Embryo selection is the practice of testing embryos created by in vitro fertilisation and choosing which ones to transfer to a uterus. It is the only form of genetic choice over offspring in routine clinical use anywhere, and it is the concrete reality behind most of what is discussed under the heading of Designer babies. What it can deliver depends almost entirely on whether the trait in question is determined by a single locus or by thousands, and public debate consistently underweights that distinction.
The four tests
Preimplantation genetic testing is now divided by what it looks for. The names were standardised in the late 2010s, replacing the older PGD and PGS labels.
- PGT-M, for monogenic disease. Where the parents' variants are known, embryos can be genotyped for the disease allele alongside linked markers from family members, which guards against amplification failure. Accuracy is high and this is the technique's uncontested core.
- PGT-SR, for structural rearrangements. Carriers of balanced translocations produce a high proportion of unbalanced embryos; testing identifies them.
- PGT-A, for aneuploidy. A screen for the wrong number of chromosomes, done on the assumption that transferring euploid embryos raises live-birth rates. Widely sold, and the least well supported.
- PGT-P, for polygenic scores. Ranking embryos by predicted risk of common disease or by predicted value of a complex trait. Offered by a small number of commercial laboratories and endorsed for clinical use by no major professional society. It has its own article at Polygenic embryo screening.
The physical procedure is the same in each case: five to ten cells are removed from the trophectoderm of a day-5 or day-6 blastocyst, the portion that becomes placenta rather than fetus, and their DNA is amplified and sequenced. The embryo is vitrified while the result is awaited.
Origins
The first births followed embryo biopsy in 1990, when a team led by Alan Handyside amplified a Y-specific sequence to identify female embryos for couples carrying X-linked disorders.1 Selecting on sex was a proxy; testing for the disease allele itself followed within a few years as PCR and later array and sequencing methods improved.
Two cases shaped public understanding more than the technique did. In 2000, preimplantation testing was used both to avoid Fanconi anaemia and to select an embryo whose tissue type matched an affected sibling, so that cord blood from the resulting child could treat her.2 In 2008 the United Kingdom legislated on the practice explicitly, permitting tissue-type matching under licence and prohibiting the deliberate preference of an embryo known to carry a serious abnormality over one that does not.
Why PGT-A is contested
PGT-A is performed on a large share of IVF cycles in some markets, and the evidence that it improves outcomes is weak. A multicentre randomised trial published in 2019 found no improvement in ongoing pregnancy rate per patient randomised, with a possible benefit in a subgroup of older patients in per-protocol analysis.3 A subsequent randomised trial in China, restricted to patients with several good-quality blastocysts, likewise failed to show superiority over conventional morphological selection on cumulative live-birth rate.4
The mechanistic explanation is that the biopsy is not the embryo. Trophectoderm cells can be aneuploid while the inner cell mass is not, and blastocysts classified as mosaic have produced healthy children after transfer.5 Because the test causes some embryos to be discarded, a screen with imperfect predictive value can reduce the number of transfers without improving the odds of any one of them. This is the same statistical structure that makes overdiagnosis a problem in cancer screening and in direct-to-consumer testing.
A test's accuracy is not its clinical valuePGT-A measures chromosome copy number in the sampled cells reliably. That is a different claim from the claim that acting on the measurement produces more babies, which is what patients are buying and what the randomised evidence does not support.
The arithmetic that caps the gain
Selection can only choose among embryos that exist, and each embryo is a recombination of two genomes the parents already have. Two constraints follow.
The first is supply. A stimulation cycle in a patient under 35 commonly yields a handful of usable blastocysts; the number falls with age, and many cycles in patients over 40 yield none. Selection therefore operates on a small sample.
The second is variance. Full siblings share about half their genomes, so the spread of any polygenic trait within one couple's embryos is much narrower than the spread across the population. Modelling by Ehud Karavani and colleagues estimated that choosing the top-scoring of ten embryos would shift adult height by roughly two and a half centimetres and a cognitive test score by a comparable number of points on average, with the realised gain in any individual case varying widely and sometimes being negative.6 Predictive scores also perform substantially worse within families than across populations, because much of their apparent accuracy comes from population structure and indirect parental effects rather than from the embryo's own genotype.7
These limits are not artefacts of current technology. Better prediction narrows the gap between realised and theoretical gain, but the theoretical gain itself is set by sibling similarity and the number of embryos. Only In vitro gametogenesis, by supplying far more embryos, would loosen the second constraint, and even then the return diminishes sharply: a hundredfold increase in the number of embryos available is worth less than a doubling of the expected shift. The consequences of that ceiling for cognitive traits specifically are worked through in Genetic enhancement of cognition.
Embryo supply also interacts with a separate question about what an embryo is. Stem-cell-derived structures of the kind described in Stem-cell-based embryo models are not products of fertilisation and could not be transferred, but they are increasingly used to study the developmental stages that selection is implicitly betting on.
