rs10905361 - LINC00708 - KRT8P37
Magnitude 2.2 · 1 study on file
Reported associations
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Discerning asthma endotypes through comorbidity mapping - Unknown journal (n.d.) · Unknown authors · PubMed 36344522
ABSTRACT: Asthma is a heterogeneous, complex syndrome, and identifying asthma endotypes has been challenging. We hypothesize that distinct endotypes of asthma arise in disparate genetic variation and life-time environmental exposure backgrounds, and that disease comorbidity patterns serve as a surrogate for such genetic and exposure variations. Here, we computationally discover 22 distinct comorbid disease patterns among individuals with asthma (asthma comorbidity subgroups) using diagnosis records for >151 M US residents, and re-identify 11 of the 22 subgroups in the much smaller UK Biobank. GWASs to discern asthma risk loci for individuals within each subgroup and in all subgroups combined reveal 109 independent risk loci, of which 52 are replicated in multi-ancestry meta-analysis acro
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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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genetic risk factor for asthma Moderate
Carriers of the T allele have increased asthma susceptibility; physician can assess individual risk and family context
Raise carrier status during routine visit
Screening
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baseline asthma assessment Moderate
Genetic variant rs10905361 associated with 1.041-fold increased asthma risk; early detection improves outcomes
Discuss spirometry or symptom questionnaire screening with physician