scholarly journals The northern gene flow into southeastern East Asians inferred from genome‐wide array genotyping

2022 ◽  
Author(s):  
Guanglin He ◽  
Yingxiang Li ◽  
Xing Zou ◽  
Hui‐Yuan Yeh ◽  
Renkuan Tang ◽  
...  
Keyword(s):  
Gene Flow ◽  
East Asians ◽  
Genome Wide

scholarly journals The northern gene flow into southeastern East Asians inferred from genome-wide array genotyping

2021 ◽  
Author(s):  
Guanglin He ◽  
Yingxiang Li ◽  
Xing Zou ◽  
Hui-Yuan Yeh ◽  
Renkuan Tang ◽  
...  
Keyword(s):  
Gene Flow ◽  
Genetic Differentiation ◽  
Iron Age ◽  
Yellow River ◽  
East Asian ◽  
Han Chinese ◽  
East Asians ◽  
Southeast China ◽  
Genome Wide ◽  
Genetic Cline

The population history of Southeast China remains poorly understood due to the sparse sampling of present-day populations and far less modeling with ancient genomic data. We here newly reported genome-wide genotyping data from 207 present-day Han Chinese and Hmong-Mien-speaking She people from Fujian and Taiwan, southeast China. We co-analyzed with 66 early-Neolithic to Iron-Age ancient Fujian and Taiwan individuals obtained from literature to explore the genetic continuity and admixture based on the genetic variations of high-resolution time transect. We found the genetic differentiation between northern and southern East Asians defined by a north-south East Asian genetic cline and the studied southern East Asians were clustered in the southern end of this cline. We also found that southeastern coastal continental modern East Asians harbored the genetic differentiation with other southern Tai-Kadai, Hmong-Mien, Austronesian and Austroasiatic speakers, as well as geographically close Neolithic-to-Iron Age populations, but relatedly close to post-Neolithic Yellow River ancients, which suggested the influence of southward gene flow on the modern southern coastal gene pool. Besides, we also identified one new Hmong-Mien genetic cline in East Asia with the coastal Fujian She localizing at the intersection position between Hmong-Mien and Han clines in the principal component analysis. She people show stronger genetic affinity with southern East Asian indigenous populations with the main ancestry deriving from Hanben-related populations. The southeastern Han Chinese could be modeled with the primary ancestry deriving from the group related to the Yellow River Basin millet farmers and the remaining from groups related to southeastern ancient indigenous rice farmers, which was consistent with the northern China origin of modern southeastern Han Chinese and in line with the historically and archaeologically attested southward migrations of Han people and their ancestors. Interestingly, f4-statistics and three-way admixture model results showed both coastal ancient sources related to Austronesian speakers and inland ancient sources related to Austroasiatic speakers complexed the modern observed fine-scale genetic structure here. Our estimated north-south admixture time ranges based on the decay of the linkage disequilibrium spanned from the Bronze age to historic periods, suggesting the recent large-scale population migrations and subsequent admixture participated in the formation of modern Han in Southeast Asia.

scholarly journals Genome-wide association studies in East Asians identify new loci for waist-hip ratio and waist circumference

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Wanqing Wen ◽  
Norihiro Kato ◽  
Joo-Yeon Hwang ◽  
Xingyi Guo ◽  
Yasuharu Tabara ◽  
...  
Keyword(s):  
Waist Circumference ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
East Asians ◽  
Waist Hip Ratio ◽  
Genome Wide

scholarly journals Genome-wide association analyses in east Asians identify new susceptibility loci for colorectal cancer

2012 ◽  
Vol 45 (2) ◽  
pp. 191-196 ◽  
Author(s):  
Wei-Hua Jia ◽  
◽  
Ben Zhang ◽  
Keitaro Matsuo ◽  
Aesun Shin ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Genome Wide Association ◽  
Susceptibility Loci ◽  
East Asians ◽  
Association Analyses ◽  
Genome Wide

scholarly journals Genome-wide data substantiate Holocene gene flow from India to Australia

