Genotyping of common SIRPB1 copy number variant using Paralogue Ratio Test coupled to MALDI-MS quantification

A common copy-number variant within SIRPB1 correlates with human Out-of-Africa migration after genetic drift correction

Previous reports have proposed that personality may have played a role on human Out-Of-Africa migration, pinpointing some genetic variants that were positively selected in the migrating populations. In this work, we discuss the role of a common copy-number variant within the SIRPB1 gene, recently associated with impulsive behavior, in the human Out-Of-Africa migration. With the analysis of the variant distribution across forty-two different populations, we found that the SIRPB1 haplotype containing duplicated allele significantly correlated with human migratory distance, being one of the few examples of positively selected loci found across the human world colonization. Circular Chromosome Conformation Capture (4C-seq) experiments from the SIRPB1 promoter revealed important 3D modifications in the locus depending on the presence or absence of the duplication variant. In addition, a 3’ enhancer showed neural activity in transgenic models, suggesting that the presence of the CNV may compromise the expression of SIRPB1 in the central nervous system, paving the way to construct a molecular explanation of the SIRPB1 variants role in human migration.

Analysis of Copy Number Variation Using the Paralogue Ratio Test (PRT)

Copy number variation (CNV), where a segment of DNA differs in copy number between different individuals, is an extensive and often underappreciated source of genetic variation within species. However, reliably determining copy number of a particular DNA sequence for a large number of samples can be challenging. Here, I describe and review the paralogue ratio test (PRT) in detail. PRT was developed to robustly type the CNV of the beta-defensin locus using small amounts of genomic DNA in a high-throughput manner, and has been applied successfully at many other loci. I discuss the strategies for designing successful PRT assays using both manual and bioinformatics methods, how to optimize experimental conditions, and approaches for analyzing the data. I discuss strengths and weaknesses of the approach, and how to troubleshoot results, as well as the range of problems to which PRT can be a potential solution.