Genomics informatics- Quality control metrics for DNA sequencing

This document identifies quality metrics for the detection of DNA variants using next generation sequencing (NGS) technology. It also defines the data types, relationships, optionality, cardinalities and terminology bindings of the data. This document provides a basis for sharing and for the application of "high quality" genomic data and contributes to the realization of the precision medicine and the development of relevant industries. This document is intended to serve as a catalogue of sequencing data elements used to address quality metrics for various clinical, industrial and commercial applications. The exchange of these data allows researchers, commercial entities, and regulatory bodies to assess for the purpose of selective utilization of the data by setting application-specific quality criteria This document is not intended for - sequencing methods other than NGS, such as the Sanger sequencing, - targets other than genome, such as transcriptome or proteome, or - specimens of species other than humans.

Informatique génomique — Mesures de contrôle de la qualité pour le séquençage de l'ADN

General Information

Status
Published
Publication Date
04-Oct-2020
Current Stage
9092 - International Standard to be revised
Start Date
04-Jul-2024
Completion Date
13-Dec-2025

Overview

ISO/TS 22692:2020 - "Genomics informatics - Quality control metrics for DNA sequencing" is an ISO Technical Specification that defines a standardized catalogue of quality metrics and data elements for detecting DNA variants using next generation sequencing (NGS). Published in 2020, the specification describes the data types, relationships, optionality, cardinalities and terminology bindings needed to record and share NGS quality information. It is designed to support the exchange of “high quality” genomic data for research, clinical and industrial applications and to advance precision medicine and genomics industry development.

Key Topics and Requirements

The standard focuses on quality control metrics across the NGS workflow and specifies the types of metadata to be captured:

  • Scope & exclusions

    • Applies to human DNA variant detection using NGS.
    • Excludes Sanger sequencing, non-genome targets (transcriptome/proteome), and non-human specimens.
  • Sample preparation metrics

    • Sample sequencing type, target gene, specimen type, sampling date and origin.
    • Summary elements to support traceability and quality assessment.
  • Library preparation metrics

    • DNA extraction method and kit, DNA purity and integrity.
    • Library input amount, insert size, and library construction kit.
  • Sequencing run metrics

    • Sequencing instrument, read length, read direction, running mode.
    • Running quality measures such as error rate and percent data > Q30.
  • Data processing and bioinformatics metrics

    • Total reads, mean coverage, uniformity, duplication rate, on‑target rate, Q30 rate.
    • Alignment (mapping algorithm, local realignment), variant calling (software/version, call quality score), allelic read percentage/ratio.
    • Variant filtering and annotation, germline filter criteria, mutation and annotation database references.
  • Data modeling

    • Defines data element relationships, optionality and cardinalities to enable interoperable data exchange and selective utilization according to application-specific quality criteria.

Applications and Users

ISO/TS 22692:2020 is practical for organizations that generate, process or regulate genomic data:

  • Clinical laboratories applying NGS for diagnostics and reporting variant calls.
  • Research consortia and biobanks sharing large-scale reference datasets.
  • Commercial sequencing providers and biotech companies standardizing QC for product development.
  • Regulatory agencies and assessors evaluating data quality for submissions.
  • Bioinformatics teams implementing pipelines and provenance tracking to meet application-specific quality thresholds.

By standardizing QC metrics and metadata, the specification helps ensure reproducibility, supports selective data sharing, and facilitates precision medicine workflows.

Related Standards (examples)

  • ISO/TS 20428:2017 (genomic data elements)
  • ISO/IEC 23092-2:2019 (genomic information representation)
  • ISO/TS 17822-1:2014 (sequencing terminology)
Technical specification

ISO/TS 22692:2020 - Genomics informatics— Quality control metrics for DNA sequencing Released:5. 10. 2020

English language
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Frequently Asked Questions