2013 ◽  
Vol 110 (5) ◽  
pp. 1803-1808 ◽  
Author(s):  
I. Pugach ◽  
F. Delfin ◽  
E. Gunnarsdottir ◽  
M. Kayser ◽  
M. Stoneking
Keyword(s):  
Gene Flow ◽  
Genome Wide ◽  
Genome Wide Data

scholarly journals A differential expression of pyrethroid resistance genes in the malaria vector Anopheles funestus across Uganda is associated with patterns of gene flow

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0240743
Author(s):  
Maurice Marcel Sandeu ◽  
Charles Mulamba ◽  
Gareth D. Weedall ◽  
Charles S. Wondji
Keyword(s):  
Population Structure ◽  
Gene Flow ◽  
Genetic Structure ◽  
Genetic Differentiation ◽  
Insecticide Resistance ◽  
Pyrethroid Resistance ◽  
Anopheles Funestus ◽  
Metabolic Resistance ◽  
Transcription Analysis ◽  
Genome Wide

Background Insecticide resistance is challenging the effectiveness of insecticide-based control interventions to reduce malaria burden in Africa. Understanding the molecular basis of insecticides resistance and patterns of gene flow in major malaria vectors such as Anopheles funestus are important steps for designing effective resistance management strategies. Here, we investigated the association between patterns of genetic structure and expression profiles of genes involved in the pyrethroid resistance in An. funestus across Uganda and neighboring Kenya. Methods Blood-fed mosquitoes An. funestus were collected across the four localities in Uganda and neighboring Kenya. A Microarray-based genome-wide transcription analysis was performed to identify the set of genes associated with permethrin resistance. 17 microsatellites markers were genotyped and used to establish patterns of genetic differentiation. Results Microarray-based genome-wide transcription profiling of pyrethroid resistance in four locations across Uganda (Arua, Bulambuli, Lira, and Tororo) and Kenya (Kisumu) revealed that resistance was mainly driven by metabolic resistance. The most commonly up-regulated genes in pyrethroid resistance mosquitoes include cytochrome P450s (CYP9K1, CYP6M7, CYP4H18, CYP4H17, CYP4C36). However, expression levels of key genes vary geographically such as the P450 CYP6M7 [Fold-change (FC) = 115.8 (Arua) vs 24.05 (Tororo) and 16.9 (Kisumu)]. In addition, several genes from other families were also over-expressed including Glutathione S-transferases (GSTs), carboxylesterases, trypsin, glycogenin, and nucleotide binding protein which probably contribute to insecticide resistance across Uganda and Kenya. Genotyping of 17 microsatellite loci in the five locations provided evidence that a geographical shift in the resistance mechanisms could be associated with patterns of population structure throughout East Africa. Genetic and population structure analyses indicated significant genetic differentiation between Arua and other localities (FST>0.03) and revealed a barrier to gene flow between Arua and other areas, possibly associated with Rift Valley. Conclusion The correlation between patterns of genetic structure and variation in gene expression could be used to inform future interventions especially as new insecticides are gradually introduced.

scholarly journals Denisovan ancestry and population history of early East Asians

2020 ◽  
Author(s):  
Diyendo Massilani ◽  
Laurits Skov ◽  
Mateja Hajdinjak ◽  
Byambaa Gunchinsuren ◽  
Damdinsuren Tseveendorj ◽  
...  
Keyword(s):  
Gene Flow ◽  
Human Population ◽  
Modern Human ◽  
Population History ◽  
East Asians ◽  
Aboriginal Australians ◽  
North East ◽  
History Of ◽  
Female Member ◽  
Admixture Event

AbstractWe present analyses of the genome of a ~34,000-year-old hominin skull cap discovered in the Salkhit Valley in North East Mongolia. We show that this individual was a female member of a modern human population that, following the split between East and West Eurasians, experienced substantial gene flow from West Eurasians. Both she and a 40,000-year-old individual from Tianyuan outside Beijing carried genomic segments of Denisovan ancestry. These segments derive from the same Denisovan admixture event(s) that contributed to present-day mainland Asians but are distinct from the Denisovan DNA segments in present-day Papuans and Aboriginal Australians.

