HGG AdvancesPub Date : 2025-04-10Epub Date: 2024-11-02DOI: 10.1016/j.xhgg.2024.100382
Eleanor Karp-Tatham, Callum R O'Neill, Julian C Knight, Alexander J Mentzer, Amanda Y Chong
{"title":"Lack of association between classical HLA genes and asymptomatic SARS-CoV-2 infection.","authors":"Eleanor Karp-Tatham, Callum R O'Neill, Julian C Knight, Alexander J Mentzer, Amanda Y Chong","doi":"10.1016/j.xhgg.2024.100382","DOIUrl":"10.1016/j.xhgg.2024.100382","url":null,"abstract":"","PeriodicalId":34530,"journal":{"name":"HGG Advances","volume":" ","pages":"100382"},"PeriodicalIF":3.3,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11937655/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142568658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
HGG AdvancesPub Date : 2025-04-10Epub Date: 2025-01-11DOI: 10.1016/j.xhgg.2025.100405
Blaine A Bates, Kylee E Bates, Spencer A Boris, Colin Wessman, David Stone, Justin Bryan, Mary F Davis, Matthew H Bailey
{"title":"Intersection of rare pathogenic variants from TCGA in the All of Us Research Program v6.","authors":"Blaine A Bates, Kylee E Bates, Spencer A Boris, Colin Wessman, David Stone, Justin Bryan, Mary F Davis, Matthew H Bailey","doi":"10.1016/j.xhgg.2025.100405","DOIUrl":"10.1016/j.xhgg.2025.100405","url":null,"abstract":"<p><p>Using rare cancer predisposition alleles derived from The Cancer Genome Atlas (TCGA) and high cancer prevalence (14% of participants) in All of Us (version 6), we assessed the impact of these rare alleles on cancer occurrence in six broad groups of genetic similarity provided by All of Us: African/African American (AFR), Admixed American/Latino (AMR), East Asian (EAS), European (EUR), Middle Eastern (MID), or South Asian (SAS). We observed that germline susceptibility to cancer consistently replicates in EUR-like participants but less so in other participants. We found that All of Us participants from the EUR (p = 1.8 × 10<sup>-7</sup>), AFR (p = 0.018), and MID (p = 0.0083) genetic similarity groups who carry a rare pathogenic mutation are more likely to have cancer than those without a rare pathogenic mutation. With the advent of combining medical records and genetic mutations, we also performed a phenome-wide association study (PheWAS) to assess the effect of pathogenic variants on additional phenotypes. This analysis again showed several associations between predisposition variants and cancer in EUR-like participants, but fewer in those of the other genetic similarity groups. As All of Us grows to 1 million participants, our projections suggest sufficient power (>99%) to detect cancer-associated variants that are common, but limited power (∼28%) to detect rare mutations when using the entire cohort. This study provides preliminary insights into genetic predispositions to cancer across a diverse cohort and demonstrates the value of All of Us as a resource for cancer research.</p>","PeriodicalId":34530,"journal":{"name":"HGG Advances","volume":" ","pages":"100405"},"PeriodicalIF":3.3,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11830373/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142971088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
HGG AdvancesPub Date : 2025-04-10Epub Date: 2024-12-16DOI: 10.1016/j.xhgg.2024.100393
Tess Levy, J Lloyd Holder, Joseph P Horrigan, Michael F Snape, Alison McMorn, Christina Layton, Hailey Silver, Kate Friedman, Hannah Grosman, Slayton Underwood, Danielle Halpern, Jessica Zweifach, Paige M Siper, Alexander Kolevzon
{"title":"An open-label study evaluating the safety and efficacy of AMO-01 for the treatment of seizures in Phelan-McDermid syndrome.","authors":"Tess Levy, J Lloyd Holder, Joseph P Horrigan, Michael F Snape, Alison McMorn, Christina Layton, Hailey Silver, Kate Friedman, Hannah Grosman, Slayton Underwood, Danielle Halpern, Jessica Zweifach, Paige M Siper, Alexander Kolevzon","doi":"10.1016/j.xhgg.2024.100393","DOIUrl":"10.1016/j.xhgg.2024.100393","url":null,"abstract":"<p><p>Phelan-McDermid syndrome (PMS) is a neurodevelopmental disorder caused by haploinsufficiency of the SHANK3 gene. Approximately 25% of individuals with PMS have epilepsy. Treatment of epilepsy in PMS may require multiple anticonvulsants, and in a minority of cases, seizures remain poorly controlled. Converging lines of evidence in different experimental models indicate that the Ras-ERK pathway is implicated in the pathophysiology of seizure generation and neurobehavioral symptoms in PMS. The goal of this study was to evaluate the safety, tolerability, and efficacy in treating seizures in adults and adolescents with PMS using AMO-01, a Ras-ERK pathway inhibitor. A single 6-hour intravenous infusion of AMO-01 at 120 mg/m<sup>2</sup> was administered to six participants using an open-label design. Safety was assessed during