Literature DB >> 30311390

Unique aspects of sequence variant interpretation for inborn errors of metabolism (IEM): The ClinGen IEM Working Group and the Phenylalanine Hydroxylase Gene.

Diane B Zastrow1,2, Heather Baudet3, Wei Shen4,5, Amanda Thomas6, Yue Si7, Meredith A Weaver8, Angela M Lager9, Jixia Liu10, Rachel Mangels2, Selina S Dwight2, Matt W Wright2, Steven F Dobrowolski11, Karen Eilbeck5, Gregory M Enns2, Annette Feigenbaum12, Uta Lichter-Konecki13, Elaine Lyon4,5, Marzia Pasquali4,5, Michael Watson8, Nenad Blau14, Robert D Steiner10,15, William J Craigen16, Rong Mao4,5.   

Abstract

The ClinGen Inborn Errors of Metabolism Working Group was tasked with creating a comprehensive, standardized knowledge base of genes and variants for metabolic diseases. Phenylalanine hydroxylase (PAH) deficiency was chosen to pilot development of the Working Group's standards and guidelines. A PAH variant curation expert panel (VCEP) was created to facilitate this process. Following ACMG-AMP variant interpretation guidelines, we present the development of these standards in the context of PAH variant curation and interpretation. Existing ACMG-AMP rules were adjusted based on disease (6) or strength (5) or both (2). Disease adjustments include allele frequency thresholds, functional assay thresholds, and phenotype-specific guidelines. Our validation of PAH-specific variant interpretation guidelines is presented using 85 variants. The PAH VCEP interpretations were concordant with existing interpretations in ClinVar for 69 variants (81%). Development of biocurator tools and standards are also described. Using the PAH-specific ACMG-AMP guidelines, 714 PAH variants have been curated and will be submitted to ClinVar. We also discuss strategies and challenges in applying ACMG-AMP guidelines to autosomal recessive metabolic disease, and the curation of variants in these genes.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  ClinGen; PAH deficiency; inborn errors of metabolism; phenylalanine hydroxylase; variant interpretation

Mesh:

Substances:

Year:  2018        PMID: 30311390      PMCID: PMC6556116          DOI: 10.1002/humu.23649

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  26 in total

1.  A SIMPLE PHENYLALANINE METHOD FOR DETECTING PHENYLKETONURIA IN LARGE POPULATIONS OF NEWBORN INFANTS.

Authors:  R GUTHRIE; A SUSI
Journal:  Pediatrics       Date:  1963-09       Impact factor: 7.124

2.  Influence of phenylalanine intake on phenylketonuria.

Authors:  H BICKEL; J GERRARD; E M HICKMANS
Journal:  Lancet       Date:  1953-10-17       Impact factor: 79.321

3.  Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm.

Authors:  Prateek Kumar; Steven Henikoff; Pauline C Ng
Journal:  Nat Protoc       Date:  2009-06-25       Impact factor: 13.491

4.  Structural and functional analyses of mutations of the human phenylalanine hydroxylase gene.

Authors:  Sang-Wun Kim; Jongsun Jung; Hyun-Jeong Oh; Jihong Kim; Kwang-Soo Lee; Dong-Hwan Lee; Chan Park; Kuchan Kimm; Soo Kyung Koo; Sung-Chul Jung
Journal:  Clin Chim Acta       Date:  2005-10-25       Impact factor: 3.786

5.  Molecular basis of phenotypic heterogeneity in phenylketonuria.

Authors:  Y Okano; R C Eisensmith; F Güttler; U Lichter-Konecki; D S Konecki; F K Trefz; M Dasovich; T Wang; K Henriksen; H Lou
Journal:  N Engl J Med       Date:  1991-05-02       Impact factor: 91.245

Review 6.  National Institutes of Health Consensus Development Conference Statement: phenylketonuria: screening and management, October 16-18, 2000.

Authors: 
Journal:  Pediatrics       Date:  2001-10       Impact factor: 7.124

7.  A method and server for predicting damaging missense mutations.

Authors:  Ivan A Adzhubei; Steffen Schmidt; Leonid Peshkin; Vasily E Ramensky; Anna Gerasimova; Peer Bork; Alexey S Kondrashov; Shamil R Sunyaev
Journal:  Nat Methods       Date:  2010-04       Impact factor: 28.547

8.  In vitro expression of 34 naturally occurring mutant variants of phenylalanine hydroxylase: correlation with metabolic phenotypes and susceptibility toward protein aggregation.

Authors:  T Gjetting; M Petersen; P Guldberg; F Güttler
Journal:  Mol Genet Metab       Date:  2001-02       Impact factor: 4.797

9.  Phenylketonuria: genotype-phenotype correlations based on expression analysis of structural and functional mutations in PAH.

Authors:  Angel L Pey; Lourdes R Desviat; Alejandra Gámez; Magdalena Ugarte; Belén Pérez
Journal:  Hum Mutat       Date:  2003-04       Impact factor: 4.878

10.  Human Splicing Finder: an online bioinformatics tool to predict splicing signals.

Authors:  François-Olivier Desmet; Dalil Hamroun; Marine Lalande; Gwenaëlle Collod-Béroud; Mireille Claustres; Christophe Béroud
Journal:  Nucleic Acids Res       Date:  2009-04-01       Impact factor: 16.971

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  18 in total

1.  Mutation spectrum of PAH gene in phenylketonuria patients in Northwest China: identification of twenty novel variants.

