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Dive into the research topics where Janet A. Buchanan is active.

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Featured researches published by Janet A. Buchanan.


PLOS Biology | 2008

Research Ethics Recommendations for Whole-Genome Research: Consensus Statement

Timothy Caulfield; Amy L. McGuire; Mildred K. Cho; Janet A. Buchanan; Michael M. Burgess; Ursula Danilczyk; Christina M. Diaz; Kelly Fryer-Edwards; Shane K. Green; Marc A. Hodosh; Eric T. Juengst; Jane Kaye; Laurence H. Kedes; Bartha Maria Knoppers; Trudo Lemmens; Eric M. Meslin; Juli Murphy; Robert L. Nussbaum; Margaret Otlowski; Daryl Pullman; Peter N. Ray; Jeremy Sugarman; Michael Timmons

Interest in whole-genome research has grown substantially over the past few months. This article explores the challenging ethics issues associated with this work.


Nature Neuroscience | 2017

Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder

Ryan K. C. Yuen; Daniele Merico; Matt Bookman; Jennifer L. Howe; Bhooma Thiruvahindrapuram; Rohan V. Patel; Joe Whitney; Nicole Deflaux; Jonathan Bingham; Z. B. Wang; Giovanna Pellecchia; Janet A. Buchanan; Susan Walker; Christian R. Marshall; Mohammed Uddin; Mehdi Zarrei; Eric Deneault; Lia D'Abate; Ada J S Chan; Stephanie Koyanagi; Tara Paton; Sergio L. Pereira; Ny Hoang; Worrawat Engchuan; Edward J. Higginbotham; Karen Ho; Sylvia Lamoureux; Weili Li; Jeffrey R. MacDonald; Thomas Nalpathamkalam

We are performing whole-genome sequencing of families with autism spectrum disorder (ASD) to build a resource (MSSNG) for subcategorizing the phenotypes and underlying genetic factors involved. Here we report sequencing of 5,205 samples from families with ASD, accompanied by clinical information, creating a database accessible on a cloud platform and through a controlled-access internet portal. We found an average of 73.8 de novo single nucleotide variants and 12.6 de novo insertions and deletions or copy number variations per ASD subject. We identified 18 new candidate ASD-risk genes and found that participants bearing mutations in susceptibility genes had significantly lower adaptive ability (P = 6 × 10−4). In 294 of 2,620 (11.2%) of ASD cases, a molecular basis could be determined and 7.2% of these carried copy number variations and/or chromosomal abnormalities, emphasizing the importance of detecting all forms of genetic variation as diagnostic and therapeutic targets in ASD.


Canadian Medical Association Journal | 2014

Autism spectrum disorder: advances in evidence-based practice

Evdokia Anagnostou; Lonnie Zwaigenbaum; Peter Szatmari; Eric Fombonne; Bridget A. Fernandez; Marc Woodbury-Smith; Jessica Brian; Susan E. Bryson; Isabel M. Smith; Irene Drmic; Janet A. Buchanan; Wendy Roberts; Stephen W. Scherer

Autism spectrum disorder (ASD) encompasses wide variation in symptom severity and functional impact. The core features of ASD include impairments in social communication, repetitive behaviours and restricted interests. Not all people with ASD identify their challenges as a disorder. Autism spectrum


Genetics in Medicine | 2008

Contemplating effects of genomic structural variation

Janet A. Buchanan; Stephen W. Scherer

Two developments have sparked new directions in the genetics-to-genomics transition for research and medical applications: the advance of whole-genome assays by array or DNA sequencing technologies, and the discovery among human genomes of extensive submicroscopic genomic structural variation, including copy number variation. For health care to benefit from interpretation of genomic data, we need to know how these variants contribute to the phenotype of the individual. Research is revealing the spectrum, both in size and complexity, of structural genotypic variation, and its association with a broad range of human phenotypes. Genomic disorders associated with relatively large, recurrent contiguous variants have been recognized for some time, as have certain Mendelian traits associated with functional disruption of single genes by structural variation. More recent examples from phenotype- and genotype-driven studies demonstrate a greater level of complexity, with evidence of incremental dosage effects, gene interaction networks, buffering and modifiers, and position effects. Mechanisms underlying such variation are emerging to provide a handle on the bulk of human variation, which is associated with complex traits and adaptive potential. Interpreting genotypes for personalized health care and communicating knowledge to the individual will be significant challenges for genomics professionals.


