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Scientific Analysis
Based on peer-reviewed genetic research.
Gene Pool Science
The Science Behind Gene Pool
Gene Pool uses genetic compatibility analysis and stable matching to help donors, recipients, and co-parents make informed decisions about family-building.
Genetic Compatibility Matching
Gene Pool uses advanced genetic analysis to evaluate compatibility between donors and recipients. The matching model analyzes key genetic markers so families can make decisions with clearer biological context.
By analyzing DNA data from genetic testing services, Gene Pool can identify compatibility factors that traditional donor-search methods may miss.
HLA Compatibility
Human Leukocyte Antigens (HLA) play a crucial role in immune system function and have been linked to successful pregnancies. Gene Pool analyzes HLA markers to help identify donors with favorable genetic compatibility.
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Compatibility Scores
Clear metrics to guide family-building decisions.
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Family Planning
Supporting the journey to parenthood with better context.
Research-Based Approach
The Gene Pool matching model is grounded in peer-reviewed research across genetics, immunology, reproductive biology, and mate-choice science.
Jokiniemi et al., 2025
Demonstrated that female reproductive tract selectively activates sperm based on MHC compatibility, providing evidence for cryptic female mate choice at the cellular level.
Jokiniemi A, Turunen T, Kohonen M et al. (2025) Female-mediated selective sperm activation may remodel major histocompatibility complex-based mate choice decisions in humans. Heredity 134, 321-330.
View SourceJokiniemi et al., 2020
Found that sperm viability was associated with partners' HLA dissimilarity, indicating that cervical mucus may selectively facilitate later gamete fusion between immunogenetically compatible partners.
Jokiniemi A, Magris M, Ritari J, Kuusipalo L, Lundgren T, Partanen J and Kekalainen J (2020) Post-copulatory genetic matchmaking: HLA-dependent effects of cervical mucus on human sperm function. Proc Biol Sci., doi: 10.1098/rspb.2020.1682.
View SourceMeuleman et al., 2015
Systematic review and meta-analysis confirming the association between HLA sharing and recurrent miscarriage across multiple populations.
Meuleman T, Lashley LE, Dekkers OM, van Lith J, Claas FH and Bloemenkamp KW (2015) HLA associations and HLA sharing in recurrent miscarriage: A systematic review and meta-analysis. Hum Immunol. May;76(5):362-73.
View SourceMora-Sanchez et al., 2019
Proposed a genetic-risk calculation that could predict recurrent miscarriage by analysing HLA haplotypes from couples with successful pregnancies or recurrent miscarriage.
Mora-Sanchez A, Aguilar-Salvador D, Nowak I (2019) Towards a gamete matching platform: using immunogenetics and artificial intelligence to predict recurrent miscarriage. NPJ Digit Med Mar 7;2:12.
View SourceOber, 1999
Landmark study on HLA, fertility, and mate choice in a human isolate, demonstrating the link between HLA compatibility and reproductive outcomes.
Ober C (1999) Studies of HLA, fertility and mate choice in a human isolate. Hum Reprod Update 5(2):103-107.
View SourceOber et al., 1998
Prospective study of human leukocyte antigen matching and foetal loss.
Ober C, Hyslop T, Elias S, Weitkamp LR, Hauck WW (1998) Human leukocyte antigen matching and fetal loss: results of a 10 year prospective study. Human Reproduction, Volume 13, Issue 1, Pages 33-38.
View SourceOber et al., 1993
Demonstrated increased recurrent spontaneous abortion among couples matching for HLA-DQA1 alleles.
Ober, Steck, Ven, Billstrand, Messer, Kwak, Beaman, Beer (1993) MHC class II compatibility in aborted fetuses and term infants of couples with recurrent spontaneous abortion. Journal of Reproductive Immunology, Volume 25, Issue 3, Pages 195-207.
View SourceHavlicek et al., 2020
Reviews major histocompatibility complex-associated odour preferences and human mate choice across near and far research horizons.
Havlicek J, Winternitz J, Roberts S (2020) Major histocompatibility complex-associated odour preferences and human mate choice: near and far horizons. Philosophical Transactions of the Royal Society B, 375:20190260.
View SourceStable Matching Algorithm
2012 Nobel Prize in Economics
Gene Pool employs the Gale-Shapley algorithm , a Nobel Prize-winning mathematical approach to stable matching. In 2012, Lloyd Shapley and Alvin Roth received the Nobel Memorial Prize in Economic Sciences for the theory of stable allocations and the practice of market design.
The algorithm keeps matches stable, meaning donors and recipients are optimally matched based on mutual compatibility criteria. This approach is used worldwide to match organ donors with recipients, students with schools, and medical residents with hospitals.
Nobel Prize 2012Mathematically Proven
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