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Background: To investigate the causal link between early-life exposures and long-term health consequences, we established the Tianjin Birth Cohort (TJBC), a large-scale prospective cohort in northern China. Methods: TJBC aims to enroll 10,000 families with follow-ups from pregnancy until children’s six year-old. Pregnant women and their spouses were recruited through a three-tier antenatal healthcare system at early pregnancy, with follow-ups at mid-pregnancy, late pregnancy, delivery, 42 days after delivery, 6 months after delivery, and each year until 6 years old. Antenatal/neonatal examination, biological samples and questionnaires were collected. Results: From August 2017 to January 2019, a total of 3,924 pregnant women have already been enrolled, and 1,697 women have given birth. We observed the prevalence of gestational diabetes mellitus as 18.1%, anemia as 20.4%, and thyroid hypofunction as 2.0%. In singleton live births, 5.6% were preterm birth (PTB), 3.7% were low birth weight, and 7.3% were macrosomia. Based on current data, we also identified maternal/paternal factors which increased the risk of PTB, including paternal age (OR 1.07; 95% CI, 1.01–1.14 for each year increase), vaginal bleeding during pregnancy (OR 2.82; 95% CI, 1.54–5.17) and maternal early-pregnancy BMI (OR 1.08; 95% CI, 1.01–1.15 for each kg/m2 increase). Conclusion: TJBC has the strength of collecting comprehensive maternal, paternal, and childhood information. With a diverse range of biological samples, we are also engaging with emerging new technologies for multi-omics research. The study would provide new insight into the causal link between macro/micro-environmental exposures of early life and short/long-term health consequences.

Precision medicine relies on high-accuracy individual-level genotype data. However, the whole-genome sequencing (WGS) is currently not suitable for studies with very large sample sizes due to budget constraints. It is particularly important to construct highly accurate haplotype reference panel for genotype imputation. In this study, we selected 9,950 individuals from the China Kadoorie Biobank (CKB) cohort and 50 Chinese samples from the 1000 Genome Project (1KGP) for medium-depth WGS to construct a CKB reference panel. The results of imputing microarray datasets showed that the CKB panel outperformed the extended high coverage 1KGP, TOPMed, ChinaMAP, and NuyWa panels in terms of both the number of well-imputed variants and imputation accuracy. In addition, we have completed the imputation of over 100,000 CKB microarray data with the CKB panel, and the after-imputed genotype data is the hitherto largest whole genome data of the Chinese population. Finally, we developed an online server for offering free genotype imputation service based on the CKB reference panel (https://db.cngb.org/imputation/). We believe that the constructed CKB reference panel is of great value for imputing microarray or low-depth genotype data of Chinese population. The imputation-completed 100,000 microarray data are fundamental resources of population genetic studies for complex traits and diseases in the Chinese population.

Background The evolution of parasites is often directly affected by the host's environment. Studies on the evolution of the same parasites in different hosts are extremely attractive and highly relevant to our understanding of divergence and speciation. Methods Here we performed whole genome sequencing of Parascaris univalens from different Equus hosts (horses, zebras and donkeys). Phylogenetic and selection analysis was performed to study the divergence and adaptability of P. univalens. Results At the genetic level, multiple lines of evidence support that P. univalens were mainly separated into two clades (Horse-derived and Zebra & Donkey-derived). This divergence began at 300-1000 years ago, and we found that most of the key enzymes related to glycolysis were under strong positive selection in zebra & donkey-derived roundworms, but lipid related metabolism system was under positive selection in the horse-derived roundworms, indicating that the adaptive evolution of metabolism may drive the divergence in past few centuries. In addition, we found that some drug-related genes have a significantly higher degree of selection in different populations. Conclusions This work reports evidence that the host’s diet drives the divergence of roundworms for the first time, and also supports that divergence is a continuous and dynamic process, and continuous monitoring of the effects of differences in nutritional and drug history on rapid evolution of roundworms are conducive to further understanding host-parasite interactions.

Background The evolution of parasites is often directly affected by the host's environment. Studies on the evolution of the same parasites in different hosts are of great interest and are highly relevant to our understanding of divergence. Methods Here we performed whole-genome sequencing of Parascaris univalens from different Equus hosts (horses, zebras and donkeys). Phylogenetic and selection analyses were performed to study the divergence and adaptability of P. univalens. Results At the genetic level, multiple lines of evidence indicate that P. univalens is mainly separated into two clades (horse-derived and zebra & donkey-derived). This divergence began 300–1000 years ago, and we found that most of the key enzymes related to glycolysis were under strong positive selection in zebra & donkey-derived roundworms, whereas the lipid-related metabolic system was under positive selection in horse-derived roundworms, indicating that the adaptive evolution of metabolism has occurred over the past few centuries. In addition, we found that some drug-related genes showed a significantly higher degree of selection in diverse populations. Conclusions This work reports the adaptive evolution and divergence trend of P. univalens in different hosts for the first time. Its results indicate that the divergence of P. univalens is a continuous, dynamic process. Furthermore, the continuous monitoring of the effects of differences in nutritional and drug histories on the rapid evolution of roundworms is conducive to further understanding host-parasite interactions.