ISO/TS 22692:2020 is a technical specification published by the International Organization for Standardization (ISO). Its full title is "Genomics informatics- Quality control metrics for DNA sequencing". This standard covers: This document identifies quality metrics for the detection of DNA variants using next generation sequencing (NGS) technology. It also defines the data types, relationships, optionality, cardinalities and terminology bindings of the data. This document provides a basis for sharing and for the application of "high quality" genomic data and contributes to the realization of the precision medicine and the development of relevant industries. This document is intended to serve as a catalogue of sequencing data elements used to address quality metrics for various clinical, industrial and commercial applications. The exchange of these data allows researchers, commercial entities, and regulatory bodies to assess for the purpose of selective utilization of the data by setting application-specific quality criteria This document is not intended for - sequencing methods other than NGS, such as the Sanger sequencing, - targets other than genome, such as transcriptome or proteome, or - specimens of species other than humans.

This document identifies quality metrics for the detection of DNA variants using next generation sequencing (NGS) technology. It also defines the data types, relationships, optionality, cardinalities and terminology bindings of the data. This document provides a basis for sharing and for the application of "high quality" genomic data and contributes to the realization of the precision medicine and the development of relevant industries. This document is intended to serve as a catalogue of sequencing data elements used to address quality metrics for various clinical, industrial and commercial applications. The exchange of these data allows researchers, commercial entities, and regulatory bodies to assess for the purpose of selective utilization of the data by setting application-specific quality criteria This document is not intended for - sequencing methods other than NGS, such as the Sanger sequencing, - targets other than genome, such as transcriptome or proteome, or - specimens of species other than humans.

ISO/TS 22692:2020 is classified under the following ICS (International Classification for Standards) categories: 35.240.80 - IT applications in health care technology. The ICS classification helps identify the subject area and facilitates finding related standards.

You can purchase ISO/TS 22692:2020 directly from iTeh Standards. The document is available in PDF format and is delivered instantly after payment. Add the standard to your cart and complete the secure checkout process. iTeh Standards is an authorized distributor of ISO standards.

Standards Content (Sample)


TECHNICAL ISO/TS
SPECIFICATION 22692
First edition
2020-10
Genomics informatic — Quality
control metrics for DNA sequencing
Informatique génomique — Mesures de contrôle de la qualité pour le
séquençage de l'ADN
Reference number
©
ISO 2020
© ISO 2020
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this publication may
be reproduced or utilized otherwise in any form or by any means, electronic or mechanical, including photocopying, or posting
on the internet or an intranet, without prior written permission. Permission can be requested from either ISO at the address
below or ISO’s member body in the country of the requester.
ISO copyright office
CP 401 • Ch. de Blandonnet 8
CH-1214 Vernier, Geneva
Phone: +41 22 749 01 11
Email: copyright@iso.org
Website: www.iso.org
Published in Switzerland
ii © ISO 2020 – All rights reserved

Contents Page
Foreword .v
Introduction .vi
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Abbreviated terms . 5
5 Quality control metrics for sample preparation . 5
5.1 General . 5
5.2 Sample sequencing type . 5
5.2.1 Sequencing type . 5
5.2.2 Target gene. 5
5.3 Sample information . 5
5.3.1 Specimen type . 5
5.3.2 Sampling date . 6
5.3.3 Specimen origin . 6
5.4 Summary of sample preparation related metrics . 6
6 Quality control metrics for library preparation . 6
6.1 General . 6
6.2 DNA extraction method . 6
6.2.1 DNA extraction kit . 6
6.3 DNA quality . 7
6.3.1 General. 7
6.3.2 DNA purity. 7
6.3.3 DNA integrity . 7
6.4 Library construction . 7
6.4.1 Library input amount . 7
6.4.2 Library insert size . 7
6.4.3 Library construction kit . 7
6.5 Summary of library preparation related metrics . 7
7 Quality control metrics for sequencing . 8
7.1 General . 8
7.2 Sequencing information . 8
7.2.1 Sequencing instrument . 8
7.2.2 Read length . 8
7.2.3 Sequencing direction . . 8
7.2.4 Running mode . 8
7.3 Running quality information . 9
7.3.1 Error rate . 9
7.3.2 Percent data quality >Q30 . 9
7.4 Summary of sequencing related metrics . 9
8 Quality control metrics for data processing . 9
8.1 General . 9
8.2 Data quality measurement . 9
8.2.1 Total reads . 9
8.2.2 Mean coverage . 9
8.2.3 Uniformity .10
8.2.4 Duplication rate .10
8.2.5 On-target rate .10
8.2.6 Q30 rate .10
8.3 Sequencing alignment.10
8.3.1 Mapping algorithm.10
8.3.2 Local realignment software and version .10
8.4 Variant calling .10
8.4.1 Variant calling software and version .10
8.4.2 Variant call quality score . .10
8.4.3 Allelic read percentage & ratio .10
8.5 Variant filtering and annotation.11
8.5.1 General.11
8.5.2 Germline filter criteria .11
8.5.3 Mutation and annotation database .11
8.6 Summary of data processing related metrics .11
Annex A (informative) Example layout of quality control metrics .12
Bibliography .14
iv © ISO 2020 – All rights reserved

