单基因病无创产前诊断的开发

该数据集来自 clinicaltrials.gov,围绕单基因病无创产前诊断的开发,涉及有单基因病家族史背景下的侵入性产前诊断,涵盖镰状细胞病、囊性纤维化、脆性X综合征、近端脊髓性肌萎缩、肌强直性营养不良以及Duchenne型和Becker型肌营养不良等病种

Assistance Publique - Hôpitaux de ParisAssistance Publique - Hôpitaux de Paris
clinicaltrials
浏览 9
基因组分类Sickle Cell DiseaseCystic FibrosisFragile X SyndromeProximal Spinal Muscular AtrophyMyotonic DystrophyMuscular Dystrophy, DuchenneMuscular Dystrophy, BeckerNeurofibromatosis-Noonan SyndromeHuntington DiseaseHemophilia AHemophilia BMODY2 Diabetes
Development of Non-Invasive Prenatal Diagnosis for Single Gene Disorders

基本信息

模态
基因组
任务类型
分类
创建/更新时间
2026-10-12

资源简介

单基因病无创产前诊断的开发

该数据集来自 clinicaltrials.gov,围绕单基因病无创产前诊断的开发,涉及有单基因病家族史背景下的侵入性产前诊断,涵盖镰状细胞病、囊性纤维化、脆性X综合征、近端脊髓性肌萎缩、肌强直性营养不良以及Duchenne型和Becker型肌营养不良等病种。源站描述回顾了自1997年母体血浆中cffDNA被发现以来,利用其进行产前诊断与筛查的快速发展,并提及2008年首批利用母体血浆cfDNA检测胎儿非整倍体的原理验证研究及随后的快速商业化,以及当前非侵入性产前检测(NIPT)在全球作为常见胎儿三体筛查试验的广泛应用(来源 clinicaltrials.gov)。

【数据内容】

源站描述(机器翻译,仅供参考):条件:有单基因病家族史背景下的侵入性产前诊断,包括镰状细胞病、囊性纤维化、脆性X综合征、近端脊髓性肌萎缩、肌强直性营养不良、Duchenne型肌营养不良、Becker型肌营养不良。自1997年母体血浆中cffDNA被鉴定以来,利用其存在进行产前诊断和筛查方面发展迅速。2008年发表了首批利用母体血浆cfDNA检测胎儿非整倍体的原理验证研究,此后迅速商业化。如今,针对非整倍体的非侵入性产前检测(NIPT)已在世界范围内广泛用作最常见胎儿三体的筛查试验。与非侵入性产前检测不同——后者阳性结果需要侵入性检测确认——非侵入性产前

【主题与分类】

主题标签:Sickle Cell Disease、Cystic Fibrosis、Fragile X Syndrome、Proximal Spinal Muscular Atrophy、Myotonic Dystrophy、Muscular Dystrophy, Duchenne、Muscular Dystrophy, Becker、Neurofibromatosis-Noonan Syndrome、Huntington Disease、Hemophilia A。本站分类:精神与行为障碍。

【获取与许可】

源站页面:https://clinicaltrials.gov/study/NCT06147414

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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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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

源站:https://clinicaltrials.gov/study/NCT06147414

标准获取流程:

  1. 访问源站链接,注册/登录账号;
  2. 进入数据集详情页,按页面指引申请权限或直接下载;
  3. 部分平台提供 SDK,例如:
    • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
    • ModelScope: pip install modelscope 后 modelscope download
    • 天池: 登录后页面提供直链下载
      以源站「数据下载/使用文档」页面为准。

数据说明

Conditions: Invasive PreNatal Diagnosis in a Context of Family History of Single-gene Disorders, Including, Sickle Cell Disease, Cystic Fibrosis, Fragile X Syndrome, Proximal Spinal Muscular Atrophy, Myotonic Dystrophy, Muscular Dystrophy, Duchenne, Muscular Dystrophy, Becker. Since the identification of cffDNA in maternal plasma in 1997, there have been rapid developments in exploiting its presence for prenatal diagnosis and screening. The first proof of principle studies using cfDNA from maternal plasma to detect fetal aneuploidy were published in 2008 following which there was rapid commercialization. Nowadays, non-invasive prenatal testing (NIPT) for aneuploidies is widely used across the world as a screening test for the most frequent fetal trisomies. Unlike non-invasive prenatal testing, where a positive result requires confirmation following an invasive test, non-invasive prenatal diagnosis (NIPD) offers the advantage of a definitive diagnosis without an invasive procedure - and its associated miscarriage risk - because confined placental mosaicism does not occur with NIPD for single-gene disorders (SGD). NIPD can be offered earlier in pregnancy than invasive testing, from 7 weeks of gestation. This can reduce parental anxiety and allows more time for decision-making and planning. Indeed, there are substantial challenges to overcome for SGD-NIPD. i/ Circulating cffDNA, which is released from the placenta from about 4 weeks gestation, makes up only 5%-20% of total circulating cfDNA in maternal plasma. This percentage increases with gestation and is influenced by factors such as maternal weight, smoking, and pregnancy complications such as preeclampsia. Consequently, optimized techniques and highly sensitive detection approaches are required to detect variants in the fetal DNA. ii/ fetal fraction must be calculated to confirm that there are sufficient levels of cffDNA present and to avoid false negative results. iii/ Another issue is the short fragment length of cffDNA, which makes detection of triplet repeats and large deletions or duplications challenging. Besides fetal sex determination and fetal Rhesus D status, principal investigator’s team was the fir

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。

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