Daniele Merico

ORCID: 0000-0002-3728-4401
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About
Contact & Profiles
Research Areas
  • Genomic variations and chromosomal abnormalities
  • Genomics and Rare Diseases
  • Congenital heart defects research
  • Autism Spectrum Disorder Research
  • Genetics and Neurodevelopmental Disorders
  • Immunodeficiency and Autoimmune Disorders
  • Bioinformatics and Genomic Networks
  • RNA modifications and cancer
  • Genetic Associations and Epidemiology
  • Biomedical Text Mining and Ontologies
  • RNA and protein synthesis mechanisms
  • Cancer Genomics and Diagnostics
  • RNA Research and Splicing
  • Immune Cell Function and Interaction
  • Gene expression and cancer classification
  • Genomics and Phylogenetic Studies
  • Prenatal Screening and Diagnostics
  • Genomics and Chromatin Dynamics
  • NF-κB Signaling Pathways
  • Blood disorders and treatments
  • Cancer-related Molecular Pathways
  • Glioma Diagnosis and Treatment
  • Epigenetics and DNA Methylation
  • T-cell and B-cell Immunology
  • CRISPR and Genetic Engineering

Hospital for Sick Children
2016-2025

SickKids Foundation
2016-2025

Rapt Therapeutics (United States)
2023-2025

Ontario Genomics
2012-2023

Great Ormond Street Hospital
2015-2023

University College London
2015-2023

Genomics (United Kingdom)
2013-2019

University Health Network
2017-2018

University of Toronto
2008-2018

MaRS
2018

Background Gene-set enrichment analysis is a useful technique to help functionally characterize large gene lists, such as the results of expression experiments. This finds coherent gene-sets, pathways, that are statistically over-represented in given list. Ideally, number resulting sets smaller than genes list, thus simplifying interpretation. However, increasing and redundancy gene-sets used by many current software works against this ideal. Principal Findings To overcome gene-set...

10.1371/journal.pone.0013984 article EN cc-by PLoS ONE 2010-11-15
Dalila Pinto Alistair T. Pagnamenta Lambertus Klei Richard Anney Daniele Merico and 95 more Regina Regan Judith Conroy Tiago R. Magalhães Catarina Correia Brett S. Abrahams Joana Almeida Elena Bacchelli Gary D. Bader Anthony Bailey Gillian Baird Agatino Battaglia T. P. Berney Nadia Bolshakova Sven Bölte Patrick Bolton Thomas Bourgeron S. Brennan Jessica Brian Susan E. Bryson Andrew R. Carson Guillermo Casallo Jillian P. Casey Brian Hon‐Yin Chung Lynne Cochrane Christina Corsello Emily L. Crawford Andrew Crossett Cheryl Cytrynbaum Géraldine Dawson Maretha Jonge Richard Delorme Irene Drmic Eftichia Duketis Frederico Duque Annette Estes Penny Farrar Bridget A. Fernandez Susan E. Folstein Éric Fombonne Christine M. Freitag John R. Gilbert Christopher Gillberg Joseph Glessner Jeremy Goldberg Andrew Green Jonathan Green Stephen J. Guter Hákon Hákonarson Elizabeth A. Heron Matthew Hill Richard Holt Jennifer Howe Gillian Hughes Vanessa Hus Roberta Igliozzi Cecilia Kim Sabine M. Klauck Alexander Kolevzon Olena Korvatska Vlad Kustanovich Clara Lajonchere Janine A. Lamb Magdalena Laskawiec Marion Leboyer Ann Le Couteur Bennett Leventhal Anath C. Lionel Xiaoqing Liu Catherine Lord Linda Lotspeich Sabata C. Lund Elena Maestrini William J. Mahoney Carine Mantoulan Christian R. Marshall Helen McConachie Christopher J. McDougle Jane McGrath William M. McMahon Alison Merikangas Ohsuke Migita Nancy J. Minshew Ghazala Mirza Jeff Munson Stanley F. Nelson Carolyn Noakes Abdul Noor Gudrun Nygren Guiomar Oliveira Κaterina Papanikolaou Jeremy Parr Barbara Parrini Tara Paton Andrew Pickles Marion Pilorge

