Pub Date : 2024-04-22DOI: 10.1186/s40246-024-00610-y
Mahamadou D. Camara, Yitian Zhou, Taís Nóbrega De Sousa, José P. Gil, Abdoulaye A. Djimde, Volker M. Lauschke
CYP2C8 is responsible for the metabolism of 5% of clinically prescribed drugs, including antimalarials, anti-cancer and anti-inflammatory drugs. Genetic variability is an important factor that influences CYP2C8 activity and modulates the pharmacokinetics, efficacy and safety of its substrates. We profiled the genetic landscape of CYP2C8 variability using data from 96 original studies and data repositories that included a total of 33,185 unrelated participants across 44 countries and 43 ethnic groups. The reduced function allele CYP2C8*2 was most common in West and Central Africa with frequencies of 16–36.9%, whereas it was rare in Europe and Asia (< 2%). In contrast, CYP2C8*3 and CYP2C8*4 were common throughout Europe and the Americas (6.9–19.8% for *3 and 2.3–7.5% for *4), but rare in African and East Asian populations. Importantly, we observe pronounced differences (> 2.3-fold) between neighboring countries and even between geographically overlapping populations. Overall, we found that 20–60% of individuals in Africa and Europe carry at least one CYP2C8 allele associated with reduced metabolism and increased adverse event risk of the anti-malarial amodiaquine. Furthermore, up to 60% of individuals of West African ancestry harbored variants that reduced the clearance of pioglitazone, repaglinide, paclitaxel and ibuprofen. In contrast, reduced function alleles are only found in < 2% of East Asian and 8.3–12.8% of South and West Asian individuals. Combined, the presented analyses mapped the genetic and inferred functional variability of CYP2C8 with high ethnogeographic resolution. These results can serve as a valuable resource for CYP2C8 allele frequencies and distribution estimates of CYP2C8 phenotypes that could help identify populations at risk upon treatment with CYP2C8 substrates. The high variability between ethnic groups incentivizes high-resolution pharmacogenetic profiling to guide precision medicine and maximize its socioeconomic benefits, particularly for understudied populations with distinct genetic profiles.
{"title":"Meta-analysis of the global distribution of clinically relevant CYP2C8 alleles and their inferred functional consequences","authors":"Mahamadou D. Camara, Yitian Zhou, Taís Nóbrega De Sousa, José P. Gil, Abdoulaye A. Djimde, Volker M. Lauschke","doi":"10.1186/s40246-024-00610-y","DOIUrl":"https://doi.org/10.1186/s40246-024-00610-y","url":null,"abstract":"CYP2C8 is responsible for the metabolism of 5% of clinically prescribed drugs, including antimalarials, anti-cancer and anti-inflammatory drugs. Genetic variability is an important factor that influences CYP2C8 activity and modulates the pharmacokinetics, efficacy and safety of its substrates. We profiled the genetic landscape of CYP2C8 variability using data from 96 original studies and data repositories that included a total of 33,185 unrelated participants across 44 countries and 43 ethnic groups. The reduced function allele CYP2C8*2 was most common in West and Central Africa with frequencies of 16–36.9%, whereas it was rare in Europe and Asia (< 2%). In contrast, CYP2C8*3 and CYP2C8*4 were common throughout Europe and the Americas (6.9–19.8% for *3 and 2.3–7.5% for *4), but rare in African and East Asian populations. Importantly, we observe pronounced differences (> 2.3-fold) between neighboring countries and even between geographically overlapping populations. Overall, we found that 20–60% of individuals in Africa and Europe carry at least one CYP2C8 allele associated with reduced metabolism and increased adverse event risk of the anti-malarial amodiaquine. Furthermore, up to 60% of individuals of West African ancestry harbored variants that reduced the clearance of pioglitazone, repaglinide, paclitaxel and ibuprofen. In contrast, reduced function alleles are only found in < 2% of East Asian and 8.3–12.8% of South and West Asian individuals. Combined, the presented analyses mapped the genetic and inferred functional variability of CYP2C8 with high ethnogeographic resolution. These results can serve as a valuable resource for CYP2C8 allele frequencies and distribution estimates of CYP2C8 phenotypes that could help identify populations at risk upon treatment with CYP2C8 substrates. The high variability between ethnic groups incentivizes high-resolution pharmacogenetic profiling to guide precision medicine and maximize its socioeconomic benefits, particularly for understudied populations with distinct genetic profiles.","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140635544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Age-related cataract and hearing difficulties are major sensory disorders that often co-exist in the global-wide elderly and have a tangible influence on the quality of life. However, the epidemiologic association between cataract and hearing difficulties remains unexplored, while little is known about whether the two share their genetic etiology. We first investigated the clinical association between cataract and hearing difficulties using the UK Biobank covering 502,543 individuals. Both unmatched analysis (adjusted for confounders) and a matched analysis (one control matched for each patient with cataract according to confounding factors) were undertaken and confirmed that cataract was associated with hearing difficulties (OR, 2.12; 95% CI, 1.98–2.27; OR, 2.03; 95% CI, 1.86–2.23, respectively). Furthermore, we explored and quantified the shared genetic architecture of these two complex sensory disorders at the common variant level using the bivariate causal mixture model (MiXeR) and conditional/conjunctional false discovery rate method based on the largest available genome-wide association studies of cataract (N = 585,243) and hearing difficulties (N = 323,978). Despite detecting only a negligible genetic correlation, we observe polygenic overlap between cataract and hearing difficulties and identify 6 shared loci with mixed directions of effects. Follow-up analysis of the shared loci implicates candidate genes QKI, STK17A, TYR, NSF, and TCF4 likely contribute to the pathophysiology of cataracts and hearing difficulties. In conclusion, this study demonstrates the presence of epidemiologic association between cataract and hearing difficulties and provides new insights into the shared genetic architecture of these two disorders at the common variant level.
