Videnskabelig Analyse
Baseret på fagfællebedømt 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.
Baseret på fagfællebedømt genetisk forskning.
Klare målinger til at guide beslutninger om familiedannelse.
Støtter rejsen mod forældreskab med bedre kontekst.
The Gene Pool matching model is grounded in peer-reviewed research across genetics, immunology, reproductive biology, and mate-choice science.
Demonstrerede, at den kvindelige reproduktive kanal selektivt aktiverer sæd baseret på MHC-kompatibilitet, hvilket giver bevis for kryptisk kvindelig partnervalg på celleniveau.
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 SourceFandt, at sæddens levedygtighed var forbundet med partneres HLA-ulighed, hvilket indikerer, at cervikal slim kan selektivt lette senere gametfusion mellem 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 gennemgang og metaanalyse, der bekræfter sammenhængen mellem HLA-deling og gentagne aborter på tværs af flere populationer.
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 SourceForeslog en genetisk risikoberegning, der kunne forudsige gentagne aborter ved at analysere HLA-haplotyper fra par med succesfulde graviditeter eller gentagne aborter.
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 SourceBanebrydende undersøgelse af HLA, fertilitet og partnervalg i et menneskeligt isolat, der demonstrerer sammenhængen mellem 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 undersøgelse af human leukocyt antigen matching og fostertab.
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 SourceDemonstrerede øget gentagen spontan abort blandt par, der 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 SourceGennemgår præferencer for dufte associeret med major histocompatibility complex og menneskeligt partnervalg på tværs af 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.
Lad videnskaben guide dig til det rigtige match for dine familieopbygningsmål.