ERVcancer: a web resource designed for querying activation of human endogenous retroviruses across major cancer types.

Human endogenous retroviruses (HERVs) comprise approximately 8% of the human genome, co-opted into the dynamic regulatory network of cellular potency in early embryonic development. In recent studies, resurgent HERVs' transcriptional activity has been frequently observed in many types of human cancers, suggesting their potential functions in the occurrence and progression of malignancy. However, a dedicated web resource for querying the relationship between activation of HERVs and cancer development is lacking. Here, we have constructed a database to explore the sequence information, expression profiles, survival prognosis, and genetic interactions of HERVs in diverse cancer types. Our database currently contains RNA sequencing data of 580 HERVs across 16246 samples, including that of 6478 tumoral and 634 normal tissues, 932 cancer cell lines, as well as 151 early embryonic and 8051 human adult tissues. The primary goal is to provide an easily accessible and user-friendly database for professionals in the fields of bioinformatics, pathology, pharmacology, and related areas, enabling them to efficiently screen the activity of HERVs of interest in normal and cancerous tissues and evaluate the clinical relevance. The ERVcancer database is available at http://kyuanlab.com/ervcancer/.

A comprehensive analysis of the health effects associated with smoking in the largest population using UK Biobank genotypic and phenotypic data.

Background: Smoking is a widespread behavior, while the relationship between smoking and various diseases remains a topic of debate. Objective: We conducted analysis to further examine the identified associations and assess potential causal relationships. Methods: We utilized seven single nucleotide polymorphisms (SNPs) known to be linked to smoking extracting genotype data from the UK Biobank, a large-scale biomedical repository encompassing comprehensive health-related and genetic information of European descent. Phenome-wide association study (PheWAS) analysis was conducted to map the association of genetically predicted smoking status with 1,549 phenotypes. The associations identified in the PheWAS were then meticulously examined through two-sample Mendelian randomization (MR) analysis, utilizing data from the UK Biobank (n = 487,365) and the Sequencing Consortium of Alcohol and Nicotine Use (GSCAN) (n = 337,334). This approach allowed us to comprehensively characterize the links between smoking and disease patterns. Results: The PheWAS analysis produced 34 phenotypes that demonstrated significant associations with smoking (P = 0.05/1460). Importantly, sickle cell anemia and type 2 diabetes exhibited the most significant SNPs (both 85.71% significant SNPs). Furthermore, the MR analyses provided compelling evidence supporting causal associations between smoking and the risk of following diseases: obstructive chronic bronchitis (IVW: Beta = 0.48, 95% confidence interval (CI) 0.36-0.61, P = 1.62×10-13), cancer of the bronchus (IVW: Beta = 0.92, 95% CI 0.68-1.17, P = 2.02×10-13), peripheral vascular disease (IVW: Beta = 1.09, 95% CI 0.71-1.46, P = 1.63×10-8), emphysema (IVW: Beta = 1.63, 95% CI 0.90-2.36, P = 1.29×10-5), pneumococcal pneumonia (IVW: Beta = 0.30, 95% CI 0.11-0.49, P = 1.60×10-3), chronic airway obstruction (IVW: Beta = 0.83, 95% CI 0.30-1.36, P = 2.00×10-3) and type 2 diabetes (IVW: Beta = 0.53, 95% CI 0.16-0.90, P = 5.08×10-3). Conclusion: This study affirms causal relationships between smoking and obstructive chronic bronchitis, cancer of the bronchus, peripheral vascular disease, emphysema, pneumococcal pneumonia, chronic airway obstruction, type 2 diabetes, in the European population. These findings highlight the broad health impacts of smoking and support smoking cessation efforts.

Risk factors associated with age at onset of Parkinson's disease in the UK Biobank.

