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GBAT: a gene-based association test for robust detection of trans-gene regulation

Xuanyao Liu; Joel A Mefford; Andrew Dahl; Yuan He; Meena Subramaniam; Alexis Battle; Alkes L Price; Noah Zaitlen

The identification of high-quality distal associations (trans-eQTLs) has been limited by a heavy multiple testing burden and the proneness to false positive signals. To address these issues, we develop GBAT, a powerful gene-based pipeline that allows robust detection of high-quality trans gene regulation signal.

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