scholarly journals Long-Term Reciprocal Gene Flow in Wild and Domestic Geese Reveals Complex Domestication History

2020 ◽  
Vol 10 (9) ◽  
pp. 3061-3070 ◽  
Author(s):  
Marja E Heikkinen ◽  
Minna Ruokonen ◽  
Thomas A White ◽  
Michelle M Alexander ◽  
İslam Gündüz ◽  
...  
Keyword(s):  
Gene Flow ◽  
Wild Form ◽  
Nucleotide Polymorphisms ◽  
Anser Anser ◽  
Domestic Species ◽  
Genome Wide ◽  
Domestication Process ◽  
Historical Writings ◽  
The Impact

Abstract Hybridization has frequently been observed between wild and domestic species and can substantially impact genetic diversity of both counterparts. Geese show some of the highest levels of interspecific hybridization across all bird orders, and two of the goose species in the genus Anser have been domesticated providing an excellent opportunity for a joint study of domestication and hybridization. Until now, knowledge of the details of the goose domestication process has come from archaeological findings and historical writings supplemented with a few studies based on mitochondrial DNA. Here, we used genome-wide markers to make the first genome-based inference of the timing of European goose domestication. We also analyzed the impact of hybridization on the genome-wide genetic variation in current populations of the European domestic goose and its wild progenitor: the graylag goose (Anser anser). Our dataset consisted of 58 wild graylags sampled around Eurasia and 75 domestic geese representing 14 breeds genotyped for 33,527 single nucleotide polymorphisms. Demographic reconstruction and clustering analysis suggested that divergence between wild and domestic geese around 5,300 generations ago was followed by long-term genetic exchange, and that graylag populations have 3.2–58.0% admixture proportions with domestic geese, with distinct geographic patterns. Surprisingly, many modern European breeds share considerable (> 10%) ancestry with the Chinese domestic geese that is derived from the swan goose Anser cygnoid. We show that the domestication process can progress despite continued and pervasive gene flow from the wild form.

scholarly journals Meta-analysis of 208370 East Asians identifies 113 susceptibility loci for systemic lupus erythematosus

2020 ◽  
pp. annrheumdis-2020-219209
Author(s):  
Xianyong Yin ◽  
Kwangwoo Kim ◽  
Hiroyuki Suetsugu ◽  
So-Young Bang ◽  
Leilei Wen ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Lupus Erythematosus ◽  
Large Scale ◽  
Meta Analysis ◽  
Genetic Correlations ◽  
Susceptibility Loci ◽  
Systemic Lupus ◽  
East Asians ◽  
Genome Wide ◽  
Causal Variants

ObjectiveSystemic lupus erythematosus (SLE), an autoimmune disorder, has been associated with nearly 100 susceptibility loci. Nevertheless, these loci only partially explain SLE heritability and their putative causal variants are rarely prioritised, which make challenging to elucidate disease biology. To detect new SLE loci and causal variants, we performed the largest genome-wide meta-analysis for SLE in East Asian populations.MethodsWe newly genotyped 10 029 SLE cases and 180 167 controls and subsequently meta-analysed them jointly with 3348 SLE cases and 14 826 controls from published studies in East Asians. We further applied a Bayesian statistical approach to localise the putative causal variants for SLE associations.ResultsWe identified 113 genetic regions including 46 novel loci at genome-wide significance (p<5×10−8). Conditional analysis detected 233 association signals within these loci, which suggest widespread allelic heterogeneity. We detected genome-wide associations at six new missense variants. Bayesian statistical fine-mapping analysis prioritised the putative causal variants to a small set of variants (95% credible set size ≤10) for 28 association signals. We identified 110 putative causal variants with posterior probabilities ≥0.1 for 57 SLE loci, among which we prioritised 10 most likely putative causal variants (posterior probability ≥0.8). Linkage disequilibrium score regression detected genetic correlations for SLE with albumin/globulin ratio (rg=−0.242) and non-albumin protein (rg=0.238).ConclusionThis study reiterates the power of large-scale genome-wide meta-analysis for novel genetic discovery. These findings shed light on genetic and biological understandings of SLE.

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