Scientific Reports | 2016

Indexing Effects of Copy Number Variation on Genes Involved in Developmental Delay

Mohammed Uddin; Giovanna Pellecchia; Bhooma Thiruvahindrapuram; Lia D’Abate; Daniele Merico; Ada Chan; Mehdi Zarrei; Kristiina Tammimies; Susan Walker; Matthew J. Gazzellone; Thomas Nalpathamkalam; Ryan K. C. Yuen; Koenraad Devriendt; Géraldine Mathonnet; Emmanuelle Lemyre; Sonia Nizard; Mary Shago; Ann M. Joseph-George; Abdul Noor; Melissa T. Carter; Grace Yoon; Peter Kannu; Frédérique Tihy; Erik C. Thorland; Christian R. Marshall; Janet A. Buchanan; Marsha Speevak; Dimitri J. Stavropoulos; Stephen W. Scherer

A challenge in clinical genomics is to predict whether copy number variation (CNV) affecting a gene or multiple genes will manifest as disease. Increasing recognition of gene dosage effects in neurodevelopmental disorders prompted us to develop a computational approach based on critical-exon (highly expressed in brain, highly conserved) examination for potential etiologic effects. Using a large CNV dataset, our updated analyses revealed significant (P < 1.64 × 10−15) enrichment of critical-exons within rare CNVs in cases compared to controls. Separately, we used a weighted gene co-expression network analysis (WGCNA) to construct an unbiased protein module from prenatal and adult tissues and found it significantly enriched for critical exons in prenatal (P < 1.15 × 10−50, OR = 2.11) and adult (P < 6.03 × 10−18, OR = 1.55) tissues. WGCNA yielded 1,206 proteins for which we prioritized the corresponding genes as likely to have a role in neurodevelopmental disorders. We compared the gene lists obtained from critical-exon and WGCNA analysis and found 438 candidate genes associated with CNVs annotated as pathogenic, or as variants of uncertain significance (VOUS), from among 10,619 developmental delay cases. We identified genes containing CNVs previously considered to be VOUS to be new candidate genes for neurodevelopmental disorders (GIT1, MVB12B and PPP1R9A) demonstrating the utility of this strategy to index the clinical effects of CNVs.


Genome Medicine | 2009

The cycle of genome-directed medicine.

Janet A. Buchanan; Andrew R. Carson; David Chitayat; David Malkin; M. Stephen Meyn; Peter N. Ray; Cheryl Shuman; Rosanna Weksberg; Stephen W. Scherer

The genome era in medicine is upon us. Questions that arise from patient and family care are a watershed for research and technology, which in turn fuel the cycle of opportunity for impact through delivery of health services, which feeds back to families. Medical infrastructure needs to adapt to the dramatic pace of technology development in the wake of the Human Genome Project, in order for genome data to be delivered as information and applied as knowledge to benefit health.


Canadian Medical Association Journal | 2018

The Personal Genome Project Canada: findings from whole genome sequences of the inaugural 56 participants

Miriam S. Reuter; Susan Walker; Bhooma Thiruvahindrapuram; Joe Whitney; Iris Cohn; Neal Sondheimer; Ryan K. C. Yuen; Brett Trost; Tara A. Paton; Sergio L. Pereira; Jo-Anne Herbrick; Richard F. Wintle; Daniele Merico; Jennifer Howe; Jeffrey R. MacDonald; Chao Lu; Thomas Nalpathamkalam; Wilson W L Sung; Z. B. Wang; Rohan V. Patel; Giovanna Pellecchia; John T. Wei; Lisa J. Strug; Sherilyn Bell; Barbara Kellam; Melanie M. Mahtani; Anne S. Bassett; Yvonne Bombard; Rosanna Weksberg; Cheryl Shuman

BACKGROUND: The Personal Genome Project Canada is a comprehensive public data resource that integrates whole genome sequencing data and health information. We describe genomic variation identified in the initial recruitment cohort of 56 volunteers. METHODS: Volunteers were screened for eligibility and provided informed consent for open data sharing. Using blood DNA, we performed whole genome sequencing and identified all possible classes of DNA variants. A genetic counsellor explained the implication of the results to each participant. RESULTS: Whole genome sequencing of the first 56 participants identified 207 662 805 sequence variants and 27 494 copy number variations. We analyzed a prioritized disease-associated data set (n = 1606 variants) according to standardized guidelines, and interpreted 19 variants in 14 participants (25%) as having obvious health implications. Six of these variants (e.g., in BRCA1 or mosaic loss of an X chromosome) were pathogenic or likely pathogenic. Seven were risk factors for cancer, cardiovascular or neurobehavioural conditions. Four other variants — associated with cancer, cardiac or neurodegenerative phenotypes — remained of uncertain significance because of discrepancies among databases. We also identified a large structural chromosome aberration and a likely pathogenic mitochondrial variant. There were 172 recessive disease alleles (e.g., 5 individuals carried mutations for cystic fibrosis). Pharmacogenomics analyses revealed another 3.9 potentially relevant genotypes per individual. INTERPRETATION: Our analyses identified a spectrum of genetic variants with potential health impact in 25% of participants. When also considering recessive alleles and variants with potential pharmacologic relevance, all 56 participants had medically relevant findings. Although access is mostly limited to research, whole genome sequencing can provide specific and novel information with the potential of major impact for health care.


