What question did this study set out to answer?

The research aims to identify genetic differences between CCP+ and CCP- rheumatoid arthritis patients using multi-modal data integration.

February 12, 2026Arthritis & RheumatologyOpen Access

Multi‐modal integration of protein interactomes with genomic and molecular data discovers distinct RA endotypes

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Authors

JRJavad RahimikolluUniversity of Pittsburgh PRPriyamvada Guha RoyUniversity of Pittsburgh AKAkash KishoreUniversity of Pittsburgh

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Implication

Analysis integrates genomic and molecular data to reveal distinct genetic differences in RA endotypes, suggesting implications for targeted treatments.

Key Points

The research aims to identify genetic differences between CCP+ and CCP- rheumatoid arthritis patients using multi-modal data integration.
Analyzed data from 555 CCP+/RF+ and 384 CCP-/RF+ RA patients in the RACER cohort.
Utilized a network-based genome-wide association study to uncover genetic and molecular differences.
Conducted heritability partitioning and multivariate expression analyses to validate gene modules.
Identified significant heritability differences between CCP+ and CCP- RA groups.
Discovered 14 novel gene modules associated with the genetic variations in RA.
Validated 4 gene modules that correlate with distinct clinical features and therapeutic responses.

Cite This Study

Rahimikollu et al. (2026) studied this question.

synapsesocial.com/papers/698d6eeb5be6419ac0d54eb8 https://doi.org/10.1002/art.70091

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Implication

Analysis integrates genomic and molecular data to reveal distinct genetic differences in RA endotypes, suggesting implications for targeted treatments.

Multi‐modal integration of protein interactomes with genomic and molecular data discovers distinct RA endotypes

Discussion

Member takes

Implication

Key Points

Cite This Study

Multi‐modal integration of protein interactomes with genomic and molecular data discovers distinct RA endotypes

Discussion

Member takes

Implication

Key Points

Cite This Study

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