A couple of new papers on population structure in the Han Chinese have just appeared in the American Journal of Human Genetics. My comments will follow once I read the two papers.The one-dimensional subpopulation structure of the Han Chinese population (along PC1) showed a close resemblance to their sampling location son a geographic map, and there is a very high correlation of 0.93 between the mean PC1 values of samples and the median latitudes of the provinces
The results of the STRUCTURE analysis are also very interesting as they show the expected clinality of variation within China rather than sharp distinctions, paralleling the situation in the landmass of Europe. However, at K=3 the major component of the Japanese (JPT) is shown to be a low-level component within the Chinese. It's hard to interpret this, but a first hypothesis could be that the Japanese are descended from an earlier Mongoloid genetic stratum that has since been admixed in the Asian mainland with other Mongoloid groups, but retained its "purity" in the Japanese islands.The American Journal of Human Genetics, 25 November 2009
doi:10.1016/j.ajhg.2009.10.016
Genetic Structure of the Han Chinese Population Revealed by Genome-wide SNP Variation
Jieming Chen et al.
Abstract
Population stratification is a potential problem for genome-wide association studies (GWAS), confounding results and causing spurious associations. Hence, understanding how allele frequencies vary across geographic regions or among subpopulations is an important prelude to analyzing GWAS data. Using over 350,000 genome-wide autosomal SNPs in over 6000 Han Chinese samples from ten provinces of China, our study revealed a one-dimensional “north-south” population structure and a close correlation between geography and the genetic structure of the Han Chinese. The north-south population structure is consistent with the historical migration pattern of the Han Chinese population. Metropolitan cities in China were, however, more diffused “outliers,” probably because of the impact of modern migration of peoples. At a very local scale within the Guangdong province, we observed evidence of population structure among dialect groups, probably on account of endogamy within these dialects. Via simulation, we show that empirical levels of population structure observed across modern China can cause spurious associations in GWAS if not properly handled. In the Han Chinese, geographic matching is a good proxy for genetic matching, particularly in validation and candidate-gene studies in which population stratification cannot be directly accessed and accounted for because of the lack of genome-wide data, with the exception of the metropolitan cities, where geographical location is no longer a good indicator of ancestral origin. Our findings are important for designing GWAS in the Chinese population, an activity that is expected to intensify greatly in the near future.
Link
The American Journal of Human Genetics, 25 November 2009
doi:10.1016/j.ajhg.2009.10.015
Genomic Dissection of Population Substructure of Han Chinese and Its Implication in Association Studies
Shuhua Xu et al.
Abstract
To date, most genome-wide association studies (GWAS) and studies of fine-scale population structure have been conducted primarily on Europeans. Han Chinese, the largest ethnic group in the world, composing 20% of the entire global human population, is largely underrepresented in such studies. A well-recognized challenge is the fact that population structure can cause spurious associations in GWAS. In this study, we examined population substructures in a diverse set of over 1700 Han Chinese samples collected from 26 regions across China, each genotyped at ∼160K single-nucleotide polymorphisms (SNPs). Our results showed that the Han Chinese population is intricately substructured, with the main observed clusters corresponding roughly to northern Han, central Han, and southern Han. However, simulated case-control studies showed that genetic differentiation among these clusters, although very small (FST = 0.0002 ∼0.0009), is sufficient to lead to an inflated rate of false-positive results even when the sample size is moderate. The top two SNPs with the greatest frequency differences between the northern Han and southern Han clusters (FST > 0.06) were found in the FADS2 gene, which associates with the fatty acid composition in phospholipids, and in the HLA complex P5 gene (HCP5), which associates with HIV infection, psoriasis, and psoriatic arthritis. Ingenuity Pathway Analysis (IPA) showed that most differentiated genes among clusters are involved in cardiac arteriopathy (p less than 10−101). These signals indicating significant differences among Han Chinese subpopulations should be carefully explained in case they are also detected in association studies, especially when sample sources are diverse.