Why this comes up
Genomics is where cutting-edge science meets deep ethics — which is exactly why academic interviewers reach for it. They want to see that you can explain the science simply and reason carefully about where to draw the line.
You are not expected to know the biochemistry in detail. You are expected to understand a few key ideas, grasp one crucial distinction (editing a patient versus editing their future children), and weigh the promise against the risks.
“Should we be allowed to edit the genes of embryos to prevent disease?”
“What excites or worries you about personalised medicine?”
The embryo question is the classic one — and it turns entirely on the distinction you’ll meet below between somatic and germline editing.
The basics
A quick ladder of terms, from small to large:
- DNA — the chemical instructions inside almost every cell.
- Gene — a section of DNA that codes for something, like a protein.
- Genome — your complete set of genes; your full instruction manual.
“Genetics” usually means studying single genes; “genomics” means studying the whole genome at once. The game-changer is that sequencing (reading the genome) has become fast and cheap — what once took years and billions now takes about a day.
In the UK, Genomics England ran the 100,000 Genomes Project and is now exploring screening newborns’ genomes (the Generation Study). Pharmacogenomics — using your genes to choose the right drug at the right dose — is already entering everyday care.
Gene editing & CRISPR
Reading the genome is one thing; changing it is another. CRISPR is a tool that works like a molecular “find and replace” — it can be guided to a precise spot in the DNA to switch a gene off, fix it, or swap it.
The single most important idea for your interview is who the change affects:
Two real examples make this concrete:
- Casgevy — a CRISPR therapy approved to treat sickle cell disease and beta-thalassaemia. It edits a patient’s own cells (somatic). Widely celebrated as a milestone.
- The He Jiankui case (2018) — a scientist in China edited the genomes of embryos that became babies (germline). It was condemned worldwide as unsafe and unethical, and he was jailed.
Personalised (precision) medicine
Genomics also powers personalised medicine: using your genetic information to predict risk and tailor treatment to you, rather than a one-size-fits-all approach. In cancer, for example, a tumour’s genes can be read to pick the drug most likely to work. Pharmacogenomics can warn that a standard dose might be toxic for you.
The promise is more effective treatment with fewer side effects. The catch is that it needs lots of genomic data, raises privacy questions, and could widen the gap between those who can access it and those who cannot.
The debate
Give the strongest version of both sides. Most of the heat is about gene editing and “designer babies”, so be ready there especially.
The promise
- Could cure devastating genetic diseases, not just manage them
- Treatment tailored to the individual, with fewer side effects
- Prevention — catching risk before illness develops
The concerns
- Germline edits are permanent and heritable — future people can’t consent
- The slide from treatment to enhancement (“designer babies”)
- Cost & access could widen inequality (justice)
- Genetic data privacy, discrimination, and off-target errors
“Where is the line between treating disease and enhancement?”
There is no neat answer — which is the point. Show you can reason about it: curing a fatal illness feels very different from choosing a child’s eye colour, but conditions like deafness or short stature sit in a genuinely grey zone.
The ethics, through the four pillars
As with most hot topics, the four pillars give your answer instant structure.
Autonomy
Whose choice is it?
A patient can consent to editing their own cells — but a future child cannot consent to germline changes made for them.
Beneficence
The good it could do.
Curing an otherwise lifelong, painful genetic disease is an enormous benefit.
Non-maleficence
First, do no harm.
Off-target edits and unknown long-term effects — which, in germline editing, are inherited for ever.
Justice
Fairness & access.
If only the wealthy can afford it, genomics could deepen inequality — and genetic data could be misused by insurers or employers.