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      A Saturation Mutagenesis Approach to Understanding PTEN Lipid Phosphatase Activity and Genotype-Phenotype Relationships

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      The American Journal of Human Genetics
      Elsevier BV

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          Abstract

          <p class="first" id="d1902798e144">Phosphatase and tensin homolog ( <i>PTEN</i>) is a tumor suppressor frequently mutated in diverse cancers. Germline <i>PTEN</i> mutations are also associated with a range of clinical outcomes, including PTEN hamartoma tumor syndrome (PHTS) and autism spectrum disorder (ASD). To empower new insights into PTEN function and clinically relevant genotype-phenotype relationships, we systematically evaluated the effect of <i>PTEN</i> mutations on lipid phosphatase activity <i>in vivo</i>. Using a massively parallel approach that leverages an artificial humanized yeast model, we derived high-confidence estimates of functional impact for 7,244 single amino acid PTEN variants (86% of possible). We identified 2,273 mutations with reduced cellular lipid phosphatase activity, which includes 1,789 missense mutations. These data recapitulated known functional findings but also uncovered new insights into PTEN protein structure, biochemistry, and mutation tolerance. Several residues in the catalytic pocket showed surprising mutational tolerance. We identified that the solvent exposure of wild-type residues is a critical determinant of mutational tolerance. Further, we created a comprehensive functional map by leveraging correlations between amino acid substitutions to impute functional scores for all variants, including those not present in the assay. Variant functional scores can reliably discriminate likely pathogenic from benign alleles. Further, 32% of ClinVar unclassified missense variants are phosphatase deficient in our assay, supporting their reclassification. ASD-associated mutations generally had less severe fitness scores relative to PHTS-associated mutations (p = 7.16 × 10 <sup>−5</sup>) and a higher fraction of hypomorphic mutations, arguing for continued genotype-phenotype studies in larger clinical datasets that can further leverage these rich functional data. </p>

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          Author and article information

          Journal
          The American Journal of Human Genetics
          The American Journal of Human Genetics
          Elsevier BV
          00029297
          May 2018
          May 2018
          : 102
          : 5
          : 943-955
          Article
          10.1016/j.ajhg.2018.03.018
          5986715
          29706350
          b6b3446e-afb6-4fd9-a544-5b8dc26baf1f
          © 2018

          https://www.elsevier.com/tdm/userlicense/1.0/

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