Genetic history and biological adaptive landscape of the Tujia people inferred from shared haplotypes and alleles DOI Creative Commons
Jing Chen,

Mengge Wang,

Shuhan Duan

et al.

Human Genomics, Journal Year: 2024, Volume and Issue: 18(1)

Published: Sept. 18, 2024

High-quality genomic datasets from under-representative populations are essential for population genetic analysis and medical relevance. Although the Tujia most populous ethnic minority in southwestern China, previous studies have been fragmented only partially reveal their diversity landscape. The understanding of fine-scale structure potentially differentiated biological adaptive features remains nascent.

Language: Английский

Pilot work of the 10K Chinese People Genomic Diversity Project along the Silk Road suggests a complex east-west admixture landscape and biological adaptations DOI
Guanglin He,

Hongbing Yao,

Shuhan Duan

et al.

Science China Life Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

Language: Английский

Citations

4
Evolutionary history and biological adaptation of Han Chinese people on the Mongolian Plateau DOI Creative Commons
Xiangping Li, Mengge Wang, Haoran Su

et al.

hLife, Journal Year: 2024, Volume and Issue: 2(6), P. 296 - 313

Published: April 23, 2024

Complex demographic processes and natural selection pressures are critical to resolving patterns of the molecular genetic basis adaptative traits or complex diseases. Recent ancient genome data allow us trace how key evolved in different human populations over time, connecting population history with disease susceptibility western Eurasians. To fill this gap eastern Eurasians provide deep insights into evolutionary population-specific biological traits, we explored one integrative modern genomic database, including 225 out 5583 genomes first reported here. We comprehensively characterized adaptation Han Chinese individuals on Mongolian Plateau based allele frequency spectrum haplotype-resolved fragments. found strong homogeneity among geographically from Inner Mongolia (IMH). reconstructed their admixture models events, revealing that IMH had a close relationship millet farmers obtained additional gene flow Altaic-speaking populations. The enrichment selected candidate genes suggested essential metabolism-related promoted rapid environmental shifts dietary changes during agricultural innovations. Evolutionary trajectory reconstruction methylenetetrahydrofolate reductase (MTHFR) fatty acid desaturase 1 (FADS1) Neolithic transition period differentiated metabolic rate folate acid. revealed polygenicity pleiotropy genes, indicating recent polygenic adaptations, interactions, genotype-phenotype correlations have contributed architecture

Language: Английский

Citations

12
Forensic investigative genetic genealogy: expanding pedigree tracing and genetic inquiry in the genomic era DOI Creative Commons
Mengge Wang, Hongyu Chen,

Lintao Luo

et al.

Journal of genetics and genomics/Journal of Genetics and Genomics, Journal Year: 2024, Volume and Issue: unknown

Published: July 1, 2024

Genetic genealogy provides crucial insights into the complex biological relationships within contemporary and ancient human populations by analyzing shared alleles chromosomal segments that are identical descent, to understand kinship, migration patterns, population dynamics. Within forensic science, investigative genetic (FIGG) has gained prominence leveraging next-generation sequencing technologies population-specific genomic resources, opening new avenues. In this review, we synthesize current knowledge, underscore recent advancements, discuss growing role of FIGG in genomics. been pivotal revitalizing dormant inquiries offering leads numerous cold cases. Its effectiveness relies on extensive SNP profiles contributed individuals from diverse specialized databases. Advances computational genomics growth databases have spurred a profound shift application across forensics, anthropology, DNA studies. As field progresses, is evolving nascent practice more sophisticated discipline, shaping future investigations.

Language: Английский

Citations

12
Population genetic admixture and evolutionary history in the Shandong Peninsula inferred from integrative modern and ancient genomic resources DOI Creative Commons
Haoran Su, Mengge Wang, Xiangping Li

et al.

BMC Genomics, Journal Year: 2024, Volume and Issue: 25(1)

Published: June 18, 2024

Abstract Background Ancient northern East Asians (ANEA) from the Yellow River region, who pioneered millet cultivation, play a crucial role in understanding origins of ethnolinguistically diverse populations modern China and entire landscape deep genetic structure variation discovery Asians. However, direct links between ANEA geographically proximate populations, as well biological adaptive processes involved, remain poorly understood. Results Here, we generated genome-wide SNP data for 264 individuals different Han Shandong. An integrated genomic resource encompassing both ancient was compiled to examine fine-scale population admixture scenarios traits. The reconstruction demographic history hierarchical clustering patterns revealed that Shandong Peninsula share close affinity with ANEA, indicating long-term continuity mobility lower basin since early Neolithic period. Biological signatures, including those related immune metabolic pathways, were identified through analyses haplotype homozygosity allele frequency spectra. These signatures are linked complex traits such height body mass index, which may be associated adaptations cold environments, dietary practices, pathogen exposure. Additionally, trajectories over time network two highly differentiated genes, ABCC11 SLC10A1 , delineated. axillary odor bilirubin metabolism, respectively, illustrate how local can influence diversification Conclusions Our findings provide comprehensive dataset elucidates evolutionary trajectory natural selection signals disease susceptibility Chinese populations. This study serves paradigm integrating spatiotemporally genomes era medicine.

