Evidence map›Paper›PMID 41771909›Full record

ArticleNature communications2026

Fine-scale structure of a whole regional population through genetics and genealogies.

Gilles-Philippe Morin, Claudia Moreau, Amadou Barry, Simon L Girard

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Gilles-Philippe MorinDépartement des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, QC, Canada.ORCID http://orcid.org/0009-0007-7923-9258
Claudia MoreauDépartement des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, QC, Canada.ORCID http://orcid.org/0000-0002-1480-3045
Amadou BarryCentre Intersectoriel en Santé Durable (CISD), Université du Québec à Chicoutimi (UQAC), Saguenay, QC, Canada.ORCID http://orcid.org/0000-0003-3396-1724
Simon L GirardDépartement des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, QC, Canada. simon2_girard@uqac.ca.ORCID http://orcid.org/0000-0002-4089-2280

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population stratification can confound genetic association studies and often persists despite adjustment using principal components of common variants. Demographic history and rare variants can also contribute to this confounding. But to what extent does demographic history impact fine structure and can be detected in human populations? To address this question, we analysed the Saguenay-Lac-Saint-Jean region of Quebec, a recent founder population long assumed to be homogeneous. Integrating genotype data with genealogical records, we show a strong concordance between realised (genetic) and expected (genealogical) kinship. Using a time-efficient algorithm capable of computing billions of pairwise kinship coefficients for all individuals married in the region between 1931 and 1960, we reveal fine structure at the municipal level, including an east-west genetic gradient shaped by differential founders' contribution, migration patterns and socioeconomic factors. These findings challenge the assumption of regional homogeneity and suggest that similar recent structure likely exists in other populations worldwide. These signals may be obscured by coarse, ancient structure under standard stratification corrections used in genome-wide association studies and polygenic risk score analyses which can lead to biases and false associations when realised allele frequencies correlate with phenotypic variation.

Indexed as

Genetics, PopulationAlgorithmsFounder EffectGenealogy and HeraldryGene FrequencyGenetic Risk ScoreGenome-Wide Association StudyGenotypeHumansPedigreePolymorphism, Single NucleotideQuebec

Identifiers

PMID41771909
PMCPMC13066195

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.