Evidence map›Paper›PMID 20359883›Full record

ReviewCurrent opinion in genetics & development2010

Exploring genetic susceptibility to cancer in diverse populations.

Christopher A Haiman, Daniel O Stram

Abstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 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.

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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  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

2 authors.

Christopher A HaimanDepartment of Preventive Medicine, Keck School of Medicine and the Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA. haiman@usc.edu
Daniel O Stram

Funding

Multiethnic Cohort Study of Diet and CancerR37CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 2003 to 2012
$23.2M
Characterizing Genetic Susceptibility to Breast and Prostate Cancer; the BPC3U01CA098758 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2003 to 2010
$11.0M
A Genome-wide Association Study of Prostate Cancer in African AmericansU01CA136792 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2009 to 2011
$9.4M
Whole Genome Scan for Modifier Genes in Colorectal CancerR01CA126895 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI LE MARCHAND, LOIC · 2008 to 2012
$8.5M
Epidemiology of Putative Causal Variants in the Multiethnic CohortU01HG004802 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI LE MARCHAND, LOIC · 2008 to 2012
$8.4M
MULTIETHNIC/MINORITY COHORT STUDY OF DIET AND CANCERR01CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 1993 to 2002
$4.5M
Fine mapping and characterization of the 8q24 prostate cancer risk locusR01CA129435 · NCI · DANA-FARBER CANCER INST · PI FREEDMAN, MATTHEW L · 2007 to 2009
$1.5M
A Multiethnic Genome-Wide Scan of Prostate CancerU01HG004726 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAIMAN, CHRISTOPHER ALAN · 2008 to 2009
$1.2M
NCI NIH HHS CA054281NCI NIH HHS CA098758NCI NIH HHS CA126895NCI NIH HHS CA129435NCI NIH HHS CA136792NCI NIH HHS R01 CA054281NCI NIH HHS R01 CA126895NCI NIH HHS R01 CA129435NCI NIH HHS R37 CA054281NCI NIH HHS U01 CA098758NCI NIH HHS U01 CA136792NHGRI NIH HHS HG004726NHGRI NIH HHS HG004802NHGRI NIH HHS U01 HG004726NHGRI NIH HHS U01 HG004802
6 · The paper itself

Abstract

Incidence rates for many cancers differ markedly by race/ethnicity and furthering our understanding of the genetic and environmental causes of such disparities is a scientific and public health need. Genome-wide association studies (GWAS) are widely acknowledged to provide important information about the etiology of common cancers. To date, these studies have been primarily conducted in European-derived populations. There are important reasons for extending the reach of GWAS studies to other groups and for conducting multiethnic genetic studies involving multiple populations and admixed populations. These include a (1) need to discover the full scope of variants that affect risk of disease in all populations, (2) furthering the understanding of disease pathways, and (3) to assist in fine-mapping of genetic associations by exploiting the differences in linkage disequilibrium between populations to narrow the range of marker alleles demarking regions that contain a true biologically relevant variant. Challenges to multiethnic studies relating to study power, control for hidden population structure, imputation, and use of shared controls for multiple cancer endpoints are discussed.

Indexed as

EthnicityGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMutationNeoplasmsPolymorphism, Single NucleotidePublic HealthRisk Factors

Identifiers

PMID20359883
PMCPMC4196678

What Socratic holds

Textmetadata
LicenceTDM
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.