Expressive

rs10102662 - HIGD1AP18 - PKIA-AS1

Magnitude 2.2 · 2 studies on file

Reported associations

  • Genetic architecture reconciles linkage and association studies of complex traits. - Nature genetics (2024) · Sidorenko J, Couvy-Duchesne B, Kemper KE, Moen GH, Bhatta L, Åsvold BO, Mägi R, Ani A, Wang R, Nolte IM, Gordon S, Hayward C, Campbell A, Benjamin DJ, Cesarini D, Evans DM, Goddard ME, Haley CS, Porteous D, Medland SE, Martin NG, Snieder H, Metspalu A, Hveem K, Brumpton B, Visscher PM, Yengo L · PubMed 39375568

    Linkage studies have successfully mapped loci underlying monogenic disorders, but mostly failed when applied to common diseases. Conversely, genome-wide association studies (GWASs) have identified replicable associations between thousands of SNPs and complex traits, yet capture less than half of the total heritability. In the present study we reconcile these two approaches by showing that linkage signals of height and body mass index (BMI) from 119,000 sibling pairs colocalize with GWAS-identified loci. Concordant with polygenicity, we observed the following: a genome-wide inflation of linkage test statistics; that GWAS results predict linkage signals; and that adjusting phenotypes for polygenic scores reduces linkage signals. Finally, we developed a method using recombination rate-stratif

  • 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

Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.

Lifestyle context

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

Bloodwork

  • metabolic panel and glucose metabolism screening High

    BMI-associated genetic variants often correlate with metabolic disturbances; screening detects early dysfunction

    Annual fasting glucose and lipid panel; HbA1c if diabetes family history present

Diet

  • whole-food nutrient-dense dietary pattern High

    Energy balance through dietary composition is a primary modifiable factor for BMI management in those with genetic predisposition

    Emphasize vegetables, whole grains, lean proteins; minimize processed and energy-dense foods

Discuss with your doctor

  • genetic risk for weight gain and personalized management High

    Proactive discussion of genetic risk enables shared decision-making and collaborative development of targeted lifestyle intervention strategy

    Review genetic findings at routine visit and establish weight management targets

Exercise

  • structured aerobic and resistance training program High

    Genetic predisposition to weight gain can be substantially offset through regular exercise improving energy expenditure and metabolic function

    150 minutes moderate-intensity aerobic activity plus 2x weekly resistance training

Screening

  • body mass index and weight changes High

    This variant is associated with increased BMI; regular monitoring enables early detection of weight changes for proactive intervention

    Check BMI annually; monthly self-monitoring if weight changes noted