{"title":"Epidemiologic association and shared genetic architecture between cataract and hearing difficulties among middle-aged and older adults","authors":"Xiayin Zhang, Shan Wang, Shunming Liu, Zijing Du, Guanrong Wu, Yingying Liang, Yu Huang, Xianwen Shang, Yijun Hu, Zhuoting Zhu, Wei Sun, Xueli Zhang, Honghua Yu","doi":"10.1186/s40246-024-00601-z","DOIUrl":"https://doi.org/10.1186/s40246-024-00601-z","url":null,"abstract":"Age-related cataract and hearing difficulties are major sensory disorders that often co-exist in the global-wide elderly and have a tangible influence on the quality of life. However, the epidemiologic association between cataract and hearing difficulties remains unexplored, while little is known about whether the two share their genetic etiology. We first investigated the clinical association between cataract and hearing difficulties using the UK Biobank covering 502,543 individuals. Both unmatched analysis (adjusted for confounders) and a matched analysis (one control matched for each patient with cataract according to confounding factors) were undertaken and confirmed that cataract was associated with hearing difficulties (OR, 2.12; 95% CI, 1.98–2.27; OR, 2.03; 95% CI, 1.86–2.23, respectively). Furthermore, we explored and quantified the shared genetic architecture of these two complex sensory disorders at the common variant level using the bivariate causal mixture model (MiXeR) and conditional/conjunctional false discovery rate method based on the largest available genome-wide association studies of cataract (N = 585,243) and hearing difficulties (N = 323,978). Despite detecting only a negligible genetic correlation, we observe polygenic overlap between cataract and hearing difficulties and identify 6 shared loci with mixed directions of effects. Follow-up analysis of the shared loci implicates candidate genes QKI, STK17A, TYR, NSF, and TCF4 likely contribute to the pathophysiology of cataracts and hearing difficulties. In conclusion, this study demonstrates the presence of epidemiologic association between cataract and hearing difficulties and provides new insights into the shared genetic architecture of these two disorders at the common variant level.","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140612911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-16DOI: 10.1186/s40246-024-00608-6
Baofeng Li, Meng Li, Xiao Qi, Ti Tong, Guangxin zhang
The causal associations of circulating lipids with Barrett’s Esophagus (BE) and Esophageal Cancer (EC) has been a topic of debate. This study sought to elucidate the causality between circulating lipids and the risk of BE and EC. We conducted two-sample Mendelian randomization (MR) analyses using single nucleotide polymorphisms (SNPs) of circulating lipids (n = 94,595 − 431,167 individuals), BE (218,792 individuals), and EC (190,190 individuals) obtained from the publicly available IEU OpenGWAS database. The robustness and reliability of the results were ensured by employing inverse-variance weighted (IVW), weighted median, MR-Egger, and MR-PRESSO methods. The presence of horizontal pleiotropy, heterogeneities, and stability of instrumental variables were assessed through MR-Egger intercept test, Cochran’s Q test, and leave-one-out sensitivity analysis. Additionally, bidirectional MR and multivariable MR (MVMR) were performed to explore reverse causality and adjust for known confounders, respectively. None of the testing methods revealed statistically significant horizontal pleiotropy, directional pleiotropy, or heterogeneity. Univariate MR analyses using IVW indicated a robust causal relationship between increased triglycerides and BE (odds ratio [OR] = 1.79, p-value = 0.009), while no significant association with EC was observed. Inverse MR analysis indicated no evidence of reverse causality in the aforementioned outcomes. In MVMR analyses, elevated triglycerides (TRG) were significantly and positively associated with BE risk (OR = 1.79, p-value = 0.041). This MR study suggested that genetically increased triglycerides were closely related to an elevated risk of BE, potentially serving as a biomarker for the diagnosis of BE in the future.
