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GENETICS

GENETICS
遗传学
批准号:
8376401
负责人:
Christopher S Carlson
金额:
$0.26万
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
未结题
起止时间:
至

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中文摘要
翻译
摘要:遗传学核心将为适当的项目协调基因型数据的收集。这些数据将主要是用于估计个体祖先的祖先信息标记(AIMs)。该核心将引导项目的目标选择,以提供所研究的拉丁人口的最大信息,以及实际产生祖先估计。基因型数据的实际收集将在项目的第5年进行,原因有三。首先,单批进行基因分型更具成本效益(且技术上一致)。由于一些项目可能要到第4年才能完成招募,因此谨慎的做法是将基因分型推迟到招募完成。将基因分型推进到第4年的另一个原因是技术上的:在未来几年里,不仅AIM小组可能会针对西班牙裔人口进行改进,而且收集基因型的成本也会逐年下降。因此,通过延迟基因型收集工作,直到所有样本都可用,我们可以最大化AIM面板的信息内容,并最小化收集数据的成本。
英文摘要
Abstract: The Genetics core will coordinate the collection of genotype data for the appropriate projects. These data will primarily be ancestry informative markers (AIMs) for the estimation of individual ancestry. The core will both lead the selection of AIMs for the project, to provide maximal information in the Latina populations studied, as well as actually generate the ancestry estimates. The actual collection of the genotype data will be performed in year 5 of the project, for three reasons. First, genotyping is much more cost effective (and technically consistent) when performed in a single batch. Because several of the projects may not complete recruitment until year 4, it is prudent to delay genotyping until recruitment is complete. The other reason to push genotyping into year 4 is technical: not only is it likely that AIM panels will tie refined for Hispanic populations over the coming years, but the cost of collecting genotypes tends to decrease with each year. Thus, by delaying the genotype collection effort until all samples are available, we can maximize the information content of the AIM panel, and minimize the cost of collecting the data.
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会议论文
Monitoring disease progression in follicular lymphoma with next-gen sequencing
Monitoring disease progression in follicular lymphoma with next-gen sequencing
  • 批准号:
    10602854
  • 项目类别:
  • 资助金额:
    $22.63万
  • 财政年份:
    2015
  • 负责人:
    Christopher S Carlson
  • 依托单位:
Impact of primary tumor development stage on prognosis and outcome in B-ALL
GENETICS
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: