121个遗传变异与2型糖尿病的关联

墨西哥东北部人群中121个遗传变异与2型糖尿病关联的基因型数据集,包含442名受试者,用于遗传关联分析。

NIAID Data Ecosystem
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基因组genotypesT2DMSNP allele frequency analysisGeneticsBioinformaticsPathologyMolecular BiologyMedicine
The association of T2D with a set of 121 genetic variants

基本信息

模态
基因组
大小
0.000250716 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v2

资源简介

121个遗传变异与2型糖尿病的关联

【一句话概览】

本数据集是 figshare 公开的组学数据集,收录 1 个文件、合计 250.72 KB,主题涵盖 genotypes、T2DM、SNP allele frequency analysis、Genetics、Bioinformatics,可用于生物标志物发现与分子分型研究,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《The association of T2D with a set of 121 genetic variants》。源站首次发布:2022-07-20。

【数据内容】

源站原始描述:Type 2 Diabetes Mellitus (T2D) is classified as a multifactorial and polygenic disease. The search for T2D associated DNA variants is complex; population studies are essential to assess the genetic influence. Association of T2D with a set of 121 genetic variants (63 located in 37 genes and four intergenic regions, and 58 informative ancestry markers) was assessed in 442 subjects (262 cases and 180 controls) from Northeastern Mexico. The approach was made using different transmission models: domi…

【数据结构与技术规格】

文件数 1 个,合计 250.72 KB。GENOTYPE FREQ 6 MZO 2022.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,250.72 KB。数据集 DOI:10.6084/m9.figshare.19316045.v2。

【主题与分类】

源站学科分类:Genetics not elsewhere classified、Bioinformatics and computational biology not elsewhere classified、Anthropological genetics、Behavioural genetics、Pathology (excl. oral pathology)、Oral medicine and pathology。主题标签:genotypes、T2DM、SNP allele frequency analysis、Genetics、Bioinformatics、Pathology、Molecular Biology、Medicine。

【适用方向】

组学数据适用于生物标志物发现与分子分型相关建模研究。

【获取与许可】

源站页面:https://figshare.com/articles/dataset/GENOTYPE_FREQ_6_MZO_2022_xlsx/19316045

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Gallardo Blanco, Hugo Leonid (2022). The association of T2D with a set of 121 genetic variants. figshare. Dataset

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "GENOTYPE FREQ 6 MZO 2022.xlsx" "https://ndownloader.figshare.com/files/34305905"

文件清单

  • GENOTYPE FREQ 6 MZO 2022.xlsx(250.72 KB)

文件总体积 250.72 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

Type 2 Diabetes Mellitus (T2D) is classified as a multifactorial and polygenic disease. The search for T2D associated DNA variants is complex; population studies are essential to assess the genetic influence. Association of T2D with a set of 121 genetic variants (63 located in 37 genes and four intergenic regions, and 58 informative ancestry markers) was assessed in 442 subjects (262 cases and 180 controls) from Northeastern Mexico. The approach was made using different transmission models: dominant, recessive, and MLMM. Age, body mass index (BMI), and gender data were obtained and considered as cofactors (gene-environment (G × E) interaction) in a multi-locus genetic model, and the ORs were calculated. Genetic variants were classified as Regulatory Region Variants, Nonsense-mediated decay transcript variants, and Missense Variants. Thirteen genetic variants showed association (PRPTOR (rs12950541 p-32) and UCP3 (rs7930460 and rs1800849 p-16 and 4.64x 10-7, respectively) with the additive genetic model (MLMM). These results can contribute to understanding the role of genetic variants on the risk of developing T2D in the Northeastern Mexican mestizo population and support future studies to evaluate and validate as biomarkers to improve genetic assessment via precision medicine.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.19316045.v2(source: https://figshare.com/articles/dataset/GENOTYPE_FREQ_6_MZO_2022_xlsx/19316045)。

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