利用两个不同人群的全基因组关联数据识别颅内动脉瘤通路标志物

数据集获取（Figshare）

• 源站标题：The Identification of Pathway Markers in Intracranial Aneurysm Using Genome-Wide Association Data from Two Different Populations
• DOI：10.1371/journal.pone.0057022
• 发布日期：2013-03-07
• 文件数：5 个
• 文件总体积：547.33 KB
• 源站页面：https://plos.figshare.com/articles/dataset/The_Identification_of_Pathway_Markers_in_Intracranial_Aneurysm_Using_Genome_Wide_Association_Data_from_Two_Different_Populations__/645567

命令行下载

curl -L -o "Table_S1.xls" "https://ndownloader.figshare.com/files/978622"
curl -L -o "Table_S2.xls" "https://ndownloader.figshare.com/files/978623"
curl -L -o "Table_S3.xls" "https://ndownloader.figshare.com/files/978624"
curl -L -o "Table_S4.doc" "https://ndownloader.figshare.com/files/978625"
curl -L -o "Table_S5.doc" "https://ndownloader.figshare.com/files/978630"

文件清单

• Table_S1.xls（247.81 KB）
• Table_S2.xls（138.24 KB）
• Table_S3.xls（40.45 KB）
• Table_S4.doc（53.25 KB）
• Table_S5.doc（67.58 KB）

文件总体积 547.33 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

The identification of significant individual factors causing complex diseases is challenging in genome-wide association studies (GWAS) since each factor has only a modest effect on the disease development mechanism. In this study, we hypothesize that the biological pathways that are targeted by these individual factors show higher conservation within and across populations. To test this hypothesis, we searched for the disease related pathways on two intracranial aneurysm GWAS in European and Japanese case–control cohorts. Even though there were a few significantly conserved SNPs within and between populations, seven of the top ten affected pathways were found significant in both populations. The probability of random occurrence of such an event is 2.44E−36. We therefore claim that even though each individual has a unique combination of factors involved in the mechanism of disease development, most targeted pathways that need to be altered by these factors are, for the most part, the same. These pathways can serve as disease markers. Individuals, for example, can be scanned for factors affecting the genes in marker pathways. Hence, individual factors of disease development can be determined; and this knowledge can be exploited for drug development and personalized therapeutic applications. Here, we discuss the potential avenues of pathway markers in medicine and their translation to preventive and individualized health care.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0057022（source: https://plos.figshare.com/articles/dataset/The_Identification_of_Pathway_Markers_in_Intracranial_Aneurysm_Using_Genome_Wide_Association_Data_from_Two_Different_Populations__/645567）。