Heidi L. Cope , Laura V. Milko , Elizabeth R. Jalazo , Blythe G. Crissman , Ann Katherine M. Foreman , Bradford C. Powell , Neal A. deJong , Jessica Ezzell Hunter , Beth Lincoln Boyea , Ana N. Forsythe , Anne C. Wheeler , Rebekah S. Zimmerman , Sharon F. Suchy , Amber Begtrup , Katherine G. Langley , Kristin G. Monaghan , Christina Kraczkowski , Kathleen S. Hruska , Paul Kruszka , Katerina S. Kucera , Holly L. Peay
{"title":"用于选择基因条件对以纳入新生儿测序面板的系统框架:早期检查实施。","authors":"Heidi L. Cope , Laura V. Milko , Elizabeth R. Jalazo , Blythe G. Crissman , Ann Katherine M. Foreman , Bradford C. Powell , Neal A. deJong , Jessica Ezzell Hunter , Beth Lincoln Boyea , Ana N. Forsythe , Anne C. Wheeler , Rebekah S. Zimmerman , Sharon F. Suchy , Amber Begtrup , Katherine G. Langley , Kristin G. Monaghan , Christina Kraczkowski , Kathleen S. Hruska , Paul Kruszka , Katerina S. Kucera , Holly L. Peay","doi":"10.1016/j.gim.2024.101290","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>In our first round of assessment<strong>,</strong> 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).</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":12717,"journal":{"name":"Genetics in Medicine","volume":null,"pages":null},"PeriodicalIF":6.6000,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A systematic framework for selecting gene-condition pairs for inclusion in newborn sequencing panels: Early Check implementation\",\"authors\":\"Heidi L. Cope , Laura V. Milko , Elizabeth R. Jalazo , Blythe G. Crissman , Ann Katherine M. Foreman , Bradford C. Powell , Neal A. deJong , Jessica Ezzell Hunter , Beth Lincoln Boyea , Ana N. Forsythe , Anne C. Wheeler , Rebekah S. Zimmerman , Sharon F. Suchy , Amber Begtrup , Katherine G. Langley , Kristin G. Monaghan , Christina Kraczkowski , Kathleen S. Hruska , Paul Kruszka , Katerina S. Kucera , Holly L. Peay\",\"doi\":\"10.1016/j.gim.2024.101290\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>In our first round of assessment<strong>,</strong> 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).</div></div><div><h3>Conclusion</h3><div>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.</div></div>\",\"PeriodicalId\":12717,\"journal\":{\"name\":\"Genetics in Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2024-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Genetics in Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1098360024002247\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetics in Medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1098360024002247","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
A systematic framework for selecting gene-condition pairs for inclusion in newborn sequencing panels: Early Check implementation
Purpose
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.
Methods
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.
Results
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).
Conclusion
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.
期刊介绍:
Genetics in Medicine (GIM) is the official journal of the American College of Medical Genetics and Genomics. The journal''s mission is to enhance the knowledge, understanding, and practice of medical genetics and genomics through publications in clinical and laboratory genetics and genomics, including ethical, legal, and social issues as well as public health.
GIM encourages research that combats racism, includes diverse populations and is written by authors from diverse and underrepresented backgrounds.