GBAT: a gene-based association method for robust trans-gene regulation detection
Xuanyao LiuiD, Joel MeffordiD, Andrew DahliD, Yuan HeiD, Meena SubramaniamiD, Alexis J. BattleiD, Alkes L. PriceiD, Noah ZaitleniD
Abstract
Identification of trans-eQTLs has been limited by a heavy multiple testing burden, read-mapping biases, and hidden confounders. To address these issues, we developed GBAT, a powerful gene-based method that allows robust detection of trans gene regulation. Using simulated and real data, we show that GBAT drastically increases detection of trans-gene regulation over standard trans-eQTL analyses.
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