Evidence map›Paper›PMID 18274536›Full record

ReviewNature reviews. Drug discovery2008

Genome-wide association studies: progress and potential for drug discovery and development.

Stephen F Kingsmore, Ingrid E Lindquist, Joann Mudge, Damian D Gessler, William D Beavis

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Drug discovery, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
11.1field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 154 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Genotype imputation for soybean nested association mapping population to improve precision of QTL detection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
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  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Precision medicine in pediatric sepsis.Current opinion in pediatrics · 2019
    Review
  13. Article
  14. Drug development in the era of precision medicine.Nature reviews. Drug discovery · 2018
    Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. New approaches to establish genetic causality.Trends in cardiovascular medicine · 2015
    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

5 authors at 1 institution in 1 country.

Stephen F KingsmoreNational Center for Genome Resources, 2935 Rodeo Park Drive East, Santa Fe, New Mexico 87505, USA. sfk@ncgr.org
Ingrid E Lindquist
Joann Mudge
Damian D Gessler
William D Beavis
National Center for Genome Resources · US

Funding

ZUNI HEALTH INITIATIVE-PILOT STUDYP20RR016480 · NCRR · NEW MEXICO STATE UNIVERSITY LAS CRUCES · PI ZHANG, PENG F · 2001 to 2011
$33.7M
ConProject-001U19HD077693 · NICHD · RADY PEDIATRIC GENOMICS & SYSTEMS MEDICINE INSTITUTE · PI KINGSMORE, STEPHEN FRANCIS · 2013 to 2018
$6.2M
Plasma Protein Biomarker-Based Diagnostics Of Outcome In Sepsis and CAPU01AI066569 · NIAID · NATIONAL CENTER FOR GENOME RESOURCES · PI KINGSMORE, STEPHEN FRANCIS · 2005 to 2010
$2.9M
NCRR NIH HHS P20 RR016480NIAID NIH HHS U01 AI066569NIAID NIH HHS U01AI066,569NICHD NIH HHS U19 HD077693PHS HHS N01A000,064
6 · The paper itself

Abstract

Although genetic studies have been critically important for the identification of therapeutic targets in Mendelian disorders, genetic approaches aiming to identify targets for common, complex diseases have traditionally had much more limited success. However, during the past year, a novel genetic approach - genome-wide association (GWA) - has demonstrated its potential to identify common genetic variants associated with complex diseases such as diabetes, inflammatory bowel disease and cancer. Here, we highlight some of these recent successes, and discuss the potential for GWA studies to identify novel therapeutic targets and genetic biomarkers that will be useful for drug discovery, patient selection and stratification in common diseases.

Indexed as

Genetic Predisposition to DiseaseGenome, HumanDiabetes MellitusDrug DesignHumansInflammatory Bowel DiseasesNeoplasms

Identifiers

PMID18274536
PMCPMC2853477
OpenAlexW2004380511

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.