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Dive into the research topics where Emily H. Turner is active.

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Featured researches published by Emily H. Turner.


Nature | 2009

Targeted capture and massively parallel sequencing of 12 human exomes

Sarah B H Ng; Emily H. Turner; Peggy D. Robertson; Steven D. Flygare; Abigail W. Bigham; Choli Lee; Tristan Shaffer; Michelle Wong; Arindam Bhattacharjee; Evan E. Eichler; Michael J. Bamshad; Deborah A. Nickerson; Jay Shendure

Genome-wide association studies suggest that common genetic variants explain only a modest fraction of heritable risk for common diseases, raising the question of whether rare variants account for a significant fraction of unexplained heritability. Although DNA sequencing costs have fallen markedly, they remain far from what is necessary for rare and novel variants to be routinely identified at a genome-wide scale in large cohorts. We have therefore sought to develop second-generation methods for targeted sequencing of all protein-coding regions (‘exomes’), to reduce costs while enriching for discovery of highly penetrant variants. Here we report on the targeted capture and massively parallel sequencing of the exomes of 12 humans. These include eight HapMap individuals representing three populations, and four unrelated individuals with a rare dominantly inherited disorder, Freeman–Sheldon syndrome (FSS). We demonstrate the sensitive and specific identification of rare and common variants in over 300 megabases of coding sequence. Using FSS as a proof-of-concept, we show that candidate genes for Mendelian disorders can be identified by exome sequencing of a small number of unrelated, affected individuals. This strategy may be extendable to diseases with more complex genetics through larger sample sizes and appropriate weighting of non-synonymous variants by predicted functional impact.


Nature | 2012

Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations

Brian J. O’Roak; Laura Vives; Santhosh Girirajan; Emre Karakoc; Niklas Krumm; Bradley P. Coe; Roie Levy; Arthur Ko; Choli Lee; Joshua D. Smith; Emily H. Turner; Ian B. Stanaway; Benjamin Vernot; Maika Malig; Carl Baker; Beau Reilly; Joshua M. Akey; Elhanan Borenstein; Mark J. Rieder; Deborah A. Nickerson; Raphael Bernier; Jay Shendure; Evan E. Eichler

It is well established that autism spectrum disorders (ASD) have a strong genetic component; however, for at least 70% of cases, the underlying genetic cause is unknown. Under the hypothesis that de novo mutations underlie a substantial fraction of the risk for developing ASD in families with no previous history of ASD or related phenotypes—so-called sporadic or simplex families—we sequenced all coding regions of the genome (the exome) for parent–child trios exhibiting sporadic ASD, including 189 new trios and 20 that were previously reported. Additionally, we also sequenced the exomes of 50 unaffected siblings corresponding to these new (n = 31) and previously reported trios (n = 19), for a total of 677 individual exomes from 209 families. Here we show that de novo point mutations are overwhelmingly paternal in origin (4:1 bias) and positively correlated with paternal age, consistent with the modest increased risk for children of older fathers to develop ASD. Moreover, 39% (49 of 126) of the most severe or disruptive de novo mutations map to a highly interconnected β-catenin/chromatin remodelling protein network ranked significantly for autism candidate genes. In proband exomes, recurrent protein-altering mutations were observed in two genes: CHD8 and NTNG1. Mutation screening of six candidate genes in 1,703 ASD probands identified additional de novo, protein-altering mutations in GRIN2B, LAMC3 and SCN1A. Combined with copy number variant (CNV) data, these results indicate extreme locus heterogeneity but also provide a target for future discovery, diagnostics and therapeutics.


Nature Genetics | 2010

Exome sequencing identifies MLL2 mutations as a cause of Kabuki syndrome

Sarah B. Ng; Abigail W. Bigham; Kati J. Buckingham; Mark C. Hannibal; Margaret J. McMillin; Heidi I. Gildersleeve; Anita E. Beck; Holly K. Tabor; Gregory M. Cooper; Mefford Hc; Choli Lee; Emily H. Turner; Joshua D. Smith; Mark J. Rieder; Koh-ichiro Yoshiura; Naomichi Matsumoto; Tohru Ohta; Norio Niikawa; Deborah A. Nickerson; Michael J. Bamshad; Jay Shendure

