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Frontiers in Psychiatry 2021Schizophrenia is a destructive neuropsychiatric disease with a median prevalence of 4.0 per 1,000 during the whole life. Genome-wide association studies have shown the...
Schizophrenia is a destructive neuropsychiatric disease with a median prevalence of 4.0 per 1,000 during the whole life. Genome-wide association studies have shown the role of copy number variants (generally deletions) and certain alleles of common single nucleotide polymorphisms in the pathogenesis of schizophrenia. This disorder predominantly follows the polygenic inheritance model. Schizophrenia has also been linked with various alterations in the transcript and protein content of the brain tissue. Recent studies indicate that alterations in non-coding RNAs (ncRNAs) signature underlie a proportion of this dysregulation. High throughput microarray investigations have demonstrated momentous alterations in the expression of long non-coding RNAs (lncRNA) and microRNAs (miRNAs) in the circulation or post-mortem brain tissues of patients with schizophrenia compared with control samples. While Gomafu, PINT, GAS5, TCONS_l2_00021339, IFNG-AS1, FAS-AS1, PVT1, and TUG1 are among down-regulated lncRNAs in schizophrenia, MEG3, THRIL, HOXA-AS2, Linc-ROR, SPRY4-IT1, UCA1, and MALAT1 have been up-regulated in these patients. Moreover, several miRNAs, such as miR-30e, miR-130b, hsa-miR-130b, miR-193a-3p, hsa-miR-193a-3p, hsa-miR-181b, hsa-miR-34a, hsa-miR-346, and hsa-miR-7 have been shown to be dysregulated in blood or brain samples of patients with schizophrenia. Dysregulation of these transcripts in schizophrenia not only provides insight into the pathogenic processes of this disorder, it also suggests these transcripts could serve as diagnostic markers for schizophrenia. In the present paper, we explore the changes in the expression of miRNAs and lncRNAs in patients with schizophrenia.
PubMed: 34220567
DOI: 10.3389/fpsyt.2021.640463 -
Psychiatric Genetics Oct 2019There are substantial differences, or variation, between humans in aggression, with its molecular genetic basis mostly unknown. This review summarizes knowledge on the...
There are substantial differences, or variation, between humans in aggression, with its molecular genetic basis mostly unknown. This review summarizes knowledge on the genetic contribution to variation in aggression with the following three foci: (1) a comprehensive overview of reviews on the genetics of human aggression, (2) a systematic review of genome-wide association studies (GWASs), and (3) an automated tool for the selection of literature based on supervised machine learning. The phenotype definition 'aggression' (or 'aggressive behaviour', or 'aggression-related traits') included anger, antisocial behaviour, conduct disorder, and oppositional defiant disorder. The literature search was performed in multiple databases, manually and using a novel automated selection tool, resulting in 18 reviews and 17 GWASs of aggression. Heritability estimates of aggression in children and adults are around 50%, with relatively small fluctuations around this estimate. In 17 GWASs, 817 variants were reported as suggestive (P ≤ 1.0E), including 10 significant associations (P ≤ 5.0E). Nominal associations (P ≤ 1E) were found in gene-based tests for genes involved in immune, endocrine, and nervous systems. Associations were not replicated across GWASs. A complete list of variants and their position in genes and chromosomes are available online. The automated literature search tool produced literature not found by regular search strategies. Aggression in humans is heritable, but its genetic basis remains to be uncovered. No sufficiently large GWASs have been carried out yet. With increases in sample size, we expect aggression to behave like other complex human traits for which GWAS has been successful.
Topics: Adult; Aggression; Antisocial Personality Disorder; Attention Deficit Disorder with Hyperactivity; Attention Deficit and Disruptive Behavior Disorders; Child; Conduct Disorder; Environment; Epigenomics; Genome-Wide Association Study; Genomics; Humans; Multifactorial Inheritance; Phenotype; Supervised Machine Learning
PubMed: 31464998
DOI: 10.1097/YPG.0000000000000239 -
Postepy Biochemii Sep 2022This study aims to present the current state of knowledge on the DNA-based prediction of human externally visible characteristics of an unknown person based on the crime...
