Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Recognition of a Critical Functional Domain and Improved PHOX2B Missense Variant Interpretation by Utilization of In Silico Prediction Tools
by
Skol, Andrew D
, Weese-Mayer, Debra E
, Rand, Casey M
, Yap, Kai Lee
, Drackley, Andy
in
Algorithms
/ Amino acids
/ Autonomic nervous system
/ Classification
/ Clinical significance
/ Genes
/ Genotype & phenotype
/ Homeobox
/ Hypoventilation
/ Mutation
/ Pathogenicity
/ Phox2b protein
/ Predictions
/ Respiration
2026
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Recognition of a Critical Functional Domain and Improved PHOX2B Missense Variant Interpretation by Utilization of In Silico Prediction Tools
by
Skol, Andrew D
, Weese-Mayer, Debra E
, Rand, Casey M
, Yap, Kai Lee
, Drackley, Andy
in
Algorithms
/ Amino acids
/ Autonomic nervous system
/ Classification
/ Clinical significance
/ Genes
/ Genotype & phenotype
/ Homeobox
/ Hypoventilation
/ Mutation
/ Pathogenicity
/ Phox2b protein
/ Predictions
/ Respiration
2026
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Recognition of a Critical Functional Domain and Improved PHOX2B Missense Variant Interpretation by Utilization of In Silico Prediction Tools
by
Skol, Andrew D
, Weese-Mayer, Debra E
, Rand, Casey M
, Yap, Kai Lee
, Drackley, Andy
in
Algorithms
/ Amino acids
/ Autonomic nervous system
/ Classification
/ Clinical significance
/ Genes
/ Genotype & phenotype
/ Homeobox
/ Hypoventilation
/ Mutation
/ Pathogenicity
/ Phox2b protein
/ Predictions
/ Respiration
2026
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Recognition of a Critical Functional Domain and Improved PHOX2B Missense Variant Interpretation by Utilization of In Silico Prediction Tools
Journal Article
Recognition of a Critical Functional Domain and Improved PHOX2B Missense Variant Interpretation by Utilization of In Silico Prediction Tools
2026
Request Book From Autostore
and Choose the Collection Method
Overview
Pathogenic heterozygous variants in PHOX2B are associated with congenital central hypoventilation syndrome (CCHS), which is characterized by autonomic nervous system dysregulation severely affecting respiratory control. The interpretation of PHOX2B missense variation is challenging due to their rarity and the lack of available functional evidence. Consequently, most PHOX2B missense variants are classified as variants of uncertain significance (VUSs), complicating the timely diagnosis and clinical management of the condition. To generate an improved model for assessments of PHOX2B missense variants, a methodology was derived to evaluate all PHOX2B missense variants in the literature and public/private databases according to a consensus classification framework and assigned pathogenicity classifications. Pathogenicity prediction scores from the in silico prediction tools CADD, REVEL, BayesDel, and AlphaMissense were obtained for all variants. A weighted logistic regression in a multiple imputation framework was performed to assess the strength of evidence supporting application of ACMG/AMP guidelines′ PP3/BP4 criteria. CADD, REVEL, and BayesDel meet the predictive strengths for PP3/BP4 recommended by the Clinical Genome Resource (ClinGen). Based on their areas under the curve and low proportions of variants with indeterminate pathogenicity predictions, BayesDel and REVEL were the strongest predictive tools and should be utilized for routine PHOX2B missense variant assessment with this study′s calculated score thresholds for PP3/BP4 strength levels. Furthermore, the positional distribution of pathogenic and benign variants was analyzed to assess potential hotspots or critical functional domains in PHOX2B, and pathogenic variants were found to cluster in the homeodomain. The enrichment of pathogenic variation was substantiated by the prediction tools, supporting the use of the PM1 criterion for variants in the homeodomain. This calibration of existing computational prediction tools for PHOX2B missense variant classification and recognition of the homeodomain variants will enable fewer VUS classifications in favor of conclusive results, aiding in these individuals′ care.
Publisher
John Wiley & Sons, Inc
Subject
This website uses cookies to ensure you get the best experience on our website.