2017
Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors
Adalsteinsson VA, Ha G, Freeman SS, Choudhury AD, Stover DG, Parsons HA, Gydush G, Reed SC, Rotem D, Rhoades J, Loginov D, Livitz D, Rosebrock D, Leshchiner I, Kim J, Stewart C, Rosenberg M, Francis JM, Zhang CZ, Cohen O, Oh C, Ding H, Polak P, Lloyd M, Mahmud S, Helvie K, Merrill MS, Santiago RA, O’Connor E, Jeong SH, Leeson R, Barry RM, Kramkowski JF, Zhang Z, Polacek L, Lohr JG, Schleicher M, Lipscomb E, Saltzman A, Oliver NM, Marini L, Waks AG, Harshman LC, Tolaney SM, Van Allen EM, Winer EP, Lin NU, Nakabayashi M, Taplin ME, Johannessen CM, Garraway LA, Golub TR, Boehm JS, Wagle N, Getz G, Love JC, Meyerson M. Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors. Nature Communications 2017, 8: 1324. PMID: 29109393, PMCID: PMC5673918, DOI: 10.1038/s41467-017-00965-y.Peer-Reviewed Original ResearchConceptsWhole-exome sequencingCell-free DNATumor biopsiesTumor whole-exome sequencingTumor contentHigh concordanceClonal somatic mutationsMetastatic tumorsBreast cancerMetastatic prostateBlood samplesPatientsTumor mutationsCfDNA profilingBiopsyMutational signaturesSomatic mutationsTumorsNumber alterationsConcordanceComprehensive profilingNeoantigensSequencingProstateCancer
2011
GPHMM: an integrated hidden Markov model for identification of copy number alteration and loss of heterozygosity in complex tumor samples using whole genome SNP arrays
Li A, Liu Z, Lezon-Geyda K, Sarkar S, Lannin D, Schulz V, Krop I, Winer E, Harris L, Tuck D. GPHMM: an integrated hidden Markov model for identification of copy number alteration and loss of heterozygosity in complex tumor samples using whole genome SNP arrays. Nucleic Acids Research 2011, 39: 4928-4941. PMID: 21398628, PMCID: PMC3130254, DOI: 10.1093/nar/gkr014.Peer-Reviewed Original Research