Yuya Kobayashi - Publications

Affiliations: 
2008-2012 Genetics Stanford University, Palo Alto, CA 

13 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2017 Yang S, Lincoln SE, Kobayashi Y, Nykamp K, Nussbaum RL, Topper S. Sources of discordance among germ-line variant classifications in ClinVar. Genetics in Medicine : Official Journal of the American College of Medical Genetics. PMID 28569743 DOI: 10.1038/Gim.2017.60  0.373
2017 Nykamp K, Anderson M, Powers M, Garcia J, Herrera B, Ho YY, Kobayashi Y, Patil N, Thusberg J, Westbrook M, Topper S. Sherloc: a comprehensive refinement of the ACMG-AMP variant classification criteria. Genetics in Medicine : Official Journal of the American College of Medical Genetics. PMID 28492532 DOI: 10.1038/Gim.2017.37  0.32
2017 Kobayashi Y, Yang S, Nykamp K, Garcia J, Lincoln SE, Topper SE. Pathogenic variant burden in the ExAC database: an empirical approach to evaluating population data for clinical variant interpretation. Genome Medicine. 9: 13. PMID 28166811 DOI: 10.1186/S13073-017-0403-7  0.336
2016 Lincoln SE, Cline M, Yang S, Kobayashi Y, Zhang M, O'Leary E, Topper S, Paten B, Nussbaum R. Variant classifications in BRCA1 and BRCA2: A systematic analysis of interlaboratory concordance Journal of Clinical Oncology. 34: 1592-1592. DOI: 10.1200/Jco.2016.34.15_Suppl.1592  0.354
2016 Lincoln S, Nykamp K, Kobayashi Y, Yang S, Powers M, Anderson M, Monzon F, Topper S. Abstract P2-09-11: Consistency of pathogenicity determinations for hereditary cancer gene mutations Cancer Research. 76. DOI: 10.1158/1538-7445.Sabcs15-P2-09-11  0.432
2015 Desmond A, Kurian AW, Gabree M, Mills MA, Anderson MJ, Kobayashi Y, Horick N, Yang S, Shannon KM, Tung N, Ford JM, Lincoln SE, Ellisen LW. Clinical Actionability of Multigene Panel Testing for Hereditary Breast and Ovarian Cancer Risk Assessment. Jama Oncology. PMID 26270727 DOI: 10.1001/Jamaoncol.2015.2690  0.387
2015 Lincoln SE, Kobayashi Y, Anderson MJ, Yang S, Desmond AJ, Mills MA, Nilsen GB, Jacobs KB, Monzon FA, Kurian AW, Ford JM, Ellisen LW. A Systematic Comparison of Traditional and Multigene Panel Testing for Hereditary Breast and Ovarian Cancer Genes in More Than 1000 Patients. The Journal of Molecular Diagnostics : Jmd. 17: 533-44. PMID 26207792 DOI: 10.1016/J.Jmoldx.2015.04.009  0.411
2015 Ellisen L, Kurian A, Lincoln S, Desmond A, Mills M, Shannon K, Gabree M, Anderson M, Kobayashi Y, Monzon F, Ford J. Abstract P4-12-04: Clinical evaluation of multigene testing for hereditary breast and ovarian cancer Cancer Research. 75. DOI: 10.1158/1538-7445.Sabcs14-P4-12-04  0.387
2015 Ellisen LW, Lincoln SE, Kurian AW, Desmond AJ, Yang S, Mills MA, Kobayashi Y, Monzon FA, Ford JM. MG-114 Clinical actionability of multi-gene panel tests for hereditary breast and ovarian cancer (HBOC) Journal of Medical Genetics. 52: A6.1-A6. DOI: 10.1136/Jmedgenet-2015-103578.14  0.366
2014 Kurian AW, Hare EE, Mills MA, Kingham KE, McPherson L, Whittemore AS, McGuire V, Ladabaum U, Kobayashi Y, Lincoln SE, Cargill M, Ford JM. Clinical evaluation of a multiple-gene sequencing panel for hereditary cancer risk assessment. Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology. 32: 2001-9. PMID 24733792 DOI: 10.1200/Jco.2013.53.6607  0.37
2012 Truong M, Yang B, Wagner J, Kobayashi Y, Rajamanickam V, Brooks J, Jarrard DF. Even-skipped homeobox 1 is frequently hypermethylated in prostate cancer and predicts PSA recurrence. British Journal of Cancer. 107: 100-7. PMID 22596233 DOI: 10.1038/Bjc.2012.216  0.387
2012 Truong M, Yang B, Kobayashi Y, Brooks J, Jarrard D. 1315 Even-Skipped Homeobox 1 (Evx1) Is Frequently Hypermethylated In Prostate Cancer And Predicts Psa Recurrence The Journal of Urology. 187. DOI: 10.1016/J.Juro.2012.02.1662  0.321
2011 Kobayashi Y, Absher DM, Gulzar ZG, Young SR, McKenney JK, Peehl DM, Brooks JD, Myers RM, Sherlock G. DNA methylation profiling reveals novel biomarkers and important roles for DNA methyltransferases in prostate cancer. Genome Research. 21: 1017-27. PMID 21521786 DOI: 10.1101/Gr.119487.110  0.466
Show low-probability matches.