Genetic variants affecting RNA stability influence complex traits and disease risk
Descripción general
Resumen del artículo
This supplementary information provides details on the methods and analyses used in the main study regarding genetic variants influencing RNA stability. It covers SNV processing, gene classification modeling, model fitting, quantifying gene expression and half-life estimation, alternative splicing analysis, data simulation, and cell line exclusions.
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Small changes in our genes can affect how stable our RNA is. This can change how our bodies work and our risk of getting sick.
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Explicación de la calificación
This supplementary information provides valuable details on the methodology, allowing for greater transparency and reproducibility of the main study. It's a solid piece of supplementary material, enhancing the main paper.
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