循环血脂与巴雷特食管（BE）和食管癌（EC）的因果关系一直是一个争论不休的话题。本研究旨在阐明循环血脂与巴雷特食管癌和食管癌风险之间的因果关系。我们使用从公开的 IEU OpenGWAS 数据库中获得的循环血脂（n = 94,595 - 431,167 人）、BE（218,792 人）和 EC（190,190 人）的单核苷酸多态性（SNPs）进行了双样本孟德尔随机化（MR）分析。采用反方差加权法（IVW）、加权中值法、MR-Egger 法和 MR-PRESSO 法确保了结果的稳健性和可靠性。通过MR-Egger截距检验、Cochran's Q检验和leave-one-out敏感性分析，评估了工具变量的水平多向性、异质性和稳定性。此外，还进行了双向磁共振和多变量磁共振（MVMR），以分别探索反向因果关系和调整已知混杂因素。所有测试方法均未发现具有统计学意义的水平多效性、方向多效性或异质性。使用 IVW 进行的单变量 MR 分析表明，甘油三酯增加与 BE 之间存在稳健的因果关系（几率比 [OR] = 1.79，P 值 = 0.009），而与 EC 之间则无明显关联。反向 MR 分析表明，没有证据表明上述结果存在反向因果关系。在 MVMR 分析中，甘油三酯（TRG）升高与 BE 风险显著正相关（OR = 1.79，p 值 = 0.041）。这项磁共振研究表明，遗传性甘油三酯升高与 BE 风险升高密切相关，将来有可能成为诊断 BE 的生物标志物。
{"title":"The causal associations of circulating lipids with Barrett’s Esophagus and Esophageal Cancer: a bi-directional, two sample mendelian randomization analysis","authors":"Baofeng Li, Meng Li, Xiao Qi, Ti Tong, Guangxin zhang","doi":"10.1186/s40246-024-00608-6","DOIUrl":"https://doi.org/10.1186/s40246-024-00608-6","url":null,"abstract":"The causal associations of circulating lipids with Barrett’s Esophagus (BE) and Esophageal Cancer (EC) has been a topic of debate. This study sought to elucidate the causality between circulating lipids and the risk of BE and EC. We conducted two-sample Mendelian randomization (MR) analyses using single nucleotide polymorphisms (SNPs) of circulating lipids (n = 94,595 − 431,167 individuals), BE (218,792 individuals), and EC (190,190 individuals) obtained from the publicly available IEU OpenGWAS database. The robustness and reliability of the results were ensured by employing inverse-variance weighted (IVW), weighted median, MR-Egger, and MR-PRESSO methods. The presence of horizontal pleiotropy, heterogeneities, and stability of instrumental variables were assessed through MR-Egger intercept test, Cochran’s Q test, and leave-one-out sensitivity analysis. Additionally, bidirectional MR and multivariable MR (MVMR) were performed to explore reverse causality and adjust for known confounders, respectively. None of the testing methods revealed statistically significant horizontal pleiotropy, directional pleiotropy, or heterogeneity. Univariate MR analyses using IVW indicated a robust causal relationship between increased triglycerides and BE (odds ratio [OR] = 1.79, p-value = 0.009), while no significant association with EC was observed. Inverse MR analysis indicated no evidence of reverse causality in the aforementioned outcomes. In MVMR analyses, elevated triglycerides (TRG) were significantly and positively associated with BE risk (OR = 1.79, p-value = 0.041). This MR study suggested that genetically increased triglycerides were closely related to an elevated risk of BE, potentially serving as a biomarker for the diagnosis of BE in the future.","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140575143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-16DOI: 10.1186/s40246-024-00603-x
Minh Ho, Huynh-Nga Nguyen, Minh Van Hoang, Tien Thuy Thi Bui, Bao-Quoc Vu, Truc Huong Thi Dinh, Hoa Thi My Vo, Diana C. Blaydon, Sherif A. Eldirany, Christopher G. Bunick, Chi-Bao Bui
Congenital ichthyosis (CI) is a collective group of rare hereditary skin disorders. Patients present with epidermal scaling, fissuring, chronic inflammation, and increased susceptibility to infections. Recently, there is increased interest in the skin microbiome; therefore, we hypothesized that CI patients likely exhibit an abnormal profile of epidermal microbes because of their various underlying skin barrier defects. Among recruited individuals of Southeast Asian ethnicity, we performed skin meta-genomics (i.e., whole-exome sequencing to capture the entire multi-kingdom profile, including fungi, protists, archaea, bacteria, and viruses), comparing 36 CI patients (representing seven subtypes) with that of 15 CI age-and gender-matched controls who had no family history of CI. This case–control study revealed 20 novel and 31 recurrent pathogenic variants. Microbiome meta-analysis showed distinct microbial populations, decreases in commensal microbiota, and higher colonization by pathogenic species associated with CI; these were correlated with increased production of inflammatory cytokines and Th17- and JAK/STAT-signaling pathways in peripheral blood mononuclear cells. In the wounds of CI patients, we identified specific changes in microbiota and alterations in inflammatory pathways, which are likely responsible for impaired wound healing. Together, this research enhances our understanding of the microbiological, immunological, and molecular properties of CI and should provide critical information for improving therapeutic management of CI patients.
