Evidence map›Paper›PMID 34642337›Full record

ArticleNPJ genomic medicine2021

Estimation of cell-free fetal DNA fraction from maternal plasma based on linkage disequilibrium information.

Jia Ju, Jia Li, Siyang Liu, Haiqiang Zhang, Jinjin Xu, Yu Lin, Ya Gao, Yulin Zhou, Xin Jin

Abstract read
In one paragraph

Article in NPJ genomic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jia JuCollege of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China.ORCID http://orcid.org/0000-0002-0359-9261
Jia LiBGI-genomics, BGI-Shenzhen, 518083, Shenzhen, Guangdong, China.
Siyang LiuBGI-Shenzhen, 518083, Shenzhen, Guangdong, China.
Haiqiang ZhangBGI-Shenzhen, 518083, Shenzhen, Guangdong, China.
Jinjin XuBGI-Shenzhen, 518083, Shenzhen, Guangdong, China.
Yu LinBGI-Shenzhen, 518083, Shenzhen, Guangdong, China.
Ya GaoBGI-Shenzhen, 518083, Shenzhen, Guangdong, China.
Yulin ZhouUnited Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine & School of Public Health, Xiamen University, 361102, Xiamen, Fujian, China. zhou_yulin@126.com.
Xin JinBGI-Shenzhen, 518083, Shenzhen, Guangdong, China. jinxin@genomics.cn.ORCID http://orcid.org/0000-0001-7554-4975

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32000398Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 2017A030306026
6 · The paper itself

Abstract

Cell-free fetal DNA fraction (FF) in maternal plasma is a key parameter affecting the performance of noninvasive prenatal testing (NIPT). Accurate quantitation of FF plays a pivotal role in these tests. However, there are few methods that could determine FF with high accuracy using shallow-depth whole-genome sequencing data. In this study, we hypothesized that the actual FF in maternal plasma should be proportional to the discrepancy rate between the observed genotypes and inferred genotypes based on the linkage disequilibrium rule in certain polymorphism sites. Based on this hypothesis, we developed a method named Linkage Disequilibrium information-based cell-free Fetal DNA Fraction (LDFF) to accurately quantify FF in maternal plasma. This method achieves a high performance and outperforms existing methods in the fetal DNA fraction estimation. As LDFF is a gender-independent method and developed on shallow-depth samples, it can be easily incorporated into routine NIPT test and may enhance the current NIPT performance.

Identifiers

PMID34642337
PMCPMC8511193

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