Complex statistical analyses of genome-wide association studies related to breast and prostate cancers using high performance supercomputing

使用高性能超级计算对与乳腺癌和前列腺癌相关的全基因组关联研究进行复杂的统计分析

• 批准号: nhmrc : 1033452
• 负责人: A/Pr Daniel Park
• 金额: $ 43.75万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Project Grants
• 财政年份: 2012
• 资助国家: 澳大利亚
• 起止时间: 2012-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/complex-statistical-analyses-performance-supercomputing/110893
• 关键词: Complex; statistical; analyses; genome; wide

Breast and prostate cancers are the most common cancers in Australian women and men. Simple analyses of genome-wide association (GWAS) studies explain only a fraction of why these cancers run in families. The University of Melbourne now has a supercomputer that can conduct much more complex analyses. We will apply these to the world’s GWAS data for breast and prostate cancers. We hope to learn more about the causes of these cancers, and expand an expert Australian workforce in supercomputing.

乳腺癌和前列腺癌是澳大利亚女性和男性最常见的癌症。全基因组关联（GWAS）研究的简单分析只能解释这些癌症在家族中传播的一小部分原因。墨尔本大学现在拥有一台超级计算机，可以进行更复杂的分析。我们将把这些应用到全球乳腺癌和前列腺癌的 GWAS 数据中。我们希望更多地了解这些癌症的原因，并扩大澳大利亚超级计算领域的专家队伍。