Quantum Computing Impact on Genomic Privacy

Introduction

Quantum computing may significantly affect genomic privacy by changing the security assumptions underlying the encryption systems used to protect genetic information. Genomic data contains highly sensitive details about an individual’s biological identity, inherited traits, disease susceptibility, and familial relationships. Unlike passwords, genetic information cannot be changed after exposure.

The principal concern is that sufficiently powerful quantum computers may be able to break some widely used public-key cryptographic systems. This creates a “harvest now, decrypt later” risk: attackers may collect encrypted genomic records today and attempt to decrypt them in the future.

Quantum computing does not automatically expose genomic data. The risk depends on the capabilities of quantum computers, the cryptographic methods used, and how genomic information is stored, shared, and governed.

Impact on Genomic Privacy

Quantum computing may affect genomic privacy in several ways:

1. Breaking vulnerable encryption: A sufficiently capable quantum computer could threaten RSA and elliptic-curve cryptography, which are widely used in digital security. This could expose genomic databases or encrypted transfers protected by vulnerable systems.

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2. Long-term confidentiality risk: Genomic information may remain sensitive for decades. An attacker could store encrypted genomic records now and attempt to decrypt them later, even if current systems are secure against conventional attacks.

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3. Familial privacy: A person’s genome can reveal information about biological relatives. A breach involving one individual may therefore expose inherited traits or family relationships of others who never consented to the original collection.

4. Re-identification and inference: Genomic data may be linked with other datasets to identify individuals or infer sensitive characteristics. Quantum computing is not the only cause of this risk, but advances in computation may increase the importance of strong access controls and privacy-preserving research.

Legal Framework in India

Article 21 of the Constitution protects privacy and personal autonomy. The Digital Personal Data Protection Act, 2023, may apply to digital genomic information where its requirements and scope are engaged. The Information Technology Act, 2000, and applicable cybersecurity rules may also be relevant to data security and unauthorized access.

A legal challenge may arise where a State agency or private organization collects, retains, shares, or fails to adequately protect genomic data. The key questions would include whether the processing is lawful, necessary, proportionate, secure, and subject to appropriate safeguards.

Case Laws

1. Justice K.S. Puttaswamy (Retd.) v. Union of India (2017), 10 SCC 1

The Supreme Court recognized privacy as a fundamental right and explained that informational privacy is an important aspect of Article 21. The judgment specifically recognizes the sensitive nature of personal information and the need for a robust data-protection framework. It provides a constitutional basis for protecting genomic data from unjustified collection, retention, or disclosure.

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2. Selvi v. State of Karnataka (2010), 7 SCC 263

The Court held that involuntary narcoanalysis, polygraph tests, and Brain Electrical Activation Profile tests violate constitutional protections under Articles 20(3) and 21. Although the case does not concern quantum computing or genomic databases, it is relevant to the principle that scientific techniques used to obtain personal information must respect individual liberty and constitutional safeguards.

3. S. and Marper v. United Kingdom (2008), European Court of Human Rights

The European Court of Human Rights held that indefinite retention of DNA samples and profiles of persons who had not been convicted was a disproportionate interference with privacy under Article 8 of the European Convention on Human Rights. The Court emphasized the sensitive nature of genetic information and its ability to reveal information about relatives. This is a persuasive comparative authority, not binding Indian precedent.

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Safeguards and Governance Measures

A privacy-protective approach should include:

Migration to post-quantum cryptography for long-term genomic records.

Encryption of stored data and data transfers, together with secure key management.

Strict access controls, audit logs, and defined retention and deletion periods.

Informed consent and clear limits on secondary use of genomic data.

Privacy-preserving research methods, including de-identification and controlled access, while recognizing that genomic data may remain re-identifiable.

Security assessments and breach-response plans for genomic repositories.

NIST published three principal post-quantum cryptography standards in 2024, including ML-KEM for key establishment and ML-DSA and SLH-DSA for digital signatures. These standards are designed to resist attacks from future quantum computers, though implementation must be carefully evaluated for each system.

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Conclusion

Quantum computing creates a long-term challenge for genomic privacy because genetic information is uniquely sensitive, persistent, and capable of revealing information about family members. The risk is not that quantum computers instantly decode every genome, but that future computational capabilities may undermine current cryptographic protections.

Indian constitutional privacy principles, particularly those recognized in Puttaswamy, support strong safeguards for genomic data. The legal response should combine lawful data processing, proportionate retention, post-quantum security, informed consent, and accountability for misuse or inadequate protection.