Right To Challenge Genetic Ratings.
1. Introduction
The Right to Challenge Genetic Ratings is an emerging legal principle in biotechnology, genetic privacy, medical law, constitutional law and data protection. It concerns an individual's right to question, dispute, correct or seek independent review of a rating, score, classification or prediction generated using their genetic information.
Genetic ratings may be generated through DNA testing, genome sequencing, artificial intelligence (AI), predictive genetic algorithms and polygenic risk scoring systems.
For example, an individual might receive a genetic rating indicating:
High probability of developing a particular hereditary disease.
Increased likelihood of developing cancer or cardiovascular disease.
Predicted susceptibility to certain neurological conditions.
Genetic suitability or unsuitability for employment or insurance.
Predicted reproductive or inherited health risks.
Such ratings can have serious consequences for a person's privacy, dignity, healthcare, employment, insurance and social opportunities.
The central legal question is:
Can an individual challenge a genetic rating that is inaccurate, scientifically uncertain, discriminatory, misleading or generated without proper consent?
The answer is increasingly supported by constitutional privacy protections, data protection principles, anti-discrimination laws and procedural fairness doctrines. However, there is no universally recognized standalone right specifically called the right to challenge genetic ratings.
2. Meaning and Scope of Genetic Ratings
A genetic rating is an assessment produced by interpreting genetic information to estimate an individual's biological characteristics, disease susceptibility or inherited risks.
Three important categories are:
Clinical genetic ratings: Predictions used by healthcare professionals to assess disease risks.
Commercial genetic ratings: Scores used by insurance companies, private laboratories and commercial genetic-testing businesses.
Algorithmic genetic ratings: AI-generated scores used to classify individuals according to predicted genetic characteristics.
For instance, a genetic algorithm might classify an individual as having a high genetic risk of developing a particular disease. However, the result might be based on incomplete research, an unrepresentative population dataset or an incorrect interpretation of genetic variants.
The affected person should have meaningful opportunities to question the reliability and consequences of that classification.
3. Legal Foundations of the Right to Challenge Genetic Ratings
A. Right to Privacy and Human Dignity
Genetic information reveals highly personal information about an individual's biological identity, inherited characteristics and possible future health conditions.
Under Article 21 of the Constitution of India, the right to life and personal liberty includes the right to privacy and dignity.
A genetic rating may violate these interests where:
Genetic information is collected without valid consent.
An individual is classified without adequate scientific evidence.
Genetic predictions are disclosed to unauthorized persons.
Genetic classifications are used to restrict personal opportunities.
A person is denied the opportunity to dispute an inaccurate assessment.
In Justice K.S. Puttaswamy (Retd.) v. Union of India (2017) 10 SCC 1, the Supreme Court recognized privacy as a fundamental right under the Constitution.
The judgment is particularly important because genetic information falls within the broader protection of informational privacy. It supports the argument that individuals should have meaningful control over sensitive biological information and its use.
Legal significance: A genetic rating that affects personal autonomy, dignity or privacy may be challenged through constitutional principles, subject to the applicable legal requirements.
Indian Kanoon+1
B. Right to Accuracy and Correction of Genetic Information
A genetic rating must not be treated as scientifically unquestionable.
Errors can arise from:
Incorrect DNA sequencing.
Laboratory contamination.
Incorrect interpretation of genetic variants.
Outdated scientific databases.
Algorithmic bias.
Inappropriate use of population-specific genetic data.
Confusion between genetic predisposition and an actual medical diagnosis.
An individual should be able to request correction of inaccurate underlying information and reassessment of the resulting rating.
For example, if a laboratory incorrectly identifies a genetic variant as pathogenic, the individual may seek independent clinical confirmation and correction of the report.
The distinction between genetic data and genetic interpretation is important: correcting a DNA record may require a different process from challenging the scientific conclusion drawn from that record.
C. Right to Challenge Automated Genetic Decisions
Artificial intelligence increasingly generates genetic risk scores and classifications.
Where such ratings are used for consequential decisions, individuals should be able to seek:
Information about the methodology.
An explanation of the principal factors influencing the rating.
Human review of automated assessments.
Correction of inaccurate input data.
Reconsideration of decisions based on disputed ratings.
Protection against discriminatory outcomes.
Under Article 22 of the EU General Data Protection Regulation (GDPR), individuals have protections against certain decisions based solely on automated processing that produce legal or similarly significant effects.
Article 22 also provides safeguards in applicable exceptions, including human intervention, the opportunity to express one's position and the ability to contest the decision.
Genetic information receives additional protection under GDPR Article 9 as a special category of personal data.
