rs11000930 - ADK
Magnitude 2.2 · 1 study on file
Reported associations
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Participation bias in the UK Biobank distorts genetic associations and downstream analyses - Unknown journal (n.d.) · Unknown authors · PubMed 37106081
ABSTRACT: While volunteer-based studies such as the UK Biobank have become the cornerstone of genetic epidemiology, the participating individuals are rarely representative of their target population. To evaluate the impact of selective participation, here we derived UK Biobank participation probabilities on the basis of 14 variables harmonized across the UK Biobank and a representative sample. We then conducted weighted genome-wide association analyses on 19 traits. Comparing the output from weighted genome-wide association analyses (neffective = 94,643 to 102,215) with that from standard genome-wide association analyses (n = 263,464 to 283,749), we found that increasing representativeness led to changes in SNP effect sizes and identified novel SNP associations for 12 traits. While
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Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Discuss with your doctor
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Discuss genetic predisposition to higher BMI Moderate
Genome-wide significant BMI association identifies carriers at increased genetic risk requiring tailored clinical approach
Discuss genetic predisposition and weight management strategies with healthcare provider
Exercise
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Regular aerobic and resistance physical activity Moderate
Physical activity is evidence-based for weight management and can help mitigate genetic risk for increased BMI
Aim for 150 minutes moderate-intensity aerobic activity plus 2 sessions resistance training weekly
Screening
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Weight and BMI monitoring program Moderate
Genetic variant rs11000930 associates with increased BMI risk through effects on adenosine metabolism
Baseline BMI assessment with annual follow-up weight and BMI measurements