10.1038/nature09146 article EN Nature 2010-06-08

To facilitate precision medicine and whole-genome annotation, we developed a machine-learning technique that scores how strongly genetic variants affect RNA splicing, whose alteration contributes to many diseases. Analysis of more than 650,000 intronic exonic revealed widespread patterns mutation-driven aberrant splicing. Intronic disease mutations are 30 nucleotides from any splice site alter splicing nine times as often common variants, missense have the least impact on protein function...

10.1126/science.1254806 article EN Science 2014-12-19
Christian R. Marshall Daniel P. Howrigan Daniele Merico Bhooma Thiruvahindrapuram Wenting Wu and 95 more Douglas S. Greer Danny Antaki Aniket Shetty Peter Holmans Dalila Pinto Madhusudan Gujral William M. Brandler Dheeraj Malhotra Zhouzhi Wang Karin V. Fuentes Fajarado Michelle S. Maile Stephan Ripke Ingrid Agartz Margot Albus Madeline Alexander Farooq Amin Joshua R. Atkins Silviu‐Alin Bacanu Richard A. Belliveau Sarah E. Bergen Marcelo Bertalan Elizabeth Bevilacqua Tim B. Bigdeli Donald W. Black Richard Bruggeman Nancy G. Buccola Randy L. Buckner Brendan Bulik‐Sullivan William Byerley Wiepke Cahn Guiqing Cai Murray J. Cairns Dominique Campion Rita M. Cantor Vaughan J. Carr Noa Carrera Stanley V. Catts Kimberley D. Chambert Wei Cheng C. Robert Cloninger David Cohen Paul Cormican Nick Craddock Benedicto Crespo‐Facorro James J. Crowley David Curtis Michael Davidson Kenneth L. Davis Franziska Degenhardt Jurgen Del‐Favero Lynn E. DeLisi Dimitris Dikeos Timothy G. Dinan Srdjan Djurovic Gary Donohoe Elodie Drapeau Jubao Duan Frank Dudbridge Peter Eichhammer Johan G. Eriksson Valentina Escott‐Price Laurent Essioux Ayman H. Fanous Kai-How Farh Martilias S. Farrell Josef Frank Lude Franke Robert Freedman Nelson B. Freimer Joseph I. Friedman Andreas J. Forstner Menachem Fromer Giulio Genovese Lyudmila Georgieva Elliot S. Gershon Ina Giegling Paola Giusti‐Rodríguez Stephanie Godard Jacqueline I. Goldstein Jacob Gratten Lieuwe de Haan Marian L. Hamshere Thomas Hansen Thomas Hansen Vahram Haroutunian Annette M. Hartmann Frans A. Henskens Stefan Herms Joel N. Hirschhorn Per Hoffmann Andrea Hofman Hailiang Huang Masashi Ikeda Inge Joa Anna K. Kähler

