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Trans-ethnic meta-regression of genome-wide association studies accounting for ancestry increases power for discovery and improves fine-mapping resolution.

Mägi, Reedik, Momoko Horikoshi, Tamar Sofer, Anubha Mahajan, Hidetoshi Kitajima, Nora Franceschini, Mark I McCarthy, T2D-GENES Consortium COGENT-Kidney Consortium, and Andrew P Morris. 2017. “Trans-Ethnic Meta-Regression of Genome-Wide Association Studies Accounting for Ancestry Increases Power for Discovery and Improves Fine-Mapping Resolution.”. Human Molecular Genetics 26 (18): 3639-50.

Genome-Wide Association Study of Heavy Smoking and Daily/Nondaily Smoking in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

Saccone, Nancy L, Leslie S Emery, Tamar Sofer, Stephanie M Gogarten, Diane M Becker, Erwin P Bottinger, Li-Shiun Chen, et al. 2018. “Genome-Wide Association Study of Heavy Smoking and Daily/Nondaily Smoking in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).”. Nicotine & Tobacco Research : Official Journal of the Society for Research on Nicotine and Tobacco 20 (4): 448-57.

A parametric bootstrap approach for computing confidence intervals for genetic correlations with application to genetically-determined protein-protein networks.

Tsai, Yi-Ting, Yana Hrytsenko, Michael Elgart, Usman Tahir, Zsu-Zsu Chen, James G Wilson, Robert Gerszten, and Tamar Sofer. 2023. “A Parametric Bootstrap Approach for Computing Confidence Intervals for Genetic Correlations With Application to Genetically-Determined Protein-Protein Networks.”. MedRxiv : The Preprint Server for Health Sciences.