Matched_breast_cancer_fusion_gene_study - EGA European Genome-Phenome Archive

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001000097	Matched breast cancer fusion gene study	Illumina Genome Analyzer II Illumina HiSeq 2000	46
EGAD00001000138	The expression data for this study can be found here: http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1088/and its SNP6 data can be found here:http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1087/	Illumina Genome Analyzer II Illumina HiSeq 2000	58
EGAD00001001335	We propose to definitively characterise the somatic genetics of breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.	Illumina Genome Analyzer II Illumina HiSeq 2000	28
EGAD00001001338	We propose to definitively characterise the somatic genetics of breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.	Illumina Genome Analyzer II Illumina HiSeq 2000	49
EGAD00001002237	The disordered transcriptomes of cancer encompass direct effects of somatic mutation on transcription; co-ordinated secondary alterations in transcriptional pathways; and increased transcriptional noise. To catalogue the rules governing how somatic mutation Overall, 59% of 6980 exonic substitutions were expressed. Compared to other classes, nonsense mutations showed lower expression levels than expected with patterns characteristic of nonsense-mediated decay. 14% of 4234 genomic rearrangements caused transcriptional abnormalities, including exon skips, exon reusage, fusion transcripts and premature poly-adenylation. We found productive, stable transcription from sense-to-antisense gene fusions and gene-to-intergenic rearrangements, suggesting that these mutation classes may drive more transcriptional disruption than previously suspected. Systematic integration of transcriptome with genome data therefore reveals the rules by which transcriptional machinery interprets somatic mutation.	Illumina Genome Analyzer II Illumina HiSeq 2000	59

Publications	Citations
The life history of 21 breast cancers. Nik-Zainal S, Van Loo P, Wedge DC, Alexandrov LB, Greenman CD, Lau KW, Raine K, Jones D, Marshall J, Ramakrishna M, Shlien A, Cooke SL, Hinton J, Menzies A, Stebbings LA, Leroy C, Jia M, Rance R, Mudie LJ, Gamble SJ, Stephens PJ, McLaren S, Tarpey PS, Papaemmanuil E, Davies HR, Varela I, McBride DJ, Bignell GR, Leung K, Butler AP, Teague JW, Martin S, Jönsson G, Mariani O, Boyault S, Miron P, Fatima A, Langerød A, Aparicio SA, Tutt A, Sieuwerts AM, Borg Å, Thomas G, Salomon AV, Richardson AL, Børresen-Dale AL, Futreal PA, Stratton MR, Campbell PJ, Breast Cancer Working Group of the International Cancer Genome Consortium. Cell 149: 2012 994-1007	847
Mutational processes molding the genomes of 21 breast cancers. Nik-Zainal S, Alexandrov LB, Wedge DC, Van Loo P, Greenman CD, Raine K, Jones D, Hinton J, Marshall J, Stebbings LA, Menzies A, Martin S, Leung K, Chen L, Leroy C, Ramakrishna M, Rance R, Lau KW, Mudie LJ, Varela I, McBride DJ, Bignell GR, Cooke SL, Shlien A, Gamble J, Whitmore I, Maddison M, Tarpey PS, Davies HR, Papaemmanuil E, Stephens PJ, McLaren S, Butler AP, Teague JW, Jönsson G, Garber JE, Silver D, Miron P, Fatima A, Boyault S, Langerød A, Tutt A, Martens JW, Aparicio SA, Borg Å, Salomon AV, Thomas G, Børresen-Dale AL, Richardson AL, Neuberger MS, Futreal PA, Campbell PJ, Stratton MR, Breast Cancer Working Group of the International Cancer Genome Consortium. Cell 149: 2012 979-993	1187
THetA: inferring intra-tumor heterogeneity from high-throughput DNA sequencing data. Oesper L, Mahmoody A, Raphael BJ. Genome Biol 14: 2013 R80	120
Towards accurate characterization of clonal heterogeneity based on structural variation. Fan X, Zhou W, Chong Z, Nakhleh L, Chen K. BMC Bioinformatics 15: 2014 299	7
Direct Transcriptional Consequences of Somatic Mutation in Breast Cancer. Shlien A, Raine K, Fuligni F, Arnold R, Nik-Zainal S, Dronov S, Mamanova L, Rosic A, Ju YS, Cooke SL, Ramakrishna M, Papaemmanuil E, Davies HR, Tarpey PS, Van Loo P, Wedge DC, Jones DR, Martin S, Marshall J, Anderson E, Hardy C, ICGC Breast Cancer Working Group, Oslo Breast Cancer Research Consortium, Barbashina V, Aparicio SA, Sauer T, Garred Ø, Vincent-Salomon A, Mariani O, Boyault S, Fatima A, Langerød A, Borg Å, Thomas G, Richardson AL, Børresen-Dale AL, Polyak K, Stratton MR, Campbell PJ. Cell Rep 16: 2016 2032-2046	28
Accurate Identification of Subclones in Tumor Genomes. Ahmadinejad N, Troftgruben S, Wang J, Chandrashekar PB, Dinu V, Maley C, Liu L. Mol Biol Evol 39: 2022 msac136	5
ERα-associated translocations underlie oncogene amplifications in breast cancer. Lee JJ, Jung YL, Cheong TC, Espejo Valle-Inclan J, Chu C, Gulhan DC, Ljungström V, Jin H, Viswanadham VV, Watson EV, Cortés-Ciriano I, Elledge SJ, Chiarle R, Pellman D, Park PJ. Nature 618: 2023 1024-1032	11