RESUMO
The phenotype-first approach (PFA) and data-driven approach (DDA) have both greatly facilitated anthropological studies and the mapping of trait-associated genes. However, the pros and cons of the two approaches are poorly understood. Here, we systematically evaluated the two approaches and analyzed 14,838 facial traits in 2,379 Han Chinese individuals. Interestingly, the PFA explained more facial variation than the DDA in the top 100 and 1,000 except in the top 10 phenotypes. Accordingly, the ratio of heterogeneous traits extracted from the PFA was much greater, while more homogenous traits were found using the DDA for different sex, age, and BMI groups. Notably, our results demonstrated that the sex factor accounted for 30% of phenotypic variation in all traits extracted. Furthermore, we linked DDA phenotypes to PFA phenotypes with explicit biological explanations. These findings provide new insights into the analysis of multidimensional phenotypes and expand the understanding of phenotyping approaches.
RESUMO
In kinship tests, the investigating of the forensic STRs usually provides decisive information to resolve relationship cases. We describe a parentage case with 3 genetic incompatibilities (D6S1043, D18S51 and D2S1338) between the child and alleged parent. With 90 STR loci and 100 SNP loci, the massively parallel sequencing (MPS)-based genotyping results support the certainty of parentage, and the mismatched alleles were considered to be mutations. MPS can provide additional allele sequence structures that can be used to infer the origins of the mutations. SNPs as supplementary markers can provide effective information to give an unequivocal statement of the parentage.