先天性鱼鳞病（CI）是一组罕见的遗传性皮肤病。患者表现为表皮脱屑、裂开、慢性炎症和更易感染。近来，人们对皮肤微生物组的兴趣日益浓厚；因此，我们推测，CI 患者很可能因为各种潜在的皮肤屏障缺陷而表现出表皮微生物异常。在招募的东南亚人种中，我们进行了皮肤元基因组学研究（即全外显子组测序，以捕捉包括真菌、原生生物、古生菌、细菌和病毒在内的整个多基因组图谱），将 36 名 CI 患者（代表 7 个亚型）与 15 名无 CI 家族史的年龄和性别匹配的对照者进行了比较。这项病例对照研究发现了 20 种新型致病变异和 31 种复发性致病变异。微生物组元分析表明，与 CI 相关的微生物种群不同、共生微生物群减少、病原体定植率升高；这些与外周血单核细胞中炎症细胞因子和 Th17- 及 JAK/STAT 信号通路的产生增加有关。在 CI 患者的伤口中，我们发现了微生物群的特定变化和炎症通路的改变，这可能是导致伤口愈合受损的原因。总之，这项研究加深了我们对 CI 微生物、免疫学和分子特性的了解，并为改善 CI 患者的治疗管理提供了重要信息。
{"title":"Altered skin microbiome, inflammation, and JAK/STAT signaling in Southeast Asian ichthyosis patients","authors":"Minh Ho, Huynh-Nga Nguyen, Minh Van Hoang, Tien Thuy Thi Bui, Bao-Quoc Vu, Truc Huong Thi Dinh, Hoa Thi My Vo, Diana C. Blaydon, Sherif A. Eldirany, Christopher G. Bunick, Chi-Bao Bui","doi":"10.1186/s40246-024-00603-x","DOIUrl":"https://doi.org/10.1186/s40246-024-00603-x","url":null,"abstract":"Congenital ichthyosis (CI) is a collective group of rare hereditary skin disorders. Patients present with epidermal scaling, fissuring, chronic inflammation, and increased susceptibility to infections. Recently, there is increased interest in the skin microbiome; therefore, we hypothesized that CI patients likely exhibit an abnormal profile of epidermal microbes because of their various underlying skin barrier defects. Among recruited individuals of Southeast Asian ethnicity, we performed skin meta-genomics (i.e., whole-exome sequencing to capture the entire multi-kingdom profile, including fungi, protists, archaea, bacteria, and viruses), comparing 36 CI patients (representing seven subtypes) with that of 15 CI age-and gender-matched controls who had no family history of CI. This case–control study revealed 20 novel and 31 recurrent pathogenic variants. Microbiome meta-analysis showed distinct microbial populations, decreases in commensal microbiota, and higher colonization by pathogenic species associated with CI; these were correlated with increased production of inflammatory cytokines and Th17- and JAK/STAT-signaling pathways in peripheral blood mononuclear cells. In the wounds of CI patients, we identified specific changes in microbiota and alterations in inflammatory pathways, which are likely responsible for impaired wound healing. Together, this research enhances our understanding of the microbiological, immunological, and molecular properties of CI and should provide critical information for improving therapeutic management of CI patients.","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140612875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-16DOI: 10.1186/s40246-024-00605-9
Matsvei Tsishyn, Gabriel Cia, Pauline Hermans, Jean Kwasigroch, Marianne Rooman, Fabrizio Pucci
Systematically predicting the effects of mutations on protein fitness is essential for the understanding of genetic diseases. Indeed, predictions complement experimental efforts in analyzing how variants lead to dysfunctional proteins that in turn can cause diseases. Here we present our new fitness predictor, FiTMuSiC, which leverages structural, evolutionary and coevolutionary information. We show that FiTMuSiC predicts fitness with high accuracy despite the simplicity of its underlying model: it was among the top predictors on the hydroxymethylbilane synthase (HMBS) target of the sixth round of the Critical Assessment of Genome Interpretation challenge (CAGI6) and performs as well as much more complex deep learning models such as AlphaMissense. To further demonstrate FiTMuSiC’s robustness, we compared its predictions with in vitro activity data on HMBS, variant fitness data on human glucokinase (GCK), and variant deleteriousness data on HMBS and GCK. These analyses further confirm FiTMuSiC’s qualities and accuracy, which compare favorably with those of other predictors. Additionally, FiTMuSiC returns two scores that separately describe the functional and structural effects of the variant, thus providing mechanistic insight into why the variant leads to fitness loss or gain. We also provide an easy-to-use webserver at https://babylone.ulb.ac.be/FiTMuSiC , which is freely available for academic use and does not require any bioinformatics expertise, which simplifies the accessibility of our tool for the entire scientific community.
