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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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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 13%
Student > Bachelor 9 9%
Other 8 8%
Student > Master 8 8%
Researcher 7 7%
Other 18 18%
Unknown 39 38%
Readers by discipline Count As %
Medicine and Dentistry 21 21%
Biochemistry, Genetics and Molecular Biology 13 13%
Agricultural and Biological Sciences 10 10%
Engineering 6 6%
Nursing and Health Professions 3 3%
Other 11 11%
Unknown 38 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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
#3,250,414
of 25,013,458 outputs
Outputs from Scientific Reports
#27,685
of 137,132 outputs
Outputs of similar age
#70,353
of 455,145 outputs
Outputs of similar age from Scientific Reports
#831
of 4,092 outputs
Altmetric has tracked 25,013,458 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 137,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done well, scoring higher than 79% 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 455,145 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 84% of its contemporaries.
We're also able to compare this research output to 4,092 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.