Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Robert S. Fulton is active.

Publication


Featured researches published by Robert S. Fulton.


Nature | 2008

Somatic mutations affect key pathways in lung adenocarcinoma

Li Ding; Gad Getz; David A. Wheeler; Elaine R. Mardis; Michael D. McLellan; Kristian Cibulskis; Carrie Sougnez; Heidi Greulich; Donna M. Muzny; Margaret Morgan; Lucinda Fulton; Robert S. Fulton; Qunyuan Zhang; Michael C. Wendl; Michael S. Lawrence; David E. Larson; Ken Chen; David J. Dooling; Aniko Sabo; Alicia Hawes; Hua Shen; Shalini N. Jhangiani; Lora Lewis; Otis Hall; Yiming Zhu; Tittu Mathew; Yanru Ren; Jiqiang Yao; Steven E. Scherer; Kerstin Clerc

Determining the genetic basis of cancer requires comprehensive analyses of large collections of histopathologically well-classified primary tumours. Here we report the results of a collaborative study to discover somatic mutations in 188 human lung adenocarcinomas. DNA sequencing of 623 genes with known or potential relationships to cancer revealed more than 1,000 somatic mutations across the samples. Our analysis identified 26 genes that are mutated at significantly high frequencies and thus are probably involved in carcinogenesis. The frequently mutated genes include tyrosine kinases, among them the EGFR homologue ERBB4; multiple ephrin receptor genes, notably EPHA3; vascular endothelial growth factor receptor KDR; and NTRK genes. These data provide evidence of somatic mutations in primary lung adenocarcinoma for several tumour suppressor genes involved in other cancers—including NF1, APC, RB1 and ATM—and for sequence changes in PTPRD as well as the frequently deleted gene LRP1B. The observed mutational profiles correlate with clinical features, smoking status and DNA repair defects. These results are reinforced by data integration including single nucleotide polymorphism array and gene expression array. Our findings shed further light on several important signalling pathways involved in lung adenocarcinoma, and suggest new molecular targets for treatment.


The New England Journal of Medicine | 2009

Recurring Mutations Found by Sequencing an Acute Myeloid Leukemia Genome

Elaine R. Mardis; Li Ding; David J. Dooling; David E. Larson; Michael D. McLellan; Ken Chen; Daniel C. Koboldt; Robert S. Fulton; Kim D. Delehaunty; Sean McGrath; Lucinda A. Fulton; Devin P. Locke; Vincent Magrini; Rachel Abbott; Tammi L. Vickery; Jerry S. Reed; Jody S. Robinson; Todd Wylie; Scott M. Smith; Lynn K. Carmichael; James M. Eldred; Christopher C. Harris; Jason Walker; Joshua B. Peck; Feiyu Du; Adam F. Dukes; Gabriel E. Sanderson; Anthony M. Brummett; Eric Clark; Joshua F. McMichael

BACKGROUND The full complement of DNA mutations that are responsible for the pathogenesis of acute myeloid leukemia (AML) is not yet known. METHODS We used massively parallel DNA sequencing to obtain a very high level of coverage (approximately 98%) of a primary, cytogenetically normal, de novo genome for AML with minimal maturation (AML-M1) and a matched normal skin genome. RESULTS We identified 12 acquired (somatic) mutations within the coding sequences of genes and 52 somatic point mutations in conserved or regulatory portions of the genome. All mutations appeared to be heterozygous and present in nearly all cells in the tumor sample. Four of the 64 mutations occurred in at least 1 additional AML sample in 188 samples that were tested. Mutations in NRAS and NPM1 had been identified previously in patients with AML, but two other mutations had not been identified. One of these mutations, in the IDH1 gene, was present in 15 of 187 additional AML genomes tested and was strongly associated with normal cytogenetic status; it was present in 13 of 80 cytogenetically normal samples (16%). The other was a nongenic mutation in a genomic region with regulatory potential and conservation in higher mammals; we detected it in one additional AML tumor. The AML genome that we sequenced contains approximately 750 point mutations, of which only a small fraction are likely to be relevant to pathogenesis. CONCLUSIONS By comparing the sequences of tumor and skin genomes of a patient with AML-M1, we have identified recurring mutations that may be relevant for pathogenesis.


