Publications by authors named "Elise B Robinson"

Article Synopsis
  • There is increasing awareness that signs of autism can emerge beyond the first three years of life, raising questions about the impact of age at diagnosis on developmental trajectories.
  • Research using data from four birth cohorts reveals two distinct socio-emotional behavior patterns linked to the age when autism is diagnosed.
  • The study also finds that the age at diagnosis has a heritable component and is related to genetic factors, suggesting a complex relationship between autism, the timing of diagnosis, and co-occurring conditions like ADHD and mental health issues.
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Few policies and little research exist regarding the disclosure of genomic results to research participants in Africa. As understanding participant preferences would be pivotal to the success of the feedback process, this study set out to address this issue by engaging with enrolled participants from an ongoing genomics research project on neurodevelopmental disorders with the aim to assess the anticipated impact of receiving pertinent results and explore the preferences for feedback in a South African context. Twelve semi-structured interviews were conducted with 17 parents of children participating in the research study.

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Single cell CRISPR screens such as Perturb-seq enable transcriptomic profiling of genetic perturbations at scale. However, the data produced by these screens are often noisy due to cost and technical constraints, limiting power to detect true effects with conventional differential expression analyses. Here, we introduce TRanscriptome-wide Analysis of Differential Expression (TRADE), a statistical framework which estimates the transcriptome-wide distribution of true differential expression effects from noisy gene-level measurements.

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Data within biobanks capture broad yet detailed indices of human variation, but biobank-wide insights can be difficult to extract due to complexity and scale. Here, using large-scale factor analysis, we distill hundreds of variables (diagnoses, assessments and survey items) into 35 latent constructs, using data from unrelated individuals with predominantly estimated European genetic ancestry in UK Biobank. These factors recapitulate known disease classifications, disentangle elements of socioeconomic status, highlight the relevance of psychiatric constructs to health and improve measurement of pro-health behaviours.

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Few policies and little research exist regarding the disclosure of genomic results to research participants in Africa. As understanding participant preferences would be pivotal to the success of the feedback process, this study set out to address this issue by engaging with enrolled participants from an ongoing genomics research project on neurodevelopmental disorders with the aim to assess the anticipated impact of receiving pertinent results and explore the preferences for feedback in a South-African context. Twelve semi-structured interviews were conducted with 17 parents of children participating in the research study.

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Article Synopsis
  • The study explores positive assortative mating (AM) in autism, focusing on whether AM patterns differ between autism subgroups with and without intellectual disability (ID).
  • It analyzed autism data from two large family-based collections, revealing that both subgroups exhibited similar levels of phenotypic and ancestry-related AM, but no significant AM based on autism polygenic scores.
  • The findings indicate that ancestry-related AM increases genetic linkage disequilibrium, but the study's limitation of focusing on individuals of European ancestry may restrict the applicability of these insights to non-European populations.
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Genetic association studies have made significant contributions to our understanding of the etiology of neurodevelopmental disorders (NDDs). However, these studies rarely focused on the African continent. The NeuroDev Project aims to address this diversity gap through detailed phenotypic and genetic characterization of children with NDDs from Kenya and South Africa.

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Article Synopsis
  • Autism spectrum disorder (ASD) is diagnosed more often in males than females, and studies suggest a "female protective effect" (FPE) could explain this difference.
  • Research using the Danish iPSYCH resource shows that female ASD cases have siblings with higher ASD rates compared to male ASD cases.
  • Genetic analysis reveals that mothers of ASD cases tend to have higher genetic risk for ASD, supporting the idea that females may be more resilient to inherited genetic factors associated with ASD.
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Both common and rare genetic variants influence complex traits and common diseases. Genome-wide association studies have identified thousands of common-variant associations, and more recently, large-scale exome sequencing studies have identified rare-variant associations in hundreds of genes. However, rare-variant genetic architecture is not well characterized, and the relationship between common-variant and rare-variant architecture is unclear.

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Article Synopsis
  • - This study offers a new method to analyze genetic influences on autism by exploring a large area of the genome instead of just mapping individual gene associations.
  • - Researchers identified a significant region (the 33-Mb p-arm of chromosome 16) that has a higher concentration of genetic factors linked to autism, including the 16p11.2 copy number variant.
  • - The findings show both common and rare genetic variations on chromosome 16 are linked to lower gene expression levels, suggesting they may work together in affecting autism risk.
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Article Synopsis
  • ADHD and autism spectrum disorder (ASD) share significant genetic similarities, with researchers identifying seven shared genetic loci and five that differentiate the two conditions.
  • The differentiating loci show opposite genetic effects in ADHD and ASD and are linked to traits like educational achievement and brain volume, while shared genetics correlate with other psychiatric traits.
  • Individuals with both ADHD and ASD exhibit unique genetic patterns, suggesting that understanding these genetic influences can help clarify the biological underpinnings of each disorder and how they may impact cognitive and psychological traits differently.
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Importance: Presence of developmental delays in autism is well established, yet few studies have characterized variability in developmental milestone attainment in this population.