Foreword
ISO (the International Organization for Standardization) is a worldwide federation of national standards
bodies (ISO member bodies). The work of preparing International Standards is normally carried out
through ISO technical committees. Each member body interested in a subject for which a technical
committee has been established has the right to be represented on that committee. International
organizations, governmental and non-governmental, in liaison with ISO, also take part in the work.
ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of
electrotechnical standardization.
The procedures used to develop this document and those intended for its further maintenance are
described in the ISO/IEC Directives, Part 1. In particular, the different approval criteria needed for the
different types of ISO documents should be noted. This document was drafted in accordance with the
editorial rules of the ISO/IEC Directives, Part 2 (see www .iso .org/ directives).
Attention is drawn to the possibility that some of the elements of this document may be the subject of
patent rights. ISO shall not be held responsible for identifying any or all such patent rights. Details of
any patent rights identified during the development of the document will be in the Introduction and/or
on the ISO list of patent declarations received (see www .iso .org/ patents).
Any trade name used in this document is information given for the convenience of users and does not
constitute an endorsement.
For an explanation of the voluntary nature of standards, the meaning of ISO specific terms and
expressions related to conformity assessment, as well as information about ISO's adherence to the
World Trade Organization (WTO) principles in the Technical Barriers to Trade (TBT), see www .iso .org/
iso/ foreword .html.
This document was prepared by Technical Committee ISO/TC 215, Health informatics, Subcommittee
SC 1, Genomics informatics.
Any feedback or questions on this document should be directed to the user’s national standards body. A
complete listing of these bodies can be found at www .iso .org/ members .html.
Introduction
The rapid progress in Next Generation Sequencing (NGS) technology has drastically reduced the
cost and time for genomic analysis. A number of research institutions, corporations, and government
agencies are competitively collecting a large volume of genomic data through multi-national, multi-
[9] [10] [11]
institutional projects such as “DiscovEHR” , “gnomAD” and “UK Biobank” . The demand for
sharing of “high quality” genomic data is growing because large-scale reference data is required for
reliable detection of mutation for both industrial and clinical applications.
However, the quality of available genomic data is less than desirable. To establish consistent quality
control metrics, details of each stage of NGS process need to be recorded, shared and standardized
(processes and data elements collected and coded for each stage and sub-stage). These processes
include sample preparation, library preparation, sequencing, and data processing, among others, as
shown in Figure 1.
Figure 1 — NGS process
vi © ISO 2020 – All rights reserved

