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Updated: Jul 26, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
A pangenome reference of 36 Chinese populations
Yang Gao1,2,3,4, Xiaofei Yang5,6,7, Hao Chen3
1State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, China.
The Chinese Pangenome Consortium created high-quality genome assemblies from diverse ethnic groups, significantly expanding the human pangenome. This research enhances genomic representation for underrepresented Asian populations and aids in understanding human evolution and disease.
Area of Science:
- Genomics
- Population Genetics
- Bioinformatics
Background:
- The current human reference genome (GRCh38) lacks representation from diverse global populations, particularly those of Asian ancestry.
- A shift towards a pangenome approach is crucial for a more comprehensive understanding of human genetic variation.
Purpose of the Study:
- To address the underrepresentation of Asian populations in genomics by creating high-quality pangenome assemblies.
- To identify novel genetic variants and sequences missing from current references.
Main Methods:
- Generated 116 high-quality, haplotype-phased de novo genome assemblies from 58 core samples across 36 minority Chinese ethnic groups.
- Utilized high-fidelity long-read sequencing with an average coverage of 30.65×.
- Analyzed assemblies for small and structural variants compared to existing references.
Main Results:
- Added 189 million base pairs of euchromatic polymorphic sequences and 1,367 protein-coding gene duplications to GRCh38.
- Identified 15.9 million small variants and 78,072 structural variants, with millions novel compared to a recent pangenome reference.
- Discovered enriched archaic-derived alleles and functionally important genes in missing sequences.
Conclusions:
- The Chinese Pangenome Consortium data significantly improve genomic representation for underrepresented populations.
- The findings offer insights into human evolution, adaptation, and the genetic basis of complex diseases.
- This work highlights the importance of diverse data in advancing genomic medicine.
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