Multi-INTACT: integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits
Abstract We present multi-integration of transcriptome-wide association studies and colocalization (Multi-INTACT), an algorithm that models multiple “gene products” (e.g., encoded RNA transcript and protein levels) to implicate causal genes and relevant gene products. In simulations, Multi-INTACT ac...
Saved in:
Main Authors: | Jeffrey Okamoto, Xianyong Yin, Brady Ryan, Joshua Chiou, Francesca Luca, Roger Pique-Regi, Hae Kyung Im, Jean Morrison, Charles Burant, Eric B. Fauman, Markku Laakso, Michael Boehnke, Xiaoquan Wen |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2025-02-01
|
Series: | Genome Biology |
Online Access: | https://doi.org/10.1186/s13059-025-03480-2 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Proteome-wide mendelian randomization identifies causal plasma proteins in interstitial lung disease
by: Kunrong Yu, et al.
Published: (2025-01-01) -
Exploring the Mechanisms of Iron Overload-Induced Liver Injury in Rats Based on Transcriptomics and Proteomics
by: Yujia Shu, et al.
Published: (2025-01-01) -
Investigating causal relationships between plasma proteins and lung adenocarcinoma: result from proteomics and Mendelian randomization study
by: Ruoya Lv, et al.
Published: (2025-01-01) -
Comprehensive transcriptome and proteome analysis revealed the molecular mechanisms of melatonin priming and waterlogging response in peach
by: Xianbin Gu, et al.
Published: (2025-02-01) -
Transcriptomic and proteomic profiling identifies feline fibrosarcoma as clinically amenable model for aggressive sarcoma subtypes
by: Mikiyo Weber, et al.
Published: (2025-02-01)