TECHNICAL SPECIFICATION ISO/TS 22692:2020(E)
Genomics informatic — Quality control metrics for DNA
sequencing
1 Scope
This document identifies quality metrics for the detection of DNA variants using next generation
sequencing (NGS) technology. It also defines the data types, relationships, optionality, cardinalities and
terminology bindings of the data.
This document provides a basis for sharing and for the application of “high quality” genomic data and
contributes to the realization of the precision medicine and the development of relevant industries.
This document is intended to serve as a catalogue of sequencing data elements used to address quality
metrics for various clinical, industrial and commercial applications. The exchange of these data allows
researchers, commercial entities, and regulatory bodies to assess for the purpose of selective utilization
of the data by setting application-specific quality criteria
This document is not intended for
— sequencing methods other than NGS, such as the Sanger sequencing,
— targets other than genome, such as transcriptome or proteome, or
— specimens of species other than humans.
2 Normative references
There are no normative references in this document.
3 Terms and definitions
For the purposes of this document, the following terms and definitions apply.
ISO and IEC maintain terminological databases for use in standardization at the following addresses:
— ISO Online browsing platform: available at https:// www .iso .org/ obp
— IEC Electropedia: available at http:// www .electropedia .org/
3.1
copy number variation
CNV
variation (3.18) in the number of copies of one or more sections of the DNA (3.3)
[SOURCE: ISO/TS 20428:2017, 3.7]
3.2
deletion
contiguous removal of one or more bases from a genomic sequence
[SOURCE: ISO/IEC 23092-2:2019, 3.4]
3.3
DNA
deoxyribonucleic acid
molecule that exists in nuclei and in mitochondria of human cells and is composed of a linear array of 4
bases (Adenine: A, Thymine: T, Guanine: G and Cytosine: C)
[SOURCE: ISO 18074:2015, 4.1, modified — Note 1 to entry deleted.]
3.4
DNA sequencing
determining the order of nucleotide bases (adenine, guanine, cytosine and thymine) in a molecule of
DNA (3.3)
Note 1 to entry: Sequence is generally described from the 5’ end.
[SOURCE: ISO/TS 17822-1:2014, 3.20]
3.5
exome
part of the genome formed by exons
[SOURCE: ISO/TS 20428:2017, 3.13]
3.6
FASTA
genomic information representation that includes a name and a nucleotide sequence for each sequence
read (3.17)
[SOURCE: ISO/IEC 23092-2:2019, 3.7, modified]
3.7
FASTQ
genomic information representation that includes FASTA (3.6) and quality values
[SOURCE: ISO/IEC 23092-2:2019, 3.8]
3.8
gene
basic unit of hereditary information composed of chains of nucleotide base pairs in specific sequences
that encodes a protein or protein subunit
[SOURCE: ISO 11238:2018, 3.29]
3.9
germline
series of germ cells each descended or developed from earlier cells in the series, regarded as continuing
through successive generations of an organism
[SOURCE: ISO/TS 20428:2017, 3.17]
3.10
indel
insertion (3.11) or/and deletion (3.2)
[SOURCE: ISO/TS 20428:2017, 3.18]
3.11
insertion
contiguous addition of one or more bases into a genomic sequence
[SOURCE: ISO/IEC 23092-2:2019, 3.18]
2 © ISO 2020 – All rights reserved

