Medical Genetics Commons^™

An Integrated Transcriptome And Expressed Variant Analysis Of Sepsis Survival And Death., Ephraim L. Tsalik, Raymond J. Langley, Darrell L. Dinwiddie, Neil A. Miller, Byunggil Yoo, Jennifer C. Van Velkinburgh, Laurie D. Smith, Isabella Thiffault, Anja K. Jaehne, Ashlee M. Valente, Ricardo Henao, Xin Yuan, Seth W. Glickman, Brandon J. Rice, Micah T. Mcclain, Lawrence Carin, G Ralph Corey, Geoffrey S S. Ginsburg, Charles B. Cairns, Ronny M. Otero, Vance G. Fowler, Emanuel P. Rivers, Christopher W. Woods, Stephen F. Kingsmore

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Sepsis, a leading cause of morbidity and mortality, is not a homogeneous disease but rather a syndrome encompassing many heterogeneous pathophysiologies. Patient factors including genetics predispose to poor outcomes, though current clinical characterizations fail to identify those at greatest risk of progression and mortality.

METHODS: The Community Acquired Pneumonia and Sepsis Outcome Diagnostic study enrolled 1,152 subjects with suspected sepsis. We sequenced peripheral blood RNA of 129 representative subjects with systemic inflammatory response syndrome (SIRS) or sepsis (SIRS due to infection), including 78 sepsis survivors and 28 sepsis non-survivors who had previously undergone plasma proteomic and metabolomic profiling. Gene …

D_Cdf Test Of Negative Log Transformed P-Values With Application To Genetic Pathway Analysis, Hongying Dai, Richard Charnigo

Manuscripts, Articles, Book Chapters and Other Papers

In genetic pathway analysis and other high dimensional data analysis, thousands and millions of tests could be performed simultaneously. p-values from multiple tests are often presented in a negative log-transformed format. We construct a contaminated exponential mixture model for −ln(P) and propose a D_CDF test to determine whether some −ln(P) are from tests with underlying effects. By comparing the cumulative distribution functions (CDF) of −ln(P) under mixture models, the proposed method can detect the cumulative effect from a number of variants with small effect sizes. Weight functions and truncations can be incorporated to the D_CDF test to improve power and …

A Modified Generalized Fisher Method For Combining Probabilities From Dependent Tests., Hongying Dai, J Steven Leeder, Yuehua Cui

Manuscripts, Articles, Book Chapters and Other Papers

Rapid developments in molecular technology have yielded a large amount of high throughput genetic data to understand the mechanism for complex traits. The increase of genetic variants requires hundreds and thousands of statistical tests to be performed simultaneously in analysis, which poses a challenge to control the overall Type I error rate. Combining p-values from multiple hypothesis testing has shown promise for aggregating effects in high-dimensional genetic data analysis. Several p-value combining methods have been developed and applied to genetic data; see Dai et al. (2012b) for a comprehensive review. However, there is a lack of investigations conducted for dependent …

Hypothesis Testing In Normal Admixture Models To Detect Heterogeneous Genetic Signals, Qian Fan, Richard Charnigo, Zohreh Talebizadeh, Hongying Dai

Manuscripts, Articles, Book Chapters and Other Papers

In this work we consider a three-component normal mixture model in which one component is known to have mean zero and the other two contaminating components have a nonnegative and a nonpositive mean respectively, while all three components share a common unknown variance parameter. One potential application of this model may be in prioritizing statistical scores obtained in biological experiments, including genetics data. Such a mixture model may be useful in describing the distribution of numerous Z test statistics corresponding to different genes or SNPs, such that a “significant” Z test statistic for a particular gene suggests its connection to …