Nature | 2003

The male-specific region of the human Y chromosome is a mosaic of discrete sequence classes

Helen Skaletsky; Tomoko Kuroda-Kawaguchi; Patrick Minx; Holland S. Cordum; LaDeana W. Hillier; Laura G. Brown; Sjoerd Repping; Johar Ali; Tamberlyn Bieri; Asif T. Chinwalla; Andrew Delehaunty; Kim D. Delehaunty; Hui Du; Ginger Fewell; Lucinda Fulton; Robert S. Fulton; Tina Graves; Shunfang Hou; Philip Latrielle; Shawn Leonard; Elaine R. Mardis; Rachel Maupin; John D. McPherson; Tracie L. Miner; William E. Nash; Christine Nguyen; Philip Ozersky; Kymberlie H. Pepin; Susan Rock; Tracy Rohlfing

The male-specific region of the Y chromosome, the MSY, differentiates the sexes and comprises 95% of the chromosomes length. Here, we report that the MSY is a mosaic of heterochromatic sequences and three classes of euchromatic sequences: X-transposed, X-degenerate and ampliconic. These classes contain all 156 known transcription units, which include 78 protein-coding genes that collectively encode 27 distinct proteins. The X-transposed sequences exhibit 99% identity to the X chromosome. The X-degenerate sequences are remnants of ancient autosomes from which the modern X and Y chromosomes evolved. The ampliconic class includes large regions (about 30% of the MSY euchromatin) where sequence pairs show greater than 99.9% identity, which is maintained by frequent gene conversion (non-reciprocal transfer). The most prominent features here are eight massive palindromes, at least six of which contain testis genes.


Nature | 2012

Clonal evolution in relapsed acute myeloid leukaemia revealed by whole-genome sequencing

Li Ding; Timothy J. Ley; David E. Larson; Christopher A. Miller; Daniel C. Koboldt; John S. Welch; Julie Ritchey; Margaret A. Young; Tamara Lamprecht; Michael D. McLellan; Joshua F. McMichael; John W. Wallis; Charles Lu; Dong Shen; Christopher C. Harris; David J. Dooling; Robert S. Fulton; Lucinda Fulton; Ken Chen; Heather K. Schmidt; Joelle Kalicki-Veizer; Vincent Magrini; Lisa Cook; Sean McGrath; Tammi L. Vickery; Michael C. Wendl; Sharon Heath; Mark A. Watson; Daniel C. Link; Michael H. Tomasson

Most patients with acute myeloid leukaemia (AML) die from progressive disease after relapse, which is associated with clonal evolution at the cytogenetic level. To determine the mutational spectrum associated with relapse, we sequenced the primary tumour and relapse genomes from eight AML patients, and validated hundreds of somatic mutations using deep sequencing; this allowed us to define clonality and clonal evolution patterns precisely at relapse. In addition to discovering novel, recurrently mutated genes (for example, WAC, SMC3, DIS3, DDX41 and DAXX) in AML, we also found two major clonal evolution patterns during AML relapse: (1) the founding clone in the primary tumour gained mutations and evolved into the relapse clone, or (2) a subclone of the founding clone survived initial therapy, gained additional mutations and expanded at relapse. In all cases, chemotherapy failed to eradicate the founding clone. The comparison of relapse-specific versus primary tumour mutations in all eight cases revealed an increase in transversions, probably due to DNA damage caused by cytotoxic chemotherapy. These data demonstrate that AML relapse is associated with the addition of new mutations and clonal evolution, which is shaped, in part, by the chemotherapy that the patients receive to establish and maintain remissions.


Nature | 2010

Genome remodelling in a basal-like breast cancer metastasis and xenograft.

Li Ding; Matthew J. Ellis; Shunqiang Li; David E. Larson; Ken Chen; John W. Wallis; Christopher C. Harris; Michael D. McLellan; Robert S. Fulton; Lucinda Fulton; Rachel Abbott; Jeremy Hoog; David J. Dooling; Daniel C. Koboldt; Heather K. Schmidt; Joelle Kalicki; Qunyuan Zhang; Lei Chen; Ling Lin; Michael C. Wendl; Joshua F. McMichael; Vincent Magrini; Lisa Cook; Sean McGrath; Tammi L. Vickery; Elizabeth L. Appelbaum; Katherine DeSchryver; Sherri R. Davies; Therese Guintoli; Li Lin

Massively parallel DNA sequencing technologies provide an unprecedented ability to screen entire genomes for genetic changes associated with tumour progression. Here we describe the genomic analyses of four DNA samples from an African-American patient with basal-like breast cancer: peripheral blood, the primary tumour, a brain metastasis and a xenograft derived from the primary tumour. The metastasis contained two de novo mutations and a large deletion not present in the primary tumour, and was significantly enriched for 20 shared mutations. The xenograft retained all primary tumour mutations and displayed a mutation enrichment pattern that resembled the metastasis. Two overlapping large deletions, encompassing CTNNA1, were present in all three tumour samples. The differential mutation frequencies and structural variation patterns in metastasis and xenograft compared with the primary tumour indicate that secondary tumours may arise from a minority of cells within the primary tumour.


