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A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

Overview of attention for article published in American Journal of Human Genetics, February 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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18 news outlets
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1 blog
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67 X users
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3 Facebook pages

Citations

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110 Dimensions

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379 Mendeley
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1 CiteULike
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Title
A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure
Published in
American Journal of Human Genetics, February 2018
DOI 10.1016/j.ajhg.2018.01.015
Pubmed ID
Authors

Yun J. Sung, Thomas W. Winkler, Lisa de las Fuentes, Amy R. Bentley, Michael R. Brown, Aldi T. Kraja, Karen Schwander, Ioanna Ntalla, Xiuqing Guo, Nora Franceschini, Yingchang Lu, Ching-Yu Cheng, Xueling Sim, Dina Vojinovic, Jonathan Marten, Solomon K. Musani, Changwei Li, Mary F. Feitosa, Tuomas O. Kilpeläinen, Melissa A. Richard, Raymond Noordam, Stella Aslibekyan, Hugues Aschard, Traci M. Bartz, Rajkumar Dorajoo, Yongmei Liu, Alisa K. Manning, Tuomo Rankinen, Albert Vernon Smith, Salman M. Tajuddin, Bamidele O. Tayo, Helen R. Warren, Wei Zhao, Yanhua Zhou, Nana Matoba, Tamar Sofer, Maris Alver, Marzyeh Amini, Mathilde Boissel, Jin Fang Chai, Xu Chen, Jasmin Divers, Ilaria Gandin, Chuan Gao, Franco Giulianini, Anuj Goel, Sarah E. Harris, Fernando Pires Hartwig, Andrea R.V.R. Horimoto, Fang-Chi Hsu, Anne U. Jackson, Mika Kähönen, Anuradhani Kasturiratne, Brigitte Kühnel, Karin Leander, Wen-Jane Lee, Keng-Hung Lin, Jian ’an Luan, Colin A. McKenzie, He Meian, Christopher P. Nelson, Rainer Rauramaa, Nicole Schupf, Robert A. Scott, Wayne H.H. Sheu, Alena Stančáková, Fumihiko Takeuchi, Peter J. van der Most, Tibor V. Varga, Heming Wang, Yajuan Wang, Erin B. Ware, Stefan Weiss, Wanqing Wen, Lisa R. Yanek, Weihua Zhang, Jing Hua Zhao, Saima Afaq, Tamuno Alfred, Najaf Amin, Dan Arking, Tin Aung, R. Graham Barr, Lawrence F. Bielak, Eric Boerwinkle, Erwin P. Bottinger, Peter S. Braund, Jennifer A. Brody, Ulrich Broeckel, Claudia P. Cabrera, Brian Cade, Yu Caizheng, Archie Campbell, Mickaël Canouil, Aravinda Chakravarti, The CHARGE Neurology Working Group, Ganesh Chauhan, Kaare Christensen, Massimiliano Cocca, The COGENT-Kidney Consortium, Francis S. Collins, John M. Connell, Renée de Mutsert, H. Janaka de Silva, Stephanie Debette, Marcus Dörr, Qing Duan, Charles B. Eaton, Georg Ehret, Evangelos Evangelou, Jessica D. Faul, Virginia A. Fisher, Nita G. Forouhi, Oscar H. Franco, Yechiel Friedlander, He Gao, The GIANT Consortium, Bruna Gigante, Misa Graff, C. Charles Gu, Dongfeng Gu, Preeti Gupta, Saskia P. Hagenaars, Tamara B. Harris, Jiang He, Sami Heikkinen, Chew-Kiat Heng, Makoto Hirata, Albert Hofman, Barbara V. Howard, Steven Hunt, Marguerite R. Irvin, Yucheng Jia, Roby Joehanes, Anne E. Justice, Tomohiro Katsuya, Joel Kaufman, Nicola D. Kerrison, Chiea Chuen Khor, Woon-Puay Koh, Heikki A. Koistinen, Pirjo Komulainen, Charles Kooperberg, Jose E. Krieger, Michiaki Kubo, Johanna Kuusisto, Carl D. Langefeld, Claudia Langenberg, Lenore J. Launer, Benjamin Lehne, Cora E. Lewis, Yize Li, Lifelines Cohort Study, Sing Hui Lim, Shiow Lin, Ching-Ti Liu, Jianjun Liu, Jingmin Liu, Kiang Liu, Yeheng Liu, Marie Loh, Kurt K. Lohman, Jirong Long, Tin Louie, Reedik Mägi, Anubha Mahajan, Thomas Meitinger, Andres Metspalu, Lili Milani, Yukihide Momozawa, Andrew P. Morris, Thomas H. Mosley, Peter Munson, Alison D. Murray, Mike A. Nalls, Ubaydah Nasri, Jill