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A genome-wide association meta-analysis of diarrhoeal disease in young children identifies FUT2 locus and provides plausible biological pathways.

Overview of attention for article published in Human Molecular Genetics, August 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Citations

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34 Dimensions

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100 Mendeley
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Title
A genome-wide association meta-analysis of diarrhoeal disease in young children identifies FUT2 locus and provides plausible biological pathways.
Published in
Human Molecular Genetics, August 2016
DOI 10.1093/hmg/ddw264
Pubmed ID
Authors

Mariona Bustamante, Marie Standl, Quique Bassat, Natalia Vilor-Tejedor, Carolina Medina-Gomez, Carolina Bonilla, Tarunveer S Ahluwalia, Jonas Bacelis, Jonathan P Bradfield, Carla M T Tiesler, Fernando Rivadeneira, Susan Ring, Nadja H Vissing, Nadia R Fink, Astanand Jugessur, Frank D Mentch, Ferran Ballester, Jennifer Kriebel, Jessica C Kiefte-de Jong, Helene M Wolsk, Sabrina Llop, Elisabeth Thiering, Systke A Beth, Nicholas J Timpson, Josefine Andersen, Holger Schulz, Vincent W V Jaddoe, David M Evans, Johannes Waage, Hakon Hakonarson, Struan F A Grant, Bo Jacobsson, Klaus Bønnelykke, Hans Bisgaard, George Davey Smith, Henriette A Moll, Joachim Heinrich, Xavier Estivill, Jordi Sunyer

Abstract

More than a million childhood diarrhoeal episodes occur worldwide each year, and in developed countries a considerable part of them are caused by viral infections. In this study we aimed to search for genetic variants associated with diarrhoeal disease in young children by meta-analyzing genome-wide association studies, and to elucidate plausible biological mechanisms.The study was conducted in the context of the Early Genetics and Lifecourse Epidemiology (EAGLE) consortium. Data about diarrhoeal disease in two time windows (around one year of age and around two years of age) was obtained via parental questionnaires, doctor interviews or medical records. Standard quality control and statistical tests were applied to the 1000 Genomes imputed genotypic data.The meta-analysis (N=5,758) followed by replication (N=3,784) identified a genome-wide significant association between rs8111874 and diarrhoea at age one year. Conditional analysis suggested that the causal variant could be rs601338 (W154X) in the FUT2 gene. Children with the A allele, which results in a truncated FUT2 protein, had lower risk of diarrhoea. FUT2 participates in the production of histo-blood group antigens and has previously been implicated in the susceptibility to infections, including Rotavirus and Norovirus Gene-set enrichment analysis suggested pathways related to the histo-blood group antigen production, and the regulation of ion transport and blood pressure. Among others, the gastrointestinal tract, the immune and neuro-secretory systems were detected as relevant organs.In summary, this genome-wide association meta-analysis suggests the implication of the FUT2 gene in diarrhoeal disease in young children from the general population.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 99 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 23%
Student > Ph. D. Student 11 11%
Student > Master 11 11%
Student > Doctoral Student 7 7%
Student > Bachelor 7 7%
Other 20 20%
Unknown 21 21%
Readers by discipline Count As %
Medicine and Dentistry 18 18%
Biochemistry, Genetics and Molecular Biology 17 17%
Agricultural and Biological Sciences 13 13%
Immunology and Microbiology 5 5%
Social Sciences 4 4%
Other 16 16%
Unknown 27 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 18 January 2017.
All research outputs
#1,392,720
of 22,883,326 outputs
Outputs from Human Molecular Genetics
#278
of 8,035 outputs
Outputs of similar age
#27,348
of 342,845 outputs
Outputs of similar age from Human Molecular Genetics
#10
of 111 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,035 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 96% 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 342,845 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 92% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.