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Genomic architecture of sickle cell disease in West African children

Overview of attention for article published in Frontiers in Genetics, January 2014
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Title
Genomic architecture of sickle cell disease in West African children
Published in
Frontiers in Genetics, January 2014
DOI 10.3389/fgene.2014.00026
Pubmed ID
Authors

Jacklyn Quinlan, Youssef Idaghdour, Jean-Philippe Goulet, Elias Gbeha, Thibault de Malliard, Vanessa Bruat, Jean-Christophe Grenier, Selma Gomez, Ambaliou Sanni, Mohamed C. Rahimy, Philip Awadalla

Abstract

Sickle cell disease (SCD) is a congenital blood disease, affecting predominantly children from sub-Saharan Africa, but also populations world-wide. Although the causal mutation of SCD is known, the sources of clinical variability of SCD remain poorly understood, with only a few highly heritable traits associated with SCD having been identified. Phenotypic heterogeneity in the clinical expression of SCD is problematic for follow-up (FU), management, and treatment of patients. Here we used the joint analysis of gene expression and whole genome genotyping data to identify the genetic regulatory effects contributing to gene expression variation among groups of patients exhibiting clinical variability, as well as unaffected siblings, in Benin, West Africa. We characterized and replicated patterns of whole blood gene expression variation within and between SCD patients at entry to clinic, as well as in follow-up programs. We present a global map of genes involved in the disease through analysis of whole blood sampled from the cohort. Genome-wide association mapping of gene expression revealed 390 peak genome-wide significant expression SNPs (eSNPs) and 6 significant eSNP-by-clinical status interaction effects. The strong modulation of the transcriptome implicates pathways affecting core circulating cell functions and shows how genotypic regulatory variation likely contributes to the clinical variation observed in SCD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Researcher 10 16%
Student > Master 10 16%
Student > Postgraduate 6 10%
Lecturer 5 8%
Other 8 13%
Unknown 12 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 22%
Agricultural and Biological Sciences 14 22%
Medicine and Dentistry 12 19%
Immunology and Microbiology 3 5%
Social Sciences 2 3%
Other 1 2%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 February 2014.
All research outputs
#21,641,490
of 24,155,398 outputs
Outputs from Frontiers in Genetics
#9,226
of 12,970 outputs
Outputs of similar age
#276,201
of 314,515 outputs
Outputs of similar age from Frontiers in Genetics
#47
of 54 outputs
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We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.