Evidence map›Paper›PMID 21234765›Full record

ArticleHuman genetics2011

Genomic and genealogical investigation of the French Canadian founder population structure.

Marie-Hélène Roy-Gagnon, Claudia Moreau, Claude Bherer, Pascal St-Onge, Daniel Sinnett, Catherine Laprise, Hélène Vézina, Damian Labuda

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Article in Human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
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  10. La Tunisie medicale · 2024
    Review
  11. Article
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  14. Assessment of burden and segregation profiles of CNVs in patients with epilepsy.Annals of clinical and translational neurology · 2022
    Article
  15. Article
  16. Article
  17. Article
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  20. 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

8 authors.

Marie-Hélène Roy-GagnonDepartment of Social and Preventive Medicine, Université de Montréal, Montréal, QC, Canada. marie-helene.roy-gagnon@umontreal.ca
Claudia Moreau
Claude Bherer
Pascal St-Onge
Daniel Sinnett
Catherine Laprise
Hélène Vézina
Damian Labuda

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Characterizing the genetic structure of worldwide populations is important for understanding human history and is essential to the design and analysis of genetic epidemiological studies. In this study, we examined genetic structure and distant relatedness and their effect on the extent of linkage disequilibrium (LD) and homozygosity in the founder population of Quebec (Canada). In the French Canadian founder population, such analysis can be performed using both genomic and genealogical data. We investigated genetic differences, extent of LD, and homozygosity in 140 individuals from seven sub-populations of Quebec characterized by different demographic histories reflecting complex founder events. Genetic findings from genome-wide single nucleotide polymorphism data were correlated with genealogical information on each of these sub-populations. Our genomic data showed significant population structure and relatedness present in the contemporary Quebec population, also reflected in LD and homozygosity levels. Our extended genealogical data corroborated these findings and indicated that this structure is consistent with the settlement patterns involving several founder events. This provides an independent and complementary validation of genomic-based studies of population structure. Combined genomic and genealogical data in the Quebec founder population provide insights into the effects of the interplay of two important sources of bias in genetic epidemiological studies, unrecognized genetic structure and cryptic relatedness.

Indexed as

Founder EffectGenealogy and HeraldryGenomicsPopulation DynamicsFranceHumansLinkage DisequilibriumMolecular EpidemiologyPolymorphism, Single NucleotideQuebec

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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.