01
科學分析
基於經過同行評審的基因研究。
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.
基因相容性配對
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 相容性
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.
02
相容性分數
清晰的指標可指導家庭建設決策。
03
家庭規劃
以更好的背景支持為人父母的旅程。
基於研究的方法
The Gene Pool matching model is grounded in peer-reviewed research across genetics, immunology, reproductive biology, and mate-choice science.
Jokiniemi 等人, 2025
證明女性生殖道選擇性地激活基於 MHC 相容性的精子，為細胞水平上的隱秘女性配偶選擇提供證據。
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
發現精子活力與合作夥伴的 HLA 異質性相關，表明宮頸粘液可能選擇性地促進免疫基因相容的合作夥伴之間的後期配子融合。
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
系統性回顧和統合分析，確認了多個族群中 HLA 共享與反覆流產之間的關聯。
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
提出了一種基因風險計算方法，該方法可以通過分析成功懷孕或反覆流產的夫婦的 HLA 單倍型來預測反覆流產。
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
關於人類分離群體中 HLA、生育能力和配偶選擇的里程碑式研究，證明了 HLA 相容性與生殖結果之間的聯繫。
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
人類白血球抗原匹配與胎兒喪失的前瞻性研究。
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
證明了 HLA-DQA1 等位基因匹配的夫婦中反覆自然流產的增加。
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
回顧了主要組織相容性複合體相關的氣味偏好以及跨近遠研究領域的人類配偶選擇。
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 Source穩定配對算法
2012 年諾貝爾經濟學獎
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.
2012年諾貝爾獎數學證明