1
|
Cevik SE, Skaar DA, Jima DD, Liu AJ, Østbye T, Whitson HE, Jirtle RL, Hoyo C, Planchart A. DNA methylation of imprint control regions associated with Alzheimer's disease in non-Hispanic Blacks and non-Hispanic Whites. Clin Epigenetics 2024; 16:58. [PMID: 38658973 PMCID: PMC11043040 DOI: 10.1186/s13148-024-01672-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 04/13/2024] [Indexed: 04/26/2024] Open
Abstract
Alzheimer's disease (AD) prevalence is twice as high in non-Hispanic Blacks (NHBs) as in non-Hispanic Whites (NHWs). The objective of this study was to determine whether aberrant methylation at imprint control regions (ICRs) is associated with AD. Differentially methylated regions (DMRs) were bioinformatically identified from whole-genome bisulfite sequenced DNA derived from brain tissue of 9 AD (5 NHBs and 4 NHWs) and 8 controls (4 NHBs and 4 NHWs). We identified DMRs located within 120 regions defined as candidate ICRs in the human imprintome ( https://genome.ucsc.edu/s/imprintome/hg38.AD.Brain_track ). Eighty-one ICRs were differentially methylated in NHB-AD, and 27 ICRs were differentially methylated in NHW-AD, with two regions common to both populations that are proximal to the inflammasome gene, NLRP1, and a known imprinted gene, MEST/MESTIT1. These findings indicate that early developmental alterations in DNA methylation of regions regulating genomic imprinting may contribute to AD risk and that this epigenetic risk differs between NHBs and NHWs.
Collapse
Affiliation(s)
- Sebnem E Cevik
- Toxicology Program, North Carolina State University, Raleigh, NC, USA
| | - David A Skaar
- Toxicology Program, North Carolina State University, Raleigh, NC, USA
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| | - Dereje D Jima
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
| | - Andy J Liu
- Department of Neurology, School of Medicine, Duke University, Durham, NC, USA
| | - Truls Østbye
- Department of Family Medicine and Community Health, Duke University, Durham, NC, USA
| | - Heather E Whitson
- Department of Medicine, School of Medicine, Duke University, Durham, NC, USA
- Duke Center for the Study of Aging and Human Development, Durham, NC, USA
- Duke/UNC Alzheimer's Disease Research Center (ADRC), Durham, NC, USA
| | - Randy L Jirtle
- Toxicology Program, North Carolina State University, Raleigh, NC, USA.
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA.
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA.
| | - Cathrine Hoyo
- Toxicology Program, North Carolina State University, Raleigh, NC, USA.
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA.
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA.
| | - Antonio Planchart
- Toxicology Program, North Carolina State University, Raleigh, NC, USA
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| |
Collapse
|
2
|
Huo H, Zhang C, Wang K, Wang S, Chen W, Zhang Y, Yu W, Li S, Li S. A novel imprinted locus on bovine chromosome 18 homologous with human chromosome 16q24.1. Mol Genet Genomics 2024; 299:40. [PMID: 38546894 DOI: 10.1007/s00438-024-02123-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 02/02/2024] [Indexed: 04/02/2024]
Abstract
Genomic imprinting is an epigenetic regulation mechanism in mammals resulting in the parentally dependent monoallelic expression of genes. Imprinting disorders in humans are associated with several congenital syndromes and cancers and remain the focus of many medical studies. Cattle is a better model organism for investigating human embryo development than mice. Imprinted genes usually cluster on chromosomes and are regulated by different methylation regions (DMRs) located in imprinting control regions that control gene expression in cis. There is an imprinted locus on human chromosome 16q24.1 associated with congenital lethal developmental lung disease in newborns. However, genomic imprinting on bovine chromosome 18, which is homologous with human chromosome 16 has not been systematically studied. The aim of this study was to analyze the allelic expressions of eight genes (CDH13, ATP2C2, TLDC1, COTL1, CRISPLD2, ZDHHC7, KIAA0513, and GSE1) on bovine chromosome 18 and to search the DMRs associated gene allelic expression. Three transcript variants of the ZDHHC7 gene (X1, X2, and X5) showed maternal imprinting in bovine placentas. In addition, the monoallelic expression of X2 and X5 was tissue-specific. Five transcripts of the KIAA0513 gene showed tissue- and isoform-specific monoallelic expression. The CDH13, ATP2C2, and TLDC1 genes exhibited tissue-specific imprinting, however, COTL1, CRISLPLD2, and GSE1 escaped imprinting. Four DMRs, established after fertilization, were found in this region. Two DMRs were located between the ZDHHC7 and KIAA0513 genes, and two were in exon 1 of the CDH13 and ATP2C2 genes, respectively. The results from this study support future studies on the molecular mechanism to regulate the imprinting of candidate genes on bovine chromosome 18.
Collapse
Affiliation(s)
- Haonan Huo
- College of Life Science, Agricultural University of Hebei, Baoding, Hebei, China
| | - Cui Zhang
- College of Life Science, Agricultural University of Hebei, Baoding, Hebei, China
| | - Kun Wang
- Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, China
- Key Laboratory of Crop Cultivation Physiology and Green Production in Hebei Province, Shijiazhuang, China
| | - Siwei Wang
- Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, China
- Key Laboratory of Crop Cultivation Physiology and Green Production in Hebei Province, Shijiazhuang, China
| | - Weina Chen
- College of Medical Science, Hebei University, Baoding, Hebei, China
| | - Yinjiao Zhang
- College of Life Science, Agricultural University of Hebei, Baoding, Hebei, China
| | - Wenli Yu
- Shijiazhuang Tianquan Elite Dairy Ltd., Shijiazhuang, Hebei, China
| | - Shujing Li
- Shijiazhuang Tianquan Elite Dairy Ltd., Shijiazhuang, Hebei, China.
| | - Shijie Li
- College of Life Science, Agricultural University of Hebei, Baoding, Hebei, China.
| |
Collapse
|
3
|
Yang MY, Hsu CM, Lin PM, Yang CH, Hu ML, Chen IY, Lin SF. Altered expression of imprinted genes in patients with cytogenetically normal‑acute myeloid leukemia: Implications for leukemogenesis and survival outcomes. Mol Clin Oncol 2023; 19:94. [PMID: 37920417 PMCID: PMC10619196 DOI: 10.3892/mco.2023.2690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 09/21/2023] [Indexed: 11/04/2023] Open
Abstract
Genomic imprinting, an epigenetic mechanism that regulates gene expression from parental chromosomes, holds substantial relevance in multiple cancers, including hematopoietic malignancies. In the present study, the expression of a panel of 16 human imprinted genes in bone marrow samples from 64 patients newly diagnosed with cytogenetically normal-acute myeloid leukemia (CN-AML) were examined alongside peripheral blood samples from 85 healthy subjects. The validated findings of the present study revealed significant upregulation of seven genes [COPI coat complex subunit gamma 2 (COPG2), H19 imprinted maternally expressed transcript (H19), insulin like growth factor 2 (IGF2), PEG3 antisense RNA 1 (PEG3-AS1), DNA primase subunit 2 (PRIM2), solute carrier family 22 member 3 SLC22A3 and Zinc finger protein 215 (ZNF215)] in patients with CN-AML (P<0.001). Notably, the expression level of H19 exhibited an inverse association with the survival duration of the patients (P=0.018), establishing it as a predictive marker for two- and five-year survival in patients with CN-AML. Kaplan-Meier analysis demonstrated that patients with lower H19 expression had superior two- and five-year survival rates compared with those with higher H19 expression. The results of the present study highlighted the association between loss of imprinting and leukemogenesis in CN-AML, underscoring the significance of H19 imprinting loss as a prognostic indicator for unfavorable two- and five-year survival in CN-AML patients.
Collapse
Affiliation(s)
- Ming-Yu Yang
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan, R.O.C
- Department of Otolaryngology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taiwan 83301, Taiwan, R.O.C
| | - Cheng-Ming Hsu
- Department of Otolaryngology-Head and Neck Surgery, Chiayi Chang Gung Memorial Hospital, Puzi, Chiayi 61363, Taiwan, R.O.C
- Department of Medicine, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan, R.O.C
| | - Pai-Mei Lin
- School of Medicine for International Students and Department of Nursing, I-Shou University, Kaohsiung 82445, Taiwan, R.O.C
| | - Chao-Hui Yang
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan, R.O.C
- Department of Otolaryngology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taiwan 83301, Taiwan, R.O.C
| | - Ming-Luen Hu
- Division of Hepatogastroenterology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taiwan 83302, Taiwan, R.O.C
| | - I-Ya Chen
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan, R.O.C
| | - Sheng-Fung Lin
- Division of Hematology and Oncology, Department of Internal Medicine, E-Da Hospital, Kaohsiung 82445, Taiwan, R.O.C
| |
Collapse
|
4
|
Johnson RK, Ireton AJ, Carry PM, Vanderlinden LA, Dong F, Romero A, Johnson DR, Ghosh D, Yang F, Frohnert B, Yang IV, Kechris K, Rewers M, Norris JM. DNA Methylation Near DLGAP2 May Mediate the Relationship between Family History of Type 1 Diabetes and Type 1 Diabetes Risk. Pediatr Diabetes 2023; 2023:5367637. [PMID: 38765731 PMCID: PMC11100224 DOI: 10.1155/2023/5367637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/22/2024] Open
Abstract
Given the differential risk of type 1 diabetes (T1D) in offspring of affected fathers versus affected mothers and our observation that T1D cases have differential DNA methylation near the imprinted DLGAP2 gene compared to controls, we examined whether methylation near DLGAP2 mediates the association between T1D family history and T1D risk. In a nested case-control study of 87 T1D cases and 87 controls from the Diabetes Autoimmunity Study in the Young, we conducted causal mediation analyses at 12 DLGAP2 region CpGs to decompose the effect of family history on T1D risk into indirect and direct effects. These effects were estimated from two regression models adjusted for the human leukocyte antigen DR3/4 genotype: a linear regression of family history on methylation (mediator model) and a logistic regression of family history and methylation on T1D (outcome model). For 8 of the 12 CpGs, we identified a significant interaction between T1D family history and methylation on T1D risk. Accounting for this interaction, we found that the increased risk of T1D for children with affected mothers compared to those with no family history was mediated through differences in methylation at two CpGs (cg27351978, cg00565786) in the DLGAP2 region, as demonstrated by a significant pure natural indirect effect (odds ratio (OR) = 1.98, 95% confidence interval (CI): 1.06-3.71) and nonsignificant total natural direct effect (OR = 1.65, 95% CI: 0.16-16.62) (for cg00565786). In contrast, the increased risk of T1D for children with an affected father or sibling was not explained by DNA methylation changes at these CpGs. Results were similar for cg27351978 and robust in sensitivity analyses. Lastly, we found that DNA methylation in the DLGAP2 region was associated (P<0:05) with gene expression of nearby protein-coding genes DLGAP2, ARHGEF10, ZNF596, and ERICH1. Results indicate that the maternal protective effect conferred through exposure to T1D in utero may operate through changes to DNA methylation that have functional downstream consequences.
Collapse
Affiliation(s)
- Randi K. Johnson
- Department of Biomedical Informatics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Amanda J. Ireton
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Patrick M. Carry
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Colorado Program for Musculoskeletal Research, Department of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Lauren A. Vanderlinden
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Fran Dong
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Alex Romero
- Department of Biomedical Informatics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - David R. Johnson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Debashis Ghosh
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Fan Yang
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Brigitte Frohnert
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ivana V. Yang
- Department of Biomedical Informatics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Katerina Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Marian Rewers
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| |
Collapse
|
5
|
Krushkal J, Vural S, Jensen TL, Wright G, Zhao Y. Increased copy number of imprinted genes in the chromosomal region 20q11-q13.32 is associated with resistance to antitumor agents in cancer cell lines. Clin Epigenetics 2022; 14:161. [PMID: 36461044 PMCID: PMC9716673 DOI: 10.1186/s13148-022-01368-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 10/31/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Parent of origin-specific allelic expression of imprinted genes is epigenetically controlled. In cancer, imprinted genes undergo both genomic and epigenomic alterations, including frequent copy number changes. We investigated whether copy number loss or gain of imprinted genes in cancer cell lines is associated with response to chemotherapy treatment. RESULTS We analyzed 198 human imprinted genes including protein-coding genes and noncoding RNA genes using data from tumor cell lines from the Cancer Cell Line Encyclopedia and Genomics of Drug Sensitivity in Cancer datasets. We examined whether copy number of the imprinted genes in 35 different genome locations was associated with response to cancer drug treatment. We also analyzed associations of pretreatment expression and DNA methylation of imprinted genes with drug response. Higher copy number of BLCAP, GNAS, NNAT, GNAS-AS1, HM13, MIR296, MIR298, and PSIMCT-1 in the chromosomal region 20q11-q13.32 was associated with resistance to multiple antitumor agents. Increased expression of BLCAP and HM13 was also associated with drug resistance, whereas higher methylation of gene regions of BLCAP, NNAT, SGK2, and GNAS was associated with drug sensitivity. While expression and methylation of imprinted genes in several other chromosomal regions was also associated with drug response and many imprinted genes in different chromosomal locations showed a considerable copy number variation, only imprinted genes at 20q11-q13.32 had a consistent association of their copy number with drug response. Copy number values among the imprinted genes in the 20q11-q13.32 region were strongly correlated. They were also correlated with the copy number of cancer-related non-imprinted genes MYBL2, AURKA, and ZNF217 in that chromosomal region. Expression of genes at 20q11-q13.32 was associated with ex vivo drug response in primary tumor samples from the Beat AML 1.0 acute myeloid leukemia patient cohort. Association of the increased copy number of the 20q11-q13.32 region with drug resistance may be complex and could involve multiple genes. CONCLUSIONS Copy number of imprinted and non-imprinted genes in the chromosomal region 20q11-q13.32 was associated with cancer drug resistance. The genes in this chromosomal region may have a modulating effect on tumor response to chemotherapy.
Collapse
Affiliation(s)
- Julia Krushkal
- Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, 9609 Medical Center Dr, Rockville, MD, 20850, USA.
| | - Suleyman Vural
- Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, 9609 Medical Center Dr, Rockville, MD, 20850, USA.,Marie-Josee and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | | | - George Wright
- Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, 9609 Medical Center Dr, Rockville, MD, 20850, USA
| | - Yingdong Zhao
- Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, 9609 Medical Center Dr, Rockville, MD, 20850, USA
| |
Collapse
|
6
|
Kenny D, Sleator RD, Murphy CP, Evans RD, Berry DP. Detection of Genomic Imprinting for Carcass Traits in Cattle Using Imputed High-Density Genotype Data. Front Genet 2022; 13:951087. [PMID: 35910233 PMCID: PMC9334527 DOI: 10.3389/fgene.2022.951087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 06/16/2022] [Indexed: 12/03/2022] Open
Abstract
Genomic imprinting is an epigenetic phenomenon defined as the silencing of an allele, at least partially, at a given locus based on the sex of the transmitting parent. The objective of the present study was to detect the presence of SNP-phenotype imprinting associations for carcass weight (CW), carcass conformation (CC) and carcass fat (CF) in cattle. The data used comprised carcass data, along with imputed, high-density genotype data on 618,837 single nucleotide polymorphisms (SNPs) from 23,687 cattle; all animal genotypes were phased with respect to parent of origin. Based on the phased genotypes and a series of single-locus linear models, 24, 339, and 316 SNPs demonstrated imprinting associations with CW, CC, and CF, respectively. Regardless of the trait in question, no known imprinted gene was located within 0.5 Mb of the SNPs demonstrating imprinting associations in the present study. Since all imprinting associations detected herein were at novel loci, further investigation of these regions may be warranted. Nonetheless, knowledge of these associations might be useful for improving the accuracy of genomic evaluations for these traits, as well as mate allocations systems to exploit the effects of genomic imprinting.