{"title":"FiTMuSiC: leveraging structural and (co)evolutionary data for protein fitness prediction","authors":"Matsvei Tsishyn, Gabriel Cia, Pauline Hermans, Jean Kwasigroch, Marianne Rooman, Fabrizio Pucci","doi":"10.1186/s40246-024-00605-9","DOIUrl":"https://doi.org/10.1186/s40246-024-00605-9","url":null,"abstract":"Systematically predicting the effects of mutations on protein fitness is essential for the understanding of genetic diseases. Indeed, predictions complement experimental efforts in analyzing how variants lead to dysfunctional proteins that in turn can cause diseases. Here we present our new fitness predictor, FiTMuSiC, which leverages structural, evolutionary and coevolutionary information. We show that FiTMuSiC predicts fitness with high accuracy despite the simplicity of its underlying model: it was among the top predictors on the hydroxymethylbilane synthase (HMBS) target of the sixth round of the Critical Assessment of Genome Interpretation challenge (CAGI6) and performs as well as much more complex deep learning models such as AlphaMissense. To further demonstrate FiTMuSiC’s robustness, we compared its predictions with in vitro activity data on HMBS, variant fitness data on human glucokinase (GCK), and variant deleteriousness data on HMBS and GCK. These analyses further confirm FiTMuSiC’s qualities and accuracy, which compare favorably with those of other predictors. Additionally, FiTMuSiC returns two scores that separately describe the functional and structural effects of the variant, thus providing mechanistic insight into why the variant leads to fitness loss or gain. We also provide an easy-to-use webserver at https://babylone.ulb.ac.be/FiTMuSiC , which is freely available for academic use and does not require any bioinformatics expertise, which simplifies the accessibility of our tool for the entire scientific community.","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140575094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-03DOI: 10.1186/s40246-024-00598-5
Nejat Mahdieh, Morteza Heidari, Zahra Rezaei, Ali Reza Tavasoli, Sareh Hosseinpour, Maryam Rasulinejad, Ali Zare Dehnavi, Masoud Ghahvechi Akbari, Reza Shervin Badv, Elahe Vafaei, Ali Mohebbi, Pouria Mohammadi, Seyyed Mohammad Mahdi Hosseiny, Reza Azizimalamiri, Ali Nikkhah, Elham Pourbakhtyaran, Mohammad Rohani, Narges Khanbanha, Sedigheh Nikbakht, Mojtaba Movahedinia, Parviz Karimi, Homa Ghabeli, Seyed Ahmad Hosseini, Fatemeh Sadat Rashidi, Masoud Garshasbi, Morteza Rezvani Kashani, Noor M. Ghiasvand, Stephan Zuchner, Matthis Synofzik, Mahmoud Reza Ashrafi
To investigate the genetics of early-onset progressive cerebellar ataxia in Iran, we conducted a study at the Children’s Medical Center (CMC), the primary referral center for pediatric disorders in the country, over a three-year period from 2019 to 2022. In this report, we provide the initial findings from the national registry. We selected all early-onset patients with an autosomal recessive mode of inheritance to assess their phenotype, paraclinical tests, and genotypes. The clinical data encompassed clinical features, the Scale for the Assessment and Rating of Ataxia (SARA) scores, Magnetic Resonance Imaging (MRI) results, Electrodiagnostic exams (EDX), and biomarker features. Our genetic investigations included single-gene testing, Whole Exome Sequencing (WES), and Whole Genome Sequencing (WGS). Our study enrolled 162 patients from various geographic regions of our country. Among our subpopulations, we identified known and novel pathogenic variants in 42 genes in 97 families. The overall genetic diagnostic rate was 59.9%. Notably, we observed PLA2G6, ATM, SACS, and SCA variants in 19, 14, 12, and 10 families, respectively. Remarkably, more than 59% of the cases were attributed to pathogenic variants in these genes. Iran, being at the crossroad of the Middle East, exhibits a highly diverse genetic etiology for autosomal recessive hereditary ataxia. In light of this heterogeneity, the development of preventive strategies and targeted molecular therapeutics becomes crucial. A national guideline for the diagnosis and management of patients with these conditions could significantly aid in advancing healthcare approaches and improving patient outcomes.