Nature | 2012

The genetic basis of early T-cell precursor acute lymphoblastic leukaemia.

Jinghui Zhang; Li Ding; Linda Holmfeldt; Gang Wu; Susan L. Heatley; Debbie Payne-Turner; John Easton; Xiang Chen; Jianmin Wang; Michael Rusch; Charles Lu; Shann Ching Chen; Lei Wei; J. Racquel Collins-Underwood; Jing Ma; Kathryn G. Roberts; Stanley Pounds; Anatoly Ulyanov; Jared Becksfort; Pankaj Gupta; Robert Huether; Richard W. Kriwacki; Matthew Parker; Daniel J. McGoldrick; David Zhao; Daniel Alford; Stephen Espy; Kiran Chand Bobba; Guangchun Song; Deqing Pei

Early T-cell precursor acute lymphoblastic leukaemia (ETP ALL) is an aggressive malignancy of unknown genetic basis. We performed whole-genome sequencing of 12 ETP ALL cases and assessed the frequency of the identified somatic mutations in 94 T-cell acute lymphoblastic leukaemia cases. ETP ALL was characterized by activating mutations in genes regulating cytokine receptor and RAS signalling (67% of cases; NRAS, KRAS, FLT3, IL7R, JAK3, JAK1, SH2B3 and BRAF), inactivating lesions disrupting haematopoietic development (58%; GATA3, ETV6, RUNX1, IKZF1 and EP300) and histone-modifying genes (48%; EZH2, EED, SUZ12, SETD2 and EP300). We also identified new targets of recurrent mutation including DNM2, ECT2L and RELN. The mutational spectrum is similar to myeloid tumours, and moreover, the global transcriptional profile of ETP ALL was similar to that of normal and myeloid leukaemia haematopoietic stem cells. These findings suggest that addition of myeloid-directed therapies might improve the poor outcome of ETP ALL.


Nature Methods | 2009

BreakDancer: An algorithm for high resolution mapping of genomic structural variation

Ken Chen; John W. Wallis; Michael D. McLellan; David E. Larson; Joelle Kalicki; Craig S. Pohl; Sean McGrath; Michael C. Wendl; Qunyuan Zhang; Devin P. Locke; Xiaoqi Shi; Robert S. Fulton; Timothy J. Ley; Richard Wilson; Li Ding; Elaine R. Mardis

Detection and characterization of genomic structural variation are important for understanding the landscape of genetic variation in human populations and in complex diseases such as cancer. Recent studies demonstrate the feasibility of detecting structural variation using next-generation, short-insert, paired-end sequencing reads. However, the utility of these reads is not entirely clear, nor are the analysis methods with which accurate detection can be achieved. The algorithm BreakDancer predicts a wide variety of structural variants including insertion-deletions (indels), inversions and translocations. We examined BreakDancers performance in simulation, in comparison with other methods and in analyses of a sample from an individual with acute myeloid leukemia and of samples from the 1,000 Genomes trio individuals. BreakDancer sensitively and accurately detected indels ranging from 10 base pairs to 1 megabase pair that are difficult to detect via a single conventional approach.


Nature | 2012

Whole Genome Analysis Informs Breast Cancer Response to Aromatase Inhibition

Matthew J. Ellis; Li Ding; Dong Shen; Jingqin Luo; Vera J. Suman; John W. Wallis; Brian A. Van Tine; Jeremy Hoog; Reece J. Goiffon; Theodore C. Goldstein; Sam Ng; Li Lin; Robert Crowder; Jacqueline Snider; Karla V. Ballman; Jason D. Weber; Ken Chen; Daniel C. Koboldt; Cyriac Kandoth; William Schierding; Joshua F. McMichael; Christopher A. Miller; Charles Lu; Christopher C. Harris; Michael D. McLellan; Michael C. Wendl; Katherine DeSchryver; D. Craig Allred; Laura Esserman; Gary Unzeitig

To correlate the variable clinical features of oestrogen-receptor-positive breast cancer with somatic alterations, we studied pretreatment tumour biopsies accrued from patients in two studies of neoadjuvant aromatase inhibitor therapy by massively parallel sequencing and analysis. Eighteen significantly mutated genes were identified, including five genes (RUNX1, CBFB, MYH9, MLL3 and SF3B1) previously linked to haematopoietic disorders. Mutant MAP3K1 was associated with luminal A status, low-grade histology and low proliferation rates, whereas mutant TP53 was associated with the opposite pattern. Moreover, mutant GATA3 correlated with suppression of proliferation upon aromatase inhibitor treatment. Pathway analysis demonstrated that mutations in MAP2K4, a MAP3K1 substrate, produced similar perturbations as MAP3K1 loss. Distinct phenotypes in oestrogen-receptor-positive breast cancer are associated with specific patterns of somatic mutations that map into cellular pathways linked to tumour biology, but most recurrent mutations are relatively infrequent. Prospective clinical trials based on these findings will require comprehensive genome sequencing.


