Cope Heidi L, Milko Laura V, Jalazo Elizabeth R, Crissman Blythe G, Foreman Ann Katherine M, Powell Bradford C, deJong Neal A, Hunter Jessica Ezzell, Boyea Beth Lincoln, Forsythe Ana N, Wheeler Anne C, Zimmerman Rebekah S, Suchy Sharon F, Begtrup Amber, Langley Katherine G, Monaghan Kristin G, Kraczkowski Christina, Hruska Kathleen S, Kruszka Paul, Kucera Katerina S, Berg Jonathan S, Powell Cynthia M, Peay Holly L
GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC.
Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, NC.
Genet Med. 2024 Dec;26(12):101290. doi: 10.1016/j.gim.2024.101290. Epub 2024 Oct 5.
Research is underway worldwide to investigate the feasibility, acceptability, and utility of sequencing-based newborn screening. Different methods have been used to select gene-condition pairs for screening, leading to highly inconsistent gene lists across studies.
Early Check developed and utilized actionability-based frameworks for evaluating gene-condition pairs for inclusion in newborn panels (panel 1-high actionability, panel 2-possible actionability). A previously developed framework, the Age-based Semi Quantitative Metric (ASQM), was adapted. Increasing ASQM scores, with a maximum of 15, suggest greater actionability. Wilcoxon tests were performed to compare panel 1 gene-condition pairs on the Recommended Uniform Screening Panel (RUSP) with non-RUSP pairs.
In our first round of assessment, Early Check identified 178 gene-condition pairs for inclusion in panel 1 and 29 for panel 2. Median ASQM scores of RUSP conditions on panel 1 was 12 (range 4 to 15) and non-RUSP was 13 (range 9 to 15). Median scores for panel 2 was 10 (range 6 to 14).
The Early Check frameworks provide a transparent, semiquantitative, and reproducible methodology for selecting gene-condition pairs for newborn screening sequencing pilot studies that may inform future integration of genomic sequencing into population-level newborn screening. Collaborative efforts among newborn sequencing studies to establish shared criteria is needed to enhance cross-study comparisons.
全球范围内正在开展研究,以调查基于测序的新生儿筛查的可行性、可接受性和实用性。已采用不同方法来选择用于筛查的基因-疾病对,导致各研究之间的基因列表高度不一致。
Early Check开发并利用基于可操作性的框架来评估基因-疾病对,以纳入新生儿筛查面板(面板1 - 高可操作性,面板2 - 可能的可操作性)。对先前开发的基于年龄的半定量指标(ASQM)框架进行了调整。ASQM分数增加,最高为15分,表明可操作性更强。进行Wilcoxon检验,以比较推荐统一筛查面板(RUSP)上的面板1基因-疾病对与非RUSP对。
在我们的第一轮评估中,Early Check确定了178个基因-疾病对纳入面板1,29个纳入面板2。面板1上RUSP疾病的ASQM中位数分数为12(范围4至15),非RUSP为13(范围9至15)。面板2的中位数分数为10(范围6至14)。
Early Check框架为选择用于新生儿筛查测序试点研究的基因-疾病对提供了一种透明、半定量且可重复的方法,这可能为未来将基因组测序整合到人群水平的新生儿筛查提供参考。新生儿测序研究之间需要开展合作,以建立共享标准,加强跨研究比较。