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Common variation at 6p21.31 (BAK1) influences the risk of chronic lymphocytic leukemia

Overview of attention for article published in Blood, June 2012
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Title
Common variation at 6p21.31 (BAK1) influences the risk of chronic lymphocytic leukemia
Published in
Blood, June 2012
DOI 10.1182/blood-2012-03-413591
Pubmed ID
Authors

Susan L. Slager, Christine F. Skibola, Maria Chiara Di Bernardo, Lucia Conde, Peter Broderick, Shannon K. McDonnell, Lynn R. Goldin, Naomi Croft, Amy Holroyd, Shelley Harris, Jacques Riby, Daniel J. Serie, Neil E. Kay, Timothy G. Call, Paige M. Bracci, Eran Halperin, Mark C. Lanasa, Julie M. Cunningham, Jose F. Leis, Vicki A. Morrison, Logan G. Spector, Celine M. Vachon, Tait D. Shanafelt, Sara S. Strom, Nicola J. Camp, J. Brice Weinberg, Estella Matutes, Neil E. Caporaso, Rachel Wade, Martin J.S. Dyer, Claire Dearden, James R. Cerhan, Daniel Catovsky, Richard S. Houlston

Abstract

We performed a meta-analysis of 3 genome-wide association studies to identify additional common variants influencing chronic lymphocytic leukemia (CLL) risk. The discovery phase was composed of genome-wide association study data from 1121 cases and 3745 controls. Replication analysis was performed in 861 cases and 2033 controls. We identified a novel CLL risk locus at 6p21.33 (rs210142; intronic to the BAK1 gene, BCL2 antagonist killer 1; P = 9.47 × 10(-16)). A strong relationship between risk genotype and reduced BAK1 expression was shown in lymphoblastoid cell lines. This finding provides additional support for polygenic inheritance to CLL and provides further insight into the biologic basis of disease development.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 21%
Student > Ph. D. Student 10 17%
Other 9 16%
Student > Master 6 10%
Professor 3 5%
Other 7 12%
Unknown 11 19%
Readers by discipline Count As %
Medicine and Dentistry 15 26%
Agricultural and Biological Sciences 10 17%
Biochemistry, Genetics and Molecular Biology 7 12%
Social Sciences 5 9%
Computer Science 2 3%
Other 5 9%
Unknown 14 24%
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 10 October 2012.
All research outputs
#16,046,765
of 25,373,627 outputs
Outputs from Blood
#26,670
of 33,239 outputs
Outputs of similar age
#110,548
of 181,067 outputs
Outputs of similar age from Blood
#180
of 304 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,239 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 181,067 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 304 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.