Publications by authors named "Hailiang Huang"

Genetic mutations that yield defective cystic fibrosis transmembrane regulator () protein cause cystic fibrosis, a life-limiting autosomal recessive Mendelian disorder. A protective role of loss-of-function mutations in inflammatory bowel disease (IBD) has been suggested, but its evidence has been inconclusive and contradictory. Here, leveraging the largest IBD exome sequencing dataset to date, comprising 38,558 cases and 66,945 controls in the discovery stage, and 35,797 cases and 179,942 controls in the replication stage, we established a protective role of CF-risk variants against IBD based on evidence from the association test of delF508 (p-value=8.

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Purpose: Contrast-enhanced digital breast tomosynthesis (CEDBT) highlights breast tumors with neo-angiogenesis. A recently proposed CEDBT system with a dual-layer (DL) flat-panel detector enables simultaneous acquisition of high-energy (HE) and low-energy (LE) projection images with a single exposure, which reduces acquisition time and eliminates motion artifacts. However, x-ray scatter degrades image quality and lesion detectability.

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Schizophrenia (SCZ) is a severe mental disorder affecting around 1% of individuals worldwide. The variability in response to antipsychotic drugs (APDs) among SCZ patients presents a significant challenge for clinicians in determining the most effective medication. In this study, we investigated the biological markers and established a predictive model for APD response based on a large-scale genome-wide association study using 3269 Chinese schizophrenia patients.

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Background: In China banxia xiexin decoction (BXD) has been used in treating gastric cancer (GC) for thousands of years and BXD has a good role in reversing GC histopathology, but its chemical composition and action mechanism are still unknown.

Aim: To investigate the mechanism of action of BXD against GC based on transcriptomics, network pharmacology, and experiments.

Methods: The transplanted tumor model was prepared, and the nude mouse were pathologically examined after administration, and hematoxylin-eosin staining was performed.

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The ill-posed Positron emission tomography (PET) reconstruction problem usually results in limited resolution and significant noise. Recently, deep neural networks have been incorporated into PET iterative reconstruction framework to improve the image quality. In this paper, we propose a new neural network-based iterative reconstruction method by using weighted nuclear norm (WNN) maximization, which aims to recover the image details in the reconstruction process.

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Article Synopsis
  • Research highlights the genetic factors linked to schizophrenia (SCZ) through brain expression quantitative trait loci (eQTLs), primarily focusing on European populations, which limits insights into diverse populations.
  • A comparative analysis across African Americans, Europeans, and East Asians revealed distinct eQTL patterns, with over 343,000 eQTLs unique to non-European groups, largely driven by differences in allele frequency.
  • This study suggests that increasing diversity in genetic ancestry, rather than just sample size, can enhance understanding of SCZ's genetic basis and aid in identifying risk genes associated with the disorder.
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  • Individuals with schizophrenia (SCZ) show altered sleep patterns, particularly in NREM sleep, with group-level differences seen in EEG metrics like spindles and slow oscillations compared to controls.
  • A study involving 103 SCZ patients and 68 controls confirmed these differences and revealed significant variability in sleep metrics among SCZ patients, suggesting individual differences beyond clinical factors are present.
  • The research indicated that medication regimens, especially olanzapine, significantly contribute to this variability and highlighted exaggerated age-related effects on certain sleep metrics in SCZ patients, raising concerns about biological aging and potential medication side effects.
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  • A study focused on identifying genetic variants linked to schizophrenia specifically in the Korean population, as previous large-scale studies mainly involved individuals of European ancestry.
  • Researchers recruited 1,670 schizophrenia patients and 2,271 healthy controls, testing over 6.6 million SNPs, and discovered a significant new variant (rs2423464) associated with the condition.
  • The polygenic risk scores (PRS) derived from a combination of East Asian and European GWASs were more effective in explaining the genetic variance in schizophrenia among Koreans than those from single-ancestry studies.
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We deployed the Blended Genome Exome (BGE), a DNA library blending approach that generates low pass whole genome (1-4× mean depth) and deep whole exome (30-40× mean depth) data in a single sequencing run. This technology is cost-effective, empowers most genomic discoveries possible with deep whole genome sequencing, and provides an unbiased method to capture the diversity of common SNP variation across the globe. To evaluate this new technology at scale, we applied BGE to sequence >53,000 samples from the Populations Underrepresented in Mental Illness Associations Studies (PUMAS) Project, which included participants across African, African American, and Latin American populations.

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While respiratory diseases such as COPD and asthma share many risk factors, most studies investigate them in insolation and in predominantly European ancestry populations. Here, we conducted the most powerful multi-trait and -ancestry genetic analysis of respiratory diseases and auxiliary traits to date. Our approach improves the power of genetic discovery across traits and ancestries, identifying 44 novel loci associated with lung function in individuals of East Asian ancestry.

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The poor operational stability of perovskite light-emitting diodes (PeLEDs) remains a major obstacle to their commercial application. Achieving high brightness and quantum efficiency at low driving voltages, thus effectively reducing heat accumulation, is key to enhancing the operational lifetime of PeLEDs. Here, we present a breakthrough, attaining a record-low driving voltage while maintaining high brightness and efficiency.

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Purpose: A network meta-analysis was utilized to compare the rehabilitative effectiveness of different exercise interventions on motor function in cerebral palsy(CP) patients.

