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We initiate the Westlake BioBank for Chinese (WBBC) pilot project with 4,535 whole-genome sequencing (WGS) individuals and 5,841 high-density genotyping individuals, and identify 81.5 million SNPs and INDELs, of which 38.5% are absent in dbSNP Build 151. We provide a population-specific reference panel and an online imputation server ( https://wbbc.westlake.edu.cn/ ) which could yield substantial improvement of imputation performance in Chinese population, especially for low-frequency and rare variants. By analyzing the singleton density of the WGS data, we find selection signatures in SNX29 , DNAH1 and WDR1 genes, and the derived alleles of the alcohol metabolism genes ( ADH1A and ADH1B ) emerge around 7,000 years ago and tend to be more common from 4,000 years ago in East Asia. Genetic evidence supports the corresponding geographical boundaries of the Qinling-Huaihe Line and Nanling Mountains, which separate the Han Chinese into subgroups, and we reveal that North Han was more homogeneous than South Han. Biobanks of genetic data have been primarily in European populations, which gives us an incomplete understanding of complex traits across populations. Here, the authors initiate the Westlake BioBank for Chinese (WBBC) pilot project with 4,535 whole genome sequences and 5,841 high-density genotypes from China, characterizing large-scale genomic variation in Chinese populations.

Over the past few years (2020-2025), our understanding of Toll-like receptors (TLRs) in diabetes has evolved significantly, transitioning from their traditional role as innate immune sentinels to central integrators within the immunometabolic hub. Aberrant TLR activation, often triggered by metabolic damage-associated molecular patterns (DAMPs), contributes fundamentally to pancreatic β-cell dysfunction and systemic insulin resistance. To provide a comprehensive synthesis of these developments, we performed a targeted literature search across PubMed and Web of Science, prioritizing high-impact studies published between 2020 and 2025. This review explores the complex, often non-classical, mechanisms driving this pathology, particularly highlighting the emerging \"Trojan horse\" pathway-an exosomal stealth delivery system wherein gut-derived vesicles covertly transport inflammatory ligands directly into the endosomal compartments of β-cells, bypassing traditional surface receptor surveillance. Furthermore, recent advances in single-cell transcriptomics and Mendelian randomization have unraveled the cellular heterogeneity of the β-cell immune response and established causal genetic links to metaflammation. Building on these mechanistic insights, we propose a preliminary framework for precision medicine that incorporates targeted nanotherapeutic delivery and polygenic risk stratification. Ultimately, we propose that the future management of metabolic diseases must rely not on indiscriminate immunosuppression, but on the careful and precise recalibration of the immunometabolic thermostat.

Limited whole genome sequencing (WGS) studies in Asian populations result in a lack of representative reference panels, thus hindering the discovery of ancestry-specific variants. Here, we present the South and East Asian reference Database (SEAD) panel ( https://imputationserver.westlake.edu.cn/ ), which integrates WGS data for 11,067 individuals from various sources across 17 Asian countries. The SEAD panel, comprising 22,134 haplotypes and 88,294,957 variants, demonstrates improved imputation accuracy for South Asian populations compared to 1000 Genomes Project, TOPMed, and ChinaMAP panels, with a higher proportion of well-imputed rare variants. For East Asian populations, SEAD shows concordance comparable to ChinaMAP, but outperforming TOPMed. Additionally, we apply the SEAD panel to conduct a genome-wide association study for total hip (Hip) and femoral neck (FN) bone mineral density (BMD) traits in 5369 genotyped Chinese samples. The single-variant test suggests that rare variants near SNTG1 are associated with Hip BMD (rs60103302, MAF = 0.0092, P  = 1.67 × 10 −7 ), and variant-set analysis further supports the association ( P slide_window  = 9.08 × 10 −9 , P gene_centric  = 5.27 × 10 −8 ). This association was not reported previously and can only be detected by using Asian reference panels. Preliminary in vitro experiments for one of the rare variants identified provide evidence that it upregulates SNTG1 expression, which could in turn inhibit the proliferation and differentiation of preosteoblasts. Limited whole genome sequencing (WGS) of Asian populations results in a lack of representative reference panels, hindering imputation of Asian ancestry-specific genetic variants. Here the authors use WGS data from 11,067 individuals across 17 Asian countries to create a new reference panel which shows improved imputation accuracy for South Asian populations.

