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Genome-wide Association Analysis

Genome-wide association study (GWAS) aims at identifying genetic variants (genotype) that associated with specific traits (phenotype). GWAS study investigates genetic markers cross whole genome of large number of individuals and predicts genotype-phenotype associations by statistical analysis at population level. It has been widely applied in research on human diseases and functional gene mining on complex traits of animals or plants.


Service Details

Demo Result

Featured Publication

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1.Service Advantages

● Abundant Project Cases: since its establishment in 2009, BMKGENE has completed hundreds of species projects in population GWAS research, assisted researchers to publish more than 100 articles, and the cumulative impact factor reached 500.
● Professional analysts.
● Short analysis cycle.
● Accurate data mining.

2. Service Specifications

Type

Population Scale

Sequencing strategy and depth

 SLAF-GWAS  Sample number ≥200  Genome size < 400M, with ref-genome, WGS is recommended

Genome size ≤ 1G, 100K Tags and 10X

1G ≤ Genome size ≤ 2G, 200K Tags and 10X

Genome size > 2G, 300K Tags and 10X

WGS-GWAS

Sample number ≥200

10X for each sample

3. Material Selection

动物1
动物2
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Different varieties, subspecies, landraces/genebanks/mixed families/wild resources

Different varieties, subspecies, landraces

Half-sib family/full-sib family/wild resources

4. Bioinformation Analysis

● Genome-wide association analysis
● Analysis and screening of significant SNP
● Functional annotation of candidate gene

5. Service Work Flow

Sample QC

Experiment design

sample delivery

Sample delivery

Pilot experiment

RNA extraction

Library Preparation

Library construction

Sequencing

Sequencing

Data analysis

Data analysis

After sale Services

After-sale services


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  • a. Phenotype QC

    Frequency distribution histogram

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    Phenotype statistics

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    b. Association analysis (Model: GEMMA, FaST-LMM, EMMAX)

    Q-Q Plot

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    Manhattan Plot

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    Year

    Journal

    IF

    Title

    2022

    NC

    17.69

    Genomic basis of the giga-chromosomes and giga-genome of tree peony Paeonia ostii

    2015

    NP

    7.43

    Domestication footprints anchor genomic regions of agronomic importance in soybeans

    2018

    MP

    9.32

    Whole-genome resequencing of a world-wide collection of rapeseed accessions reveals genetic basis of their ecotype divergence

    2022

    HR

    7.29

    Genome-wide association analysis provides molecular insights into the natural variation of watermelon seed size

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