the infusion and for 4 weeks post-infusion. Caregivers completed seizure diaries and recorded individual seizures during a baseline period and for 4 weeks following the infusion. Exploratory clinical and biomarker assessments were completed throughout the study. AMO-01 was well tolerated, with no serious adverse events (AEs) reported. All AEs were mild or moderate in severity. Seizures were reduced by at least 25% compared to baseline at each follow-up (weeks 1, 2, and 4). Exploratory clinical measures did not change significantly from baseline, but visual evoked potentials (VEPs) and phosphorylated ERK blood levels revealed trending changes in a subset of participants. These results provide preliminary support for the safety of AMO-01 and its efficacy in reducing seizures in adults with PMS. Future placebo-controlled studies with larger sample sizes and repeated dosing are warranted.</p>","PeriodicalId":34530,"journal":{"name":"HGG Advances","volume":" ","pages":"100393"},"PeriodicalIF":3.3,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11772936/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142847746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
HGG AdvancesPub Date : 2025-04-10Epub Date: 2025-02-12DOI: 10.1016/j.xhgg.2025.100416
Jessica Goehringer, Tracey Leitzel, Muki Kunnmann, Alyson E Floyd, Sean O'Dell, Jessica Mozersky, Alanna Kulchak Rahm, Adam H Buchanan
{"title":"Families' experiences of receiving adult- and pediatric-onset genetic results.","authors":"Jessica Goehringer, Tracey Leitzel, Muki Kunnmann, Alyson E Floyd, Sean O'Dell, Jessica Mozersky, Alanna Kulchak Rahm, Adam H Buchanan","doi":"10.1016/j.xhgg.2025.100416","DOIUrl":"10.1016/j.xhgg.2025.100416","url":null,"abstract":"<p><p>There is a scarcity of empirical data on the potential psychosocial and behavioral effects of returning genomic results for adult-onset conditions not medically actionable in pediatric patients. Potential harms include distress, discrimination, loss of future autonomy, or family functioning changes. The Pediatric Reporting of Genomic Results Study (PRoGRESS) explores outcomes of disclosing pediatric- and adult-onset genomic findings to families in an observational trial. Participants include adolescents (ages 11-17) with a genetic variant identified and returned through Geisinger's MyCode Genomic Screening and Counseling Program and their parents. This program involves returning pathogenic and likely pathogenic variants in a list of genes consistent with the American College of Medical Genetics and Genomics secondary findings list. Parents and adolescents with pediatric- and adult-onset results were invited to participate in interviews at 1 and 12 months post results disclosure. Here, we report the results of a qualitative analysis that included data from 25 participants with a known family history of a variant. Families generally had positive or neutral experiences with learning and adjusting to the results, and, on balance, felt it was beneficial to have the result. Previously proposed hypothetical concerns regarding disclosing adult-onset results to children were not reported in this cohort. Our findings provide guidance on supporting families in preparing for and adjusting to genomic results related to adult-onset conditions, particularly in care-delivery systems that are not designed to support families as the information becomes clinically relevant and provide evidence that longitudinal support may benefit families with an adult- or pediatric-onset result.</p>","PeriodicalId":34530,"journal":{"name":"HGG Advances","volume":" ","pages":"100416"},"PeriodicalIF":3.3,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11919580/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143411083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
HGG AdvancesPub Date : 2025-04-10Epub Date: 2024-12-18DOI: 10.1016/j.xhgg.2024.100395
Jiayi Xu, Dongjing Liu, Arsalan Hassan, Giulio Genovese, Alanna C Cote, Brian Fennessy, Esther Cheng, Alexander W Charney, James A Knowles, Muhammad Ayub, Roseann E Peterson, Tim B Bigdeli, Laura M Huckins