Collapse
Affiliation(s)
- David Kenny
- Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Co. Cork, Ireland
- Department of Biological Sciences, Munster Technological University, Bishopstown Campus, Co. Cork, Ireland
| | - Roy D. Sleator
- Department of Biological Sciences, Munster Technological University, Bishopstown Campus, Co. Cork, Ireland
| | - Craig P. Murphy
- Department of Biological Sciences, Munster Technological University, Bishopstown Campus, Co. Cork, Ireland
| | - Ross D. Evans
- Irish Cattle Breeding Federation, Highfield House, Bandon, Co. Cork, Ireland
| | - Donagh P. Berry
- Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Co. Cork, Ireland
- *Correspondence: Donagh P. Berry,
| |
Collapse
|
7
|
Akbari V, Garant JM, O'Neill K, Pandoh P, Moore R, Marra MA, Hirst M, Jones SJM. Genome-wide detection of imprinted differentially methylated regions using nanopore sequencing. eLife 2022; 11:77898. [PMID: 35787786 PMCID: PMC9255983 DOI: 10.7554/elife.77898] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 06/16/2022] [Indexed: 01/02/2023] Open
Abstract
Imprinting is a critical part of normal embryonic development in mammals, controlled by defined parent-of-origin (PofO) differentially methylated regions (DMRs) known as imprinting control regions. Direct nanopore sequencing of DNA provides a means to detect allelic methylation and to overcome the drawbacks of methylation array and short-read technologies. Here, we used publicly available nanopore sequencing data for 12 standard B-lymphocyte cell lines to acquire the genome-wide mapping of imprinted intervals in humans. Using the sequencing data, we were able to phase 95% of the human methylome and detect 94% of the previously well-characterized, imprinted DMRs. In addition, we found 42 novel imprinted DMRs (16 germline and 26 somatic), which were confirmed using whole-genome bisulfite sequencing (WGBS) data. Analysis of WGBS data in mouse (Mus musculus), rhesus monkey (Macaca mulatta), and chimpanzee (Pan troglodytes) suggested that 17 of these imprinted DMRs are conserved. Some of the novel imprinted intervals are within or close to imprinted genes without a known DMR. We also detected subtle parental methylation bias, spanning several kilobases at seven known imprinted clusters. At these blocks, hypermethylation occurs at the gene body of expressed allele(s) with mutually exclusive H3K36me3 and H3K27me3 allelic histone marks. These results expand upon our current knowledge of imprinting and the potential of nanopore sequencing to identify imprinting regions using only parent-offspring trios, as opposed to the large multi-generational pedigrees that have previously been required.
Collapse
Affiliation(s)
- Vahid Akbari
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada.,Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Jean-Michel Garant
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada
| | - Kieran O'Neill
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada
| | - Pawan Pandoh
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada
| | - Richard Moore
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada
| | - Marco A Marra
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada.,Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Martin Hirst
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada.,Department of Microbiology and Immunology, Michael Smith Laboratories, University of British Columbia, Vancouver, Canada
| | - Steven J M Jones
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada.,Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| |
Collapse
|
8
|
Kong YF, Li MK, Yuan YX, Yang ZY, Yu WY, Zhao PZ, Zhou JY. Detection of Parent-of-Origin Effects for the Variants Associated With Behavioral Disinhibition in the MCTFR Data. Front Genet 2022; 13:831685. [PMID: 35559008 PMCID: PMC9086303 DOI: 10.3389/fgene.2022.831685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
Behavioral disinhibition is one of the important characteristics of many mental diseases. It has been reported in literature that serious behavioral disinhibition will affect people's health and greatly reduce people's quality of life. Meanwhile, behavioral disinhibition can easily lead to illegal drug abuse and violent crimes, etc., which will bring great harm to the society. At present, large-scale genome-wide association analysis has identified many loci associated with behavioral disinhibition. However, these studies have not incorporated the parent-of-origin effects (POE) into analysis, which may ignore or underestimate the genetic effects of loci on behavioral disinhibition. Therefore, in this article, we analyzed the five phenotypes related to behavioral disinhibition in the Minnesota Center for Twin and Family Research data (nicotine, alcohol consumption, alcohol dependence, illicit drugs, and non-substance use related behavioral disinhibition), to further explore the POE of variants on behavioral disinhibition. We applied a linear mixed model to test for the POE at a genome-wide scale on five transformed phenotypes, and found nine SNPs with statistically significant POE at the significance level of 5 × 10-8. Among them, SNPs rs4141854, rs9394515, and rs4711553 have been reported to be associated with two neurological disorders (restless legs syndrome and Tourette's syndrome) which are related to behavioral disinhibition; SNPs rs12960235 and rs715351 have been found to be associated with head and neck squamous cell carcinoma, skin cancer and type I diabetes, while both SNPs have not been identified to be related to behavioral disinhibition in literature; SNPs rs704833, rs6837925, rs1863548, and rs11067062 are novel loci identified in this article, and their function annotations have not been reported in literature. Follow-up study in molecular genetics is needed to verify whether they are surely related to behavioral disinhibition.
Collapse
Affiliation(s)
- Yi-Fan Kong
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.,Guangdong-Hong Hong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou, China
| | - Meng-Kai Li
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.,Guangdong-Hong Hong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou, China
| | - Yu-Xin Yuan
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Zi-Ying Yang
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Wen-Yi Yu
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Pei-Zhen Zhao
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Ji-Yuan Zhou
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.,Guangdong-Hong Hong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou, China
| |
Collapse
|
9
|
Lehman NL, Spassky N, Sak M, Webb A, Zumbar CT, Usubalieva A, Alkhateeb KJ, McElroy JP, Maclean KH, Fadda P, Liu T, Gangalapudi V, Carver J, Abdullaev Z, Timmers C, Parker JR, Pierson CR, Mobley BC, Gokden M, Hattab EM, Parrett T, Cooke RX, Lehman TD, Costinean S, Parwani A, Williams BJ, Jensen RL, Aldape K, Mistry AM. Astroblastomas exhibit radial glia stem cell lineages and differential expression of imprinted and X-inactivation escape genes. Nat Commun 2022; 13:2083. [PMID: 35440587 PMCID: PMC9018799 DOI: 10.1038/s41467-022-29302-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 03/07/2022] [Indexed: 02/04/2023] Open
Abstract
Astroblastomas (ABs) are rare brain tumors of unknown origin. We performed an integrative genetic and epigenetic analysis of AB-like tumors. Here, we show that tumors traceable to neural stem/progenitor cells (radial glia) that emerge during early to later brain development occur in children and young adults, respectively. Tumors with MN1-BEND2 fusion appear to present exclusively in females and exhibit overexpression of genes expressed prior to 25 post-conception weeks (pcw), including genes enriched in early ventricular zone radial glia and ependymal tumors. Other, histologically classic ABs overexpress or harbor mutations of mitogen-activated protein kinase pathway genes, outer and truncated radial glia genes, and genes expressed after 25 pcw, including neuronal and astrocyte markers. Findings support that AB-like tumors arise in the context of epigenetic and genetic changes in neural progenitors. Selective gene fusion, variable imprinting and/or chromosome X-inactivation escape resulting in biallelic overexpression may contribute to female predominance of AB molecular subtypes.
Collapse
Affiliation(s)
- Norman L Lehman
- Department of Pathology and Laboratory Medicine, University of Louisville, Louisville, KY, 40202, USA.
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, 40202, USA.
- The Brown Cancer Center, University of Louisville, Louisville, KY, 40202, USA.
| | - Nathalie Spassky
- Institut de Biologie de l'ENS (IBENS), Inserm, CNRS, École Normale Supérieure, PSL Research University, Paris, France
| | - Müge Sak
- Department of Pathology and Laboratory Medicine, University of Louisville, Louisville, KY, 40202, USA
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, 40202, USA
| | - Amy Webb
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA
| | - Cory T Zumbar
- Department of Pathology and Laboratory Medicine, University of Louisville, Louisville, KY, 40202, USA
| | - Aisulu Usubalieva
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Khaled J Alkhateeb
- Department of Pathology and Laboratory Medicine, University of Louisville, Louisville, KY, 40202, USA
| | - Joseph P McElroy
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA
| | | | - Paolo Fadda
- Department of Cancer Biology, The Ohio State University, Columbus, OH, 43210, USA
| | - Tom Liu
- Solid Tumor Translational Science, The Ohio State University, Columbus, OH, 43210, USA
| | - Vineela Gangalapudi
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Jamie Carver
- Department of Pathology and Laboratory Medicine, University of Louisville, Louisville, KY, 40202, USA
| | - Zied Abdullaev
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Cynthia Timmers
- Solid Tumor Translational Science, The Ohio State University, Columbus, OH, 43210, USA
| | - John R Parker
- Department of Pathology and Laboratory Medicine, University of Louisville, Louisville, KY, 40202, USA
| | - Christopher R Pierson
- Department of Pathology and Laboratory Medicine, Nationwide Children's Hospital, Columbus, OH, 43205, USA
- Department of Pathology, The Ohio State University, Columbus, OH, 43210, USA
| | - Bret C Mobley
- Department of Pathology, Microbiology and Immunology, Vanderbilt University, Nashville, TN, 37232, USA
| | - Murat Gokden
- Department of Pathology and Laboratory Services, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Eyas M Hattab
- Department of Pathology and Laboratory Medicine, University of Louisville, Louisville, KY, 40202, USA
| | - Timothy Parrett
- Department of Pathology and Anatomic Sciences, University of Missouri, Columbia, MO, 65212, USA
| | - Ralph X Cooke
- Department of Pathology, The Ohio State University, Columbus, OH, 43210, USA
| | - Trang D Lehman
- Department of Family and Community Medicine, Contra Costa County Health System, Martinez, CA, 94553, USA
| | - Stefan Costinean
- Department of Pathology, Banner Gateway Medical Center, MD Anderson Cancer Center, Tempe, AZ, 85284, USA
| | - Anil Parwani
- Department of Pathology, The Ohio State University, Columbus, OH, 43210, USA
| | - Brian J Williams
- Department of Neurosurgery, University of Louisville, Louisville, KY, 40202, USA
| | - Randy L Jensen
- Department of Neurosurgery, University of Utah, Salt Lake City, UT, 84132, USA
| | - Kenneth Aldape
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Akshitkumar M Mistry
- Department of Neurological Surgery, Vanderbilt University, Nashville, TN, 37232, USA
| |
Collapse
|
10
|
Genetics and familial distribution of multiple sclerosis: A review. Rev Neurol (Paris) 2022; 178:512-520. [DOI: 10.1016/j.neurol.2021.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 09/30/2021] [Accepted: 11/04/2021] [Indexed: 11/18/2022]
|
11
|
Wang Z, Guo Y, Liu S, Meng Q. Genome-Wide Assessment Characteristics of Genes Overlapping Copy Number Variation Regions in Duroc Purebred Population. Front Genet 2021; 12:753748. [PMID: 34721540 PMCID: PMC8552909 DOI: 10.3389/fgene.2021.753748] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 09/23/2021] [Indexed: 11/13/2022] Open
Abstract
Copy number variations (CNVs) are important structural variations that can cause significant phenotypic diversity. Reliable CNVs mapping can be achieved by identification of CNVs from different genetic backgrounds. Investigations on the characteristics of overlapping between CNV regions (CNVRs) and protein-coding genes (CNV genes) or miRNAs (CNV-miRNAs) can reveal the potential mechanisms of their regulation. In this study, we used 50 K SNP arrays to detect CNVs in Duroc purebred pig. A total number of 211 CNVRs were detected with a total length of 118.48 Mb, accounting for 5.23% of the autosomal genome sequence. Of these CNVRs, 32 were gains, 175 losses, and four contained both types (loss and gain within the same region). The CNVRs we detected were non-randomly distributed in the swine genome and were significantly enriched in the segmental duplication and gene density region. Additionally, these CNVRs were overlapping with 1,096 protein-coding genes (CNV-genes), and 39 miRNAs (CNV-miRNAs), respectively. The CNV-genes were enriched in terms of dosage-sensitive gene list. The expression of the CNV genes was significantly higher than that of the non-CNV genes in the adult Duroc prostate. Of all detected CNV genes, 22.99% genes were tissue-specific (TSI > 0.9). Strong negative selection had been underway in the CNV-genes as the ones that were located entirely within the loss CNVRs appeared to be evolving rapidly as determined by the median dN plus dS values. Non-CNV genes tended to be miRNA target than CNV-genes. Furthermore, CNV-miRNAs tended to target more genes compared to non-CNV-miRNAs, and a combination of two CNV-miRNAs preferentially synergistically regulated the same target genes. We also focused our efforts on examining CNV genes and CNV-miRNAs functions, which were also involved in the lipid metabolism, including DGAT1, DGAT2, MOGAT2, miR143, miR335, and miRLET7. Further molecular experiments and independent large studies are needed to confirm our findings.
Collapse
Affiliation(s)
- Zhipeng Wang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Bioinformatics Center, Northeast Agricultural University, Harbin, China
| | - Yuanyuan Guo
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Bioinformatics Center, Northeast Agricultural University, Harbin, China
| | - Shengwei Liu
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Bioinformatics Center, Northeast Agricultural University, Harbin, China
| | - Qingli Meng
- Beijing Breeding Swine Center, Beijing, China
| |
Collapse
|
12
|
Wohler E, Martin R, Griffith S, Rodrigues EDS, Antonescu C, Posey JE, Coban-Akdemir Z, Jhangiani SN, Doheny KF, Lupski JR, Valle D, Hamosh A, Sobreira N. PhenoDB, GeneMatcher and VariantMatcher, tools for analysis and sharing of sequence data. Orphanet J Rare Dis 2021; 16:365. [PMID: 34407837 PMCID: PMC8371856 DOI: 10.1186/s13023-021-01916-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 06/13/2021] [Indexed: 12/02/2022] Open
Abstract
Background With the advent of whole exome (ES) and genome sequencing (GS) as tools for disease gene discovery, rare variant filtering, prioritization and data sharing have become essential components of the search for disease genes and variants potentially contributing to disease phenotypes. The computational storage, data manipulation, and bioinformatic interpretation of thousands to millions of variants identified in ES and GS, respectively, is a challenging task. To aid in that endeavor, we constructed PhenoDB, GeneMatcher and VariantMatcher. Results PhenoDB is an accessible, freely available, web-based platform that allows users to store, share, analyze and interpret their patients’ phenotypes and variants from ES/GS data. GeneMatcher is accessible to all stakeholders as a web-based tool developed to connect individuals (researchers, clinicians, health care providers and patients) around the globe with interest in the same gene(s), variant(s) or phenotype(s). Finally, VariantMatcher was developed to enable public sharing of variant-level data and phenotypic information from individuals sequenced as part of multiple disease gene discovery projects. Here we provide updates on PhenoDB and GeneMatcher applications and implementation and introduce VariantMatcher. Conclusion Each of these tools has facilitated worldwide data sharing and data analysis and improved our ability to connect genes to phenotypic traits. Further development of these platforms will expand variant analysis, interpretation, novel disease-gene discovery and facilitate functional annotation of the human genome for clinical genomics implementation and the precision medicine initiative. Supplementary Information The online version contains supplementary material available at 10.1186/s13023-021-01916-z.
