Author
Donna M. Martin
Bio: Donna M. Martin is an academic researcher from University of Michigan. The author has contributed to research in topics: CHARGE syndrome & Inner ear. The author has an hindex of 43, co-authored 133 publications receiving 8022 citations.
Papers published on a yearly basis
Papers
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Yale University1, University of Michigan2, University of California, Los Angeles3, Emory University4, Carnegie Mellon University5, Rutgers University6, Vanderbilt University7, Cornell University8, Baylor College of Medicine9, University of Illinois at Chicago10, Stanford University11, University of Pittsburgh12, University of Washington13, Princeton University14, Boston Children's Hospital15, Columbia University16, Howard Hughes Medical Institute17, Brown University18, Geisinger Health System19, Montreal Children's Hospital20
TL;DR: A genome-wide analysis of rare copy-number variation in 1124 autism spectrum disorder families, each comprised of a single proband, unaffected parents, and, in most kindreds, an unaffected sibling, finds significant association of ASD with de novo duplications of 7q11.23, where the reciprocal deletion causes Williams-Beuren syndrome.
1,198 citations
University of California, San Francisco1, University of Chicago2, Yale University3, Broad Institute4, Harvard University5, Carnegie Mellon University6, Bilkent University7, Peking University8, Icahn School of Medicine at Mount Sinai9, University of Pittsburgh10, Stanford University11, Baylor College of Medicine12, University of California, Los Angeles13, Oregon Health & Science University14, Cornell University15, University of Michigan16, Brown University17, Vanderbilt University18, Howard Hughes Medical Institute19, Geisinger Health System20, University of Illinois at Chicago21
TL;DR: Analysis of de novo CNVs from the full Simons Simplex Collection replicates prior findings of strong association with autism spectrum disorders (ASDs) and confirms six risk loci, including 6 CNV regions.
1,176 citations
University of Washington1, Cleveland Clinic2, University of Pittsburgh3, Children's Memorial Hospital4, North York General Hospital5, University of Louisville6, Sacred Heart Hospital7, Boston Children's Hospital8, Rutgers University9, Dalhousie University10, University of Michigan11, Group Health Cooperative12, Izaak Walton Killam Health Centre13, Rush University Medical Center14, State University of New York Upstate Medical University15, Memorial Hospital of South Bend16, Rhode Island Hospital17, Carolinas Medical Center18, Nemours Foundation19, University of New Mexico20
TL;DR: It is found that syndromic disorders could be distinguished from those with extreme phenotypic heterogeneity on the basis of the total number of copy-number variants and whether the variants are inherited or de novo.
Abstract: Background Some copy-number variants are associated with genomic disorders with extreme phenotypic heterogeneity. The cause of this variation is unknown, which presents challenges in genetic diagnosis, counseling, and management. Methods We analyzed the genomes of 2312 children known to carry a copy-number variant associated with intellectual disability and congenital abnormalities, using array comparative genomic hybridization. Results Among the affected children, 10.1% carried a second large copy-number variant in addition to the primary genetic lesion. We identified seven genomic disorders, each defined by a specific copy-number variant, in which the affected children were more likely to carry multiple copy-number variants than were controls. We found that syndromic disorders could be distinguished from those with extreme phenotypic heterogeneity on the basis of the total number of copy-number variants and whether the variants are inherited or de novo. Children who carried two large copy-number variant...
525 citations
TL;DR: A significant genetic correlation with schizophrenia and association of ASD with several neurodevelopmental-related genes such as EXT1, ASTN2, MACROD2, and HDAC4 is identified and identified.
Abstract: Background: Over the past decade genome-wide association studies (GWAS) have been applied to aid in the
understanding of the biology of traits. The success of this approach is governed by the underlying effect sizes carried
by the true risk variants and the corresponding statistical power to observe such effects given the study design and
sample size under investigation. Previous ASD GWAS have identified genome-wide significant (GWS) risk loci; however,
these studies were of only of low statistical power to identify GWS loci at the lower effect sizes (odds ratio (OR) <1.15).
Methods: We conducted a large-scale coordinated international collaboration to combine independent genotyping
data to improve the statistical power and aid in robust discovery of GWS loci. This study uses genome-wide
genotyping data from a discovery sample (7387 ASD cases and 8567 controls) followed by meta-analysis of summary
statistics from two replication sets (7783 ASD cases and 11359 controls; and 1369 ASD cases and 137308 controls).
Results: We observe a GWS locus at 10q24.32 that overlaps several genes including PITX3, which encodes a transcription
factor identified as playing a role in neuronal differentiation and CUEDC2 previously reported to be associated with social
skills in an independent population cohort. We also observe overlap with regions previously implicated in schizophrenia
which was further supported by a strong genetic correlation between these disorders (Rg = 0.23; P=9 ×10−6). We further
combined these Psychiatric Genomics Consortium (PGC) ASD GWAS data with the recent PGC schizophrenia GWAS to
identify additional regions which may be important in a common neurodevelopmental phenotype and identified 12
novel GWS loci. These include loci previously implicated in ASD such as FOXP1 at 3p13, ATP2B2 at 3p25.3, and a
‘neurodevelopmental hub’ on chromosome 8p11.23.
Conclusions: This study is an important step in the ongoing endeavour to identify the loci which underpin the common
variant signal in ASD. In addition to novel GWS loci, we have identified a significant genetic correlation with schizophrenia
and association of ASD with several neurodevelopmental-related genes such as EXT1, ASTN2, MACROD2, and HDAC4.