{"title":"The genetic basis of early-onset hereditary ataxia in Iran: results of a national registry of a heterogeneous population","authors":"Nejat Mahdieh, Morteza Heidari, Zahra Rezaei, Ali Reza Tavasoli, Sareh Hosseinpour, Maryam Rasulinejad, Ali Zare Dehnavi, Masoud Ghahvechi Akbari, Reza Shervin Badv, Elahe Vafaei, Ali Mohebbi, Pouria Mohammadi, Seyyed Mohammad Mahdi Hosseiny, Reza Azizimalamiri, Ali Nikkhah, Elham Pourbakhtyaran, Mohammad Rohani, Narges Khanbanha, Sedigheh Nikbakht, Mojtaba Movahedinia, Parviz Karimi, Homa Ghabeli, Seyed Ahmad Hosseini, Fatemeh Sadat Rashidi, Masoud Garshasbi, Morteza Rezvani Kashani, Noor M. Ghiasvand, Stephan Zuchner, Matthis Synofzik, Mahmoud Reza Ashrafi","doi":"10.1186/s40246-024-00598-5","DOIUrl":"https://doi.org/10.1186/s40246-024-00598-5","url":null,"abstract":"To investigate the genetics of early-onset progressive cerebellar ataxia in Iran, we conducted a study at the Children’s Medical Center (CMC), the primary referral center for pediatric disorders in the country, over a three-year period from 2019 to 2022. In this report, we provide the initial findings from the national registry. We selected all early-onset patients with an autosomal recessive mode of inheritance to assess their phenotype, paraclinical tests, and genotypes. The clinical data encompassed clinical features, the Scale for the Assessment and Rating of Ataxia (SARA) scores, Magnetic Resonance Imaging (MRI) results, Electrodiagnostic exams (EDX), and biomarker features. Our genetic investigations included single-gene testing, Whole Exome Sequencing (WES), and Whole Genome Sequencing (WGS). Our study enrolled 162 patients from various geographic regions of our country. Among our subpopulations, we identified known and novel pathogenic variants in 42 genes in 97 families. The overall genetic diagnostic rate was 59.9%. Notably, we observed PLA2G6, ATM, SACS, and SCA variants in 19, 14, 12, and 10 families, respectively. Remarkably, more than 59% of the cases were attributed to pathogenic variants in these genes. Iran, being at the crossroad of the Middle East, exhibits a highly diverse genetic etiology for autosomal recessive hereditary ataxia. In light of this heterogeneity, the development of preventive strategies and targeted molecular therapeutics becomes crucial. A national guideline for the diagnosis and management of patients with these conditions could significantly aid in advancing healthcare approaches and improving patient outcomes.","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140574903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-02DOI: 10.1186/s40246-024-00591-y
Eunyoung Choi, Jaeseung Song, Yubin Lee, Yeonbin Jeong, Wonhee Jang
Male-pattern baldness (MPB) is the most common cause of hair loss in men. It can be categorized into three types: type 2 (T2), type 3 (T3), and type 4 (T4), with type 1 (T1) being considered normal. Although various MPB-associated genetic variants have been suggested, a comprehensive study for linking these variants to gene expression regulation has not been performed to the best of our knowledge. In this study, we prioritized MPB-related tissue panels using tissue-specific enrichment analysis and utilized single-tissue panels from genotype-tissue expression version 8, as well as cross-tissue panels from context-specific genetics. Through a transcriptome-wide association study and colocalization analysis, we identified 52, 75, and 144 MPB associations for T2, T3, and T4, respectively. To assess the causality of MPB genes, we performed a conditional and joint analysis, which revealed 10, 11, and 54 putative causality genes for T2, T3, and T4, respectively. Finally, we conducted drug repositioning and identified potential drug candidates that are connected to MPB-associated genes. Overall, through an integrative analysis of gene expression and genotype data, we have identified robust MPB susceptibility genes that may help uncover the underlying molecular mechanisms and the novel drug candidates that may alleviate MPB.
{"title":"Prioritizing susceptibility genes for the prognosis of male-pattern baldness with transcriptome-wide association study","authors":"Eunyoung Choi, Jaeseung Song, Yubin Lee, Yeonbin Jeong, Wonhee Jang","doi":"10.1186/s40246-024-00591-y","DOIUrl":"https://doi.org/10.1186/s40246-024-00591-y","url":null,"abstract":"Male-pattern baldness (MPB) is the most common cause of hair loss in men. It can be categorized into three types: type 2 (T2), type 3 (T3), and type 4 (T4), with type 1 (T1) being considered normal. Although various MPB-associated genetic variants have been suggested, a comprehensive study for linking these variants to gene expression regulation has not been performed to the best of our knowledge. In this study, we prioritized MPB-related tissue panels using tissue-specific enrichment analysis and utilized single-tissue panels from genotype-tissue expression version 8, as well as cross-tissue panels from context-specific genetics. Through a transcriptome-wide association study and colocalization analysis, we identified 52, 75, and 144 MPB associations for T2, T3, and T4, respectively. To assess the causality of MPB genes, we performed a conditional and joint analysis, which revealed 10, 11, and 54 putative causality genes for T2, T3, and T4, respectively. Finally, we conducted drug repositioning and identified potential drug candidates that are connected to MPB-associated genes. Overall, through an integrative analysis of gene expression and genotype data, we have identified robust MPB susceptibility genes that may help uncover the underlying molecular mechanisms and the novel drug candidates that may alleviate MPB.","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140574436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-02DOI: 10.1186/s40246-024-00597-6
Wenjun Wang, Lei Zhou, Hui Li, Tingge Sun, Xue Wen, Wei Li, Miguel A. Esteban, Andrew R. Hoffman, Ji-Fan Hu, Jiuwei Cui
The N6-methyladenosine (m6A) RNA modification plays essential roles in multiple biological processes, including stem cell fate determination. To explore the role of the m6A modification in pluripotent reprogramming, we used RNA-seq to map m6A effectors in human iPSCs, fibroblasts, and H9 ESCs, as well as in mouse ESCs and fibroblasts. By integrating the human and mouse RNA-seq data, we found that 19 m6A effectors were significantly upregulated in reprogramming. Notably, IGF2BPs, particularly IGF2BP1, were among the most upregulated genes in pluripotent cells, while YTHDF3 had high levels of expression in fibroblasts. Using quantitative PCR and Western blot, we validated the pluripotency-associated elevation of IGF2BPs. Knockdown of IGF2BP1 induced the downregulation of stemness genes and exit from pluripotency. Proteome analysis of cells collected at both the beginning and terminal states of the reprogramming process revealed that the IGF2BP1 protein was positively correlated with stemness markers SOX2 and OCT4. The eCLIP-seq target analysis showed that IGF2BP1 interacted with the coding sequence (CDS) and 3’UTR regions of the SOX2 transcripts, in agreement with the location of m6A modifications. This study identifies IGF2BP1 as a vital pluripotency-associated m6A effector, providing new insight into the interplay between m6A epigenetic modifications and pluripotent reprogramming.