M. Norris, Kari North, Adesola Ogunniyi, Sandosh Padmanabhan, Walter R. Palmas, Nicholette D. Palmer, James S. Pankow, Nancy L. Pedersen, Annette Peters, Patricia A. Peyser, Ozren Polasek, Olli T. Raitakari, Frida Renström, Treva K. Rice, Paul M. Ridker, Antonietta Robino, Jennifer G. Robinson, Lynda M. Rose, Igor Rudan, Charumathi Sabanayagam, Babatunde L. Salako, Kevin Sandow, Carsten O. Schmidt, Pamela J. Schreiner, William R. Scott, Sudha Seshadri, Peter Sever, Colleen M. Sitlani, Jennifer A. Smith, Harold Snieder, John M. Starr, Konstantin Strauch, Hua Tang, Kent D. Taylor, Yik Ying Teo, Yih Chung Tham, André G. Uitterlinden, Melanie Waldenberger, Lihua Wang, Ya X. Wang, Wen Bin Wei, Christine Williams, Gregory Wilson, Mary K. Wojczynski, Jie Yao, Jian-Min Yuan, Alan B. Zonderman, Diane M. Becker, Michael Boehnke, Donald W. Bowden, John C. Chambers, Yii-Der Ida Chen, Ulf de Faire, Ian J. Deary, Tõnu Esko, Martin Farrall, Terrence Forrester, Paul W. Franks, Barry I. Freedman, Philippe Froguel, Paolo Gasparini, Christian Gieger, Bernardo Lessa Horta, Yi-Jen Hung, Jost B. Jonas, Norihiro Kato, Jaspal S. Kooner, Markku Laakso, Terho Lehtimäki, Kae-Woei Liang, Patrik K.E. Magnusson, Anne B. Newman, Albertine J. Oldehinkel, Alexandre C. Pereira, Susan Redline, Rainer Rettig, Nilesh J. Samani, James Scott, Xiao-Ou Shu, Pim van der Harst, Lynne E. Wagenknecht, Nicholas J. Wareham, Hugh Watkins, David R. Weir, Ananda R. Wickremasinghe, Tangchun Wu, Wei Zheng, Yoichiro Kamatani, Cathy C. Laurie, Claude Bouchard, Richard S. Cooper, Michele K. Evans, Vilmundur Gudnason, Sharon L.R. Kardia, Stephen B. Kritchevsky, Daniel Levy, Jeff R. O’Connell, Bruce M. Psaty, Rob M. van Dam, Mario Sims, Donna K. Arnett, Dennis O. Mook-Kanamori, Tanika N. Kelly, Ervin R. Fox, Caroline Hayward, Myriam Fornage, Charles N. Rotimi, Michael A. Province, Cornelia M. van Duijn, E. Shyong Tai, Tien Yin Wong, Ruth J.F. Loos, Alex P. Reiner, Jerome I. Rotter, Xiaofeng Zhu, Laura J. Bierut, W. James Gauderman, Mark J. Caulfield, Paul Elliott, Kenneth Rice, Patricia B. Munroe, Alanna C. Morrison, L. Adrienne Cupples, Dabeeru C. Rao, Daniel I. Chasman

Abstract

Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined ∼18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 × 10-8) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 × 10-8). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).

X Demographics

X Demographics

The data shown below were collected from the profiles of 67 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 379 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 379 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 60 16%
Student > Master 40 11%
Student > Ph. D. Student 31 8%
Student > Bachelor 31 8%
Professor 23 6%
Other 63 17%
Unknown 131 35%
Readers by discipline Count As %
Medicine and Dentistry 67 18%
Biochemistry, Genetics and Molecular Biology 35 9%
Nursing and Health Professions 24 6%
Agricultural and Biological Sciences 22 6%
Neuroscience 14 4%
Other 67 18%
Unknown 150 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 169. 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 12 December 2018.
All research outputs
#241,963
of 25,530,891 outputs
Outputs from American Journal of Human Genetics
#75
of 5,902 outputs
Outputs of similar age
#6,152
of 471,329 outputs
Outputs of similar age from American Journal of Human Genetics
#4
of 53 outputs
Altmetric has tracked 25,530,891 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,902 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 98% 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 471,329 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 98% of its contemporaries.
We're also able to compare this research output to 53 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 94% of its contemporaries.