Objective: To characterize variability in the age at which autistic individuals attain key developmental milestones based on co-occurring intellectual disability (ID), presence of a rare disruptive genetic variant associated with neurodevelopmental disorders (NDD), age at autism diagnosis, and research cohort membership.

Design: The study team harmonized data from 4 cross-sectional autism cohorts: the Autism Genetics Research Exchange (n = 3284; 1997-2015), The Autism Simplex Collection (n = 694; 2008-2011), the Simons Simplex Collection (n = 2753; 2008-2011), and the Simons Foundation Powering Autism Research for Knowledge (n = 10 367; 2016-present).

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Article Synopsis
  • The genetic origins of autism spectrum disorder (ASD) are complex, involving both rare and common genetic factors, with a noticeable difference in risk based on sex, showing that females generally have a higher genetic load.
  • Both de novo mutations and inherited variants are linked to varying levels of symptom severity in children and their parents, and parental age plays a role due to genetic changes over time.
  • Rare genetic variants mainly affect genes related to neuron function, contributing to the diverse spectrum of ASD symptoms and suggesting that genetic influences impact different neurodevelopmental processes.
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  • The study explored genetic variations among 12,893 autistic individuals to better understand the link between genetics and the diverse features of autism.
  • Researchers identified six key factors related to core autism traits, finding that while common genetic variants were linked to these traits, de novo variants were not.
  • The analysis revealed that higher autism polygenic scores (PGS) correlate with a lower chance of co-occurring developmental disabilities, particularly showing that autistic females without intellectual disability inherit more genetic traits than males.
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Unknown SNP-to-gene regulatory architecture complicates efforts to link noncoding GWAS associations with genes implicated by sequencing or functional studies. eQTLs are often used to link SNPs to genes, but expression in bulk tissue explains a small fraction of disease heritability. A simple but successful approach has been to link SNPs with nearby genes via base pair windows, but genes may often be regulated by SNPs outside their window.

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Background: Questions remain regarding whether genetic influences on early life psychopathology overlap with cognition and show developmental variation.

Methods: Using data from 9,421 individuals aged 8-21 from the Philadelphia Neurodevelopmental Cohort, factors of psychopathology were generated using a bifactor model of item-level data from a psychiatric interview. Five orthogonal factors were generated: anxious-misery (mood and anxiety), externalizing (attention deficit hyperactivity and conduct disorder), fear (phobias), psychosis-spectrum, and a general factor.

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Background: Classifying pathogenicity of missense variants represents a major challenge in clinical practice during the diagnoses of rare and genetic heterogeneous neurodevelopmental disorders (NDDs). While orthologous gene conservation is commonly employed in variant annotation, approximately 80% of known disease-associated genes belong to gene families. The use of gene family information for disease gene discovery and variant interpretation has not yet been investigated on a genome-wide scale.

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The exome sequences of approximately 8,000 children with autism spectrum disorder (ASD) and/or attention deficit hyperactivity disorder (ADHD) and 5,000 controls were analyzed, finding that individuals with ASD and individuals with ADHD had a similar burden of rare protein-truncating variants in evolutionarily constrained genes, both significantly higher than controls. This motivated a combined analysis across ASD and ADHD, identifying microtubule-associated protein 1A (MAP1A) as a new exome-wide significant gene conferring risk for childhood psychiatric disorders.

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There are established associations between advanced paternal age and offspring risk for psychiatric and developmental disorders. These are commonly attributed to genetic mutations, especially de novo single nucleotide variants (dnSNVs), that accumulate with increasing paternal age. However, the actual magnitude of risk from such mutations in the male germline is unknown.

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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 individuals with ASD and 27,969 controls that identified five genome-wide-significant loci.

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Genetics provides two major opportunities for understanding human disease-as a transformative line of etiological inquiry and as a biomarker for heritable diseases. In psychiatry, biomarkers are very much needed for both research and treatment, given the heterogenous populations identified by current phenomenologically based diagnostic systems. To date, however, useful and valid biomarkers have been scant owing to the inaccessibility and complexity of human brain tissue and consequent lack of insight into disease mechanisms.

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Successful cognitive development between childhood and adulthood has important consequences for future mental and physical wellbeing, as well as occupational and financial success. Therefore, delineating the genetic influences underlying changes in cognitive abilities during this developmental period will provide important insights into the biological mechanisms that govern both typical and atypical maturation. Using data from the Philadelphia Neurodevelopmental Cohort (PNC), a large population-based sample of individuals aged 8 to 21 years old (n = 6634), we used an empirical relatedness matrix to establish the heritability of general and specific cognitive functions and determine if genetic factors influence cognitive maturation (i.

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Attention deficit/hyperactivity disorder (ADHD) is a highly heritable childhood behavioral disorder affecting 5% of children and 2.5% of adults. Common genetic variants contribute substantially to ADHD susceptibility, but no variants have been robustly associated with ADHD.

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