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Members of the lesbian, gay, and bisexual (LGB) community experience significant health disparities. Widespread preferences for heterosexual over homosexual people among healthcare providers are believed to contribute to this inequity, making recognition (and ultimately reduction) of healthcare providers' sexual prejudices of import. The present study sought to characterize North American genetic counselors' and genetic counseling students' implicit and explicit attitudes toward homosexuality. During January 2017, 575 participants completed a Web-based survey and Sexuality Implicit Association Test (SIAT). A majority of participants (60.2%) harbored implicit preferences for heterosexual over homosexual people. Mean implicit attitude score (0.24) indicated a slight automatic preference for heterosexual over homosexual people, while mean explicit attitude score (0.033) indicated no preference for either group. Although participants' implicit and explicit attitudes were positively correlated (p < 0.001), there was greater implicit bias for heterosexual over homosexual people than suggested by explicit attitude scores (p < 0.001). Implicit attitudes differed across self-reported sexual orientation (p < 0.001), but not across gender, race, or genetic counseling specialty. Education has been demonstrated to be moderately effective at reducing sexual prejudices, and almost all participants (95.8%) indicated that they would support the implementation of genetic counseling curricula addressing lesbian, gay, bisexual, and transgender (LGBT) issues. The study's combined findings suggest that North American genetic counselors and genetic counseling students support, and may benefit from, the implementation of genetic counseling curricula addressing LGBT issues.

This study demonstrates the benefit of a SNP array-based POC testing platform for identifying patients who would require additional management after a pregnancy with paternal triploidy, which can occur in women of all ages and at all gestational ages.

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p¼0.011). Lower STAI scores were noted at the pre-retrieval survey compared to baseline (p¼0.039). The results were unchanged when controlling for a history of anxiety or history of prior IVF treatment.CONCLUSIONS: The use of a web-based application to support medication management during IVF did not appear to have much impact on quality of life scores and anxiety measures during IVF. However, when examining the CART score in particular, there was a significant difference in CART scores in the application arm compared to the control arm, which suggests the application may have a positive impact in allaying patient concerns during the IVF process. Medication management during IVF is particularly anxiety-provoking for patients. Patient tools that can improve this component of the IVF experience warrant further study.

Purpose: To examine the association between body mass index (BMI) and embryonic aneuploidy and mosaicism by trophectoderm biopsy with preimplantation genetic testing for aneuploidy (PGT-A). Methods: This was a retrospective cohort study evaluating 602 women who underwent undergoing their first fresh autologous stimulation cycles wherein all embryos were biopsied for PGT-A analysis from January 2016 through December 2019 in a multicenter academic fertility practice. Associations between BMI (kg/m2) and rates of euploidy (2016-2019) and mosaicism (2018-2019), including low-level (LL), high-level (HL), whole chromosome, and segmental mosaicism, were determined using forward stepwise multivariable Poisson regression.Results: 3,020 embryos from 602 cycles were available for analysis. Most patients were of normal weight (N=323) or overweight (N=143), or had class I obesity (N=80). Overall, 21% of patients in the cohort had obesity (BMI >30). There was no difference in overall euploid or mosaicism rate stratified by BMI. Compared with normal BMI, underweight (adjusted relative risk, aRR: 3.57 [1.31-9.78]), overweight (1.57 [1.01-2.43]), and obesity (1.55[1.03-2.35]) were each associated with significantly increased risks of LL mosaicism (6.6% vs. 20.8%, 10.0%, and 9.1%, respectively). Overweight BMI was associated with lower rates of HL (8.3% vs 3.7%, aRR: 0.39 [0.21-0.75]) and whole chromosome mosaicism (3.7% vs. 7.3%, aRR: 0.48 [0.26-0.91]) compared to normal BMI.Conclusions: While the overall rate of mosaicism was similar among BMI categories, both low and high BMI were associated with increased rates of LL mosaicism, and overweight was associated with decreased rates of HL and whole chromosome mosaicism compared to normal BMI.