Evidence map›Paper›PMID 37333377›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Searching and visualizing genetic associations of pregnancy traits by using GnuMoM2b.

Qi Yan, Rafael F Guerrero, Raiyan R Khan, Andy A Surujnarine, Ronald J Wapner, Matthew W Hahn, Anita Raja, Ansaf SallebAouissi, William A Grobman, Hyagriv Simhan and 7 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 11 institutions in 1 country.

Rafael F GuerreroORCID 0000-0002-8451-3609
Raiyan R Khan
Andy A Surujnarine
Ronald J Wapner
Matthew W Hahn
Ansaf SallebAouissiORCID 0000-0001-9858-905X
William A Grobman
Hyagriv Simhan
Robert Silver
Judith H Chung
Uma M Reddy
Predrag RadivojacORCID 0000-0002-6769-0793
Itsik Pe'er
Columbia University Irving Medical Center · USColumbia University · USUniversity of Utah · USHunter College · USIndiana University Bloomington · USIndiana University – Purdue University Indianapolis · USNorth Carolina State University · USNortheastern University · USThe Ohio State University · USUniversity of California, Irvine · USUniversity of Pittsburgh · US

Funding

SCH: Prediction of Preterm Birth in Nulliparous WomenR01LM013327 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI FRIEDMAN, ALEXANDER M, PE'ER, ITSHACK G · 2019 to 2022
$1.2M
NLM NIH HHS R01 LM013327
6 · The paper itself

Abstract

Adverse pregnancy outcomes (APOs) are major risk factors for women's health during pregnancy and even in the years after pregnancy. Due to the heterogeneity of APOs, only few genetic associations have been identified. In this report, we conducted genome-wide association studies (GWAS) of 479 traits that are possibly related to APOs using a large and racially diverse study, Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b). To display the extensive results, we developed a web-based tool GnuMoM2b ( https://gnumom2b.cumcobgyn.org/ ) for searching, visualizing, and sharing results from GWAS of 479 pregnancy traits as well as phenome-wide association studies (PheWAS) of more than 17 million single nucleotide polymorphisms (SNPs). The genetic results from three ancestries (Europeans, Africans, and Admixed Americans) and meta-analyses are populated in GnuMoM2b. In conclusion, GnuMoM2b is a valuable resource for extraction of pregnancy-related genetic results and shows the potential to facilitate meaningful discoveries.

Identifiers

PMID37333377
PMCPMC10274999
OpenAlexW4379374007

What OpenQuestion holds

Textmetadata
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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.