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Related Concept Videos

The Central Dogma01:20

The Central Dogma

The central dogma explains the flow of genetic information from DNA nucleotides to the amino acid sequence of proteins.
RNA is the Missing Link Between DNA and Proteins
In the early 1900s, scientists discovered that DNA stores all the information needed for cellular functions and that proteins perform most of these functions. However, the mechanisms of converting genetic information into functional proteins remained unknown for many years. Initially, it was believed that a single gene is...
The Central Dogma01:25

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Overview
DNA as a Genetic Template02:05

DNA as a Genetic Template

Two structural features of the DNA molecule provide a basis for the mechanisms of heredity: the four nucleotide bases and its double-stranded nature. The Watson-Crick model of double-helical DNA structure, proposed in 1952, drew heavily upon the X-ray crystallography work of researchers Rosalind Franklin and Maurice Wilkins. Watson, Crick, and Wilkins jointly received the Nobel Prize in Physiology or Medicine for their work in 1962. Franklin was, controversially, excluded from the prize for...
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Evolutionary Relationships through Genome Comparisons02:54

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Updated: May 24, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Published on: December 7, 2021

How anonymous is 'anonymous'? Some suggestions towards a coherent universal coding system for genetic samples.

Harald Schmidt1, Shawneequa Callier

  • 1Center for Health Incentives and Behavioral Economics, Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA. schmidth@mail.med.upenn.edu

Journal of Medical Ethics
|February 21, 2012
PubMed
Summary

The terms "anonymous" or "non-identifiable" for research tissue samples are misleading. A universal coding system is proposed to clarify sample identifiability and maintain public trust in data governance.

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Area of Science:

  • Bioethics
  • Genomics
  • Medical Research

Background:

  • 'Anonymous' tissue samples are commonly used in research to balance privacy with public interest.
  • Current policies suggest re-identification and consent withdrawal are impossible with anonymous samples.
  • Recent scientific advancements challenge the notion of truly anonymous samples.

Purpose of the Study:

  • To address the misleading nature of terms like 'anonymous' and 'non-identifiable' in research sample descriptions.
  • To propose a clearer framework for managing ethical considerations surrounding tissue sample identifiability.
  • To safeguard public trust in the governance of large-scale research databases.

Main Methods:

  • Critical analysis of current terminology and guidance documents regarding research tissue samples.
  • Examination of recent developments in science and consumer-driven genomics.
  • Proposal of a new universal coding system for tissue samples.

Main Results:

  • The terms 'anonymous', 'anonymised', and 'non-identifiable' are conceptually unclear and ethically problematic.
  • Existing terminology can mislead the public and complicate discussions on sample control.
  • The lack of uniform standards for tissue sample taxonomy hinders clarity.

Conclusions:

  • Advocates for the complete removal of terms implying categorical impossibility of re-identification.
  • Recommends a universal, numeral-based coding system to specify incremental levels of identifiability.
  • Emphasizes the need for conceptual clarity to maintain public trust in research data governance.