Literature DB >> 28537755

A Pilot Study of Noninvasive Prenatal Diagnosis of Alpha- and Beta-Thalassemia with Target Capture Sequencing of Cell-Free Fetal DNA in Maternal Blood.

Wenjuan Wang1, Yuan Yuan2,3, Haiqing Zheng1, Yaoshen Wang2,3, Dan Zeng1, Yihua Yang4, Xin Yi2,3,5, Yang Xia6, Chunjiang Zhu1.   

Abstract

AIMS: Thalassemia is a dangerous hematolytic genetic disease. In south China, ∼24% Chinese carry alpha-thalassemia or beta-thalassemia gene mutations. Given the fact that the invasive sampling procedures can only be performed by professionals in experienced centers, it may increase the risk of miscarriage or infection. Thus, most people are worried about the invasive operation. As such, a noninvasive and accurate prenatal diagnosis is needed for appropriate genetic counseling for families with high risks. Here we sought to develop capture probes and their companion analysis methods for the noninvasive prenatal detection of deletional and nondeletional thalassemia.
MATERIALS AND METHODS: Two families diagnosed as carriers of either beta-thalassemia gene or Southeast Asian deletional alpha-thalassemia gene mutation were recruited. The maternal plasma and amniotic fluid were collected for prenatal diagnosis. Probes targeting exons of the genes of interest and the highly heterozygous SNPs within the 1Mb flanking region were designed. The target capture sequencing was performed with plasma DNA from the pregnant woman and genomic DNA from the couples and their children. Then the parental haplotype was constructed by the trios-based strategy. The fetal haplotype was deduced from the parental haplotype with a hidden Markov model-based algorithm.
RESULTS: The fetal genotypes were successfully deduced in both families noninvasively. The noninvasively constructed haplotypes of both fetuses were identical to the invasive prenatal diagnosis results with an accuracy rate of 100% in the target region.
CONCLUSION: Our study demonstrates that the effective noninvasive prenatal diagnosis of alpha-thalassemia and beta-thalassemia can be achieved with the targeted capture sequencing and the haplotype-assisted analysis method.

Entities:  

Keywords:  SNP; massively parallel sequencing; noninvasive prenatal test; target region capture; thalassemia

Mesh:

Substances:

Year:  2017        PMID: 28537755      PMCID: PMC6016721          DOI: 10.1089/gtmb.2016.0411

Source DB:  PubMed          Journal:  Genet Test Mol Biomarkers        ISSN: 1945-0257


  26 in total

1.  Prenatal exclusion of beta thalassaemia major by examination of maternal plasma.

Authors:  Rossa W K Chiu; Tze K Lau; Tse N Leung; Katherine C K Chow; David H K Chui; Y M Dennis Lo
Journal:  Lancet       Date:  2002-09-28       Impact factor: 79.321

2.  Molecular epidemiological survey of haemoglobinopathies in the Guangxi Zhuang Autonomous Region of southern China.

Authors:  F Xiong; M Sun; X Zhang; R Cai; Y Zhou; J Lou; L Zeng; Q Sun; Q Xiao; X Shang; X Wei; T Zhang; P Chen; X Xu
Journal:  Clin Genet       Date:  2010-04-19       Impact factor: 4.438

3.  Maternal plasma DNA sequencing reveals the genome-wide genetic and mutational profile of the fetus.

Authors:  Y M Dennis Lo; K C Allen Chan; Hao Sun; Eric Z Chen; Peiyong Jiang; Fiona M F Lun; Yama W Zheng; Tak Y Leung; Tze K Lau; Charles R Cantor; Rossa W K Chiu
Journal:  Sci Transl Med       Date:  2010-12-08       Impact factor: 17.956

4.  Microsatellite markers within --SEA breakpoints for prenatal diagnosis of HbBarts hydrops fetalis.

Authors:  Sherry Sze Yee Ho; Samuel S Chong; Evelyn S C Koay; Yiong Huak Chan; Ponnusamy Sukumar; Lily-Lily Chiu; Wen Wang; Ashim Roy; Mary Rauff; Lin Lin Su; Arijit Biswas; Mahesh Choolani
Journal:  Clin Chem       Date:  2006-12-07       Impact factor: 8.327

5.  Genome-wide fetal aneuploidy detection by maternal plasma DNA sequencing.

Authors:  Diana W Bianchi; Lawrence D Platt; James D Goldberg; Alfred Z Abuhamad; Amy J Sehnert; Richard P Rava
Journal:  Obstet Gynecol       Date:  2012-05       Impact factor: 7.661

6.  A minimal set of SNPs for the noninvasive prenatal diagnosis of β-thalassaemia.

Authors:  Thessalia E Papasavva; Carsten W Lederer; Jan Traeger-Synodinos; Ariadne Mavrou; Emmanuel Kanavakis; Christiana Ioannou; Christiana Makariou; Marina Kleanthous
Journal:  Ann Hum Genet       Date:  2013-01-31       Impact factor: 1.670

7.  Intrauterine diagnosis of thalassemia.

Authors:  Y W Kan; D G Nathan; G Cividalii; F Frigoletto
Journal:  Ann N Y Acad Sci       Date:  1974       Impact factor: 5.691

8.  Prenatal diagnosis of Chinese homozygous alpha-thalassaemia 1 and haemoglobin H disease by analysis of alpha- and phi zeta-globin genes in chorionic villi and amniocytes.

Authors:  T M Ko; F J Hsieh; P M Hsu; T Y Lee
Journal:  Prenat Diagn       Date:  1989-10       Impact factor: 3.050

9.  Integration of targeted sequencing and NIPT into clinical practice in a Chinese family with maple syrup urine disease.

Authors:  Yanqin You; Yan Sun; Xuchao Li; Yali Li; Xiaoming Wei; Fang Chen; Huijuan Ge; Zhangzhang Lan; Qian Zhu; Ying Tang; Shujuan Wang; Ya Gao; Fuman Jiang; Jiaping Song; Quan Shi; Xuan Zhu; Feng Mu; Wei Dong; Vince Gao; Hui Jiang; Xin Yi; Wei Wang; Zhiying Gao
Journal:  Genet Med       Date:  2014-03-06       Impact factor: 8.822

10.  Noninvasive prenatal detection for pathogenic CNVs: the application in α-thalassemia.

Authors:  Huijuan Ge; Xuan Huang; Xuchao Li; Shengpei Chen; Jing Zheng; Haojun Jiang; Chunlei Zhang; Xiaoyu Pan; Jing Guo; Fang Chen; Ning Chen; Qun Fang; Hui Jiang; Wei Wang
Journal:  PLoS One       Date:  2013-06-28       Impact factor: 3.240

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  2 in total

1.  Noninvasive prenatal screening test for compound heterozygous beta thalassemia using an amplification refractory mutation system real-time polymerase chain reaction technique.

Authors:  Narutchala Suwannakhon; Tanapat Pangeson; Teerapat Seeratanachot; Khwanruedee Mahingsa; Arunee Pingyod; Wanwipa Bumrungpakdee; Torpong Sanguansermsri
Journal:  Hematol Rep       Date:  2019-09-18

2.  Noninvasive prenatal prediction of fetal haplotype with Spearman rank correlation analysis model.

Authors:  Du Hanxiao; Sun Luming; Chen Songchang; Yang Jingmin; Zhang Yueping; Zhang Shuo; Chen Hongyan; Jiang Ning; Lu Daru
Journal:  Mol Genet Genomic Med       Date:  2022-05-29       Impact factor: 2.473

  2 in total

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