Chenming Xu , Songchang Chen , Yangyun Zou , Yulin Chen , Yanting Wu , Congjian Xu , Yingying Xia , Guobo Chen , Li Jin , Sijia Lu , Hefeng Huang
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引用次数: 0
Abstract
Aims
This study aims to evaluate the feasibility of family-specific polygenic risk prediction in reducing the risk of type 2 diabetes (T2D) in the offspring from an infertile couple with a family history of early-onset T2D.
Methods
We innovatively established a family-specific polygenic risk prediction model for this T2D family and the embryo with the lowest risk of T2D were selected for implantation.
Results
Initially, whole exome sequencing analysis in the family failed to identify monogenic-level pathogenic or likely pathogenic variants responsible for T2D. Thus, preimplantation genetic testing for monogenic disease (PGT-M) may be not applicable. Subsequently, we innovatively developed a family-specific polygenic-level T2D risk prediction model including 114 T2D risk SNPs and weighted by the genotype-phenotype correlation of asymptomatic individuals and T2D patients in the pedigree. Using this model, the euploid embryo P_5977_1C exhibited the lowest T2D risk and was selected for implantation. The newborn displayed the same lowest T2D polygenic risk and normal growth and development after a 16-month follow-up.
Conclusion
Our study provided preliminary evidence for the feasibility of developing a more accurate polygenic risk prediction model using pedigree information and its application in embryo selection.
期刊介绍:
Diabetes Research and Clinical Practice is an international journal for health-care providers and clinically oriented researchers that publishes high-quality original research articles and expert reviews in diabetes and related areas. The role of the journal is to provide a venue for dissemination of knowledge and discussion of topics related to diabetes clinical research and patient care. Topics of focus include translational science, genetics, immunology, nutrition, psychosocial research, epidemiology, prevention, socio-economic research, complications, new treatments, technologies and therapy.