Brock A. Peters
Howard Hughes Medical Institute
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Publication
Featured researches published by Brock A. Peters.
Science | 2010
Radoje Drmanac; Andrew Sparks; Matthew J. Callow; Aaron L. Halpern; Norman L. Burns; Bahram Ghaffarzadeh Kermani; Paolo Carnevali; Igor Nazarenko; Geoffrey B. Nilsen; George Yeung; Fredrik Dahl; Andres Fernandez; Bryan Staker; Krishna Pant; Jonathan Baccash; Adam P. Borcherding; Anushka Brownley; Ryan Cedeno; Linsu Chen; Dan Chernikoff; Alex Cheung; Razvan Chirita; Benjamin Curson; Jessica Ebert; Coleen R. Hacker; Robert Hartlage; Brian Hauser; Steve Huang; Yuan Jiang; Vitali Karpinchyk
Toward
Nature | 2012
Brock A. Peters; Bahram Ghaffarzadeh Kermani; Andrew Sparks; Oleg Alferov; Peter Hong; Andrei Alexeev; Yuan Jiang; Fredrik Dahl; Y. Tom Tang; Juergen Haas; Kimberly Robasky; Alexander Wait Zaranek; Je-Hyuk Lee; Madeleine Ball; Joseph E. Peterson; Helena Perazich; George Yeung; Jia Liu; Linsu Chen; Michael Kennemer; Kaliprasad Pothuraju; Karel Konvicka; Mike Tsoupko-Sitnikov; Krishna Pant; Jessica Ebert; Geoffrey B. Nilsen; Jonathan Baccash; Aaron L. Halpern; George M. Church; Radoje Drmanac
1000 Genomes The ability to generate human genome sequence data that is complete, accurate, and inexpensive is a necessary prerequisite to perform genome-wide disease association studies. Drmanac et al. (p. 78, published online 5 November) present a technique advancing toward this goal. The method uses Type IIS endonucleases to incorporate short oligonucleotides within a set of randomly sheared circularized DNA. DNA polymerase then generates concatenated copies of the circular oligonucleotides leading to formation of compact but very long oligonucleotides which are then sequenced by ligation. The relatively low cost of this technology, which shows a low error rate, advances sequencing closer to the goal of the
Nature Genetics | 2013
Christian P. Schaaf; Manuel L. Gonzalez-Garay; Fan Xia; Lorraine Potocki; Karen W. Gripp; Baili Zhang; Brock A. Peters; Mark A. McElwain; Radoje Drmanac; Arthur L. Beaudet; C. Thomas Caskey; Yaping Yang
1000 genome. A low-cost sequencing technique advances us closer to the goal of the
Proceedings of the National Academy of Sciences of the United States of America | 2012
Madeleine Ball; Joseph V. Thakuria; Alexander Wait Zaranek; Tom Clegg; Abraham M. Rosenbaum; Xiaodi Wu; Misha Angrist; Jong Bhak; Jason Bobe; Matthew J. Callow; Carlos Cano; Michael F. Chou; Wendy K. Chung; Shawn M. Douglas; Preston W. Estep; Athurva Gore; Peter J. Hulick; Alberto Labarga; Je-Hyuk Lee; Jeantine E. Lunshof; Byung Chul Kim; Jong-Il Kim; Zhe Li; Michael F. Murray; Geoffrey B. Nilsen; Brock A. Peters; Anugraha M. Raman; Hugh Y. Rienhoff; Kimberly Robasky; Matthew T. Wheeler
1000 human genome. Genome sequencing of large numbers of individuals promises to advance the understanding, treatment, and prevention of human diseases, among other applications. We describe a genome sequencing platform that achieves efficient imaging and low reagent consumption with combinatorial probe anchor ligation chemistry to independently assay each base from patterned nanoarrays of self-assembling DNA nanoballs. We sequenced three human genomes with this platform, generating an average of 45- to 87-fold coverage per genome and identifying 3.2 to 4.5 million sequence variants per genome. Validation of one genome data set demonstrates a sequence accuracy of about 1 false variant per 100 kilobases. The high accuracy, affordable cost of
Pharmacogenomics | 2014
Clint Mizzi; Brock A. Peters; Christina Mitropoulou; Konstantinos Mitropoulos; Theodora Katsila; Misha R. Agarwal; Ron H.N. van Schaik; Radoje Drmanac; Joseph A. Borg; George P. Patrinos
4400 for sequencing consumables, and scalability of this platform enable complete human genome sequencing for the detection of rare variants in large-scale genetic studies.