We demonstrate the successful application of exome sequencing to discover a gene for an autosomal dominant disorder, Kabuki syndrome (OMIM%147920). We subjected the exomes of ten unrelated probands to massively parallel sequencing. After filtering against existing SNP databases, there was no compelling candidate gene containing previously unknown variants in all affected individuals. Less stringent filtering criteria allowed for the presence of modest genetic heterogeneity or missing data but also identified multiple candidate genes. However, genotypic and phenotypic stratification highlighted MLL2, which encodes a Trithorax-group histone methyltransferase: seven probands had newly identified nonsense or frameshift mutations in this gene. Follow-up Sanger sequencing detected MLL2 mutations in two of the three remaining individuals with Kabuki syndrome (cases) and in 26 of 43 additional cases. In families where parental DNA was available, the mutation was confirmed to be de novo (n = 12) or transmitted (n = 2) in concordance with phenotype. Our results strongly suggest that mutations in MLL2 are a major cause of Kabuki syndrome.


Nature Methods | 2010

Target-enrichment strategies for next-generation sequencing

Lira Mamanova; Alison J. Coffey; Carol Scott; Iwanka Kozarewa; Emily H. Turner; Akash Kumar; Eleanor Howard; Jay Shendure; Daniel J. Turner

We have not yet reached a point at which routine sequencing of large numbers of whole eukaryotic genomes is feasible, and so it is often necessary to select genomic regions of interest and to enrich these regions before sequencing. There are several enrichment approaches, each with unique advantages and disadvantages. Here we describe our experiences with the leading target-enrichment technologies, the optimizations that we have performed and typical results that can be obtained using each. We also provide detailed protocols for each technology so that end users can find the best compromise between sensitivity, specificity and uniformity for their particular project.


Genome Biology | 2010

Rapid, low-input, low-bias construction of shotgun fragment libraries by high-density in vitro transposition

Andrew Adey; Hilary G. Morrison; Asan; Xu Xun; Jacob O. Kitzman; Emily H. Turner; Bethany Stackhouse; Alexandra P. MacKenzie; Nicholas C Caruccio; Xiuqing Zhang; Jay Shendure

We characterize and extend a highly efficient method for constructing shotgun fragment libraries in which transposase catalyzes in vitro DNA fragmentation and adaptor incorporation simultaneously. We apply this method to sequencing a human genome and find that coverage biases are comparable to those of conventional protocols. We also extend its capabilities by developing protocols for sub-nanogram library construction, exome capture from 50 ng of input DNA, PCR-free and colony PCR library construction, and 96-plex sample indexing.


Nature Methods | 2009

Massively parallel exon capture and library-free resequencing across 16 genomes

Emily H. Turner; Choli Lee; Sarah B. Ng; Deborah A. Nickerson; Jay Shendure

To the Editor: The adoption of molecular inversion probes (MIPs) to massively parallel exon capture1 has been limited by representational and allelic bias. We describe modifications enabling simultaneous amplification and accurate shotgun sequencing of 50,000 exons. We also prove the scalability and accuracy of direct sequencing of MIP amplicons, which circumvents all shotgun library construction, while resequencing 1 megabase of coding sequence across 16 human genomes with >99% HapMap concordance.


Genome Research | 2013

The million mutation project: A new approach to genetics in Caenorhabditis elegans

Owen Thompson; Mark L. Edgley; Pnina Strasbourger; Stephane Flibotte; Brent Ewing; Ryan Adair; Vinci Au; Iasha Chaudhry; Lisa Fernando; Harald Hutter; Armelle Kieffer; Joanne Lau; Norris Lee; Angela Miller; Greta Raymant; Bin Shen; Jay Shendure; Jon Taylor; Emily H. Turner; LaDeana W. Hillier; Donald G. Moerman; Robert H. Waterston

We have created a library of 2007 mutagenized Caenorhabditis elegans strains, each sequenced to a target depth of 15-fold coverage, to provide the research community with mutant alleles for each of the worms more than 20,000 genes. The library contains over 800,000 unique single nucleotide variants (SNVs) with an average of eight nonsynonymous changes per gene and more than 16,000 insertion/deletion (indel) and copy number changes, providing an unprecedented genetic resource for this multicellular organism. To supplement this collection, we also sequenced 40 wild isolates, identifying more than 630,000 unique SNVs and 220,000 indels. Comparison of the two sets demonstrates that the mutant collection has a much richer array of both nonsense and missense mutations than the wild isolate set. We also find a wide range of rDNA and telomere repeat copy number in both sets. Scanning the mutant collection for molecular phenotypes reveals a nonsense suppressor as well as strains with higher levels of indels that harbor mutations in DNA repair genes and strains with abundant males associated with him mutations. All the strains are available through the Caenorhabditis Genetics Center and all the sequence changes have been deposited in WormBase and are available through an interactive website.


