01
Immunogenetic Analysis
Utilizing peer-reviewed methodologies to assess HLA allele compatibility, which is critical for reproductive success.
Gene Pool Science
The Science Behind Gene Pool
Gene Pool brings advanced genetics to family-building. Our platform uses HLA compatibility analysis and stable matching to help intended parents, donors, and co-parents forge connections built on a solid biological foundation.
基因兼容性匹配
Gene Pool uses HLA (immunogenetic) analysis to evaluate the biological compatibility between donors and recipients. Our matching infrastructure analyzes HLA markers to provide intended parents with a clearer biological context before conception.
By integrating HLA typing from certified genetic testing laboratories, we identify immunological compatibility between donors and recipients, adding biological context to third-party reproduction.
HLA 兼容性
The Human Leukocyte Antigen (HLA) system is integral to immune regulation and has been extensively documented in reproductive medicine for its role in successful implantation and pregnancy maintenance. Gene Pool meticulously analyzes these markers to help recipients identify donors who offer optimal immunogenetic compatibility.
02
HLA Compatibility Scoring
Translating complex HLA genotype data into actionable insights for intended parents and donors.
03
Evidence-Based Family Building
Supporting reproductive choices with clear genetic context drawn from published evidence.
基于研究的方法
The Gene Pool matching model is grounded in peer-reviewed research across genetics, immunology, reproductive biology, and mate-choice science.
Jokiniemi 等人，2025
Jokiniemi et al., 2020
Meuleman et al., 2015
Mora-Sanchez et al., 2019
Ober, 1999
Ober et al., 1998
Ober et al., 1993
Havlicek et al., 2020
稳定匹配算法
2012年诺贝尔经济学奖
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.
In the context of donor and co-parent matching, this algorithm pairs participants optimally based on mutual HLA compatibility. This is the same mathematical model utilized globally to match organ donors with recipients and medical residents with clinical programs, ensuring equitable and scientifically sound outcomes.
2012年诺贝尔奖数学证明