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Quantia lp a

Manufactured by Abbott

The Quantia Lp(a) is a lab equipment product designed for the quantitative determination of lipoprotein(a) [Lp(a)] levels in human serum or plasma. It provides a standardized and accurate method for measuring Lp(a) concentrations.

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2 protocols using quantia lp a

1

Lp(a) Measurement Across Cohorts

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Serum Lp(a)-C was measured in both EST and JHS via density gradient ultracentrifugation (Vertical Auto Profile [VAP], Atherotech).
Lp(a) was measured in JHS using a Diasorin nephelometric assay on a Roche Cobas FARA analyzer (Roche Diagnostics Corporation, Indianapolis, IN, USA), which measures Lp(a) mass by immunoprecipitin analysis using the SPQTM Antibody Reagent System of DiaSorin (DiaSorin Inc., Stillwater, MN 55082-0285). Turbidity produced by the antigen–antibody complexes was measured using the Roche Modular P Chemistry Analyzer. In FIN, Lp(a) was measured from serum stored at –70 °C using a commercially available latex immunoassay on an Architect c8000 system (Quantia Lp(a), Abbott Diagnostics).
Lp(a)-C and Lp(a) were inverse-rank normalized separately by cohort for analysis.
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2

Genetic Determinants of Lipoprotein(a) Levels

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Lp(a) was measured in YFS from serum stored at –70 °C by the
immunoturbidimetric method (Lp(a)-HA reagent, Wako Chemicals GmbH). Lp(a) was
measured in FINRISK97 from serum stored at –70 °C using a
commercially available latex immunoassay on an Architect c8000 system (Quantia
Lp(a), Abbott Diagnostics). The imputed genotype batches PredictCVD, COROGENE
and FR97 were combined to generate as complete a genotyped sample as possible
for the genetic analyses (FINRISK97). We then performed a GWAS for natural
logarithm transformed Lp(a) in FINRISK97 using sex, age and ten genetic
principal components as covariates in linear models. Variants associated with
Lp(a) at genome-wide significance were iteratively added to the association
model for identification of independent variants. SNPs with info >0.7 and
minor allele frequency >0.5% were considered. All 18 independent
variants identified in FINRISK97 were replicated in the independent YFS cohort
(Supplementary Data 1).
We used weighted effect estimates from FINRISK97 to generate a gene score for
Lp(a) and tested the proportion of variance explained in the FINRISK97 discovery
and YFS replication cohorts. We also tested the association between the Lp(a)
gene score and metabolites using linear regression adjusted for the same
covariates as for the GWAS.
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