A multi-scale cell-type resolved map of trans-regulatory architecture in the aging human brain

Mapping genetic effects on distal genes and regulatory programs is essential for understanding how genetic variation influences complex diseases; yet trans-QTL discovery remains limited by weak effect sizes, extensive multiple testing and poor reproducibility. Here, we introduce TransMap, a generalizable computational framework that combines multi-scale trans-QTL mapping with multi-phenotype genetic colocalization to improve the discovery and interpretation of distal regulatory variants. Beyond individual trans-eGenes, TransMap constructs local co-regulatory program phenotypes that account for

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