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Development and Evaluation of the 40K Liquid SNP Array for Population Genetic Analysis in Golden Pompano (<i>Trachinotus ovatus</i>). [PDF]
Int J Mol SciLiu B +7 more
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Exploring causal correlations between oily fish intake and multiple sclerosis: A two-sample Mendelian randomization study. [PDF]
Asia Pac J Clin NutrChang S, Shi K, Zhang M.
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Functional analysis of HapMap SNPs
Gene, 2012Genome-wide association studies (GWAS) have successfully identified many genetic variants associated with complex diseases and traits. However, functional consequence of genetic variants studied in GWAS is not yet fully investigated, which would hinder the application of GWAS.
Ching-Ti, Liu +2 more
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Meta-Analysis of Joint Test of SNP and SNP-Environment Interaction with Heterogeneity
Human Heredity, 2021Many complex diseases are caused by single nucleotide polymorphisms (SNPs), environmental factors, and the interaction between SNPs and environment. Joint tests of the SNP and SNP-environment interaction effects (JMA) and meta-regression (MR) are commonly used to evaluate these SNP-environment interactions.
Qinqin, Jin, Gang, Shi
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Analysis of SNP-expression association matrices
2005 IEEE Computational Systems Bioinformatics Conference (CSB'05), 2005High throughput expression profiling and genotyping technologies provide the means to study the genetic determinants of population variation in gene expression variation. In this paper we present a general statistical framework for the simultaneous analysis of gene expression data and SNP genotype data measured for the same cohort.
Anya Tsalenko +6 more
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2007
Genetic variation and SNP analysis starts with generation of sequence-specific signal, followed by the collection of that signal. The final step is extensive data analysis, which starts with conversion of quantifiable raw data and ends up with identified SNPs, frequencies, and sometimes tissue-specific expression patterns (levels).
Lu, Wang, Robert, Luhm, Ming, Lei
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Genetic variation and SNP analysis starts with generation of sequence-specific signal, followed by the collection of that signal. The final step is extensive data analysis, which starts with conversion of quantifiable raw data and ends up with identified SNPs, frequencies, and sometimes tissue-specific expression patterns (levels).
Lu, Wang, Robert, Luhm, Ming, Lei
openaire +2 more sources
SNP Genotyping by Heteroduplex Analysis
2014Heteroduplex-based genotyping methods have proven to be technologically effective and economically efficient for low- to medium-range throughput single-nucleotide polymorphism (SNP) determination. In this chapter we describe two protocols that were successfully applied for SNP detection and haplotype analysis of candidate genes in association studies ...
Paniego, Norma Beatriz +3 more
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Identification and Analysis of Deleterious Human SNPs
Journal of Molecular Biology, 2006We have developed two methods of identifying which non-synonomous single base changes have a deleterious effect on protein function in vivo. One method, described elsewhere, analyzes the effect of the resulting amino acid change on protein stability, utilizing structural information.
Peng, Yue, John, Moult
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