Mitigating Genetic Diagnostic Errors and Unwarranted Cascade Testing: Two Illustrative Cases

Introduction: Genetic testing has revolutionized the clinical landscape by enabling rapid diagnosis, promoting translational research, and improving chances for actionability. With plummeting sequencing costs, Whole Genome Sequencing is becoming widely accessible and is paramount in identifying novel disorders or atypical presentations. The pipelines are now robust enough to uncover substitutions, small indels and also those which are typically not elucidated by sequencing strategies like copy number changes, repeat expansions, etc. Methods: We present two clinical cases, one with a copy number variation and another with a triplet repeat expansion, both of which were missed on the exome sequencing and fragment analysis, respectively, and eventually were diagnosed with Whole Genome Sequencing. Results: Whole Genome Sequencing may not be the primary test of choice in either case. However when limited panel tests fail despite being sensitive and specific, it might lead to unnecessary broader-spectrum testing and distress. Therefore, it is worth looking into the possibility of common errors before ordering expensive and extensive tests. Rechecking the previous data in clinical cases with classic presentations and strong family history may be cumbersome, but it is a valuable exercise before proceeding with the chase for rarer and novel genetic disorders.

Authors

Institutions

Publication Details

Journal
Apollo Medicine
Published
2026-05-10
DOI
https://doi.org/10.1177/09760016261445673
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

Mitigating Genetic Diagnostic Errors and Unwarranted Cascade Testing: Two Illustrative Cases

Khyati Arora, Surya Balakrishnan, Ambika Gupta, Reena Trivedi
Apollo Medicine
Genomics and Rare Diseases
article

Mitigating Genetic Diagnostic Errors and Unwarranted Cascade Testing: Two Illustrative Cases

Khyati Arora, Surya Balakrishnan, Ambika Gupta, Reena Trivedi
article en

Abstract

Introduction: Genetic testing has revolutionized the clinical landscape by enabling rapid diagnosis, promoting translational research, and improving chances for actionability. With plummeting sequencing costs, Whole Genome Sequencing is becoming widely accessible and is paramount in identifying novel disorders or atypical presentations. The pipelines are now robust enough to uncover substitutions, small indels and also those which are typically not elucidated by sequencing strategies like copy number changes, repeat expansions, etc. Methods: We present two clinical cases, one with a copy number variation and another with a triplet repeat expansion, both of which were missed on the exome sequencing and fragment analysis, respectively, and eventually were diagnosed with Whole Genome Sequencing. Results: Whole Genome Sequencing may not be the primary test of choice in either case. However when limited panel tests fail despite being sensitive and specific, it might lead to unnecessary broader-spectrum testing and distress. Therefore, it is worth looking into the possibility of common errors before ordering expensive and extensive tests. Rechecking the previous data in clinical cases with classic presentations and strong family history may be cumbersome, but it is a valuable exercise before proceeding with the chase for rarer and novel genetic disorders.

Apollo Medicine
Apollo Hospitals (IN), Apollo Hospitals (IN)
Openalex Percentile: Top 5%
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.