Evidence map›Paper›PMID 17903305›Full record

ArticleBMC medical genetics2007

A genome-wide association study of breast and prostate cancer in the NHLBI's Framingham Heart Study.

Joanne M Murabito, Carol L Rosenberg, Daniel Finger, Bernard E Kreger, Daniel Levy, Greta Lee Splansky, Karen Antman, Shih-Jen Hwang

Abstract read
In one paragraph

Article in BMC medical genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 7 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

69 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Genetic variations in cancer-related significantly mutated genes and lung cancer susceptibility.Annals of oncology : official journal of the European Society for Medical Oncology · 2017
    Pooled it
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  5. Lack of association between methylenetetrahydrofolate dehydrogenase 1 G1958A polymorphism and prostate cancer risk: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
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  9. Putative linkage signals identified for breast cancer in African American families.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015
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  17. Leveraging genetic ancestry to study health disparities.American journal of physical anthropology · 2021
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  18. Review
  19. Breast Cancer-Related Low Penetrance Genes.Advances in experimental medicine and biology · 2021
    Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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

8 authors.

Joanne M MurabitoThe National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA. murabito@bu.edu
Carol L Rosenberg
Daniel Finger
Bernard E Kreger
Daniel Levy
Greta Lee Splansky
Karen Antman
Shih-Jen Hwang

Funding

Framingham Project/LevyZ01HL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2008 to 2008
$1.1M
NCRR NIH HHS 1S10RR163736-01A1NHLBI NIH HHS N01-HC-25195
6 · The paper itself

Abstract

backgroundBreast and prostate cancer are two commonly diagnosed cancers in the United States. Prior work suggests that cancer causing genes and cancer susceptibility genes can be identified.

methodsWe conducted a genome-wide association study (Affymetrix 100K SNP GeneChip) of cancer in the community-based Framingham Heart Study. We report on 2 cancer traits--prostate cancer and breast cancer--in up to 1335 participants from 330 families (54% women, mean entry age 33 years). Multivariable-adjusted residuals, computed using Cox proportional hazards models, were tested for association with qualifying SNPs (70, 987 autosomal SNPs with genotypic call rate > or =80%, minor allele frequency > or =10%, Hardy-Weinberg test p > or = 0.001) using generalized estimating equations (GEE) models and family based association tests (FBAT).

resultsThere were 58 women with breast cancer and 59 men with prostate cancer. No SNP associations attained genome-wide significance. The top SNP associations in GEE models for each trait were as follows: breast cancer, rs2075555, p = 8.0 x 10(-8) in COL1A1; and prostate cancer, rs9311171, p = 1.75 x 10(-6) in CTDSPL. In analysis of selected candidate cancer susceptibility genes, two MSR1 SNPs (rs9325782, GEE p = 0.008 and rs2410373, FBAT p = 0.021) were associated with prostate cancer and three ERBB4 SNPs (rs905883 GEE p = 0.0002, rs7564590 GEE p = 0.003, rs7558615 GEE p = 0.0078) were associated with breast cancer. The previously reported risk SNP for prostate cancer, rs1447295, was not included on the 100K chip. Results of cancer phenotype-genotype associations for all autosomal SNPs are web posted at http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007 webcite.

conclusionAlthough no association attained genome-wide significance, several interesting associations emerged for breast and prostate cancer. These findings can serve as a resource for replication in other populations to identify novel biologic pathways contributing to cancer susceptibility.

Indexed as

Genome, HumanAdultBreast NeoplasmsCardiovascular DiseasesCohort StudiesDisease SusceptibilityFemaleGenotypeHumansMaleMiddle AgedPhenotypePolymorphism, Single NucleotideProportional Hazards ModelsProstatic Neoplasms

Identifiers

PMID17903305
PMCPMC1995609

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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.