Department of Obstetrics and Gynecology, Section of Reproductive Endocrinology, Infertility, and Genetics, Medical College of Georgia, Augusta University, Augusta, GA.
Division of Laboratory and Genomic Medicine, Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, MO.
J Appl Lab Med. 2021 Jan 12;6(1):142-154. doi: 10.1093/jalm/jfaa165.
Gender expansive and transgender (GET) healthcare extends beyond gender-affirming therapies, reaching every medical specialty and subspecialty. As the number of GET patients seeking health services has increased, so has the need for standards of care regarding GET-affirmative practices throughout the healthcare system. As such, the number of publications surrounding GET-affirmative practices has steadily risen. However, even as such research has gained ground in other areas, one realm in which there has been a relative lag is genetics and genomics (GG).
In this article, we track the GET patient and their laboratory sample from the clinic to the GG laboratory and back. Throughout the preanalytical, analytical, and postanalytical phases, we identify publications, recommendations, and guidelines relevant to the care of the GET community. We also identity knowledge gaps in each area and provide recommendations for affirmative and inclusive processes for addressing those gaps.
We have identified the practices involved in GG services that would benefit from GET-affirmative process improvement, reviewing relevant affirmative guidelines. Where guidelines could not be found, we identified those knowledge gaps and suggested potential solutions and future directions for implementing GET-affirmative practices.
性别扩张和跨性别（GET）医疗保健不仅限于性别肯定疗法，而是涵盖了每个医学专业和亚专业。随着寻求健康服务的 GET 患者数量的增加，整个医疗系统中关于 GET 肯定实践的护理标准的需求也在增加。因此，围绕 GET 肯定实践的出版物数量稳步上升。然而，即使此类研究在其他领域取得了进展，但在一个相对滞后的领域是遗传学和基因组学（GG）。
在本文中，我们从诊所到 GG 实验室跟踪 GET 患者及其实验室样本。在整个分析前、分析中和分析后阶段，我们确定了与 GET 社区护理相关的出版物、建议和指南。我们还确定了每个领域的知识差距，并为解决这些差距提供了肯定和包容的流程建议。
我们已经确定了 GG 服务中需要进行 GET 肯定性流程改进的实践，审查了相关的肯定性指南。在找不到指南的地方，我们确定了这些知识差距，并提出了潜在的解决方案以及实施 GET 肯定性实践的未来方向。
