Literature DB >> 8049640

Statistical analysis of molecular epidemiology studies employing case-series.

C B Begg1, Z F Zhang.   

Abstract

The case-series design is being used increasingly to explore associations between environmental risk factors and genetic markers. It is demonstrated that the odds ratio derived from a case-series study is the ratio of the relative risk for developing marker-positive disease to the relative risk for developing marker-negative disease. This parameter is an empirical manifestation of etiological heterogeneity with respect to the risk factor under study, and it can be used to construct a statistical significance test. Presence of etiological heterogeneity, as reflected in departures of this parameter from unity, could be a result of either the presence of distinct causal mechanisms for the two categories of cases, or a different strength of effect via the same mechanism. The case-series approach represents an efficient and valid approach for evaluating gene-environment associations, especially in referral centers where it is difficult to identify a valid control group.

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Substances:

Year:  1994        PMID: 8049640

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  77 in total

1.  UGT1A1 polymorphisms and colorectal cancer susceptibility.

Authors:  N T Brockton
Journal:  Gut       Date:  2002-06       Impact factor: 23.059

2.  Association between coffee drinking and K-ras mutations in exocrine pancreatic cancer. PANKRAS II Study Group.

Authors:  M Porta; N Malats; L Guarner; A Carrato; J Rifà; A Salas; J M Corominas; M Andreu; F X Real
Journal:  J Epidemiol Community Health       Date:  1999-11       Impact factor: 3.710

3.  Allowing for population stratification in case-only studies of gene-environment interaction, using genomic control.

Authors:  Pankaj Yadav; Sandra Freitag-Wolf; Wolfgang Lieb; Astrid Dempfle; Michael Krawczak
Journal:  Hum Genet       Date:  2015-08-22       Impact factor: 4.132

4.  Recommendations and proposed guidelines for assessing the cumulative evidence on joint effects of genes and environments on cancer occurrence in humans.

Authors:  Paolo Boffetta; Deborah M Winn; John P Ioannidis; Duncan C Thomas; Julian Little; George Davey Smith; Vincent J Cogliano; Stephen S Hecht; Daniela Seminara; Paolo Vineis; Muin J Khoury
Journal:  Int J Epidemiol       Date:  2012-05-16       Impact factor: 7.196

5.  Replicated association between an IL28B gene variant and a sustained response to pegylated interferon and ribavirin.

Authors:  Jeanette J McCarthy; Josephine H Li; Alexander Thompson; Sunil Suchindran; Xiang Qian Lao; Keyur Patel; Hans L Tillmann; Andrew J Muir; John G McHutchison
Journal:  Gastroenterology       Date:  2010-02-19       Impact factor: 22.682

6.  GSTM1 null and NAT2 slow acetylation genotypes, smoking intensity and bladder cancer risk: results from the New England bladder cancer study and NAT2 meta-analysis.

Authors:  L E Moore; D R Baris; J D Figueroa; M Garcia-Closas; M R Karagas; M R Schwenn; A T Johnson; J H Lubin; D W Hein; C L Dagnall; J S Colt; M Kida; M A Jones; A R Schned; S S Cherala; S J Chanock; K P Cantor; D T Silverman; N Rothman
Journal:  Carcinogenesis       Date:  2010-10-29       Impact factor: 4.944

7.  Polycyclic aromatic hydrocarbon (PAH)-DNA adducts and breast cancer: modification by gene promoter methylation in a population-based study.

Authors:  Alexandra J White; Jia Chen; Lauren E McCullough; Xinran Xu; Yoon Hee Cho; Susan L Teitelbaum; Alfred I Neugut; Mary Beth Terry; Hanina Hibshoosh; Regina M Santella; Marilie D Gammon
Journal:  Cancer Causes Control       Date:  2015-09-25       Impact factor: 2.506

8.  Epidemiology of basal-like breast cancer.

Authors:  Robert C Millikan; Beth Newman; Chiu-Kit Tse; Patricia G Moorman; Kathleen Conway; Lynn G Dressler; Lisa V Smith; Miriam H Labbok; Joseph Geradts; Jeannette T Bensen; Susan Jackson; Sarah Nyante; Chad Livasy; Lisa Carey; H Shelton Earp; Charles M Perou
Journal:  Breast Cancer Res Treat       Date:  2007-06-20       Impact factor: 4.872

9.  Intrinsic subtypes from PAM50 gene expression assay in a population-based breast cancer cohort: differences by age, race, and tumor characteristics.

Authors:  Carol Sweeney; Philip S Bernard; Rachel E Factor; Marilyn L Kwan; Laurel A Habel; Charles P Quesenberry; Kaylynn Shakespear; Erin K Weltzien; Inge J Stijleman; Carole A Davis; Mark T W Ebbert; Adrienne Castillo; Lawrence H Kushi; Bette J Caan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-02-12       Impact factor: 4.254

10.  Relationship among metabolizing genes, smoking and alcohol used as modifier factors on prostate cancer risk: exploring some gene-gene and gene-environment interactions.

Authors:  Dante D Cáceres; Jeannette Iturrieta; Cristian Acevedo; Christian Huidobro; Nelson Varela; Luis Quiñones
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

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