Vitenskapelig Analyse
Basert på fagfellevurdert genetisk forskning.
Gene Pool Science
Gene Pool uses genetic compatibility analysis and stable matching to help donors, recipients, and co-parents make informed decisions about family-building.
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.
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.
Basert på fagfellevurdert genetisk forskning.
Klare målinger for å veilede familiebyggingsbeslutninger.
Støtter reisen til foreldreskap med bedre kontekst.
The Gene Pool matching model is grounded in peer-reviewed research across genetics, immunology, reproductive biology, and mate-choice science.
Demonstrerte at kvinnelige reproduksjonskanaler selektivt aktiverer sperm basert på MHC-kompatibilitet, og gir bevis for kryptisk kvinnelig partnervalg på cellenivå.
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 SourceFant at spermvitalitet var assosiert med partneres HLA-ulikhet, noe som indikerer at cervical mucus selektivt kan lette senere gametsammensmelting mellom immunogenetisk kompatible partnere.
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 SourceSystematisk gjennomgang og metaanalyse som bekrefter sammenhengen mellom HLA-deling og gjentatte spontanaborter på tvers av flere populasjoner.
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 SourceForeslo en genetisk risikoberegning som kan forutsi gjentatte spontanaborter ved å analysere HLA-haplotyper fra par med vellykkede graviditeter eller gjentatte spontanaborter.
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 SourceMilepælstudie om HLA, fertilitet og partnervalg i et isolert menneskesamfunn, som demonstrerer koblingen mellom HLA-kompatibilitet og reproduktive resultater.
Ober C (1999) Studies of HLA, fertility and mate choice in a human isolate. Hum Reprod Update 5(2):103-107.
View SourceProspektiv studie av HLA-matching og fostertap.
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 SourceDemonstrerte økt gjentatt spontanabort blant par som matcher for HLA-DQA1-alleler.
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 SourceGjennomgår preferanser for lukt assosiert med hovedhistokompatibilitetskomplekset og menneskelig partnervalg på tvers av nære og fjerne forskningshorisonter.
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 Source2012 Nobelpris i økonomi
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.
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