases.
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    The genetic architecture of pediatric cognitive abilities in the Philadelphia Neurodevelopmental Cohort
    (2014) Robinson, Elise; Kirby, Andrew; Ruparel, Kosha; Yang, Jian; McGrath, Lauren; Anttila, Verneri; Neale, Benjamin; Merikangas, Kathleen; Lehner, Thomas; Sleiman, Patrick M.A.; Daly, Mark; Gur, Ruben; Gur, Raquel; Hakonarson, Hakon
    The objective of this analysis was to examine the genetic architecture of diverse cognitive abilities in children and adolescents, including the magnitude of common genetic effects and patterns of shared and unique genetic influences. Subjects included 3,689 members of the Philadelphia Neurodevelopmental Cohort, a general population sample of ages 8-21 years who completed an extensive battery of cognitive tests. We used genome-wide complex trait analysis (GCTA) to estimate the SNP-based heritability of each domain, as well as the genetic correlation between all domains that showed significant genetic influence. Several of the individual domains suggested strong influence of common genetic variants (e.g. reading ability, h2g=0.43, p=4e-06; emotion identification, h2g=0.36, p=1e-05; verbal memory, h2g=0.24, p=0.005). The genetic correlations highlighted trait domains that are candidates for joint interrogation in future genetic studies (e.g. language reasoning and spatial reasoning, r(g)=0.72, p=0.007). These results can be used to structure future genetic and neuropsychiatric investigations of diverse cognitive abilities.
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    Polygenic risk for schizophrenia and measured domains of cognition in individuals with psychosis and controls
    (Nature Publishing Group UK, 2018) Shafee, Rebecca; Nanda, Pranav; Padmanabhan, Jaya; Tandon, Neeraj; Alliey-Rodriguez, Ney; Kalapurakkel, Sreeja; Weiner, Daniel; Gur, Raquel E.; Keefe, Richard S. E.; Hill, Scot K.; Bishop, Jeffrey R.; Clementz, Brett A.; Tamminga, Carol A.; Gershon, Elliot S.; Pearlson, Godfrey D.; Keshavan, Matcheri; Sweeney, John A.; McCarroll, Steven; Robinson, Elise
    Psychotic disorders including schizophrenia are commonly accompanied by cognitive deficits. Recent studies have reported negative genetic correlations between schizophrenia and indicators of cognitive ability such as general intelligence and processing speed. Here we compare the effect of polygenetic risk for schizophrenia (PRSSCZ) on measures that differ in their relationships with psychosis onset: a measure of current cognitive abilities (the Brief Assessment of Cognition in Schizophrenia, BACS) that is greatly reduced in psychotic disorder patients, a measure of premorbid intelligence that is minimally affected by psychosis onset (the Wide-Range Achievement Test, WRAT); and educational attainment (EY), which covaries with both BACS and WRAT. Using genome-wide single nucleotide polymorphism (SNP) data from 314 psychotic and 423 healthy research participants in the Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP) Consortium, we investigated the association of PRSSCZ with BACS, WRAT, and EY. Among apparently healthy individuals, greater genetic risk for schizophrenia (PRSSCZ) was significantly associated with lower BACS scores (r = −0.17, p = 6.6 × 10−4 at PT = 1 × 10−4), but not with WRAT or EY. Among individuals with psychosis, PRSSCZ did not associate with variations in any of these three phenotypes. We further investigated the association between PRSSCZ and WRAT in more than 4500 healthy subjects from the Philadelphia Neurodevelopmental Cohort. The association was again null (p > 0.3, N = 4511), suggesting that different cognitive phenotypes vary in their etiologic relationship with schizophrenia.
