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article · Human Genetics and Genomics Advances

Multiple molecular diagnoses identified through genome sequencing in individuals with suspected rare disease

20254 citationsOpen accessHo Technical University

Abstract

Genome sequencing is a powerful and comprehensive test that detects multiple variants of different types. The interrogation of variants across the genome enables the identification of multiple molecular diagnoses (MMDs) in a single individual. In this retrospective study, we describe individuals in whom MMDs were associated with the proband's indication for testing (IFT), secondary findings, or incidental findings. An MMD is considered where at least one of the findings is associated with the primary IFT and all variants are classified as either likely pathogenic or pathogenic. Clinical genome sequencing was performed for all individuals as part of the iHope program at the Illumina Laboratory Services between September 2017 and December 2023. The iHope cohort included 1,846 affected individuals, with 872 (47.2%) found to have at least one likely pathogenic or pathogenic variant associated with the primary IFT. Of these, 81 (9.3%) individuals had multiple clinically significant molecular findings, including 76 individuals with reported variants associated with 2 different conditions, and 5 individuals with more than 2 molecular findings. A total of 32 individuals (3.7%) had at least 2 molecular diagnoses related to the primary IFT, while in 49 (5.6%) individuals, the variant(s) reported for the second condition constituted a secondary or incidental finding. Our study highlights that among individuals with a likely pathogenic or pathogenic finding identified through genome sequencing, 9% have MMDs, which may have been missed with different testing methods. Of note, approximately 60% of the 81 individuals with an MMD had a potentially actionable secondary or incidental finding.

Research topics

  • Genomics and Rare Diseases
  • Genetic factors in colorectal cancer
  • Genomic variations and chromosomal abnormalities

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DOI: 10.1016/j.xhgg.2025.100430

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