Cancer Research | 2014
Vidhya Gomathi Krishnan; Philip J. Ebert; Jason C. Ting; Elaine Lim; Swee-Seong Wong; Audrey S.M. Teo; Yong G. Yue; Huihoon Chua; Xiwen Ma; Gary S.L. Loh; Yuhao Lin; Joanna H.J. Tan; Kun Yu; Shenli Zhang; Christoph Reinhard; Daniel S.W. Tan; Brock A. Peters; Stephen E Lincoln; Dennis G. Ballinger; Jason M. Laramie; Geoffrey B. Nilsen; Thomas D. Barber; Patrick Tan; Axel M. Hillmer; Pauline C. Ng
Recent advances in whole-genome sequencing have brought the vision of personal genomics and genomic medicine closer to reality. However, current methods lack clinical accuracy and the ability to describe the context (haplotypes) in which genome variants co-occur in a cost-effective manner. Here we describe a low-cost DNA sequencing and haplotyping process, long fragment read (LFR) technology, which is similar to sequencing long single DNA molecules without cloning or separation of metaphase chromosomes. In this study, ten LFR libraries were made using only ∼100 picograms of human DNA per sample. Up to 97% of the heterozygous single nucleotide variants were assembled into long haplotype contigs. Removal of false positive single nucleotide variants not phased by multiple LFR haplotypes resulted in a final genome error rate of 1 in 10 megabases. Cost-effective and accurate genome sequencing and haplotyping from 10–20 human cells, as demonstrated here, will enable comprehensive genetic studies and diverse clinical applications.
Genome Research | 2015
Brock A. Peters; Bahram Ghaffarzadeh Kermani; Oleg Alferov; Misha R. Agarwal; Mark A. McElwain; Natali Gulbahce; Daniel M. Hayden; Y. Tom Tang; Rebecca Yu Zhang; Rick Tearle; Birgit Crain; R. Prates; A.S. Berkeley; Santiago Munné; Radoje Drmanac
Prader-Willi syndrome (PWS) is caused by the absence of paternally expressed, maternally silenced genes at 15q11-q13. We report four individuals with truncating mutations on the paternal allele of MAGEL2, a gene within the PWS domain. The first subject was ascertained by whole-genome sequencing analysis for PWS features. Three additional subjects were identified by reviewing the results of exome sequencing of 1,248 cases in a clinical laboratory. All four subjects had autism spectrum disorder (ASD), intellectual disability and a varying degree of clinical and behavioral features of PWS. These findings suggest that MAGEL2 is a new gene causing complex ASD and that MAGEL2 loss of function can contribute to several aspects of the PWS phenotype.
Cancer Research | 2017
Natali Gulbahce; Mark Jesus M. Magbanua; Robert Chin; Misha R. Agarwal; Xuhao Luo; Jia Liu; Daniel M. Hayden; Qing Mao; Serban Ciotlos; Zhenyu Li; Yanxiang Chen; Xingpeng Chen; Yuxiang Li; Rebecca Yu Zhang; Katharine Lee; Rick Tearle; Emily Park; Snezana Drmanac; Hope S. Rugo; John W. Park; Radoje Drmanac; Brock A. Peters
Rapid advances in DNA sequencing promise to enable new diagnostics and individualized therapies. Achieving personalized medicine, however, will require extensive research on highly reidentifiable, integrated datasets of genomic and health information. To assist with this, participants in the Personal Genome Project choose to forgo privacy via our institutional review board- approved “open consent” process. The contribution of public data and samples facilitates both scientific discovery and standardization of methods. We present our findings after enrollment of more than 1,800 participants, including whole-genome sequencing of 10 pilot participant genomes (the PGP-10). We introduce the Genome-Environment-Trait Evidence (GET-Evidence) system. This tool automatically processes genomes and prioritizes both published and novel variants for interpretation. In the process of reviewing the presumed healthy PGP-10 genomes, we find numerous literature references implying serious disease. Although it is sometimes impossible to rule out a late-onset effect, stringent evidence requirements can address the high rate of incidental findings. To that end we develop a peer production system for recording and organizing variant evaluations according to standard evidence guidelines, creating a public forum for reaching consensus on interpretation of clinically relevant variants. Genome analysis becomes a two-step process: using a prioritized list to record variant evaluations, then automatically sorting reviewed variants using these annotations. Genome data, health and trait information, participant samples, and variant interpretations are all shared in the public domain—we invite others to review our results using our participant samples and contribute to our interpretations. We offer our public resource and methods to further personalized medical research.
