Objects
Bulik-Sullivan, Brendan K., Albus, M, Alexander, M, Amin, F, Bacanu, SA, Begemann, M, Belliveau, RA, Bene, J, Bergen, SE, Bruggeman, R, Bevilacqua, E, Bigdeli, TB, Black, DW, Buccola, NG, Buckner, RL, Byerley, W, Cahn, W, Cai, G, Cairns, MJ, Campion, D, Cantor, RM, Carr, VJ, Carrera, N, Catts, SV, Chambert, KD, Chan, RCK, Chen, RYL, Cohen, D, Chen, EYH, Cheng, W, Cheung, EFC, Chong, SA, Cloninger, CR, Cohen, N, Cormican, P, Craddock, N, Crespo-Facorro, B, Crowley, JJ, Curtis, D, Davidson, M, Davis, KL, Degenhardt, F, Del Favero, J, Loh, Po-Ru, Michie, Patricia T., Schall, Ulrich, Scott, Rodney J., Tooney, Paul A., Wu, Jing Qin, Patterson, Nick, Daly, Mark J., Price, Alkes L., Neale, Benjamin M., Finucane, Hilary K., Ripke, Stephan, Yang, Jian, Schizophrenia Working Group of the Psychiatric Genomics Consortium,, Cairns, Murray J., Henskens, Frans A., Kelly, Brian J., Loughland, Carmel M.. Nature Publishing Group; 2015. LD score regression distinguishes confounding from polygenicity in genome-wide association studies.
Finucane, Hilary K., Bulik-Sullivan, Brendan, Ripke, Stephan, Day, Felix R., ReproGen Consortium,, Schizophrenia Working Group of the Psychiatric Genomics Consortium,, The RACI Consortium,, Purcell, Shaun, Stahl, Eli, Lindstrom, Sara, Perry, John R. B., Okada, Yukinori, Gusev, Alexander, Raychaudhuri, Soumya, Daly, Mark J., Patterson, Nick, Neale, Benjamin M., Price, Alkes L., Henskens, Frans A., Loughland, Carmel M., Michie, Patricia T., Schall, Ulrich, Scott, Rodney J., Trynka, Gosia, Tooney, Paul A., Wu, Jing Qin, Reshef, Yakir, Loh, Po-Ru, Anttila, Verneri, Xu, Han, Zang, Chongzhi, Farh, Kyle. Nature Publishing; 2015. Partitioning heritability by functional annotation using genome-wide association summary statistics.
Vilhjálmsson, Bjarni J., Yang, Jian, Hayeck, Tristan, Won, Hong-Hee, Schizophrenia Working Group of the Psychiatric Genomics Consortium,, Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study,, Finucane, Hilary K., Gusev, Alexander, Lindström, Sara, Ripke, Stephan, Genovese, Giulio, Loh, Po-Ru, Bhatia, Gaurav, Do, Ron. Cell Press; 2015. Modeling linkage disequilibrium increases accuracy of polygenic risk scores.