%0 Conference Paper %1 conf/psb/ZhangVVBVLHDSJC19 %A Zhang, Xinyuan %A Veturi, Yogasudha %A Verma, Shefali Setia %A Bone, William %A Verma, Anurag %A Lucas, Anastasia %A Hebbring, Scott J. %A Denny, Joshua C. %A Stanaway, Ian B. %A Jarvik, Gail P. %A Crosslin, David R. %A Larson, Eric B. %A Rasmussen-Torvik, Laura %A Pendergrass, Sarah A. %A Smoller, Jordan W. %A Hakonarson, Hakon %A Sleiman, Patrick %A Weng, Chunhua %A Fasel, David %A Wei, Wei-Qi %A Kullo, Iftikhar J. %A Schaid, Daniel J. %A Chung, Wendy K. %A Ritchie, Marylyn D. %B PSB %D 2019 %E Altman, Russ B. %E Dunker, A. Keith %E Hunter, Lawrence %E Ritchie, Marylyn D. %E Klein, Teri E. %K dblp %P 272-283 %T Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. %U http://dblp.uni-trier.de/db/conf/psb/psb2019.html#ZhangVVBVLHDSJC19

@inproceedings{conf/psb/ZhangVVBVLHDSJC19, added-at = {2023-04-06T00:00:00.000+0200}, author = {Zhang, Xinyuan and Veturi, Yogasudha and Verma, Shefali Setia and Bone, William and Verma, Anurag and Lucas, Anastasia and Hebbring, Scott J. and Denny, Joshua C. and Stanaway, Ian B. and Jarvik, Gail P. and Crosslin, David R. and Larson, Eric B. and Rasmussen-Torvik, Laura and Pendergrass, Sarah A. and Smoller, Jordan W. and Hakonarson, Hakon and Sleiman, Patrick and Weng, Chunhua and Fasel, David and Wei, Wei-Qi and Kullo, Iftikhar J. and Schaid, Daniel J. and Chung, Wendy K. and Ritchie, Marylyn D.}, biburl = {https://www.bibsonomy.org/bibtex/2a18b9cbc9e30b65a75f042452a86c2f3/dblp}, booktitle = {PSB}, crossref = {conf/psb/2019}, editor = {Altman, Russ B. and Dunker, A. Keith and Hunter, Lawrence and Ritchie, Marylyn D. and Klein, Teri E.}, ee = {http://psb.stanford.edu/psb-online/proceedings/psb19/zhang_x.pdf}, interhash = {4296ce31d09bc044666c51dd99c3dc45}, intrahash = {a18b9cbc9e30b65a75f042452a86c2f3}, keywords = {dblp}, pages = {272-283}, timestamp = {2024-04-10T19:04:35.000+0200}, title = {Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network.}, url = {http://dblp.uni-trier.de/db/conf/psb/psb2019.html#ZhangVVBVLHDSJC19}, year = 2019 }