10.1038/ng.3725 article EN Nature Genetics 2016-11-21
Dalila Pinto Elsa Delaby Daniele Merico Mafalda Barbosa Alison Merikangas and 95 more Lambertus Klei Bhooma Thiruvahindrapuram Xiao Xu Robert Ziman Zhuozhi Wang Jacob Vorstman Ann Thompson Regina Regan Marion Pilorge Giovanna Pellecchia Alistair T. Pagnamenta Bárbara Oliveira Christian R. Marshall Tiago R. Magalhães Jennifer K. Lowe Jennifer Howe Anthony J. Griswold John R. Gilbert Eftichia Duketis Beth A. Dombroski Maretha Jonge Michael L. Cuccaro Emily L. Crawford Catarina Correia Judith Conroy Inês C. Conceição Andreas G. Chiocchetti Jillian P. Casey Guiqing Cai Christelle Cabrol Nadia Bolshakova Elena Bacchelli Richard Anney Steven Gallinger Michelle Cotterchio Graham Casey Lonnie Zwaigenbaum Kerstin Wittemeyer Kirsty Wing Simon Wallace Hermán van Engeland Ana Tryfon Susanne Thomson Latha Soorya Bernadette Rogé Wendy Roberts Fritz Poustka Susana Mouga Nancy J. Minshew L. Alison McInnes Susan G. McGrew Catherine Lord Marion Leboyer Ann S. Couteur Alexander Kolevzon Patricia González Suma Jacob Richard Holt Stephen J. Guter Jonathan Green Andrew Green Christopher Gillberg Bridget A. Fernandez Frederico Duque Richard Delorme Géraldine Dawson Pauline Chaste Cátia Café S. Brennan Thomas Bourgeron Patrick Bolton Sven Bölte Raphael Bernier Gillian Baird Anthony Bailey Evdokia Anagnostou Joana Almeida Ellen M. Wijsman Veronica J. Vieland Astrid M. Vicente Gerard D. Schellenberg Margaret A. Pericak‐Vance Andrew D. Paterson Jeremy Parr Guiomar Oliveira John I. Nürnberger Anthony P. Monaco Elena Maestrini Sabine M. Klauck Hákon Hákonarson Jonathan L. Haines Daniel H. Geschwind Christine M. Freitag Susan E. Folstein Sean Ennis

Rare copy-number variation (CNV) is an important source of risk for autism spectrum disorders (ASDs). We analyzed 2,446 ASD-affected families and confirmed excess genic deletions duplications in affected versus control groups (1.41-fold, p = 1.0 × 10(-5)) increase subjects carrying exonic pathogenic CNVs overlapping known loci associated with dominant or X-linked ASD intellectual disability (odds ratio 12.62, 2.7 10(-15), ∼3% subjects). Pathogenic CNVs, often showing variable expressivity,...

10.1016/j.ajhg.2014.03.018 article EN cc-by-nc-nd The American Journal of Human Genetics 2014-04-24

10.1038/nn.4524 article EN Nature Neuroscience 2017-03-06

Recurrent glioblastoma multiforme (GBM) is incurable with current therapies. Biallelic mismatch repair deficiency (bMMRD) a highly penetrant childhood cancer syndrome often resulting in GBM characterized by high mutational burden. Evidence suggests that mutation and neoantigen loads are associated response to immune checkpoint inhibition.We performed exome sequencing prediction on 37 bMMRD cancers compared them adult brain neoplasms. Neoantigen was responsive from multiple tissues. Two...

10.1200/jco.2016.66.6552 article EN Journal of Clinical Oncology 2016-03-22

PurposeGenetic testing is an integral diagnostic component of pediatric medicine. Standard care often a time-consuming stepwise approach involving chromosomal microarray analysis and targeted gene sequencing panels, which can be costly inconclusive. Whole-genome (WGS) provides comprehensive platform that has the potential to streamline genetic assessments, but there are limited comparative data guide its clinical use.MethodsWe prospectively recruited 103 patients from non-genetic...

10.1038/gim.2017.119 article EN cc-by-nc-sa Genetics in Medicine 2017-08-03

Autism Spectrum Disorder (ASD) demonstrates high heritability and familial clustering, yet the genetic causes remain only partially understood as a result of extensive clinical genomic heterogeneity. Whole-genome sequencing (WGS) shows promise tool for identifying ASD risk genes well unreported mutations in known loci, but an assessment its full utility group has not been performed. We used WGS to examine 32 families with detect de novo or rare inherited variants predicted be deleterious...

10.1016/j.ajhg.2013.06.012 article EN cc-by-nc-nd The American Journal of Human Genetics 2013-07-11

The use of genome-wide tests to provide molecular diagnosis for individuals with autism spectrum disorder (ASD) requires more study.To perform chromosomal microarray analysis (CMA) and whole-exome sequencing (WES) in a heterogeneous group children ASD determine the diagnostic yield these sample typical developmental pediatric clinic.The consisted 258 consecutively ascertained unrelated who underwent detailed assessments define morphology scores based on presence major congenital...