{"title":"Evaluation of imputation performance of multiple reference panels in a Pakistani population.","authors":"Jiayi Xu, Dongjing Liu, Arsalan Hassan, Giulio Genovese, Alanna C Cote, Brian Fennessy, Esther Cheng, Alexander W Charney, James A Knowles, Muhammad Ayub, Roseann E Peterson, Tim B Bigdeli, Laura M Huckins","doi":"10.1016/j.xhgg.2024.100395","DOIUrl":"10.1016/j.xhgg.2024.100395","url":null,"abstract":"<p><p>Genotype imputation is crucial for genome-wide association studies (GWASs), but reference panels and existing benchmarking studies prioritize European individuals. Consequently, it is unclear which publicly available reference panel should be used for Pakistani individuals, and whether ancestry composition or sample size of the panel matters more for imputation accuracy. Our study compared different reference panels to impute genotype data in 1,814 Pakistani individuals, finding the best performance balancing accuracy and coverage with meta-imputation with TOPMed and the expanded 1000 Genomes (ex1KG) reference. Imputation accuracy of ex1KG outperformed TOPMed for common variants despite its 30-fold smaller sample size, supporting efforts to create future panels with diverse populations.</p>","PeriodicalId":34530,"journal":{"name":"HGG Advances","volume":" ","pages":"100395"},"PeriodicalIF":3.3,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11759560/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
HGG AdvancesPub Date : 2025-04-10Epub Date: 2025-03-20DOI: 10.1016/j.xhgg.2025.100425
Anne Gregor, Laila Distel, Arif B Ekici, Philipp Kirchner, Steffen Uebe, Mandy Krumbiegel, Soeren Turan, Beate Winner, Christiane Zweier
{"title":"Proteasomal activation ameliorates neuronal phenotypes linked to FBXO11-deficiency.","authors":"Anne Gregor, Laila Distel, Arif B Ekici, Philipp Kirchner, Steffen Uebe, Mandy Krumbiegel, Soeren Turan, Beate Winner, Christiane Zweier","doi":"10.1016/j.xhgg.2025.100425","DOIUrl":"10.1016/j.xhgg.2025.100425","url":null,"abstract":"<p><p>Haploinsufficiency of FBXO11, encoding a ubiquitin ligase complex subunit, is associated with a variable neurodevelopmental disorder. So far, the underlying nervous system-related pathomechanisms are poorly understood, and specific therapies are lacking. Using a combined approach, we established an FBXO11-deficient human stem cell-based neuronal model using CRISPR-Cas9 and a Drosophila model using tissue-specific knockdown techniques. We performed transcriptomic analyses on iPSC-derived neurons and molecular phenotyping in both models. RNA sequencing revealed disrupted transcriptional networks related to processes important for neuronal development, such as differentiation, migration, and cell signaling. Consistently, we found that loss of FBXO11 leads to neuronal phenotypes such as impaired neuronal migration and abnormal proliferation/differentiation balance in human cultured neurons and impaired dendritic development and behavior in Drosophila. Interestingly, application of three different proteasome-activating substances could alleviate FBXO11-deficiency-associated phenotypes in both human neurons and flies. One of these substances is the long-approved drug Verapamil, opening the possibility of drug repurposing in the future. Our study shows the importance of FBXO11 for neurodevelopment and highlights the reversibility of related phenotypes, opening an avenue for potential development of therapeutic approaches through drug repurposing.</p>","PeriodicalId":34530,"journal":{"name":"HGG Advances","volume":" ","pages":"100425"},"PeriodicalIF":3.3,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11999343/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
HGG AdvancesPub Date : 2025-04-10Epub Date: 2025-01-20DOI: 10.1016/j.xhgg.2025.100408
Melanie P Napier, Erin Ryan, Adi Reich, Joshua A Suhl, Diane Masser-Frye, Marilyn Jones, Celese Beaudreau, Nathaniel Robin, Dana Goodloe, Leandra Folk, Michelle M Morrow, Deanna Alexis Carere
{"title":"Missense variants at the p.Arg225 residue in ARHGEF40 identified in individuals with multiple congenital anomalies and developmental delay.","authors":"Melanie P Napier, Erin Ryan, Adi Reich, Joshua A Suhl, Diane Masser-Frye, Marilyn Jones, Celese Beaudreau, Nathaniel Robin, Dana Goodloe, Leandra Folk, Michelle M Morrow, Deanna Alexis Carere","doi":"10.1016/j.xhgg.2025.100408","DOIUrl":"10.1016/j.xhgg.2025.100408","url":null,"abstract":"<p><p>The ARHGEF40 gene, also known as SOLO, encodes a RhoA-targeting guanine nucleotide exchange factor (GEF) and is currently considered a candidate gene with a potential relationship to disease. Our laboratory has confirmed variants at position p.Arg225 of the ARHGEF40 protein in multiple unrelated individuals with a phenotype including dysmorphic features, congenital anomalies and neurodevelopmental abnormalities. Here, we provide genetic and phenotypic information for two individuals harboring de novo variants at p.Arg225 and sharing a highly similar phenotype. This report suggests a relationship between variants at this amino acid position and autosomal dominant disease, and further studies will be needed to characterize this disease-gene relationship and elucidate the disease mechanism.</p>","PeriodicalId":34530,"journal":{"name":"HGG Advances","volume":" ","pages":"100408"},"PeriodicalIF":3.3,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11850187/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143012951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