3.12
large indel
insertion (3.11) or deletion (3.2) up to around 1 kb
[SOURCE: ISO/TS 20428:2017, 3.21]
3.13
nucleotide
monomer of a nucleic acid polymer such as DNA (3.3) or RNA
Note 1 to entry: Nucleotides are denoted as letters (‘A’ for adenine; ‘C’ for cytosine; ‘G’ for guanine; ‘T’ for thymine
which only occurs in DNA; and ‘U’ for uracil which only occurs in RNA). The chemical formula for a specific
DNA or RNA molecule is given by the sequence of its nucleotides, which can be represented as a string over the
alphabet (‘A’, ’C’, ’G’, ‘T’) in the case of DNA, and a string over the alphabet (‘A’, ‘C’, ‘G’, ‘U’) in the case of RNA. Bases
with unknown molecular composition are denoted with ‘N’.
[SOURCE: ISO/IEC 23092-2:2019, 3.20]
3.14
polymerase chain reaction
PCR
in vitro enzymatic technique to increase the number of copies of a specific DNA fragment by several
orders of magnitude
[SOURCE: ISO 16577:2016, 3.148]
3.15
quality score
Phred quality score
Q score
quality measure used to assess the accuracy of a sequencing reaction
Note 1 to entry: This quality measure indicates the probability that a given base is called incorrectly by the
sequencer. Phred scores are on a logarithmic scale. Therefore, if Phred assigns a Q score of 30 (Q30) to a base, this
is equivalent to the probability of an incorrect base call 1 in 1 000 times. A lower base call accuracy of 99 % (Q20)
will have an incorrect base call probability of 1 in 100, meaning that every 100 base pairs sequencing read will
likely contain an error.
[SOURCE: ISO 21286:2019, 3.4]
3.16
reference sequence
nucleic acid sequence with biological relevance
Note 1 to entry: Each reference sequence is indexed by a one-dimensional integer coordinate system whereby
each integer within range identifies a single nucleotide. Coordinate values can only be equal to or larger than
zero. The coordinate system in the context of this standard is zero-based (i.e. the first nucleotide has coordinate
0 and it is said to be at position 0) and linearly increasing within the string from left to right.
[SOURCE: ISO/IEC 23092-1:2019, 3.22]
3.17
sequence read
read
fragmented nucleotide sequences that are used to reconstruct the original sequence for next generation
sequencing technologies
[SOURCE: ISO/TS 20428:2017, 3.26]
3.18
sequence variation
DNA sequence variation
variation
differences of DNA sequence among individuals in a population
Note 1 to entry: Variation implies copy number variation (3.1), deletion (3.2), insertion (3.11), indel (3.10), small
indel (3.20), large indel (3.12), or single nucleotide variant (3.19).
[SOURCE: ISO/TS 20428:2017, 3.30]
3.19
single nucleotide variant
SNV
DNA sequence variation (3.18) that occurs when a single nucleotide, A, T, C, or G, in the genome (or other
target sequence) differs between templates
[SOURCE: ISO 20395:2019, 3.35]
3.20
small indel
insertion (3.11) or deletion (3.2) of 2 nucleotides to 100 nucleotides
[SOURCE: ISO/TS 20428:2017, 3.32]
3.21
specimen
biospecimen
biological specimen
sample of tissue, body fluid, food, or other substance that is collected or acquired to support the
assessment, diagnosis, treatment, mitigation or prevention of a disease, disorder or abnormal physical
state, or its symptoms
[SOURCE: ISO/TS 20428:2017, 3.34]
3.22
targeted sequencing
disease-targeted gene panel
technique used for sequencing only selected/targeted genomic regions of interest from a DNA sample
Note 1 to entry: For further details, see Reference [12].
3.23
whole exome sequencing
WES
technique for sequencing the exomes (3.5) of the protein-coding genes (3.8) in a genome
[SOURCE: ISO/TS 20428:2017, 3.38]
3.24
whole genome sequencing
WGS
technique that determines the complete DNA sequence of an organism’s genome at a single time
[SOURCE: ISO/TS 20428:2017, 3.39]
4 © ISO 2020 – All rights reserved

4 Abbreviated terms
BAM Binary Alignment/Map
BED Browser Extensible Data
FMA Foundational Model of Anatomy
HGNC HUGO Gene Nomenclature Committee
HUGO Human
...

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Die ISO/TS 22692:2020 stellt einen bedeutenden Schritt in der Genominformatik dar, insbesondere im Bereich der Qualitätskontrolle von DNA-Sequenzierungen. Das Dokument definiert umfassend die Qualitätsmetriken, die für die Erkennung von DNA-Varianten unter Verwendung von Next Generation Sequencing (NGS) Technologien erforderlich sind. Der genaue Umfang umfasst die Definition von Datentypen, deren Beziehungen, Optionalitäten, Kardinalitäten sowie die Terminologie, was für die einheitliche Anwendung und das Verständnis innerhalb der Forschungsgemeinschaft von zentraler Bedeutung ist. Ein herausragendes Merkmal dieser Norm ist ihre Relevanz für die Entwicklung von präzisionsmedizinischen Anwendungen und die Förderung relevanter Industrien. Durch die Identifizierung von Qualitätsmetriken und die Bereitstellung eines Katalogs von Sequenzierungsdaten-Elementen ermöglicht die ISO/TS 22692:2020 den Austausch qualitativ hochwertiger genomischer Daten. Dieser Austausch ist entscheidend für Forscher, kommerzielle Unternehmen und Regulierungsbehörden, die spezifische Qualitätskriterien für bestimmte Anwendungen setzen und die Datennutzung gezielt steuern möchten. Die Stärken des Dokuments liegen in seiner klaren Fokussierung auf NGS-Technologien und der Festlegung von Kriterien, die nicht nur für klinische Anwendungen, sondern auch für industrielle und kommerzielle Zwecke von Bedeutung sind. Durch die gezielte Einschränkung auf menschliche Proben und die Exklusion anderer Sequenziermethoden, wie der Sanger-Sequenzierung, sowie auf nicht-genomische Zielstrukturen wird eine präzise Anwendung sichergestellt. Insgesamt trägt die ISO/TS 22692:2020 entscheidend dazu bei, die Qualität von genomischen Daten zu standardisieren und somit einen wichtigen Beitrag zur Entwicklung der personalisierten Medizin zu leisten. Diese Norm wird als essenziell erachtet, um die angestrebte Qualität und Verlässlichkeit in der DNA-Sequenzierung zu gewährleisten und die Grundlage für zukünftige Innovationen im Bereich der Genomforschung zu schaffen.

