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ABCA7 rare variants and Alzheimer disease risk

Overview of attention for article published in Neurology, April 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
4 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
107 Mendeley
citeulike
1 CiteULike
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Title
ABCA7 rare variants and Alzheimer disease risk
Published in
Neurology, April 2016
DOI 10.1212/wnl.0000000000002627
Pubmed ID
Authors

Kilan Le Guennec, Gaël Nicolas, Olivier Quenez, Camille Charbonnier, David Wallon, Céline Bellenguez, Benjamin Grenier-Boley, Stéphane Rousseau, Anne-Claire Richard, Anne Rovelet-Lecrux, Delphine Bacq, Jean-Guillaume Garnier, Robert Olaso, Anne Boland, Vincent Meyer, Jean-François Deleuze, Philippe Amouyel, Hans Markus Munter, Guillaume Bourque, Mark Lathrop, Thierry Frebourg, Richard Redon, Luc Letenneur, Jean-François Dartigues, Florence Pasquier, Adeline Rollin-Sillaire, Emmanuelle Génin, Jean-Charles Lambert, Didier Hannequin, Dominique Campion, Didier Hannequin, Dominique Campion, David Wallon, Olivier Martinaud, Gaël Nicolas, Adeline Rollin-Sillaire, Stéphanie Bombois, Marie-Anne Mackowiak, Vincent Deramecourt, Florence Pasquier, Agnès Michon, Isabelle Le Ber, Bruno Dubois, Charles Duyckaerts, Olivier Godefroy, Frédérique Etcharry-Bouyx, Valérie Chauviré, Ludivine Chamard, Eric Berger, Eloi Magnin, Jean-Francois Dartigues, Sophie Auriacombe, François Tison, Cyril Goizet, Vincent de la Sayette, Fausto Viader, Dominique Castan, Elsa Dionet, Francois Sellal, Olivier Rouaud, Christel Thauvin, Olivier Moreaud, Mathilde Sauvée, Maïté Formaglio, Hélène Mollion, Isabelle Roullet-Solignac, Alain Vighetto, Bernard Croisile, Mira Didic, Olivier Félician, Lejla Koric, Mathieu Ceccaldi, Audrey Gabelle, Cecilia Marelli, Jacques Touchon, Pierre Labauge, Thérèse Jonveaux, Martine Vercelletto, Claire Boutoleau-Bretonnière, Giovanni Castelnovo, David Renaud, Philippe Robert, Claire Paquet, Julien Dumurgier, Jacques Hugon, Foucauld De Boisgueheneuc, Serge Belliard, Serge Bakchine, Marie Sarazin, Marie-Odile Barrellon, Bernard Laurent, Frédéric Blanc, Christine Tranchant, Jérémie Pariente, Michèle Puel, Caroline Hommet, Karl Mondon

Abstract

To study the association between ABCA7 rare coding variants and Alzheimer disease (AD) in a case-control setting. We conducted a whole exome analysis among 484 French patients with early-onset AD and 590 ethnically matched controls. After collapsing rare variants (minor allele frequency ≤1%), we detected an enrichment of ABCA7 loss of function (LOF) and predicted damaging missense variants in cases (odds ratio [OR] 3.40, 95% confidence interval [CI] 1.68-7.35, p = 0.0002). Performing a meta-analysis with previously published data, we found that in a combined sample of 1,256 patients and 1,347 controls from France and Belgium, the OR was 2.81 (95% CI 1.89-4.20, p = 3.60 × 10(-7)). These results confirm that ABCA7 LOF variants are enriched in patients with AD and extend this finding to predicted damaging missense variants.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Unknown 104 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 21%
Student > Ph. D. Student 19 18%
Student > Master 11 10%
Student > Doctoral Student 7 7%
Student > Postgraduate 7 7%
Other 17 16%
Unknown 23 21%
Readers by discipline Count As %
Neuroscience 18 17%
Agricultural and Biological Sciences 17 16%
Biochemistry, Genetics and Molecular Biology 16 15%
Medicine and Dentistry 13 12%
Psychology 4 4%
Other 11 10%
Unknown 28 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 08 June 2016.
All research outputs
#1,691,881
of 25,393,528 outputs
Outputs from Neurology
#3,131
of 21,018 outputs
Outputs of similar age
#27,918
of 314,771 outputs
Outputs of similar age from Neurology
#61
of 275 outputs
Altmetric has tracked 25,393,528 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 21,018 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has done well, scoring higher than 85% 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 314,771 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 91% of its contemporaries.
We're also able to compare this research output to 275 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.