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However, the feasibility of NIPPT in twin pregnancies has remained uncertain. As a pilot study, we developed a practical method to noninvasively determine the paternity of twin pregnancies by maternal plasma DNA sequencing based on a massively parallel sequencing platform. Blood samples were collected from 15 pregnant women (twin pregnancies at 9\u201318 weeks of gestation). Parental DNA and maternal plasma cell\u2010free DNA were analyzed with custom\u2010designed probes covering 5226 polymorphic SNP loci. A mathematical model for data interpretation was established, including the zygosity determination and paternity index calculations. Each plasma sample was independently tested against the alleged father and 90 unrelated males. As a result, the zygosity in each twin case was correctly determined, prior to paternity analysis. Further, the correct biological father was successfully identified, and the paternity of all 90 unrelated males was excluded in each case. Our study demonstrates that NIPPT can be performed for twin pregnancies. This finding may contribute to development in NIPPT and diagnosis of certain genetic diseases.<\/jats:p>","DOI":"10.1002\/elps.202000036","type":"journal-article","created":{"date-parts":[[2020,4,6]],"date-time":"2020-04-06T03:58:57Z","timestamp":1586145537000},"page":"1095-1102","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Noninvasive prenatal paternity testing by maternal plasma DNA sequencing in twin pregnancies"],"prefix":"10.1002","volume":"41","author":[{"given":"Yifan","family":"Xie","sequence":"first","affiliation":[{"name":"BGI Education Center University of Chinese Academy of Sciences  Shenzhen P.\u00a0R.\u00a0China"},{"name":"MGI Tech Co., Ltd.  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