Substantial evidence shown that the age at onset (AAO) of Parkinson's disease (PD) is a major determinant of clinical heterogeneity. However, the mechanisms underlying heterogeneity in the AAO remain unclear. To investigate the risk factors with the AAO of PD, a total of 3156 patients with PD from the UK Biobank were included in this study. We evaluated the effects of polygenic risk scores (PRS), nongenetic risk factors, and their interaction on the AAO using Mann-Whitney U tests and regression analyses. We further identified the genes interacting with nongenetic risk factors for the AAO using genome-wide environment interaction studies. We newly found physical activity (P < 0.0001) was positively associated with AAO and excessive daytime sleepiness (P < 0.0001) was negatively associated with AAO, and reproduced the positive associations of smoking and non-steroidal anti-inflammatory drug intake and the negative association of family history with AAO. In the dose-dependent analyses, smoking duration (P = 1.95 × 10-6), coffee consumption (P = 0.0150), and tea consumption (P = 0.0008) were positively associated with AAO. Individuals with higher PRS had younger AAO (P = 3.91 × 10-5). In addition, we observed a significant interaction between the PRS and smoking for AAO (P = 0.0316). Specifically, several genes, including ANGPT1 (P = 7.17 × 10-7) and PLEKHA6 (P = 4.87 × 10-6), may influence the positive relationship between smoking and AAO. Our data suggests that genetic and nongenetic risk factors are associated with the AAO of PD and that there is an interaction between the two.

GGC expansions in NOTCH2NLC contribute to Parkinson disease and dopaminergic neuron degeneration.

BACKGROUND AND PURPOSE: The role of GGC repeat expansions within NOTCH2NLC in Parkinson's disease (PD) and the substantia nigra (SN) dopaminergic neuron remains unclear. Here, we profile the NOTCH2NLC GGC repeat expansions in a large cohort of patients with PD. We also investigate the role of GGC repeat expansions within NOTCH2NLC in the dopaminergic neurodegeneration of SN. METHODS: A total of 2,522 patients diagnosed with PD and 1,085 health controls were analyzed for the repeat expansions of NOTCH2NLC by repeat-primed PCR and GC-rich PCR assay. Furthermore, the effects of GGC repeat expansions in NOTCH2NLC on dopaminergic neurons were investigated by using recombinant adeno-associated virus (AAV)-mediated overexpression of NOTCH2NLC with 98 GGC repeats in the SN of mice by stereotactic injection. RESULTS: Four PD pedigrees (4/333, 1.2%) and three sporadic PD patients (3/2189, 0.14%) were identified with pathogenic GGC repeat expansions (larger than 60 GGC repeats) in the NOTCH2NLC gene, while eight PD patients and one healthy control were identified with intermediate GGC repeat expansions ranging from 41 to 60 repeats. No significant difference was observed in the distribution of intermediate NOTCH2NLC GGC repeat expansions between PD cases and controls (Fisher's exact test p-value = 0.29). Skin biopsy showed P62-positive intranuclear NOTCH2NLC-polyGlycine (polyG) inclusions in the skin nerve fibers of patient. Expanded GGC repeats in NOTCH2NLC produced widespread intranuclear and perinuclear polyG inclusions, which led to a severe loss of dopaminergic neurons in the SN. Consistently, polyG inclusions were presented in the SN of EIIa-NOTCH2NLC-(GGC)98 transgenic mice and also led to dopaminergic neuron loss in the SN. CONCLUSIONS: Overall, our findings provide strong evidence that GGC repeat expansions within NOTCH2NLC contribute to the pathogenesis of PD and cause degeneration of nigral dopaminergic neurons.

Age at Natural Menopause, Reproductive Lifespan, and the Risk of Late-Onset Psoriasis and Psoriatic Arthritis in Women: A Prospective Cohort Study.

Although a peak incidence of psoriasis in women aged around 60 years has been observed, the link between reproductive lifespan and late-onset psoriatic diseases is underexplored. This study aims to elucidate the association between reproductive lifespan and the risk of late-onset psoriasis and psoriatic arthritis (PsA). Utilizing the UK Biobank data, we conducted a prospective cohort study in postmenopausal women without baseline psoriatic diseases. The exposure variables included age at natural menopause (ANM) and duration from menarche to menopause, termed reproductive years. The outcome variables were incident psoriasis and PsA. We employed Cox regression analysis, factoring in polygenic risk scores for psoriatic diseases and recognized risk factors. We found that later ANM and longer reproductive years were significantly associated with decreased risks of late-onset psoriasis and PsA in a dose-dependent manner (P<.05). ANM after age 55 years led to a 34 and 46% risk reduction in late-onset psoriasis and PsA, respectively, compared with ANM before age 45 years (P<.001). The population-attributable risks of ANM were 17.4% for late-onset psoriasis and 21.6% for PsA. In conclusion, reproductive lifespan, with its inherent homeostasis, plays a pivotal yet overlooked role in late-onset psoriatic diseases. Investigations into estrogen-centric causes and sex-specific interventions are imperative.

