rs113935720 - IL23R
Magnitude 2.2 · 2 studies on file
Reported associations
-
Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program - Unknown journal (n.d.) · Unknown authors · PubMed 39024449
ABSTRACT: INTRODUCTION: Findings from genome-wide association studies (GWASs) have provided foundational knowledge of the genetic basis of disease, facilitating precision approaches for prevention and treatment. Current GWAS results are limited by underrepresentation of individuals from diverse populations, leading to concerns with generalizability regarding our knowledge of the relationships between genes, traits, and disease. The Department of Veterans Affairs (VA) Million Veteran Program (MVP), one of the largest US-based biobanks, addresses this need; 29% of MVP comprises individuals genetically similar to African (AFR), Admixed American (AMR), and East Asian (EAS) reference populations. With over 635,000 participants and more than 44.3M genotyped variants linked with detailed phenotyp
-
Causal relationship and shared genetic loci between psoriasis and type 2 diabetes through trans-disease meta-analysis - Unknown journal (n.d.) · Unknown authors · PubMed 33385400
ABSTRACT: Psoriasis and type 2 diabetes (T2D) are complex conditions with significant impact on health. Psoriasis patients have higher risk of type 2 diabetes (~1.5 Odds Ratio) and vice versa, controlling for body mass index (BMI), yet there has been limited study comparing their genetic architecture. We hypothesized there are shared genetic components between psoriasis and T2D. Trans-disease meta-analysis (TDMA) was applied to 8,016,731 well-imputed genetic markers from large-scale meta-analyses of psoriasis (11,024 cases and 16,336 controls) and T2D adjusted for BMI (74,124 cases and 824,006 controls). We confirmed our findings in a hospital-based study (42,112 patients) and tested for causal relationships with multi-variable Mendelian randomization. Mendelian randomization identified a
Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.