Genome-wide association study (GWAS)

Genome-wide association study (GWAS) is to sequence each individual in a population with rich genetic diversity combined with the phenotypic data of target traits to perform genome-wide association analysis based on certain statistical methods, which can quickly obtain the chromosome segment or gene locus that affect the phenotypic variation of the target trait. GWAS is not affected by the reference genome, which can quickly and accurately realize the efficient positioning of multiple target trait genes. It has the advantages of "wide sources of materials, abundant genetic variations, and comprehensive character positioning", and has been widely used in many species. According to different species and different characteristics of genome, sequencing of each individual can be accomplished by different sequencing methods.

Workflow of GWAS

Advantages of GWAS

• Whole genome-wide investigation
• High resolution, based on single base
• Wide range of research materials and rich variations available

	Sample Requirements Natural populations with reference genome ≥200; multiple minor loci-controlled trait populations ≥500 No obvious subgroup differentiation among samples Strong heritability of the studied phenotypic traits DNA sample: ~1.0 μg (concentration ≥ 10 ng/μl; OD260/280=1.8~2.0)
	Sequencing WGS: 10X/sample based on SNP; 30X/sample based on CNV GBS: 10~20W Tags; average 8 X/Tag Illumina Hiseq Analysis of sequencing quality metrics
	Bioinformatics Analysis We provide customized bioinformatics analysis including: Raw data QC Reference alignment or assembling LD decay distance analysis PCA, structure, kinship analysis GWAS analysis LD block analysis Personalized analysis Delivery Raw data(FASTQ) Significant SNP information QQ-plot and Manhattan plot Data analysis report