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Evolution Quote by Siddhartha Mukherjee

“By the end of this decade, permutations and combinations of genetic variants will be used to predict variations in human phenotype, illness, and destiny. Some diseases might never be amenable to such a genetic test, but perhaps the severest variants of schizophrenia or heart disease, or the most…” quote by Siddhartha Mukherjee
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““By the end of this decade, permutations and combinations of genetic variants will be used to predict variations in human phenotype, illness, and destiny. Some diseases might never be amenable to such a genetic test, but perhaps the severest variants of schizophrenia or heart disease, or the most penetrant forms of familial cancer, say, will be predictable by the combined effect of a handful of mutations. And once an understanding of "process" has been built into predictive algorithms, the interactions between various gene variants could be used to compute ultimate effects on a whole host of physical and mental characteristics beyond disease alone. Computational algorithms could determine the probability of the development of heart disease or asthma or sexual orientation and assign a level of relative risk for various fates to each genome. The genome will thus be read not in absolutes, but in likelihoods-like a report card that does not contain grades but probabilities, or a resume that does not list past experiences but future propensities. It will become a manual for previvorship.””

Siddhartha Mukherjee

About This Quote

Source Speech: Interview on Future of Genomics, 2023

Genetic data will shift from fixed diagnoses to probabilistic predictions of health, behavior, and destiny, turning genomes into risk profiles rather than certainties.

In simple terms: Genes will predict probabilities, not certainties.

Key Takeaway

Embrace probabilistic health planning.

Themes

genomics prediction ethics future medicine personalized risk

Mood

cautious optimistic reflective

Type

philosophical inspirational ethical

When to use this quote

  • clinical counseling
  • insurance underwriting
  • personalized lifestyle planning
  • research design
  • public policy

Key Concepts

polygenic risk scores probabilistic modeling bioinformatics precision health sociogenomics

Questions to Reflect On

  • How should society balance predictive power with privacy?
  • What safeguards are needed for probabilistic health data?
A Different Perspective

Predictive models may reinforce inequality or privacy concerns.

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