Ko Byung Su, Lee Sung Bae, Kim Tae-Kyung
Department of Brain Sciences, DGIST, Daegu 42988, Republic of Korea.
Department of Life Sciences, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea; Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul 03722, Republic of Korea.
Mol Cells. 2024 Nov;47(11):100139. doi: 10.1016/j.mocell.2024.100139. Epub 2024 Oct 22.
Molecular quantitative trait locus (molQTL) mapping has emerged as an important approach for elucidating the functional consequences of genetic variants and unraveling the causal mechanisms underlying diseases or complex traits. However, the variety of analysis tools and sophisticated methodologies available for molQTL studies can be overwhelming for researchers with limited computational expertise. Here, we provide a brief guideline with a curated list of methods and software tools for analyzing expression quantitative trait loci, the most widely studied type of molQTL.
分子数量性状基因座（molQTL）定位已成为阐明遗传变异的功能后果以及揭示疾病或复杂性状潜在因果机制的重要方法。然而，对于计算专业知识有限的研究人员来说，molQTL研究中可用的各种分析工具和复杂方法可能会令他们应接不暇。在此，我们提供一份简要指南，其中包含用于分析表达数量性状基因座（最广泛研究的molQTL类型）的方法和软件工具的精选列表。
