Jay Shendure
University of Washington
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Featured researches published by Jay Shendure.
Nature Biotechnology | 2008
Jay Shendure; Hanlee P. Ji
DNA sequence represents a single format onto which a broad range of biological phenomena can be projected for high-throughput data collection. Over the past three years, massively parallel DNA sequencing platforms have become widely available, reducing the cost of DNA sequencing by over two orders of magnitude, and democratizing the field by putting the sequencing capacity of a major genome center in the hands of individual investigators. These new technologies are rapidly evolving, and near-term challenges include the development of robust protocols for generating sequencing libraries, building effective new approaches to data-analysis, and often a rethinking of experimental design. Next-generation DNA sequencing has the potential to dramatically accelerate biological and biomedical research, by enabling the comprehensive analysis of genomes, transcriptomes and interactomes to become inexpensive, routine and widespread, rather than requiring significant production-scale efforts.
Nature | 2009
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 Genetics | 2010
Sarah B H Ng; Kati J. Buckingham; Choli Lee; Abigail W. Bigham; Holly K. Tabor; Karin M. Dent; Chad D. Huff; Paul Shannon; Ethylin Wang Jabs; Deborah A. Nickerson; Jay Shendure; Michael J. Bamshad
We demonstrate the first successful application of exome sequencing to discover the gene for a rare mendelian disorder of unknown cause, Miller syndrome (MIM%263750). For four affected individuals in three independent kindreds, we captured and sequenced coding regions to a mean coverage of 40× and sufficient depth to call variants at ∼97% of each targeted exome. Filtering against public SNP databases and eight HapMap exomes for genes with two previously unknown variants in each of the four individuals identified a single candidate gene, DHODH, which encodes a key enzyme in the pyrimidine de novo biosynthesis pathway. Sanger sequencing confirmed the presence of DHODH mutations in three additional families with Miller syndrome. Exome sequencing of a small number of unrelated affected individuals is a powerful, efficient strategy for identifying the genes underlying rare mendelian disorders and will likely transform the genetic analysis of monogenic traits.
Nature | 2012
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 Reviews Genetics | 2011
Michael J. Bamshad; Sarah B. Ng; Abigail W. Bigham; Holly K. Tabor; Mary J. Emond; Deborah A. Nickerson; Jay Shendure
Exome sequencing — the targeted sequencing of the subset of the human genome that is protein coding — is a powerful and cost-effective new tool for dissecting the genetic basis of diseases and traits that have proved to be intractable to conventional gene-discovery strategies. Over the past 2 years, experimental and analytical approaches relating to exome sequencing have established a rich framework for discovering the genes underlying unsolved Mendelian disorders. Additionally, exome sequencing is being adapted to explore the extent to which rare alleles explain the heritability of complex diseases and health-related traits. These advances also set the stage for applying exome and whole-genome sequencing to facilitate clinical diagnosis and personalized disease-risk profiling.
Nature Genetics | 2010
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 Genetics | 2011
Brian J. O'Roak; Pelagia Deriziotis; Choli Lee; Laura Vives; Jerrod J. Schwartz; Santhosh Girirajan; Emre Karakoc; Alexandra P. MacKenzie; Sarah B. Ng; Carl Baker; Mark J. Rieder; Deborah A. Nickerson; Raphael Bernier; Simon E. Fisher; Jay Shendure; Evan E. Eichler
Evidence for the etiology of autism spectrum disorders (ASDs) has consistently pointed to a strong genetic component complicated by substantial locus heterogeneity. We sequenced the exomes of 20 individuals with sporadic ASD (cases) and their parents, reasoning that these families would be enriched for de novo mutations of major effect. We identified 21 de novo mutations, 11 of which were protein altering. Protein-altering mutations were significantly enriched for changes at highly conserved residues. We identified potentially causative de novo events in 4 out of 20 probands, particularly among more severely affected individuals, in FOXP1, GRIN2B, SCN1A and LAMC3. In the FOXP1 mutation carrier, we also observed a rare inherited CNTNAP2 missense variant, and we provide functional support for a multi-hit model for disease risk. Our results show that trio-based exome sequencing is a powerful approach for identifying new candidate genes for ASDs and suggest that de novo mutations may contribute substantially to the genetic etiology of ASDs.
