qkat-quantitative-semi-automated-typing-killer-cell-immunoglobulin

qKAT: Quantitative Semi-automated Typing of Killer-cell Immunoglobulin-like Receptor Genes

Killer cell immunoglobulin-like receptors (KIRs) are a set of inhibitory and activating immune receptors, on natural killer (NK) and T cells, encoded by a ...

University of Cambridge

University of Geneva

The peopling of East Asia by the first modern humans is strongly debated from a genetic point of view. A north-south genetic differentiation observed in this geographic area suggests different hypotheses on the origin of Northern East Asian (NEA) and Southern East Asian (SEA) populations. In this study, the highly polymorphic HLA markers were used to investigate East Asian genetic diversity. Our database covers a total of about 127,000 individuals belonging to 84 distinct Asian populations tested for HLA-A, -B, -C, -DPB1, and/or -DRB1 alleles. Many Chinese populations are represented, which have been sampled in the last 30 years but rarely taken into account in international research due to their data published in Chinese. By using different statistical methods, we found a significant correlation between genetics and geography and relevant genetic clines in East Asia. Additionally, HLA alleles appear to be unevenly distributed: some alleles observed in NEA populations are widespread at the global level, while some alleles observed in SEA populations are virtually unique in Asia. The HLA genetic variation in East Asia is also characterized by a decrease of diversity from north to south, although a reverse pattern appears when one only focuses on alleles restricted to Asia. These results reflect a more complex migration history than that illustrated by the "southern-origin" hypothesis, as genetic contribution of ancient human migrations through a northern route has probably been quite substantial. We thus suggest a new overlapping model where northward and southward opposite migrations occurring at different periods overlapped.

Challenging views on the peopling history of East Asia: the story according to HLA markers.

Genetic differences between Northeast Asian (NEA) and Southeast Asian (SEA) populations have been observed in numerous studies. At the among-population level, despite a clear north-south differentiation observed for many genetic markers, debates were led between abrupt differences and a continuous pattern. At the within-population level, whether NEA or SEA populations have higher genetic diversity is also highly controversial. In this study, we analyzed a large set of HLA data from East Asia in order to map the genetic variation among and within populations in this continent and to clarify the distribution pattern of HLA lineages and alleles. We observed a genetic differentiation between NEA and SEA populations following a continuous pattern from north to south, and we show a significant and continuous decrease of HLA diversity by the same direction. This continuity is shaped by clinal distributions of many HLA lineages and alleles with increasing or decreasing frequencies along the latitude. These results bring new evidence in favor of the "overlapping model" proposed previously for East Asian peopling history, whereby modern humans migrated eastward from western Eurasia via two independent routes along each side of the Himalayas and, later, overlapped in East Asia across open land areas. Our study strongly suggests that intensive gene flow between NEA and SEA populations occurred and shaped the latitude-related continuous pattern of genetic variation and the peculiar HLA lineage and allele distributions observed in this continent. Probably for a very long period, the exact duration of these events remains to be estimated. 

HLA variation reveals genetic continuity rather than population group structure in East Asia.

Recent genetic studies have suggested that the colonization of East Asia by modern humans was more complex than a single origin from the South, and that a genetic contribution via a Northern route was probably quite substantial.

Da Di

Department of Pathology

University of Cambridge

qKAT: Quantitative Semi-automated Typing of Killer-cell Immunoglobulin-like Receptor Genes

Da Di

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Department of Pathology

University of Cambridge

qKAT: Quantitative Semi-automated Typing of Killer-cell Immunoglobulin-like Receptor Genes

Department of Pathology