EBioMedicine | 2016
Karin Hellner; Fabrizio Miranda; Donatien Fotso Chedom; Sandra Herrero-Gonzalez; Daniel M. Hayden; Rick Tearle; Mara Artibani; Mohammad KaramiNejadRanjbar; Ruth Williams; Kezia Gaitskell; Samar Elorbany; Ruoyan Xu; Alex Laios; Petronela Buiga; Karim Ahmed; Sunanda Dhar; Rebecca Yu Zhang; Leticia Campo; Kevin Alan Myers; Maria D. Lozano; María Ruiz-Miró; Sonia Gatius; Alba Mota; Gema Moreno-Bueno; Xavier Matias-Guiu; Javier Benitez; Lorna Witty; Gil McVean; Simon Leedham; Ian Tomlinson
AIM Pharmacogenomics holds promise to rationalize drug use by minimizing drug toxicity and at the same time increase drug efficacy. There are currently several assays to screen for known pharmacogenomic biomarkers for the most commonly prescribed drugs. However, these genetic screening assays cannot account for other known or novel pharmacogenomic markers. MATERIALS & METHODS We analyzed whole-genome sequences of 482 unrelated individuals of various ethnic backgrounds to obtain their personalized pharmacogenomics profiles. RESULTS Bioinformatics analysis revealed 408,964 variants in 231 pharmacogenes, from which 26,807 were residing on exons and proximal regulatory sequences, whereas 16,487 were novel. In silico analyses indicated that 1012 novel pharmacogene-related variants possibly abolish protein function. We have also performed whole-genome sequencing analysis in a seven-member family of Greek origin in an effort to explain the variable response rate to acenocoumarol treatment in two family members. CONCLUSION Overall, our data demonstrate that whole-genome sequencing, unlike conventional genetic screening methods, is necessary to determine an individuals pharmacogenomics profile in a more comprehensive manner, which, combined with the gradually decreasing whole-genome sequencing costs, would expedite bringing personalized medicine closer to reality.
Frontiers in Genetics | 2015
Brock A. Peters; Jia Liu; Radoje Drmanac
Asian nonsmoking populations have a higher incidence of lung cancer compared with their European counterparts. There is a long-standing hypothesis that the increase of lung cancer in Asian never-smokers is due to environmental factors such as second-hand smoke. We analyzed whole-genome sequencing of 30 Asian lung cancers. Unsupervised clustering of mutational signatures separated the patients into two categories of either all the never-smokers or all the smokers or ex-smokers. In addition, nearly one third of the ex-smokers and smokers classified with the never-smoker-like cluster. The somatic variant profiles of Asian lung cancers were similar to that of European origin with G.C>T.A being predominant in smokers. We found EGFR and TP53 to be the most frequently mutated genes with mutations in 50% and 27% of individuals, respectively. Among the 16 never-smokers, 69% had an EGFR mutation compared with 29% of 14 smokers/ex-smokers. Asian never-smokers had lung cancer signatures distinct from the smoker signature and their mutation profiles were similar to European never-smokers. The profiles of Asian and European smokers are also similar. Taken together, these results suggested that the same mutational mechanisms underlie the etiology for both ethnic groups. Thus, the high incidence of lung cancer in Asian never-smokers seems unlikely to be due to second-hand smoke or other carcinogens that cause oxidative DNA damage, implying that routine EGFR testing is warranted in the Asian population regardless of smoking status.