Nonparametric Risk and Nonparametric Odds in Quantitative Genetic Association Studies
نویسندگان
چکیده
منابع مشابه
Nonparametric Risk and Nonparametric Odds in Quantitative Genetic Association Studies
The coefficient in a linear regression model is commonly employed to evaluate the genetic effect of a single nucleotide polymorphism associated with a quantitative trait under the assumption that the trait value follows a normal distribution or is appropriately normally distributed after a certain transformation. When this assumption is violated, the distribution-free tests are preferred. In th...
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Correlation among multiple complex traits has been believed to have a significant impact on genetic association testing. However, such correlation is difficult to account for in both genetic association studies and statistical methodologies. For complex diseases, especially mental illnesses and behavioral disorders, the traits are often measured on an ordinal scale. Although proportional odds l...
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Statistical association between a single nucleotide polymorphism (SNP) genotype and a quantitative trait in genome-wide association studies is usually assessed using a linear regression model, or, in the case of non-normally distributed trait values, using the Kruskal-Wallis test. While linear regression models assume an additive mode of inheritance via equi-distant genotype scores, Kruskal-Wal...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2015
ISSN: 2045-2322
DOI: 10.1038/srep12105