rs11162351 - AK5

Magnitude 2.2 · 4 studies on file

Reported associations

  • Genetic Association of Albuminuria with Cardiometabolic Disease and Blood Pressure. - American journal of human genetics (2019) · Haas ME, Aragam KG, Emdin CA, Bick AG, Hemani G, Davey Smith G, Kathiresan S · PubMed 30220432

    Excretion of albumin in urine, or albuminuria, is associated with the development of multiple cardiovascular and metabolic diseases. However, whether pathways leading to albuminuria are causal for cardiometabolic diseases is unclear. We addressed this question using a Mendelian randomization framework in the UK Biobank, a large population-based cohort. We first performed a genome-wide association study for albuminuria in 382,500 individuals and identified 32 new albuminuria loci. We constructed albuminuria genetic risk scores and tested for association with cardiometabolic diseases. Genetically elevated albuminuria was strongly associated with increased risk of hypertension (1.38 OR; 95% CI, 1.27-1.50 per 1 SD predicted increase in albuminuria, p = 7.01 × 10 ). We then examined bidire

  • A genome-wide association study implicates multiple mechanisms influencing raised urinary albumin-creatinine ratio - Unknown journal (n.d.) · Unknown authors · PubMed 31630189

    ABSTRACT: Abstract Raised albumin-creatinine ratio (ACR) is an indicator of microvascular damage and renal disease. We aimed to identify genetic variants associated with raised ACR and study the implications of carrying multiple ACR-raising alleles with metabolic and vascular-related disease. We performed a genome-wide association study of ACR using 437 027 individuals from the UK Biobank in the discovery phase, 54 527 more than previous studies, and followed up our findings in independent studies. We identified 62 independent associations with ACR across 56 loci (P < 5 × 10-8), of which 20 were not previously reported. Pathway analyses and the identification of 20 of the 62 variants (at r2 > 0.8) coinciding with signals for at least 16 related metabolic and vascular t

  • Multivariate genomic analysis of 5 million people elucidates the genetic architecture of shared components of the metabolic syndrome - Unknown journal (n.d.) · Unknown authors · PubMed 39349817

    ABSTRACT: Metabolic syndrome (MetS) is a complex hereditary condition comprising various metabolic traits as risk factors. Although the genetics of individual MetS components have been investigated actively through large-scale genome-wide association studies, the conjoint genetic architecture has not been fully elucidated. Here, we performed the largest multivariate genome-wide association study of MetS in Europe (nobserved = 4,947,860) by leveraging genetic correlation between MetS components. We identified 1,307 genetic loci associated with MetS that were enriched primarily in brain tissues. Using transcriptomic data, we identified 11 genes associated strongly with MetS. Our phenome-wide association and Mendelian randomization analyses highlighted associations of MetS with diverse di

  • Genomics and phenomics of body mass index reveals a complex disease network - Unknown journal (n.d.) · Unknown authors · PubMed 36581621

    ABSTRACT: Elevated body mass index (BMI) is heritable and associated with many health conditions that impact morbidity and mortality. The study of the genetic association of BMI across a broad range of common disease conditions offers the opportunity to extend current knowledge regarding the breadth and depth of adiposity-related diseases. We identify 906 (364 novel) and 41 (6 novel) genome-wide significant loci for BMI among participants of European (N~1.1 million) and African (N~100,000) ancestry, respectively. Using a BMI genetic risk score including 2446 variants, 316 diagnoses are associated in the Million Veteran Program, with 96.5% showing increased risk. A co-morbidity network analysis reveals seven disease communities containing multiple interconnected diseases associated with BMI


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Lifestyle context

Concrete actions anchored to the cited research. We do not prescribe, we describe.

Lifestyle

  • weight management Moderate

    rs11162351-G allele increases BMI (p=3e-25, n=1.1M participants); weight control may mitigate metabolic risk

    Maintain BMI 18.5-24.9; aim for 150 min/week moderate activity

Screening

  • metabolic syndrome Moderate

    rs11162351-G allele is associated with metabolic syndrome risk (p=4e-13, n=1.4M participants)

    Annual metabolic panel; assess for metabolic syndrome criteria