Table_6_基于台湾电子病历的甲状腺功能亢进症全基因组关联研究

数据集获取（Figshare）

• 源站标题：Table_6_Genome-wide association study of hyperthyroidism based on electronic medical record from Taiwan.xlsx
• DOI：10.3389/fmed.2022.830621.s007
• 发布日期：2022-07-27
• 文件数：1 个
• 文件总体积：17.59 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_6_Genome-wide_association_study_of_hyperthyroidism_based_on_electronic_medical_record_from_Taiwan_xlsx/20380839

命令行下载

curl -L -o "Table_6_Genome-wide association study of hyperthyroidism based on electronic medical record from Taiwan.xlsx" "https://ndownloader.figshare.com/files/36427800"

文件清单

• Table_6_Genome-wide association study of hyperthyroidism based on electronic medical record from Taiwan.xlsx（17.59 KB）

文件总体积 17.59 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

Excess thyroid hormones have complex metabolic effects, particularly hyperthyroidism, and are associated with various cardiovascular risk factors. Previous candidate gene studies have indicated that genetic variants may contribute to this variable response. Electronic medical record (EMR) biobanks containing clinical and genomic data on large numbers of individuals have great potential to inform the disease comorbidity development. In this study, we combined electronic medical record (EMR) -derived phenotypes and genotype information to conduct a genome-wide analysis of hyperthyroidism in a 35,009-patient cohort in Taiwan. Diagnostic codes were used to identify 2,767 patients with hyperthyroidism. Our genome-wide association study (GWAS) identified 44 novel genomic risk markers in 10 loci on chromosomes 2, 6, and 14 (P < 5 × 10–14), including CTLA4, HCP5, HLA-B, POU5F1, CCHCR1, HLA-DRA, HLA-DRB9, TSHR, RPL17P3, and CEP128. We further conducted a comorbidity analysis of our results, and the data revealed a strong correlation between hyperthyroidism patients with thyroid storm and stroke. In this study, we demonstrated application of the PheWAS using large EMR biobanks to inform the comorbidity development in hyperthyroidism patients. Our data suggest significant common genetic risk factors in patients with hyperthyroidism. Additionally, our results show that sex, body mass index (BMI), and thyroid storm are associated with an increased risk of stroke in subjects with hyperthyroidism.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fmed.2022.830621.s007（source: https://frontiersin.figshare.com/articles/dataset/Table_6_Genome-wide_association_study_of_hyperthyroidism_based_on_electronic_medical_record_from_Taiwan_xlsx/20380839）。