Language: Английский

Citations

4
Fine-scale biogeographical ancestry inference in Southeast and East Asians via high-efficiency markers and machine learning approaches DOI Creative Commons
Qingxin Yang, Jing Chen, Shengjie Nie

et al.

Frontiers in Ecology and Evolution, Journal Year: 2025, Volume and Issue: 13

Published: April 3, 2025

Biogeographical ancestry inference offers valuable clues for forensic cold cases, but limited information is typically obtained from substructured populations within continental East Asian and Southeast groups. This study presents an integrative genomic dataset of 3,461 individuals Asia to elucidate the fine-scale population substructure its role in precision medicine. Six nested panels were developed with increasing ancestry-informative marker (AIM) density (ranging 50 2,000 SNPs) distinguish fine genetic differences between six language groups Sino-Tibetan family. We found that 2000 AIM panel exhibited differentiation efficiency PCA comparable all loci. Additionally, we constructed a classification machine learning model average prediction accuracy 84%, highlighting critical geographical improving accuracy. Furthermore, validated deep method Locator predicting coordinates solely based on information. work highlights power integrating geographic data artificial intelligence refine biogeographical inference, offering more profound insights into structure Asia, significant implications applications.

Language: Английский

Citations

0
Genome-driven Chinese precision medicine: Biobank-scale genomic research as a new paradigm DOI
Mengge Wang,

Shuhan Duan,

Xiangping Li

et al.

The Innovation Life, Journal Year: 2025, Volume and Issue: unknown, P. 100131 - 100131

Published: Jan. 1, 2025

<p>Large-scale genomic resources from biobank sequencing projects are crucial for understanding the interplay between environmental and genetic factors in human disease health traits, as well reconstructing evolutionary history. We summarize recent advances cohorts highlight opportunities non-Eurocentric populations a multidisciplinary perspective. Initiatives like UK100K, All of Us, TOPMed precision medicine programs have shifted research paradigms problem-derived to data-driven approaches, enhancing our architecture diseases Europeans their descendants. However, biases persist, such Han bias Chinese focused on medical anthropological purposes. These contribute global inequalities disparities medicine. Evolutionary studies modern ancient genomes provide new insights into history adaptive trajectories critical mutations. findings underscore importance personal genome tailored ethnolinguistically genetically diverse populations. This strategy is vital assessing burden etiology disease. Our work emphasizes need include underrepresented diversity create comprehensive catalog variations understand biological implications.</p>

Language: Английский

Citations

0
Paleolithic Divergence and Multiple Neolithic Expansions of Ancestral Nomadic Emperor-related Paternal Lineages DOI Creative Commons
Mengge Wang,

Qiuxia Sun,

Yuhang Feng

et al.

Journal of genetics and genomics/Journal of Genetics and Genomics, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

2
Genomic insights into Neolithic founding paternal lineages around the Qinghai-Xizang plateau using integrated YanHuang resource DOI Creative Commons
Mengge Wang, Yunhui Liu,

Lintao Luo

et al.

iScience, Journal Year: 2024, Volume and Issue: 27(12), P. 111456 - 111456

Published: Nov. 22, 2024

Language: Английский

Citations

1
Editorial: Full landscape of human genomic diversity and its impact on precision medicine DOI Creative Commons
Guanglin He, Hui‐Yuan Yeh, Mengge Wang

et al.

Frontiers in Genetics, Journal Year: 2024, Volume and Issue: 15

Published: June 14, 2024

Keywords: genomic diversity, fine-scale population substructure, genome-wide SNP, paternal structure, maternal lineages

Language: Английский

Citations

0
Genetic history and biological adaptive landscape of the Tujia people inferred from shared haplotypes and alleles DOI Creative Commons
Jing Chen,

Mengge Wang,

Shuhan Duan

et al.

Human Genomics, Journal Year: 2024, Volume and Issue: 18(1)

Published: Sept. 18, 2024

High-quality genomic datasets from under-representative populations are essential for population genetic analysis and medical relevance. Although the Tujia most populous ethnic minority in southwestern China, previous studies have been fragmented only partially reveal their diversity landscape. The understanding of fine-scale structure potentially differentiated biological adaptive features remains nascent.

Language: Английский

Citations

0