Collapse
Affiliation(s)
- Elizabeth Wohler
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Renan Martin
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sean Griffith
- Center for Inherited Disease Research - CIDR, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Eliete da S Rodrigues
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Corina Antonescu
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jennifer E Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Zeynep Coban-Akdemir
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Shalini N Jhangiani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Kimberly F Doheny
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Center for Inherited Disease Research - CIDR, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.,Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.,Texas Children's Hospital, Houston, TX, USA
| | - David Valle
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ada Hamosh
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nara Sobreira
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| |
Collapse
|
13
|
Loss of ZNF215 imprinting is associated with poor five-year survival in patients with cytogenetically abnormal-acute myeloid leukemia. Blood Cells Mol Dis 2021; 90:102577. [PMID: 34091126 DOI: 10.1016/j.bcmd.2021.102577] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 05/23/2021] [Accepted: 05/23/2021] [Indexed: 01/05/2023]
Abstract
Genomic imprinting is a form of epigenetic regulation and imprinted genes are silenced in a parental-specific manner. Imprinting is associated with various human diseases and cancers, but its roles in leukemogenesis remains elusive. In this study, the expression of a panel of 16 human imprinted genes was investigated using real-time quantitative polymerase chain reaction and 8 of them were further validated in 114 patients newly diagnosed with cytogenetically abnormal-acute myeloid leukemia (CA-AML) and 85 healthy subjects. Our results demonstrated upregulated expression of 8 imprinted genes (C15orf2, COPG2, H19, IGF2, PEG3-AS1, PRIM2, SLC22A3 and ZNF215) was observed in patients with CA-AML (p < 0.001). Patients' survival days were negatively correlated with the expression levels of H19 (p = 0.024), PGE3-AS1 (p = 0.038), and ZNF215 (p = 0.012). Multivariate logistic regression analysis further revealed the expression level ZNF215 can be used as a predictor for five-year survival for patients with CA-AML (p = 0.009) with a hazard ratio of 0.870 (95.0% confident interval: 0.784-0.965). Our results demonstrated that loss of imprinting of imprinted genes is critical for the leukemogenesis of AML under CA condition, and loss of ZNF215 imprinting is associated with poor five-year survival of patients with CA-AML.
Collapse
|
14
|
|
15
|
Rousseaux S, Seyve E, Chuffart F, Bourova-Flin E, Benmerad M, Charles MA, Forhan A, Heude B, Siroux V, Slama R, Tost J, Vaiman D, Khochbin S, Lepeule J. Immediate and durable effects of maternal tobacco consumption alter placental DNA methylation in enhancer and imprinted gene-containing regions. BMC Med 2020; 18:306. [PMID: 33023569 PMCID: PMC7542140 DOI: 10.1186/s12916-020-01736-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 08/06/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Although exposure to cigarette smoking during pregnancy has been associated with alterations of DNA methylation in the cord blood or placental cells, whether such exposure before pregnancy could induce epigenetic alterations in the placenta of former smokers has never been investigated. METHODS Our approach combined the analysis of placenta epigenomic (ENCODE) data with newly generated DNA methylation data obtained from 568 pregnant women, the largest cohort to date, either actively smoking during their pregnancy or formerly exposed to tobacco smoking. RESULTS This strategy resulted in several major findings. First, among the 203 differentially methylated regions (DMRs) identified by the epigenome-wide association study, 152 showed "reversible" alterations of DNA methylation, only present in the placenta of current smokers, whereas 26 were also found altered in former smokers, whose placenta had not been exposed directly to cigarette smoking. Although the absolute methylation changes were smaller than those observed in other contexts, such as in some congenital diseases, the observed alterations were consistent within each DMR. This observation was further supported by a demethylation of LINE-1 sequences in the placentas of both current (beta-coefficient (β) (95% confidence interval (CI)), - 0.004 (- 0.008; 0.001)) and former smokers (β (95% CI), - 0.006 (- 0.011; - 0.001)) compared to nonsmokers. Second, the 203 DMRs were enriched in epigenetic marks corresponding to enhancer regions, including monomethylation of lysine 4 and acetylation of lysine 27 of histone H3 (respectively H3K4me1 and H3K27ac). Third, smoking-associated DMRs were also found near and/or overlapping 10 imprinted genes containing regions (corresponding to 16 genes), notably including the NNAT, SGCE/PEG10, and H19/MIR675 loci. CONCLUSIONS Our results pointing towards genomic regions containing the imprinted genes as well as enhancers as preferential targets suggest mechanisms by which tobacco could directly impact the fetus and future child. The persistence of significant DNA methylation changes in the placenta of former smokers supports the hypothesis of an "epigenetic memory" of exposure to cigarette smoking before pregnancy. This observation not only is conceptually revolutionary, but these results also bring crucial information in terms of public health concerning potential long-term detrimental effects of smoking in women.
Collapse
Affiliation(s)
- Sophie Rousseaux
- Université Grenoble Alpes, Inserm, CNRS, IAB, 38000, Grenoble, France
| | - Emie Seyve
- Université Grenoble Alpes, Inserm, CNRS, IAB, 38000, Grenoble, France
| | - Florent Chuffart
- Université Grenoble Alpes, Inserm, CNRS, IAB, 38000, Grenoble, France
| | | | - Meriem Benmerad
- Université Grenoble Alpes, Inserm, CNRS, IAB, 38000, Grenoble, France
| | - Marie-Aline Charles
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | - Anne Forhan
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | - Valérie Siroux
- Université Grenoble Alpes, Inserm, CNRS, IAB, 38000, Grenoble, France
| | - Remy Slama
- Université Grenoble Alpes, Inserm, CNRS, IAB, 38000, Grenoble, France
| | - Jorg Tost
- Laboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, CEA - Institut de Biologie François Jacob, Evry, France
| | - Daniel Vaiman
- Genomics, Epigenetics and Physiopathology of Reproduction, Institut Cochin, U1016 Inserm - UMR 8104 CNRS - Paris-Descartes University, Paris, France
| | - Saadi Khochbin
- Université Grenoble Alpes, Inserm, CNRS, IAB, 38000, Grenoble, France
| | - Johanna Lepeule
- Université Grenoble Alpes, Inserm, CNRS, IAB, 38000, Grenoble, France.
| | | |
Collapse
|
16
|
Liang ZS, Cimino I, Yalcin B, Raghupathy N, Vancollie VE, Ibarra-Soria X, Firth HV, Rimmington D, Farooqi IS, Lelliott CJ, Munger SC, O’Rahilly S, Ferguson-Smith AC, Coll AP, Logan DW. Trappc9 deficiency causes parent-of-origin dependent microcephaly and obesity. PLoS Genet 2020; 16:e1008916. [PMID: 32877400 PMCID: PMC7467316 DOI: 10.1371/journal.pgen.1008916] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 06/08/2020] [Indexed: 11/30/2022] Open
Abstract
Some imprinted genes exhibit parental origin specific expression bias rather than being transcribed exclusively from one copy. The physiological relevance of this remains poorly understood. In an analysis of brain-specific allele-biased expression, we identified that Trappc9, a cellular trafficking factor, was expressed predominantly (~70%) from the maternally inherited allele. Loss-of-function mutations in human TRAPPC9 cause a rare neurodevelopmental syndrome characterized by microcephaly and obesity. By studying Trappc9 null mice we discovered that homozygous mutant mice showed a reduction in brain size, exploratory activity and social memory, as well as a marked increase in body weight. A role for Trappc9 in energy balance was further supported by increased ad libitum food intake in a child with TRAPPC9 deficiency. Strikingly, heterozygous mice lacking the maternal allele (70% reduced expression) had pathology similar to homozygous mutants, whereas mice lacking the paternal allele (30% reduction) were phenotypically normal. Taken together, we conclude that Trappc9 deficient mice recapitulate key pathological features of TRAPPC9 mutations in humans and identify a role for Trappc9 and its imprinting in controlling brain development and metabolism.
Collapse
Affiliation(s)
- Zhengzheng S. Liang
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Irene Cimino
- MRC Metabolic Diseases Unit, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - Binnaz Yalcin
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale, Université de Strasbourg, France
| | | | | | - Ximena Ibarra-Soria
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Helen V. Firth
- Department of Clinical Genetics, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - Debra Rimmington
- MRC Metabolic Diseases Unit, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - I. Sadaf Farooqi
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, United Kingdom
| | | | - Steven C. Munger
- The Jackson Laboratory, Bar Harbor, Maine, United States of America
| | - Stephen O’Rahilly
- MRC Metabolic Diseases Unit, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | | | - Anthony P. Coll
- MRC Metabolic Diseases Unit, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - Darren W. Logan
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| |
Collapse
|
17
|
Hitchcock TJ, Paracchini S, Gardner A. Genomic Imprinting As a Window into Human Language Evolution. Bioessays 2020; 41:e1800212. [PMID: 31132171 DOI: 10.1002/bies.201800212] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 03/22/2019] [Indexed: 01/20/2023]
Abstract
Humans spend large portions of their time and energy talking to one another, yet it remains unclear whether this activity is primarily selfish or altruistic. Here, it is shown how parent-of-origin specific gene expression-or "genomic imprinting"-may provide an answer to this question. First, it is shown why, regarding language, only altruistic or selfish scenarios are expected. Second, it is pointed out that an individual's maternal-origin and paternal-origin genes may have different evolutionary interests regarding investment into language, and that this intragenomic conflict may drive genomic imprinting which-as the direction of imprint depends upon whether investment into language is relatively selfish or altruistic-may be used to discriminate between these two possibilities. Third, predictions concerning the impact of various mutations and epimutations at imprinted loci on language pathologies are derived. In doing so, a framework is developed that highlights avenues for using intragenomic conflicts to investigate the evolutionary drivers of language.
Collapse
Affiliation(s)
- Thomas J Hitchcock
- School of Biology, University of St Andrews, Dyers Brae, St Andrews, KY16 9TH, UK
| | - Silvia Paracchini
- School of Medicine, University of St Andrews, North Haugh, St Andrews, KY16 9TF, UK
| | - Andy Gardner
- School of Biology, University of St Andrews, Dyers Brae, St Andrews, KY16 9TH, UK
| |
Collapse
|
18
|
Ben Maamar M, King SE, Nilsson E, Beck D, Skinner MK. Epigenetic transgenerational inheritance of parent-of-origin allelic transmission of outcross pathology and sperm epimutations. Dev Biol 2019; 458:106-119. [PMID: 31682807 PMCID: PMC6987017 DOI: 10.1016/j.ydbio.2019.10.030] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 09/25/2019] [Accepted: 10/29/2019] [Indexed: 12/11/2022]
Abstract
Epigenetic transgenerational inheritance potentially impacts disease etiology, phenotypic variation, and evolution. An increasing number of environmental factors from nutrition to toxicants have been shown to promote the epigenetic transgenerational inheritance of disease. Previous observations have demonstrated that the agricultural fungicide vinclozolin and pesticide DDT (dichlorodiphenyltrichloroethane) induce transgenerational sperm epimutations involving DNA methylation, ncRNA, and histone modifications or retention. These two environmental toxicants were used to investigate the impacts of parent-of-origin outcross on the epigenetic transgenerational inheritance of disease. Male and female rats were collected from a paternal outcross (POC) or a maternal outcross (MOC) F4 generation control and exposure lineages for pathology and epigenetic analysis. This model allows the parental allelic transmission of disease and epimutations to be investigated. There was increased pathology incidence in the MOC F4 generation male prostate, kidney, obesity, and multiple diseases through a maternal allelic transmission. The POC F4 generation female offspring had increased pathology incidence for kidney, obesity and multiple types of diseases through the paternal allelic transmission. Some disease such as testis or ovarian pathology appear to be transmitted through the combined actions of both male and female alleles. Analysis of the F4 generation sperm epigenomes identified differential DNA methylated regions (DMRs) in a genome-wide analysis. Observations demonstrate that DDT and vinclozolin have the potential to promote the epigenetic transgenerational inheritance of disease and sperm epimutations to the outcross F4 generation in a sex specific and exposure specific manner. The parent-of-origin allelic transmission observed appears similar to the process involved with imprinted-like genes.
Collapse
Affiliation(s)
- Millissia Ben Maamar
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, 99164-4236, USA
| | - Stephanie E King
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, 99164-4236, USA
| | - Eric Nilsson
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, 99164-4236, USA
| | - Daniel Beck
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, 99164-4236, USA
| | - Michael K Skinner
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, 99164-4236, USA.
| |
Collapse
|
19
|
Abstract
Large offspring syndrome (LOS) is a fetal overgrowth condition in bovines most often observed in offspring conceived with the use of assisted reproductive technologies (ART). Phenotypes observed in LOS include, overgrowth, enlarged tongues, umbilical hernias, muscle and skeleton malformations, abnormal organ growth and placental development. Although LOS cases have only been reported to be associated with ART, fetal overgrowth can occur spontaneously in cattle (S-LOS). S-LOS refers to oversized calves that are born at normal gestation lengths. ART-induced LOS has been characterized as an epigenetic syndrome, more specifically, a loss-of-imprinting condition. We propose that S-LOS is also a loss-of-imprinting condition.
Collapse
|
20
|
Lau PY, Yeung KF, Zhou JY, Fung WK. Two Powerful Tests for Parent-of-Origin Effects at Quantitative Trait Loci on the X Chromosome. Hum Hered 2019; 83:250-273. [PMID: 30959502 DOI: 10.1159/000496987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 01/14/2019] [Indexed: 11/19/2022] Open
Abstract
Parent-of-origin effects, which describe an occurrence where the expression of a gene depends on its parental origin, are an important phenomenon in epigenetics. Statistical methods for detecting parent-of-origin effects on autosomes have been investigated for 20 years, but the development of statistical methods for detecting parent-of-origin effects on the X chromosome is relatively new. In the literature, a class of Q-XPAT-type tests are the only tests for the parent-of-origin effects for quantitative traits on the X chromosome. In this paper, we propose two simple and powerful classes of tests to detect parent-of-origin effects for quantitative trait values on the X chromosome. The proposed tests can accommodate complete and incomplete nuclear families with any number of daughters. The simulation study shows that our proposed tests produce empirical type I error rates that are close to their respective nominal levels, as well as powers that are larger than those of the Q-XPAT-type tests. The proposed tests are applied to a real data set on Turner's syndrome, and the proposed tests give a more significant finding than the Q-C-XPAT test.
Collapse
Affiliation(s)
- Pui Yin Lau
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong SAR, China
| | - Kar Fu Yeung
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong SAR, China
| | - Ji-Yuan Zhou
- State Key Laboratory of Organ Failure Research, Ministry of Education, Guangzhou, China.,Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - Wing Kam Fung
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong SAR, China,
| |
Collapse
|
21
|
Insights into imprinting from parent-of-origin phased methylomes and transcriptomes. Nat Genet 2018; 50:1542-1552. [PMID: 30349119 DOI: 10.1038/s41588-018-0232-7] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Accepted: 08/08/2018] [Indexed: 01/23/2023]
Abstract
Imprinting is the preferential expression of one parental allele over the other. It is controlled primarily through differential methylation of cytosine at CpG dinucleotides. Here we combine 285 methylomes and 11,617 transcriptomes from peripheral blood samples with parent-of-origin phased haplotypes, to produce a new map of imprinted methylation and gene expression patterns across the human genome. We demonstrate how imprinted methylation is a continuous rather than a binary characteristic. We describe at high resolution the parent-of-origin methylation pattern at the 15q11.2 Prader-Willi/Angelman syndrome locus, with nearly confluent stochastic paternal methylation punctuated by 'spikes' of maternal methylation. We find examples of polymorphic imprinted methylation unrelated (at VTRNA2-1 and PARD6G) or related (at CHRNE) to nearby SNP genotypes. We observe RNA isoform-specific imprinted expression patterns suggestive of a methylation-sensitive transcriptional elongation block. Finally, we gain new insights into parent-of-origin-specific effects on phenotypes at the DLK1/MEG3 and GNAS loci.
