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Research at a Glance

Version 3.1 by Ryan C on 2025/03/16 01:54

Research at a Glance

Introduction

Welcome to the Research at a Glance repository. This section serves as a centralized reference hub for key academic studies related to various fields such as social psychology, public policy, behavioral economics, and more. Each study is categorized for easy navigation and presented in a collapsible format to maintain a clean layout.

How to Use This Repository

- Click on a category in the Table of Contents to browse studies related to that topic.
- Click on a study title to expand its details, including key findings, critique, and relevance.
- Use the search function (Ctrl + F or XWiki's built-in search) to quickly find specific topics or authors.
- If needed, you can export this page as PDF or print-friendly format, and all studies will automatically expand for readability.

Research Studies Repository

title="Study: Genetic Structure, Self-Identified Race/Ethnicity, and Confounding"}
Source: Journal of Genetic Epidemiology  
Date of Publication: 2024-01-15  
Author(s): Smith et al.  
Title: "Genetic Structure, Self-Identified Race/Ethnicity, and Confounding in Case-Control Association Studies"  
DOI: [https://doi.org/10.1037/1076-8971.11.2.235](https://doi.org/10.1037/1076-8971.11.2.235)  
Subject Matter: Genetics, Social Science  

Tags: `Genetics` `Race & Ethnicity` `Biomedical Research`

Key Statistics

  1. General Observations:
       - A near-perfect alignment between self-identified race/ethnicity (SIRE) and genetic ancestry was observed.
       - Misclassification rate: 0.14%.

2. Subgroup Analysis:
   - Four groups analyzed: White, African American, East Asian, and Hispanic.
   - Hispanic genetic clusters showed significant European and Native American lineage.

Findings

- Self-identified race strongly aligns with genetic ancestry.
- Minor discrepancies exist but do not significantly impact classification.

Relevance to Subproject

- Reinforces the reliability of self-reported racial identity in genetic research.
- Highlights policy considerations in biomedical studies.