CD Genomics-the genomics service company
Genome-wide association study (GWAS)
Genome-wide association study (GWAS)
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Genome-wide association study (GWAS)

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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

Genome-wide association study (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
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