Collapse
|
22
|
Duan J(E, Zhang M, Flock K, Seesi SA, Mandoiu I, Jones A, Johnson E, Pillai S, Hoffman M, McFadden K, Jiang H, Reed S, Govoni K, Zinn S, Jiang Z, Tian X(C. Effects of maternal nutrition on the expression of genomic imprinted genes in ovine fetuses. Epigenetics 2018; 13:793-807. [PMID: 30051747 PMCID: PMC6224220 DOI: 10.1080/15592294.2018.1503489] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 07/04/2018] [Accepted: 07/15/2018] [Indexed: 12/27/2022] Open
Abstract
Genomic imprinting is an epigenetic phenomenon of differential allelic expression based on parental origin. To date, 263 imprinted genes have been identified among all investigated mammalian species. However, only 21 have been described in sheep, of which 11 are annotated in the current ovine genome. Here, we aim to i) use DNA/RNA high throughput sequencing to identify new monoallelically expressed and imprinted genes in day 135 ovine fetuses and ii) determine whether maternal diet (100%, 60%, or 140% of National Research Council Total Digestible Nutrients) influences expression of imprinted genes. We also reported strategies to solve technical challenges in the data analysis pipeline. We identified 80 monoallelically expressed, 13 new putative imprinted genes, and five known imprinted genes in sheep using the 263 genes stated above as a guide. Sanger sequencing confirmed allelic expression of seven genes, CASD1, COPG2, DIRAS3, INPP5F, PLAGL1, PPP1R9A, and SLC22A18. Among the 13 putative imprinted genes, five were localized in the known sheep imprinting domains of MEST on chromosome 4, DLK1/GTL2 on chromosome 18 and KCNQ1 on chromosome 21, and three were in a novel sheep imprinted cluster on chromosome 4, known in other species as PEG10/SGCE. The expression of DIRAS3, IGF2, PHLDA2, and SLC22A18 was altered by maternal diet, albeit without allelic expression reversal. Together, our results expanded the list of sheep imprinted genes to 34 and demonstrated that while the expression levels of four imprinted genes were changed by maternal diet, the allelic expression patterns were un-changed for all imprinted genes studied.
Collapse
Affiliation(s)
| | - Mingyuan Zhang
- Department of Animal Science, University of Connecticut, Storrs, CT, USA
- College of Animal Science and Technology, Guangxi University, Nanning, China
| | - Kaleigh Flock
- Department of Animal Science, University of Connecticut, Storrs, CT, USA
| | - Sahar Al Seesi
- Department of Computer Science, University of Connecticut, Storrs, CT, USA
| | - Ion Mandoiu
- Department of Computer Science, University of Connecticut, Storrs, CT, USA
| | - Amanda Jones
- Department of Animal Science, University of Connecticut, Storrs, CT, USA
| | - Elizabeth Johnson
- Department of Animal Science, University of Connecticut, Storrs, CT, USA
| | - Sambhu Pillai
- Department of Animal Science, University of Connecticut, Storrs, CT, USA
| | - Maria Hoffman
- Department of Animal Science, University of Connecticut, Storrs, CT, USA
| | - Katelyn McFadden
- Department of Animal Science, University of Connecticut, Storrs, CT, USA
| | - Hesheng Jiang
- College of Animal Science and Technology, Guangxi University, Nanning, China
| | - Sarah Reed
- Department of Animal Science, University of Connecticut, Storrs, CT, USA
| | - Kristen Govoni
- Department of Animal Science, University of Connecticut, Storrs, CT, USA
| | - Steve Zinn
- Department of Animal Science, University of Connecticut, Storrs, CT, USA
| | - Zongliang Jiang
- School of Animal Science, Louisiana State University Agricultural Center, Baton Rouge, LA, USA
| | | |
Collapse
|
23
|
Cuellar Partida G, Laurin C, Ring SM, Gaunt TR, McRae AF, Visscher PM, Montgomery GW, Martin NG, Hemani G, Suderman M, Relton CL, Davey Smith G, Evans DM. Genome-wide survey of parent-of-origin effects on DNA methylation identifies candidate imprinted loci in humans. Hum Mol Genet 2018; 27:2927-2939. [PMID: 29860447 PMCID: PMC6077796 DOI: 10.1093/hmg/ddy206] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 05/23/2018] [Indexed: 12/14/2022] Open
Abstract
Genomic imprinting is an epigenetic mechanism leading to parent-of-origin silencing of alleles. So far, the precise number of imprinted regions in humans is uncertain. In this study, we leveraged genome-wide DNA methylation in whole blood measured longitudinally at three time points (birth, childhood and adolescence) and genome-wide association studies (GWAS) data in 740 mother-child duos from the Avon Longitudinal Study of parents and children to identify candidate imprinted loci. We reasoned that cis-meQTLs at genomic regions that were imprinted would show strong evidence of parent-of-origin associations with DNA methylation, enabling the detection of imprinted regions. Using this approach, we identified genome-wide significant cis-meQTLs that exhibited parent-of-origin effects (POEs) at 82 loci, 34 novel and 48 regions previously implicated in imprinting (3.7-10<P < 10-300). Using an independent dataset from the Brisbane Systems Genetic Study, we replicated 76 out of the 82 identified loci. POEs were remarkably consistent across time points and were so strong at some loci that methylation levels enabled good discrimination of parental transmissions at these and surrounding genomic regions. The implication is that parental allelic transmissions could be modelled at many imprinted (and linked) loci in GWAS of unrelated individuals given a combination of genetic and methylation data. Novel regions showing parent of origin effects on methylation will require replication using a different technology and further functional experiments to confirm that such effects arise through a genomic imprinting mechanism.
Collapse
Affiliation(s)
- Gabriel Cuellar Partida
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD, Australia
| | - Charles Laurin
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Susan M Ring
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tom R Gaunt
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Allan F McRae
- The Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Peter M Visscher
- The Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.,Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - Grant W Montgomery
- The Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.,Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | | | - Gibran Hemani
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew Suderman
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Caroline L Relton
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - George Davey Smith
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - David M Evans
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD, Australia.,Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| |
Collapse
|
24
|
Choi NY, Bang JS, Lee HJ, Park YS, Lee M, Jeong D, Ko K, Han DW, Chung HM, Kim GJ, Shim SH, Hwang HS, Ko K. Novel imprinted single CpG sites found by global DNA methylation analysis in human parthenogenetic induced pluripotent stem cells. Epigenetics 2018; 13:343-351. [PMID: 29613829 DOI: 10.1080/15592294.2018.1460033] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Genomic imprinting is the process of epigenetic modification whereby genes are expressed in a parent-of-origin dependent manner; it plays an important role in normal growth and development. Parthenogenetic embryos contain only the maternal genome. Parthenogenetic embryonic stem cells could be useful for studying imprinted genes. In humans, mature cystic ovarian teratomas originate from parthenogenetic activation of oocytes; they are composed of highly differentiated mature tissues containing all three germ layers. To establish human parthenogenetic induced pluripotent stem cell lines (PgHiPSCs), we generated parthenogenetic fibroblasts from ovarian teratoma tissues. We compared global DNA methylation status of PgHiPSCs with that of biparental human induced pluripotent stem cells by using Illumina Infinium HumanMethylation450 BeadChip array. This analysis identified novel single imprinted CpG sites. We further tested DNA methylation patterns of two of these sites using bisulfite sequencing and described novel candidate imprinted CpG sites. These results confirm that PgHiPSCs are a powerful tool for identifying imprinted genes and investigating their roles in human development and diseases.
Collapse
Affiliation(s)
- Na Young Choi
- a Department of Stem Cell Biology, School of Medicine , Konkuk University , Seoul 05029 , Korea.,b Center for Stem Cell Research , Institute of Advanced Biomedical Science, Konkuk University , Seoul 05029 , Korea
| | - Jin Seok Bang
- a Department of Stem Cell Biology, School of Medicine , Konkuk University , Seoul 05029 , Korea.,b Center for Stem Cell Research , Institute of Advanced Biomedical Science, Konkuk University , Seoul 05029 , Korea
| | - Hye Jeong Lee
- a Department of Stem Cell Biology, School of Medicine , Konkuk University , Seoul 05029 , Korea.,b Center for Stem Cell Research , Institute of Advanced Biomedical Science, Konkuk University , Seoul 05029 , Korea
| | - Yo Seph Park
- a Department of Stem Cell Biology, School of Medicine , Konkuk University , Seoul 05029 , Korea.,b Center for Stem Cell Research , Institute of Advanced Biomedical Science, Konkuk University , Seoul 05029 , Korea
| | - Minseong Lee
- a Department of Stem Cell Biology, School of Medicine , Konkuk University , Seoul 05029 , Korea.,b Center for Stem Cell Research , Institute of Advanced Biomedical Science, Konkuk University , Seoul 05029 , Korea
| | - Dahee Jeong
- a Department of Stem Cell Biology, School of Medicine , Konkuk University , Seoul 05029 , Korea.,b Center for Stem Cell Research , Institute of Advanced Biomedical Science, Konkuk University , Seoul 05029 , Korea
| | - Kisung Ko
- c Department of Medicine, College of Medicine , Chung-Ang University , Seoul 06974 , Korea
| | - Dong Wook Han
- a Department of Stem Cell Biology, School of Medicine , Konkuk University , Seoul 05029 , Korea.,d KU Open-Innovation Center , Institute of Biomedical Science and Technology, Konkuk University , Seoul 05029 , Korea
| | - Hyung-Min Chung
- a Department of Stem Cell Biology, School of Medicine , Konkuk University , Seoul 05029 , Korea
| | - Gwang Jun Kim
- e Department of Pediatrics, College of Medicine , Chung-Ang University , Seoul 06973 , Korea
| | - Seung-Hyuk Shim
- f Department of Obstetrics and Gynecology , School of Medicine, Konkuk University , Seoul 05030 , Korea
| | - Han Sung Hwang
- f Department of Obstetrics and Gynecology , School of Medicine, Konkuk University , Seoul 05030 , Korea
| | - Kinarm Ko
- a Department of Stem Cell Biology, School of Medicine , Konkuk University , Seoul 05029 , Korea.,b Center for Stem Cell Research , Institute of Advanced Biomedical Science, Konkuk University , Seoul 05029 , Korea.,d KU Open-Innovation Center , Institute of Biomedical Science and Technology, Konkuk University , Seoul 05029 , Korea.,g Research Institute of Medical Science , Konkuk University , Seoul 05029 , Korea
| |
Collapse
|
25
|
Identification of potential regulatory mutations using multi-omics analysis and haplotyping of lung adenocarcinoma cell lines. Sci Rep 2018; 8:4926. [PMID: 29563587 PMCID: PMC5862974 DOI: 10.1038/s41598-018-23342-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Accepted: 03/09/2018] [Indexed: 12/20/2022] Open
Abstract
The functional relevancy of mutations occurring in the regulatory regions in cancers remains mostly elusive. Here, we identified and analyzed regulatory mutations having transcriptional consequences in lung adenocarcinoma-derived cell lines. We phased the mutations in the regulatory regions to the downstream heterozygous SNPs in the coding regions and examined whether the ChIP-Seq variant tags of the regulatory SNVs and the RNA-Seq variant tags of their target transcripts showed biased frequency between the mutant and reference alleles. We identified 137 potential regulatory mutations affecting the transcriptional regulation of 146 RefSeq transcripts with at least 84 SNVs that create and/or disrupt potential transcription factor binding sites. For example, in the regulatory region of NFATC1 gene, a novel and active binding site for the ETS transcription factor family was created. Further examination revealed that 31 of these disruptions were presented in clinical lung adenocarcinoma samples and were associated with prognosis of patients.
Collapse
|
26
|
Richer W, Masliah-Planchon J, Clement N, Jimenez I, Maillot L, Gentien D, Albaud B, Chemlali W, Galant C, Larousserie F, Boudou-Rouquette P, Leruste A, Chauvin C, Han ZY, Coindre JM, Varlet P, Freneaux P, Ranchère-Vince D, Delattre O, Bourdeaut F. Embryonic signature distinguishes pediatric and adult rhabdoid tumors from other SMARCB1-deficient cancers. Oncotarget 2018; 8:34245-34257. [PMID: 28427232 PMCID: PMC5470964 DOI: 10.18632/oncotarget.15939] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Accepted: 02/22/2017] [Indexed: 01/25/2023] Open
Abstract
Extra-cranial rhabdoid tumors (RT) are highly aggressive malignancies of infancy, characterized by undifferentiated histological features and loss of SMARCB1 expression. The diagnosis is all the more challenging that other poorly differentiated cancers lose SMARCB1 expression, such as epithelioid sarcomas (ES), renal medullary carcinomas (RMC) or undifferentiated chordomas (UC). Moreover, late cases occurring in adults are now increasingly reported, raising the question of differential diagnoses and emphasizing nosological issues. To address this issue, we have analyzed the expression profiles of a training set of 32 SMARCB1-deficient tumors (SDT), with ascertained diagnosis of RT (n = 16, all < 5 years of age), ES (n = 8, all > 10 years of age), UC (n = 3) and RMC (n = 5). As compared with other SDT, RT are characterized by an embryonic signature, and up-regulation of key-actors of de novo DNA methylation processes. Using this signature, we then analysed the expression profiling of 37 SDT to infer the appropriate diagnosis. Thirteen adult onset tumors showed strong similarity with pediatric RT, in spite of older age; by exome sequencing, these tumors also showed genomic features indistinguishable from pediatric RT. In contrary, 8 tumors were reclassified within carcinoma, ES or UC categories, while the remaining could not be related to any of those entities. Our results demonstrate that embryonic signature is shared by all RT, whatever the age at diagnosis; they also illustrate that many adult-onset SDT of ambiguous histological diagnosis are clearly different from RT. Finally, our study paves the way for the routine use of expression-based signatures to give accurate diagnosis of SDT.
