Publications by authors named "Michael E Talkowski"

Autism is a relatively common neurodevelopmental difference with considerable phenotypic heterogeneity impacting cognitive, sensory, and social processing, and often co-occurs with other conditions. Therefore, there is not a one-size-fits-all clinical support pathway for autistic individuals following diagnosis. DNA sequencing technology has enabled the discovery of genes causative of, or associated with, autism.

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Cytogenetic technologies such as G-banding chromosome and FISH analyses have long been the gold standard diagnostic test in prenatal genetic testing. However, unbiased next-generation sequencing technologies such as fetal exome or genome sequencing (ES/GS) are becoming widely accessible and increasingly utilized, particularly for fetuses with structural anomalies. Emerging studies are now establishing increased diagnostic yields from molecular technologies, but there remains a lack of consensus as to whether ES/GS should replace cytogenetic technologies and targeted genepanel screening as first-line tests for all prenatal diagnoses.

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Variably protease-sensitive prionopathy (VPSPr) is a rare, atypical subtype of prion disease currently classified as sporadic. We performed exome sequencing and targeted sequencing of PRNP non-coding regions on genomic DNA from autopsy-confirmed VPSPr patients (N = 67) in order to search for a possible genetic cause. Our search identified no potentially causal variants for VPSPr.

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Diverse sets of complete human genomes are required to construct a pangenome reference and to understand the extent of complex structural variation. Here we sequence 65 diverse human genomes and build 130 haplotype-resolved assemblies (median continuity of 130 Mb), closing 92% of all previous assembly gaps and reaching telomere-to-telomere status for 39% of the chromosomes. We highlight complete sequence continuity of complex loci, including the major histocompatibility complex (MHC), SMN1/SMN2, NBPF8 and AMY1/AMY2, and fully resolve 1,852 complex structural variants.

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Age-related macular degeneration (AMD) is a prevalent cause of vision loss in the elderly with limited therapeutic options. A single chromosomal region around the complement factor H gene (CFH) is reported to explain nearly 25% of genetic AMD risk. Here, we used association testing, statistical finemapping and conditional analyses in 12,495 AMD cases and 461,686 controls to deconvolute four major CFH haplotypes that convey protection from AMD.

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X-linked dystonia parkinsonism (XDP) is a progressive adult-onset neurogenerative disorder caused by the insertion of a SINE-VNTR-Alu (SVA) retrotransposon in gene. One element of the SVA is a tandem polymorphic CCCTCT repeat tract whose length inversely correlates with the age of disease onset. Previous observations that the repeat exhibits length-dependent somatic expansion and that XDP onset is modified by variation in DNA repair gene indicated that somatic repeat expansion is an important disease driver.

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Postoperative delirium is a type of acute cognitive dysfunction characterized by inattention, disorganized thinking, and altered levels of consciousness that commonly develops after major surgery. Efforts to reduce the incidence of delirium have focused primarily on optimizing perioperative care, however the development of prophylactic interventions have been hindered by a limited understanding of the underlying mechanisms involved in delirium. In this secondary analysis of the Minimizing ICU Neurological Dysfunction with Dexmedetomidine-induced Sleep (MINDDS) trial, a nested case-control study (n = 51) was conducted using total RNA-sequencing analysis of whole-blood to investigate genes associated with delirium risk and development.

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Epigenome editing with DNA-targeting technologies such as CRISPR-dCas9 can be used to dissect gene regulatory mechanisms and potentially treat associated disorders. For example, Prader-Willi syndrome (PWS) results from loss of paternally expressed imprinted genes on chromosome 15q11.2-q13.

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The biomedical community is increasingly invested in capturing all genetic variants across human genomes, interpreting their functional consequences and translating these findings to the clinic. A crucial component of this endeavour is the discovery and characterization of structural variants (SVs), which are ubiquitous in the human population, heterogeneous in their mutational processes, key substrates for evolution and adaptation, and profound drivers of human disease. The recent emergence of new technologies and the remarkable scale of sequence-based population studies have begun to crystalize our understanding of SVs as a mutational class and their widespread influence across phenotypes.

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The past decade has seen remarkable progress in identifying genes that, when impacted by deleterious coding variation, confer high risk for autism spectrum disorder (ASD), intellectual disability, and other developmental disorders. However, most underlying gene discovery efforts have focused on individuals of European ancestry, limiting insights into genetic risks across diverse populations. To help address this, the Genomics of Autism in Latin American Ancestries Consortium (GALA) was formed, presenting here the largest sequencing study of ASD in Latin American individuals (n>15,000).

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Rare diseases are collectively common, affecting approximately one in twenty individuals worldwide. In recent years, rapid progress has been made in rare disease diagnostics due to advances in DNA sequencing, development of new computational and experimental approaches to prioritize genes and genetic variants, and increased global exchange of clinical and genetic data. However, more than half of individuals suspected to have a rare disease lack a genetic diagnosis.

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Pediatric solid tumors are a leading cause of childhood disease mortality. In this work, we examined germline structural variants (SVs) as risk factors for pediatric extracranial solid tumors using germline genome sequencing of 1765 affected children, their 943 unaffected parents, and 6665 adult controls. We discovered a sex-biased association between very large (>1 megabase) germline chromosomal abnormalities and increased risk of solid tumors in male children.

