Center-Authored Papers

Filters: Author is Teerlink, Craig C  [Clear All Filters]
Journal Article
Teerlink CC, Thibodeau SN, McDonnell SK, Schaid DJ, Rinckleb A, Maier C, Vogel W, Cancel-Tassin G, Egrot C, Cussenot O et al..  2014.  Association analysis of 9,560 prostate cancer cases from the International Consortium of Prostate Cancer Genetics confirms the role of reported prostate cancer associated SNPs for familial disease.. Human genetics. 133(3):347-56. Abstract
Teerlink CC, Leongamornlert D, Dadaev T, Thomas A, Farnham J, Stephenson RA, Riska S, McDonnell SK, Schaid DJ, Catalona WJ et al..  2016.  Genome-wide association of familial prostate cancer cases identifies evidence for a rare segregating haplotype at 8q24.21.. Human genetics. Abstract
Kar SP, Beesley J, Al Olama AA, Michailidou K, Tyrer J, Kote-Jarai Z, Lawrenson K, Lindstrom S, Ramus SJ, Thompson DJ et al..  2016.  Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types.. Cancer discovery. 6(9):1052-1067. Abstract
Xu J, Lange EM, Lu L, Zheng SL, Wang Z, Thibodeau SN, Cannon-Albright LA, Teerlink CC, Camp NJ, Johnson AM et al..  2013.  HOXB13 is a susceptibility gene for prostate cancer: results from the International Consortium for Prostate Cancer Genetics (ICPCG).. Human genetics. 132(1):5-14. Abstract
Ioannidis NM, Rothstein JH, Pejaver V, Middha S, McDonnell SK, Baheti S, Musolf A, Li Q, Holzinger E, Karyadi D et al..  2016.  REVEL: an Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants.. American journal of human genetics. 99(4):877-885. Abstract
Jin G, Lu L, Cooney KA, Ray AM, Zuhlke KA, Lange EM, Cannon-Albright LA, Camp NJ, Teerlink CC, Fitzgerald LM et al..  2012.  Validation of prostate cancer risk-related loci identified from genome-wide association studies using family-based association analysis: evidence from the International Consortium for Prostate Cancer Genetics (ICPCG).. Human genetics. 131(7):1095-1103. Abstract