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. 2024 Dec 19;14(12):e70130. doi: 10.1002/ctm2.70130

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© 2024 The Author(s). Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.

This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Linkage disequilibrium information‐based noninvasive zygosity (LDNZ) for zygosity assessmnet and fetal fraction evaluation (A) Binomial distribution for the M042 twin. None of the Category 2 blocks met the conditions of p _bg ≤ .05 and p _Total ≤ .05. M042 was identified as the monozygotic twin. (B) Binomial distribution for M051 twin. 33 Category 2 blocks met the conditions of p _bg ≤ .05 and p _Total ≤ .05. M051 was identified as the dizygotic twin. (C) The distribution of total fetal fraction for 27 MZ twins and 28 DC twins. (D) The distribution of individual fetal fraction for 28 DC twins (ff1 < ff2). The difference between individual fetal fractions in M034 and M043 twins shows with multiples of 3.4‐fold (red highlight line) and 2.8‐fold (blue highlight line).