Mendelian randomization analyses of smoking and Alzheimer's disease in Chinese and Japanese populations.

Background: Previous epidemiological studies have reported controversial results on the relationship between smoking and Alzheimer's disease (AD). Therefore, we sought to assess the association using Mendelian randomization (MR) analysis. Methods: We used single nucleotide polymorphisms (SNPs) associated with smoking quantity (cigarettes per day, CPD) from genome-wide association studies (GWAS) of Japanese population as instrumental variables, then we performed two-sample MR analysis to investigate the association between smoking and AD in a Chinese cohort (1,000 AD cases and 500 controls) and a Japanese cohort (3,962 AD cases and 4,074 controls), respectively. Results: Genetically higher smoking quantity showed no statistical causal association with AD risk (the inverse variance weighted (IVW) estimate in the Chinese cohort: odds ratio (OR) = 0.510, 95% confidence interval (CI) = 0.149-1.744, p = 0.284; IVW estimate in the Japanese cohort: OR = 1.170, 95% confidence interval CI = 0.790-1.734, p = 0.434). Conclusion: This MR study, for the first time in Chinese and Japanese populations, found no significant association between smoking and AD.

Loss-of-Function of p21-Activated Kinase 2 Links BMP Signaling to Neural Tube Patterning Defects.

Closure of the neural tube represents a highly complex and coordinated process, the failure of which constitutes common birth defects. The serine/threonine kinase p21-activated kinase 2 (PAK2) is a critical regulator of cytoskeleton dynamics; however, its role in the neurulation and pathogenesis of neural tube defects (NTDs) remains unclear. Here, the results show that Pak2-/- mouse embryos fail to develop dorsolateral hinge points (DLHPs) and exhibit craniorachischisis, a severe phenotype of NTDs. Pak2 knockout activates BMP signaling that involves in vertebrate bone formation. Single-cell transcriptomes reveal abnormal differentiation trajectories and transcriptional events in Pak2-/- mouse embryos during neural tube development. Two nonsynonymous and one recurrent splice-site mutations in the PAK2 gene are identified in five human NTD fetuses, which exhibit attenuated PAK2 expression and upregulated BMP signaling in the brain. Mechanistically, PAK2 regulates Smad9 phosphorylation to inhibit BMP signaling and ultimately induce DLHP formation. Depletion of pak2a in zebrafish induces defects in the neural tube, which are partially rescued by the overexpression of wild-type, but not mutant PAK2. The findings demonstrate the conserved role of PAK2 in neurulation in multiple vertebrate species, highlighting the molecular pathogenesis of PAK2 mutations in NTDs.

Association between healthy lifestyle and the occurrence of cardiometabolic multimorbidity in hypertensive patients: a prospective cohort study of UK Biobank.

BACKGROUND: Cardiometabolic multimorbidity (CMM) is becoming increasingly common in patients with hypertension, and it is well established that healthy lifestyle plays a key role in the prevention of hypertension. However, the association between combined lifestyle factors and CMM in patients with hypertension is uncertain. METHODS: This prospective analysis included the data (obtained from the UK biobank) of participants with hypertension who did not have coronary heart disease (CHD), stroke, or diabetes. The outcome was the occurrence of CMM, defined as ≥ 1 disease of CHD, stroke, and diabetes that occurred in participants with hypertension. Four lifestyle factors (smoking, alcohol consumption, diet, and physical activity) were assessed using a weighted healthy lifestyle score, and participants were divided into four groups: the very unhealthy, unhealthy, healthy, and very healthy groups. The flexible parameter Royston-Parmar proportional hazard model was used to estimate hazard ratios (HRs) between lifestyles and CMM, as well as the difference in CMM-free life expectancy. RESULTS: During a median follow-up of 12.2 years, 9812 (18.4%) of the 53,397 hypertensive patients occurred CMM. Compared with the very unhealthy group, the very healthy group had a 41% reduction in the risk for CMM in hypertensive patients and a 32-50% reduction in the risk for specific cardiometabolic diseases such as CHD, stroke, and diabetes. For each lifestyle factor, non-smoking had the greatest protective effect against CMM (HR: 0.64, 95% confidence interval (CI) 0.60-0.68). A lifestyle combining multiple healthy factors extended CMM-free life expectancy (e.g., six years longer at age 45 years for participants in the very healthy group). CONCLUSIONS: Combined healthy lifestyle factors were associated with a lower risk for CMM in hypertensive patients. This suggests that combined healthy lifestyle should be supported to decrease disease burden.

