Details

Autor(en) / Beteiligte

• Vukadinovic, Milos
• Renjith, Gauri
• Yuan, Victoria
• Kwan, Alan
• Cheng, Susan C
• Li, Debiao
• Clarke, Shoa L
• Ouyang, David

Titel

Impact of Measurement Noise on Genetic Association Studies of Cardiac Function

Ist Teil von

• Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2024, Vol.29, p.134

Ort / Verlag

United States

Erscheinungsjahr

2024

Quelle

MEDLINE

Beschreibungen/Notizen

• Recent research has effectively used quantitative traits from imaging to boost the capabilities of genome-wide association studies (GWAS), providing further understanding of disease biology and various traits. However, it's important to note that phenotyping inherently carries measurement error and noise that could influence subsequent genetic analyses. The study focused on left ventricular ejection fraction (LVEF), a vital yet potentially inaccurate quantitative measurement, to investigate how imprecision in phenotype measurement affects genetic studies. Several methods of acquiring LVEF, along with simulating measurement noise, were assessed for their effects on ensuing genetic analyses. The results showed that by introducing just 7.9% of measurement noise, all genetic associations in an LVEF GWAS with almost forty thousand individuals could be eliminated. Moreover, a 1% increase in mean absolute error (MAE) in LVEF had an effect equivalent to a 10% reduction in the sample size of the cohort on the power of GWAS. Therefore, enhancing the accuracy of phenotyping is crucial to maximize the effectiveness of genome-wide association studies.