Abstract Coexistence and cooperation between dogs and humans over thousands of years have supported convergent evolutionary processes in the two species. Previous studies found that Eurasian dogs evolved into a distinct geographic cluster. In this study, we used the genomes of 242 European dogs, 38 Southeast Asian indigenous (SEAI) dogs, and 41 gray wolves to identify adaptation of European dogs . We report 86 unique positively selected genes in European dogs, among which is LCT (lactase). LCT encodes lactase, which is fundamental for the digestion of lactose. We found that an A-to-G mutation (chr19:38,609,592) is almost fixed in Middle Eastern and European dogs. The results of two-dimensional site frequency spectrum (2D SFS) support that the mutation is under soft sweep . We inferred that the onset of positive selection of the mutation is shorter than 6,535 years and behind the well-developed dairy economy in central Europe. It increases the expression of LCT by reducing its binding with ZEB1, which would enhance dog’s ability to digest milk-based diets. Our study uncovers the genetic basis of convergent evolution between humans and dogs with respect to diet, emphasizing the import of the dog as a biomedical model for studying mechanisms of the digestive system.

The domestic dog, as a highly successful domestication model, is well known as a favored human companion. Exploring its domestication history should provide great insight into our understanding of the prehistoric development of human culture and productivity. Furthermore, investigation on the mechanisms underpinning the morphological and behavioral traits associated with canid domestication syndrome is of significance not only for scientific study but also for human medical research. Current development of a multidisciplinary canine genome database, which includes enormous omics data, has substantially improved our understanding of the genetic makeup of dogs. Here, we reviewed recent advances associated with the original history and genetic basis underlying environmental adaptations and phenotypic diversities in domestic dogs, which should provide perspectives on improving the communicative relationship between dogs and humans.

We combined conventional evidence from longitudinal data in UK Biobank and genetic evidence from Mendelian randomization (MR) approach to infer the causality between sleep behaviors and fracture risk. We found that participants with insomnia showed 6.4% higher risk of fracture (hazard ratio [HR] = 1.064, 95% CI = 1.038–1.090, P = 7.84 × 10−7), falls and bone mineral density (BMD) mediated 24.6% and 10.6% of the intermediary effect; the MR analyses provided the consistent evidence. A U-shape relationship was observed between sleep duration and fracture risk (P < 0.001) with the lowest risk at sleeping 7–8 h per day. The excessive daytime sleepiness and “evening” chronotype were associated with fracture risk in observational study, but the association between chronotype and fracture did not show in MR analyses. We further generated a sleep risk score (SRS) with potential risk factors (i.e., insomnia, sleep duration, chronotype, and daytime sleepiness). We found that the risk of fracture increased with an increasing SRS (HR = 1.087, 95% CI = 1.065–1.111, P = 1.27 × 10−14). Moreover, 17.4% of the fracture cases would be removed if all participants exhibited a healthy sleep pattern. In conclusion, insomnia had a causal effect on fracture, falls had a larger intermediary effect than BMD in this association. Individuals with fracture risk could benefit from the intervention on unhealthy sleep pattern.Yu Qian, Jiangwei Xia, et al. perform a prospective study of the association between sleep problems and fractures, and generate a predictive sleep risk score. They report that participants with a higher sleep risk score or insomnia exhibited increased risks of fracture, and that falls had a larger intermediary effect than bone mineral density in this association.

Explicitly sharing individual level data in genomics studies has many merits comparing to sharing summary statistics, including more strict QCs, common statistical analyses, relative identification and improved statistical power in GWAS, but it is hampered by privacy or ethical constraints. In this study, we developed encG-reg , a regression approach that can detect relatives of various degrees based on encrypted genomic data, which is immune of ethical constraints. The encryption properties of encG-reg are based on the random matrix theory by masking the original genotypic matrix without sacrificing precision of individual-level genotype data. We established a connection between the dimension of a random matrix, which masked genotype matrices, and the required precision of a study for encrypted genotype data. encG-reg has false positive and false negative rates equivalent to sharing original individual level data, and is computationally efficient when searching relatives. We split the UK Biobank into their respective centers, and then encrypted the genotype data. We observed that the relatives estimated using encG-reg was equivalently accurate with the estimation by KING, which is a widely used software but requires original genotype data. In a more complex application, we launched a finely devised multi-center collaboration across 5 research institutes in China, covering 9 cohorts of 54,092 GWAS samples. encG-reg again identified true relatives existing across the cohorts with even different ethnic backgrounds and genotypic qualities. Our study clearly demonstrates that encrypted genomic data can be used for data sharing without loss of information or data sharing barrier.