CYLD variants identified in Alzheimer's disease and frontotemporal dementia patients.

OBJECTIVES: CYLD was a novel causative gene for frontotemporal dementia (FTD) and amyotrophic lateral sclerosis. Given the clinical and pathological overlap of FTD and Alzheimer's disease (AD), it is necessary to screen CYLD in AD patients and FTD patients in the Chinese population. METHODS: In our study, using a targeted sequencing panel, we sequenced the CYLD gene in a large cohort of 2485 participants in the Chinese population, including 1008 AD patients, 105 FTD patients, and 1372 controls. RESULTS: In the present study, the average onset age of AD and FTD patients was 66.84 ± 30.42 years old and 60 ± 10.00 years old, respectively. Our study reported three novel CYLD variants: p.Phe288Leu (patient No. 1, AD), p.Tyr485Phe (patients No. 6-9, all AD) and p.Thr951Ala (patient No. 10, AD), plus a previously reported variant: p.Arg397Ser (patient No. 2-5, AD and No. 11, FTD). These variants were absent in our in-house controls and predicted to be deleterious according to the MutationTaster. The variant carriers were composed of 10 AD patients and one FTD patient, and the average onset age was 61.2 ± 10.9 years. The frequency of CYLD variants in AD was similar to that in FTD, which was 0.99% (10/1008) and 0.95% (1/105), respectively. INTERPRETATION: Our finding extended the genotype and phenotype of the CYLD gene and demonstrated that CYLD rare damaging variants may be implicated in AD and FTD pathogenesis.

SLIT2 Rare Sequencing Variants Identified in Idiopathic Hypogonadotropic Hypogonadism.

INTRODUCTION: Idiopathic hypogonadotropic hypogonadism (IHH) is a rare reproductive disorder resulting from gonadotropin-releasing hormone (GnRH) deficiency. However, in only approximately half of patients with IHH is it possible to identify a likely molecular diagnosis. Mice lacking Slit2 have a reduced number or altered patterning of GnRH neurons in the brain. In order to assess the contribution of SLIT2 to IHH, we carried out a candidate gene burden test analysis. METHODS: A total of 196 IHH probands and 2,362 ethic-matched controls were recruited for this study. The IHH probands and controls were subjected to whole-exome sequencing. In the IHH patients with SLIT2 variants and their available family members, detailed phenotyping and segregation analysis were performed. RESULTS: Nine heterozygous SLIT2 rare sequencing variants (RSVs) were identified in 13 probands, with a prevalence of 6.6%. Furthermore, we identified an increased mutational burden for SLIT2 in this cohort (odds ratio = 2.2, p = 0.021). The segregation analysis of available IHH families revealed that the majority of SLIT2 RSVs were inherited from unaffected or partially affected parents. CONCLUSION: Our study suggests SLIT2 as a new IHH-associated gene and expands the clinical and genetic spectrum of IHH. Furthermore, SLIT2 alone does not appear to be sufficient to cause the disorder, and it may interact with other IHH-associated genes to induce a clinical phenotype.

Association of Healthy Lifestyle and Life Expectancy in Patients With Cardiometabolic Multimorbidity: A Prospective Cohort Study of UK Biobank.

Background: The prevalence of cardiometabolic multimorbidity (CMM), which significantly increases the risk of mortality, is increasing globally. However, the role of healthy lifestyle in the secondary prevention of CMM is unclear. Methods: In total, 290,795 participants with CMM, which was defined as coexistence of at least two of hypertension (HTN), diabetes mellitus (DM), coronary heart disease (CHD), and stroke (ST), and those without these four diseases at baseline were derived from UK Biobank. The associations between specific CMM patterns and mortality, and that between healthy lifestyle (including physical activity, smoking, alcohol consumption, and vegetable and fruit consumption) and mortality in patients with specific CMM patterns were calculated using the flexible parametric Royston-Parmar proportion-hazard model. Hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) were calculated. Results: During a median 12.3-year follow up period, 15,537 (5.3%) deaths occurred. Compared with participants without cardiometabolic diseases, the HRs for all-cause mortality were 1.54 [95% confidence interval (CI): 1.30, 1.82] in participants with HTN + DM, 1.84 (95% CI: 1.59, 2.12) in those with HTN + CHD, 1.89 (95% CI: 1.46, 2.45) in those with HTN + ST, and 2.89 (95% CI: 2.28, 3.67) in those with HTN + DM + CHD. At the age of 45 years, non-current smoking was associated with an increase in life expectancy by 3.72, 6.95, 6.75, and 4.86 years for participants with HTN + DM, HTN + CHD, HTN + ST, and HTN + DM + CHD, respectively. A corresponding increase by 2.03, 1.95, 2.99, and 1.88 years, respectively, was observed in participants with regular physical activity. Non-/moderate alcohol consumption and adequate fruit/vegetable consumption were not significantly associated with life expectancy in patients with specific CMM patterns. Conclusion: Cardiometabolic multimorbidity was associated with an increased risk of mortality. Regular physical activity and non-current smoking can increase life expectancy in patients with specific CMM patterns.

