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Related Concept Videos

What is Population Genetics?01:25

What is Population Genetics?

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A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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.
GWAS does not require the identification of the target gene involved in...
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Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

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Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
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Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

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A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
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Updated: Jul 6, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Citizen-centered, auditable and privacy-preserving population genomics.

Dennis Grishin1,2, Jean Louis Raisaro3,4, Juan Ramón Troncoso-Pastoriza5

  • 1Department of Genetics, Harvard Medical School, Boston, MA, USA. dgrishin@g.harvard.edu.

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Protecting genomic data privacy is crucial. Our new system uses advanced cryptography and blockchains for secure, transparent data sharing, addressing major privacy concerns for individuals and researchers.

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Area of Science:

  • Bioinformatics
  • Cryptography
  • Genomic Data Security

Background:

  • Increasing health data breaches and misuse of genomic databases raise significant privacy concerns.
  • Lack of transparency in personal genomics companies further exacerbates these privacy issues.
  • Need for secure and controlled access to sensitive genomic datasets is paramount.

Purpose of the Study:

  • To propose a citizen-centric approach for secure exploration of genomic datasets.
  • To combine privacy-preserving cryptographic technologies with blockchain auditability.
  • To address widespread privacy concerns and encourage data sharing.

Main Methods:

  • Utilized homomorphic encryption and secure multi-party computation for privacy preservation.
  • Integrated blockchain technology for auditable and transparent data access control.
  • Developed an open-source implementation for querying encrypted genomic data.

Main Results:

  • The system supports queries on encrypted genomic data for hundreds of thousands of individuals.
  • Minimal computational overhead was observed during data querying.
  • Demonstrated alleviation of privacy concerns through a secure, citizen-centric model.

Conclusions:

  • The proposed system offers a viable solution for secure genomic data exploration.
  • Real-world adoption can significantly enhance data privacy and encourage responsible data sharing.
  • Empowers individuals with controlled and transparent access to their genomic information.