Collapse
Affiliation(s)
- Wilfrid Richer
- Paris-Sciences-Lettres, Institut Curie Research Center, INSERMU830 & SiRIC, Laboratory of Translational Research in Pediatric Oncology, 75248 Paris Cedex 5, France
| | - Julien Masliah-Planchon
- Paris-Sciences-Lettres, Institut Curie Hospital, Laboratory of Somatic Genetics, 75248 Paris Cedex 5, France
| | - Nathalie Clement
- Paris-Sciences-Lettres, Institut Curie Research Center, INSERMU830 & SiRIC, Laboratory of Translational Research in Pediatric Oncology, 75248 Paris Cedex 5, France
| | - Irene Jimenez
- Paris-Sciences-Lettres, Institut Curie Research Center, INSERMU830 & SiRIC, Laboratory of Translational Research in Pediatric Oncology, 75248 Paris Cedex 5, France.,Paris-Sciences-Lettres, Institut Curie Hospital, Department of Pediatric Oncology- Adolescents and Young Adults, 75248 Paris Cedex 5, France
| | - Laetitia Maillot
- Paris-Sciences-Lettres, Institut Curie Hospital, Laboratory of Somatic Genetics, 75248 Paris Cedex 5, France
| | - David Gentien
- Paris-Sciences-Lettres, Institut Curie Research Center, Department of Translational Research, Genomic Platform, 75248 Paris Cedex 5, France
| | - Benoît Albaud
- Paris-Sciences-Lettres, Institut Curie Research Center, Department of Translational Research, Genomic Platform, 75248 Paris Cedex 5, France
| | - Walid Chemlali
- Paris-Sciences-Lettres, Institut Curie Hospital, Laboratory of Somatic Genetics, 75248 Paris Cedex 5, France
| | - Christine Galant
- University Hospital of Leuven, Department of Pathology, 10-1200 Brussel-Belgium
| | - Frederique Larousserie
- Cochin University Hospital, Universite Rene Descartes, Sorbonne Paris Cite, Assistance Publique Hôpitaux de Paris, Department of Pathology, 75014 Paris, France
| | - Pascaline Boudou-Rouquette
- Cochin University Hospital, Assistance Publique Hôpitaux de Paris, Department of Oncology, 75014 Paris, France
| | - Amaury Leruste
- Paris-Sciences-Lettres, Institut Curie Research Center, INSERMU830 & SiRIC, Laboratory of Translational Research in Pediatric Oncology, 75248 Paris Cedex 5, France
| | - Celine Chauvin
- Paris-Sciences-Lettres, Institut Curie Research Center, INSERMU830 & SiRIC, Laboratory of Translational Research in Pediatric Oncology, 75248 Paris Cedex 5, France
| | - Zhi Yan Han
- Paris-Sciences-Lettres, Institut Curie Research Center, INSERMU830 & SiRIC, Laboratory of Translational Research in Pediatric Oncology, 75248 Paris Cedex 5, France
| | | | | | - Paul Freneaux
- Paris-Sciences-Lettres, Institut Curie Hospital, Department of Pathology, 75248 Paris Cedex 5, France
| | | | - Olivier Delattre
- Paris-Sciences-Lettres, Institut Curie Research Center, INSERMU830 & SiRIC, Laboratory of Translational Research in Pediatric Oncology, 75248 Paris Cedex 5, France.,Paris-Sciences-Lettres, Institut Curie Hospital, Laboratory of Somatic Genetics, 75248 Paris Cedex 5, France
| | - Franck Bourdeaut
- Paris-Sciences-Lettres, Institut Curie Research Center, INSERMU830 & SiRIC, Laboratory of Translational Research in Pediatric Oncology, 75248 Paris Cedex 5, France.,Paris-Sciences-Lettres, Institut Curie Hospital, Department of Pediatric Oncology- Adolescents and Young Adults, 75248 Paris Cedex 5, France
| |
Collapse
|
27
|
Yu K, Zhou JY, Fung WK. Detection of Imprinting Effects for Quantitative Traits on X Chromosome Using Nuclear Families with Multiple Daughters. Ann Hum Genet 2018. [PMID: 28620992 DOI: 10.1111/ahg.12195] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Genomic imprinting is an epigenetic phenomenon in which the expression of an allele copy depends on its parental origin. This mechanism has been found to play an important role in many complex diseases. Statistical tests for imprinting effects have been developed for more than 15 years, but they are only suitable for autosomes. It was not until recently that the parental-asymmetry test on the X chromosome (XPAT) was proposed to test for imprinting effects. However, this test can only be used for qualitative traits. Therefore, in this article, we propose a class of PAT-type tests to test for imprinting for quantitative traits on the X chromosome in the presence of association, namely, Q-XPAT(c), Q-1-XPAT(c) and Q-C-XPAT(c), where c is a constant. These methods can accommodate complete and incomplete nuclear families with an arbitrary number of daughters. Extensive simulation studies demonstrate that the proposed tests control the size well under the null hypothesis of no imprinting effects and are powerful under various family structures. Moreover, by setting the inbreeding coefficient in females to be nonzero and using the assortative mating pattern in simulations, the proposed tests are shown to be valid under Hardy-Weinberg disequilibrium.
Collapse
Affiliation(s)
- Kexin Yu
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, China
| | - Ji-Yuan Zhou
- State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - Wing Kam Fung
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, China
| |
Collapse
|
28
|
Kingsley SL, Deyssenroth MA, Kelsey KT, Awad YA, Kloog I, Schwartz JD, Lambertini L, Chen J, Marsit CJ, Wellenius GA. Maternal residential air pollution and placental imprinted gene expression. ENVIRONMENT INTERNATIONAL 2017; 108:204-211. [PMID: 28886413 PMCID: PMC5623128 DOI: 10.1016/j.envint.2017.08.022] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Revised: 08/30/2017] [Accepted: 08/30/2017] [Indexed: 05/23/2023]
Abstract
BACKGROUND Maternal exposure to air pollution is associated with reduced fetal growth, but its relationship with expression of placental imprinted genes (important regulators of fetal growth) has not yet been studied. OBJECTIVES To examine relationships between maternal residential air pollution and expression of placental imprinted genes in the Rhode Island Child Health Study (RICHS). METHODS Women-infant pairs were enrolled following delivery between 2009 and 2013. We geocoded maternal residential addresses at delivery, estimated daily levels of fine particulate matter (PM2.5; n=355) and black carbon (BC; n=336) using spatial-temporal models, and estimated residential distance to nearest major roadway (n=355). Using linear regression models we investigated the associations between each exposure metric and expression of nine candidate genes previously associated with infant birthweight in RICHS, with secondary analyses of a panel of 108 imprinted genes expressed in the placenta. We also explored effect measure modification by infant sex. RESULTS PM2.5 and BC were associated with altered expression for seven and one candidate genes, respectively, previously linked with birthweight in this cohort. Adjusting for multiple comparisons, we found that PM2.5 and BC were associated with changes in expression of 41 and 12 of 108 placental imprinted genes, respectively. Infant sex modified the association between PM2.5 and expression of CHD7 and between proximity to major roadways and expression of ZDBF2. CONCLUSIONS We found that maternal exposure to residential PM2.5 and BC was associated with changes in placental imprinted gene expression, which suggests a plausible line of investigation of how air pollution affects fetal growth and development.
Collapse
Affiliation(s)
- Samantha L Kingsley
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA.
| | - Maya A Deyssenroth
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Karl T Kelsey
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Yara Abu Awad
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Luca Lambertini
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jia Chen
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Medicine, Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carmen J Marsit
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Gregory A Wellenius
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| |
Collapse
|
29
|
Li JL, Wang P, Fung WK, Zhou JY. Generalized disequilibrium test for association in qualitative traits incorporating imprinting effects based on extended pedigrees. BMC Genet 2017; 18:90. [PMID: 29037145 PMCID: PMC5644153 DOI: 10.1186/s12863-017-0560-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Accepted: 10/04/2017] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND For dichotomous traits, the generalized disequilibrium test with the moment estimate of the variance (GDT-ME) is a powerful family-based association method. Genomic imprinting is an important epigenetic phenomenon and currently, there has been increasing interest of incorporating imprinting to improve the test power of association analysis. However, GDT-ME does not take imprinting effects into account, and it has not been investigated whether it can be used for association analysis when the effects indeed exist. RESULTS In this article, based on a novel decomposition of the genotype score according to the paternal or maternal source of the allele, we propose the generalized disequilibrium test with imprinting (GDTI) for complete pedigrees without any missing genotypes. Then, we extend GDTI and GDT-ME to accommodate incomplete pedigrees with some pedigrees having missing genotypes, by using a Monte Carlo (MC) sampling and estimation scheme to infer missing genotypes given available genotypes in each pedigree, denoted by MCGDTI and MCGDT-ME, respectively. The proposed GDTI and MCGDTI methods evaluate the differences of the paternal as well as maternal allele scores for all discordant relative pairs in a pedigree, including beyond first-degree relative pairs. Advantages of the proposed GDTI and MCGDTI test statistics over existing methods are demonstrated by simulation studies under various simulation settings and by application to the rheumatoid arthritis dataset. Simulation results show that the proposed tests control the size well under the null hypothesis of no association, and outperform the existing methods under various imprinting effect models. The existing GDT-ME and the proposed MCGDT-ME can be used to test for association even when imprinting effects exist. For the application to the rheumatoid arthritis data, compared to the existing methods, MCGDTI identifies more loci statistically significantly associated with the disease. CONCLUSIONS Under complete and incomplete imprinting effect models, our proposed GDTI and MCGDTI methods, by considering the information on imprinting effects and all discordant relative pairs within each pedigree, outperform all the existing test statistics and MCGDTI can recapture much of the missing information. Therefore, MCGDTI is recommended in practice.
Collapse
Affiliation(s)
- Jian-Long Li
- State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Peng Wang
- State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - Wing Kam Fung
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, China
| | - Ji-Yuan Zhou
- State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| |
Collapse
|
30
|
Huang LO, Infante-Rivard C, Labbe A. Analysis of case-parent trios for imprinting effect using a loglinear model with adjustment for sex-of-parent-specific transmission ratio distortion. Hum Genet 2017. [PMID: 28631064 DOI: 10.1007/s00439-017-1824-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Transmission ratio distortion (TRD) is a phenomenon where parental transmission of disease allele to the child does not follow the Mendelian inheritance ratio. TRD occurs in a sex-of-parent-specific or non-sex-of-parent-specific manner. An offset computed from the transmission probability of the minor allele in control-trios can be added to the loglinear model to adjust for TRD. Adjusting the model removes the inflation in the genotype relative risk (RR) estimate and Type 1 error introduced by non-sex-of-parent-specific TRD. We now propose to further extend this model to estimate an imprinting parameter. Some evidence suggests that more than 1% of all mammalian genes are imprinted. In the presence of imprinting, for example, the offspring inheriting an over-transmitted disease allele from the parent with a higher expression level in a neighboring gene is over-represented in the sample. TRD mechanisms such as meiotic drive and gametic competition occur in a sex-of-parent-specific manner. Therefore, sex-of-parent-specific TRD (ST) leads to over-representation of maternal or paternal alleles in the affected child. As a result, ST may bias the imprinting effect when present in the sample. We propose a sex-of-parent-specific transmission offset in adjusting the loglinear model to account for ST. This extended model restores the correct RR estimates for child and imprinting effects, adjusts for inflation in Type 1 error, and improves performance on sensitivity and specificity compared to the original model without ST offset. We conclude that to correctly interpret the association signal of an imprinting effect, adjustment for ST is necessary to ensure valid conclusions.
Collapse
Affiliation(s)
- Lam Opal Huang
- Section for Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Universitetsparken 1, 1st floor, DIKU, 2100, København Ø, Denmark.
| | - Claire Infante-Rivard
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, H3A 1A2, Canada
| | - Aurélie Labbe
- Department of Decision Sciences, HEC Montréal, Montreal, QC, H3T 2A7, Canada
| |
Collapse
|
31
|
Allelic Dropout During Polymerase Chain Reaction due to G-Quadruplex Structures and DNA Methylation Is Widespread at Imprinted Human Loci. G3-GENES GENOMES GENETICS 2017; 7:1019-1025. [PMID: 28143949 PMCID: PMC5345703 DOI: 10.1534/g3.116.038687] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Loss of one allele during polymerase chain reaction (PCR) amplification of DNA, known as allelic dropout, can be caused by a variety of mechanisms. Allelic dropout during PCR may have profound implications for molecular diagnostic and research procedures that depend on PCR and assume biallelic amplification has occurred. Complete allelic dropout due to the combined effects of cytosine methylation and G-quadruplex formation was previously described for a differentially methylated region of the human imprinted gene, MEST. We now demonstrate that this parent-of-origin specific allelic dropout can potentially occur at several other genomic regions that display genomic imprinting and have propensity for G-quadruplex formation, including AIM1, BLCAP, DNMT1, PLAGL1, KCNQ1, and GRB10. These findings demonstrate that systematic allelic dropout during PCR is a general phenomenon for regions of the genome where differential allelic methylation and G-quadruplex motifs coincide, and suggest that great care must be taken to ensure biallelic amplification is occurring in such situations.
Collapse
|
32
|
Hamed M, Trumm J, Spaniol C, Sethi R, Irhimeh MR, Fuellen G, Paulsen M, Helms V. Linking Hematopoietic Differentiation to Co-Expressed Sets of Pluripotency-Associated and Imprinted Genes and to Regulatory microRNA-Transcription Factor Motifs. PLoS One 2017; 12:e0166852. [PMID: 28052084 PMCID: PMC5215400 DOI: 10.1371/journal.pone.0166852] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Accepted: 11/05/2016] [Indexed: 12/22/2022] Open
Abstract
Maintenance of cell pluripotency, differentiation, and reprogramming are regulated by complex gene regulatory networks (GRNs) including monoallelically-expressed imprinted genes. Besides transcriptional control, epigenetic modifications and microRNAs contribute to cellular differentiation. As a model system for studying the capacity of cells to preserve their pluripotency state and the onset of differentiation and subsequent specialization, murine hematopoiesis was used and compared to embryonic stem cells (ESCs) as a control. Using published microarray data, the expression profiles of two sets of genes, pluripotent and imprinted, were compared to a third set of known hematopoietic genes. We found that more than half of the pluripotent and imprinted genes are clearly upregulated in ESCs but subsequently repressed during hematopoiesis. The remaining genes were either upregulated in hematopoietic progenitors or in differentiated blood cells. The three gene sets each consist of three similarly behaving gene groups with similar expression profiles in various lineages of the hematopoietic system as well as in ESCs. To explain this co-regulation behavior, we explored the transcriptional and post-transcriptional mechanisms of pluripotent and imprinted genes and their regulator/target miRNAs in six different hematopoietic lineages. Therewith, lineage-specific transcription factor (TF)-miRNA regulatory networks were generated and their topologies and functional impacts during hematopoiesis were analyzed. This led to the identification of TF-miRNA co-regulatory motifs, for which we validated the contribution to the cellular development of the corresponding lineage in terms of statistical significance and relevance to biological evidence. This analysis also identified key miRNAs and TFs/genes that might play important roles in the derived lineage networks. These molecular associations suggest new aspects of the cellular regulation of the onset of cellular differentiation and during hematopoiesis involving, on one hand, pluripotent genes that were previously not discussed in the context of hematopoiesis and, on the other hand, involve genes that are related to genomic imprinting. These are new links between hematopoiesis and cellular differentiation and the important field of epigenetic modifications.
Collapse
Affiliation(s)
- Mohamed Hamed
- Center for Bioinformatics, Saarland University, Saarbrücken, Germany
- Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany
| | - Johannes Trumm
- Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany
| | - Christian Spaniol
- Center for Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Riccha Sethi
- Center for Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Mohammad R. Irhimeh
- Kolling Institute of Medical Research, Royal North Shore Hospital, The University of Sydney, St Leonards, NSW, Australia
| | - Georg Fuellen
- Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany
| | - Martina Paulsen
- Department of Genetics, Saarland University, Saarbrücken, Germany
| | - Volkhard Helms
- Center for Bioinformatics, Saarland University, Saarbrücken, Germany
- * E-mail:
| |
Collapse
|
33
|
McKean DM, Homsy J, Wakimoto H, Patel N, Gorham J, DePalma SR, Ware JS, Zaidi S, Ma W, Patel N, Lifton RP, Chung WK, Kim R, Shen Y, Brueckner M, Goldmuntz E, Sharp AJ, Seidman CE, Gelb BD, Seidman JG. Loss of RNA expression and allele-specific expression associated with congenital heart disease. Nat Commun 2016; 7:12824. [PMID: 27670201 PMCID: PMC5052634 DOI: 10.1038/ncomms12824] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Accepted: 08/04/2016] [Indexed: 12/22/2022] Open
Abstract
Congenital heart disease (CHD), a prevalent birth defect occurring in 1% of newborns, likely results from aberrant expression of cardiac developmental genes. Mutations in a variety of cardiac transcription factors, developmental signalling molecules and molecules that modify chromatin cause at least 20% of disease, but most CHD remains unexplained. We employ RNAseq analyses to assess allele-specific expression (ASE) and biallelic loss-of-expression (LOE) in 172 tissue samples from 144 surgically repaired CHD subjects. Here we show that only 5% of known imprinted genes with paternal allele silencing are monoallelic versus 56% with paternal allele expression-this cardiac-specific phenomenon seems unrelated to CHD. Further, compared with control subjects, CHD subjects have a significant burden of both LOE genes and ASE events associated with altered gene expression. These studies identify FGFBP2, LBH, RBFOX2, SGSM1 and ZBTB16 as candidate CHD genes because of significantly altered transcriptional expression.