{"title":"Profiling the role of m6A effectors in the regulation of pluripotent reprogramming","authors":"Wenjun Wang, Lei Zhou, Hui Li, Tingge Sun, Xue Wen, Wei Li, Miguel A. Esteban, Andrew R. Hoffman, Ji-Fan Hu, Jiuwei Cui","doi":"10.1186/s40246-024-00597-6","DOIUrl":"https://doi.org/10.1186/s40246-024-00597-6","url":null,"abstract":"The N6-methyladenosine (m6A) RNA modification plays essential roles in multiple biological processes, including stem cell fate determination. To explore the role of the m6A modification in pluripotent reprogramming, we used RNA-seq to map m6A effectors in human iPSCs, fibroblasts, and H9 ESCs, as well as in mouse ESCs and fibroblasts. By integrating the human and mouse RNA-seq data, we found that 19 m6A effectors were significantly upregulated in reprogramming. Notably, IGF2BPs, particularly IGF2BP1, were among the most upregulated genes in pluripotent cells, while YTHDF3 had high levels of expression in fibroblasts. Using quantitative PCR and Western blot, we validated the pluripotency-associated elevation of IGF2BPs. Knockdown of IGF2BP1 induced the downregulation of stemness genes and exit from pluripotency. Proteome analysis of cells collected at both the beginning and terminal states of the reprogramming process revealed that the IGF2BP1 protein was positively correlated with stemness markers SOX2 and OCT4. The eCLIP-seq target analysis showed that IGF2BP1 interacted with the coding sequence (CDS) and 3’UTR regions of the SOX2 transcripts, in agreement with the location of m6A modifications. This study identifies IGF2BP1 as a vital pluripotency-associated m6A effector, providing new insight into the interplay between m6A epigenetic modifications and pluripotent reprogramming.","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140574435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-26DOI: 10.1186/s40246-024-00599-4
Michelle M Denomme, Blair R McCallie, Mary E Haywood, Jason C Parks, William B Schoolcraft, Mandy G Katz-Jaffe
Background: Advanced paternal age (APA) is associated with adverse outcomes to offspring health, including increased risk for neurodevelopmental disorders. The aim of this study was to investigate the methylome and transcriptome of the first two early embryonic tissue lineages, the inner cell mass (ICM) and the trophectoderm (TE), from human blastocysts in association with paternal age and disease risk. High quality human blastocysts were donated with patient consent from donor oocyte IVF cycles from either APA (≥ 50 years) or young fathers. Blastocysts were mechanically separated into ICM and TE lineage samples for both methylome and transcriptome analyses.
Results: Significant differential methylation and transcription was observed concurrently in ICM and TE lineages of APA-derived blastocysts compared to those from young fathers. The methylome revealed significant enrichment for neuronal signaling pathways, as well as an association with neurodevelopmental disorders and imprinted genes, largely overlapping within both the ICM and TE lineages. Significant enrichment of neurodevelopmental signaling pathways was also observed for differentially expressed genes, but only in the ICM. In stark contrast, no significant signaling pathways or gene ontology terms were identified in the trophectoderm. Despite normal semen parameters in aged fathers, these significant molecular alterations can adversely contribute to downstream impacts on offspring health, in particular neurodevelopmental disorders like autism spectrum disorder and schizophrenia.
