Variability in Fetal Fraction Estimation: Comparing Fetal Fractions Reported by Noninvasive Prenatal Testing Providers Globally

Author:

Becking Ellis C1ORCID,Linthorst Jasper23,Patton Simon4,Gutowska-Ding Weronika4,Goodall Rebecca4,Khawaja Farrah5,Morgan Fiona5,Deans Zandra5,Chitty Lyn S6,Bekker Mireille N1,Scheffer Peter G1,Sistermans Erik A23ORCID

Affiliation:

1. Department of Obstetrics, Division of Women and Baby, Wilhelmina Childrens Hospital, University Medical Center Utrecht , Utrecht , The Netherlands

2. Department of Human Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam , Amsterdam , The Netherlands

3. Amsterdam Reproduction and Development , Amsterdam , The Netherlands

4. Manchester Science Park, EMQN CIC , Manchester , UK

5. Genomics Quality Assessment, NHS Lothian, Royal Infirmary of Edinburgh , Edinburgh , UK

6. North Thames Genomic Laboratory Hub, Great Ormond Street NHS Foundation Trust and Genetics and Genomics, UCL Great Ormond Street Institute of Child Health , London , UK

Abstract

Abstract Background Fetal fraction (FF) measurement is considered important for reliable noninvasive prenatal testing (NIPT). Using minimal FF threshold as a quality parameter is under debate. We evaluated the variability in reported FFs of individual samples between providers and laboratories and within a single laboratory. Methods Genomic quality assessment and European Molecular Genetics Quality Network provide joint proficiency testing for NIPT. We compared reported FFs across all laboratories and stratified according to test methodologies. A single sample was sequenced repeatedly and FF estimated by 2 bioinformatics methods: Veriseq2 and SeqFF. Finally, we compared FFs by Veriseq and SeqFF in 87 351 NIPT samples. Results For each proficiency test sample we observed a large variability in reported FF, SDs and CVs ranging from 1.7 to 3.6 and 17.0 to 35.8, respectively. FF measurements reported by single nucleotide polymorphism-based methods had smaller SDs (0.5 to 2.4) compared to whole genome sequencing-based methods (1.8 to 2.9). In the internal quality assessment, SDs were similar between SeqFF (SD 1.0) and Veriseq v2 (SD 0.9), but mean FF by Veriseq v2 was higher compared to SeqFF (9.0 vs 6.4, P 0.001). In patient samples, reported FFs were on average 1.12-points higher in Veriseq than in SeqFF (P 0.001). Conclusions Current methods do not allow for a reliable and consistent FF estimation. Our data show estimated FF should be regarded as a laboratory-specific range, rather than a precise number. Applying strict universal minimum thresholds might result in unnecessary test failures and should be used with caution.

Publisher

Oxford University Press (OUP)

Subject

Biochemistry (medical),Clinical Biochemistry

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3