npj Genomic Medicine | 2017

Variable phenotype expression in a family segregating microdeletions of the NRXN1 and MBD5 autism spectrum disorder susceptibility genes

Marc Woodbury-Smith; Rob Nicolson; Mehdi Zarrei; Ryan K. C. Yuen; Susan Walker; Jennifer L. Howe; Mohammed Uddin; Ny Hoang; Janet A. Buchanan; Christina Chrysler; Ann Thompson; Peter Szatmari; Stephen W. Scherer

Autism spectrum disorder is a developmental condition of early childhood onset, which impacts socio-communicative functioning and is principally genetic in etiology. Currently, more than 50 genomic loci are deemed to be associated with susceptibility to autism spectrum disorder, showing de novo and inherited unbalanced copy number variants and smaller insertions and deletions (indels), more complex structural variants, as well as single-nucleotide variants deemed of pathological significance. However, the phenotypes associated with many of these genes are variable, and penetrance is largely unelaborated in clinical descriptions. This case report describes a family harboring two copy number variant microdeletions, which affect regions of NRXN1 and MBD5—each well-established in association with risk of autism spectrum disorder and other neurodevelopmental disorders. Although each copy number variant would likely be categorized as pathologically significant, both genomic alterations are transmitted in this family from an unaffected father to the proband, and shared by an unaffected sibling. This family case illustrates the importance of recognizing that phenotype can vary among exon overlapping variants of the same gene, and the need to evaluate penetrance of such variants in order to properly inform on risks.


G3: Genes, Genomes, Genetics | 2013

Building Trust in 21st Century Genomics

Michael J. Szego; Janet A. Buchanan; Stephen W. Scherer

In March of this year, G3: Genes | Genomes | Genetics published an early online version of a manuscript by Landry et al. documenting the genome sequence of a HeLa cell line ([Landry et al. 2013][1]). It prompted a commentary in the New York Times by Rebecca Skloot ([Skloot 2013][2]), who is well


G3: Genes, Genomes, Genetics | 2017

De Novo Genome and Transcriptome Assembly of the Canadian Beaver (Castor canadensis)

Si Lok; Tara Paton; Z. B. Wang; Gaganjot Kaur; Susan Walker; Ryan K. C. Yuen; Wilson W L Sung; Joseph Whitney; Janet A. Buchanan; Brett Trost; Naina Singh; Beverly Apresto; Nan Chen; Matthew Coole; Travis J. Dawson; Karen Y. Ho; Zhizhou Hu; Sanjeev Pullenayegum; Kozue Samler; Arum Shipstone; Fiona Tsoi; Ting Wang; Sérgio Luiz Pereira; Pirooz Rostami; Carol Ann Ryan; Amy Hin Yan Tong; Karen Ng; Yogi Sundaravadanam; Jared T. Simpson; Burton K. Lim

The Canadian beaver (Castor canadensis) is the largest indigenous rodent in North America. We report a draft annotated assembly of the beaver genome, the first for a large rodent and the first mammalian genome assembled directly from uncorrected and moderate coverage (< 30 ×) long reads generated by single-molecule sequencing. The genome size is 2.7 Gb estimated by k-mer analysis. We assembled the beaver genome using the new Canu assembler optimized for noisy reads. The resulting assembly was refined using Pilon supported by short reads (80 ×) and checked for accuracy by congruency against an independent short read assembly. We scaffolded the assembly using the exon–gene models derived from 9805 full-length open reading frames (FL-ORFs) constructed from the beaver leukocyte and muscle transcriptomes. The final assembly comprised 22,515 contigs with an N50 of 278,680 bp and an N50-scaffold of 317,558 bp. Maximum contig and scaffold lengths were 3.3 and 4.2 Mb, respectively, with a combined scaffold length representing 92% of the estimated genome size. The completeness and accuracy of the scaffold assembly was demonstrated by the precise exon placement for 91.1% of the 9805 assembled FL-ORFs and 83.1% of the BUSCO (Benchmarking Universal Single-Copy Orthologs) gene set used to assess the quality of genome assemblies. Well-represented were genes involved in dentition and enamel deposition, defining characteristics of rodents with which the beaver is well-endowed. The study provides insights for genome assembly and an important genomics resource for Castoridae and rodent evolutionary biology.

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Stephen W. Scherer

The Centre for Applied Genomics

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Susan Walker

The Centre for Applied Genomics

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Ryan K. C. Yuen

The Centre for Applied Genomics

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Daniele Merico

The Centre for Applied Genomics

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Mehdi Zarrei

The Centre for Applied Genomics

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Mohammed Uddin

The Centre for Applied Genomics

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Brett Trost

The Centre for Applied Genomics

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