Conclusions: An increased risk for neurodevelopmental disorders is well described in children conceived by aged fathers. Using blastocysts derived from donor oocyte IVF cycles to strategically control for maternal age, our data reveals evidence of methylation dysregulation in both tissue lineages, as well as transcription dysregulation in neurodevelopmental signaling pathways associated with APA fathers. This data also reveals that embryos derived from APA fathers do not appear to be compromised for initial implantation potential with no significant pathway signaling disruption in trophectoderm transcription. Collectively, our work provides insights into the complex molecular mechanisms that occur upon paternal aging during the first lineage differentiation in the preimplantation embryo. Early expression and epigenetic markers of APA-derived preimplantation embryos highlight the susceptibility of the future fetus to adverse health outcomes.
背景：高父系年龄（APA）与后代健康的不良后果有关，包括神经发育障碍风险的增加。本研究旨在调查人类囊胚中前两个早期胚胎组织系（内细胞团（ICM）和滋养层（TE））的甲基组和转录组与父亲年龄和疾病风险的关系。优质人类囊胚是在征得患者同意后从 APA（≥ 50 岁）或年轻父亲的卵母细胞体外受精周期中捐献的。用机械方法将囊胚分离成 ICM 和 TE 系样本，进行甲基组和转录组分析：结果：与来自年轻父亲的囊胚相比，在来自 APA 的囊胚的 ICM 和 TE 系中同时观察到了显著的甲基化和转录差异。甲基组显示神经元信号通路显著富集，并与神经发育障碍和印记基因有关，这在 ICM 和 TE 系中基本重叠。在差异表达基因中也观察到神经发育信号通路的显著富集，但仅存在于 ICM 中。与此形成鲜明对比的是，在滋养层中没有发现重要的信号通路或基因本体术语。尽管高龄父亲的精液参数正常，但这些显著的分子变化会对后代的健康产生不利影响，尤其是自闭症谱系障碍和精神分裂症等神经发育疾病：结论：高龄父亲所怀子女罹患神经发育障碍的风险增加已得到充分证实。我们的数据利用从供体卵母细胞试管婴儿周期中获得的囊胚来策略性地控制母体年龄，发现了与 APA 父亲相关的两个组织系的甲基化失调以及神经发育信号通路的转录失调的证据。这些数据还显示，来自 APA 父亲的胚胎似乎并不影响最初的植入潜力，滋养层外胚层转录信号通路也没有明显的中断。总之，我们的研究工作让我们深入了解了植入前胚胎第一系分化过程中父亲衰老时发生的复杂分子机制。APA衍生的植入前胚胎的早期表达和表观遗传标记突显了未来胎儿对不良健康结果的易感性。
{"title":"Paternal aging impacts expression and epigenetic markers as early as the first embryonic tissue lineage differentiation.","authors":"Michelle M Denomme, Blair R McCallie, Mary E Haywood, Jason C Parks, William B Schoolcraft, Mandy G Katz-Jaffe","doi":"10.1186/s40246-024-00599-4","DOIUrl":"10.1186/s40246-024-00599-4","url":null,"abstract":"<p><strong>Background: </strong>Advanced paternal age (APA) is associated with adverse outcomes to offspring health, including increased risk for neurodevelopmental disorders. The aim of this study was to investigate the methylome and transcriptome of the first two early embryonic tissue lineages, the inner cell mass (ICM) and the trophectoderm (TE), from human blastocysts in association with paternal age and disease risk. High quality human blastocysts were donated with patient consent from donor oocyte IVF cycles from either APA (≥ 50 years) or young fathers. Blastocysts were mechanically separated into ICM and TE lineage samples for both methylome and transcriptome analyses.</p><p><strong>Results: </strong>Significant differential methylation and transcription was observed concurrently in ICM and TE lineages of APA-derived blastocysts compared to those from young fathers. The methylome revealed significant enrichment for neuronal signaling pathways, as well as an association with neurodevelopmental disorders and imprinted genes, largely overlapping within both the ICM and TE lineages. Significant enrichment of neurodevelopmental signaling pathways was also observed for differentially expressed genes, but only in the ICM. In stark contrast, no significant signaling pathways or gene ontology terms were identified in the trophectoderm. Despite normal semen parameters in aged fathers, these significant molecular alterations can adversely contribute to downstream impacts on offspring health, in particular neurodevelopmental disorders like autism spectrum disorder and schizophrenia.</p><p><strong>Conclusions: </strong>An increased risk for neurodevelopmental disorders is well described in children conceived by aged fathers. Using blastocysts derived from donor oocyte IVF cycles to strategically control for maternal age, our data reveals evidence of methylation dysregulation in both tissue lineages, as well as transcription dysregulation in neurodevelopmental signaling pathways associated with APA fathers. This data also reveals that embryos derived from APA fathers do not appear to be compromised for initial implantation potential with no significant pathway signaling disruption in trophectoderm transcription. Collectively, our work provides insights into the complex molecular mechanisms that occur upon paternal aging during the first lineage differentiation in the preimplantation embryo. Early expression and epigenetic markers of APA-derived preimplantation embryos highlight the susceptibility of the future fetus to adverse health outcomes.</p>","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10964547/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140293427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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