Thekey differencebetween QTL and GWAS relies on the type of sequences used in the analysis.QTL uses linkage gene loci to analyzephenotypictraits associated with多基因继承while GWAS useswhole genome sequencesto analyzesingle nucleotide polymorphisms特定条件。
QTL maps and GWAS play an important role in the genetic analyses for different traits. Furthermore, they are important in analyzing various disease conditions with unknown aetiology. In addition, sequencing plays a key role in both techniques. These techniques can further be coupled with other high throughput techniques for increased accuracy and precision.
What is QTL?
QTL代表定量性状基因座. It is a region of the DNA associated with a phenotypic trait. Generally, a QTL gives rise to polygenic effects. The distribution of QTLs varies, and the number of QTLs suggests the degree of variation of a particular phenotypic trait. Furthermore, they typically code for underlie continuous traits and not discrete traits.
Upon the identification of the QTL regions, it is important to sequence a particular QTL area. Moreover, to make investigations and research easy, sequencing and storing the sequence data of the common QTL regions take place with the involvement of bioinformatics. We call this technique QTL mapping. Subsequently, a database builds up with the QTL region sequences.
Furthermore, the applications of QTL sequences rely mainly on BLAST tool, where the sequence similarity can be determined. It is important in deducing relationships between organisms. Furthermore, it is important in determining the complexity of a particular polygenic phenotype. It also determines the evolution of a particular trait.
At present, QTL analysis is combined with other high throughput techniques like DNA microarrays. This is important in the expression analysis of the phenotype. Currently, scientists are much interested in developing the QTL database since QTL regions are responsible for many important traits of different species.
GWAS代表Genome Wide Association Study. It also refers to whole genome association studies. These studies focus mainly on observational studies. It analyses the genetic variants of different individuals usually associated with a specific trait. Moreover, the whole genome is important for GWAS analysis.
GWAS is an important tool in the analysis of single nucleotide polymorphisms associated with various disease conditions. This is also a comparative study of the different single nucleotide polymorphisms across a wide population. In addition, the study sample of GWAS is very high; hence, it also takes the format of a cross-sectional cohort study.
Furthermore, the first GWAS study took place with regard to myocardial infarction and analyzing the genes associated with myocardial infarction. At present, GWAS plays an important role in determining the genetic background of complex diseases with unknown aetiology.
What are the Similarities Between QTL and GWAS?
- Furthermore, they require bioinformatics tools to deduce and interpret results.
What is the Difference Between QTL and GWAS?
The below infographic summarizes the difference between QTL and GWAS in tabular form.
概括– QTL vs GWAS
1. “Example of a Genome-wide QTL-Scan from PLoS Biology” By – Styrkarsdottir U, Cazier JB, Kong A, Rolfsson O, Larsen H, et al. (2003) Linkage of Osteoporosis to Chromosome 20p12 and Association to BMP2. PLoS Biol 1(3): e69(CC BY 2.5)viaCommons Wikimedia
2. Bush WS和Moore JH - Bush WS，Moore JH（2012）第11章：全基因组协会研究的“ GWAS疾病等位基因效应”。PLOS Comput Biol 8（12）：E1002822。doi：10.1371/journal.pcbi.1002822，(CC BY 2.5)viaCommons Wikimedia