Evidence map›Paper›PMID 36143166›Full record

ArticleJournal of personalized medicine2022

Polygenic Risk Score and Risk Factors for Gestational Diabetes.

Marija Majda Perišić, Klemo Vladimir, Sarah Karpov, Mario Štorga, Ali Mostashari, Raya Khanin

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Integrating Polygenic Risk Scores (PRS) for Personalized Diabetes Care: Advancing Clinical Practice with Tailored Pharmacological Approaches.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Review
  6. The future of diagnosis in clinical neurosciences: Comparing multiple sclerosis and schizophrenia.European psychiatry : the journal of the Association of European Psychiatrists · 2023
    Review
  7. Genetics of diabetes.World journal of diabetes · 2023
    Review
  8. Review
  9. Article
  10. Review
  11. 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

6 authors.

Marija Majda PerišićFaculty of Mechanical Engineering and Naval Architecture, University of Zagreb, 10000 Zagreb, Croatia.
Klemo VladimirLifeNome Inc., New York, NY 10018, USA.
Sarah KarpovLifeNome Inc., New York, NY 10018, USA.
Mario ŠtorgaFaculty of Mechanical Engineering and Naval Architecture, University of Zagreb, 10000 Zagreb, Croatia.
Ali MostashariLifeNome Inc., New York, NY 10018, USA.
Raya KhaninLifeNome Inc., New York, NY 10018, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) is a common complication of pregnancy that adversely affects maternal and offspring health. A variety of risk factors, such as BMI and age, have been associated with increased risks of gestational diabetes. However, in many cases, gestational diabetes occurs in healthy nulliparous women with no obvious risk factors. Emerging data suggest that the tendency to develop gestational diabetes has genetic and environmental components. Here we develop a polygenic risk score for GDM and investigate relationships between its genetic architecture and genetically constructed risk factors and biomarkers. Our results demonstrate that the polygenic risk score can be used as an early screening tool that identifies women at higher risk of GDM before its onset allowing comprehensive monitoring and preventative programs to mitigate the risks.

Indexed as

gestational diabetesgwasmachine learningpolygenic risk scorepregnancy

Identifiers

PMID36143166
PMCPMC9505112

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.