A Practical Genome Scan for Population-Specific Strong Selective Sweeps That Have Reached Fixation

Phenotypic divergences between modern human populations have developed as a result of genetic adaptation to local environments over the past 100,000 years. To identify genes involved in population-specific phenotypes, it is necessary to detect signatures of recent positive selection in the human genome. Although detection of elongated linkage disequilibrium (LD) has been a powerful tool in the field of evolutionary genetics, current LD-based approaches are not applicable to already fixed loci. Here, we report a method of scanning for population-specific strong selective sweeps that have reached fixation. In this method, genome-wide SNP data is used to analyze differences in the haplotype frequency, nucleotide diversity, and LD between populations, using the ratio of haplotype homozygosity between populations. To estimate the detection power of the statistics used in this study, we performed computer simulations and found that these tests are relatively robust against the density of typed SNPs and demographic parameters if the advantageous allele has reached fixation. Therefore, we could determine the threshold for maintaining high detection power, regardless of SNP density and demographic history. When this method was applied to the HapMap data, it was able to identify the candidates of population-specific strong selective sweeps more efficiently than the outlier approach that depends on the empirical distribution. This study, confirming strong positive selection on genes previously reported to be associated with specific phenotypes, also identifies other candidates that are likely to contribute to phenotypic differences between human populations

A replication study of the association between the IL12B promoter allele CTCTAA and susceptibility to cerebral malaria in Thai population

<p>Abstract</p> <p>Background</p> <p>Interleukin-12 (IL-12), a heterodimeric cytokine composed of p35 and p40 subunits, has been thought to play an important role in the pathogenesis of malaria. The IL-12p40 subunit is encoded by the <it>IL12B </it>gene. An <it>IL12B </it>promoter allele, CTCTAA, at rs17860508 has been reported to be associated with susceptibility to cerebral malaria in African populations. However, this association has not so far been replicated in non-African populations.</p> <p>Methods</p> <p>To examine whether the CTCTAA allele is associated with susceptibility to cerebral malaria in Asian populations, 303 Thai patients with <it>Plasmodium falciparum </it>malaria (109 cerebral malaria and 194 mild malaria patients) were genotyped for rs17860508 by PCR-direct sequencing.</p> <p>Results</p> <p>The CTCTAA allele showed a significant association with susceptibility to cerebral malaria in the Thai population (allelic OR = 1.37; one sided <it>P</it>-value = 0.030).</p> <p>Conclusions</p> <p>The existence of a significant association between the CTCTAA allele and susceptibility to cerebral malaria was confirmed in Southeast Asian population, which was previously reported in African populations.</p

Differentiation of N-acetyltransferase 2 (NAT2) rapid and intermediate acetylator based on genotype and urinary assay

BackgroundDetermination of the acetylator type of NAT2 generally can be predicted based on genotype data from the NAT2 database. However, in some reported studies, it does not show 100 per cent concordance with the phenotype based on urinary assay. The assay generally only differentiates the rapid and slow acetylator but does not consider the intermediate one. AimsWe conducted this study to define the phenotype of NAT2 based on both genotyping and urinary assay and to determine the concordance rate between both methods in rapid and intermediate acetylator groups. Methods NAT2 genotyping was done using the PCR-direct sequencing in a total of 30 healthy subjects. However, for the NAT2 phenotypes we only selected 19 healthy subjects that carry rapid or intermediate acetylator genotype, without involving slow acetylator phenotype. The assay was done by measuring the ratios of urinary caffeine metabolites following controlled diet exposure.Results Both data obtained from genotyping and urinary assay showed 2 samples that belonged to the rapid acetylator and 17 samples that belonged to the intermediate acetylator. The mean metabolic ratio of the rapid acetylator group showed a higher level (0.5) than the intermediate group (0.28). The predicted acetylation status of NAT2 SNPs from genotyping was matched with the phenotype which was determined by urinary analysis.ConclusionOur result showed a 100 per cent concordance of NAT2 phenotype based on the genotyping and urinary assay. Based on this study we suggest that NAT2 phenotype based on genotyping method is simpler and faster, rather than using the urinary assay that is more laborious and costly

HLA-VBSeq v2: improved HLA calling accuracy with full-length Japanese class-I panel

HLA-VBSeq is an HLA calling tool developed to infer the most likely HLA types from high-throughput sequencing data. However, there is still room for improvement in specific genetic groups because of the diversity of HLA alleles in human populations. Here, we present HLA-VBSeq v2, a software application that makes use of a new Japanese HLA reference panel to enhance calling accuracy for Japanese HLA class-I genes. Our analysis showed significant improvements in calling accuracy in all HLA regions, with prediction accuracies achieving over 99.0, 97.8, and 99.8% in HLA-A, B and C, respectively

Regional heritability mapping identifies several novel loci (STAT4, ULK4, and KCNH5) for primary biliary cholangitis in the Japanese population

原発性胆汁性胆管炎の新たな遺伝要因を同定 --ヒト全ゲノム領域へのRHM法による世界初の成果--. 京都大学プレスリリース. 2021-04-09.While the advent of GWAS more than a decade ago has ushered in remarkable advances in our understanding of complex traits, the limitations of single-SNP analysis have also led to the development of several other approaches. Simulation studies have shown that the regional heritability mapping (RHM) method, which makes use of multiple adjacent SNPs jointly to estimate the genetic effect of a given region of the genome, generally has higher detection power than single-SNP GWAS. However, thus far its use has been mostly limited to agricultural settings, and its potential for the discovery of new genes in human diseases is yet to be fully exploited. In this study, by applying the RHM method to primary biliary cholangitis (PBC) in the Japanese population, we identified three novel loci (STAT4, ULK4, and KCNH5) at the genome-wide significance level, two of which (ULK4 and KCNH5) have not been found associated with PBC in any population previously. Notably, these genes could not be detected by using conventional single-SNP GWAS, highlighting the potential of the RHM method for the detection of new susceptibility loci in human diseases. These findings thereby provide strong empirical evidence that RHM is an effective and practical complementary approach to GWAS in this context. Also, liver tissue mRNA microarray analysis revealed higher gene expression levels in ULK4 in PBC patients (P < 0.01). Lastly, we estimated the common SNP heritability of PBC in the Japanese population (0.210 ± 0.026)