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Variably protease-sensitive prionopathy (VPSPr) is a rare, atypical subtype of prion disease currently classified as sporadic. We performed exome sequencing and targeted sequencing of non-coding regions on genomic DNA from autopsy-confirmed VPSPr patients (N=67) in order to search for a possible genetic cause. Our search identified no potentially causal variants for VPSPr.

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The human genome is packaged within a three-dimensional (3D) nucleus and organized into structural units known as compartments, topologically associating domains (TADs), and loops. TAD boundaries, separating adjacent TADs, have been found to be well conserved across mammalian species and more evolutionarily constrained than TADs themselves. Recent studies show that structural variants (SVs) can modify 3D genomes through the disruption of TADs, which play an essential role in insulating genes from outside regulatory elements' aberrant regulation.

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Article Synopsis
  • Age-related macular degeneration (AMD) is a common cause of vision loss among older adults, and current treatment options are limited.
  • Researchers identified genetic factors contributing to AMD risk by analyzing data from 12,495 AMD cases and 461,686 controls, discovering four key protective haplotypes.
  • The study suggests that lowering levels of the protein FHR-5 could enhance certain immune pathways and potentially serve as a strategy to prevent or treat AMD.
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Article Synopsis
  • Researchers tackled the challenge of studying structural variants (SVs) in repetitive genomic regions using advanced technologies like long-read sequencing and the gapless T2T assembly.
  • They successfully analyzed 13 complex cases, resolving 10 by identifying specific genomic breakpoints and structures that were previously difficult to sequence, including Robertsonian translocations and ring chromosomes.
  • The study highlighted new mechanisms for SV formation and provided insights into how these genome variations affect gene expression and potential implications for disease diagnosis and genome biology.
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Unsolved Mendelian cases often lack obvious pathogenic coding variants, suggesting potential non-coding etiologies. Here, we present a single cell multi-omic framework integrating embryonic mouse chromatin accessibility, histone modification, and gene expression assays to discover cranial motor neuron (cMN) cis-regulatory elements and subsequently nominate candidate non-coding variants in the congenital cranial dysinnervation disorders (CCDDs), a set of Mendelian disorders altering cMN development. We generate single cell epigenomic profiles for ~86,000 cMNs and related cell types, identifying ~250,000 accessible regulatory elements with cognate gene predictions for ~145,000 putative enhancers.

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We deployed the Blended Genome Exome (BGE), a DNA library blending approach that generates low pass whole genome (1-4× mean depth) and deep whole exome (30-40× mean depth) data in a single sequencing run. This technology is cost-effective, empowers most genomic discoveries possible with deep whole genome sequencing, and provides an unbiased method to capture the diversity of common SNP variation across the globe. To evaluate this new technology at scale, we applied BGE to sequence >53,000 samples from the Populations Underrepresented in Mental Illness Associations Studies (PUMAS) Project, which included participants across African, African American, and Latin American populations.

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Glycine is an obligatory co-agonist at excitatory NMDA receptors in the brain, especially in the dentate gyrus, which has been postulated to be crucial for the development of psychotic associations and memories with psychotic content. Drugs modulating glycine levels are in clinical development for improving cognition in schizophrenia. However, the functional relevance of the regulation of glycine metabolism by endogenous enzymes is unclear.

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Article Synopsis
  • This study aimed to identify the genetic causes and associations between genotype and phenotype in patients with unsolved ocular congenital cranial dysinnervation disorders (oCCDDs).
  • Researchers analyzed data from 467 individuals with oCCDDs using exome or genome sequencing, revealing pathogenic variants in 43 probands and variants of uncertain significance in 70 others.
  • The findings highlight the genetic diversity of oCCDDs and suggest that they may overlap with other genetic conditions, paving the way for further research on potential genetic links.
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Underrepresented populations are often excluded from genomic studies owing in part to a lack of resources supporting their analyses. The 1000 Genomes Project (1kGP) and Human Genome Diversity Project (HGDP), which have recently been sequenced to high coverage, are valuable genomic resources because of the global diversity they capture and their open data sharing policies. Here, we harmonized a high-quality set of 4094 whole genomes from 80 populations in the HGDP and 1kGP with data from the Genome Aggregation Database (gnomAD) and identified over 153 million high-quality SNVs, indels, and SVs.

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Missense variants can have a range of functional impacts depending on factors such as the specific amino acid substitution and location within the gene. To interpret their deleteriousness, studies have sought to identify regions within genes that are specifically intolerant of missense variation . Here, we leverage the patterns of rare missense variation in 125,748 individuals in the Genome Aggregation Database (gnomAD) against a null mutational model to identify transcripts that display regional differences in missense constraint.

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Purpose: To identify genetic etiologies and genotype/phenotype associations for unsolved ocular congenital cranial dysinnervation disorders (oCCDDs).

Methods: We coupled phenotyping with exome or genome sequencing of 467 pedigrees with genetically unsolved oCCDDs, integrating analyses of pedigrees, human and animal model phenotypes, and variants to identify rare candidate single nucleotide variants, insertion/deletions, and structural variants disrupting protein-coding regions. Prioritized variants were classified for pathogenicity and evaluated for genotype/phenotype correlations.

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