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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 -
Annals of Palliative Medicine Aug 2022Ischaemic stroke is a common neurological disease and a leading cause of severe disability and death in developed countries. In most cases, stroke is thought to be a... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Ischaemic stroke is a common neurological disease and a leading cause of severe disability and death in developed countries. In most cases, stroke is thought to be a multifactorial disorder or complex trait for which classic patterns of inheritance cannot be shown. Xuesaitong is one of the most commonly used medicines for treating ischemic stroke in China. However, compared to the conventional therapy, the effectiveness and safety of Xuesaitong for ischemic stroke needs to be further systematically reviewed and determined.
METHODS
Relevant randomized controlled trials (RCTs) examining the use of the Xuesaitong soft capsule in the treatment of patients with ischemic stroke were identified from databases, including the China National Knowledge Infrastructure, Wanfang, PubMed, Embase, and Web of Science databases. Next, 2 researchers independently extracted information from the included studies, analyzed the data using STATA 15.0 software, and evaluated the quality of the included studies using RevMan 5.3.
RESULTS
A total of 17 RCTs (comprising 1,942 patients with ischemic stroke) were included in the meta-analysis. The meta-analysis results showed that the Xuesaitong soft capsule treatment increased patients' total effective rate compared to conventional or other drug treatments, and improved patients' Clinical Severity Score (CSS scores) or Barthel index (BI) score. A further subgroup analysis stratified by different treatment times showed that Xuesaitong soft capsule treatment at 4 and 8 weeks improved CSS scores more than treatment at 2 weeks in patients with ischemic stroke. Additionally, the Xuesaitong soft capsule also significantly improved plasma viscosity, whole-blood viscosity at high and low shear rates, fibrinogen, hematocrit, and the effect on traditional Chinese medicine (TCM) single symptoms or signs in patients with ischemic stroke.
DISCUSSION
In summary, compared to conventional or other drug treatments, the Xuesaitong soft capsule treatment was beneficial in improving patients' TCM symptoms (e.g., crooked mouth and tongue, and dizziness) and various indicators. Further, Xuesaitong soft capsule may be a safe and effective drug for the treatment of ischemic stroke. And large-scale randomized clinical trials are needed to further confirm our findings.
Topics: Capsules; Drugs, Chinese Herbal; Humans; Ischemic Stroke; Saponins; Stroke
PubMed: 36064360
DOI: 10.21037/apm-22-748 -
Genetics in Medicine : Official Journal... Sep 2022Single-nucleotide variations (SNVs) (formerly single-nucleotide polymorphism [SNV]) influence genetic predisposition to endometrial cancer. We hypothesized that a...
PURPOSE
Single-nucleotide variations (SNVs) (formerly single-nucleotide polymorphism [SNV]) influence genetic predisposition to endometrial cancer. We hypothesized that a polygenic risk score (PRS) comprising multiple SNVs may improve endometrial cancer risk prediction for targeted screening and prevention.
METHODS
We developed PRSs from SNVs identified from a systematic review of published studies and suggestive SNVs from the Endometrial Cancer Association Consortium. These were tested in an independent study of 555 surgically-confirmed endometrial cancer cases and 1202 geographically-matched controls from Manchester, United Kingdom and validated in 1676 cases and 116,960 controls from the UK Biobank (UKBB).
RESULTS
Age and body mass index predicted endometrial cancer in both data sets (Manchester: area under the receiver operator curve [AUC] = 0.77, 95% CI = 0.74-0.80; UKBB: AUC = 0.74, 95% CI = 0.73-0.75). The AUC for PRS19, PRS24, and PRS72 were 0.58, 0.55, and 0.57 in the Manchester study and 0.56, 0.54, and 0.54 in UKBB, respectively. For PRS19, women in the third tertile had a 2.1-fold increased risk of endometrial cancer compared with those in the first tertile of the Manchester study (odds ratio = 2.08, 95% CI = 1.61-2.68, P = 5.75E-9). Combining PRS19 with age and body mass index improved discriminatory power (Manchester study: AUC = 0.79, 95% CI = 0.76-0.82; UKBB: AUC =0.75, 95% CI = 0.73-0.76).
CONCLUSION
An endometrial cancer risk prediction model incorporating a PRS derived from multiple SNVs may help stratify women for screening and prevention strategies.
Topics: Female; Humans; Endometrial Neoplasms; