BMC genomic data最新文献_第3页

Transcriptomic analysis of maize leaves under different irrigation treatments in field conditions. 田间不同灌溉条件下玉米叶片转录组学分析。

IF 1.9

BMC genomic data Pub Date : 2025-03-19 DOI: 10.1186/s12863-025-01302-9

Yuan-Xin Li, Ru-Zhi Li, Jing Yang, Zhi-Wei Wang, Xiao-Guang Li, Hou-Zhen Yi, Xin-Ping Guo, Hang Zhou, Kai-Hua Jia, Peng-Fei Chu

{"title":"Transcriptomic analysis of maize leaves under different irrigation treatments in field conditions.","authors":"Yuan-Xin Li, Ru-Zhi Li, Jing Yang, Zhi-Wei Wang, Xiao-Guang Li, Hou-Zhen Yi, Xin-Ping Guo, Hang Zhou, Kai-Hua Jia, Peng-Fei Chu","doi":"10.1186/s12863-025-01302-9","DOIUrl":"10.1186/s12863-025-01302-9","url":null,"abstract":"Objectives: As one of the most widely cultivated agricultural crops in the world, maize (Zea mays L.) yield is often affected by water stress. In this study, we designed eight different irrigation levels in a field environment, covering a wide range of gradients, and conducted a comprehensive transcriptomic analysis of maize leaves under these eight treatments. The results revealed the molecular mechanisms by which maize responds to drought, optimal irrigation, and excessive irrigation in field conditions. This not only deepens our understanding of maize's response to water stress but also provides valuable genetic resources and theoretical insights for future genetic improvement.Data description: This study designed eight different irrigation levels under field conditions and conducted comprehensive transcriptome sequencing of maize ear leaf tissues. Analysis of the transcriptome data identified differentially expressed genes (DEGs), and principal component analysis (PCA) revealed a clear separation trend among samples under varying water conditions. Furthermore, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses highlighted functional categories associated with water response, cellular metabolism, and growth regulation. These findings provide valuable insights into the molecular mechanisms of maize under drought, optimal irrigation, and over-irrigation conditions, laying a foundation for future genetic improvement efforts.","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":"26 1","pages":"19"},"PeriodicalIF":1.9,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11921481/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143665555","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}

引用次数: 0

Unveiling the complete genome sequence of Paenibacillus taichungensis: genomic features and biocontrol potential. 揭示台湾芽孢杆菌全基因组序列：基因组特征及生物防治潜力。

IF 1.9

BMC genomic data Pub Date : 2025-03-17 DOI: 10.1186/s12863-025-01310-9

Shanwen Ding, Zijun Ma, Yafei Tang, Lin Yu, Zifu He, Xiaoman She

{"title":"Unveiling the complete genome sequence of Paenibacillus taichungensis: genomic features and biocontrol potential.","authors":"Shanwen Ding, Zijun Ma, Yafei Tang, Lin Yu, Zifu He, Xiaoman She","doi":"10.1186/s12863-025-01310-9","DOIUrl":"10.1186/s12863-025-01310-9","url":null,"abstract":"Objectives: The genus Paenibacillus encompasses a diverse group of Gram-positive bacteria with significant biotechnological potential. However, the research data and application cases of Paenibacillus taichungensis were still poorly understood. In this study, we isolated a P. taichungensis strain BB507, which demonstrated antibacterial effect on Ralstonia solanacearum species complex, and provided data and analysis of its complete genome.Data description: Strain BB507 was isolated from a pine rhizosphere in Meizhou city, Guangdong province of China, and showed antibacterial activity against Ralstonia solanacearum species complex. Complete genome was sequenced using Illumina NovaSeq (second-generation) and Oxford Nanopore (third-generation) platforms. The genome of BB507 comprised of a 6,974,531 bp circular chromosome and a 352,197 bp circular plasmid, encoding a total of 6,649 gene with an average gene length of 950 bp, 103 transfer RNAs, 2 sRNAs, and 36 rRNAs. Three candidate CRISPRs, 6 genomic islands and 14 prophages were predicted. The bacterial orthologous average nucleotide identity (OAT) and the type genome server (TYGS) analysis highlighted the strain BB507 was clustered into a subgroup with P. taichungensis. antiSMASH v7.0 predicted the presence of 10 secondary metabolite gene clusters in the genome. These findings will serve as a useful resource for further research in industrial and agricultural biotechnology.","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":"26 1","pages":"18"},"PeriodicalIF":1.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11912702/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143652416","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}

引用次数: 0

Genome sequencing highlights the fungal sclerotium formation of medicinal fungi Polyporus umbellatus. 基因组测序突出了药用真菌伞孢菌菌核的形成。

IF 1.9

BMC genomic data Pub Date : 2025-03-17 DOI: 10.1186/s12863-025-01311-8

Li Chi, Tianrui Liu, Zhongyi Hua, Pengjie Han, Honghong Jiao, Yuan Yuan

引用次数: 0

A dataset of single-cell transcriptomic atlas of Bama pig and potential marker genes across seven tissues. 巴马猪单细胞转录组图谱和7个组织的潜在标记基因数据集。

IF 1.9

BMC genomic data Pub Date : 2025-03-12 DOI: 10.1186/s12863-025-01308-3

Long Chen, Xingyan Tong, Yujie Wu, Can Liu, Chuang Tang, Xu Qi, Fanli Kong, Mingzhou Li, Long Jin, Bo Zeng

{"title":"A dataset of single-cell transcriptomic atlas of Bama pig and potential marker genes across seven tissues.","authors":"Long Chen, Xingyan Tong, Yujie Wu, Can Liu, Chuang Tang, Xu Qi, Fanli Kong, Mingzhou Li, Long Jin, Bo Zeng","doi":"10.1186/s12863-025-01308-3","DOIUrl":"10.1186/s12863-025-01308-3","url":null,"abstract":"The use of single-cell sequencing technology for single-cell transcriptomics studies in pigs is expanding progressively. However, the comprehensive classification of cell types across different anatomical tissues and organs of pig in multiple datasets remains relatively limited. This study employs single-cell and single-nucleus sequencing technologies in Bama pig to identify unique marker genes and their corresponding transcriptomic profiles across diverse cell types in various anatomical tissues and organs, including subcutaneous fat, visceral fat, psoas major muscle, liver, spleen, lung, and kidney. Through detailed data analyses, we observed widespread cellular diversity across various anatomical tissues and organs of Bama pig. This work contributes a comprehensive dataset that supports physiological studies and aids in the identification and prediction of potential marker genes through single-cell transcriptomics of these tissues. The methodologies and data employed in this study are designed to improve the accuracy of cell type identification and ensure consistent cell type allocation.","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":"26 1","pages":"16"},"PeriodicalIF":1.9,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11899051/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143617683","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}

引用次数: 0

217 closed Salmonella reference genomes using PacBio sequencing. 利用 PacBio 测序技术获得 217 个封闭的沙门氏菌参考基因组。

IF 1.9

BMC genomic data Pub Date : 2025-02-28 DOI: 10.1186/s12863-025-01304-7

Yan Luo, Jae Hee Jang, Maria Balkey, Maria Hoffmann

{"title":"217 closed Salmonella reference genomes using PacBio sequencing.","authors":"Yan Luo, Jae Hee Jang, Maria Balkey, Maria Hoffmann","doi":"10.1186/s12863-025-01304-7","DOIUrl":"10.1186/s12863-025-01304-7","url":null,"abstract":"Objectives: Whole Genome Sequencing (WGS) is widely used in food safety for the detection, investigation, and control of foodborne bacterial pathogens. However, the WGS data in most public databases, such as the National Center for Biotechnology Information (NCBI), primarily consist of Illumina short reads which lack some important information for repetitive regions, structural variations, and mobile genetic elements, and the genomic location of certain important genes like antimicrobial resistance genes (AMR) and virulence genes. To address this limitation, we have contributed 217 closed circular Salmonella enterica genomes that were generated using PacBio sequencing to the NCBI Pathogen Detection (PD) database and GenBank. This dataset provides a higher level of accuracy to genome representations in the database.Data description: High-quality complete reference genomes generated from PacBio long reads can provide essential details that are not available in draft genomes from short reads. A complete reference genome allows for more accurate data analysis and researchers to establish connections between genome variations and known genes, regulatory elements, and other genomic features. The addition of 217 complete genomes from 78 different Salmonella serovars, each representing either a distinct SNP cluster within the NCBI PD database or a unique strain, significantly enriches the diversity of the reference genome database.","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":"26 1","pages":"15"},"PeriodicalIF":1.9,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11871702/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531473","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}

引用次数: 0

Draft genome sequence of the fungal pathogen Penicillium expansum (PPRI25879) isolated in South Africa. 南非分离真菌病原体扩张青霉（PPRI25879）基因组序列草图。

IF 1.9

BMC genomic data Pub Date : 2025-02-21 DOI: 10.1186/s12863-025-01299-1

Molemi Rauwane, Sandiswa Figlan, Wai Yin Chan, Khayalethu Ntushelo

{"title":"Draft genome sequence of the fungal pathogen Penicillium expansum (PPRI25879) isolated in South Africa.","authors":"Molemi Rauwane, Sandiswa Figlan, Wai Yin Chan, Khayalethu Ntushelo","doi":"10.1186/s12863-025-01299-1","DOIUrl":"10.1186/s12863-025-01299-1","url":null,"abstract":"Objectives: Penicillium expansum, a necrotrophic plant pathogen with a wide range of fruit hosts, is an important causal agent of blue mold rot. The fruit business suffers significant financial losses because of blue mold rot that occurs during fruit storage, transportation, and sale. The objective of this work was to generate a high-quality draft genome assembly of P. expansum, which will contribute to enhancing the management of blue mold, especially in stone and pome fruits, including grapes, by improving our understanding of the epidemiology of the pathogen and its interactions with the host.Data description: Here, we describe the genome sequence of Penicillium expansum isolate PPRI25879, one of the most virulent strains isolated from grapes in South Africa. Sequencing reads from P. expansum produced approximately 3.5 Gb. The assembly generated a draft genome of size 32.1 Mb, consisting of 1648 contigs, with an N50 of 508 KB. Examination of the genome completeness with Benchmarking Universal Single-Copy Orthologs (BUSCO) showed the draft genome carries 97.9% of the 746 genes in the Eurotiomycetes_odb10 database. The draft genome sequence will allow improved genomic comparisons among the most important pathogens belonging to the Penicillium genus, with the aim of improving our knowledge of their plant-pathogen interactions, population biology, and control.","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":"26 1","pages":"14"},"PeriodicalIF":1.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11846280/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473366","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}

引用次数: 0

Transcriptome profiling across 11 different tissues in Pisum sativum. 油菜11种不同组织的转录组分析。

IF 1.9

BMC genomic data Pub Date : 2025-02-20 DOI: 10.1186/s12863-024-01287-x

Ru-Zhi Li, Guan Li, Xiao-Yan Zhang, Lei-Lei Li, Zhi-Wei Wang, Feng-Jing Song, Kai-Hua Jia, Na-Na Li, Peng-Fei Chu

{"title":"Transcriptome profiling across 11 different tissues in Pisum sativum.","authors":"Ru-Zhi Li, Guan Li, Xiao-Yan Zhang, Lei-Lei Li, Zhi-Wei Wang, Feng-Jing Song, Kai-Hua Jia, Na-Na Li, Peng-Fei Chu","doi":"10.1186/s12863-024-01287-x","DOIUrl":"10.1186/s12863-024-01287-x","url":null,"abstract":"Objectives: Peas (Pisum sativum) are vital for human nutrition and have significantly contributed to the understanding of Mendelian inheritance laws. In this study, we performed transcriptome sequencing on 11 distinct pea tissues, offering an extensive gene expression dataset. This study not only provides valuable insights into the gene expression patterns across various pea tissues but also lays the foundation for future research aimed at understanding the molecular mechanisms underlying pea growth, development, and response to environmental stimuli.Data description: In this study, we conducted transcriptome sequencing on tissue samples from 11 distinct pea plants, each with three biological replicates. This approach yielded a comprehensive RNA-seq dataset, abundant in transcriptomic information. Through principal component analysis (PCA) and gene ontology (GO) enrichment analysis, we identified significant variations in gene expression across different samples. This valuable transcriptomic resource enhances our understanding of gene expression in diverse pea tissues and provides new strategies, along with potential candidate genes, for the genetic improvement of peas.","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":"26 1","pages":"13"},"PeriodicalIF":1.9,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11841238/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143469249","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}

引用次数: 0

Complete genome assemblies and antibiograms of 22 Staphylococcus capitis isolates. 22 个分离出的头癣葡萄球菌的完整基因组组装和抗生素图谱。

IF 1.9

BMC genomic data Pub Date : 2025-02-15 DOI: 10.1186/s12863-025-01303-8

Yu Wan, Rachel Pike, Alessandra Harley, Zaynab Mumin, Isabelle Potterill, Danièle Meunier, Mark Ganner, Maria Getino, Juliana Coelho, Elita Jauneikaite, Kartyk Moganeradj, Colin S Brown, Alison H Holmes, Alicia Demirjian, Katie L Hopkins, Bruno Pichon

{"title":"Complete genome assemblies and antibiograms of 22 Staphylococcus capitis isolates.","authors":"Yu Wan, Rachel Pike, Alessandra Harley, Zaynab Mumin, Isabelle Potterill, Danièle Meunier, Mark Ganner, Maria Getino, Juliana Coelho, Elita Jauneikaite, Kartyk Moganeradj, Colin S Brown, Alison H Holmes, Alicia Demirjian, Katie L Hopkins, Bruno Pichon","doi":"10.1186/s12863-025-01303-8","DOIUrl":"10.1186/s12863-025-01303-8","url":null,"abstract":"Objective: Staphylococcus capitis is part of the human microbiome and an opportunistic pathogen known to cause catheter-associated bacteraemia, prosthetic joint infections, skin and wound infections, among others. Detection of S. capitis in normally sterile body sites saw an increase over the last decade in England, where a multidrug-resistant clone, NRCS-A, was widely identified in blood samples from infants in neonatal intensive care units. To address a lack of complete genomes and antibiograms of S. capitis in public databases, we performed long- and short-read whole-genome sequencing, hybrid genome assembly, and antimicrobial susceptibility testing of 22 diverse isolates.Data description: We present complete genome assemblies of two S. capitis type strains (subspecies capitis: DSM 20326; subspecies urealyticus: DSM 6717) and 20 clinical isolates (NRCS-A: 10) from England. Each genome is accompanied by minimum inhibitory concentrations of 13 antimicrobials including vancomycin, teicoplanin, daptomycin, linezolid, and clindamycin. These 22 genomes were 2.4-2.7 Mbp in length and had a GC content of 33%. Plasmids were identified in 20 isolates. Resistance to teicoplanin, daptomycin, gentamicin, fusidic acid, rifampicin, ciprofloxacin, clindamycin, and erythromycin was seen in 1-10 isolates. Our data are a resource for future studies on genomics, evolution, and antimicrobial resistance of S. capitis.","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":"26 1","pages":"12"},"PeriodicalIF":1.9,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11830182/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143426727","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}

引用次数: 0

Genome-wide DNA polymorphisms in two peatland adapted Coffea liberica varieties. 两个泥炭地适应咖啡品种的全基因组DNA多态性。

IF 1.9

BMC genomic data Pub Date : 2025-02-14 DOI: 10.1186/s12863-025-01305-6

Tisha Melia, Fatayat, Ninik Nihayatul Wahibah, Siti Fatonah, Dewi Indriyani Roslim, Arisman Adnan

