Dr HouFeng Zheng was invited by SimulationSeries Media to give an interview on population genetics study in Chinese population.










Overview
The China Precision BioBank (CPBB) initiative has directly evolved from and significantly expanded upon the previous Westlake BioBank for Chinese (WBBC) project (https://wbbc.westlake.edu.cn). It is a population-based prospective study, and the major purpose is to better understand the effect of genetic and environmental factors on human complex diseases, focusing on the bone health from young population to the elderly. The CPBB project has rounded up a total of 67,847 participants, covering 31 provincial administrative regions across China. Biological specimens including whole blood, serum, urine, and stool were collected and stored for the participants. Among these, a subset of 36,639 participants with comprehensive phenotypic data was defined as the CPBB main cohort (CPBB1). The remaining 31,208 samples were collected via multi-center collaborations and classified as CPBB collaborative dataset (CPBB2). The biobank comprises a wide range of demographic data (e.g., age, sex, nation, birth place), questionnaires (e.g., Life style, PSQI, IPAQ, SQFFQ), anthropometric measures (e.g., body composition, DXA measurements, blood pressure, grip strength, waist, hip and thigh circumference) and blood biochemistry data(e.g., bone turnover markers, blood lipid markers, thyroid function markers, fasting glucose, HbA1c, Hepatic and Kidney-related measures). The multi-omics data (e.g., whole genome sequencing/genotyping and gut metagenome sequencing) were available for ~43,000 study samples at this stage.
Next, the CPBB will commence the "100K Initiative", which aims to enlarge the network encompassing hospitals, universities, and research institutions. Ultimately, a shared database of 100,000 individuals from the Chinese population will be established, covering all regions across the nation. It will include a wide range of diseases and traits and the genomics data. Through the analysis of genomic data associated with disease and health, accurate and reliable prediction methods will be furnished for disease screening, diagnosis, prevention, control, and treatment.
Comprehensive Biobank
The biobank comprises a wide range of data categories:
Demographics
Age, sex, ethnicity, birthplace, and other key demographic indicators to ensure representative sampling.
Questionnaires
Lifestyle, sleep quality, physical activity, dietary frequency, and other behavioral factors affecting health outcomes.
Anthropometric Measures
Body composition, bone density measurements, blood pressure, grip strength, waist, hip, and thigh circumference.
Blood Biochemistry
Blood lipid markers, thyroid function markers, fasting glucose, HbA1c, hepatic and kidney-related measures.
Bone metabolite
Osteocalcin, P1NP, NBAP, β-CTX, serum 1,25(OH)2D3, and serum IGF-1.
Omics
Whole Genome sequencing, proteome, and gut microbiome.
Videos
Our Mission
We are dedicated to integrating multi-level biological data with advanced data science methodologies to provide scientific evidence and technical support for precision health assessment, disease prevention, and personalized medicine for the Chinese population.
Contact Us
If you have any questions regarding the cohort and data, please contact:
Suzhou Laboratory of Precision Health and Data Science (szPHDS)
The Second Affiliated Hospital, Soochow University
Sanxiang Road No.1055, Gusu District, Suzhou, Jiangsu, China



