Picking single-nucleotide polymorphisms in forests
نویسندگان
چکیده
منابع مشابه
Picking single-nucleotide polymorphisms in forests
With the development of high-throughput single-nucleotide polymorphism (SNP) technologies, the vast number of SNPs in smaller samples poses a challenge to the application of classical statistical procedures. A possible solution is to use a two-stage approach for case-control data in which, in the first stage, a screening test selects a small number of SNPs for further analysis. The second stage...
متن کاملSingle Nucleotide Polymorphisms and Association Studies: A Few Critical Points
Uncovering DNA sequence variations that correlate with phenotypic changes, e.g., diseases, is the aim of sequence variation studies. Common types sequence variations are Single nucleotide polymorphism (SNP, pronounced snip).SNPs are the third-generation molecular marker. SNP represents a DNA sequence variant of a single base pair with the minor allele occurring in more than 1% of a given popula...
متن کاملSingle-nucleotide polymorphisms in soybean.
Single-nucleotide polymorphisms (SNPs) provide an abundant source of DNA polymorphisms in a number of eukaryotic species. Information on the frequency, nature, and distribution of SNPs in plant genomes is limited. Thus, our objectives were (1) to determine SNP frequency in coding and noncoding soybean (Glycine max L. Merr.) DNA sequence amplified from genomic DNA using PCR primers designed to c...
متن کاملEffect of Single Nucleotide Polymorphisms in IGF-1R Gene on Growth Rate Traits in Makooei Sheep
Insulin-like growth factor 1 receptor (IGF-1R) is a main receptor of IGFs family which plays a critical role in the postnatal growth and skeletal growth in many species. However, there are few reports of IGF-1R gene structure and its effects on growth traits in sheep. The objectives of this study were detection of IGF-1R polymorphisms and assessment of their associations with ...
متن کاملDetecting significant single-nucleotide polymorphisms in a rheumatoid arthritis study using random forests
Random forest is an efficient approach for investigating not only the effects of individual markers on a trait but also the effect of the interactions among the markers in genetic association studies. This approach is especially appealing for the analysis of genome-wide data, such as those obtained from gene expression/single-nucleotide polymorphism (SNP) array experiments in which the number o...
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: BMC Proceedings
سال: 2007
ISSN: 1753-6561
DOI: 10.1186/1753-6561-1-s1-s59