ArticlebioRxiv : the preprint server for biology2026
Simplifying Systems Genetics with QTLretrievR: An R Package for Molecular QTL Identification.
Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
Motivation: Over the past two decades, integrating "-omics" scale molecular profiling with genetic mapping in diverse populations-termed "systems genetics"-has proven powerful for linking complex disease phenotypes to genetic variants and their regulatory effects. However, these combined genomic and genetic analyses remain computationally intensive and often inaccessible to researchers without a strong computational background, a problem compounded in studies with multiple tissues or thousands of molecular -omics phenotypes. Results: We developed QTLretrievR, an R package designed to simplify and streamline the identification and downstream analysis of molecular quantitative trait loci in genetically diverse populations. QTLretrievR builds on widely used R packages such as Availability: Source code is available at https://github.com/deweyhannah/QTLretrievR. Contact: Steven Munger, steven.munger@jax.org.
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