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Purpose
Large-scale, population-based biobanks integrating health records and genomic profiles may provide a platform to identify individuals with disease-predisposing genetic variants. Here, we recall probands carrying familial hypercholesterolemia (FH)-associated variants, perform cascade screening of family members, and describe health outcomes affected by such a strategy.
Methods
The Estonian Biobank of Estonian Genome Center, University of Tartu, comprises 52,274 individuals. Among 4776 participants with exome or genome sequences, we identified 27 individuals who carried FH-associated variants in the
LDLR
,
APOB
, or
PCSK9
genes. Cascade screening of 64 family members identified an additional 20 carriers of FH-associated variants.
Results
Via genetic counseling and clinical management of carriers, we were able to reclassify 51% of the study participants from having previously established nonspecific hypercholesterolemia to having FH and identify 32% who were completely unaware of harboring a high-risk disease-associated genetic variant. Imaging-based risk stratification targeted 86% of the variant carriers for statin treatment recommendations.
Conclusion
Genotype-guided recall of probands and subsequent cascade screening for familial hypercholesterolemia is feasible within a population-based biobank and may facilitate more appropriate clinical management.
AMI patients with hyperglycaemia on admission, independent of a history of diabetes, represent a high-risk population for 180-day mortality. The worst outcome occurs in non-diabetic hyperglycaemic patients. Further studies are warranted to clarify the questions of hyperglycaemia treatment in AMI patients.
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