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

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.

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Journal
Nature Communications
Published
2026-03-02
DOI
https://doi.org/10.1038/s41467-026-70175-y
Primary Topic
Genetic Associations and Epidemiology
Type
article
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article

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

Gaëlle Morin, Claudia Moreau, Amadou Diogo Barry, Simon L. Girard
Nature Communications
Genetic Associations and Epidemiology
article

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

Gaëlle Morin, Claudia Moreau, Amadou Diogo Barry, Simon L. Girard
article en

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.

Nature Communications
Université du Québec à Chicoutimi (CA), Institut National de la Recherche Scientifique (CA), Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean (CA), Université Laval (CA)
Reduced inequalities
Openalex Percentile: Top 37%
Genetic Associations and Epidemiology
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Fine-scale structure of a whole regional population through genetics and genealogies — Gaëlle Morin, Claudia Moreau, et al. · Nature Communications (2026) | TGRS Research Map | TGRS