EUR-Lex
4. Important Case Laws
The following judgments provide important foundations for challenging genetic ratings, although not all directly concern genetic scoring systems.
1. Justice K.S. Puttaswamy v. Union of India (2017)
Citation: (2017) 10 SCC 1
Court: Supreme Court of India.
Facts: The case concerned the constitutional validity of the Aadhaar identification framework and whether privacy was protected as a fundamental right.
Judgment: A nine-judge Constitution Bench unanimously recognized the fundamental right to privacy under the Indian Constitution.
Legal principles:
Informational privacy is constitutionally significant.
Personal autonomy and dignity require protection.
State interference with privacy must satisfy constitutional standards.
Collection and use of personal information require appropriate justification.
Relevance to genetic ratings: An individual may rely on this judgment when challenging unjustified collection, retention or use of genetic information and classifications derived from it.
2. United India Insurance Co. Ltd. v. Jai Parkash Tayal (2018)
Citation: RFA 610/2016, decided on 26 February 2018.
Court: Delhi High Court.
Particularly relevant Indian judgment
Facts: The dispute concerned a health insurance policy containing an exclusion relating broadly to genetic disorders. The question included whether an insurer could rely on such a broad exclusion without appropriate genetic testing or an adequate evidentiary foundation.
Judgment: The Delhi High Court criticized the broad exclusion of genetic disorders as ambiguous and discriminatory. It emphasized that insurance decisions involving genetic predisposition should not rest on vague or subjective assumptions.
The Court discussed the relationship between genetic discrimination, the right to health and Article 21.
Legal principles:
Genetic discrimination raises constitutional concerns.
Insurance exclusions must have a reasonable and intelligible basis.
Genetic predisposition should not automatically justify adverse insurance treatment.
Insurance decisions should have an adequate evidentiary foundation.
Relevance to genetic ratings: If an insurer assigns a person a high genetic risk rating and uses it to reject coverage or impose an exclusion without reliable evidence, the reasoning in this case may support a challenge.
Importantly, this judgment does not establish an unrestricted right to obtain insurance on any terms; the reasonableness and evidentiary basis of the insurer's decision remain relevant.
Indian Kanoon
3. Dr. Shanthi Rengarajan v. The Oriental Insurance Company Ltd. (2018)
Court: Madras High Court.
Facts: The case concerned the exclusion of genetic disorders from health insurance coverage and the legality of applying such exclusions without an adequate scientific foundation.
Judgment: The Court addressed the discriminatory implications of broadly excluding genetic disorders and emphasized that insurance decisions should not rely on vague assumptions about genetic characteristics.
Legal principles:
Genetic information requires appropriate protection.
Broad genetic exclusions can create unfair discrimination.
Insurance decisions should be supported by reasonable and empirical considerations.
Confidentiality of genetic information is an important regulatory concern.
Relevance: This decision supports challenging genetic classifications used to deny medical insurance without an adequate evidentiary basis.
Indian Kanoon
4. Norman-Bloodsaw v. Lawrence Berkeley Laboratory (1998)
Citation: 135 F.3d 1260 (9th Cir. 1998).
Court: United States Court of Appeals, Ninth Circuit.
Facts: Employees alleged that their employer conducted medical and genetic-related tests, including testing for sickle-cell trait, without their knowledge or consent.
Judgment: The appellate court allowed important privacy and discrimination claims to proceed after reversing the dismissal of those claims.
Legal principles:
Genetic and medical information is highly private.
Consent to a general medical examination does not necessarily authorize every additional genetic or medical test.
Unauthorized testing can infringe privacy rights.
Genetic information must not be improperly used to discriminate against employees.
Relevance: If an employer generates a genetic rating using undisclosed testing or uses the result to disadvantage an employee, this case provides a significant legal foundation for challenging the practice.
FindLaw+1
5. S. and Marper v. United Kingdom (2008)
Citation: Applications Nos. 30562/04 and 30566/04.
Court: European Court of Human Rights, Grand Chamber.
Facts: The applicants challenged the retention of their DNA samples and profiles after criminal proceedings against them had ended without conviction.
Judgment: The Court held that indefinite retention of their DNA samples and profiles violated Article 8 of the European Convention on Human Rights.
Legal principles:
Genetic information is exceptionally sensitive personal information.
DNA records can reveal information about relatives and genetic relationships.
Retention and use of genetic information require appropriate safeguards.
Indiscriminate retention may violate privacy and proportionality requirements.
Relevance: A genetic rating system that permanently retains disputed genetic profiles or predictions without adequate justification may raise similar privacy concerns.
HUDOC+1
6. OQ v. Land Hessen (SCHUFA Holding), Case C-634/21 (2023)
Court: Court of Justice of the European Union.
