Evidence map›Paper›PMID 41100445›Full record

ArticlePLoS genetics2025

Rare diseases load through the study of a regional population.

Élisa Michel, Claudia Moreau, Laurence Gagnon, Mylène Gagnon, Josianne Leblanc, Jessica Tardif, Lysanne Girard, Jean Mathieu, Cynthia Gagnon, Mathieu Desmeules and 3 more

Abstract read
In one paragraph

Article in PLoS genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Élisa MichelDépartement des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, Québec, Canada.
Claudia MoreauDépartement des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, Québec, Canada.
Laurence GagnonDépartement des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, Québec, Canada.ORCID https://orcid.org/0009-0007-9920-997X
Mylène GagnonDépartement des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, Québec, Canada.ORCID https://orcid.org/0009-0004-6253-1410
Josianne LeblancDépartement Clinique de Médecine de Laboratoire du Centre Intégré Universitaire de Santé et Services Sociaux (CIUSSS) du Saguenay-Lac-St-Jean, Saguenay, Québec, Canada.
Jessica TardifDépartement Clinique de Médecine de Laboratoire du Centre Intégré Universitaire de Santé et Services Sociaux (CIUSSS) du Saguenay-Lac-St-Jean, Saguenay, Québec, Canada.ORCID https://orcid.org/0000-0001-5991-4366
Lysanne GirardDépartement de Biochimie et de Génomique Fonctionnelle, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Saguenay, Québec, Canada.
Jean MathieuGroupe de Recherche Interdisciplinaire sur les Maladies Neuromusculaires (GRIMN), CIUSSS du Saguenay-Lac-Saint-Jean, Saguenay, Québec, Canada.ORCID https://orcid.org/0000-0002-2597-9708
Cynthia GagnonGroupe de Recherche Interdisciplinaire sur les Maladies Neuromusculaires (GRIMN), CIUSSS du Saguenay-Lac-Saint-Jean, Saguenay, Québec, Canada.
Mathieu DesmeulesGroupe de Recherche Interdisciplinaire sur les Maladies Neuromusculaires (GRIMN), CIUSSS du Saguenay-Lac-Saint-Jean, Saguenay, Québec, Canada.
Jean-Denis BrissonGroupe de Recherche Interdisciplinaire sur les Maladies Neuromusculaires (GRIMN), CIUSSS du Saguenay-Lac-Saint-Jean, Saguenay, Québec, Canada.ORCID https://orcid.org/0000-0001-6466-8817
Luigi BouchardDépartement Clinique de Médecine de Laboratoire du Centre Intégré Universitaire de Santé et Services Sociaux (CIUSSS) du Saguenay-Lac-St-Jean, Saguenay, Québec, Canada.
Simon L GirardDépartement des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, Québec, Canada.ORCID https://orcid.org/0000-0002-4089-2280

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Rare DiseasesCohort StudiesFemaleFounder EffectGenetics, PopulationHumansMaleMutationQuebec

Identifiers

PMID41100445
PMCPMC12530595

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.