Literature DB >> 16214931

Genetic variation and willingness to participate in epidemiologic research: data from three studies.

Parveen Bhatti1, Alice J Sigurdson, Sophia S Wang, Jinbo Chen, Nathaniel Rothman, Patricia Hartge, Andrew W Bergen, Maria Teresa Landi.   

Abstract

The differences in common genetic polymorphism frequencies by willingness to participate in epidemiologic studies are unexplored, but the same threats to internal validity operate as for studies with nongenetic information. We analyzed single nucleotide polymorphism genotypes, haplotypes, and short tandem repeats among control groups from three studies with different recruitment designs that included early, late, and never questionnaire responders, one or more participation incentives, and blood or buccal DNA collection. Among 2,955 individuals, we compared 108 genotypes, 8 haplotypes, and 9 to 15 short tandem repeats by respondent type. Among our main comparisons, single nucleotide polymorphism genotype frequencies differed significantly (P < 0.05) between respondent groups in six instances, with 13 expected by chance alone. When comparing the odds of carrying a variant among the various response groups, 19 odds ratios were </=0.70 or >/=1.40, levels that might be notably different. Among the various respondent group comparisons, haplotype and short tandem repeat frequencies were not significantly different by willingness to participate. We observed little evidence to suggest that genotype differences underlie response characteristics in molecular epidemiologic studies, but a greater variety of genes should be examined, including those related to behavioral traits potentially associated with willingness to participate. To the extent possible, investigators should evaluate their own genetic data for bias in response categories.

Mesh:

Year:  2005        PMID: 16214931     DOI: 10.1158/1055-9965.EPI-05-0463

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


  38 in total

1.  Gene-nutrient interactions among determinants of folate and one-carbon metabolism on the risk of non-Hodgkin lymphoma: NCI-SEER case-control study.

Authors:  Unhee Lim; Sophia S Wang; Patricia Hartge; Wendy Cozen; Linda E Kelemen; Stephen Chanock; Scott Davis; Aaron Blair; Maryjean Schenk; Nathaniel Rothman; Qing Lan
Journal:  Blood       Date:  2007-04-01       Impact factor: 22.113

2.  Polymorphisms in DNA repair genes and risk of non-Hodgkin lymphoma among women in Connecticut.

Authors:  Min Shen; Tongzhang Zheng; Qing Lan; Yawei Zhang; Shelia H Zahm; Sophia S Wang; Theodore R Holford; Brian Leaderer; Meredith Yeager; Robert Welch; Daehee Kang; Peter Boyle; Bing Zhang; Kaiyong Zou; Yong Zhu; Stephen Chanock; Nathaniel Rothman
Journal:  Hum Genet       Date:  2006-04-26       Impact factor: 4.132

Review 3.  Mendelian randomization: can genetic epidemiology help redress the failures of observational epidemiology?

Authors:  Shah Ebrahim; George Davey Smith
Journal:  Hum Genet       Date:  2007-11-23       Impact factor: 4.132

Review 4.  Capitalizing on Mendelian randomization to assess the effects of treatments.

Authors:  George Davey Smith
Journal:  J R Soc Med       Date:  2007-09       Impact factor: 5.344

5.  A pooled investigation of Toll-like receptor gene variants and risk of non-Hodgkin lymphoma.

Authors:  Mark P Purdue; Qing Lan; Sophia S Wang; Anne Kricker; Idan Menashe; Tong-Zhang Zheng; Patricia Hartge; Andrew E Grulich; Yawei Zhang; Lindsay M Morton; Claire M Vajdic; Theodore R Holford; Richard K Severson; Brian P Leaderer; James R Cerhan; Meredith Yeager; Wendy Cozen; Kevin Jacobs; Scott Davis; Nathaniel Rothman; Stephen J Chanock; Nilanjan Chatterjee; Bruce K Armstrong
Journal:  Carcinogenesis       Date:  2008-11-24       Impact factor: 4.944

6.  Inherited genetic variation and overall survival following follicular lymphoma.

Authors:  Todd M Gibson; Sophia S Wang; James R Cerhan; Matthew J Maurer; Patricia Hartge; Thomas M Habermann; Scott Davis; Wendy Cozen; Charles F Lynch; Richard K Severson; Nathaniel Rothman; Stephen J Chanock; Lindsay M Morton
Journal:  Am J Hematol       Date:  2012-03-31       Impact factor: 10.047

7.  Caspase polymorphisms and genetic susceptibility to multiple myeloma.

Authors:  H Dean Hosgood; Dalsu Baris; Yawei Zhang; Yong Zhu; Tongzhang Zheng; Meredith Yeager; Robert Welch; Shelia Zahm; Stephen Chanock; Nathaniel Rothman; Qing Lan
Journal:  Hematol Oncol       Date:  2008-09       Impact factor: 5.271

8.  Vegetables- and antioxidant-related nutrients, genetic susceptibility, and non-Hodgkin lymphoma risk.

Authors:  Linda E Kelemen; Sophia S Wang; Unhee Lim; Wendy Cozen; Maryjean Schenk; Patricia Hartge; Yan Li; Nathaniel Rothman; Scott Davis; Stephen J Chanock; Mary H Ward; James R Cerhan
Journal:  Cancer Causes Control       Date:  2008-01-17       Impact factor: 2.506

9.  Nucleotide excision repair polymorphisms may modify ionizing radiation-related breast cancer risk in US radiologic technologists.

Authors:  Preetha Rajaraman; Parveen Bhatti; Michele Morin Doody; Steven L Simon; Robert M Weinstock; Martha S Linet; Marvin Rosenstein; Marilyn Stovall; Bruce H Alexander; Dale L Preston; Alice J Sigurdson
Journal:  Int J Cancer       Date:  2008-12-01       Impact factor: 7.396

Review 10.  Methods for meta-analysis in genetic association studies: a review of their potential and pitfalls.

Authors:  Fotini K Kavvoura; John P A Ioannidis
Journal:  Hum Genet       Date:  2007-11-17       Impact factor: 4.132

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