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Discovery and Fine Mapping of Serum Protein Loci through Transethnic Meta-analysis

Overview of attention for article published in American Journal of Human Genetics, September 2012
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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 (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Readers on

mendeley
128 Mendeley
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Article details
Title
Discovery and Fine Mapping of Serum Protein Loci through Transethnic Meta-analysis
Published in
American Journal of Human Genetics, September 2012
DOI 10.1016/j.ajhg.2012.08.021
Pubmed ID
Authors

Nora Franceschini, Frank J.A. van Rooij, Bram P. Prins, Mary F. Feitosa, Mahir Karakas, John H. Eckfeldt, Aaron R. Folsom, Jeffrey Kopp, Ahmad Vaez, Jeanette S. Andrews, Jens Baumert, Vesna Boraska, Linda Broer, Caroline Hayward, Julius S. Ngwa, Yukinori Okada, Ozren Polasek, Harm-Jan Westra, Ying A. Wang, Fabiola Del Greco M., Nicole L. Glazer, Karen Kapur, Ido P. Kema, Lorna M. Lopez, Arne Schillert, Albert V. Smith, Cheryl A. Winkler, Lina Zgaga, The LifeLines Cohort Study, Stefania Bandinelli, Sven Bergmann, Mladen Boban, Murielle Bochud, Y.D. Chen, Gail Davies, Abbas Dehghan, Jingzhong Ding, Angela Doering, J. Peter Durda, Luigi Ferrucci, Oscar H. Franco, Lude Franke, Grog Gunjaca, Albert Hofman, Fang-Chi Hsu, Ivana Kolcic, Aldi Kraja, Michiaki Kubo, Karl J. Lackner, Lenore Launer, Laura R. Loehr, Guo Li, Christa Meisinger, Yusuke Nakamura, Christine Schwienbacher, John M. Starr, Atsushi Takahashi, Vesela Torlak, André G. Uitterlinden, Veronique Vitart, Melanie Waldenberger, Philipp S. Wild, Mirna Kirin, Tanja Zeller, Tatijana Zemunik, Qunyuan Zhang, Andreas Ziegler, Stefan Blankenberg, Eric Boerwinkle, Ingrid B. Borecki, Harry Campbell, Ian J. Deary, Timothy M. Frayling, Christian Gieger, Tamara B. Harris, Andrew A. Hicks, Wolfgang Koenig, Christopher J. O’Donnell, Caroline S. Fox, Peter P. Pramstaller, Bruce M. Psaty, Alex P. Reiner, Jerome I. Rotter, Igor Rudan, Harold Snieder, Toshihiro Tanaka, Cornelia M. van Duijn, Peter Vollenweider, Gerard Waeber, James F. Wilson, Jacqueline C.M. Witteman, Bruce H.R. Wolffenbuttel, Alan F. Wright, Qingyu Wu, Yongmei Liu, Nancy S. Jenny, Kari E. North, Janine F. Felix, Behrooz Z. Alizadeh, L. Adrienne Cupples, John R.B. Perry, Andrew P. Morris

Abstract

Many disorders are associated with altered serum protein concentrations, including malnutrition, cancer, and cardiovascular, kidney, and inflammatory diseases. Although these protein concentrations are highly heritable, relatively little is known about their underlying genetic determinants. Through transethnic meta-analysis of European-ancestry and Japanese genome-wide association studies, we identified six loci at genome-wide significance (p < 5 × 10(-8)) for serum albumin (HPN-SCN1B, GCKR-FNDC4, SERPINF2-WDR81, TNFRSF11A-ZCCHC2, FRMD5-WDR76, and RPS11-FCGRT, in up to 53,190 European-ancestry and 9,380 Japanese individuals) and three loci for total protein (TNFRS13B, 6q21.3, and ELL2, in up to 25,539 European-ancestry and 10,168 Japanese individuals). We observed little evidence of heterogeneity in allelic effects at these loci between groups of European and Japanese ancestry but obtained substantial improvements in the resolution of fine mapping of potential causal variants by leveraging transethnic differences in the distribution of linkage disequilibrium. We demonstrated a functional role for the most strongly associated serum albumin locus, HPN, for which Hpn knockout mice manifest low plasma albumin concentrations. Other loci associated with serum albumin harbor genes related to ribosome function, protein translation, and proteasomal degradation, whereas those associated with serum total protein include genes related to immune function. Our results highlight the advantages of transethnic meta-analysis for the discovery and fine mapping of complex trait loci and have provided initial insights into the underlying genetic architecture of serum protein concentrations and their association with human disease.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 128 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 2 2%
United Kingdom 2 2%
India 1 <1%
Canada 1 <1%
Unknown 122 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 27 21%
Student > Ph. D. Student 22 17%
Other 11 9%
Student > Doctoral Student 10 8%
Student > Bachelor 8 6%
Other 28 22%
Unknown 22 17%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 31 24%
Medicine and Dentistry 30 23%
Biochemistry, Genetics and Molecular Biology 24 19%
Computer Science 5 4%
Mathematics 3 2%
Other 10 8%
Unknown 25 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 January 2024.
All research outputs
#6,150,358
of 34,601,305 outputs
Outputs from American Journal of Human Genetics
#3,110
of 7,845 outputs
Outputs of similar age
#41,206
of 229,414 outputs
Outputs of similar age from American Journal of Human Genetics
#24
of 59 outputs
Altmetric has tracked 34,601,305 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,845 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.7. 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 229,414 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 81% of its contemporaries.
We're also able to compare this research output to 59 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 57% of its contemporaries.