Evidence map›Paper›PMID 19762372›Full record

ReviewAmerican journal of epidemiology2009

Hypothesis-driven candidate gene association studies: practical design and analytical considerations.

Timothy J Jorgensen, Ingo Ruczinski, Bailey Kessing, Michael W Smith, Yin Yao Shugart, Anthony J Alberg

Registry-linked trialAbstract readReview
In one paragraph

Review in American journal of epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04462445 (Prospective Translational Study Investigating Possible Molecular prEdictors of Resistance to First-Line pazopanIb in Metastatic reNal Cell Carcinoma), which is not on this map. Cited by 46 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 5 pooled it
–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.

NCT04462445 phase2completednot on this mapstarted 2015, after this paper: background citation

Prospective Translational Study Investigating Possible Molecular prEdictors of Resistance to First-Line pazopanIb in Metastatic reNal Cell Carcinoma

TypeinterventionalSponsorFondazione IRCCS Istituto Nazionale dei Tumori, MilanoRan2015 to 2017Enrolled25ConditionsMetastatic Renal Cell CarcinomaArmsPazopanib
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. The complex interaction of genetics and delirium: a systematic review and meta-analysis.European archives of psychiatry and clinical neuroscience · 2021
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Risky Early Family Environment and Genetic Associations with Adult Metabolic Dysregulation.International journal of environmental research and public health · 2022
    Article
  13. Journal of gastric cancer · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. 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.

Timothy J JorgensenDepartment of Radiation Medicine, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA. tjorge01@georgetown.edu
Ingo Ruczinski
Bailey Kessing
Michael W Smith
Yin Yao Shugart
Anthony J Alberg

Funding

DNA Repair, Skin Cancer and Overall Cancer RiskR01CA105069 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI ALBERG, ANTHONY J · 2005 to 2009
$2.4M
Novel Statistical Methods for Gene-Environment Interactions in Complex DiseasesR01HL090577 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI RUCZINSKI, INGO · 2007 to 2009
$1.1M
Intramural NIH HHSNCI NIH HHS CA105069NCI NIH HHS N01 CO012400NCI NIH HHS N01-CO-12400NCI NIH HHS R01 CA105069NHLBI NIH HHS HL090577NHLBI NIH HHS R01 HL090577
6 · The paper itself

Abstract

Candidate gene association studies (CGAS) are a useful epidemiologic approach to drawing inferences about relations between genes and disease, especially when experimental data support the involvement of specific biochemical pathways. The value of CGAS is apparent when allele frequencies are low, effect sizes are small, or the study population is limited or unique. CGAS is also valuable for validating previous reports of genetic associations with disease in different populations. Despite the many advantages, the information generated from CGAS is sometimes compromised because of either inefficient study design or suboptimal analytical approaches. Here the authors discuss issues related to the study design and statistical analyses of CGAS that can help to optimize their usefulness and information content. These issues include judicious hypothesis-driven selection of biochemical pathways, genes, and single nucleotide polymorphisms, as well as appropriate quality control and analytical procedures for measuring main effects and for evaluating environmental exposure modifications and interactions. A study design algorithm using the example of DNA repair genes and cancer is presented for purposes of illustration.

Indexed as

Genome-Wide Association StudyDNA RepairGene FrequencyGenetic Predisposition to DiseaseHumansMolecular EpidemiologyPolymorphism, Single Nucleotide

Identifiers

PMID19762372
PMCPMC2765367

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.