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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome
|
|---|---|
| Published in |
Nature Communications, June 2016
|
| DOI | 10.1038/ncomms11843 |
| Pubmed ID | |
| Authors |
Mitchell J. Machiela, Weiyin Zhou, Eric Karlins, Joshua N. Sampson, Neal D. Freedman, Qi Yang, Belynda Hicks, Casey Dagnall, Christopher Hautman, Kevin B. Jacobs, Christian C. Abnet, Melinda C. Aldrich, Christopher Amos, Laufey T. Amundadottir, Alan A. Arslan, Laura E. Beane-Freeman, Sonja I. Berndt, Amanda Black, William J. Blot, Cathryn H. Bock, Paige M. Bracci, Louise A. Brinton, H Bas Bueno-de-Mesquita, Laurie Burdett, Julie E. Buring, Mary A. Butler, Federico Canzian, Tania Carreón, Kari G. Chaffee, I-Shou Chang, Nilanjan Chatterjee, Chu Chen, Constance Chen, Kexin Chen, Charles C. Chung, Linda S. Cook, Marta Crous Bou, Michael Cullen, Faith G. Davis, Immaculata De Vivo, Ti Ding, Jennifer Doherty, Eric J. Duell, Caroline G. Epstein, Jin-Hu Fan, Jonine D. Figueroa, Joseph F. Fraumeni, Christine M. Friedenreich, Charles S. Fuchs, Steven Gallinger, Yu-Tang Gao, Susan M. Gapstur, Montserrat Garcia-Closas, Mia M. Gaudet, J. Michael Gaziano, Graham G. Giles, Elizabeth M. Gillanders, Edward L. Giovannucci, Lynn Goldin, Alisa M. Goldstein, Christopher A. Haiman, Goran Hallmans, Susan E. Hankinson, Curtis C. Harris, Roger Henriksson, Elizabeth A. Holly, Yun-Chul Hong, Robert N. Hoover, Chao A. Hsiung, Nan Hu, Wei Hu, David J. Hunter, Amy Hutchinson, Mazda Jenab, Christoffer Johansen, Kay-Tee Khaw, Hee Nam Kim, Yeul Hong Kim, Young Tae Kim, Alison P. Klein, Robert Klein, Woon-Puay Koh, Laurence N. Kolonel, Charles Kooperberg, Peter Kraft, Vittorio Krogh, Robert C. Kurtz, Andrea LaCroix, Qing Lan, Maria Teresa Landi, Loic Le Marchand, Donghui Li, Xiaolin Liang, Linda M. Liao, Dongxin Lin, Jianjun Liu, Jolanta Lissowska, Lingeng Lu, Anthony M. Magliocco, Nuria Malats, Keitaro Matsuo, Lorna H. McNeill, Robert R. McWilliams, Beatrice S. Melin, Lisa Mirabello, Lee Moore, Sara H. Olson, Irene Orlow, Jae Yong Park, Ana Patiño-Garcia, Beata Peplonska, Ulrike Peters, Gloria M. Petersen, Loreall Pooler, Jennifer Prescott, Ludmila Prokunina-Olsson, Mark P. Purdue, You-Lin Qiao, Preetha Rajaraman, Francisco X. Real, Elio Riboli, Harvey A. Risch, Benjamin Rodriguez-Santiago, Avima M. Ruder, Sharon A. Savage, Fredrick Schumacher, Ann G. Schwartz, Kendra L. Schwartz, Adeline Seow, Veronica Wendy Setiawan, Gianluca Severi, Hongbing Shen, Xin Sheng, Min-Ho Shin, Xiao-Ou Shu, Debra T. Silverman, Margaret R. Spitz, Victoria L. Stevens, Rachael Stolzenberg-Solomon, Daniel Stram, Ze-Zhong Tang, Philip R. Taylor, Lauren R. Teras, Geoffrey S. Tobias, David Van Den Berg, Kala Visvanathan, Sholom Wacholder, Jiu-Cun Wang, Zhaoming Wang, Nicolas Wentzensen, William Wheeler, Emily White, John K. Wiencke, Brian M. Wolpin, Maria Pik Wong, Chen Wu, Tangchun Wu, Xifeng Wu, Yi-Long Wu, Jay S. Wunder, Lucy Xia, Hannah P. Yang, Pan-Chyr Yang, Kai Yu, Krista A. Zanetti, Anne Zeleniuch-Jacquotte, Wei Zheng, Baosen Zhou, Regina G. Ziegler, Luis A. Perez-Jurado, Neil E. Caporaso, Nathaniel Rothman, Margaret Tucker, Michael C. Dean, Meredith Yeager, Stephen J. Chanock |
| Abstract |
To investigate large structural clonal mosaicism of chromosome X, we analysed the SNP microarray intensity data of 38,303 women from cancer genome-wide association studies (20,878 cases and 17,425 controls) and detected 124 mosaic X events >2 Mb in 97 (0.25%) women. Here we show rates for X-chromosome mosaicism are four times higher than mean autosomal rates; X mosaic events more often include the entire chromosome and participants with X events more likely harbour autosomal mosaic events. X mosaicism frequency increases with age (0.11% in 50-year olds; 0.45% in 75-year olds), as reported for Y and autosomes. Methylation array analyses of 33 women with X mosaicism indicate events preferentially involve the inactive X chromosome. Our results provide further evidence that the sex chromosomes undergo mosaic events more frequently than autosomes, which could have implications for understanding the underlying mechanisms of mosaic events and their possible contribution to risk for chronic diseases. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 31% |
| Japan | 1 | 6% |
| Venezuela, Bolivarian Republic of | 1 | 6% |
| Russia | 1 | 6% |
| Brazil | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Scientists | 3 | 19% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 197 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 20% |
| Researcher | 29 | 15% |
| Student > Master | 23 | 12% |
| Professor | 14 | 7% |
| Student > Bachelor | 11 | 6% |
| Other | 30 | 15% |
| Unknown | 51 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 55 | 28% |
| Medicine and Dentistry | 32 | 16% |
| Agricultural and Biological Sciences | 19 | 10% |
| Social Sciences | 5 | 3% |
| Nursing and Health Professions | 4 | 2% |
| Other | 19 | 10% |
| Unknown | 63 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 11 July 2023.
All research outputs
#2,758,429
of 25,196,456 outputs
Outputs from Nature Communications
#30,454
of 55,696 outputs
Outputs of similar age
#48,197
of 361,354 outputs
Outputs of similar age from Nature Communications
#404
of 785 outputs
Altmetric has tracked 25,196,456 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 55,696 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.9. This one is in the 45th percentile – i.e., 45% 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 361,354 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 86% of its contemporaries.
We're also able to compare this research output to 785 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.