Background Obesity and hypertension are major risk factors for cardiovascular diseases that affect millions of people worldwide. Both conditions are associated with chronic low-grade inflammation, which is mediated by adipokines such as adiponectin. Adiponectin is the most abundant adipokine that has a beneficial impact on metabolic and vascular biology, while high serum concentrations are associated with some syndromes. This “adiponectin paradox” still needs to be clarified in obesity-associated hypertension. The aim of this study was to investigate how adiponectin affects blood pressure, inflammation, and metabolic function in obesity hypertension using a Chinese adult case-control study. Methods A case-control study that had finished recruiting 153 subjects divided as four characteristic groups. Adiponectin serum levels were tested by ELISA in these subjects among these four characteristic Chinese adult physical examination groups. Waist circumference (WC), body mass index (BMI), systolic blood pressure (SB), diastolic blood pressure (DB), and other clinical laboratory data were collected. Analyzation of correlations between the research index and differences between groups was done by SPSS. Results Serum adiponectin levels in the| normal healthy group (NH group) were significantly higher than those in the newly diagnosed untreated just-obesity group (JO group), and negatively correlated with the visceral adiposity index. With multiple linear egression analysis, it was found that, for serum adiponectin, gender, serum albumin (ALB), alanine aminotransferase (ALT) and high-density lipoprotein cholesterol (HDLC) were the significant independent correlates, and for SB, age and HDLC were the significant independent correlates, and for DB, alkaline phosphatase (ALP) was the significant independent correlate. The other variables did not reach significance in the model. Conclusions Our study reveals that adiponectin’s role in obesity-hypertension is multifaceted and is influenced by the systemic metabolic homeostasis signaling axis. In obesity-related hypertension, compensatory effects, adiponectin resistance, and reduced adiponectin clearance from impaired kidneys and liver all contribute to the “adiponectin paradox”.

Background Birth weight is considered not only to undermine future growth, but also to induce lifelong diseases; the aim of this study is to explore the relationship between birth weight and adult bone mass. Methods We performed multivariable regression analyses to assess the association of birth weight with bone parameters measured by dual-energy X-ray absorptiometry (DXA) and by quantitative ultrasound (QUS), independently. We also implemented a systemic Mendelian randomization (MR) analysis to explore the causal association between them with both fetal-specific and maternal-specific instrumental variables. Results In the observational analyses, we found that higher birth weight could increase the adult bone area (lumbar spine, β -coefficient= 0.17, P < 2.00 × 10 −16 ; lateral spine, β -coefficient = 0.02, P = 0.04), decrease bone mineral content-adjusted bone area (BMCadjArea) (lumbar spine, β -coefficient= − 0.01, P = 2.27 × 10 −14 ; lateral spine, β -coefficient = − 0.05, P = 0.001), and decrease adult bone mineral density (BMD) (lumbar spine, β -coefficient = − 0.04, P = 0.007; lateral spine; β -coefficient = − 0.03, P = 0.02; heel, β -coefficient = − 0.06, P < 2.00 × 10 −16 ), and we observed that the effect of birth weight on bone size was larger than that on BMC. In MR analyses, the higher fetal-specific genetically determined birth weight was identified to be associated with higher bone area (lumbar spine; β -coefficient = 0.15, P = 1.26 × 10 −6 , total hip, β -coefficient = 0.15, P = 0.005; intertrochanteric area, β -coefficient = 0.13, P = 0.0009; trochanter area, β -coefficient = 0.11, P = 0.03) but lower BMD (lumbar spine, β -coefficient = − 0.10, P = 0.01; lateral spine, β -coefficient = − 0.12, P = 0.0003, and heel β -coefficient = − 0.11, P = 3.33 × 10 −13 ). In addition, we found that the higher maternal-specific genetically determined offspring birth weight was associated with lower offspring adult heel BMD ( β -coefficient = − 0.001, P = 0.04). Conclusions The observational analyses suggested that higher birth weight was associated with the increased adult bone area but decreased BMD. By leveraging the genetic instrumental variables with maternal- and fetal-specific effects on birth weight, the observed relationship could be reflected by both the direct fetal and indirect maternal genetic effects.

Background Polydactyly is one of the most common congenital limb dysplasia in many animal species. Although preaxial polydactyly (PPD) has been comprehensively studied in humans as a common abnormality, the genetic variations in other animal species have not been fully understood. Herein, we focused on the pig, as an even-toed ungulate mammal model with its unique advantages in medical and genetic researches, two PPD families consisting of four affected and 20 normal individuals were sequenced. Results Our results showed that the PPD in the sampled pigs were not related to previously reported variants. A strong association was identified at ABCC4 and it encodes a transmembrane protein involved in ciliogenesis. We found that the affected and normal individuals were highly differentiated at ABCC4 , and all the PPD individuals shared long haplotype stretches as compared with the unaffected individuals. A highly differentiated missense mutation (I85T) in ABCC4 was observed at a residue from a transmembrane domain highly conserved among a variety of organisms. Conclusions This study reports ABCC4 as a new candidate gene and identifies a missense mutation for PPD in pigs. Our results illustrate a putative role of ciliogenesis process in PPD, coinciding with an earlier observation of ciliogenesis abnormality resulting in pseudo-thumb development in pandas. These results expand our knowledge on the genetic variations underlying PPD in animals.