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Related Concept Videos

Peripheral Artery Disease III: Interprofessional Care01:27

Peripheral Artery Disease III: Interprofessional Care

Peripheral Artery Disease (PAD) is characterized by narrowed arteries that diminish blood flow to the extremities. Effective management of PAD requires an interprofessional approach involving various healthcare professionals. The critical aspects of interprofessional care for PAD patients focus on risk factor modification, drug therapy, exercise therapy, nutrition therapy, critical limb ischemia care, and interventional radiology and surgical procedures.The primary treatment goal for PAD...
Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation01:21

Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation

Clinical manifestationsPeripheral Arterial Disease (PAD) manifests through a range of symptoms, from the characteristic intermittent claudication to atypical presentations and severe complications in advanced stages. Intermittent claudication, a hallmark symptom of PAD, presents as exercise-induced muscle pain that typically resolves within minutes of rest. This pain is reproducible and stems from inadequate blood flow, leading to the accumulation of lactic acid produced during anaerobic...
Peripheral Artery Disease I: Introduction01:30

Peripheral Artery Disease I: Introduction

Peripheral artery disease (PAD) predominantly results from atherosclerosis, which involves the accumulation of fatty deposits, or plaques, within the walls of arteries. This causes them to narrow and harden, significantly reducing blood flow. PAD predominantly affects the legs, particularly the arteries supplying the thighs and calves. In rare cases, it may involve other arteries, including those in the arms.Etiology of PAD:The principal cause of PAD is atherosclerosis, which results from fatty...
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Pedigree Analysis01:35

Pedigree Analysis

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Updated: Jul 11, 2026

The ITS2 Database
16:17

The ITS2 Database

Published on: March 12, 2012

PADB: published association database.

Hwanseok Rhee1, Jin-Sung Lee

  • 1Department of Clinical Genetics, Yonsei University College of Medicine, Seoul, Korea. hwanseok@yonsei.ac.kr

BMC Bioinformatics
|September 20, 2007
PubMed
Summary

A new database, PADB, integrates genetic and environmental risk factors for complex diseases, linking to pathway and HapMap data. It enables researchers to efficiently review and interpret vast association data, improving disease etiology investigations.

Area of Science:

  • Biomedical Informatics
  • Genetics
  • Epidemiology

Background:

  • Current genetic association databases lack comprehensive molecular pathway and HapMap Project data.
  • Existing databases inadequately include environmental risk factors and gene-environment interactions.
  • Risk measures of genetic associations are not systematically indexed in current databases.

Purpose of the Study:

  • To develop a comprehensive database integrating genetic associations, environmental risk factors, and molecular pathway information.
  • To enhance the investigation of complex disease etiology by providing linked genetic and environmental data.
  • To facilitate the interpretation of large-scale association studies through structured data retrieval.

Main Methods:

  • Developed the Published Association Database (PADB) by extracting data from PubMed abstracts.

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  • Linked genetic risk factors to molecular pathway and HapMap databases using human gene symbols.
  • Automated extraction of risk measures (e.g., odds ratios, hazard ratios) from abstracts.
  • Enabled sorting of association data by risk measures and grouping by genes or pathways.

    • Main Results:

    • PADB indexes over 1,500,000 PubMed abstracts.
    • Includes data on 3442 human genes and 461 molecular pathways.
    • Contains approximately 190,000 risk measures with a wide range.
    • Allows users to save search results for further analysis.

    Conclusions:

    • PADB is a unique online resource for published genetic and environmental associations.
    • It provides a powerful platform for reviewing and interpreting complex human disease association data.
    • Facilitates a more effective understanding of the etiology of complex diseases.