Rare diseases load through the study of a regional population

Rare genetic diseases impact many people worldwide and are challenging to diagnose. In this study, we introduce a novel regional population cohort approach to identify pathogenic variants causing Mendelian diseases that occur more frequently within specific populations and are of clinical interest for carrier testing. We utilized a cohort from Quebec, including the Saguenay-Lac-Saint-Jean region, which is known for its founder effect followed by a rapid expansion and higher frequency of certain pathogenic variants. By analyzing both their frequency and origin through shared identical-by-descent segments, we identified founder variants. We calculated and compared their frequency in individuals originating from the Saguenay-Lac-Saint-Jean and from other urban Quebec regions. We validated 38 previously reported variants as being more common due to the founder effect and population expansion. Additionally, we identified 42 unreported founder variants in Quebec or Saguenay-Lac-Saint-Jean, some with carrier rates estimates as high as 1/22. We also observed a greater deleterious mutational load for the studied variants in individuals from the Saguenay-Lac-Saint-Jean compared to other urban Quebec regions. These findings were brought to the clinic, where 12 pathogenic variants were detected in diagnosed patients. Five variants found in this study are responsible for very severe diseases and could be considered for inclusion in a carrier test for the Saguenay-Lac-Saint-Jean population. This study highlights the potential underestimation of rare disease prevalence and presents a population-based approach that could aid clinicians in their diagnostic efforts and patients' management.

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Publication Details

Journal
PLoS Genetics
Published
2025-10-16
DOI
https://doi.org/10.1371/journal.pgen.1011876
Citations
2
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
3.63
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article

Rare diseases load through the study of a regional population

Lysanne Girard, Eliane Michel, J.-C. Tardif, Josianne Leblanc et al.
2 citations
PLoS Genetics
Genomics and Rare Diseases
3.63
article

Rare diseases load through the study of a regional population

Lysanne Girard, Eliane Michel, J.-C. Tardif, Josianne Leblanc, Cynthia Gagnon, Laurence Gagnon, Simon Girard, Luigi Bouchard, Jean Mathieu, Claudia Moreau, Jean‐Denis Brisson, Mathieu Desmeules, Marc Gagnon
article en
2 citations

Abstract

Rare genetic diseases impact many people worldwide and are challenging to diagnose. In this study, we introduce a novel regional population cohort approach to identify pathogenic variants causing Mendelian diseases that occur more frequently within specific populations and are of clinical interest for carrier testing. We utilized a cohort from Quebec, including the Saguenay-Lac-Saint-Jean region, which is known for its founder effect followed by a rapid expansion and higher frequency of certain pathogenic variants. By analyzing both their frequency and origin through shared identical-by-descent segments, we identified founder variants. We calculated and compared their frequency in individuals originating from the Saguenay-Lac-Saint-Jean and from other urban Quebec regions. We validated 38 previously reported variants as being more common due to the founder effect and population expansion. Additionally, we identified 42 unreported founder variants in Quebec or Saguenay-Lac-Saint-Jean, some with carrier rates estimates as high as 1/22. We also observed a greater deleterious mutational load for the studied variants in individuals from the Saguenay-Lac-Saint-Jean compared to other urban Quebec regions. These findings were brought to the clinic, where 12 pathogenic variants were detected in diagnosed patients. Five variants found in this study are responsible for very severe diseases and could be considered for inclusion in a carrier test for the Saguenay-Lac-Saint-Jean population. This study highlights the potential underestimation of rare disease prevalence and presents a population-based approach that could aid clinicians in their diagnostic efforts and patients' management.

PLoS GeneticsVol. 21(10)
Université du Québec à Chicoutimi (CA), Université de Sherbrooke (CA), Cégep de Chicoutimi (CA), Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean (CA), Aluminium Refining, Degassing and Filtering (Canada) (CA), Université Laval (CA)
Openalex Percentile: Top 6%
Genomics and Rare Diseases
3.63
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