P659: Scalable classification of rare diseases across research studies

the ATXN2 expansion later confirmed by PCR.One case (GLS) also exhibited strong correlation, although the expansion was in a heterozygous state with no second variant identified.In the remaining 5 cases, limited or absent clinical data prevented adequate assessment of genotype-phenotype correlation.Conclusion: This study highlights the utility of ExpansionHunter for detecting STR expansions in ES data, emphasizing its potential in clinical diagnostic workflows.Of the 19 identified cases, 14 were supported after visual inspection, with 9 showing strong genotype-phenotype correlation, including cases linked to ATXN2, ATXN7, DMPK, and GLS.This represents an improved accuracy of approximately 0,2% in an unselected pool of ES samples.The exclusion of five likely false-positive results underscores the importance of integrating visual validation tools such as REViewer to ensure diagnostic accuracy.While ExpansionHunter proves to be a valuable tool for analyzing STR expansions, its application would benefit from further optimization to reduce false-positive rates in ES.This real-world evaluation supports the integration of STR expansion analysis into routine diagnostic pipelines for inherited disorders.

Authors

Institutions

Publication Details

Journal
Genetics in Medicine Open
Published
2025-01-01
DOI
https://doi.org/10.1016/j.gimo.2025.103028
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P659: Scalable classification of rare diseases across research studies

Piotr Sliz, Tina Truong, Alan H. Beggs, Shira Rockowitz et al.
Genetics in Medicine Open
Genomics and Rare Diseases
article

P659: Scalable classification of rare diseases across research studies

Piotr Sliz, Tina Truong, Alan H. Beggs, Shira Rockowitz, Courtney E. French
article en

Abstract

the ATXN2 expansion later confirmed by PCR.One case (GLS) also exhibited strong correlation, although the expansion was in a heterozygous state with no second variant identified.In the remaining 5 cases, limited or absent clinical data prevented adequate assessment of genotype-phenotype correlation.Conclusion: This study highlights the utility of ExpansionHunter for detecting STR expansions in ES data, emphasizing its potential in clinical diagnostic workflows.Of the 19 identified cases, 14 were supported after visual inspection, with 9 showing strong genotype-phenotype correlation, including cases linked to ATXN2, ATXN7, DMPK, and GLS.This represents an improved accuracy of approximately 0,2% in an unselected pool of ES samples.The exclusion of five likely false-positive results underscores the importance of integrating visual validation tools such as REViewer to ensure diagnostic accuracy.While ExpansionHunter proves to be a valuable tool for analyzing STR expansions, its application would benefit from further optimization to reduce false-positive rates in ES.This real-world evaluation supports the integration of STR expansion analysis into routine diagnostic pipelines for inherited disorders.

Genetics in Medicine OpenVol. 3
Boston Children's Hospital (US), Boston Children's Museum (US)
Openalex Percentile: Top 94%
Genomics and Rare Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

P659: Scalable classification of rare diseases across research studies — Piotr Sliz, Tina Truong, et al. · Genetics in Medicine Open (2025) | TGRS Research Map | TGRS