458 citations
Cornell University1, Nathan Kline Institute for Psychiatric Research2, New York University3, University of Michigan4, Emory University5, University of Pennsylvania6, University of Washington7, Columbia University8, Vanderbilt University9, Harvard University10, University of California, Los Angeles11, Montreal Children's Hospital12, University of Missouri13, Baylor College of Medicine14, University of Illinois at Chicago15, Cincinnati Children's Hospital Medical Center16, University of Minnesota17, Indiana University18
TL;DR: Clinical distinctions among categorical diagnostic subtypes of autism spectrum disorders were not reliable even across sites with well-documented fidelity using standardized diagnostic instruments, and results support the move from existing subgroupings of autism Spectrum disorders to dimensional descriptions of core features of social affect and fixated, repetitive behaviors.
Abstract: Context Best-estimate clinical diagnoses of specific autism spectrum disorders (autistic disorder, pervasive developmental disorder–not otherwise specified, and Asperger syndrome) have been used as the diagnostic gold standard, even when information from standardized instruments is available. Objective To determine whether the relationships between behavioral phenotypes and clinical diagnoses of different autism spectrum disorders vary across 12 university-based sites. Design Multisite observational study collecting clinical phenotype data (diagnostic, developmental, and demographic) for genetic research. Classification trees were used to identify characteristics that predicted diagnosis across and within sites. Setting Participants were recruited through 12 university-based autism service providers into a genetic study of autism. Participants A total of 2102 probands (1814 male probands) between 4 and 18 years of age (mean [SD] age, 8.93 [3.5] years) who met autism spectrum criteria on the Autism Diagnostic Interview–Revised and the Autism Diagnostic Observation Schedule and who had a clinical diagnosis of an autism spectrum disorder. Main Outcome Measure Best-estimate clinical diagnoses predicted by standardized scores from diagnostic, cognitive, and behavioral measures. Results Although distributions of scores on standardized measures were similar across sites, significant site differences emerged in best-estimate clinical diagnoses of specific autism spectrum disorders. Relationships between clinical diagnoses and standardized scores, particularly verbal IQ, language level, and core diagnostic features, varied across sites in weighting of information and cutoffs. Conclusions Clinical distinctions among categorical diagnostic subtypes of autism spectrum disorders were not reliable even across sites with well-documented fidelity using standardized diagnostic instruments. Results support the move from existing subgroupings of autism spectrum disorders to dimensional descriptions of core features of social affect and fixated, repetitive behaviors, together with characteristics such as language level and cognitive function.
437 citations
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Journal Article•
TL;DR: For the next few weeks the course is going to be exploring a field that’s actually older than classical population genetics, although the approach it’ll be taking to it involves the use of population genetic machinery.
Abstract: So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to
9,847 citations
TL;DR: The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or her own research.
Abstract: I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or
7,563 citations
01 Jan 2000
3,536 citations
TL;DR: This review summarizes the current knowledge of RPE functions and describes how failure of these functions causes loss of visual function.
Abstract: Located between vessels of the choriocapillaris and light-sensitive outer segments of the photoreceptors, the retinal pigment epithelium (RPE) closely interacts with photoreceptors in the maintenance of visual function. Increasing knowledge of the multiple functions performed by the RPE improved the understanding of many diseases leading to blindness. This review summarizes the current knowledge of RPE functions and describes how failure of these functions causes loss of visual function. Mutations in genes that are expressed in the RPE can lead to photoreceptor degeneration. On the other hand, mutations in genes expressed in photoreceptors can lead to degenerations of the RPE. Thus both tissues can be regarded as a functional unit where both interacting partners depend on each other.
2,387 citations
Icahn School of Medicine at Mount Sinai1, Carnegie Mellon University2, Harvard University3, University of Toronto4, Wellcome Trust Sanger Institute5, University of Pittsburgh6, Nagoya University7, University of Freiburg8, King's College London9, Vanderbilt University10, University of Santiago de Compostela11, King Abdulaziz University12, University of Utah13, Duke University14, Memorial University of Newfoundland15, Trinity College, Dublin16, University of Pennsylvania17, University of Illinois at Chicago18, Boston Children's Hospital19, Columbia University20, German Cancer Research Center21, University College London22, Kaiser Permanente23, Broad Institute24, Cardiff University25, Complutense University of Madrid26, Newcastle University27, Baylor College of Medicine28, University of California, San Francisco29, RWTH Aachen University30, National Health Service31, McMaster University32, Saarland University33, Karolinska Institutet34, National Institutes of Health35, University of Helsinki36, Emory University37
TL;DR: Using exome sequencing, it is shown that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate of < 0.05, plus a set of 107 genes strongly enriched for those likely to affect risk (FDR < 0.30).
Abstract: The genetic architecture of autism spectrum disorder involves the interplay of common and rare variants and their impact on hundreds of genes. Using exome sequencing, here we show that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate (FDR) < 0.05, plus a set of 107 autosomal genes strongly enriched for those likely to affect risk (FDR < 0.30). These 107 genes, which show unusual evolutionary constraint against mutations, incur de novo loss-of-function mutations in over 5% of autistic subjects. Many of the genes implicated encode proteins for synaptic formation, transcriptional regulation and chromatin-remodelling pathways. These include voltage-gated ion channels regulating the propagation of action potentials, pacemaking and excitability-transcription coupling, as well as histone-modifying enzymes and chromatin remodellers-most prominently those that mediate post-translational lysine methylation/demethylation modifications of histones.
2,228 citations