Facts: A credit-reporting company generated automated credit scores that were used by third parties when deciding whether to establish contractual relationships with individuals.
Judgment: The Court held that automated scoring could itself constitute automated individual decision-making under Article 22 GDPR where a third party draws strongly on the score to establish, implement or terminate a contractual relationship.
Legal principles:
Automated scores can have significant legal consequences.
A score cannot necessarily escape automated-decision safeguards merely because another organisation formally makes the final decision.
The substance and practical influence of the score matter.
Relevance to genetic ratings: Suppose a genetic-testing company assigns an individual a high-risk score and an insurance company relies heavily on that score to reject coverage. The reasoning in SCHUFA may be relevant under the GDPR, depending on the circumstances.
This is particularly important for AI-based genetic classification systems.
EUR-Lex+2
5. Important Statutory Frameworks
A. India: Digital Personal Data Protection Act, 2023
The Indian Digital Personal Data Protection Act, 2023 provides a framework for processing digital personal data.
Relevant provisions include:
| Provision | Legal significance |
|---|---|
| Section 4 | Grounds for processing personal data |
| Section 5 | Notice requirements |
| Section 6 | Consent requirements |
| Section 8 | Obligations of data fiduciaries |
| Section 11 | Right to access information |
| Section 12 | Right to correction, completion, updating and erasure |
| Section 13 | Right of grievance redressal |
| Section 14 | Right to nominate |
Section 12 is particularly relevant when the genetic rating is based on inaccurate or misleading personal data.
For example, if a genetic-testing company incorrectly records an individual's test result, the individual may seek correction of that underlying information.
Section 13 provides an additional grievance-redressal mechanism.
IndiaCode+2
Important limitation: The Indian Act does not expressly establish a separate, comprehensive right to challenge every automated genetic score or obtain a detailed explanation of every algorithmic prediction. Genetic data is also not separately enumerated as a special category of personal data in the Act. Constitutional protections and other applicable laws therefore remain important.
B. United States: Genetic Information Nondiscrimination Act, 2008 (GINA)
GINA protects individuals against certain forms of genetic discrimination.
Its two major areas of protection are:
Title I: Health insurance-related genetic discrimination.
Title II: Employment-related genetic discrimination.
Title II prohibits covered employers from using genetic information in decisions involving hiring, dismissal, promotion, compensation and other employment conditions.
It also restricts the acquisition and disclosure of genetic information.
For example, an employer cannot ordinarily refuse to hire an applicant merely because an algorithm predicts that the applicant may develop an inherited disease.
However, GINA does not cover every type of insurance, including life, disability and long-term-care insurance.
U.S. Equal Employment Opportunity Commission+1
C. European Union: General Data Protection Regulation
The GDPR provides particularly developed safeguards for genetic data and automated profiling.
Important provisions include:
Article 4(13): Definition of genetic data.
Article 5: Accuracy, fairness, transparency and accountability principles.
Article 9: Special protection for genetic data.
Article 15: Right of access.
Article 16: Right to rectification.
Article 21: Right to object in applicable circumstances.
Article 22: Protection against certain solely automated decisions.
Article 35: Data protection impact assessments in applicable high-risk processing.
These provisions can provide a legal basis for challenging genetic ratings, especially when they influence insurance, employment or medical decisions.
6. Grounds on Which Genetic Ratings Can Be Challenged
An individual may have several possible grounds for challenging a genetic rating.
| Ground | Example | Legal concern |
|---|---|---|
| Scientific inaccuracy | Incorrect identification of a genetic variant | Accuracy |
| Algorithmic bias | Dataset does not represent the individual's population | Equality and fairness |
| Lack of consent | Genetic testing conducted without appropriate authorization | Privacy |
| Outdated information | Rating relies on superseded research | Reliability |
| Misinterpretation | Genetic predisposition treated as confirmed illness | Scientific validity |
| Discrimination | Employment rejected due to predicted disease risk | Equality |
| Lack of transparency | Company refuses to explain the rating | Data protection |
| Unlawful retention | Disputed genetic records retained indefinitely | Privacy |
| Procedural unfairness | No opportunity to challenge an adverse rating | Natural justice |
7. Procedure for Challenging an Unfair Genetic Rating
An affected individual can follow these steps:
Step 1: Obtain the genetic assessment
Request a copy of the genetic report, risk score, laboratory findings and relevant personal information used to generate the rating.
Step 2: Identify scientific errors
Consult a qualified geneticist or clinical genetic counsellor to determine whether the assessment contains:
Incorrect genetic variant identification.
Unsupported disease predictions.
Misleading statistical probabilities.
Inappropriate population comparisons.
