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- Ip, H. F., et al.
(författare)
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Genetic association study of childhood aggression across raters, instruments, and age
- 2021
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Ingår i: Translational Psychiatry. - : Springer Science and Business Media LLC. - 2158-3188. ; 11:1
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Tidskriftsartikel (refereegranskat)abstract
- Childhood aggressive behavior (AGG) has a substantial heritability of around 50%. Here we present a genome-wide association metaanalysis (GWAMA) of childhood AGG, in which all phenotype measures across childhood ages from multiple assessors were included. We analyzed phenotype assessments for a total of 328 935 observations from 87 485 children aged between 1.5 and 18 years, while accounting for sample overlap. We also meta-analyzed within subsets of the data, i.e., within rater, instrument and age. SNP-heritability for the overall meta-analysis (AGGoverall) was 3.31% (SE= 0.0038). We found no genome-wide significant SNPs for AGG(overall). The gene-based analysis returned three significant genes: ST3GAL3 (P= 1.6E-06), PCDH7 (P= 2.0E-06), and IPO13 (P= 2.5E-06). All three genes have previously been associated with educational traits. Polygenic scores based on our GWAMA significantly predicted aggression in a holdout sample of children (variance explained = 0.44%) and in retrospectively assessed childhood aggression (variance explained = 0.20%). Genetic correlations (rg) among rater-specific assessment of AGG ranged from r(g)= 0.46 between self- and teacher-assessment to r(g)d= 0.81 between mother- and teacher-assessment. We obtained moderate-to-strong rgs with selected phenotypes from multiple domains, but hardly with any of the classical biomarkers thought to be associated with AGG. Significant genetic correlations were observed with most psychiatric and psychological traits (range r(g): 0.19-1.00), except for obsessive-compulsive disorder. Aggression had a negative genetic correlation (r(g)=-0.5) with cognitive traits and age at first birth. Aggression was strongly genetically correlated with smoking phenotypes (range |r(g)| : 0.46-0.60). The genetic correlations between aggression and psychiatric disorders were weaker for teacher-reported AGG than for mother- and self-reported AGG. The current GWAMA of childhood aggression provides a powerful tool to interrogate the rater-specific genetic etiology of AGG.
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- Munn-Chernoff, M. A., et al.
(författare)
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Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies
- 2021
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Ingår i: Addiction Biology. - : Wiley. - 1355-6215 .- 1369-1600. ; 26:1
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Tidskriftsartikel (refereegranskat)abstract
- Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [r(g)], twin-based = 0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from similar to 2400 to similar to 537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder- and substance-use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (r(g) = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN (r(g) = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating (r(g) = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating (r(gs) = -0.19 to -0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co-varying for major depressive disorder loci. The patterns of association between eating disorder- and substance-use-related phenotypes highlights the potentially complex and substance-specific relationships among these behaviors.
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- Sayadi, Ahmed, et al.
(författare)
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Functional features of EVI1 and EVI1Δ324 isoforms of MECOM gene in genome-wide transcription regulation and oncogenicity.
- 2016
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Ingår i: Oncogene. - : Macmillan Publishers Ltd.. - 0950-9232 .- 1476-5594. ; 35:18, s. 2311-2321
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Tidskriftsartikel (refereegranskat)abstract
- The MDS1 and ecotropic viral integration site 1 (EVI1) complex locus (MECOM) gene encodes several transcription factor variants including MDS1-EVI1, EVI1 and EVI1Δ324. Although MDS1-EVI1 has been associated with tumor-suppressing activity, EVI1 is a known oncogene in various cancers, whose expression is associated with poor patient survival. Although EVI1Δ324 is co-transcribed with EVI1, its activity in cancer cells is not fully understood. Previous reports described that unlike EVI1, EVI1Δ324 protein cannot transform fibroblasts because of its disrupted N-terminal zinc finger (ZNF) domain. To better understand EVI1Δ324 biology and function, we obtained genome-wide binding occupancies and expression data in ovarian cancer cells. We characterized its DNA-binding sites, binding motif and target genes. Comparative analyses with previous study show that EVI1 and EVI1Δ324 share similar transcriptional activities linked to their common C-terminus ZNF domain. They bind to an E-twenty-six family (ETS)-like motif, target to a large extent the same genes and cooperate with AP1 transcription factor. EVI1Δ324-occupied genes were 70.7% similar to EVI1-bound genes. More strikingly, EVI1 and EVI1Δ324 differentially expressed genes were 99.87% identical, indicating comparable transcriptional regulatory functions. Consistently with gene ontologies linked to these target genes, EVI1Δ324 expression in HeLa cells could enhance anchorage-independent growth, such as EVI1, showing that EVI1Δ324 expression also lead to pro-oncogenic effects. The main specific feature of EVI1 variant is its N-terminus ZNF domain that binds DNA through GATA-like motif. We found that most GATA-like EVI1 chromatin immunoprecipitation sequencing peaks are far from genes and are not involved in transcriptional regulation. These genomic regions were enriched in simple sequence repeats and displayed high meiotic recombination rates. Overall, our genomics analyses uncovered common and specific features of two major MECOM isoforms. Their influence on transcription and downstream cell proliferation was comparable. However, EVI1-specific GATA-like binding sites, from its N-terminus ZNF domain, associated with high recombination rates, suggesting possible additional oncogenic potential for EVI1 in modulating genomic stability.
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