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    Refining the role of de novo protein truncating variants in neurodevelopmental disorders using population reference samples
    (2017) Kosmicki, Jack; Samocha, Kaitlin E.; Howrigan, Daniel; Sanders, Stephan J.; Slowikowski, Kamil; Lek, Monkol; Karczewski, Konrad; Cutler, David J.; Devlin, Bernie; Roeder, Kathryn; Buxbaum, Joseph D.; Neale, Benjamin; MacArthur, Daniel; Wall, Dennis P.; Robinson, Elise; Daly, Mark
    Recent research has uncovered a significant role for de novo variation in neurodevelopmental disorders. Using aggregated data from 9246 families with autism spectrum disorder, intellectual disability, or developmental delay, we show ~1/3 of de novo variants are independently observed as standing variation in the Exome Aggregation Consortium’s cohort of 60,706 adults, and these de novo variants do not contribute to neurodevelopmental risk. We further use a loss-of-function (LoF)-intolerance metric, pLI, to identify a subset of LoF-intolerant genes that contain the observed signal of associated de novo protein truncating variants (PTVs) in neurodevelopmental disorders. LoF-intolerant genes also carry a modest excess of inherited PTVs; though the strongest de novo impacted genes contribute little to this, suggesting the excess of inherited risk resides lower-penetrant genes. These findings illustrate the importance of population-based reference cohorts for the interpretation of candidate pathogenic variants, even for analyses of complex diseases and de novo variation.
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    A longitudinal twin study of the association between childhood autistic traits and psychotic experiences in adolescence
    (BioMed Central, 2015) Taylor, Mark J.; Robinson, Elise; Happé, Francesca; Bolton, Patrick; Freeman, Daniel; Ronald, Angelica
    Background: This twin study investigated whether autistic traits during childhood were associated with adolescent psychotic experiences. Methods: Data were collected from a community sample of approximately 5000 twin pairs, which included 32 individuals with diagnosed autism spectrum conditions (ASC). Parents rated autistic traits in the twins at four points between ages 8–16 years. Positive, negative, and cognitive psychotic experiences were assessed at age 16 years using self- and parent-report scales. Longitudinal twin analyses tested the associations between these measures. Results: Autistic traits correlated weakly or nonsignificantly with positive psychotic experiences (paranoia, hallucinations, and grandiosity), and modestly with cognitive psychotic experiences (cognitive disorganisation). Higher correlations were observed for parent-rated negative symptoms and self-reported anhedonia, although the proportion of variance in both accounted for by autistic traits was low (10 and 31 %, respectively). The majority of the genetic influences on negative symptoms and anhedonia were independent of autistic traits. Additionally, individuals with ASC displayed significantly more negative symptoms, anhedonia, and cognitive disorganisation than controls. Conclusions: Autistic traits do not appear to be strongly associated with psychotic experiences in adolescence; associations were also largely restricted to negative symptoms. Of note, the degree to which the genetic and environmental causes of autistic traits influenced psychotic experiences was limited. These findings thus support a phenotypic and etiological distinction between autistic traits and psychotic experiences. Electronic supplementary material The online version of this article (doi:10.1186/s13229-015-0037-9) contains supplementary material, which is available to authorized users.
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    Language and Traits of Autism Spectrum Conditions: Evidence of Limited Phenotypic and Etiological Overlap
    (2015) Taylor, Mark J.; Charman, Tony; Robinson, Elise; Hayiou-Thomas, Marianna E.; Happé, Francesca; Dale, Philip S.; Ronald, Angelica
    Language difficulties have historically been viewed as integral to autism spectrum conditions (ASC), leading molecular genetic studies to consider whether ASC and language difficulties have overlapping genetic bases. The extent of genetic, and also environmental, overlap between ASC and language is, however, unclear. We hence conducted a twin study of the concurrent association between autistic traits and receptive language abilities. Internet-based language tests were completed by ~3,000 pairs of twins, while autistic traits were assessed via parent ratings. Twin model fitting explored the association between these measures in the full sample, while DeFries-Fulker analysis tested these associations at the extremes of the sample. Phenotypic associations between language ability and autistic traits were modest and negative. The degree of genetic overlap was also negative, indicating that genetic influences on autistic traits lowered language scores in the full sample (mean genetic correlation = −0.13). Genetic overlap was also low at the extremes of the sample (mean genetic correlation = 0.14), indicating that genetic influences on quantitatively defined language difficulties were largely distinct from those on extreme autistic traits. Variation in language ability and autistic traits were also associated with largely different nonshared environmental influences. Language and autistic traits are influenced by largely distinct etiological factors. This has implications for molecular genetic studies of ASC and understanding the etiology of ASC. Additionally, these findings lend support to forthcoming DSM-5 changes to ASC diagnostic criteria that will see language difficulties separated from the core ASC communication symptoms, and instead listed as a clinical specifier.
