Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of California Davis Health, Sacramento, CA.
Natera, Inc, San Carlos, CA.
Prenat Diagn. 2020 Jan;40(2):179-184. doi: 10.1002/pd.5609. Epub 2019 Nov 21.
The performance of noninvasive prenatal screening (NIPS) for fetal aneuploidy in twin pregnancies is dependent on the amount of placentally derived cell-free DNA, the "fetal fraction (FF)," present in maternal plasma. We report FF values in monozygotic (MZ) and dizygotic (DZ) pregnancies.
We reviewed FF in pregnancies at 10 to 20 completed weeks gestational age based on single-nucleotide polymorphism (SNP)-based NIPS where zygosity was routinely established in twin pregnancies. The cohort included 121 446 (96.3%) singleton, 1454 (1.2%) MZ, and 3161 (2.5%) DZ pregnancies. For DZ twins, individual FFs were measured.
Combined FF for DZ and MZ fetuses were 35% and 26% greater than singletons, respectively. The individual FF contributions from each fetus in DZ twins were, on average, 32% less than singletons. FF in DZ twin pairs were moderately correlated (Pearson correlation coefficient.66). When a threshold of 2.8% FF was applied to define uninterpretable results, 1.7% (2102/121 446) of singletons, 0.8% (11/1454) of MZ pairs, and 5.6% (178/3161) of DZ pairs were uninterpretable.
For optimal aneuploidy NIPS in twin pregnancies, zygosity should be established and in DZ twins FF for both fetuses should be determined to identify those cases where results can be reliably interpreted.
胎儿非整倍体无创产前筛查(NIPS)在双胎妊娠中的表现取决于母体外周血中游离胎盘 DNA 的量,即“胎儿分数(FF)”。我们报告了单合子(MZ)和双合子(DZ)妊娠中的 FF 值。
我们根据基于单核苷酸多态性(SNP)的 NIPS 回顾了 10 至 20 孕周妊娠的 FF 值,其中双胎妊娠的合子性通常是常规确定的。该队列包括 121446 例(96.3%)单胎妊娠、1454 例(1.2%)MZ 妊娠和 3161 例(2.5%)DZ 妊娠。对于 DZ 双胎妊娠,单独测量了每个胎儿的 FF。
DZ 和 MZ 胎儿的联合 FF 分别比单胎妊娠高 35%和 26%。DZ 双胎妊娠中每个胎儿的个体 FF 贡献平均比单胎妊娠低 32%。DZ 双胎妊娠的 FF 相关性适中(Pearson 相关系数为 0.66)。当将 2.8%的 FF 阈值应用于定义无法解释的结果时,1.7%(2102/121446)的单胎妊娠、0.8%(11/1454)的 MZ 双胎妊娠和 5.6%(178/3161)的 DZ 双胎妊娠无法解释。
对于双胎妊娠最佳的染色体非整倍体 NIPS,应确定合子性,并且应确定 DZ 双胞胎的两个胎儿的 FF,以识别那些可以可靠解释结果的病例。