Development of a predictive matrix for pre-test genetic counselling in inherited retinal diseases based on data from 1001 patients enrolled in the IRD-PT registry

Genetic testing plays a pivotal role in the management of Inherited Retinal Diseases (IRDs), yet a significant proportion of patients remain without a molecular diagnosis. This study aimed to develop a predictive matrix to estimate the likelihood of diagnostic success in order to manage patient expectations prior to genetic testing. Conducted as a retrospective, single-center cohort study, it analyzed data from 1001 IRD patients across 804 unrelated families enrolled in the IRD-PT registry. Key clinical variables-including age at symptom onset, family history, consanguinity, and referral timing-were evaluated for their association with genetic diagnostic yield. Results showed that 68.03% of families received a solved diagnosis, while 11.19% were likely solved. The presence of consanguinity, a positive family history, or childhood symptom onset significantly increased the probability of a solved diagnosis (up to 81.7%), whereas their absence reduced it to 31.2%. The study culminated in the creation of a conditional probability model that stratifies patients by their likelihood of molecular confirmation. This tool offers clinicians a practical, evidence-based approach to pre-test genetic counselling, enhancing transparency and expectation management for patients undergoing IRD genetic testing.

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Publication Details

Journal
European Journal of Medical Genetics
Published
2026-06-16
DOI
https://doi.org/10.1016/j.ejmg.2026.105087
Primary Topic
Retinal Development and Disorders
Type
article
Field-Weighted Citation Impact
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article

Development of a predictive matrix for pre-test genetic counselling in inherited retinal diseases based on data from 1001 patients enrolled in the IRD-PT registry

Nuno Gouveia, Pedro M. Martins, João Pedro Marques, Inês Figueiredo et al.
European Journal of Medical Genetics
Retinal Development and Disorders
article

Development of a predictive matrix for pre-test genetic counselling in inherited retinal diseases based on data from 1001 patients enrolled in the IRD-PT registry

Nuno Gouveia, Pedro M. Martins, João Pedro Marques, Inês Figueiredo, Rufino Silva, Beatriz Gaspar, Nuno Cruz, Sara Geada, Ana Luísa Carvalho
article en

Abstract

Genetic testing plays a pivotal role in the management of Inherited Retinal Diseases (IRDs), yet a significant proportion of patients remain without a molecular diagnosis. This study aimed to develop a predictive matrix to estimate the likelihood of diagnostic success in order to manage patient expectations prior to genetic testing. Conducted as a retrospective, single-center cohort study, it analyzed data from 1001 IRD patients across 804 unrelated families enrolled in the IRD-PT registry. Key clinical variables-including age at symptom onset, family history, consanguinity, and referral timing-were evaluated for their association with genetic diagnostic yield. Results showed that 68.03% of families received a solved diagnosis, while 11.19% were likely solved. The presence of consanguinity, a positive family history, or childhood symptom onset significantly increased the probability of a solved diagnosis (up to 81.7%), whereas their absence reduced it to 31.2%. The study culminated in the creation of a conditional probability model that stratifies patients by their likelihood of molecular confirmation. This tool offers clinicians a practical, evidence-based approach to pre-test genetic counselling, enhancing transparency and expectation management for patients undergoing IRD genetic testing.

European Journal of Medical GeneticsVol. 82
Hospitais da Universidade de Coimbra (PT), Administração Regional de Saúde de Lisboa e Vale do Tejo (PT), Centro Hospitalar de Vila Nova de Gaia (PT), University of Coimbra (PT)
Openalex Percentile: Top 12%
Retinal Development and Disorders
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Development of a predictive matrix for pre-test genetic counselling in inherited retinal diseases based on data from 1001 patients enrolled in the IRD-PT registry — Nuno Gouveia, Pedro M. Martins, et al. · European Journal of Medical Genetics (2026) | TGRS Research Map | TGRS