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Suggestive Linkage Detected For Blood Pressure Related Traits On 2q And 22q In The Population On The Samoan Islands, Karolina A. Aberg, Feng Dai, Satupaitea Viali, John Tuitele, Guangyun Sun, Subba R. Indugula, Ranjan Deka, Daniel E. Weeks, Stephen T. Mcgarvey
Suggestive Linkage Detected For Blood Pressure Related Traits On 2q And 22q In The Population On The Samoan Islands, Karolina A. Aberg, Feng Dai, Satupaitea Viali, John Tuitele, Guangyun Sun, Subba R. Indugula, Ranjan Deka, Daniel E. Weeks, Stephen T. Mcgarvey
Biomarker Research and Personalized Medicine Publications
Background
High blood pressure or hypertension is a major risk factor involved in the development of cardiovascular diseases. We conducted genome-wide variance component linkage analyses to search for loci influencing five blood pressure related traits including the quantitative traits systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse pressure (PP), the dichotomous trait hypertension (HT) and the bivariate quantitative trait SBP-DBP in families residing in American Samoa and Samoa, as well as in the combined sample from the two polities. We adjusted the traits for a number of environmental covariates such as smoking, alcohol consumption, physical activity and material …
In Silico Whole Genome Association Scan For Murine Prepulse Inhibition, Bradley Todd Webb, Joseph L. Mcclay, Cristina Vargas-Irwin, Timothy P. York, Edwin J. C. G. Van Den Oord
In Silico Whole Genome Association Scan For Murine Prepulse Inhibition, Bradley Todd Webb, Joseph L. Mcclay, Cristina Vargas-Irwin, Timothy P. York, Edwin J. C. G. Van Den Oord
Biomarker Research and Personalized Medicine Publications
Background
The complex trait of prepulse inhibition (PPI) is a sensory gating measure related to schizophrenia and can be measured in mice. Large-scale public repositories of inbred mouse strain genotypes and phenotypes such as PPI can be used to detect Quantitative Trait Loci (QTLs) in silico. However, the method has been criticized for issues including insufficient number of strains, not controlling for false discoveries, the complex haplotype structure of inbred mice, and failing to account for genotypic and phenotypic subgroups.
Methodology/Principal Findings
We have implemented a method that addresses these issues by incorporating phylogenetic analyses, multilevel regression with mixed …