↓ Skip to main content

Association of polygenic risk score with the risk of chronic lymphocytic leukemia and monoclonal B-cell lymphocytosis

Overview of attention for article published in Blood, April 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
13 X users
facebook
1 Facebook page

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
51 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Association of polygenic risk score with the risk of chronic lymphocytic leukemia and monoclonal B-cell lymphocytosis
Published in
Blood, April 2018
DOI 10.1182/blood-2017-11-814608
Pubmed ID
Authors

Geffen Kleinstern, Nicola J Camp, Lynn R Goldin, Celine M Vachon, Claire M Vajdic, Silvia de Sanjose, J Brice Weinberg, Yolanda Benavente, Delphine Casabonne, Mark Liebow, Alexandra Nieters, Henrik Hjalgrim, Mads Melbye, Bengt Glimelius, Hans-Olov Adami, Paolo Boffetta, Paul Brennan, Marc Maynadie, James McKay, Pier Luigi Cocco, Tait D Shanafelt, Timothy G Call, Aaron D Norman, Curtis Hanson, Dennis Robinson, Kari G Chaffee, Angela R Brooks-Wilson, Alain Monnereau, Jacqueline Clavel, Martha Glenn, Karen Curtin, Lucia Conde, Paige M Bracci, Lindsay M Morton, Wendy Cozen, Richard K Severson, Stephen J Chanock, John J Spinelli, James B Johnston, Nathaniel Rothman, Christine F Skibola, Jose F Leis, Neil E Kay, Karin E Smedby, Sonja I Berndt, James R Cerhan, Neil Caporaso, Susan L Slager

Abstract

Inherited loci have been found to be associated with risk of chronic lymphocytic leukemia (CLL). A combined polygenic risk score (PRS) of representative single nucleotide polymorphisms (SNPs) from these loci may improve risk prediction over individual SNPs. Herein, we evaluated the association of a PRS with CLL risk and its precursor, monoclonal B-cell lymphocytosis (MBL). We assessed its validity and discriminative ability in an independent sample and evaluated effect modification and confounding by family history (FH) of hematological cancers. For discovery, we pooled genotype data on 41 representative SNPs from 1,499 CLLs and 2,459 controls from the InterLymph Consortium. For validation, we utilized data from 1,267 controls from Mayo Clinic and 201 CLLs, 95 MBLs, and 144 controls with FH of CLL from the GEC Consortium. We used odds ratios (ORs) to estimate disease associations with PRS and c-statistics to assess discriminatory accuracy. In InterLymph, the continuous PRS was strongly associated with CLL risk (OR=2.49, P=4.4×10-94). We replicated these findings in the GEC Consortium and Mayo controls (OR=3.02, P=7.8x10-30) and observed high discrimination (c-statistic=0.78). When jointly modeled with FH, PRS retained its significance, along with FH status. Finally, we found a highly-significant association of the continuous PRS with MBL risk (OR=2.81, P=9.8×10-16). In conclusion, our validated PRS was strongly associated with CLL risk, adding information beyond FH. The PRS provides a means of identifying those individuals at greater risk for CLL as well as those at increased risk of MBL, a condition that has potential clinical impact beyond CLL.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Other 6 12%
Student > Master 6 12%
Researcher 5 10%
Professor 2 4%
Other 9 18%
Unknown 13 25%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Biochemistry, Genetics and Molecular Biology 7 14%
Unspecified 2 4%
Mathematics 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 12%
Unknown 19 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 27 September 2021.
All research outputs
#4,314,843
of 25,394,764 outputs
Outputs from Blood
#6,447
of 33,262 outputs
Outputs of similar age
#78,833
of 340,997 outputs
Outputs of similar age from Blood
#112
of 233 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,262 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 80% 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 340,997 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 233 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.