Objections
Disability rights. The expressivist objection, developed most fully by Adrienne Asch, holds that selecting against an embryo on the basis of a trait expresses a judgement about existing people with that trait: not that a particular life would be bad, but that a life like theirs is not worth starting.8 The counterargument distinguishes preventing an impairment from devaluing a person, and points out that parents routinely act to reduce their future children's risks without insulting anyone. Deaf and autistic community positions on screening are among the sharpest cases and are examined in Disability rights and enhancement.
Scope creep. Jurisdictions differ on non-medical sex selection, on testing for adult-onset and incompletely penetrant conditions such as BRCA1 variants, and on saviour-sibling matching. Each extension has been argued for as a small step from the last, which is the structure critics identify as a slope and defenders as ordinary case-by-case reasoning. The licensing model used in the United Kingdom, where a regulator approves conditions one at a time, is the main institutional alternative to leaving the question to clinics; the broader regulatory picture is set out in Governance of human genome editing.
Whether choosing is obligatory. Julian Savulescu's principle of Procreative beneficence holds that parents who are already selecting have reason to select the embryo expected to have the best life, which turns a permission into a weak duty. Critics within Bioethics of enhancement object both to the ranking that requires and to the assumption that expected welfare can be read off a genotype.
Access. An IVF cycle with genetic testing costs more than most health systems will reimburse for a non-infertile couple, which places selection among the technologies analysed in Access and inequality. Unlike heritable Human germline editing, it is legal nearly everywhere, so cost rather than law is the binding constraint.
Information asymmetry. Reports generated by commercial polygenic services convey risk reductions that are small in absolute terms and are difficult to interpret without training. The concern raised by professional societies is less that patients will be harmed by a transfer decision than that they will make it on a misunderstanding of what the number means, a problem that also runs through Genetic discrimination and consumer genomics generally.
Where it sits among the alternatives
Selection is often discussed as an early form of the same capability as embryo editing. It is not. Selection cannot introduce an allele neither parent carries and cannot exceed the best combination those two genomes can produce; editing can in principle do both, at the cost of the mosaicism and off-target damage demonstrated badly in the He Jiankui affair. For the narrow set of couples where selection fails outright, such as one parent homozygous for a dominant disease allele or both homozygous for a recessive one, editing is the only genetic option, and that is the strongest medical argument for it.
Mitochondrial replacement therapy occupies a third position, replacing an organelle rather than selecting or editing nuclear DNA, and for many mitochondrial conditions selection among embryos with variable heteroplasmy is a competing and simpler option.
A further consideration is timing. Testing an embryo competes with testing a fetus, and non-invasive prenatal screening from maternal blood already detects common aneuploidies in ordinary pregnancies at far lower cost, which is why embryo selection remains concentrated among couples who are using IVF anyway or who carry a known variant.
The technical direction most likely to change practice is not more sensitive sequencing but non-invasive testing, in which cell-free DNA is recovered from the medium the embryo was cultured in — the same cell-free-DNA chemistry that underpins the liquid biopsies described in Nanoscale diagnostics. It would remove the biopsy, which is not risk-free, but concordance with trophectoderm biopsy has so far been inconsistent enough that it remains a research method rather than a clinical one.
See also
- Polygenic embryo screening
- Designer babies
- In vitro gametogenesis
- Human germline editing
- Mitochondrial replacement therapy
- Procreative beneficence
- Disability rights and enhancement
- Reproductive longevity
References
Footnotes
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paperHandyside, A. H. et al. "Pregnancies from biopsied human preimplantation embryos sexed by Y-specific DNA amplification." Nature, 1990. ↩
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paperVerlinsky, Y. et al. "Preimplantation diagnosis for Fanconi anemia combined with HLA matching." JAMA, 2001. ↩
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paperMunné, S. et al. "Preimplantation genetic testing for aneuploidy versus morphology as selection criteria for single frozen-thawed embryo transfer in good-prognosis patients: a multicenter randomized clinical trial." Fertility and Sterility, 2019. ↩
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paperYan, J. et al. "Live Birth with or without Preimplantation Genetic Testing for Aneuploidy." New England Journal of Medicine, 2021. ↩
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paperGreco, E., Minasi, M. G. and Fiorentino, F. "Healthy Babies after Intrauterine Transfer of Mosaic Aneuploid Blastocysts." New England Journal of Medicine, 2015.↩A short case series of transfers; it shows mosaic embryos can produce healthy children, not how often they do.
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paperKaravani, E. et al. "Screening Human Embryos for Polygenic Traits Has Limited Utility." Cell, 2019.↩A modelling study: the gains are estimated, not observed in children born after polygenic selection.
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paperTurley, P. et al. "Problems with Using Polygenic Scores to Select Embryos." New England Journal of Medicine, 2021. ↩
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paperAsch, A. "Prenatal Diagnosis and Selective Abortion: A Challenge to Practice and Policy." American Journal of Public Health, 1999. ↩