Collapse
Affiliation(s)
- David M McKean
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA.,Cardiovascular Division, Brigham and Women's Hospital, Harvard University, Boston, Massachusetts 02115, USA
| | - Jason Homsy
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA.,Cardiovascular Division, Brigham and Women's Hospital, Harvard University, Boston, Massachusetts 02115, USA.,Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
| | - Hiroko Wakimoto
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Neil Patel
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Joshua Gorham
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Steven R DePalma
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA.,Howard Hughes Medical Institute, Harvard University, Boston, Massachusetts 02115, USA
| | - James S Ware
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA.,National Institute for Health Research Cardiovascular Biomedical Research Unit at Royal Brompton and Harefield National Health Service Foundation Trust and Imperial College London, London SW3 6NP, UK.,National Heart and Lung Institute, Imperial College London, London SW3 6NP, UK
| | - Samir Zaidi
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06510, USA
| | - Wenji Ma
- Department of Systems Biology, Columbia University Medical Center, New York, New York 10032, USA
| | - Nihir Patel
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Richard P Lifton
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06510, USA.,Howard Hughes Medical Institute, Yale University, Connecticut 06510, USA
| | - Wendy K Chung
- Department of Pediatrics and Medicine, Columbia University Medical Center, New York, New York 10032, USA
| | - Richard Kim
- Section of Cardiothoracic Surgery, University of Southern California Keck School of Medicine, Los Angeles, California 90089, USA
| | - Yufeng Shen
- Department of Systems Biology, Columbia University Medical Center, New York, New York 10032, USA.,Department of Biomedical Informatics, Columbia University Medical Center, New York, New York 10032, USA
| | - Martina Brueckner
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06510, USA
| | - Elizabeth Goldmuntz
- Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Andrew J Sharp
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Christine E Seidman
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA.,Cardiovascular Division, Brigham and Women's Hospital, Harvard University, Boston, Massachusetts 02115, USA.,Howard Hughes Medical Institute, Harvard University, Boston, Massachusetts 02115, USA
| | - Bruce D Gelb
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA.,Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - J G Seidman
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| |
Collapse
|
34
|
Joshi RS, Garg P, Zaitlen N, Lappalainen T, Watson CT, Azam N, Ho D, Li X, Antonarakis SE, Brunner HG, Buiting K, Cheung SW, Coffee B, Eggermann T, Francis D, Geraedts JP, Gimelli G, Jacobson SG, Le Caignec C, de Leeuw N, Liehr T, Mackay DJ, Montgomery SB, Pagnamenta AT, Papenhausen P, Robinson DO, Ruivenkamp C, Schwartz C, Steiner B, Stevenson DA, Surti U, Wassink T, Sharp AJ. DNA Methylation Profiling of Uniparental Disomy Subjects Provides a Map of Parental Epigenetic Bias in the Human Genome. Am J Hum Genet 2016; 99:555-566. [PMID: 27569549 DOI: 10.1016/j.ajhg.2016.06.032] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2016] [Accepted: 06/30/2016] [Indexed: 02/07/2023] Open
Abstract
Genomic imprinting is a mechanism in which gene expression varies depending on parental origin. Imprinting occurs through differential epigenetic marks on the two parental alleles, with most imprinted loci marked by the presence of differentially methylated regions (DMRs). To identify sites of parental epigenetic bias, here we have profiled DNA methylation patterns in a cohort of 57 individuals with uniparental disomy (UPD) for 19 different chromosomes, defining imprinted DMRs as sites where the maternal and paternal methylation levels diverge significantly from the biparental mean. Using this approach we identified 77 DMRs, including nearly all those described in previous studies, in addition to 34 DMRs not previously reported. These include a DMR at TUBGCP5 within the recurrent 15q11.2 microdeletion region, suggesting potential parent-of-origin effects associated with this genomic disorder. We also observed a modest parental bias in DNA methylation levels at every CpG analyzed across ∼1.9 Mb of the 15q11-q13 Prader-Willi/Angelman syndrome region, demonstrating that the influence of imprinting is not limited to individual regulatory elements such as CpG islands, but can extend across entire chromosomal domains. Using RNA-seq data, we detected signatures consistent with imprinted expression associated with nine novel DMRs. Finally, using a population sample of 4,004 blood methylomes, we define patterns of epigenetic variation at DMRs, identifying rare individuals with global gain or loss of methylation across multiple imprinted loci. Our data provide a detailed map of parental epigenetic bias in the human genome, providing insights into potential parent-of-origin effects.
Collapse
Affiliation(s)
- Ricky S Joshi
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Paras Garg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Noah Zaitlen
- Department of Medicine, UCSF MC2552, 1700 4th Street, Byers Hall Suite 503C, San Francisco, CA 94158, USA
| | - Tuuli Lappalainen
- New York Genome Center, 101 Avenue of the Americas, 7th Floor, New York, NY 10013, USA; Department of Systems Biology, Columbia University, New York, NY 10032, USA
| | - Corey T Watson
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nidha Azam
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Daniel Ho
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Xin Li
- Departments of Pathology, Genetics and Computer Science, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Stylianos E Antonarakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, 9th Floor, 1 rue Michel-Servet, 1211 Geneva, Switzerland
| | - Han G Brunner
- Department of Human Genetics, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands
| | - Karin Buiting
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Hufelandstrasse 55, 45122 Essen, Germany
| | - Sau Wai Cheung
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Bradford Coffee
- Emory Genetics Laboratory, Emory University, Atlanta, GA 30033, USA
| | - Thomas Eggermann
- Institute of Human Genetics, University Hospital, RWTH, 52074 Aachen, Germany
| | - David Francis
- Victorian Clinical Genetics Services, Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, VIC 3052, Australia
| | - Joep P Geraedts
- Department of Genetics and Cell Biology, Research Institute GROW, Faculty of Health, Medicine and Life Sciences, Maastricht University, PO Box 5800, Maastricht AZ 6202, the Netherlands
| | - Giorgio Gimelli
- Laboratorio di Citogenetica, Istituto G. Gaslini, 16148 Genova, Italy
| | - Samuel G Jacobson
- Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, 51 N. 39th Street, Philadelphia, PA 19104, USA
| | - Cedric Le Caignec
- CHU Nantes, Service de Génétique Médicale, Institut de Biologie, 9 quai Moncousu, 44093 Nantes, France; INSERM, UMR 957, Nantes 44035, France; Université de Nantes, Nantes atlantique universités, Pathophysiology of Bone Resorption and Therapy of Primary Bone Tumours, Nantes 44035, France
| | - Nicole de Leeuw
- Department of Human Genetics, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands
| | - Thomas Liehr
- Jena University Hospital, Friedrich Schiller University, Institute of Human Genetics, Kollegiengasse 10, 07743 Jena, Germany
| | - Deborah J Mackay
- Wessex Regional Genetics Laboratory Salisbury District Hospital, Salisbury, Wiltshire SO2 8BJ, UK
| | - Stephen B Montgomery
- Departments of Pathology, Genetics and Computer Science, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Alistair T Pagnamenta
- National Institute for Health Research Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Peter Papenhausen
- Division of Cytogenetics, LabCorp, Center for Molecular Biology and Pathology, Research Triangle Park, NC 27709, USA
| | - David O Robinson
- Wessex Regional Genetics Laboratory Salisbury District Hospital, Salisbury, Wiltshire SO2 8BJ, UK
| | - Claudia Ruivenkamp
- Department of Clinical Genetics, Leiden University Medical Center, 2300 RC Leiden, the Netherlands
| | - Charles Schwartz
- J.C. Self Research Institute, Greenwood Genetic Center, Greenwood, SC 29646, USA
| | - Bernhard Steiner
- Institute of Medical Genetics, University of Zurich, 8603 Schwerzenbach, Switzerland
| | - David A Stevenson
- Division of Medical Genetics, Lucile Salter Packard Children's Hospital, 300 Pasteur Drive, Boswell Building A097, Stanford, CA 94304, USA
| | - Urvashi Surti
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Thomas Wassink
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
| | - Andrew J Sharp
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| |
Collapse
|
35
|
A uniform survey of allele-specific binding and expression over 1000-Genomes-Project individuals. Nat Commun 2016; 7:11101. [PMID: 27089393 PMCID: PMC4837449 DOI: 10.1038/ncomms11101] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2015] [Accepted: 02/19/2016] [Indexed: 02/07/2023] Open
Abstract
Large-scale sequencing in the 1000 Genomes Project has revealed multitudes of single nucleotide variants (SNVs). Here, we provide insights into the functional effect of these variants using allele-specific behaviour. This can be assessed for an individual by mapping ChIP-seq and RNA-seq reads to a personal genome, and then measuring 'allelic imbalances' between the numbers of reads mapped to the paternal and maternal chromosomes. We annotate variants associated with allele-specific binding and expression in 382 individuals by uniformly processing 1,263 functional genomics data sets, developing approaches to reduce the heterogeneity between data sets due to overdispersion and mapping bias. Since many allelic variants are rare, aggregation across multiple individuals is necessary to identify broadly applicable 'allelic elements'. We also found SNVs for which we can anticipate allelic imbalance from the disruption of a binding motif. Our results serve as an allele-specific annotation for the 1000 Genomes variant catalogue and are distributed as an online resource (alleledb.gersteinlab.org).
Collapse
|
36
|
Rasmussen MB, Kreiborg S, Jensen P, Bak M, Mang Y, Lodahl M, Budtz-Jørgensen E, Tommerup N, Tranebjærg L, Rendtorff ND. Phenotypic subregions within the split-hand/foot malformation 1 locus. Hum Genet 2016; 135:345-57. [DOI: 10.1007/s00439-016-1635-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2015] [Accepted: 01/13/2016] [Indexed: 11/29/2022]
|
37
|
Kärst S, Arends D, Heise S, Trost J, Yaspo ML, Amstislavskiy V, Risch T, Lehrach H, Brockmann GA. The direction of cross affects [corrected] obesity after puberty in male but not female offspring. BMC Genomics 2015; 16:904. [PMID: 26546267 PMCID: PMC4636810 DOI: 10.1186/s12864-015-2164-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Accepted: 10/29/2015] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND We investigated parent-of-origin and allele-specific expression effects on obesity and hepatic gene expression in reciprocal crosses between the Berlin Fat Mouse Inbred line (BFMI) and C57Bl/6NCrl (B6N). RESULTS We found that F1-males with a BFMI mother developed 1.8 times more fat mass on a high fat diet at 10 weeks than F1-males of a BFMI father. The phenotype was detectable from six weeks on and was preserved after cross-fostering. RNA-seq data of liver provided evidence for higher biosynthesis and elongation of fatty acids (p = 0.00635) in obese male offspring of a BFMI mother versus lean offspring of a BFMI father. Furthermore, fatty acid degradation (p = 0.00198) and the peroxisome pathway were impaired (p = 0.00094). The circadian rhythm was affected as well (p = 0.00087). Among the highest up-regulated protein coding genes in obese males were Acot4 (1.82 fold, p = 0.022), Cyp4a10 (1.35 fold, p = 0.026) and Cyp4a14 (1.32 fold, p = 0.012), which hydroxylize fatty acids and which are known to be increased in liver steatosis. Obese males showed lower expression of the genetically imprinted and paternally expressed 3 (Peg3) gene (0.31 fold, p = 0.046) and higher expression of the androgen receptor (Ar) gene (2.38 fold, p = 0.068). Allelic imbalance was found for expression of ATP-binding cassette transporter gene Abca8b. Several of the differentially expressed genes contain estrogen response elements. CONCLUSIONS Parent-of-origin effects during gametogenesis and/or fetal development in an obese mother epigenetically modify the transcription of genes that lead to enhanced fatty acid synthesis and impair β-oxidation in the liver of male, but not female F1 offspring. Down-regulation of Peg3 could contribute to trigger this metabolic setting. At puberty, higher amounts of the androgen receptor and altered access to estrogen response elements in affected genes are likely responsible for male specific expression of genes that were epigenetically triggered. A suggestive lack of estrogen binding motifs was found for highly down-regulated genes in adult hepatocytes of obese F1 males (p = 0.074).
Collapse
Affiliation(s)
- Stefan Kärst
- Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften, Humboldt-Universität zu Berlin, Invalidenstraße 42, D-10115, Berlin, Germany
| | - Danny Arends
- Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften, Humboldt-Universität zu Berlin, Invalidenstraße 42, D-10115, Berlin, Germany
| | - Sebastian Heise
- Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften, Humboldt-Universität zu Berlin, Invalidenstraße 42, D-10115, Berlin, Germany
| | - Jan Trost
- Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften, Humboldt-Universität zu Berlin, Invalidenstraße 42, D-10115, Berlin, Germany
| | - Marie-Laure Yaspo
- Max Planck Institute for Molecular Genetics, Gene Regulation and Systems Biology of Cancer, Ihnestraße 63-73, 14195, Berlin, Germany
| | - Vyacheslav Amstislavskiy
- Max Planck Institute for Molecular Genetics, Gene Regulation and Systems Biology of Cancer, Ihnestraße 63-73, 14195, Berlin, Germany
| | - Thomas Risch
- Max Planck Institute for Molecular Genetics, Gene Regulation and Systems Biology of Cancer, Ihnestraße 63-73, 14195, Berlin, Germany
| | - Hans Lehrach
- Max Planck Institute for Molecular Genetics, Gene Regulation and Systems Biology of Cancer, Ihnestraße 63-73, 14195, Berlin, Germany
| | - Gudrun A Brockmann
- Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften, Humboldt-Universität zu Berlin, Invalidenstraße 42, D-10115, Berlin, Germany.
| |
Collapse
|
38
|
Andergassen D, Dotter CP, Kulinski TM, Guenzl PM, Bammer PC, Barlow DP, Pauler FM, Hudson QJ. Allelome.PRO, a pipeline to define allele-specific genomic features from high-throughput sequencing data. Nucleic Acids Res 2015. [PMID: 26202974 PMCID: PMC4666383 DOI: 10.1093/nar/gkv727] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Detecting allelic biases from high-throughput sequencing data requires an approach that maximises sensitivity while minimizing false positives. Here, we present Allelome.PRO, an automated user-friendly bioinformatics pipeline, which uses high-throughput sequencing data from reciprocal crosses of two genetically distinct mouse strains to detect allele-specific expression and chromatin modifications. Allelome.PRO extends approaches used in previous studies that exclusively analyzed imprinted expression to give a complete picture of the ‘allelome’ by automatically categorising the allelic expression of all genes in a given cell type into imprinted, strain-biased, biallelic or non-informative. Allelome.PRO offers increased sensitivity to analyze lowly expressed transcripts, together with a robust false discovery rate empirically calculated from variation in the sequencing data. We used RNA-seq data from mouse embryonic fibroblasts from F1 reciprocal crosses to determine a biologically relevant allelic ratio cutoff, and define for the first time an entire allelome. Furthermore, we show that Allelome.PRO detects differential enrichment of H3K4me3 over promoters from ChIP-seq data validating the RNA-seq results. This approach can be easily extended to analyze histone marks of active enhancers, or transcription factor binding sites and therefore provides a powerful tool to identify candidate cis regulatory elements genome wide.
