Expressive

rs12066959 - CFHR2

Magnitude 2.0 · 2 studies on file

Reported associations

  • Genome‐Wide Assessment of Shared Genetic Architecture Between Rheumatoid Arthritis and Cardiovascular Diseases - Unknown journal (n.d.) · Unknown authors · PubMed 37947095

    ABSTRACT: Background Patients with rheumatoid arthritis (RA) have a 2‐ to 10‐fold increased risk of cardiovascular disease (CVD), but the biological mechanisms and existence of causality underlying such associations remain to be investigated. We aimed to investigate the genetic associations and underlying mechanisms between RA and CVD by leveraging large‐scale genomic data and genetic cross‐trait analytic approaches. Methods and Results Within UK Biobank data, we examined the genetic correlation, shared genetics, and potential causality between RA (Ncases=6754, Ncontrols=452 384) and cardiovascular diseases (CVD, Ncases=44 238, Ncontrols=414 900) using linkage disequilibrium score regression, cross‐trait meta‐analysis, and Mendelian randomization. We observed significant

  • Deciphering tissue-specific protein regulation for insights into cardiometabolic disease - Unknown journal (n.d.) · Unknown authors · PubMed 41456820

    ABSTRACT: Understanding tissue-specific mechanisms of protein regulation gives crucial insights into cardiometabolic disease and informs drug discovery. Most proteomic studies have primarily concentrated on plasma, overlooking tissue-specific effects. Utilizing Olink technology, we assessed relative protein levels across plasma and tissue (aortic wall, mammary artery, liver, and skeletal muscle) from the STARNET cohort: 284 individuals with a high prevalence of coronary artery disease (CAD). We identified 608 cis protein quantitative trait loci (pQTLs), primarily in plasma, reflecting greater protein variability. Of 190 proteins with cis-pQTLs in non-plasma tissues, 50% also had plasma pQTLs, validating Olink technology in these tissues while reinforcing the relevance of plasma data for un

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