Associations of baseline use of fish oil with progression of cardiometabolic multimorbidity and mortality among patients with hypertension: a prospective study of UK Biobank.

PURPOSE: The role of fish oil in the prognosis of hypertensive patients is unknown. This study investigated the associations of fish oil supplementation with the progression of cardiometabolic multimorbidity (CMM) and mortality among patients with hypertension. METHODS: Based on UK Biobank, we enrolled participants with hypertension and free of other cardiometabolic diseases. The exposure was baseline use of fish oil derived from questionnaires at baseline. The primary outcomes were the incidence of CMM and all-cause mortality. Competing risk models and flexible parametric proportion-hazards models were fitted to assess the adjusted hazard ratios (HRs) for the risk of CMM and mortality outcomes, respectively. RESULTS: Among 81,579 participants involved [50.37%, men; mean age, 59.38 years (standard deviation, 7.23 years)], 15,990 CMM events and 6456 all-cause deaths were reported (median follow-up, 12.23 years). In multivariable-adjusted models, baseline use of fish oil was associated with 8% lower risk of CMM [95% confidence interval (95% CI) 0.89-0.96, P < 0.001] and 10% lower risk of all-cause mortality (95% CI 0.85-0.95, P < 0.001). CONCLUSION: In individuals with hypertension, baseline use of fish oil was associated with a reduced risk of CMM and all-cause mortality, and further clinical trials are needed to prove this hypothesis.

The association between LIN28A gene rare variants and Parkinson's disease in Chinese population.

Parkinson's disease (PD) is a neurodegenerative disease caused by aging, environmental and genetic factors, and many susceptibility genes have been found to increase the risk for PD. Lin28a, an RNA binding protein, is expressed prominently in neural progenitor cells. The expression of Lin28a is decreased gradually with neural differentiation and is implicated in oncogenesis, glucose metabolism, neurogenesis, and neurogliogenesis. However, few genetic studies have explored the association between rare variants of the LIN28A gene and PD yet. Our study recruited 3,879 PD patients and 2,931 controls, and they were divided into two cohorts, including the EOPD & FPD cohort and the LOPD cohort, separately sequenced by whole-exome sequencing and whole-genome sequencing. We found nine rare nonsynonymous variants in the coding region of the LIN28A gene, but the rare variants of this gene were not enriched in PD patients in both cohorts. Thence, our study did not support the association between the LIN28A gene and the PD risk in the Chinese mainland population.

Performance comparison of computational methods for the prediction of the function and pathogenicity of non-coding variants.

Non-coding variants in the human genome significantly influence human traits and complex diseases via their regulation and modification effects. Hence, an increasing number of computational methods are developed to predict the effects of variants in human non-coding sequences. However, it is difficult for inexperienced users to select appropriate computational methods from dozens of available methods. To solve this issue, we assessed 12 performance metrics of 24 methods on four independent non-coding variant benchmark datasets: (1) rare germline variants from clinical relevant sequence variants (ClinVar), (2) rare somatic variants from catalogue of somatic mutations in cancer (COSMIC), (3) common regulatory variants from curated expression quantitative trait loci (eQTL) data, and (4) disease-associated common variants from curated genome-wide association studies (GWAS). All 24 tested methods performed differently under various conditions, indicating varying strengths and weaknesses under different scenarios. Importantly, the performance of existing methods was acceptable for rare germline variants from ClinVar with the area under the curve (AUC) of 0.4481-0.8033 and poor for rare somatic variants from COSMIC (AUC: 0.4984-0.7131), common regulatory variants from curated eQTL data (AUC: 0.4837-0.6472), and disease-associated common variants from curated GWAS (AUC: 0.4766-0.5188). We also compared the prediction performance of 24 methods for non-coding de novo mutations in autism spectrum disorder and found that the combined annotation-dependent depletion (CADD) and context-dependent tolerance score (CDTS) methods showed better performance. Summarily, we assessed the performance of 24 computational methods under diverse scenarios, providing preliminary advice for proper tool selection, guiding the development of new techniques in interpreting non-coding variants.

