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Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes

Overview of attention for article published in Human Molecular Genetics, February 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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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1 news outlet
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2 X users

Citations

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53 Dimensions

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113 Mendeley
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Title
Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes
Published in
Human Molecular Genetics, February 2016
DOI 10.1093/hmg/ddw027
Pubmed ID
Authors

Mitchell J Machiela, Qing Lan, Susan L Slager, Roel C H Vermeulen, Lauren R Teras, Nicola J Camp, James R Cerhan, John J Spinelli, Sophia S Wang, Alexandra Nieters, Joseph Vijai, Meredith Yeager, Zhaoming Wang, Hervé Ghesquières, James McKay, Lucia Conde, Paul I W de Bakker, David G Cox, Laurie Burdett, Alain Monnereau, Christopher R Flowers, Anneclaire J De Roos, Angela R Brooks-Wilson, Graham G Giles, Mads Melbye, Jian Gu, Rebecca D Jackson, Eleanor Kane, Mark P Purdue, Claire M Vajdic, Demetrius Albanes, Rachel S Kelly, Mariagrazia Zucca, Kimberly A Bertrand, Anne Zeleniuch-Jacquotte, Charles Lawrence, Amy Hutchinson, Degui Zhi, Thomas M Habermann, Brian K Link, Anne J Novak, Ahmet Dogan, Yan W Asmann, Mark Liebow, Carrie A Thompson, Stephen M Ansell, Thomas E Witzig, Hervé Tilly, Corinne Haioun, Thierry J Molina, Henrik Hjalgrim, Bengt Glimelius, Hans-Olov Adami, Göran Roos, Paige M Bracci, Jacques Riby, Martyn T Smith, Elizabeth A Holly, Wendy Cozen, Patricia Hartge, Lindsay M Morton, Richard K Severson, Lesley F Tinker, Kari E North, Nikolaus Becker, Yolanda Benavente, Paolo Boffetta, Paul Brennan, Lenka Foretova, Marc Maynadie, Anthony Staines, Tracy Lightfoot, Simon Crouch, Alex Smith, Eve Roman, W Ryan Diver, Kenneth Offit, Andrew Zelenetz, Robert J Klein, Danylo J Villano, Tongzhang Zheng, Yawei Zhang, Theodore R Holford, Jenny Turner, Melissa C Southey, Jacqueline Clavel, Jarmo Virtamo, Stephanie Weinstein, Elio Riboli, Paolo Vineis, Rudolph Kaaks, Heiner Boeing, Anne Tjønneland, Emanuele Angelucci, Simonetta Di Lollo, Marco Rais, Immaculata De Vivo, Edward Giovannucci, Peter Kraft, Jinyan Huang, Baoshan Ma, Yuanqing Ye, Brian C H Chiu, Liming Liang, Ju-Hyun Park, Charles C Chung, Dennis D Weisenburger, Joseph F Fraumeni, Gilles Salles, Martha Glenn, Lisa Cannon-Albright, Karen Curtin, Xifeng Wu, Karin E Smedby, Silvia de Sanjose, Christine F Skibola, Sonja I Berndt, Brenda M Birmann, Stephen J Chanock, Nathaniel Rothman

Abstract

Evidence from a small number of studies suggests that longer telomere length measured in peripheral leukocytes is associated with an increased risk of non-Hodgkin lymphoma (NHL). However, these studies may be biased by reverse causation, confounded by unmeasured environmental exposures and might miss time points for which prospective telomere measurement would best reveal a relationship between telomere length and NHL risk. We performed an analysis of genetically inferred telomere length and NHL risk in a study of 10 102 NHL cases of the four most common B-cell histologic types and 9562 controls using a genetic risk score (GRS) comprising nine telomere length-associated single-nucleotide polymorphisms. This approach uses existing genotype data and estimates telomere length by weighing the number of telomere length-associated variant alleles an individual carries with the published change in kb of telomere length. The analysis of the telomere length GRS resulted in an association between longer telomere length and increased NHL risk [four B-cell histologic types combined; odds ratio (OR) = 1.49, 95% CI 1.22-1.82,P-value = 8.5 × 10(-5)]. Subtype-specific analyses indicated that chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL) was the principal NHL subtype contributing to this association (OR = 2.60, 95% CI 1.93-3.51,P-value = 4.0 × 10(-10)). Significant interactions were observed across strata of sex for CLL/SLL and marginal zone lymphoma subtypes as well as age for the follicular lymphoma subtype. Our results indicate that a genetic background that favors longer telomere length may increase NHL risk, particularly risk of CLL/SLL, and are consistent with earlier studies relating longer telomere length with increased NHL risk.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Netherlands 1 <1%
Unknown 109 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 22%
Student > Ph. D. Student 17 15%
Student > Bachelor 11 10%
Student > Master 10 9%
Professor 9 8%
Other 20 18%
Unknown 21 19%
Readers by discipline Count As %
Medicine and Dentistry 30 27%
Biochemistry, Genetics and Molecular Biology 16 14%
Agricultural and Biological Sciences 12 11%
Nursing and Health Professions 6 5%
Psychology 4 4%
Other 14 12%
Unknown 31 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 02 May 2019.
All research outputs
#2,823,082
of 23,577,654 outputs
Outputs from Human Molecular Genetics
#1,004
of 8,087 outputs
Outputs of similar age
#51,365
of 403,546 outputs
Outputs of similar age from Human Molecular Genetics
#38
of 115 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,087 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 87% 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 403,546 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 87% of its contemporaries.
We're also able to compare this research output to 115 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 65% of its contemporaries.