Evidence map›Paper›PMID 24594138›Full record

ArticleAmerican journal of obstetrics and gynecology2014

Pharmacogenomics of 17-alpha hydroxyprogesterone caproate for recurrent preterm birth prevention.

Tracy A Manuck, W Scott Watkins, Barry Moore, M Sean Esplin, Michael W Varner, G Marc Jackson, Mark Yandell, Lynn Jorde

Open access · greenAbstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 28 citations in OpenAlex.

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  9. Translational Systems Pharmacology Studies in Pregnant Women.CPT: pharmacometrics & systems pharmacology · 2018
    Review
  10. Article
  11. Article
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  13. Pharmacogenomics of preterm birth prevention and treatment.BJOG : an international journal of obstetrics and gynaecology · 2016
    Review
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Tracy A ManuckDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Utah School of Medicine, Salt Lake City, UT.
W Scott WatkinsDepartment of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT.
Barry MooreDepartment of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT.
M Sean EsplinDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Utah School of Medicine, Salt Lake City, UT.
Michael W VarnerDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Utah School of Medicine, Salt Lake City, UT.
G Marc JacksonDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Utah School of Medicine, Salt Lake City, UT.
Mark YandellDepartment of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT.
Lynn JordeDepartment of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT.
University of Utah · USIntermountain Healthcare · US

Funding

University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
University of Utah Center for Clinical and Translational Science-UL1UL1TR000105 · NCATS · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2012 to 2013
$5.1M
VAAST+: Tool for variant prioritization, risk assessment and disease-gene findingR01GM104390 · NIGMS · UNIVERSITY OF UTAH · PI JORDE, LYNN, YANDELL, MARK DOUGLAS · 2013 to 2017
$2.2M
University of Utah Center for clinical and Translational ScienceKL2TR001065 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$1.1M
Pharmacogenomics of Preterm Birth Prevention and TreatmentK23HD067224 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MANUCK, TRACY A. · 2011 to 2015
$661k
NCATS NIH HHS 8UL1TR000105NCATS NIH HHS KL2 TR001065NCATS NIH HHS UL1 TR001067NICHD NIH HHS 1K23HD067224NICHD NIH HHS K23 HD067224NIGMS NIH HHS R01 GM104390
6 · The paper itself

Abstract

objectiveWe hypothesized that genetic variation affects responsiveness to 17-alpha hydroxyprogesterone caproate (17P) for recurrent preterm birth prevention. STUDY

designWomen of European ancestry with ≥1 spontaneous singleton preterm birth at <34 weeks' gestation who received 17P were recruited prospectively and classified as a 17P responder or nonresponder by the difference in delivery gestational age between 17P-treated and -untreated pregnancies. Samples underwent whole exome sequencing. Coding variants were compared between responders and nonresponders with the use of the Variant Annotation, Analysis, and Search Tool (VAAST), which is a probabilistic search tool for the identification of disease-causing variants, and were compared with a Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway candidate gene list. Genes with the highest VAAST scores were then classified by the online Protein ANalysis THrough Evolutionary Relationships (PANTHER) system into known gene ontology molecular functions and biologic processes. Gene distributions within these classifications were compared with an online reference population to identify over- and under- represented gene sets.

resultsFifty women (9 nonresponders) were included. Responders delivered 9.2 weeks longer with 17P vs 1.3 weeks' gestation for nonresponders (P < .001). A genome-wide search for genetic differences implicated the NOS1 gene to be the most likely associated gene from among genes on the KEGG candidate gene list (P < .00095). PANTHER analysis revealed several over-represented gene ontology categories that included cell adhesion, cell communication, signal transduction, nitric oxide signal transduction, and receptor activity (all with significant Bonferroni-corrected probability values).

conclusionWe identified sets of over-represented genes in key processes among responders to 17P, which is the first step in the application of pharmacogenomics to preterm birth prevention.

Indexed as

17 alpha-Hydroxyprogesterone CaproateCase-Control StudiesEstrogen AntagonistsExomeFemaleGenetic VariationHumansHydroxyprogesteronesNitric Oxide SynthaseNitric Oxide Synthase Type IPharmacogeneticsPregnancyPremature BirthProspective StudiesSecondary PreventionSequence Analysis, DNA17 alpha-Hydroxyprogesterone CaproateEstrogen AntagonistsHydroxyprogesteronesNitric Oxide SynthaseNitric Oxide Synthase Type INOS1 protein, humanpharmacogenomicsprogesteronespontaneous preterm birth

Identifiers

PMID24594138
PMCPMC4266558
OpenAlexW2076762088

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.