Evidence map›Paper›PMID 31002792›Full record

ArticleCell2019

Polygenic Risk Scores Expand to Obesity.

Ali Torkamani, Eric Topol

Abstract readComment
PubMed Publisher
In one paragraph

Article in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Genetics, pharmacotherapy, and dietary interventions in childhood obesity.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Genetic Determinants of Childhood Obesity.Molecular diagnosis & therapy · 2020
    Review
  15. Role of the adaptive immune system in atherosclerosis.Biochemical Society transactions · 2020
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Ali TorkamaniScripps Research Translational Institute, La Jolla, CA 92037, USA; Department of Integrative Structural and Computational Biology, Scripps Research, La Jolla, CA 92037, USA.
Eric TopolScripps Research Translational Institute, La Jolla, CA 92037, USA; Department of Molecular Medicine, Scripps Research, La Jolla, CA 92037, USA. Electronic address: etopol@scripps.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is one of the most serious health challenges of our time. In this issue of Cell, Khera and co-authors demonstrate the striking ability of genetics, in the form of a polygenic risk score, to identify those individuals at high risk for obesity. This genetic risk expresses itself early as childhood obesity, reinforcing the notion that early prevention is essential to combatting the obesity epidemic.

Indexed as

Genetic Predisposition to DiseaseMultifactorial InheritanceAdultBody WeightChildFemaleHumansObesityPregnancyRisk Factors

Identifiers

What OpenQuestion holds

Textmetadata
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.