基因分型
孟德尔遗传
医学
计算机科学
计算生物学
生物信息学
遗传学
生物
基因型
基因
作者
Kyle A. Beauchamp,Dale Muzzey,Kenny K. Wong,Gregory J. Hogan,Kambiz Karimi,Sophie I. Candille,Nikita Mehta,Rebecca Mar‐Heyming,Kristjan Eerik Kaseniit,Hyunseok P. Kang,Eric A. Evans,James D. Goldberg,Gabriel A. Lazarin,Imran S. Haque
摘要
PurposeThe recent growth in pan-ethnic expanded carrier screening (ECS) has raised questions about how such panels might be designed and evaluated systematically. Design principles for ECS panels might improve clinical detection of at-risk couples and facilitate objective discussions of panel choice.MethodsGuided by medical-society statements, we propose a method for the design of ECS panels that aims to maximize the aggregate and per-disease sensitivity and specificity across a range of Mendelian disorders considered serious by a systematic classification scheme. We evaluated this method retrospectively using results from 474,644 de-identified carrier screens. We then constructed several idealized panels to highlight strengths and limitations of different ECS methodologies.ResultsBased on modeled fetal risks for "severe" and "profound" diseases, a commercially available ECS panel (Counsyl) is expected to detect 183 affected conceptuses per 100,000 US births. A screen's sensitivity is greatly impacted by two factors: (i) the methodology used (e.g., full-exon sequencing finds more affected conceptuses than targeted genotyping) and (ii) the detection rate of the screen for diseases with high prevalence and complex molecular genetics (e.g., fragile X syndrome).ConclusionThe described approaches enable principled, quantitative evaluation of which diseases and methodologies are appropriate for pan-ethnic expanded carrier screening.
科研通智能强力驱动
Strongly Powered by AbleSci AI