Manufactured gametes and the principle of genetic caution

Biological inheritance has always been governed by the randomness of homologous recombination during gametogenesis. Even current reproductive technologies, like preimplantation genetic testing (PGT), remain tethered to this biological lottery, merely allowing parents to select among a limited number of randomly generated embryos. Advances in synthetic biology, such as de novo synthesis of human DNA (synDNA), are poised to bypass meiosis entirely [ 1 ]. The prospect of manufacturing gametes directly from synthesized DNA could allow prospective parents to digitally select and assemble naturally occurring genetic variants from their own genomes before a gamete even exists [ 2 ].

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Publication Details

Journal
European Journal of Human Genetics
Published
2026-09-30
DOI
https://doi.org/10.1038/s41431-026-02254-z
Primary Topic
Reproductive Health and Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Manufactured gametes and the principle of genetic caution

Julian Savulescu, Joona Räsänen, Adrian Villalba
European Journal of Human Genetics
Reproductive Health and Technologies
article

Manufactured gametes and the principle of genetic caution

Julian Savulescu, Joona Räsänen, Adrian Villalba
article en

Abstract

Biological inheritance has always been governed by the randomness of homologous recombination during gametogenesis. Even current reproductive technologies, like preimplantation genetic testing (PGT), remain tethered to this biological lottery, merely allowing parents to select among a limited number of randomly generated embryos. Advances in synthetic biology, such as de novo synthesis of human DNA (synDNA), are poised to bypass meiosis entirely [ 1 ]. The prospect of manufacturing gametes directly from synthesized DNA could allow prospective parents to digitally select and assemble naturally occurring genetic variants from their own genomes before a gamete even exists [ 2 ].

European Journal of Human Genetics
University of Turku (FI), National University of Singapore (SG), Universidad de Granada (ES), Turku Centre for Computer Science (FI), Valencian International University (ES), University of Oxford (GB)
Openalex Percentile: Top 9%
Reproductive Health and Technologies
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