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Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

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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Updated: Jun 26, 2025

Isolation and Quantification of Zika Virus from Multiple Organs in a Mouse

Isolation and Quantification of Zika Virus from Multiple Organs in a Mouse

Published on: August 15, 2019

机构邮政代码特征与NIH资金之间的关联

Ryan Huebinger¹, Ryan A Coute², Mandy J Hill³

¹The University of New Mexico, Albuquerque, NM, USA.

Health promotion practice

|May 11, 2024

概括

机构的社区人口统计与国家卫生研究院 (NIH) 资金有关,但单独的邮政编码数据不足以评估资金差异. 需要提高数据透明度,以解决赠款资金中的不平等问题.

关键词:

美国国家卫生研究院 (NIH)不同的差异,不平等的差异.补助金补助金补助金补助金竞争竞争竞争竞争研究资金研究资金研究资金.社会经济地位社会经济地位

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Peptide-based Identification of Functional Motifs and their Binding Partners

Peptide-based Identification of Functional Motifs and their Binding Partners

Published on: June 30, 2013

Zika Virus Specific Diagnostic Epitope Discovery

Zika Virus Specific Diagnostic Epitope Discovery

Published on: December 12, 2017

相关实验视频

Last Updated: Jun 26, 2025

Isolation and Quantification of Zika Virus from Multiple Organs in a Mouse

Isolation and Quantification of Zika Virus from Multiple Organs in a Mouse

Published on: August 15, 2019

Peptide-based Identification of Functional Motifs and their Binding Partners

Peptide-based Identification of Functional Motifs and their Binding Partners

Published on: June 30, 2013

Zika Virus Specific Diagnostic Epitope Discovery

Zika Virus Specific Diagnostic Epitope Discovery

Published on: December 12, 2017

科学领域:

医疗保健服务研究医疗服务研究
健康差异在健康上的差异
生物医学研究资助

背景情况:

国家卫生研究院 (NIH) 资助中的种族差异已被记录.
机构社区人口统计和NIH资金之间的关系仍未得到充分探索.

研究的目的:

调查美国人口普查定义的机构邮政编码特征与NIH赠款资金水平之间的关联.
确定社区人口统计学是否预测NIH资金分配.

主要方法:

将NIH RePORTER数据 (2011-2021) 与美国人口普查数据对3971个邮政编码进行了链接.
计算了每所机构的NIH总资金,并将机构分层分为资金四分之一.
使用顺序回归来分析邮政编码种族/种族,社会经济地位和补助资金四分位数之间的关联.

主要成果:

在邮政编码中,失业率较高,高中毕业率较高,白人居民比例较低,黑人和西班牙裔/拉丁裔居民比例较高的机构获得了更高的NIH补助资金四分位数.
在邮政编码内的家庭收入和NIH补助资金四分位数之间没有发现显著的关联.
资金分配显示,从最高四分位数 (435万美元) 到最低四分位数 (0.25亿美元) 的资金大幅下降.

结论:

邮政编码人口统计数据本身不足以对NIH资金差异进行全面评估.
机构邮政编码人口统计和调查人员人口统计之间的复杂相互作用需要进一步调查.
提高资助受益人数据的可访问性和透明度对于准确评估和纠正资助不平等至关重要.