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Genomic and genealogical investigation of the French Canadian founder population structure

Overview of attention for article published in Human Genetics, January 2011
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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5 news outlets
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1 blog
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1 X user

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Title
Genomic and genealogical investigation of the French Canadian founder population structure
Published in
Human Genetics, January 2011
DOI 10.1007/s00439-010-0945-x
Pubmed ID
Authors

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

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Lebanon 1 2%
United States 1 2%
Canada 1 2%
Unknown 51 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Researcher 10 18%
Student > Master 8 15%
Student > Bachelor 7 13%
Other 6 11%
Other 11 20%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 40%
Biochemistry, Genetics and Molecular Biology 11 20%
Social Sciences 6 11%
Medicine and Dentistry 6 11%
Neuroscience 3 5%
Other 5 9%
Unknown 2 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 June 2022.
All research outputs
#761,754
of 22,707,247 outputs
Outputs from Human Genetics
#55
of 2,950 outputs
Outputs of similar age
#4,002
of 194,885 outputs
Outputs of similar age from Human Genetics
#2
of 13 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 194,885 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.