ISO/TS 22692:2020 provides comprehensive guidelines for quality control metrics essential for the accurate detection of DNA variants using next generation sequencing (NGS) technology. The scope of this standard is pivotal as it specifically delineates the various quality metrics necessary for assessing genomic data, thereby ensuring the reliability and usability of data across clinical, industrial, and commercial applications. One of the notable strengths of ISO/TS 22692:2020 is its detailed specification of data types, relationships, optionality, cardinalities, and terminology bindings. This thoroughness aids stakeholders in establishing a clear framework for genomic data sharing, fostering collaboration among researchers, regulatory bodies, and commercial entities. By doing so, it lays a solid foundation for the realization of precision medicine, emphasizing the importance of high-quality genomic data in advancing relevant industries. Furthermore, this standard serves as an essential catalogue for sequencing data elements tied to quality metrics, enabling users to create application-specific quality criteria. This feature enhances its relevance in the rapidly-evolving landscape of genomics informatics, where the need for standardized and high-quality data is increasingly crucial. It is important to note that ISO/TS 22692:2020 is specifically focused on next generation sequencing (NGS) methods and does not encompass other sequencing techniques like Sanger sequencing. Additionally, it does not extend its scope to genomic targets outside the human genome, such as the transcriptome or proteome, ensuring targeted and relevant applicability. In summary, ISO/TS 22692:2020 stands out as a vital standard within genomics informatics, underpinning precision medicine through strict quality control metrics for DNA sequencing, thereby promoting the integration and utilization of high-quality genomic data across various sectors.

ISO/TS 22692:2020은 차세대 시퀀싱(NGS) 기술을 활용한 DNA 변이 검출을 위한 품질 메트릭스를 규명하는 문서로, 매우 중요한 역할을 수행합니다. 이 표준은 DNA 시퀀싱을 위한 품질 지표를 정립하고 데이터 유형, 관계, 선택 가능성, 기수 및 용어 바인딩을 정의하여, 연구자와 산업체가 고품질 유전 데이터를 공유하고 활용하는 기반을 마련합니다. 이 표준의 강점 중 하나는 유전 데이터의 품질 향상을 위한 명확한 기준을 설정하고, 이를 통해 정밀 의학의 실현과 관련 산업의 발전에 기여한다는 점입니다. 특히, ISO/TS 22692:2020은 다양한 임상, 산업 및 상업적 응용을 위해 품질 메트릭스를 다루는 시퀀싱 데이터 요소의 카탈로그 역할을 수행합니다. 데이터 교환을 통해 연구자, 상업적 기관 및 규제 기관은 특정 응용을 위한 품질 기준을 설정하고 이를 통해 데이터의 선별적 활용을 평가할 수 있습니다. 또한, 이 표준은 NGS 이외의 시퀀싱 방법(예: Sanger 시퀀싱)이나 유전체 이외의 대상(예: 전사체나 단백질체), 그리고 인간 이외의 생물체 샘플에는 적용되지 않도록 제한을 두어, 전문성과 적용성을 더욱 강화하고 있습니다. 이러한 명확한 범위 설정은 사용자들이 ISO/TS 22692:2020을 효과적으로 활용할 수 있도록 돕습니다. 결론적으로, ISO/TS 22692:2020은 품질 메트릭스의 설계와 유전 데이터의 통합적 관리에 있어서 핵심적인 표준이며, 정밀 의학을 향한 중요한 발걸음을 내딛게 하는 기반이 되어줍니다.