Collapse
Affiliation(s)
- Daniel Andergassen
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT 25.3,1090 Vienna, Austria
| | - Christoph P Dotter
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT 25.3,1090 Vienna, Austria
| | - Tomasz M Kulinski
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT 25.3,1090 Vienna, Austria
| | - Philipp M Guenzl
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT 25.3,1090 Vienna, Austria
| | - Philipp C Bammer
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT 25.3,1090 Vienna, Austria
| | - Denise P Barlow
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT 25.3,1090 Vienna, Austria
| | - Florian M Pauler
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT 25.3,1090 Vienna, Austria
| | - Quanah J Hudson
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT 25.3,1090 Vienna, Austria
| |
Collapse
|
39
|
Massah S, Beischlag TV, Prefontaine GG. Epigenetic events regulating monoallelic gene expression. Crit Rev Biochem Mol Biol 2015; 50:337-58. [PMID: 26155735 DOI: 10.3109/10409238.2015.1064350] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
In mammals, generally it is assumed that the genes inherited from each parent are expressed to similar levels. However, it is now apparent that in non-sex chromosomes, 6-10% of genes are selected for monoallelic expression. Monoallelic expression or allelic exclusion is established either in an imprinted (parent-of-origin) or a stochastic manner. The stochastic model explains random selection while the imprinted model describes parent-of-origin specific selection of alleles for expression. Allelic exclusion occurs during X chromosome inactivation, parent-of-origin expression of imprinted genes and stochastic monoallelic expression of cell surface molecules, clustered protocadherin (PCDH) genes. Mis-regulation or loss of allelic exclusion contributes to developmental diseases. Epigenetic mechanisms are fundamental players that determine this type of expression despite a homogenous genetic background. DNA methylation and histone modifications are two mediators of the epigenetic phenomena. The majority of DNA methylation is found on cytosines of the CpG dinucleotide in mammals. Several covalent modifications of histones change the electrostatic forces between DNA and histones modifying gene expression. Long-range chromatin interactions organize chromatin into transcriptionally permissive and prohibitive regions leading to simultaneous regulation of gene expression and repression. Non-coding RNAs (ncRNAs) are also players in regulating gene expression. Together, these epigenetic mechanisms fine-tune gene expression levels essential for normal development and survival. In this review, first we discuss what is known about monoallelic gene expression. Then, we focus on the molecular mechanisms that regulate expression of three monoallelically expressed gene classes: the X-linked genes, selected imprinted genes and PCDH genes.
Collapse
Affiliation(s)
- Shabnam Massah
- a The Faculty of Health Sciences , Simon Fraser University , Burnaby , BC , Canada
| | - Timothy V Beischlag
- a The Faculty of Health Sciences , Simon Fraser University , Burnaby , BC , Canada
| | | |
Collapse
|
40
|
Baran Y, Subramaniam M, Biton A, Tukiainen T, Tsang EK, Rivas MA, Pirinen M, Gutierrez-Arcelus M, Smith KS, Kukurba KR, Zhang R, Eng C, Torgerson DG, Urbanek C, Li JB, Rodriguez-Santana JR, Burchard EG, Seibold MA, MacArthur DG, Montgomery SB, Zaitlen NA, Lappalainen T. The landscape of genomic imprinting across diverse adult human tissues. Genome Res 2015; 25:927-36. [PMID: 25953952 PMCID: PMC4484390 DOI: 10.1101/gr.192278.115] [Citation(s) in RCA: 137] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Accepted: 05/07/2015] [Indexed: 12/24/2022]
Abstract
Genomic imprinting is an important regulatory mechanism that silences one of the parental copies of a gene. To systematically characterize this phenomenon, we analyze tissue specificity of imprinting from allelic expression data in 1582 primary tissue samples from 178 individuals from the Genotype-Tissue Expression (GTEx) project. We characterize imprinting in 42 genes, including both novel and previously identified genes. Tissue specificity of imprinting is widespread, and gender-specific effects are revealed in a small number of genes in muscle with stronger imprinting in males. IGF2 shows maternal expression in the brain instead of the canonical paternal expression elsewhere. Imprinting appears to have only a subtle impact on tissue-specific expression levels, with genes lacking a systematic expression difference between tissues with imprinted and biallelic expression. In summary, our systematic characterization of imprinting in adult tissues highlights variation in imprinting between genes, individuals, and tissues.
Collapse
Affiliation(s)
- Yael Baran
- The Blavatnik School of Computer Science, Tel-Aviv University, Tel Aviv 69978, Israel
| | - Meena Subramaniam
- Department of Medicine, University of California San Francisco, San Francisco, California 94158, USA
| | - Anne Biton
- Department of Medicine, University of California San Francisco, San Francisco, California 94158, USA
| | - Taru Tukiainen
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Emily K Tsang
- Department of Pathology, Stanford University, Stanford, California 94305, USA; Biomedical Informatics Program, Stanford University, Stanford, California 94305, USA
| | - Manuel A Rivas
- Wellcome Trust Center for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, OX3 7BN, United Kingdom
| | - Matti Pirinen
- Institute for Molecular Medicine Finland, University of Helsinki, 00014 Helsinki, Finland
| | - Maria Gutierrez-Arcelus
- Department of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland
| | - Kevin S Smith
- Department of Pathology, Stanford University, Stanford, California 94305, USA; Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Kim R Kukurba
- Department of Pathology, Stanford University, Stanford, California 94305, USA; Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Rui Zhang
- Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Celeste Eng
- Department of Medicine, University of California San Francisco, San Francisco, California 94158, USA
| | - Dara G Torgerson
- Department of Medicine, University of California San Francisco, San Francisco, California 94158, USA
| | - Cydney Urbanek
- Integrated Center for Genes, Environment, and Health, National Jewish Health, Denver, Colorado 80206, USA
| | - Jin Billy Li
- Department of Genetics, Stanford University, Stanford, California 94305, USA
| | | | - Esteban G Burchard
- Department of Medicine, University of California San Francisco, San Francisco, California 94158, USA; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, USA
| | - Max A Seibold
- Integrated Center for Genes, Environment, and Health, National Jewish Health, Denver, Colorado 80206, USA; Department of Pediatrics, National Jewish Health, Denver, Colorado 80206, USA; Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado-Denver, Denver, Colorado 80045, USA
| | - Daniel G MacArthur
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Stephen B Montgomery
- Department of Pathology, Stanford University, Stanford, California 94305, USA; Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Noah A Zaitlen
- Department of Medicine, University of California San Francisco, San Francisco, California 94158, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, New York 10013, USA; Department of Systems Biology, Columbia University, New York, New York 10032, USA
| |
Collapse
|
41
|
Strogantsev R, Krueger F, Yamazawa K, Shi H, Gould P, Goldman-Roberts M, McEwen K, Sun B, Pedersen R, Ferguson-Smith AC. Allele-specific binding of ZFP57 in the epigenetic regulation of imprinted and non-imprinted monoallelic expression. Genome Biol 2015; 16:112. [PMID: 26025256 PMCID: PMC4491874 DOI: 10.1186/s13059-015-0672-7] [Citation(s) in RCA: 105] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Accepted: 05/11/2015] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Selective maintenance of genomic epigenetic imprints during pre-implantation development is required for parental origin-specific expression of imprinted genes. The Kruppel-like zinc finger protein ZFP57 acts as a factor necessary for maintaining the DNA methylation memory at multiple imprinting control regions in early mouse embryos and embryonic stem (ES) cells. Maternal-zygotic deletion of ZFP57 in mice presents a highly penetrant phenotype with no animals surviving to birth. Additionally, several cases of human transient neonatal diabetes are associated with somatic mutations in the ZFP57 coding sequence. RESULTS Here, we comprehensively map sequence-specific ZFP57 binding sites in an allele-specific manner using hybrid ES cell lines from reciprocal crosses between C57BL/6J and Cast/EiJ mice, assigning allele specificity to approximately two-thirds of all binding sites. While half of these are biallelic and include endogenous retrovirus (ERV) targets, the rest show monoallelic binding based either on parental origin or on genetic background of the allele. Parental-origin allele-specific binding is methylation-dependent and maps only to imprinting control differentially methylated regions (DMRs) established in the germline. We identify a novel imprinted gene, Fkbp6, which has a critical function in mouse male germ cell development. Genetic background-specific sequence differences also influence ZFP57 binding, as genetic variation that disrupts the consensus binding motif and its methylation is often associated with monoallelic expression of neighboring genes. CONCLUSIONS The work described here uncovers further roles for ZFP57-mediated regulation of genomic imprinting and identifies a novel mechanism for genetically determined monoallelic gene expression.
Collapse
Affiliation(s)
- Ruslan Strogantsev
- Department of Physiology Development and Neuroscience, University of Cambridge, Downing Site, Cambridge, CB2 3EG, UK. .,Present address: Epigenetics ISP, Babraham Institute, Cambridge, CB22 3AT, UK.
| | - Felix Krueger
- Bioinformatics Department, Babraham Institute, Cambridge, CB22 3AT, UK.
| | - Kazuki Yamazawa
- Department of Physiology Development and Neuroscience, University of Cambridge, Downing Site, Cambridge, CB2 3EG, UK.
| | - Hui Shi
- Department of Physiology Development and Neuroscience, University of Cambridge, Downing Site, Cambridge, CB2 3EG, UK.
| | - Poppy Gould
- Department of Physiology Development and Neuroscience, University of Cambridge, Downing Site, Cambridge, CB2 3EG, UK.
| | - Megan Goldman-Roberts
- Department of Physiology Development and Neuroscience, University of Cambridge, Downing Site, Cambridge, CB2 3EG, UK.
| | - Kirsten McEwen
- Department of Physiology Development and Neuroscience, University of Cambridge, Downing Site, Cambridge, CB2 3EG, UK.
| | - Bowen Sun
- The Anne McLaren Laboratory for Regenerative Medicine, University of Cambridge, Cambridge, CB2 0SZ, UK.
| | - Roger Pedersen
- The Anne McLaren Laboratory for Regenerative Medicine, University of Cambridge, Cambridge, CB2 0SZ, UK.
| | - Anne C Ferguson-Smith
- Department of Physiology Development and Neuroscience, University of Cambridge, Downing Site, Cambridge, CB2 3EG, UK. .,Present address: Department of Genetics, University of Cambridge, Downing Street, Cambridge, CB2 3EH, UK.
| |
Collapse
|
42
|
Babak T, DeVeale B, Tsang EK, Zhou Y, Li X, Smith KS, Kukurba KR, Zhang R, Li JB, van der Kooy D, Montgomery SB, Fraser HB. Genetic conflict reflected in tissue-specific maps of genomic imprinting in human and mouse. Nat Genet 2015; 47:544-9. [PMID: 25848752 PMCID: PMC4414907 DOI: 10.1038/ng.3274] [Citation(s) in RCA: 141] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2014] [Accepted: 03/13/2015] [Indexed: 12/12/2022]
Abstract
Genomic imprinting is an epigenetic process that restricts gene expression to either the maternally or paternally inherited allele. Many theories have been proposed to explain its evolutionary origin, but understanding has been limited by a paucity of data mapping the breadth and dynamics of imprinting within any organism. We generated an atlas of imprinting spanning 33 mouse and 45 human developmental stages and tissues. Nearly all imprinted genes were imprinted in early development and either retained their parent-of-origin expression in adults or lost it completely. Consistent with an evolutionary signature of parental conflict, imprinted genes were enriched for coexpressed pairs of maternally and paternally expressed genes, showed accelerated expression divergence between human and mouse, and were more highly expressed than their non-imprinted orthologs in other species. Our approach demonstrates a general framework for the discovery of imprinting in any species and sheds light on the causes and consequences of genomic imprinting in mammals.
Collapse
Affiliation(s)
- Tomas Babak
- Department of Biology, Stanford University, Stanford, CA, 94305, USA
| | - Brian DeVeale
- UCSF School of Medicine, UCSF, San Francisco, CA, 94143, USA
| | - Emily K. Tsang
- Department of Pathology, Stanford University, Stanford, CA, 94305, USA
| | - Yiqi Zhou
- Department of Biology, Stanford University, Stanford, CA, 94305, USA
| | - Xin Li
- Department of Pathology, Stanford University, Stanford, CA, 94305, USA
| | - Kevin S. Smith
- Department of Pathology, Stanford University, Stanford, CA, 94305, USA
| | - Kim R. Kukurba
- Department of Pathology, Stanford University, Stanford, CA, 94305, USA
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Rui Zhang
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Jin Billy Li
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Derek van der Kooy
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 3E1, Canada
| | - Stephen B. Montgomery
- Department of Pathology, Stanford University, Stanford, CA, 94305, USA
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Hunter B. Fraser
- Department of Biology, Stanford University, Stanford, CA, 94305, USA
| |
Collapse
|
43
|
O'Doherty AM, MacHugh DE, Spillane C, Magee DA. Genomic imprinting effects on complex traits in domesticated animal species. Front Genet 2015; 6:156. [PMID: 25964798 PMCID: PMC4408863 DOI: 10.3389/fgene.2015.00156] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2014] [Accepted: 04/06/2015] [Indexed: 11/13/2022] Open
Abstract
Monoallelically expressed genes that exert their phenotypic effect in a parent-of-origin specific manner are considered to be subject to genomic imprinting, the most well understood form of epigenetic regulation of gene expression in mammals. The observed differences in allele specific gene expression for imprinted genes are not attributable to differences in DNA sequence information, but to specific chemical modifications of DNA and chromatin proteins. Since the discovery of genomic imprinting some three decades ago, over 100 imprinted mammalian genes have been identified and considerable advances have been made in uncovering the molecular mechanisms regulating imprinted gene expression. While most genomic imprinting studies have focused on mouse models and human biomedical disorders, recent work has highlighted the contributions of imprinted genes to complex trait variation in domestic livestock species. Consequently, greater understanding of genomic imprinting and its effect on agriculturally important traits is predicted to have major implications for the future of animal breeding and husbandry. In this review, we discuss genomic imprinting in mammals with particular emphasis on domestic livestock species and consider how this information can be used in animal breeding research and genetic improvement programs.
