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Prospective functional classification of all possible missense variants in PPARG
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Prospective functional classification of all possible missense variants in PPARG
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Prospective functional classification of all possible missense variants in PPARG
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Prospective functional classification of all possible missense variants in PPARG
Prospective functional classification of all possible missense variants in PPARG
Journal Article

Prospective functional classification of all possible missense variants in PPARG

2016
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Overview
Amit Majithia and colleagues employ a pooled assay in human macrophages to assess the functional effects of all possible missense variants in PPARG . Their study shows the value of saturation mutagenesis and prospective experimental characterization to support diagnostic interpretation of newly discovered missense variants in disease-related genes. Clinical exome sequencing routinely identifies missense variants in disease-related genes, but functional characterization is rarely undertaken, leading to diagnostic uncertainty 1 , 2 . For example, mutations in PPARG cause Mendelian lipodystrophy 3 , 4 and increase risk of type 2 diabetes (T2D) 5 . Although approximately 1 in 500 people harbor missense variants in PPARG , most are of unknown consequence. To prospectively characterize PPARγ variants, we used highly parallel oligonucleotide synthesis to construct a library encoding all 9,595 possible single–amino acid substitutions. We developed a pooled functional assay in human macrophages, experimentally evaluated all protein variants, and used the experimental data to train a variant classifier by supervised machine learning. When applied to 55 new missense variants identified in population-based and clinical sequencing, the classifier annotated 6 variants as pathogenic; these were subsequently validated by single-variant assays. Saturation mutagenesis and prospective experimental characterization can support immediate diagnostic interpretation of newly discovered missense variants in disease-related genes.