La norme ISO/TS 22692:2020 se concentre sur l'informatique génomique, spécifiquement sur les métriques de contrôle de qualité pour le séquençage de l'ADN. Son champ d'application est fondamental, car il identifie les métriques de qualité essentielles pour la détection des variantes de l'ADN utilisant la technologie de séquençage de nouvelle génération (NGS). Cela s'avère d'une grande pertinence dans le contexte actuel, où la précision médicale et l'utilisation de données génomiques de haute qualité sont de plus en plus cruciales. Parmi les forces notables de cette norme, on trouve sa capacité à définir clairement les types de données, les relations, l'optionnalité, les cardinalités et les terminologies associées. Cette clarté facilite le partage et l'application de données génomiques de qualité élevée, qui sont vitales pour le développement de l'industrie biomédicale. En tant que catalogue des éléments de données liés au séquençage, la norme offre un cadre cohérent pour adresser les métriques de qualité dans diverses applications cliniques, industrielles et commerciales. La norme ISO/TS 22692:2020 permet également un échange structuré de données entre chercheurs, entités commerciales et organismes de régulation. Cela permet d'évaluer l'utilisation sélective des données en fixant des critères de qualité spécifiques aux applications, ce qui est essentiel pour garantir la fiabilité et l'intégrité des données génomiques utilisées dans la recherche et les pratiques cliniques. Il est important de préciser que cette norme se concentre exclusivement sur le séquençage de nouvelle génération (NGS) et ne s'applique pas à d'autres méthodes de séquençage telles que le séquençage de Sanger, ni à d'autres cibles génomiques comme le transcriptome ou le protéome, ou encore à des spécimens d'espèces différentes des humains. Cela délimite efficacement son champ d'application tout en renforçant sa pertinence dans le domaine spécifique du séquençage génomique humain. En résumé, ISO/TS 22692:2020 représente une avancée significative dans la standardisation des métriques de qualité en séquençage ADN, favorisant une meilleure intégration des données dans divers contextes médicaux et industriels, et participe activement à l'essor de la médecine de précision.

ISO/TS 22692:2020は、次世代シーケンシング(NGS)技術を用いたDNA変異の検出に関する品質指標を特定する文書です。この標準は、DNAシーケンシングにおける品質管理の重要性を強調しており、特に精密医療の実現や関連産業の発展に貢献するための基盤を提供しています。 本標準は、シーケンシングデータ要素のカタログとして機能し、さまざまな臨床、産業、商業アプリケーションに対する品質指標を扱う際のデータの種類、関係性、オプション性、基数、用語の結びつきを明確に定義しています。このことで、データの高品質な共有が促進され、研究者、商業団体、規制当局が特定の品質基準を設定してデータを選択的に利用するための評価が可能になります。 ISO/TS 22692:2020の強みは、その詳細な品質指標の導入にあります。これにより、次世代シーケンシング技術を活用することで、多様なデータソースから収集された情報を一元化し、信頼性の高い遺伝情報の解析が実現します。また、品質指標の設定は、医療分野における患者ケアの向上を目指すために不可欠であり、関連する研究や開発においても大きな役割を果たします。 ただし、本標準は、NGS以外のシーケンシング手法や、遺伝子以外のターゲット、また人間以外の生物標本については適用されないことを明確にしています。これにより、標準の焦点がしっかりと定まっており、特定の使用ケースにおける専門性を確保しています。全体として、ISO/TS 22692:2020は、現代のゲノミクスインフォマティクスの領域における重要な指針を提供するものであり、高品質なデータの確保と利用を推進するための基盤として非常に関連性の高い文書です。