Evidence map›Paper›PMID 28637795›Full record

ReviewCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2018

Genome-Wide Association Studies of Cancer in Diverse Populations.

Sungshim L Park, Iona Cheng, Christopher A Haiman

Abstract readReview
In one paragraph

Review in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

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

  1. Pooled it
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  5. Observational
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  7. Review
  8. Deep Sequencing Reveals Novel Mutations inInternational journal of molecular sciences · 2025
    Article
  9. Ancestry and somatic profile predict acral melanoma origin and prognosis.medRxiv : the preprint server for health sciences · 2025
    Article
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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

3 authors.

Sungshim L ParkDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
Iona ChengCancer Prevention Institute of California, Fremont, California.
Christopher A HaimanDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California. haiman@usc.edu.

Funding

Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Epidemiological and Clinical Translational Studies Post Genome-Wide AssociationU19CA148537 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EASTON, DOUGLAS FREDERICK, EELES, ROSALIND · 2010 to 2014
$10.4M
Genome-wide association study of breast cancer in high-risk womenR01CA165038 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAIMAN, CHRISTOPHER ALAN, HOPPER, JOHN L · 2012 to 2015
$3.9M
Epidemiologic Studies of Putative Functional Variation in Multiethnic CohortU01HG007397 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2013 to 2017
$3.7M
Genome-wide sequencing of prostate cancer in men of African ancestryR01CA165862 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAIMAN, CHRISTOPHER ALAN, REICH, DAVID E · 2012 to 2016
$3.1M
NCI NIH HHS R01 CA165038NCI NIH HHS R01 CA165862NCI NIH HHS U01 CA164973NCI NIH HHS U19 CA148537NHGRI NIH HHS U01 HG007397
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) of cancer have identified more than 700 risk loci, of which approximately 80% were first discovered in European ancestry populations, approximately 15% in East Asians, 3% in multiethnic scans, and less than 1% in African and Latin American populations. These percentages closely mirror the distribution of samples included in the discovery phase of cancer GWAS to date (84% European, 11% East Asian, 4% African, and 1% Latin American ancestry). GWAS in non-European ancestry populations have provided insight into ancestry-specific variation in cancer and have pointed to regions of susceptibility that are of particular importance in certain populations. Uncovering and characterizing cancer risk loci in diverse populations is critical for understanding underlying biological mechanisms and developing future genetic risk prediction models in non-European ancestry populations. New GWAS and continued collaborations will be required to eliminate population inequalities in the number of studies, sample sizes, and variant content on GWAS arrays, and to better align genetic research in cancer to the global distribution of race/ethnicity

Indexed as

Asian PeopleBlack PeopleGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGlobal Burden of DiseaseHispanic or LatinoHumansInternational CooperationNeoplasmsPolymorphism, Single NucleotideWhite People

Identifiers

PMID28637795
PMCPMC5740019

What OpenQuestion holds

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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.