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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Genomics02:02

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Infinium Assay for Large-scale SNP Genotyping Applications
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Plant-ImputeDB: an integrated multiple plant reference panel database for genotype imputation.

Yingjie Gao1, Zhiquan Yang1, Wenqian Yang1

  • 1Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, P.R. China.

Nucleic Acids Research
|November 2, 2020
PubMed
Summary
This summary is machine-generated.

Plant-ImputeDB offers a valuable resource for plant genotype imputation by providing reference panels for 12 species. This database enhances the density of single nucleotide polymorphisms (SNPs) and supports genetic research.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Plant Science

Background:

  • Genotype imputation is crucial for increasing SNP density and improving genetic association studies.
  • A significant limitation in plant research is the scarcity of high-quality reference panels for genotype imputation.

Purpose of the Study:

  • To develop Plant-ImputeDB, a comprehensive database for plant genotype imputation.
  • To provide online imputation tools, SNP/block search, and data downloads for 12 plant species.

Main Methods:

  • Integrated genotype and whole-genome resequencing data from diverse plant studies.
  • Developed an online platform offering genotype imputation using established tools.
  • Incorporated data from approximately 34,244 samples, covering ~69.9 million SNPs.

Main Results:

  • Established Plant-ImputeDB with high-quality reference panels for 12 plant species.
  • The database provides an accessible online tool for genotype imputation and data exploration.
  • Facilitates the integration of genomic variation data and supports global plant genetic research.

Conclusions:

  • Plant-ImputeDB serves as a vital resource for advancing plant genotype imputation.
  • The database is expected to significantly accelerate research in plant genetics and breeding.
  • Promotes open access to genomic data, fostering collaborative scientific endeavors.