@article{TEXTUAL,
      recid = {14443},
      author = {Akinbiyi, Takintayo and McPeek, Mary Sara and Abney, Mark},
      title = {ADELLE: A global testing method for trans-eQTL mapping},
      journal = {PLOS Genetics},
      address = {2025-01-10},
      number = {TEXTUAL},
      abstract = {Understanding the genetic regulatory mechanisms of gene  expression is an ongoing challenge. Genetic variants that  are associated with expression levels are readily  identified when they are proximal to the gene (i.e.,  cis-eQTLs), but SNPs distant from the gene whose expression  levels they are associated with (i.e., trans-eQTLs) have  been much more difficult to discover, even though they  account for a majority of the heritability in gene  expression levels. A major impediment to the identification  of more trans-eQTLs is the lack of statistical methods that  are powerful enough to overcome the obstacles of small  effect sizes and large multiple testing burden of  trans-eQTL mapping. Here, we propose ADELLE, a powerful  statistical testing framework that requires only summary  statistics and is designed to be most sensitive to SNPs  that are associated with multiple gene expression levels, a  characteristic of many trans-eQTLs. In simulations, we show  that for detecting SNPs that are associated with 0.1%–2% of  10,000 traits, among the 8 methods we consider ADELLE is  clearly the most powerful overall, with either the highest  power or power not significantly different from the highest  for all settings in that range. We apply ADELLE to a mouse  advanced intercross line data set and show its ability to  find trans-eQTLs that were not significant under a standard  analysis. We also apply ADELLE to trans-eQTL mapping in the  eQTLGen data, and for 1,451 previously identified  trans-eQTLs, we discover trans association with additional  expression traits beyond those previously identified. This  demonstrates that ADELLE is a powerful tool at uncovering  trans regulators of genetic expression.},
      url = {http://knowledge.uchicago.edu/record/14443},
}