HGG AdvancesPub Date : 2025-04-10Epub Date: 2024-12-31DOI: 10.1016/j.xhgg.2024.100397
Hanna Abe, Phillip Lin, Dan Zhou, Douglas M Ruderfer, Eric R Gamazon
{"title":"Mapping dynamic regulation of gene expression using single-cell transcriptomics and application to complex disease genetics.","authors":"Hanna Abe, Phillip Lin, Dan Zhou, Douglas M Ruderfer, Eric R Gamazon","doi":"10.1016/j.xhgg.2024.100397","DOIUrl":"10.1016/j.xhgg.2024.100397","url":null,"abstract":"<p><p>Single-cell transcriptome data can provide insights into how genetic variation influences biological processes involved in human physiology and disease. However, the identification of gene-level associations in distinct cell types faces several challenges, including the limited reference resources from population-scale studies, data sparsity in single-cell RNA sequencing, and the complex cell state pattern of expression within individual cell types. Here, we develop genetic models of cell-type-specific and cell-state-adjusted gene expression in mid-brain neurons undergoing differentiation from induced pluripotent stem cells. The resulting framework quantifies the dynamics of the genetic regulation of gene expression and estimates its cell-type specificity. As an application, we show that the approach detects known and new genes associated with schizophrenia and enables insights into context-dependent disease mechanisms. We provide a genomic resource from a phenome-wide application of our models to more than 1,500 phenotypes from the UK Biobank. Using longitudinal, genetically determined expression, we implement a predictive causality framework, evaluating the prediction of future values of a target gene expression using prior values of a putative regulatory gene. Collectively, the results of this work demonstrate the insights that can be gained into the molecular underpinnings of disease by quantifying the genetic control of gene expression at single-cell resolution.</p>","PeriodicalId":34530,"journal":{"name":"HGG Advances","volume":" ","pages":"100397"},"PeriodicalIF":3.3,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11830375/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142915801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
HGG AdvancesPub Date : 2025-04-10Epub Date: 2025-02-12DOI: 10.1016/j.xhgg.2025.100415
Edwin G Peña-Martínez, Jean L Messon-Bird, Jessica M Rodríguez-Ríos, Rosalba Velázquez-Roig, Diego A Pomales-Matos, Alejandro Rivera-Madera, Leandro Sanabria-Alberto, Adriana C Barreiro-Rosario, Juan A Figueroa-Rosado, Jeancarlos Rivera-Del Valle, Nicole E Muñoz-Páez, Esther A Peterson-Peguero, José A Rodríguez-Martínez
{"title":"Cardiovascular disease-associated non-coding variants disrupt GATA4-DNA binding and regulatory functions.","authors":"Edwin G Peña-Martínez, Jean L Messon-Bird, Jessica M Rodríguez-Ríos, Rosalba Velázquez-Roig, Diego A Pomales-Matos, Alejandro Rivera-Madera, Leandro Sanabria-Alberto, Adriana C Barreiro-Rosario, Juan A Figueroa-Rosado, Jeancarlos Rivera-Del Valle, Nicole E Muñoz-Páez, Esther A Peterson-Peguero, José A Rodríguez-Martínez","doi":"10.1016/j.xhgg.2025.100415","DOIUrl":"10.1016/j.xhgg.2025.100415","url":null,"abstract":"<p><p>Genome-wide association studies have identified thousands of cardiovascular disease (CVD)-associated variants, with over 90% of them being mapped within the non-coding genome. Non-coding variants in regulatory regions of the genome, such as promoters, enhancers, silencers, and insulators, can alter the function of tissue-specific transcription factors (TFs) and their gene regulatory function. In this work, we used a computational approach to identify and test CVD-associated single-nucleotide polymorphisms (SNPs) that alter the DNA binding of the human cardiac transcription factor GATA4. Using a gapped k-mer support vector machine (GKM SVM) model, we scored CVD-associated SNPs localized in gene regulatory elements in expression quantitative trait loci (eQTL) detected in cardiac tissue to identify variants altering GATA4-DNA binding. We prioritized four variants that resulted in a total loss of GATA4 binding (rs1506537 and rs56992000) or the creation of new GATA4 binding sites (rs2941506 and rs2301249). The identified variants also resulted in significant changes in transcriptional activity proportional to the altered DNA-binding affinities. In summary, we present a comprehensive analysis comprising in silico, in vitro, and cellular evaluation of CVD-associated SNPs predicted to alter GATA4 function.</p>","PeriodicalId":34530,"journal":{"name":"HGG Advances","volume":" ","pages":"100415"},"PeriodicalIF":3.3,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11930153/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143411081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}