Statistical significance in genetic association studies
نویسندگان
چکیده
منابع مشابه
Statistical significance in genetic association studies.
Clinical & Investigative Medicine (CIM) is receiving an increasing number of reports of candidate-based association studies. The track record of such studies in the past has been poor: numerous genetic associations reported from candidate gene studies have not been replicated in later studies.1 The rise of the genomewide association study (GWAS) is changing this situation. A well-designed GWAS ...
متن کاملSample Size and Statistical Power Calculation in Genetic Association Studies
A sample size with sufficient statistical power is critical to the success of genetic association studies to detect causal genes of human complex diseases. Genome-wide association studies require much larger sample sizes to achieve an adequate statistical power. We estimated the statistical power with increasing numbers of markers analyzed and compared the sample sizes that were required in cas...
متن کاملFractal Characterizations of Max Statistical Distribution in Genetic Association Studies
Two noninteger parameters are defined for MAX statistics, which are maxima of d simpler test statistics. The first parameter, dMAX, is the fractional number of tests, representing the equivalent numbers of independent tests in MAX. If the d tests are dependent, dMAX < d. The second parameter is the fractional degrees of freedom k of the chi-square distribution χk that fits the MAX null distribu...
متن کاملStatistical significance for genomewide studies.
With the increase in genomewide experiments and the sequencing of multiple genomes, the analysis of large data sets has become commonplace in biology. It is often the case that thousands of features in a genomewide data set are tested against some null hypothesis, where a number of features are expected to be significant. Here we propose an approach to measuring statistical significance in thes...
متن کاملStatistical Methods for Genetic and Epigenetic Association Studies
Kuan-Chieh Huang: Statistical Methods for Genetic and Epigenetic Association Studies (Under the direction of Yun Li) First, in genome-wide association studies, few methods have been developed for rare variants which are one of the natural places to explain some missing heritability left over from common variants. Therefore, we propose EM-LRT that incorporates imputation uncertainty for downstre...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Clinical & Investigative Medicine
سال: 2010
ISSN: 1488-2353
DOI: 10.25011/cim.v33i5.14351