Step 3: Request correction or reassessment
Submit a written complaint to the genetic-testing laboratory, healthcare provider or organisation responsible for the rating.
Step 4: Demand human review
Where automated profiling has influenced a consequential decision, request meaningful human reconsideration where applicable under the relevant legal framework.
Step 5: Challenge discriminatory treatment
If the rating has resulted in denial of employment, insurance or healthcare, consider proceedings under applicable anti-discrimination, consumer protection, constitutional or data protection laws.
Step 6: Seek judicial remedies
Depending on the jurisdiction and facts, possible remedies include:
Constitutional writ petitions.
Data protection complaints.
Consumer disputes.
Employment discrimination claims.
Injunctions against unlawful use or disclosure.
Compensation where legally available.
8. Responsibilities of Genetic Testing Companies
Companies generating genetic ratings should adopt appropriate safeguards.
Their responsibilities should include:
Scientific validation: Ensure that genetic predictions are supported by reliable scientific evidence.
Transparency: Explain the nature and limitations of genetic ratings.
Accuracy: Maintain accurate genetic records and correct errors.
Independent assessment: Provide appropriate mechanisms for independent review.
Non-discrimination: Prevent unjustified adverse treatment based on genetic predictions.
Confidentiality: Protect genetic information against unauthorized disclosure.
Accountability: Maintain records of rating methodologies and significant changes.
Grievance redressal: Establish accessible complaint procedures.
9. Challenges in Enforcing the Right
Despite growing legal protection, several difficulties remain.
1. Scientific complexity: Courts may struggle to evaluate sophisticated genetic algorithms.
2. Algorithmic secrecy: Private companies may refuse to disclose proprietary scoring methodologies.
3. Predictive uncertainty: Genetic predisposition does not necessarily mean that a disease will develop.
4. Evidentiary difficulties: Individuals may lack access to the underlying genetic datasets and technical records.
5. Cross-border enforcement: Genetic data may be processed by laboratories and technology companies operating in different countries.
6. Regulatory gaps: Many jurisdictions have not established specific legislation governing genetic rating disputes.
7. Discrimination risks: Genetic predictions may create disadvantages even when an individual is completely healthy.
10. Future Development of Genetic Rating Rights
Future biotechnology legislation should consider recognizing an express right to challenge genetic ratings.
Such a framework could include:
A right to receive the reasons and scientific basis for an adverse genetic rating.
A right to request independent genetic reassessment.
A right to correct inaccurate genetic information.
A right to challenge discriminatory genetic classifications.
A right to meaningful human review of consequential automated decisions.
A right to restrict unlawful secondary use of genetic ratings.
A right to appropriate remedies for wrongful genetic classification.
An especially important distinction should be maintained between a genetic risk prediction and a medical diagnosis. A probabilistic assessment should not automatically become a permanent legal or social classification of an individual.
11. Conclusion
The Right to Challenge Genetic Ratings represents an important emerging aspect of biotechnology law and human rights protection.
The judgments in Puttaswamy, United India Insurance v. Jai Parkash Tayal, Norman-Bloodsaw and S. and Marper establish important legal foundations concerning privacy, genetic discrimination, scientific evidence and personal autonomy. The CJEU's SCHUFA judgment further demonstrates why consequential automated scoring systems require meaningful safeguards.
In India, Article 21, the Digital Personal Data Protection Act, 2023 and applicable insurance and anti-discrimination principles provide relevant legal avenues, although a specific statutory right to challenge genetic scores has not been comprehensively established.
Ultimately, no individual should be unfairly restricted, excluded or stigmatized merely because an unverified algorithm assigns them an adverse genetic rating. Genetic predictions must remain open to scientific scrutiny, legal challenge and appropriate independent review.
12. Important Cases at a Glance
| Case | Main legal principle |
|---|---|
| Puttaswamy (2017) | Constitutional privacy |
| United India Insurance v. Jai Parkash Tayal (2018) | Genetic discrimination in insurance |
| Dr. Shanthi Rengarajan v. Oriental Insurance (2018) | Genetic disorder exclusions |
| Norman-Bloodsaw (1998) | Unauthorized genetic-related testing |
| S. and Marper (2008) | Genetic privacy and DNA retention |
| SCHUFA (2023) | Legal consequences of automated scoring |
Research note: These decisions do not all establish a direct, standalone right to appeal a genetic rating. They provide related legal principles that can support the development and enforcement of that right. The Indian insurance judgments should also be read in the context of their respective facts and judicial authority.
For further academic research, I can develop this topic into a detailed Indian biotechnology law research paper with statutory provisions, judicial precedents, international comparisons and proposed legal reforms.

comments