{"title":"Genome-wide DNA polymorphisms in two peatland adapted Coffea liberica varieties.","authors":"Tisha Melia, Fatayat, Ninik Nihayatul Wahibah, Siti Fatonah, Dewi Indriyani Roslim, Arisman Adnan","doi":"10.1186/s12863-025-01305-6","DOIUrl":"10.1186/s12863-025-01305-6","url":null,"abstract":"Objectives: Coffea liberica is one of the species within the Coffea genus known for its distinctive flavor and resistance to leaf rust disease. Through breeding approaches, two superior varieties of C. liberica, designated as Liberoid Meranti 1 (Lim 1) and Liberoid Meranti 2 (Lim 2), were introduced in 2015. These varieties are known for their high adaptability in peatlands. The genetic basis of plant adaptability to peatlands remains largely unknown. It is therefore essential to identify genome-wide DNA polymorphisms in Lim 1 and 2 in order to gain insights into its capacity for adaptation in peatlands.Data description: Whole genome sequencing was performed on three plants from each variety (Lim 1 and 2), resulting in 430 million sequencing reads. The mean depth of sequencing for each sample was 36.90x. The reads were mapped to the Coffea canephora genome, with an average mapping rate of 96.34%. The sequencing data revealed the presence of 3,766,805 single-nucleotide polymorphisms (SNPs) and 1,123,683 insertion-deletions (indels) in all six plants. Among the SNPs, there was a notable prevalence of transitions, with a ratio of approximately twofold compared to transversions. The generated data offers invaluable genomic resources for marker development, with significant implications for understanding peatlands adaptability.","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":"26 1","pages":"11"},"PeriodicalIF":1.9,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11829567/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143426733","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}

引用次数: 0

Evaluating vitamin C-related gene-environment and metabolite-environment interaction effects on intraocular pressure in the Canadian Longitudinal Study on Aging. 在加拿大衰老纵向研究中评估维生素c相关基因-环境和代谢-环境相互作用对眼压的影响

IF 1.9

BMC genomic data Pub Date : 2025-01-29 DOI: 10.1186/s12863-025-01301-w

Rebecca Lelievre, Mohan Rakesh, Pirro G Hysi, Julian Little, Ellen E Freeman, Marie-Hélène Roy-Gagnon

{"title":"Evaluating vitamin C-related gene-environment and metabolite-environment interaction effects on intraocular pressure in the Canadian Longitudinal Study on Aging.","authors":"Rebecca Lelievre, Mohan Rakesh, Pirro G Hysi, Julian Little, Ellen E Freeman, Marie-Hélène Roy-Gagnon","doi":"10.1186/s12863-025-01301-w","DOIUrl":"10.1186/s12863-025-01301-w","url":null,"abstract":"High intraocular pressure (IOP) is an important risk factor for glaucoma, which is influenced by genetic and environmental factors. However, the etiology of high IOP remains uncertain. Metabolites are compounds involved in metabolism which provide a link between the internal (genetic) and external environments. O-methylascorbate has been reported to be associated with IOP. In addition, researchers have identified several genetic variants which are associated with metabolite concentrations, including O-methylascorbate and another vitamin C related metabolite, ascorbic acid 2-sulfate. We aimed to understand how O-methylascorbate and ascorbic acid 2-sulfate, or genetic variants associated with these metabolites, modify the associations between dietary environmental variables and IOP. We used data from 8060 participants of the Canadian Longitudinal Study on Aging. Using linear models adjusted for relevant covariates, we tested for interactions between six genetic variants previously found to be associated with O-methylascorbate and ascorbic acid 2-sulfate and four environmental variables related to diet (alcohol consumption frequency, smoking status, fruit consumption, and vegetable consumption). We also tested for interactions between serum concentrations of O-methylascorbate and ascorbic acid 2-sulfate and these environmental factors. We used a False Discovery Rate approach to correct for the 32 interaction tests performed. One interaction was suggestively significant after multiple testing correction (adjusted P-value < 0.1): rs8050812 and alcohol consumption frequency. Understanding how genetic variants and metabolites interact with the environment could shed light on biological pathways controlling IOP and lead to improved prevention and treatment of glaucoma.","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":"26 1","pages":"10"},"PeriodicalIF":1.9,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11776179/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143070010","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}

引用次数: 0