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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
2 X users
patent
2 patents
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1 Facebook page

Readers on

mendeley
207 Mendeley
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4 CiteULike
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Article details
Title
A Genome-Wide Association Meta-Analysis of Circulating Sex Hormone–Binding Globulin Reveals Multiple Loci Implicated in Sex Steroid Hormone Regulation
Published in
PLoS Genetics, July 2012
DOI 10.1371/journal.pgen.1002805
Pubmed ID
Authors

Andrea D. Coviello, Robin Haring, Melissa Wellons, Dhananjay Vaidya, Terho Lehtimäki, Sarah Keildson, Kathryn L. Lunetta, Chunyan He, Myriam Fornage, Vasiliki Lagou, Massimo Mangino, N. Charlotte Onland-Moret, Brian Chen, Joel Eriksson, Melissa Garcia, Yong Mei Liu, Annemarie Koster, Kurt Lohman, Leo-Pekka Lyytikäinen, Ann-Kristin Petersen, Jennifer Prescott, Lisette Stolk, Liesbeth Vandenput, Andrew R. Wood, Wei Vivian Zhuang, Aimo Ruokonen, Anna-Liisa Hartikainen, Anneli Pouta, Stefania Bandinelli, Reiner Biffar, Georg Brabant, David G. Cox, Yuhui Chen, Steven Cummings, Luigi Ferrucci, Marc J. Gunter, Susan E. Hankinson, Hannu Martikainen, Albert Hofman, Georg Homuth, Thomas Illig, John-Olov Jansson, Andrew D. Johnson, David Karasik, Magnus Karlsson, Johannes Kettunen, Douglas P. Kiel, Peter Kraft, Jingmin Liu, Östen Ljunggren, Mattias Lorentzon, Marcello Maggio, Marcello R. P. Markus, Dan Mellström, Iva Miljkovic, Daniel Mirel, Sarah Nelson, Laure Morin Papunen, Petra H. M. Peeters, Inga Prokopenko, Leslie Raffel, Martin Reincke, Alex P. Reiner, Kathryn Rexrode, Fernando Rivadeneira, Stephen M. Schwartz, David Siscovick, Nicole Soranzo, Doris Stöckl, Shelley Tworoger, André G. Uitterlinden, Carla H. van Gils, Ramachandran S. Vasan, H.-Erich Wichmann, Guangju Zhai, Shalender Bhasin, Martin Bidlingmaier, Stephen J. Chanock, Immaculata De Vivo, Tamara B. Harris, David J. Hunter, Mika Kähönen, Simin Liu, Pamela Ouyang, Tim D. Spector, Yvonne T. van der Schouw, Jorma Viikari, Henri Wallaschofski, Mark I. McCarthy, Timothy M. Frayling, Anna Murray, Steve Franks, Marjo-Riitta Järvelin, Frank H. de Jong, Olli Raitakari, Alexander Teumer, Claes Ohlsson, Joanne M. Murabito, John R. B. Perry

Abstract

Sex hormone-binding globulin (SHBG) is a glycoprotein responsible for the transport and biologic availability of sex steroid hormones, primarily testosterone and estradiol. SHBG has been associated with chronic diseases including type 2 diabetes (T2D) and with hormone-sensitive cancers such as breast and prostate cancer. We performed a genome-wide association study (GWAS) meta-analysis of 21,791 individuals from 10 epidemiologic studies and validated these findings in 7,046 individuals in an additional six studies. We identified twelve genomic regions (SNPs) associated with circulating SHBG concentrations. Loci near the identified SNPs included SHBG (rs12150660, 17p13.1, p = 1.8 × 10(-106)), PRMT6 (rs17496332, 1p13.3, p = 1.4 × 10(-11)), GCKR (rs780093, 2p23.3, p = 2.2 × 10(-16)), ZBTB10 (rs440837, 8q21.13, p = 3.4 × 10(-09)), JMJD1C (rs7910927, 10q21.3, p = 6.1 × 10(-35)), SLCO1B1 (rs4149056, 12p12.1, p = 1.9 × 10(-08)), NR2F2 (rs8023580, 15q26.2, p = 8.3 × 10(-12)), ZNF652 (rs2411984, 17q21.32, p = 3.5 × 10(-14)), TDGF3 (rs1573036, Xq22.3, p = 4.1 × 10(-14)), LHCGR (rs10454142, 2p16.3, p = 1.3 × 10(-07)), BAIAP2L1 (rs3779195, 7q21.3, p = 2.7 × 10(-08)), and UGT2B15 (rs293428, 4q13.2, p = 5.5 × 10(-06)). These genes encompass multiple biologic pathways, including hepatic function, lipid metabolism, carbohydrate metabolism and T2D, androgen and estrogen receptor function, epigenetic effects, and the biology of sex steroid hormone-responsive cancers including breast and prostate cancer. We found evidence of sex-differentiated genetic influences on SHBG. In a sex-specific GWAS, the loci 4q13.2-UGT2B15 was significant in men only (men p = 2.5 × 10(-08), women p = 0.66, heterogeneity p = 0.003). Additionally, three loci showed strong sex-differentiated effects: 17p13.1-SHBG and Xq22.3-TDGF3 were stronger in men, whereas 8q21.12-ZBTB10 was stronger in women. Conditional analyses identified additional signals at the SHBG gene that together almost double the proportion of variance explained at the locus. Using an independent study of 1,129 individuals, all SNPs identified in the overall or sex-differentiated or conditional analyses explained ~15.6% and ~8.4% of the genetic variation of SHBG concentrations in men and women, respectively. The evidence for sex-differentiated effects and allelic heterogeneity highlight the importance of considering these features when estimating complex trait variance.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Unknown 203 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 47 23%
Student > Ph. D. Student 33 16%
Student > Master 26 13%
Student > Bachelor 18 9%
Professor 13 6%
Other 34 16%
Unknown 36 17%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 46 22%
Agricultural and Biological Sciences 39 19%
Biochemistry, Genetics and Molecular Biology 36 17%
Psychology 7 3%
Nursing and Health Professions 5 2%
Other 26 13%
Unknown 48 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 23 June 2020.
All research outputs
#6,423,184
of 33,276,949 outputs
Outputs from PLoS Genetics
#3,855
of 9,758 outputs
Outputs of similar age
#39,660
of 206,130 outputs
Outputs of similar age from PLoS Genetics
#54
of 188 outputs
Altmetric has tracked 33,276,949 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,758 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.8. This one has gotten more attention than average, scoring higher than 59% 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 206,130 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 80% of its contemporaries.
We're also able to compare this research output to 188 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 70% of its contemporaries.