Significance of utilizing in silico structural analysis and phenotypic data to characterize phenylalanine hydroxylase variants

• Verfasst von: Himmelreich, Nastassja [VerfasserIn]
• Verfasst von: Ramón-Maiques, Santiago [VerfasserIn]
• Verfasst von: Navarrete, Rosa [VerfasserIn]
• Verfasst von: Castejon-Fernandez, Natalia [VerfasserIn]
• Verfasst von: Garbade, Sven [VerfasserIn]
• Verfasst von: Martinez, Aurora [VerfasserIn]
• Verfasst von: Desviat, Lourdes R. [VerfasserIn]
• Verfasst von: Pérez, Belén [VerfasserIn]
• Verfasst von: Blau, Nenad [VerfasserIn]
• Titel: Significance of utilizing in silico structural analysis and phenotypic data to characterize phenylalanine hydroxylase variants
• Titelzusatz: a PAH landscape
• Verf.angabe: Nastassja Himmelreich, Santiago Ramón-Maiques, Rosa Navarrete, Natalia Castejon-Fernandez, Sven F. Garbade, Aurora Martinez, Lourdes R. Desviat, Belén Pérez, Nenad Blau
• E-Jahr: 2024
• Jahr: July 2024
• Umfang: 11 S.
• Illustrationen: Illustrationen
• Fussnoten: Online verfügbar 13 June 2024, Version des Artikels 20 June 2024 ; Gesehen am 20.01.2025
• Titel Quelle: Enthalten in: Molecular genetics and metabolism
• Ort Quelle: Orlando, Fla. : Academic Press, 1998
• Jahr Quelle: 2024
• Band/Heft Quelle: 142(2024), 3 vom: Juli, Artikel-ID 108514, Seite 1-11
• ISSN Quelle: 1096-7206
• DOI: doi:10.1016/j.ymgme.2024.108514
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Hyperphenylalaninemia
• Sach-SW: Mutation
• Sach-SW: Phenylketonuria
• Sach-SW: PKU
• Sach-SW: Variant curation
• Sach-SW: Variant effect prediction
• K10plus-PPN: 1915125243

Abstract

Phenylketonuria (PKU) is a genetic disorder caused by variations in the phenylalanine hydroxylase (PAH) gene. Among the 3369 reported PAH variants, 33.7% are missense alterations. Unfortunately, 30% of these missense variants are classified as variants of unknown significance (VUS), posing challenges for genetic risk assessment. In our study, we focused on analyzing 836 missense PAH variants following the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines specified by ClinGen PAH Variant Curation Expert Panel (VCEP) criteria. We utilized and compared variant annotator tools like Franklin and Varsome, conducted 3D structural analysis of PAH, and examined active and regulatory site hotspots. In addition, we assessed potential splicing effect of apparent missense variants. By evaluating phenotype data from 22962 PKU patients, our aim was to reassess the pathogenicity of missense variants. Our comprehensive approach successfully reclassified 309 VUSs out of 836 missense variants as likely pathogenic or pathogenic (37%), upgraded 370 likely pathogenic variants to pathogenic, and reclassified one previously considered likely benign variant as likely pathogenic. Phenotypic information was available for 636 missense variants, with 441 undergoing 3D structural analysis and active site hotspot identification for 180 variants. After our analysis, only 6% of missense variants were classified as VUSs, and three of them (c.23A>C/p.Asn8Thr, c.59_60delinsCC/p.Gln20Pro, and c.278A >T/p.Asn93Ile) may be influenced by abnormal splicing. Moreover, a pathogenic variant (c.168G>T/p.Glu56Asp) was identified to have a risk exceeding 98% for modifications of the consensus splice site, with high scores indicating a donor loss of 0.94. The integration of ACMG/AMP guidelines with in silico structural analysis and phenotypic data significantly reduced the number of missense VUSs, providing a strong basis for genetic counseling and emphasizing the importance of metabolic phenotype information in variant curation. This study also sheds light on the current landscape of PAH variants.