The Roles of RNA Helicases in DNA Damage Repair and Tumorigenesis Reveal Precision Therapeutic Strategies.

DEAD-box RNA helicases belong to a large group of RNA-processing factors and play vital roles unwinding RNA helices and in ribosomal RNA biogenesis. Emerging evidence indicates that RNA helicases are associated with genome stability, yet the mechanisms behind this association remain poorly understood. In this study, we performed a comprehensive analysis of RNA helicases using multiplatform proteogenomic databases. More than 50% (28/49) of detected RNA helicases were highly expressed in multiple tumor tissues, and more than 60% (17/28) of tumor-associated members were directly involved in DNA damage repair (DDR). Analysis of repair dynamics revealed that these RNA helicases are engaged in an extensively broad range of DDR pathways. Among these factors is DDX21, which was prominently upregulated in colorectal cancer. The high expression of DDX21 gave rise to frequent chromosome exchange and increased genome fragmentation. Mechanistically, aberrantly high expression of DDX21 triggered inappropriate repair processes by delaying homologous recombination repair and increasing replication stress, leading to genome instability and tumorigenesis. Treatment with distinct chemotherapeutic drugs caused higher lethality to cancer cells with genome fragility induced by DDX21, providing a perspective for treatment of tumors with high DDX21 expression. This study revealed the role of RNA helicases in DNA damage and their associations with cancer, which could expand therapeutic strategies and improve precision treatments for cancer patients with high expression of RNA helicases. SIGNIFICANCE: The involvement of the majority of tumor-associated RNA helicases in the DNA damage repair process suggests a new mechanism of tumorigenesis and offers potential alternative therapeutic strategies for cancer.

Targeted sequencing and integrative analysis of 3,195 Chinese patients with neurodevelopmental disorders prioritized 26 novel candidate genes.

Neurodevelopmental disorders (NDDs) are a set of complex disorders characterized by diverse and co-occurring clinical symptoms. The genetic contribution in patients with NDDs remains largely unknown. Here, we sequence 519 NDD-related genes in 3,195 Chinese probands with neurodevelopmental phenotypes and identify 2,522 putative functional mutations consisting of 137 de novo mutations (DNMs) in 86 genes and 2,385 rare inherited mutations (RIMs) with 22 X-linked hemizygotes in 13 genes, 2 homozygous mutations in 2 genes and 23 compound heterozygous mutations in 10 genes. Furthermore, the DNMs of 16,807 probands with NDDs are retrieved from public datasets and combine in an integrated analysis with the mutation data of our Chinese NDD probands by taking 3,582 in-house controls of Chinese origin as background. We prioritize 26 novel candidate genes. Notably, six of these genes - ITSN1, UBR3, CADM1, RYR3, FLNA, and PLXNA3 - preferably contribute to autism spectrum disorders (ASDs), as demonstrated by high co-expression and/or interaction with ASD genes confirmed via rescue experiments in a mouse model. Importantly, these genes are differentially expressed in the ASD cortex in a significant manner and involved in ASD-associated networks. Together, our study expands the genetic spectrum of Chinese NDDs, further facilitating both basic and translational research.

Assessment of the association between NUS1 variants and essential tremor.

BACKGROUND: A recent study on early onset Parkinson's disease (PD) revealed that NUS1 is a risk gene for PD. Clinically, essential tremor (ET) is closely related to PD. In this study, we aimed to detect NUS1 variants and assess the effect of those variants on patients with ET. METHODS: The 5 coding regions and the exon-intron boundaries of NUS1 were directly sequenced in 395 patients with ET and an equal number of healthy controls, matched for age and sex. The function of variants was assessed by pathogenic predictive software programs. Genetic analysis of variants was used to evaluate susceptibility to ET. RESULTS: A total of 6 exonic variants were identified, including 3 synonymous and 3 missense variants. The non-synonymous variants were predicted to be tolerable. No variants had significant association with ET (none of the p-values were less than 0.05, using Fisher's exact test). CONCLUSION: Our study suggested that NUS1 variants may not contribute to the risk of ET.

