A recent study indicates that a significant portion of the global population may be classified as having a high genetic risk for three prevalent health conditions: diabetes, cardiovascular disease, and schizophrenia. This research was conducted by a team from the University of Exeter in the United Kingdom, highlighting the genetic predispositions that exist within the average human genome.

The findings, published in the journal Genome Medicine, suggest that genetic risk factors are present in everyone, irrespective of their current health status. The average human genome comprises approximately five million variants, which are specific DNA locations that differ among individuals. Among these variants, around 10,000 are known to alter gene sequences, potentially influencing various health outcomes.

Researchers found that while many of these genetic variations are biologically neutral, they can still have significant implications, such as lactose intolerance or differing responses to medications. Additionally, each individual carries between one and three rare variants that have been linked to serious genetic disorders, alongside another 50 rare variants whose clinical relevance remains uncertain.

Data Analysis from Major Biobanks

The research team utilised extensive data from two prominent population biobanks: the UK Biobank and the US-based All of Us programme. This data encompasses whole genome sequencing from nearly one million individuals, allowing for a comprehensive analysis of genetic risk factors across diverse demographics.

Caroline Wright, the senior author of the study, emphasised the growing importance of whole genome sequencing in diagnosing genetic diseases. She noted that there is a shift towards genetic screening for disease prediction, yet many individuals remain unaware of the extent of genetic variation present in their genomes. Wright stated, “Variation is the norm,” highlighting the necessity of understanding what constitutes an average human genome.

The study also evaluated numerous polygenic risk scores, which aggregate all known genetic factors to estimate an individual’s likelihood of developing specific diseases. The authors reported that applying these polygenic scores to the data from the UK Biobank revealed that the average person falls within the top 10 per cent for three conditions, while approximately one in five individuals is in the top one per cent for at least one polygenic risk score.

Contextualising Genetic Findings

Wright further explained that while all individuals carry a small number of genetic variants associated with disease, many of these variants may not result in illness for that particular person. She stressed the importance of contextualising genetic testing results, taking into account symptoms, family history, and other clinical and environmental risk factors.

The findings aim to provide essential context for healthcare professionals who interpret genetic testing results or develop genetic screening programmes. Despite the large scale of the studies, the researchers acknowledged that participation was predominantly from individuals of Western European descent, highlighting the need for more diverse population data to enhance understanding and applicability.

This research underscores the complexities of genetic risk and the necessity for nuanced interpretations in clinical settings. As genetic screening becomes more prevalent, understanding the implications of genetic variations will be crucial for effective patient care and risk assessment.

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