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A genome-wide association study identifies only two ancestry specific variants associated with spontaneous preterm birth

Overview of attention for article published in Scientific Reports, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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23 tweeters
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1 Facebook page

Citations

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9 Dimensions

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54 Mendeley
Title
A genome-wide association study identifies only two ancestry specific variants associated with spontaneous preterm birth
Published in
Scientific Reports, January 2018
DOI 10.1038/s41598-017-18246-5
Pubmed ID
Authors

Nadav Rappoport, Jonathan Toung, Dexter Hadley, Ronald J. Wong, Kazumichi Fujioka, Jason Reuter, Charles W. Abbott, Sam Oh, Donglei Hu, Celeste Eng, Scott Huntsman, Dale L. Bodian, John E. Niederhuber, Xiumei Hong, Ge Zhang, Weronika Sikora-Wohfeld, Christopher R. Gignoux, Hui Wang, John Oehlert, Laura L. Jelliffe-Pawlowski, Jeffrey B. Gould, Gary L. Darmstadt, Xiaobin Wang, Carlos D. Bustamante, Michael P. Snyder, Elad Ziv, Nikolaos A. Patsopoulos, Louis J. Muglia, Esteban Burchard, Gary M. Shaw, Hugh M. O’Brodovich, David K. Stevenson, Atul J. Butte, Marina Sirota

Abstract

Preterm birth (PTB), or the delivery prior to 37 weeks of gestation, is a significant cause of infant morbidity and mortality. Although twin studies estimate that maternal genetic contributions account for approximately 30% of the incidence of PTB, and other studies reported fetal gene polymorphism association, to date no consistent associations have been identified. In this study, we performed the largest reported genome-wide association study analysis on 1,349 cases of PTB and 12,595 ancestry-matched controls from the focusing on genomic fetal signals. We tested over 2 million single nucleotide polymorphisms (SNPs) for associations with PTB across five subpopulations: African (AFR), the Americas (AMR), European, South Asian, and East Asian. We identified only two intergenic loci associated with PTB at a genome-wide level of significance: rs17591250 (P = 4.55E-09) on chromosome 1 in the AFR population and rs1979081 (P = 3.72E-08) on chromosome 8 in the AMR group. We have queried several existing replication cohorts and found no support of these associations. We conclude that the fetal genetic contribution to PTB is unlikely due to single common genetic variant, but could be explained by interactions of multiple common variants, or of rare variants affected by environmental influences, all not detectable using a GWAS alone.

Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 17 31%
Student > Ph. D. Student 7 13%
Professor > Associate Professor 6 11%
Other 5 9%
Researcher 5 9%
Other 14 26%
Readers by discipline Count As %
Unspecified 16 30%
Medicine and Dentistry 10 19%
Biochemistry, Genetics and Molecular Biology 10 19%
Agricultural and Biological Sciences 8 15%
Engineering 4 7%
Other 6 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 04 January 2019.
All research outputs
#1,105,979
of 13,177,477 outputs
Outputs from Scientific Reports
#9,676
of 62,918 outputs
Outputs of similar age
#49,415
of 383,146 outputs
Outputs of similar age from Scientific Reports
#1,872
of 12,961 outputs
Altmetric has tracked 13,177,477 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 62,918 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 84% 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 383,146 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 12,961 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.