Methods: Computer searches were conducted across 9 databases, including PubMed, Cochrane Library, Scopus, Web of Science, Embase, and others, to identify randomized controlled trials focusing on different exercise interventions aimed at enhancing motor function in CP patients. The search spanned from the inception of the databases to January 31, 2024.

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Genome-wide association studies (GWAS) of human complex traits or diseases often implicate genetic loci that span hundreds or thousands of genetic variants, many of which have similar statistical significance. While statistical fine-mapping in individuals of European ancestry has made important discoveries, cross-population fine-mapping has the potential to improve power and resolution by capitalizing on the genomic diversity across ancestries. Here we present SuSiEx, an accurate and computationally efficient method for cross-population fine-mapping.

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Purpose: Accurate detection of microcalcifications ( ) is crucial for the early detection of breast cancer. Some clinical studies have indicated that digital breast tomosynthesis (DBT) systems with a wide angular range have inferior detectability compared with those with a narrow angular range. This study aims to (1) provide guidance for optimizing wide-angle (WA) DBT for improving detectability and (2) prioritize key optimization factors.

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Polygenic risk scores (PRSs) are promising tools for advancing precision medicine. However, existing PRS construction methods rely on static summary statistics derived from genome-wide association studies (GWASs), which are often updated at lengthy intervals. As genetic data and health outcomes are continuously being generated at an ever-increasing pace, the current PRS training and deployment paradigm is suboptimal in maximizing the prediction accuracy of PRSs for incoming patients in healthcare settings.

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Background: Response to antipsychotic drugs (APD) varies greatly among individuals and is affected by genetic factors. This study aims to demonstrate genome-wide associations between copy number variants (CNVs) and response to APD in patients with schizophrenia.

Methods: A total of 3030 patients of Han Chinese ethnicity randomly received APD (aripiprazole, olanzapine, quetiapine, risperidone, ziprasidone, haloperidol and perphenazine) treatment for six weeks.

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Article Synopsis
  • Objective markers are crucial for developing treatments for mental disorders like schizophrenia, helping to distinguish between patients and track disease progress objectively.
  • Previous studies on neurophysiological differences in schizophrenia, primarily conducted in Europe and America, have limitations such as small sample sizes and lack of diversity, making their findings less applicable to broader populations.
  • The Global Research Initiative on the Neurophysiology of Schizophrenia (GRINS) aims to fill these gaps with a large study focusing on East Asian populations, collecting comprehensive data through various research sessions to improve the understanding of neurophysiological markers across psychiatric conditions.
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Objective: The aim of the study is to compare the rehabilitative efficacy of different physiotherapy scoliosis-specific exercises for adolescent idiopathic scoliosis using a network meta-analysis.

Design: PubMed, Cochrane Library, Web of Science, Embase, VIP Database for Chinese Technical Periodicals, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and Wan Fang Data were searched until October 2023. Meta-analysis and network meta-analysis were conducted using RevMan 5.

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Genome-wide association studies across diverse populations may help validate and confirm genetic contributions to risk of disease. We estimated the extent of population stratification as well as the predictive accuracy of polygenic scores (PGS) derived from European samples to a data set from India. We analysed 2685 samples from two data sets, a population neurodevelopmental study (cVEDA) and a hospital-based sample of bipolar affective disorder (BD) and obsessive-compulsive disorder (OCD).

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Genomic scientists have long been promised cheaper DNA sequencing, but deep whole genomes are still costly, especially when considered for large cohorts in population-level studies. More affordable options include microarrays + imputation, whole exome sequencing (WES), or low-pass whole genome sequencing (WGS) + imputation. WES + array + imputation has recently been shown to yield 99% of association signals detected by WGS.

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  • PTSD genetics have been difficult to study compared to other psychiatric disorders, limiting our biological understanding of the condition.
  • A large-scale meta-analysis involving over 1.2 million individuals identified 95 genome-wide significant loci, with 80 being new discoveries related to PTSD.
  • Researchers identified 43 potential causal genes linked to neurotransmitter activity, developmental processes, synaptic function, and immune regulation, enhancing our knowledge of the neurobiological systems involved in PTSD.
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Gastric cancer (GC) is a widespread malignancy. Banxia Xiexin decoction (BXD) has been used for GC treatment, but the specific mechanisms underlying its therapeutic effects remain controversial. This study used a comprehensive approach to network pharmacology combined with experimental validation to elucidate the mechanism of BXD's anti-GC effects.

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Nearly two hundred common-variant depression risk loci have been identified by genome-wide association studies (GWAS). However, the impact of rare coding variants on depression remains poorly understood. Here, we present whole-exome sequencing analyses of depression with seven different definitions based on survey, questionnaire, and electronic health records in 320,356 UK Biobank participants.

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Article Synopsis
  • Research on brain expression quantitative trait loci (eQTLs) has primarily focused on European populations, leaving gaps in understanding genetic risks for schizophrenia in diverse populations.
  • A study analyzing data from African Americans, Europeans, and East Asians discovered that many eQTLs linked to schizophrenia risk are unique to non-European populations, highlighting significant differences due to allele frequency.
  • The research identified new risk genes and regulatory variants that were overlooked in European studies, suggesting that increasing genetic diversity in research samples is crucial for better understanding schizophrenia's biological mechanisms and identifying additional risk factors.
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