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    Ultra-rare disruptive and damaging mutations influence educational attainment in the general population
    (2016) Ganna, Andrea; Genovese, Giulio; Howrigan, Daniel; Byrnes, Andrea; Kurki, Mitja; Zekavat, Seyedeh M.; Whelan, Christopher W.; Kals, Mart; Nivard, Michel G.; Bloemendal, Alex; Bloom, Jonathan M.; Goldstein, Jacqueline I.; Poterba, Timothy; Seed, Cotton; Handsaker, Robert; Natarajan, Pradeep; Mägi, Reedik; Gage, Diane; Robinson, Elise; Metspalu, Andres; Salomaa, Veikko; Suvisaari, Jaana; Purcell, Shaun M.; Sklar, Pamela; Kathiresan, Sekar; Daly, Mark; McCarroll, Steven; Sullivan, Patrick F.; Palotie, Aarno; Esko, Tõnu; Hultman, Christina; Neale, Benjamin
    Disruptive and damaging ultra-rare variants (URVs) in highly constrained (HC) genes are enriched in individuals with neurodevelopmental disorders. In the general population, this class of variants was associated with a decrease in years of education (YOE; −3.1 months; P-value=3.3×10−8). This effect was stronger among high brain-expressed genes and explained more YOE variance than pathogenic copy number variation, but less than common variants. Disruptive and damaging URVs in HC genes influence the determinants of YOE in the general population.
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    Polygenic transmission disequilibrium confirms that common and rare variation act additively to create risk for autism spectrum disorders
    (2017) Weiner, Daniel; Wigdor, Emilie M.; Ripke, Stephan; Walters, Raymond; Kosmicki, Jack; Grove, Jakob; Samocha, Kaitlin E.; Goldstein, Jacqueline; Okbay, Aysu; Bybjerg-Grauholm, Jonas; Werge, Thomas; Hougaard, David M.; Taylor, Jacob; Skuse, David; Devlin, Bernie; Anney, Richard; Sanders, Stephan J.; Bishop, Somer; Mortensen, Preben Bo; Børglum, Anders D.; Smith, George Davey; Daly, Mark; Robinson, Elise
    Autism spectrum disorder (ASD) risk is influenced by common polygenic and de novo variation. We aimed to clarify the influence of polygenic risk for ASDs and to identify subgroups of ASD cases, including those with strong acting de novo variants, in which polygenic risk is relevant. Using a novel approach called the polygenic transmission disequilibrium test, and data from 6,454 families with a child with ASD, we show that polygenic risk for ASDs, schizophrenia, and greater educational attainment is over transmitted to children with ASDs. These findings hold independent of proband IQ. We find that polygenic variation contributes additively to risk in ASD cases who carry a strong acting de novo variant. Lastly, we show that elements of polygenic risk are independent and differ in their relationship with phenotype. These results confirm that ASDs’ genetic influences are additive and suggest they create risk through at least partially distinct etiologic pathways.
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    Genetic research in autism spectrum disorders
    (Lippincott Williams and Wilkins, 2015) Robinson, Elise; Neale, Benjamin; Hyman, Steven
    Purpose of review The recent explosion of genetic findings in autism spectrum disorder (ASD) research has improved knowledge of the disorder's underlying biology and etiologic architecture. This review introduces concepts and results from recent genetic studies and discusses the manner in which those findings can influence the trajectory of ASD research. Recent findings Large consortium studies have associated ASDs with many types of genetic risk factors, including common polygenic risk, de novo single nucleotide variants, copy number variants, and rare inherited variants. In aggregate, these results confirm the heterogeneity and complexity of ASDs. The rare variant findings in particular point to genes and pathways that begin to bridge the gap between behavior and biology. Summary Genetic studies have the potential to identify the biological underpinnings of ASDs and other neuropsychiatric disorders. The data they generate are already being used to examine disease pathways and pathogenesis. The results also speak to ASD heterogeneity and, in the future, may be used to stratify research studies and treatment trials.