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Extension of the generalized disequilibrium test to polytomous phenotypes and two-locus models

Overview of attention for article published in Frontiers in Genetics, August 2014
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Title
Extension of the generalized disequilibrium test to polytomous phenotypes and two-locus models
Published in
Frontiers in Genetics, August 2014
DOI 10.3389/fgene.2014.00258
Pubmed ID
Authors

Alexandre Bureau, Jordie Croteau, Yvon C. Chagnon, Marc-André Roy, Michel Maziade

Abstract

WE EXTEND THE USUAL LOGISTIC MODEL BETWEEN A DICHOTOMOUS PHENOTYPE AND AN ALLELE COUNT IN TWO WAYS: a polytomous phenotype with K > 2 levels, and modeling of allele counts at two unlinked marker loci. Inference is based on within-family information to guard against potential bias due to population genetic structure. Score tests of the model coefficients taking into account the correlation between relatives in entire pedigrees are derived as an extension of the Generalized Disequilibrium Test (GDT). Simulations confirm that the tests have the expected statistical properties, and that their power exceeds that of the GDT under a favorable scenario. The score tests are illustrated with candidate genetic markers, a major psychosis phenotype and a cognitive endophenotype in large kindreds from Eastern Quebec.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 50%
Student > Bachelor 1 13%
Other 1 13%
Student > Master 1 13%
Student > Ph. D. Student 1 13%
Other 0 0%
Readers by discipline Count As %
Neuroscience 3 38%
Biochemistry, Genetics and Molecular Biology 2 25%
Medicine and Dentistry 2 25%
Agricultural and Biological Sciences 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 August 2014.
All research outputs
#13,917,593
of 22,759,618 outputs
Outputs from Frontiers in Genetics
#3,506
of 11,758 outputs
Outputs of similar age
#115,491
of 230,503 outputs
Outputs of similar age from Frontiers in Genetics
#75
of 135 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,758 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 67% 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 230,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.