2024
DOI: 10.1016/j.bone.2023.116947
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The Global ALPL gene variant classification project: Dedicated to deciphering variants

Mariam R. Farman,
Catherine Rehder,
Theodora Malli
et al.
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Cited by 9 publications
(1 citation statement)
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“…To further classify VUS, the ClinGen expert group adopted a Bayesian framework to facilitate the automatic quantitative evaluation of pathogenicity ( Tavtigian et al, 2018 ). In addition, multidisciplinary cooperation such as clinical phenotypic assessment, in-depth literature research including artificial intelligence, and protein structure analysis have become important tools for VUS classification ( Caswell et al, 2022 ; Casaletto et al, 2023 ; Farman et al, 2024 ). However, the pathogenicity of rare diseases still lacks sufficient samples, and artificial intelligence is easily affected by parameter changes.…”
Section: Discussionmentioning
confidence: 99%
“…To further classify VUS, the ClinGen expert group adopted a Bayesian framework to facilitate the automatic quantitative evaluation of pathogenicity ( Tavtigian et al, 2018 ). In addition, multidisciplinary cooperation such as clinical phenotypic assessment, in-depth literature research including artificial intelligence, and protein structure analysis have become important tools for VUS classification ( Caswell et al, 2022 ; Casaletto et al, 2023 ; Farman et al, 2024 ). However, the pathogenicity of rare diseases still lacks sufficient samples, and artificial intelligence is easily affected by parameter changes.…”
Section: Discussionmentioning
confidence: 99%