This study aims to present the current state of knowledge on the DNA-based prediction of human externally visible characteristics of an unknown person based on the crime scene biological material left behind. This DNA sample is referred to as a “biological witness” and the procedure itself is called forensic DNA phenotyping (FDP). The analytic part of this work is based on scholarly articles published between 2015 and 2021. The electronic search of relevant references was conducted according to the PRISMA methodology in March 2021 at EBSCO Discovery Service (EDS) at the Adam Mickiewicz University library and Google Scholar. The molecular basis of FDP, DNA markers used to predict sex, age, biogeographic origin and externally visible traits such as pigmentation (skin, eye and hair colour), hair morphology, facial morphology, presence of freckles, body height, body weight (obesity), male pattern baldness and myopia were described. Furthermore, methodological difficulties resulting from the polygenic inheritance of the studied traits, as well as social and ethical problems accompanying forensic DNA phenotyping were discussed. Finally, key themes for future research related to forensic DNA phenotyping were outlined.
Topics: Female; Humans; Male; DNA; Eye Color; Forensic Genetics; Hair Color; Phenotype
PubMed: 36317992
DOI: 10.18388/pb.2021_449 -
Schizophrenia Research Jul 2018Studying the phenotypic manifestations of increased genetic liability for schizophrenia can increase our understanding of this disorder. Specifically, information from...
Studying the phenotypic manifestations of increased genetic liability for schizophrenia can increase our understanding of this disorder. Specifically, information from alleles identified in genome-wide association studies can be collapsed into a polygenic risk score (PRS) to explore how genetic risk is manifest within different samples. In this systematic review, we provide a comprehensive assessment of studies examining associations between schizophrenia PRS (SZ-PRS) and several phenotypic measures. We searched EMBASE, Medline and PsycINFO (from August 2009-14th March 2016) plus references of included studies, following PRISMA guidelines. Study inclusion was based on predetermined criteria and data were extracted independently and in duplicate. Overall, SZ-PRS was associated with increased risk for psychiatric disorders such as depression and bipolar disorder, lower performance IQ and negative symptoms. SZ-PRS explained up to 6% of genetic variation in psychiatric phenotypes, compared to <0.7% in measures of cognition. Future gains from using the PRS approach may be greater if used for examining phenotypes that are more closely related to biological substrates, for scores based on gene-pathways, and where PRSs are used to stratify individuals for study of treatment response. As it was difficult to interpret findings across studies due to insufficient information provided by many studies, we propose a framework to guide robust reporting of PRS associations in the future.
Topics: Genome-Wide Association Study; Humans; Multifactorial Inheritance; Phenotype; Risk Assessment; Schizophrenia
PubMed: 29129507
DOI: 10.1016/j.schres.2017.10.037 -
Evolution; International Journal of... Dec 2021An evolutionary model for sex differences in disease risk posits that alleles conferring higher risk in one sex may be protective in the other. These sexually...
An evolutionary model for sex differences in disease risk posits that alleles conferring higher risk in one sex may be protective in the other. These sexually antagonistic (SA) alleles are predicted to be maintained at frequencies higher than expected under purifying selection against unconditionally deleterious alleles, but there are apparently no examples in humans. Discipline-specific terminology, rather than a genuine lack of such alleles, could explain this disparity. We undertook a two-stage review of evidence for SA polymorphisms in humans using search terms from (i) evolutionary biology and (ii) biomedicine. Although the first stage returned no eligible studies, the second revealed 51 genes with sex-opposite effects; 22 increased disease risk or severity in one sex but protected the other. Those with net positive effects occurred at higher frequencies. None were referred to as SA. Our review reveals significant communication barriers to fields as a result of discipline-specific terminology.
Topics: Alleles; Biological Evolution; Female; Humans; Male; Multifactorial Inheritance; Polymorphism, Genetic; Selection, Genetic
PubMed: 34723381
DOI: 10.1111/evo.14394