Iuliana Ionita-Laza

Computationally efficient whole-genome quantile regression at biobank scale

Fan Wang, Chen Wang, Tianying Wang, Marco Masala, Edoardo Fiorillo, et al.
(2025) Proceedings of the National Academy of Sciences of the United States of America, 122
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Quantile-specific confounding : correction for subtle population stratification via quantile regression

Chen Wang, Marco Masala, Edoardo Fiorillo, Marcella Devoto, Francesco Cucca, et al.
(2025) Genetics, 231
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A UNIFIED QUANTILE FRAMEWORK FOR NONLINEAR HETEROGENEOUS TRANSCRIPTOME-WIDE ASSOCIATIONS

Tianying Wang, Iuliana Ionita-Laza, Ying Wei
(2025) Annals of Applied Statistics, 19 p.967-985
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Fine-mapping in admixed populations using CARMA-X, with applications to Latin American studies

Zikun Yang, Chen Wang, Yuridia Selene Posadas-Garcia, Valeria Añorve-Garibay, Badri Vardarajan, et al.
(2025) American Journal of Human Genetics, 112 p.1215-1232
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Psychiatric genetics in the diverse landscape of Latin American populations

E.M. Bruxel, I. Ionita-Laza, J.L. Montalvo-Ortiz
(2025) Nature Genetics, 57 p.1074-1088
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Local genetic correlation via knockoffs reduces confounding due to cross-trait assortative mating

Shiyang Ma, Fan Wang, Richard Border, Joseph Buxbaum, Noah Zaitlen, et al.
(2024) American Journal of Human Genetics, 111 p.2839-2848
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Genome-wide discovery for biomarkers using quantile regression at biobank scale

Chen Wang, Tianying Wang, Krzysztof Kiryluk, Ying Wei, Hugues Aschard, et al.
(2024) Nature Communications, 15
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KnockoffHybrid : A knockoff framework for hybrid analysis of trio and population designs in genome-wide association studies

Yi Yang, Qi Wang, Chen Wang, Joseph Buxbaum, Iuliana Ionita-Laza
(2024) American Journal of Human Genetics, 111 p.1448-1461
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