Work has progressed in two major areas: (1) models for human fertility; and (2) statistical methods for studying genetic effects. In the first area, we have adapted our fertility model to take into account possible measurement errors in identifying the day of ovulation. This makes it possible to correct for both the artifactual lengthening such errors cause in the apparent fertile interval and the biases caused in estimation of fertility parameters. Case-control studies aimed at elucidating genetic contributors to the etiology of diseases are problematic because of the """"""""admixture"""""""" problem: If a particular variant allele is to be studied, there may be subpopulations that simultaneously have elevated prevalence of the variant and increased risk of the defect, for unrelated reasons. Such an admixture will produce biased estimation in a traditional population-based case-control study. Also, healthy members of the population may resist genotyping. The case-parents design avoids both these issues by only genotyping cases and their parents. Using the genetic """"""""triad"""""""" data from such a study, under assumed Mendelian inheritance, one can estimate relative risks for an allelic variant and can differentiate effects that depend on the prenatal effects of the maternal genotype from effects mediated by the (correlated) offspring's inherited genotype. The log-linear model we developed also allows for possible effects of parental imprinting. Simulations reveal that, for example, with such a design 100 case families yield a power in excess of 90% to detect a relative risk (dominance model) of 3.0.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Intramural Research (Z01)
Project #
1Z01ES040007-02
Application #
6106645
Study Section
Special Emphasis Panel (NIEH)
Project Start
Project End
Budget Start
Budget End
Support Year
2
Fiscal Year
1998
Total Cost
Indirect Cost
City
State
Country
United States
Zip Code
Shi, M; Umbach, D M; Wise, A S et al. (2018) Simulating autosomal genotypes with realistic linkage disequilibrium and a spiked-in genetic effect. BMC Bioinformatics 19:2
Chen, Lu; Weinberg, Clarice R; Chen, Jinbo (2016) Using family members to augment genetic case-control studies of a life-threatening disease. Stat Med 35:2815-30
Wise, Alison S; Shi, Min; Weinberg, Clarice R (2016) Family-Based Multi-SNP X Chromosome Analysis Using Parent Information. Front Genet 7:20
Wise, Alison S; Shi, Min; Weinberg, Clarice R (2015) Learning about the X from our parents. Front Genet 6:15
Shi, Min; Umbach, David M; Weinberg, Clarice R (2015) Using parental phenotypes in case-parent studies. Front Genet 6:221
Shi, Min; Umbach, David M; Weinberg, Clarice R (2014) Disentangling pooled triad genotypes for association studies. Ann Hum Genet 78:345-56
Weinberg, Clarice R; Shi, Min; DeRoo, Lisa A et al. (2014) Asymmetry in family history implicates nonstandard genetic mechanisms: application to the genetics of breast cancer. PLoS Genet 10:e1004174
Kim, Jinsil; Stirling, Kara J; Cooper, Margaret E et al. (2013) Sequence variants in oxytocin pathway genes and preterm birth: a candidate gene association study. BMC Med Genet 14:77
Shi, Min; Umbach, David M; Weinberg, Clarice R (2013) Case-sibling studies that acknowledge unstudied parents and permit the inclusion of unmatched individuals. Int J Epidemiol 42:298-307
Weinberg, Clarice R (2012) Interaction and exposure modification: are we asking the right questions? Am J Epidemiol 175:602-5

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