课题基金 / 基金详情

Functional Effects of Ovarian Cancer Risk Variants

Functional Effects of Ovarian Cancer Risk Variants
卵巢癌风险变异的功能影响
批准号:
9216819
负责人:
MATTHEW L FREEDMAN
金额:
$68.65万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-01-01 至 2021-12-31
关键词:

项目摘要

项目成果

MATTHEW L FREEDMAN的其他基金

相似基金

相关文献

中文摘要
翻译
摘要
英文摘要
Abstract Genome wide association studies (GWAS) have so far identified more than 20 common low penetrance variants for ovarian cancer; but it is estimated that thousands more risk variants await discovery. In the post-GWAS era a complex set of challenges for the identification, functional characterization and utility of susceptibility alleles have emerged including: (i) Identifying the causal genetic variants and regulatory targets driving cancer development at risk loci; (ii) Identifying the susceptibility genes associated with risk variants; (iii) Establishing if there are common biological networks that explain the functional mechanisms underlying multiple risk loci. Clinically, identifying the genetic risk component of ovarian cancer will likely lead to improved disease prevention through population screening and disease prevention strategies; and understanding the function of risk loci may lead to the discovery of clinical biomarkers and novel targeted therapies, analogous to the paradigm of PARP therapy for BRCA1 or BRCA2 mutation carriers. The current proposal is designed to address many of these challenges for ovarian cancer in the post- GWAS era including: (1) Identifying additional novel, common variant susceptibility alleles for the different histological subtypes of ovarian cancer; (2) Establishing the functional mechanisms driving disease at ovarian cancer risk loci based on the identification and characterization of the likely casual SNPs and targets susceptibility genes are risk loci; (3) Using genome wide profiling of functional models based on perturbation of ovarian cancer susceptibility genes, to identify common mechanisms and biological pathways driving tumorigenesis; (4) To integrate functional datasets with genetic association datasets to improve the power of these studies to identify additional ovarian cancer susceptibility loci.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Developmental Research Program
  • 批准号:
    10628277
  • 项目类别:
  • 资助金额:
    $24.91万
  • 财政年份:
    2023
  • 负责人:
    MATTHEW L FREEDMAN
  • 依托单位:
Elucidating prostate cancer risk mechanisms through large-scale cistrome wide association studies
  • 批准号:
    10686418
  • 项目类别:
  • 资助金额:
    $66.05万
  • 财政年份:
    2022
  • 负责人:
    MATTHEW L FREEDMAN
  • 依托单位:
Common biology underlying pleiotropic breast, prostate and ovarian cancer risk loci
  • 批准号:
    10366397
  • 项目类别:
  • 资助金额:
    $66.84万
  • 财政年份:
    2022
  • 负责人:
    MATTHEW L FREEDMAN
  • 依托单位:
Common biology underlying pleiotropic breast, prostate and ovarian cancer risk loci
  • 批准号:
    10684639
  • 项目类别:
  • 资助金额:
    $62.27万
  • 财政年份:
    2022
  • 负责人:
    MATTHEW L FREEDMAN
  • 依托单位:
海外基金