10.1001/jama.2015.10078 article EN JAMA 2015-09-01

Abstract The standard of care for first-tier clinical investigation the aetiology congenital malformations and neurodevelopmental disorders is chromosome microarray analysis (CMA) copy-number variations (CNVs), often followed by gene(s)-specific sequencing searching smaller insertion–deletions (indels) single-nucleotide variant (SNV) mutations. Whole-genome (WGS) has potential to capture all classes genetic variation in one experiment; however, diagnostic yield mutation detection WGS...

10.1038/npjgenmed.2015.12 article EN cc-by npj Genomic Medicine 2016-01-13

To uncover the genetic events leading to transformation of pediatric low-grade glioma (PLGG) secondary high-grade (sHGG).We retrospectively identified patients with sHGG from a population-based cohort 886 PLGG long clinical follow-up. Exome sequencing and array CGH were performed on available samples followed by detailed analysis entire cohort. Clinical outcome data genetically distinct subgroups obtained.sHGG was observed in 2.9% PLGGs (26 patients). Patients had high frequency nonsilent...

10.1200/jco.2014.58.3922 article EN Journal of Clinical Oncology 2015-02-10

De novo mutations (DNMs) are important in Autism Spectrum Disorder (ASD), but so far analyses have mainly been on the ~1.5% of genome encoding genes. Here, we performed whole sequencing (WGS) 200 ASD parent-child trios and characterized germline somatic DNMs. We confirmed that majority DNMs (75.6%) originated from father, these increased significantly with paternal age only (p=4.2×10-10). However, when clustered (those within 20kb) were found ASD, not did they mostly originate mother...

10.1038/npjgenmed.2016.27 article EN cc-by npj Genomic Medicine 2016-08-03

Abstract Copy number variations (CNVs) are implicated across many neurodevelopmental disorders (NDDs) and contribute to their shared genetic etiology. Multiple studies have attempted identify etiology among NDDs, but this is the first genome-wide CNV analysis autism spectrum disorder (ASD), attention deficit hyperactivity (ADHD), schizophrenia (SCZ), obsessive-compulsive (OCD) at once. Using microarray (Affymetrix CytoScan HD), we genotyped 2,691 subjects diagnosed with an NDD (204 SCZ,...

10.1038/s41525-019-0098-3 article EN cc-by npj Genomic Medicine 2019-10-07

The identification of rare inherited and de novo copy number variations (CNVs) in human subjects has proven a productive approach to highlight risk genes for autism spectrum disorder (ASD). A variety microarrays are available detect CNVs, including single-nucleotide polymorphism (SNP) arrays comparative genomic hybridization (CGH) arrays. Here, we examine cohort 696 unrelated ASD cases using high-resolution one-million feature CGH microarray, the majority which were previously genotyped with...

10.1534/g3.112.004689 article EN cc-by G3 Genes Genomes Genetics 2012-12-01

Structural genetic changes, especially copy number variants (CNVs), represent a major source of variation contributing to human disease. Tetralogy Fallot (TOF) is the most common form cyanotic congenital heart disease, but date little known about role CNVs in etiology TOF. Using high-resolution genome-wide microarrays and stringent calling methods, we investigated rare prospectively recruited cohort 433 unrelated adults with TOF and/or pulmonary atresia at single centre. We excluded those...

10.1371/journal.pgen.1002843 article EN cc-by PLoS Genetics 2012-08-09

Rare copy number variants (CNVs) disrupting ASTN2 or both and TRIM32 have been reported at 9q33.1 by genome-wide studies in a few individuals with neurodevelopmental disorders (NDDs). The vertebrate-specific astrotactins, its paralog ASTN1, key roles glial-guided neuronal migration during brain development. To determine the prevalence of astrotactin mutations delineate their associated phenotypic spectrum, we screened ASTN2/TRIM32 ASTN1 (1q25.2) for exonic CNVs clinical microarray data from...

10.1093/hmg/ddt669 article EN public-domain Human Molecular Genetics 2013-12-30
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