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Genome-Wide Association Study (GWAS) of Plant

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INTRODUCTIONS

Research on DNA Level of Plant

Genome-wide association study (GWAS) is a research strategy for studying the phenotype-genotype relationship at the population level. GWAS is to re-sequence the whole genome of each individual in a population with rich genetic diversity, and detect the genotype information of millions of molecular markers (SNP, CNV, etc.). Then combined with the phenotype data of the target trait, based on certain statistical methods, the correlation analysis between the individual phenotype and genotype in the population is carried out to quickly obtain the chromosome segment or gene locus that affects the phenotypic variation of the target trait, so as to analyze the complex impact Genetic variation of traits. This technology is mainly used in the research of various quantitative traits of animals and plants and the research of various human phenotypes/complex diseases.

SERVICES

With years of rich experience, Lifeasible provides genome-wide association study (GWAS) service. We provide a one-stop service model. We complete a series of processes from sample extraction, quality testing, sequencing, biological information analysis to making reports.

Workflow of genome-wide association study (GWAS)

Workflow of genome-wide association study (GWAS)

Analysis content

  • Standard analysis

Raw data filtering

Data comparison

SNP and indel detection

  • Advanced analysis

Linkage disequilibrium analysis

Analysis of population structure (PCA, evolutionary tree construction, group structure analysis)

Polymorphism analysis

Candidate gene extraction and mutation annotation

  • Personality analysis

Phenotypic analysis

Genotype analysis

GWAS analysis (simple generalized linear model analysis, generalized linear model analysis, mixed linear model analysis, K+Q linear model analysis)

Sample requirements

  • Whole genome resequencing

Sample concentration≥30ng/μl, total amount≥6μg, OD260/280=1.8~2.0.

  • Reduced-representation genome sequencing

Sample concentration≥25 ng/μl, total amount≥2μg, OD260/280=1.8~2.0

  • Recommended sample size is greater than 300

(The amount of DNA required is related to the number of libraries constructed and the type of library)

Project cycle

  • The entire project generally takes about 2 months.

Feedback to customers

  • Raw data
  • A project report includes experimental process, instrument parameters, analysis methods and results, etc.

Service process

Service process

ADVANTAGES

  • Whole-genome association analysis uses the advanced Illumina sequencing platform to quickly and efficiently read high-quality sequencing data.
  • Lifeasible has a high-performance computing platform (HPC) that uses an efficient combination of DELL computing nodes and Isilon storage to achieve fast and stable sequencing data analysis and delivery.
  • Our experienced researchers help you with scientific plan design.
  • Personalized customized package service.

※ It should be noted that our service is only used for research.

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