rs117378200 - CLEC16A
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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Asthma risk stratification based on genetic finding Moderate
Variant rs117378200 is associated with asthma susceptibility; physician discussion enables personalized prevention strategy
Screening
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Asthma screening and symptom monitoring Moderate
rs117378200 G allele carriers have increased genetic risk for asthma in large genome-wide association study
Annual spirometry or asthma symptom assessment; report new-onset dyspnea, wheezing, or cough