The pathogenesis of COVID-19 is still elusive, which impedes disease progression prediction, differential diagnosis, and targeted therapy. Plasma cell-free RNAs (cfRNAs) carry unique information from human tissue and thus could point to resourceful solutions for pathogenesis and host-pathogen interactions. Here, we performed a comparative analysis of cfRNA profiles between COVID-19 patients and healthy donors using serial plasma. Analyses of the cfRNA landscape, potential gene regulatory mechanisms, dynamic changes in tRNA pools upon infection, and microbial communities were performed. A total of 380 cfRNA molecules were up-regulated in all COVID-19 patients, of which seven could serve as potential biomarkers (AUC > 0.85) with great sensitivity and specificity. Antiviral (NFKB1A,IFITM3, andIFI27) and neutrophil activation (S100A8,CD68, andCD63)–related genes exhibited decreased expression levels during treatment in COVID-19 patients, which is in accordance with the dynamically enhanced inflammatory response in COVID-19 patients. Noncoding RNAs, including some microRNAs (let 7 family) and long noncoding RNAs (GJA9-MYCBP) targeting interleukin (IL6/IL6R), were differentially expressed between COVID-19 patients and healthy donors, which accounts for the potential core mechanism of cytokine storm syndromes; the tRNA pools change significantly between the COVID-19 and healthy group, leading to the accumulation of SARS-CoV-2 biased codons, which facilitate SARS-CoV-2 replication. Finally, several pneumonia-related microorganisms were detected in the plasma of COVID-19 patients, raising the possibility of simultaneously monitoring immune response regulation and microbial communities using cfRNA analysis. This study fills the knowledge gap in the plasma cfRNA landscape of COVID-19 patients and offers insight into the potential mechanisms of cfRNAs to explain COVID-19 pathogenesis.

The evolution of parasites is often directly affected by the host's environment or behavior. Studies on the evolution of the same parasites in different hosts are extremely attractive and highly relevant to our understanding of divergence and speciation. Here we presented the first molecular evidence of divergence of Equus roundworms in different hosts (horses, zebras and donkeys). At the genetic level, Equus roundworms were mainly separated into two clades (Horse-derived and Zebra & Donkey-derived). This divergence began at 600–1500 years ago, which interestingly coincided with the domestication history of horses. We found that most of the key enzymes related to glycolysis were under strong positive selection in zebra & donkey-derived roundworms, indicating that the evolution of the metabolic level was one of the main reasons for the divergence. In addition, we conducted a selective scan of resistance-related genes and found that the three populations were under different degrees of selection. This prompted us to pay attention to the possible impact of drugs on divergence, not just the drug resistance. This work supports that divergence or speciation is a continuous and dynamic process, and continuous monitoring of environmental factors is conducive to further understanding the adaptive evolution of roundworms.

Background: The aim of this study is to investigate potentially curable or treatable medical conditions in unselected newborns using genomic sequencing(GS). Methods: 321 newborns from a cohort of pregnant women from Qingdao, China, underwent high-depth GS (average 47.42 fold), with the approval of the ethics committee. 61 Mendelian Diseases, 151 Primary Immunodeficiency Diseases(PID) and 5 DPWG recommeded Essential pharmacogenetic(PGx) genes were analyzed. Results: 121 Mendelian pathogenic or likely pathogenic variants associated with 31 inherited diseases were detected, among these hearing loss, congenital hypothyroidism, methylmalonic acidemia, methylmalonic acidemia with homocystinuria, phenylketonuria(PKU) and benign hyperphenylalaninemia accounted for half of the carrier variants. Three children with compound heterozygous variants at GJB2 and PAH were confirmed by Sanger sequencing. Follow-up of the three families confirmed that one child was diagnosed with PKU and two children with GJB2 variants were scheduled to undergo hearing loss testing every six months after genetic counceling due to the nature of incomplete penetrance of hearing loss. 11 heterozygous pathogenic/ likely pathogenic variants in eight PID genes were identified in 11 infants. All 321 newborns carried at least one variant at the five DPGW recommended PGx genes. Codeine and clopidogrel require more attention in giving prescription for 25% and 8% of newborns have a decreased function of CYP2D6 and CYP2C19 enzymes respectively. Conclusions: Our study is the largest to date using GS to sequence unselected newborns. The results suggest that using GS may be a suitable method for screening newborns for variants in a large number of disease associated genes.

Major depressive disorder (MDD), one of the most frequently encountered forms of mental illness and a leading cause of disability worldwide, poses a major challenge to genetic analysis. To date, no robustly replicated genetic loci have been identified, despite analysis of more than 9,000 cases. Here, using low-coverage whole-genome sequencing of 5,303 Chinese women with recurrent MDD selected to reduce phenotypic heterogeneity, and 5,337 controls screened to exclude MDD, we identified, and subsequently replicated in an independent sample, two loci contributing to risk of MDD on chromosome 10: one near the SIRT1 gene (P = 2.53 × 10(-10)), the other in an intron of the LHPP gene (P = 6.45 × 10(-12)). Analysis of 4,509 cases with a severe subtype of MDD, melancholia, yielded an increased genetic signal at the SIRT1 locus. We attribute our success to the recruitment of relatively homogeneous cases with severe illness.