ID
45202
Descripción
Principal Investigator: Joel E. Kleinman, MD, PhD, National Institutes of Health, Bethesda, MD, USA MeSH: Growth and Development,Aging https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000417 This study explores the temporal dynamics and genetic control of transcription and DNA methylation in the human dorsolateral prefrontal cortex in postmortem tissue. This study examines 269 subjects for gene expression (version 1) and 108 subjects for DNA methylation (version 2). The subjects are normal controls without neuropathological and neuropsychiatric diagnosis and range in age from fetal weeks 14-20 through old age (80). We discover fast changes in gene expression occurring during early brain development. Later in life, the changes are considerably slower. Many genes reverse pattern of expression between fetal and early postnatal development. We identify thousands of strong associations of SNPs with gene expression. We examine DNA methylation in ~14,500 genes at ~27,000 CpG loci focused on 5' promoter regions. The fastest changes in DNA methylation also occur during the prenatal period, slow down markedly after birth and continue to slow further with aging. DNA methylation is strongly associated with genotypic variants and correlates with expression of a subset of genes. DNA for genotyping was obtained from the cerebella and applied to either Illumina 650K or 1 million BeadArrays - only genotypes common to both platforms are analyzed here. Genotypes were called using BeadExpress software. Doi: 10.1038/nature10524 Nature, 478:519-524, 2011; doi:10.1016/j.ajhg.2011.12.020, AJHG 90, 1-13, Feb 10, 2012. The methylation data can be downloaded at: BrainCloud.
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Versiones (2)
- 17/8/22 17/8/22 - Chiara Middel
- 12/10/22 12/10/22 - Adrian Schulz
Titular de derechos de autor
Joel E. Kleinman, MD, PhD, National Institutes of Health, Bethesda, MD, USA
Subido en
12 de octubre de 2022
DOI
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Licencia
Creative Commons BY 4.0
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dbGaP phs000417 BrainCloud: Data from Human Postmortem Brain Across the Lifespan
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject - Sample Mapping
- dbGaP Sample - GEO Accession ID Mapping
- The dataset provides gender/race/age at death information of subjects whose cerebellar tissue samples were obtained (postmortem, age range from embryonic age to late adulthood, all free of neuropathological/neuropsychiatric diagnoses) and genotyped (see GEO GSE30272, for additional data). Data of two subjects were added to the dbGaP version 2 release.
- Sample Attributes
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject - Sample Mapping
- dbGaP Sample - GEO Accession ID Mapping
- The dataset provides gender/race/age at death information of subjects whose cerebellar tissue samples were obtained (postmortem, age range from embryonic age to late adulthood, all free of neuropathological/neuropsychiatric diagnoses) and genotyped (see GEO GSE30272, for additional data). Data of two subjects were added to the dbGaP version 2 release.
- Sample Attributes
C0006104 (UMLS CUI [1,2])
C0004398 (UMLS CUI [1,3])
C0021430 (UMLS CUI [2,1])
C1548348 (UMLS CUI [2,2])
C0205472 (UMLS CUI [3,1])
C0936012 (UMLS CUI [3,2])
C0680251 (UMLS CUI [4,1])
C0876934 (UMLS CUI [4,2])
C2239127 (UMLS CUI [4,3])
C0085762 (UMLS CUI [4,4])
C0004936 (UMLS CUI [4,5])
C0680251 (UMLS CUI [5,1])
C0752046 (UMLS CUI [5,2])