AsCRISPR: A Web Server for Allele-Specific Single Guide RNA Design in Precision Medicine.

Allele-specific genomic targeting by CRISPR is a versatile strategy that has been increasingly exploited not only in treating inherited dominant diseases and mutation-driven cancers, but also in other important fields such as genome imprinting, haploinsufficiency, and genome loci imaging. Despite its tremendous utilities, few bioinformatic tools have been implemented for the allele-specific purpose of CRISPR. We thus developed AsCRISPR (Allele-specific CRISPR), a comprehensive web tool to aid the design of short-guide RNA (sgRNA) sequences that can discriminate between alleles. AsCRISPR allows users to analyze both their own identified variants and heterozygous single nucleotide polymorphisms and, importantly, output the candidate sgRNAs and their quality control information. To facilitate targeting dominant diseases, AsCRISPR analyzed dominant single nucleotide variants (SNVs) retrieved from ClinVar and OMIM databases, and generated a dominant database of candidate-discriminating sgRNAs that may specifically target the alternative allele for each dominant SNV site. Moreover, a validated database was established, which manually curated the discriminating sgRNAs that were experimentally validated in the mounting literature for multiple allele-specific purposes.

De novo mutation of cancer-related genes associates with particular neurodevelopmental disorders.

Epidemiological studies have shown an increased prevalence of cancer in some patients with neurodevelopmental disorder (NDD); however, the genetic mechanisms regarding how cancer-related genes (CRGs) contribute to NDD remain unclear. We performed bioinformatic analyses on 219 CRGs from OMIM and de novo mutations (DNMs) from 16,498 patients with different NDDs and 3391 controls. Our results showed that autism spectrum disorder, undiagnosed neurodevelopmental disorder, congenital heart disease and intellectual disability, but not epileptic encephalopathy and schizophrenia, harboured significantly more putative functional DNMs in CRGs, compared with controls, providing genetic evidence supporting previous epidemiological surveys. We further detected 26 CRGs with recurrent putative functional DNMs that showed high expression in the human brain during the prenatal stage and in non-brain organs in adults. The proteins coded by the 26 CRGs and known NDD candidate genes formed a functional network that is involved in brain development and tumorigenesis. Overall, we proposed 39 cancer-targeting drugs that could be investigated for treating patients with NDD, which would be potentially cost-effective. In conclusion, DNMs contribute to specific NDDs and there may be a shared genetic basis between NDDs and cancer, highlighting the importance of considering cancer-targeting drugs with potential curative effects in patients with NDDs. KEY MESSAGES: • The contribution of DNMs in NDD is consistent with epidemiological surveys. • We highlighted 26 CRGs, including nine genes with more than five functional DNMs. • Specific expression patterns underlie the genetic mechanism of CRGs in NDD. • Specific functional networks underlie the genetic mechanism of CRGs in NDD. • The shared genetic aetiology suggests potential mutual treatment strategies.

Performance evaluation of pathogenicity-computation methods for missense variants.

With expanding applications of next-generation sequencing in medical genetics, increasing computational methods are being developed to predict the pathogenicity of missense variants. Selecting optimal methods can accelerate the identification of candidate genes. However, the performances of different computational methods under various conditions have not been completely evaluated. Here, we compared 12 performance measures of 23 methods based on three independent benchmark datasets: (i) clinical variants from the ClinVar database related to genetic diseases, (ii) somatic variants from the IARC TP53 and ICGC databases related to human cancers and (iii) experimentally evaluated PPARG variants. Some methods showed different performances under different conditions, suggesting that they were not always applicable for different conditions. Furthermore, the specificities were lower than the sensitivities for most methods (especially, for the experimentally evaluated benchmark datasets), suggesting that more rigorous cutoff values are necessary to distinguish pathogenic variants. Furthermore, REVEL, VEST3 and the combination of both methods (i.e. ReVe) showed the best overall performances with all the benchmark data. Finally, we evaluated the performances of these methods with de novo mutations, finding that ReVe consistently showed the best performance. We have summarized the performances of different methods under various conditions, providing tentative guidance for optimal tool selection.