Authors:  Yousheng Yan; Chuan Zhang; Xiaohua Jin; Qinhua Zhang; Lei Zheng; Xuan Feng; Shengju Hao; Huafang Gao; Xu Ma
Journal:  Metab Brain Dis       Date:  2019-02-12       Impact factor: 3.584

2.  Variant Classification Concordance using the ACMG-AMP Variant Interpretation Guidelines across Nine Genomic Implementation Research Studies.

Authors:  Laura M Amendola; Kathleen Muenzen; Leslie G Biesecker; Kevin M Bowling; Greg M Cooper; Michael O Dorschner; Catherine Driscoll; Ann Katherine M Foreman; Katie Golden-Grant; John M Greally; Lucia Hindorff; Dona Kanavy; Vaidehi Jobanputra; Jennifer J Johnston; Eimear E Kenny; Shannon McNulty; Priyanka Murali; Jeffrey Ou; Bradford C Powell; Heidi L Rehm; Bradley Rolf; Tamara S Roman; Jessica Van Ziffle; Saurav Guha; Avinash Abhyankar; David Crosslin; Eric Venner; Bo Yuan; Hana Zouk; Gail P Jarvik
Journal:  Am J Hum Genet       Date:  2020-10-26       Impact factor: 11.025

3.  Overview of Specifications to the ACMG/AMP Variant Interpretation Guidelines.

Authors:  Steven M Harrison; Leslie G Biesecker; Heidi L Rehm
Journal:  Curr Protoc Hum Genet       Date:  2019-09

4.  ClinGen Variant Curation Expert Panel experiences and standardized processes for disease and gene-level specification of the ACMG/AMP guidelines for sequence variant interpretation.

Authors:  Edgar A Rivera-Muñoz; Laura V Milko; Steven M Harrison; Danielle R Azzariti; C Lisa Kurtz; Kristy Lee; Jessica L Mester; Meredith A Weaver; Erin Currey; William Craigen; Charis Eng; Birgit Funke; Madhuri Hegde; Ray E Hershberger; Rong Mao; Robert D Steiner; Lisa M Vincent; Christa L Martin; Sharon E Plon; Erin Ramos; Heidi L Rehm; Michael Watson; Jonathan S Berg
Journal:  Hum Mutat       Date:  2018-11       Impact factor: 4.878

5.  A pilot study of expanded newborn screening for 573 genes related to severe inherited disorders in China: results from 1,127 newborns.

Authors:  Xiaomei Luo; Yu Sun; Feng Xu; Jun Guo; Lin Li; Zhiwei Lin; Jun Ye; Xuefan Gu; Yongguo Yu
Journal:  Ann Transl Med       Date:  2020-09

6.  Clinical Interpretation of Sequence Variants.

Authors:  Junyu Zhang; Yanyi Yao; Haixian He; Jun Shen
Journal:  Curr Protoc Hum Genet       Date:  2020-06

7.  ClinGen Variant Curation Interface: a variant classification platform for the application of evidence criteria from ACMG/AMP guidelines.

Authors:  Christine G Preston; Matt W Wright; Rao Madhavrao; Steven M Harrison; Jennifer L Goldstein; Xi Luo; Hannah Wand; Bryan Wulf; Gloria Cheung; Mark E Mandell; Howard Tong; Shaung Cheng; Michael A Iacocca; Arturo Lopez Pineda; Alice B Popejoy; Karen Dalton; Jimmy Zhen; Selina S Dwight; Lawrence Babb; Marina DiStefano; Julianne M O'Daniel; Kristy Lee; Erin R Riggs; Diane B Zastrow; Jessica L Mester; Deborah I Ritter; Ronak Y Patel; Sai Lakshmi Subramanian; Aleksander Milosavljevic; Jonathan S Berg; Heidi L Rehm; Sharon E Plon; J Michael Cherry; Carlos D Bustamante; Helio A Costa
Journal:  Genome Med       Date:  2022-01-18       Impact factor: 11.117

8.  Comparative analysis of functional assay evidence use by ClinGen Variant Curation Expert Panels.

Authors:  Dona M Kanavy; Shannon M McNulty; Meera K Jairath; Sarah E Brnich; Chris Bizon; Bradford C Powell; Jonathan S Berg
Journal:  Genome Med       Date:  2019-11-29       Impact factor: 11.117

9.  Reinterpretation of common pathogenic variants in ClinVar revealed a high proportion of downgrades.

Authors:  Jiale Xiang; Jiyun Yang; Lisha Chen; Qiang Chen; Haiyan Yang; Chengcheng Sun; Qing Zhou; Zhiyu Peng
Journal:  Sci Rep       Date:  2020-01-15       Impact factor: 4.379

10.  Recommendations for application of the functional evidence PS3/BS3 criterion using the ACMG/AMP sequence variant interpretation framework.

Authors:  Sarah E Brnich; Ahmad N Abou Tayoun; Fergus J Couch; Garry R Cutting; Marc S Greenblatt; Christopher D Heinen; Dona M Kanavy; Xi Luo; Shannon M McNulty; Lea M Starita; Sean V Tavtigian; Matt W Wright; Steven M Harrison; Leslie G Biesecker; Jonathan S Berg
Journal:  Genome Med       Date:  2019-12-31       Impact factor: 11.117

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