课题基金 / 基金详情

Lost-of-function variants in the 1000 genomes data set and implications to GWAS

Lost-of-function variants in the 1000 genomes data set and implications to GWAS
1000 个基因组数据集中的功能丧失变异及其对 GWAS 的影响
批准号:
7882977
负责人:
HONGYU ZHAO
金额:
$26.2万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-13 至 2012-06-30

项目摘要

项目成果

HONGYU ZHAO的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by applicant): The 1000 Genomes Project is an international research consortium whose aim is to produce a detailed map of human genetic variation to support disease studies with major sequencing effort. This project involves sequencing the genomes of at least a thousand people from around the world to facilitate the discovery and understanding of genetic variants such as single nucleotide polymorphisms and structural variants. The data generated from this project will help in the discovery of regions in the genome containing genetic variations associated with risk of human diseases as previously attempted by efforts such as the HapMap Project. However, there are significant challenges in the analysis, annotation, and applications of these data to guide the identifications of variants associated with diseases and various traits. In this application, we will focus on loss-of-function variants because they represent a major class of genetic variations that are potentially involved in complex traits, and we believe a comprehensive characterization of these variants and making the knowledge gained available to the general research community will facilitate the identifications of genes involved in complex traits. To accomplish this objective, we will develop a bioinformatics pipeline to identify loss-of-function variants from the 1000 genome data, associate them with other types of information accumulated in the literature and public databases, such as gene ontology, protein interactions, expression profiles, investigate the best approaches to attain the genotypes of these variants in population samples, and develop statistical methods to incorporate the annotation results to increase the statistical power to identify loss of function variants affecting complex traits. We will disseminate the methods and results to the public both through a stand-alone application focusing of loss of function variants as well as through collaboration with the UCSC Genome Browser team to add tracks on their browser to different types of information on these loss of function variants. We believe that this proposed project will generate very valuable resources to the scientific community that can significantly enhance our understanding of loss of function variants in human populations and use such knowledge to more effectively improve human health. RELEVANCE: The research proposal is developed to generate very valuable resources to the scientific community that can significantly enhance our understanding of loss of function variants in human populations and use such knowledge to more effectively improve human health.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Statistical Methods for Genetic Risk Predictions across Diverse Populations
  • 批准号:
    10662188
  • 项目类别:
  • 资助金额:
    $56.87万
  • 财政年份:
    2022
  • 负责人:
    HONGYU ZHAO
  • 依托单位:
Statistical Methods for Genetic Risk Predictions across Diverse Populations
  • 批准号:
    10391800
  • 项目类别:
  • 资助金额:
    $57.92万
  • 财政年份:
    2022
  • 负责人:
    HONGYU ZHAO
  • 依托单位:
Data Management Core
  • 批准号:
    10698039
  • 项目类别:
  • 资助金额:
    $24.66万
  • 财政年份:
    2022
  • 负责人:
    HONGYU ZHAO
  • 依托单位:
Statistical Methods for Genetic Risk Predictions across Diverse Populations
  • 批准号:
    10731582
  • 项目类别:
  • 资助金额:
    $8.39万
  • 财政年份:
    2022
  • 负责人:
    HONGYU ZHAO
  • 依托单位:
海外基金