Development and application of a nonbinary SNP-based microhaplotype panel for paternity testing involving close relatives

Paternity testing involving close relatives is facing challenges in the field of forensic genetics. Microhaplotype has been proposed as a promising genetic marker for their low mutation rates and high discrimination power recently. In this study, we selected 30 microhaplotypes from 1000 genome projects, including one non-binary SNP, and other six microhaplotypes from published studies containing only binary SNPs to established a panel of microhaplotypes for paternity testing. Most microhaplotypes generated a high effective number of alleles (A_e) with the harmonic mean value of A_e of 3.91 and the arithmetic mean value of heterozygosity of 0.74, respectively. We collected 54 unrelated individuals and 53 samples from six extended families. It was noting that 13 samples from six extended families were unrelated so they were also included in unrelated individuals. The pedigrees of 38 parent-child duos, 55 uncle/aunt/grandparent-child duos (non-biological parent-child duos) and 29 full sibling pairs were constructed based on 53 samples from six extended families. The genotype and haplotype results demonstrated that the combined power of discrimination (CPD) reached 0.99999999999999999999999999999999799 and the cumulative probability of exclusion (CPE) reached 0.999999999999548. The combined probability of excluding relatives (uncle/aunt/grandparent) (CPER) was 0.999999993 (>0.9999), indicating that our panel had good effectiveness in preventing the misinterpretation of close relatives being biological parents. For 38 parent-child duos, the CPI by using the microhaplotypes panel was higher than the one by using Goldeneye 20A kit due to higher polymorphism and more loci in our panel. For 55 non-biological parent-child duos, the CPIs by using STR loci could not help determine 9 non-biological parent-child duos as "exclusions" of paternity while the CPIs by using microhaplotype loci could not help exclude the parenthood of 4 non-biological parent-child duos (CPI > 0.0001). Using the CPI derived from both datasets of STRs and microhaplotypes, all the non-biological parent-child duos could be considered as exclusions. The efficiency of excluding close relatives for this panel was evaluated by analyzing the parameters of 2000 simulated pairs, and the effectiveness was 0.988 at the threshold of t₁ = 4 and t₂ = -4. Moreover, the average Log₁₀ combined full sibling index (CFSI) for all 29 full sibling pairs was about 7.55 after physical linkage taken account. These data demonstrated that this nonbinary SNPs-based microhaplotype panel has advantages in paternity testing, especially in STR mutated or close relatives involved cases.