Collapse
Affiliation(s)
- Alan M O'Doherty
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield Ireland
| | - David E MacHugh
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield Ireland ; Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Belfield Ireland
| | - Charles Spillane
- Genetics and Biotechnology Laboratory, Plant and AgriBiosciences Research Centre, School of Natural Sciences, National University of Ireland Galway, Galway Ireland
| | - David A Magee
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Belfield Ireland ; Department of Animal Science, University of Connecticut, Storrs, CT USA
| |
Collapse
|
44
|
Brown WM. Exercise-associated DNA methylation change in skeletal muscle and the importance of imprinted genes: a bioinformatics meta-analysis. Br J Sports Med 2015; 49:1567-78. [PMID: 25824446 DOI: 10.1136/bjsports-2014-094073] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/18/2015] [Indexed: 01/16/2023]
Abstract
BACKGROUND Epigenetics is the study of processes--beyond DNA sequence alteration--producing heritable characteristics. For example, DNA methylation modifies gene expression without altering the nucleotide sequence. A well-studied DNA methylation-based phenomenon is genomic imprinting (ie, genotype-independent parent-of-origin effects). OBJECTIVE We aimed to elucidate: (1) the effect of exercise on DNA methylation and (2) the role of imprinted genes in skeletal muscle gene networks (ie, gene group functional profiling analyses). DESIGN Gene ontology (ie, gene product elucidation)/meta-analysis. DATA SOURCES 26 skeletal muscle and 86 imprinted genes were subjected to g:Profiler ontology analysis. Meta-analysis assessed exercise-associated DNA methylation change. DATA EXTRACTION g:Profiler found four muscle gene networks with imprinted loci. Meta-analysis identified 16 articles (387 genes/1580 individuals) associated with exercise. Age, method, sample size, sex and tissue variation could elevate effect size bias. DATA SYNTHESIS Only skeletal muscle gene networks including imprinted genes were reported. Exercise-associated effect sizes were calculated by gene. Age, method, sample size, sex and tissue variation were moderators. RESULTS Six imprinted loci (RB1, MEG3, UBE3A, PLAGL1, SGCE, INS) were important for muscle gene networks, while meta-analysis uncovered five exercise-associated imprinted loci (KCNQ1, MEG3, GRB10, L3MBTL1, PLAGL1). DNA methylation decreased with exercise (60% of loci). Exercise-associated DNA methylation change was stronger among older people (ie, age accounted for 30% of the variation). Among older people, genes exhibiting DNA methylation decreases were part of a microRNA-regulated gene network functioning to suppress cancer. CONCLUSIONS Imprinted genes were identified in skeletal muscle gene networks and exercise-associated DNA methylation change. Exercise-associated DNA methylation modification could rewind the 'epigenetic clock' as we age. TRIAL REGISTRATION NUMBER CRD42014009800.
Collapse
|
45
|
A powerful association test for qualitative traits incorporating imprinting effects using general pedigree data. J Hum Genet 2014; 60:77-83. [PMID: 25518739 DOI: 10.1038/jhg.2014.109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2014] [Revised: 11/19/2014] [Accepted: 11/24/2014] [Indexed: 11/08/2022]
Abstract
For qualitative traits and diallelic marker loci, the pedigree disequilibrium test (PDT) based on general pedigrees and its extension (Monte Carlo PDT (MCPDT)) for dealing with missing genotypes are simple and powerful tests for association. There is an increasing interest of incorporating imprinting into association analysis. However, PDT and MCPDT do not take account of the information on imprinting effects in the analysis, which may reduce their test powers when the effects are present. On the other hand, the transmission disequilibrium test with imprinting (TDTI*) combines imprinting into the mapping of association variants. However, TDTI* only accommodates two-generation nuclear families and thus is not suitable for extended pedigrees. In this article, we first extend PDT to incorporate imprinting and propose PDTI for complete pedigrees (no missing genotypes). To fully utilize pedigrees with missing genotypes, we further develop the Monte Carlo PDTI (MCPDTI) statistic based on Monte Carlo sampling and estimation. Both PDTI and MCPDTI are derived in a two-stage framework. Simulation study shows that PDTI and MCPDTI control the size well under the null hypothesis of no association and are more powerful than PDT and TDTI* (based on a sample of nuclear families randomly selecting from pedigrees) when imprinting effects exist.
Collapse
|
46
|
Shen SQ, Turro E, Corbo JC. Hybrid mice reveal parent-of-origin and Cis- and trans-regulatory effects in the retina. PLoS One 2014; 9:e109382. [PMID: 25340786 PMCID: PMC4207689 DOI: 10.1371/journal.pone.0109382] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Accepted: 09/02/2014] [Indexed: 11/30/2022] Open
Abstract
A fundamental challenge in genomics is to map DNA sequence variants onto changes in gene expression. Gene expression is regulated by cis-regulatory elements (CREs, i.e., enhancers, promoters, and silencers) and the trans factors (e.g., transcription factors) that act upon them. A powerful approach to dissecting cis and trans effects is to compare F1 hybrids with F0 homozygotes. Using this approach and taking advantage of the high frequency of polymorphisms in wild-derived inbred Cast/EiJ mice relative to the reference strain C57BL/6J, we conducted allele-specific mRNA-seq analysis in the adult mouse retina, a disease-relevant neural tissue. We found that cis effects account for the bulk of gene regulatory divergence in the retina. Many CREs contained functional (i.e., activating or silencing) cis-regulatory variants mapping onto altered expression of genes, including genes associated with retinal disease. By comparing our retinal data with previously published liver data, we found that most of the cis effects identified were tissue-specific. Lastly, by comparing reciprocal F1 hybrids, we identified evidence of imprinting in the retina for the first time. Our study provides a framework and resource for mapping cis-regulatory variants onto changes in gene expression, and underscores the importance of studying cis-regulatory variants in the context of retinal disease.
Collapse
Affiliation(s)
- Susan Q. Shen
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Ernest Turro
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
- Department of Haematology, University of Cambridge, National Health Service Blood and Transplant, Cambridge, United Kingdom
| | - Joseph C. Corbo
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, United States of America
- * E-mail:
| |
Collapse
|
47
|
Congras A, Yerle-Bouissou M, Pinton A, Vignoles F, Liaubet L, Ferchaud S, Acloque H. Sperm DNA methylation analysis in swine reveals conserved and species-specific methylation patterns and highlights an altered methylation at the GNAS locus in infertile boars. Biol Reprod 2014; 91:137. [PMID: 25320151 DOI: 10.1095/biolreprod.114.119610] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Male infertility is an increasing health issue in today's society for both human and livestock populations. In livestock, male infertility slows the improvement of animal selection programs and agricultural productivity. There is increasing evidence that epigenetic marks play an important role in the production of good-quality sperm. We therefore screened for specific or common epigenetic signatures of livestock infertility. To do so, we compared DNA methylation level in sperm DNA from fertile and infertile boars. We evaluated first the global level of sperm DNA methylation and found no difference between the two groups of boars. We then selected 42 loci of interest, most of them known to be imprinted in human or mice, and assessed the imprinting status of five of them not previously described in swine tissues: WT1, CNTN3, IMPACT, QPCT, and GRB10. DNA methylation level was then quantified in fertile and infertile boars at these 42 loci. Results from fertile boars indicated that the methylation level of the selected loci is highly conserved between pig, human, and mice, with a few exceptions, including the POU5F1 (OCT4) promoter and RTL1. Comparison between fertile and infertile boars revealed that one imprinted region, the GNAS locus, shows an increase in sperm DNA methylation in three out of eight infertile boars with low semen quality. This increase in DNA methylation is associated with an altered expression of the genes belonging to the GNAS locus, suggesting a new role for GNAS in the proper formation of functional gametes.
Collapse
Affiliation(s)
- Annabelle Congras
- INRA, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, GenPhySE, Castanet-Tolosan, France
| | - Martine Yerle-Bouissou
- INRA, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, GenPhySE, Castanet-Tolosan, France
| | - Alain Pinton
- Université de Toulouse INPT ENVT, UMR1388 Génétique Physiologie et Systèmes d'Elevage GenPhySE, Toulouse, France
| | - Florence Vignoles
- INRA, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, GenPhySE, Castanet-Tolosan, France
| | - Laurence Liaubet
- INRA, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, GenPhySE, Castanet-Tolosan, France
| | - Stéphane Ferchaud
- UE1372 GenESI Génétique, Expérimentation et Système Innovants, Surgères, France
| | - Hervé Acloque
- INRA, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, GenPhySE, Castanet-Tolosan, France
| |
Collapse
|
48
|
Maschietto M, Charlton J, Perotti D, Radice P, Geller JI, Pritchard-Jones K, Weeks M. The IGF signalling pathway in Wilms tumours--a report from the ENCCA Renal Tumours Biology-driven drug development workshop. Oncotarget 2014; 5:8014-26. [PMID: 25478630 PMCID: PMC4226664 DOI: 10.18632/oncotarget.2485] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2014] [Accepted: 09/15/2014] [Indexed: 12/13/2022] Open
Abstract
It is hypothesised that Wilms tumour (WT) results from aberrant renal development due to its embryonic morphology, associated undifferentiated precursor lesions (termed nephrogenic rests) and embryonic kidney-like chromatin and gene expression profiles. From the study of overgrowth syndrome-associated WT, germline dysregulation was identified in the imprinted region at 11p15 affecting imprinted genes IGF2 and H19. This is also detected in ~70% sporadic cases, making this the most common somatic molecular aberration in WT. This review summarises the critical discussion at an international workshop held under the auspices of The European Network for Cancer Research in Children and Adolescents (ENCCA) consortium, where the potential for drug development to target IGF2 and the WT epigenome was debated. Here, we consider current cancer treatments which include targeting the IGF pathway and the use of methylation agents alone or in combination with other drugs in clinical trials of paediatric cancers. Finally, we discuss the possibility of the use of these drugs to treat patients with WT.
Collapse
Affiliation(s)
- Mariana Maschietto
- Cancer Section, Institute of Child Health, University College London, London WC1N 1EH, UK
| | - Jocelyn Charlton
- Cancer Section, Institute of Child Health, University College London, London WC1N 1EH, UK
| | - Daniela Perotti
- Molecular Bases of Genetic Risk and Genetic Testing Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Paolo Radice
- Molecular Bases of Genetic Risk and Genetic Testing Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - James I Geller
- UC department of paediatrics, Cincinnati Children's Hospital, Cincinnati, Ohio, USA
| | - Kathy Pritchard-Jones
- Cancer Section, Institute of Child Health, University College London, London WC1N 1EH, UK
| | - Mark Weeks
- Cancer Section, Institute of Child Health, University College London, London WC1N 1EH, UK
| |
Collapse
|
49
|
Steyaert S, Van Criekinge W, De Paepe A, Denil S, Mensaert K, Vandepitte K, Vanden Berghe W, Trooskens G, De Meyer T. SNP-guided identification of monoallelic DNA-methylation events from enrichment-based sequencing data. Nucleic Acids Res 2014; 42:e157. [PMID: 25237057 PMCID: PMC4227762 DOI: 10.1093/nar/gku847] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Monoallelic gene expression is typically initiated early in the development of an organism. Dysregulation of monoallelic gene expression has already been linked to several non-Mendelian inherited genetic disorders. In humans, DNA-methylation is deemed to be an important regulator of monoallelic gene expression, but only few examples are known. One important reason is that current, cost-affordable truly genome-wide methods to assess DNA-methylation are based on sequencing post-enrichment. Here, we present a new methodology based on classical population genetic theory, i.e. the Hardy–Weinberg theorem, that combines methylomic data from MethylCap-seq with associated SNP profiles to identify monoallelically methylated loci. Applied on 334 MethylCap-seq samples of very diverse origin, this resulted in the identification of 80 genomic regions featured by monoallelic DNA-methylation. Of these 80 loci, 49 are located in genic regions of which 25 have already been linked to imprinting. Further analysis revealed statistically significant enrichment of these loci in promoter regions, further establishing the relevance and usefulness of the method. Additional validation was done using both 14 whole-genome bisulfite sequencing data sets and 16 mRNA-seq data sets. Importantly, the developed approach can be easily applied to other enrichment-based sequencing technologies, like the ChIP-seq-based identification of monoallelic histone modifications.
Collapse
Affiliation(s)
- Sandra Steyaert
- Department of Mathematical Modelling, Statistics and Bioinformatics, University of Ghent, Ghent 9000, Belgium
| | - Wim Van Criekinge
- Department of Mathematical Modelling, Statistics and Bioinformatics, University of Ghent, Ghent 9000, Belgium
| | - Ayla De Paepe
- Department of Mathematical Modelling, Statistics and Bioinformatics, University of Ghent, Ghent 9000, Belgium
| | - Simon Denil
- Department of Mathematical Modelling, Statistics and Bioinformatics, University of Ghent, Ghent 9000, Belgium
| | - Klaas Mensaert
- Department of Mathematical Modelling, Statistics and Bioinformatics, University of Ghent, Ghent 9000, Belgium
| | | | - Wim Vanden Berghe
- PPES, Department of Biomedical Sciences, University of Antwerp, Wilrijk 2610, Belgium
| | - Geert Trooskens
- Department of Mathematical Modelling, Statistics and Bioinformatics, University of Ghent, Ghent 9000, Belgium
| | - Tim De Meyer
- Department of Mathematical Modelling, Statistics and Bioinformatics, University of Ghent, Ghent 9000, Belgium
| |
Collapse
|
50
|
Bodian DL, Solomon BD, Khromykh A, Thach DC, Iyer RK, Link K, Baker RL, Baveja R, Vockley JG, Niederhuber JE. Diagnosis of an imprinted-gene syndrome by a novel bioinformatics analysis of whole-genome sequences from a family trio. Mol Genet Genomic Med 2014; 2:530-8. [PMID: 25614875 PMCID: PMC4303223 DOI: 10.1002/mgg3.107] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2014] [Revised: 07/02/2014] [Accepted: 07/16/2014] [Indexed: 01/22/2023] Open
Abstract
Whole-genome sequencing and whole-exome sequencing are becoming more widely applied in clinical medicine to help diagnose rare genetic diseases. Identification of the underlying causative mutations by genome-wide sequencing is greatly facilitated by concurrent analysis of multiple family members, most often the mother-father-proband trio, using bioinformatics pipelines that filter genetic variants by mode of inheritance. However, current pipelines are limited to Mendelian inheritance patterns and do not specifically address disorders caused by mutations in imprinted genes, such as forms of Angelman syndrome and Beckwith-Wiedemann syndrome. Using publicly available tools, we implemented a genetic inheritance search mode to identify imprinted-gene mutations. Application of this search mode to whole-genome sequences from a family trio led to a diagnosis for a proband for whom extensive clinical testing and Mendelian inheritance-based sequence analysis were nondiagnostic. The condition in this patient, IMAGe syndrome, is likely caused by the heterozygous mutation c.832A>G (p.Lys278Glu) in the imprinted gene CDKN1C. The genotypes and disease status of six members of the family are consistent with maternal expression of the gene, and allele-biased expression was confirmed by RNA-Seq for the heterozygotes. This analysis demonstrates that an imprinted-gene search mode is a valuable addition to genome sequence analysis pipelines for identifying disease-causative variants.
Collapse
Affiliation(s)
- Dale L Bodian
- Inova Translational Medicine Institute, Inova Health System Falls Church, Virginia
| | - Benjamin D Solomon
- Inova Translational Medicine Institute, Inova Health System Falls Church, Virginia
| | - Alina Khromykh
- Inova Translational Medicine Institute, Inova Health System Falls Church, Virginia
| | - Dzung C Thach
- Inova Translational Medicine Institute, Inova Health System Falls Church, Virginia
| | - Ramaswamy K Iyer
- Inova Translational Medicine Institute, Inova Health System Falls Church, Virginia
| | - Kathleen Link
- Department of Pediatric Endocrinology, Inova Children's Hospital Falls Church, Virginia
| | - Robin L Baker
- Fairfax Neonatal Associates PC, Inova Children's Hospital Falls Church, Virginia
| | - Rajiv Baveja
- Fairfax Neonatal Associates PC, Inova Children's Hospital Falls Church, Virginia
| | - Joseph G Vockley
- Inova Translational Medicine Institute, Inova Health System Falls Church, Virginia
| | - John E Niederhuber
- Inova Translational Medicine Institute, Inova Health System Falls Church, Virginia
| |
Collapse
|