Combining multiple family-based association studies

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Combining multiple family-based association studies

While high-throughput genotyping technologies are becoming readily available, the merit of using these technologies to perform genome-wide association studies has not been established. One major concern is that for studies of complex diseases and traits, the whole-genome approach requires such large sample sizes that both recruitment and genotyping pose considerable challenge. Here we propose a...

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Family-based genome-wide association studies.

In the last 2 years, the effort to identify genes affecting common diseases and complex traits has been accelerated through the use of genome-wide association studies (GWAS). The availability of existing large collections of linkage data paved the way for the use of family-based GWAS. Although most published GWAS used population-based designs, family-based designs have played an important role,...

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Covariate adjustment in family-based association studies.

Family-based tests of association between a candidate locus and a disease evaluate how often a variant allele at the locus is transmitted from parents to offspring. These tests assume that in the absence of association, an affected offspring is equally likely to have inherited either one of the two homologous alleles carried by a parent. However, transmission distortion was documented in famili...

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Comparison of methods for combining case-control and family-based association studies.

OBJECTIVES Combining the analysis of family-based samples with unrelated individuals can enhance the power of genetic association studies. Various combined analysis techniques have been recently developed; as yet, there have been no comparisons of their power, or robustness to confounding factors. We investigated empirically the power of up to six combined methods using simulated samples of tri...

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A multiple imputation procedure of censored values in family-based genetic association studies

Biological quantitative data are subjected to censoring when a portion of values cannot be quantified because they are smaller or greater than the limit of detection (LOD) of the laboratory assay. In genetic association studies of quantitative trait, the handling of censored data has received little attention and often the solutions are unsatisfactory. However, the approach used to deal with su...

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ژورنال

عنوان ژورنال: BMC Proceedings

سال: 2007

ISSN: 1753-6561

DOI: 10.1186/1753-6561-1-s1-s162