Genome Research | 2015

Actionable exomic incidental findings in 6503 participants: challenges of variant classification

Laura M. Amendola; Michael O. Dorschner; Peggy D. Robertson; Joseph Salama; Ragan Hart; Brian H. Shirts; Mitzi L. Murray; Mari J. Tokita; Carlos J. Gallego; Daniel Seung Kim; James Bennett; David R. Crosslin; Jane Ranchalis; Kelly L. Jones; Elisabeth A. Rosenthal; Ella R. Jarvik; Andy Itsara; Emily H. Turner; Daniel S. Herman; Jennifer Schleit; Amber A. Burt; Seema M. Jamal; Jenica L. Abrudan; Andrew D. Johnson; Laura K. Conlin; Matthew C. Dulik; Avni Santani; Danielle R. Metterville; Melissa A. Kelly; Ann Katherine M. Foreman

Recommendations for laboratories to report incidental findings from genomic tests have stimulated interest in such results. In order to investigate the criteria and processes for assigning the pathogenicity of specific variants and to estimate the frequency of such incidental findings in patients of European and African ancestry, we classified potentially actionable pathogenic single-nucleotide variants (SNVs) in all 4300 European- and 2203 African-ancestry participants sequenced by the NHLBI Exome Sequencing Project (ESP). We considered 112 gene-disease pairs selected by an expert panel as associated with medically actionable genetic disorders that may be undiagnosed in adults. The resulting classifications were compared to classifications from other clinical and research genetic testing laboratories, as well as with in silico pathogenicity scores. Among European-ancestry participants, 30 of 4300 (0.7%) had a pathogenic SNV and six (0.1%) had a disruptive variant that was expected to be pathogenic, whereas 52 (1.2%) had likely pathogenic SNVs. For African-ancestry participants, six of 2203 (0.3%) had a pathogenic SNV and six (0.3%) had an expected pathogenic disruptive variant, whereas 13 (0.6%) had likely pathogenic SNVs. Genomic Evolutionary Rate Profiling mammalian conservation score and the Combined Annotation Dependent Depletion summary score of conservation, substitution, regulation, and other evidence were compared across pathogenicity assignments and appear to have utility in variant classification. This work provides a refined estimate of the burden of adult onset, medically actionable incidental findings expected from exome sequencing, highlights challenges in variant classification, and demonstrates the need for a better curated variant interpretation knowledge base.


Annual Review of Genomics and Human Genetics | 2009

Methods for Genomic Partitioning

Emily H. Turner; Sarah B. Ng; Deborah A. Nickerson; Jay Shendure

The emergence of massively parallel DNA sequencing platforms has made resequencing an affordable approach to study genetic variation. However, the cost of whole genome resequencing remains too high to apply to large numbers of human samples. Genomic partitioning methods allow enrichment for regions of interest at a scale that is matched to the throughput of the new sequencing platforms. We review general categories of methods for genomic partitioning including multiplex PCR, capture-by-circularization, and capture-by-hybridization. Parameters that are relevant to the performance of any given method include multiplexity, specificity, uniformity, input requirements, scalability, and cost. The successful development of genomic partitioning strategies will be key to taking full advantage of massively parallel sequencing, at least until resequencing of complete mammalian genomes becomes widely affordable.


Nature Methods | 2010

Parallel, tag-directed assembly of locally derived short sequence reads

Joseph Hiatt; Rupali P Patwardhan; Emily H. Turner; Choli Lee; Jay Shendure

We demonstrate subassembly, an in vitro library construction method that extends the utility of short-read sequencing platforms to applications requiring long, accurate reads. A long DNA fragment library is converted to a population of nested sublibraries, and a tag sequence directs grouping of short reads derived from the same long fragment, enabling localized assembly of long fragment sequences. Subassembly may facilitate accurate de novo genome assembly and metagenome sequencing.

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Jay Shendure

University of Washington

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Choli Lee

University of Washington

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