Cell | 2012

GENOMIC LANDSCAPE OF NON-SMALL CELL LUNG CANCER IN SMOKERS AND NEVER SMOKERS

Ramaswamy Govindan; Li Ding; Malachi Griffith; Janakiraman Subramanian; Nathan D. Dees; Krishna L. Kanchi; Christopher A. Maher; Robert S. Fulton; Lucinda Fulton; John W. Wallis; Ken Chen; Jason Walker; Sandra A. McDonald; Ron Bose; David M. Ornitz; Dong Hai Xiong; Ming You; David J. Dooling; Mark A. Watson; Elaine R. Mardis; Richard Wilson

We report the results of whole-genome and transcriptome sequencing of tumor and adjacent normal tissue samples from 17 patients with non-small cell lung carcinoma (NSCLC). We identified 3,726 point mutations and more than 90 indels in the coding sequence, with an average mutation frequency more than 10-fold higher in smokers than in never-smokers. Novel alterations in genes involved in chromatin modification and DNA repair pathways were identified, along with DACH1, CFTR, RELN, ABCB5, and HGF. Deep digital sequencing revealed diverse clonality patterns in both never-smokers and smokers. All validated EFGR and KRAS mutations were present in the founder clones, suggesting possible roles in cancer initiation. Analysis revealed 14 fusions, including ROS1 and ALK, as well as novel metabolic enzymes. Cell-cycle and JAK-STAT pathways are significantly altered in lung cancer, along with perturbations in 54 genes that are potentially targetable with currently available drugs.


The New England Journal of Medicine | 2012

Clonal Architecture of Secondary Acute Myeloid Leukemia

Matthew J. Walter; Dong Shen; Li Ding; Jin Shao; Daniel C. Koboldt; Ken Chen; David E. Larson; Michael D. McLellan; David J. Dooling; Rachel Abbott; Robert S. Fulton; Vincent Magrini; Heather K. Schmidt; Joelle Kalicki-Veizer; Michelle O'Laughlin; Xian Fan; Marcus Grillot; Sarah Witowski; Sharon Heath; John L. Frater; William C. Eades; Michael H. Tomasson; Peter Westervelt; John F. DiPersio; Daniel C. Link; Elaine R. Mardis; Timothy J. Ley; Richard Wilson; Timothy A. Graubert

BACKGROUND The myelodysplastic syndromes are a group of hematologic disorders that often evolve into secondary acute myeloid leukemia (AML). The genetic changes that underlie progression from the myelodysplastic syndromes to secondary AML are not well understood. METHODS We performed whole-genome sequencing of seven paired samples of skin and bone marrow in seven subjects with secondary AML to identify somatic mutations specific to secondary AML. We then genotyped a bone marrow sample obtained during the antecedent myelodysplastic-syndrome stage from each subject to determine the presence or absence of the specific somatic mutations. We identified recurrent mutations in coding genes and defined the clonal architecture of each pair of samples from the myelodysplastic-syndrome stage and the secondary-AML stage, using the allele burden of hundreds of mutations. RESULTS Approximately 85% of bone marrow cells were clonal in the myelodysplastic-syndrome and secondary-AML samples, regardless of the myeloblast count. The secondary-AML samples contained mutations in 11 recurrently mutated genes, including 4 genes that have not been previously implicated in the myelodysplastic syndromes or AML. In every case, progression to acute leukemia was defined by the persistence of an antecedent founding clone containing 182 to 660 somatic mutations and the outgrowth or emergence of at least one subclone, harboring dozens to hundreds of new mutations. All founding clones and subclones contained at least one mutation in a coding gene. CONCLUSIONS Nearly all the bone marrow cells in patients with myelodysplastic syndromes and secondary AML are clonally derived. Genetic evolution of secondary AML is a dynamic process shaped by multiple cycles of mutation acquisition and clonal selection. Recurrent gene mutations are found in both founding clones and daughter subclones. (Funded by the National Institutes of Health and others.).

Collaboration


Dive into the Robert S. Fulton's collaboration.

Top Co-Authors

Avatar

Richard Wilson

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

Elaine R. Mardis

Nationwide Children's Hospital

View shared research outputs
Top Co-Authors

Avatar

Christopher A. Miller

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

Timothy J. Ley

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

Li Ding

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

Catrina C. Fronick

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

David E. Larson

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

Matthew J. Walter

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

Daniel C. Koboldt

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

Daniel C. Link

Washington University in St. Louis

View shared research outputs
Researchain Logo
Decentralizing Knowledge