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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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...
Genomics02:02

Genomics

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...
Next-generation Sequencing03:00

Next-generation Sequencing

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.
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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...
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

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関連する実験動画

Updated: May 15, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

姓による個人のゲノムを特定する 推論 推論

Melissa Gymrek1, Amy L McGuire, David Golan

  • 1Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA.

Science (New York, N.Y.)
|January 19, 2013
PubMed
まとめ

個人のゲノムは,Y染色体短タンデムリピート (Y-STRs) を公共の遺伝学データベースにリンクすることで,匿名性を取り除くことができます. この方法は,姓とメタデータを用いて,共有されたシーケンシングデータ内の個人を特定することができます.

科学分野:

  • ゲノミクスゲノミクスとは
  • バイオインフォマティックス
  • 人口遺伝学 人口遺伝学

背景:

  • ゲノムデータの共有は,しばしば直接的な個人識別子なしで,増加しています.
  • レクリエーション用遺伝子系譜データベースの規模と範囲は著しく拡大しています.
  • プライバシーに関する懸念は,匿名化されたデータセットにおける個人の再識別の可能性から生じます.

研究 の 目的:

  • 匿名化されたゲノムデータから姓を復元する可能性を調査する.
  • 姓の回復のためにY染色体短タンデムリピート (Y-STRs) の使用の有効性を評価する.
  • 遺伝データを他のメタデータと組み合わせて個人を特定する効果を評価する.

主な方法:

  • 個人ゲノムデータからY-STRをプロファイリングする.
  • 公的にアクセス可能なレクリエーション用遺伝子系譜データベースのクエリ.
  • 追加のメタデータ (年齢,状態) を使用して,アイデンティティを三角化します.
  • 米国男性の識別確率の定量分析.

主要な成果:

  • 姓は,Y-STRプロファイリングと公開データベースを使用して,個人ゲノムから成功裏に回復できます.

さらに関連する動画

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

関連する実験動画

Last Updated: May 15, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

  • Y-STRデータを年齢や状態などのメタデータと組み合わせることで,識別の可能性が著しく増加します.
  • このテクニックは,無料で一般に利用可能なオンラインリソースのみに依存しています.
  • 公的シーケンシングプロジェクトにおける参加者の高い確率の識別が実証されています.
  • 結論:

    • 匿名化されたゲノムデータ,特にY-STRは,公共の遺伝学リソースを通じて個人にリンクすることができます.
    • 遺伝子マーカーとメタデータの組み合わせは,公的なシーケンシングデータセットの個人に重大なプライバシーリスクをもたらします.
    • 将来のゲノムデータ共有の実践は,これらの再識別リスクを考慮し,強力なプライバシー保護措置を実施する必要があります.