Evidence map›Paper›PMID 21977050›Full record

ArticlePersonalized medicine2010

Drosophila as a tool for personalized medicine: a primer.

Yumi Kasai, Ross Cagan

Abstract read
In one paragraph

Article in Personalized medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Medical science pulse · 2025
    Article
  2. Frontiers in genetics · 2022
    Review
  3. Review
  4. Precision Medicine on the Fly: Using Drosophila to Decipher Gene-Environment Interactions in Parkinson's Disease.Toxicological sciences : an official journal of the Society of Toxicology · 2021
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. One hundred years ofDisease models & mechanisms · 2019
    Review
  11. Review
  12. Article
  13. Article
  14. RNAi screening in Drosophila cells and in vivo.Methods (San Diego, Calif.) · 2014
    Review
  15. Article
  16. Comparative approaches to the study of physiology: Drosophila as a physiological tool.American journal of physiology. Regulatory, integrative and comparative physiology · 2013
    Review
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

2 authors.

Yumi KasaiDepartment of Genetics & Genomic Sciences, Mount Sinai School of Medicine, One Gustave L Levy Place, NY 10029-6574, USA.
Ross Cagan

Funding

A Drosophila Model for Src-Mediated OncogenesisR01CA109730 · NCI · WASHINGTON UNIVERSITY · PI CAGAN, ROSS LEIGH · 2004 to 2013
$2.9M
NCI NIH HHS R01 CA109730
6 · The paper itself

Abstract

The goal of personalized medicine is to treat each patient with the best drug: optimal therapeutic benefit with minimal side effects. The genomic revolution is rapidly identifying the genetic contribution to the diseased state as well as its contribution to drug efficacy and toxicity. The ability to perform genome-wide studies has led to an overwhelming number of candidate genes and/or their associated variants; however, understanding which are of therapeutic importance is becoming the greatest unmet need in the personalized medicine field. A related issue is the need to improve our methods of identifying and characterizing therapeutic drugs in the context of the complex genomic landscape of the intact body. Drosophila have proven to be a powerful tool for understanding the basic biological mechanisms of human development. This article will review Drosophila as a whole animal tool for gene and drug discovery. We will examine how Drosophila can be used to both sort through the myriad of hits coming from human genome-wide scans and to dramatically improve the early steps in pharmaceutical drug development.

Identifiers

PMID21977050
PMCPMC3184507

What OpenQuestion holds

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Registered trials

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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.