Science | 2012
Matthias Meyer; Martin Kircher; Marie Theres Gansauge; Heng Li; Fernando Racimo; Swapan Mallick; Joshua G. Schraiber; Flora Jay; Kay Prüfer; Cesare de Filippo; Peter H. Sudmant; Can Alkan; Qiaomei Fu; Ron Do; Nadin Rohland; Arti Tandon; Michael Siebauer; Richard E. Green; Katarzyna Bryc; Adrian W. Briggs; Udo Stenzel; Jesse Dabney; Jay Shendure; Jacob O. Kitzman; Michael F. Hammer; Michael V. Shunkov; Anatoli P. Derevianko; Nick Patterson; Aida M. Andrés; Evan E. Eichler
Ancient Genomics The Denisovans were archaic humans closely related to Neandertals, whose populations overlapped with the ancestors of modern-day humans. Using a single-stranded library preparation method, Meyer et al. (p. 222, published online 30 August) provide a detailed analysis of a high-quality Denisovan genome. The genomic sequence provides evidence for very low rates of heterozygosity in the Denisova, probably not because of recent inbreeding, but instead because of a small population size. The genome sequence also illuminates the relationships between humans and archaics, including Neandertals, and establishes a catalog of genetic changes within the human lineage. A close-up look provides clues to the relationships between modern humans, Denisovans, and Neandertals. We present a DNA library preparation method that has allowed us to reconstruct a high-coverage (30×) genome sequence of a Denisovan, an extinct relative of Neandertals. The quality of this genome allows a direct estimation of Denisovan heterozygosity indicating that genetic diversity in these archaic hominins was extremely low. It also allows tentative dating of the specimen on the basis of “missing evolution” in its genome, detailed measurements of Denisovan and Neandertal admixture into present-day human populations, and the generation of a near-complete catalog of genetic changes that swept to high frequency in modern humans since their divergence from Denisovans.
Science | 2010
Jared C. Roach; Gustavo Glusman; Arian Smit; Chad D. Huff; Robert Hubley; Paul Shannon; Lee Rowen; Krishna Pant; Nathan Goodman; Michael J. Bamshad; Jay Shendure; Radoje Drmanac; Lynn B. Jorde; Leroy Hood; David J. Galas
Runs in the Family The power to detect mutations involved in disease by genome sequencing is enhanced when combined with the ability to discover specific mutations that may have arisen between offspring and parents. Roach et al. (p. 636, published online 10 March) present the sequence of a family with two offspring affected with two genetic disorders: Miller syndrome and primary ciliary dyskinesia. Sequence analysis of the children and their parents not only showed that the intergenerational mutation rate was lower than anticipated but also revealed recombination sites and the occurrence of rare polymorphisms. Genomic sequencing of an entire family reveals the rate of spontaneous mutations in humans and identifies disease genes. We analyzed the whole-genome sequences of a family of four, consisting of two siblings and their parents. Family-based sequencing allowed us to delineate recombination sites precisely, identify 70% of the sequencing errors (resulting in > 99.999% accuracy), and identify very rare single-nucleotide polymorphisms. We also directly estimated a human intergeneration mutation rate of ~1.1 × 10−8 per position per haploid genome. Both offspring in this family have two recessive disorders: Miller syndrome, for which the gene was concurrently identified, and primary ciliary dyskinesia, for which causative genes have been previously identified. Family-based genome analysis enabled us to narrow the candidate genes for both of these Mendelian disorders to only four. Our results demonstrate the value of complete genome sequencing in families.
Nature | 2014
Kay Prüfer; Fernando Racimo; Nick Patterson; Flora Jay; Sriram Sankararaman; Susanna Sawyer; Anja Heinze; Gabriel Renaud; Peter H. Sudmant; Cesare de Filippo; Heng Li; Swapan Mallick; Michael Dannemann; Qiaomei Fu; Martin Kircher; Martin Kuhlwilm; Michael Lachmann; Matthias Meyer; Matthias Ongyerth; Michael Siebauer; Christoph Theunert; Arti Tandon; Priya Moorjani; Joseph K. Pickrell; James C. Mullikin; Samuel H. Vohr; Richard E. Green; Ines Hellmann; Philip L. F. Johnson; Hélène Blanché
We present a high-quality genome sequence of a Neanderthal woman from Siberia. We show that her parents were related at the level of half-siblings and that mating among close relatives was common among her recent ancestors. We also sequenced the genome of a Neanderthal from the Caucasus to low coverage. An analysis of the relationships and population history of available archaic genomes and 25 present-day human genomes shows that several gene flow events occurred among Neanderthals, Denisovans and early modern humans, possibly including gene flow into Denisovans from an unknown archaic group. Thus, interbreeding, albeit of low magnitude, occurred among many hominin groups in the Late Pleistocene. In addition, the high-quality Neanderthal genome allows us to establish a definitive list of substitutions that became fixed in modern humans after their separation from the ancestors of Neanderthals and Denisovans.