rs114825348 - LINC02082 - LINC01997
Magnitude 2.2 · 1 study on file
Reported associations
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Combining cross-sectional and longitudinal genomic approaches to identify determinants of cognitive and physical decline - Unknown journal (n.d.) · Unknown authors · PubMed 40374629
ABSTRACT: Large-scale genomic studies focusing on the genetic contribution to human aging have mostly relied on cross-sectional data. With the release of longitudinally curated aging phenotypes by the UK Biobank (UKBB), it is now possible to study aging over time at genome-wide scale. In this work, we evaluated the suitability of competing models of change in realistic simulation settings, performed genome-wide association scans on simulation-validated measures of age-related deweekcline, and followed up with LD-score regression and Mendelian Randomization (MR) analyses. Focusing on global cognitive and physical function, we observed marked differences between baseline function (θ) and accelerated decline (Δ). Both outcomes showed distinct heritability levels (e.g., 31.38% versus 3.15%
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.
Discuss with your doctor
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respiratory health screening and monitoring plan Moderate
GWAS finding of reduced FEV warrants medical assessment of respiratory status and individualized monitoring strategy
Lifestyle
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smoking and air pollution exposure Moderate
Reduced baseline FEV increases risk of accelerated lung function decline with respiratory irritant exposure
Screening
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baseline pulmonary function testing Moderate
GWAS association indicates reduced FEV with C risk allele; baseline spirometry establishes individual respiratory status
Obtain spirometry (or re-baseline if >2 years since last test)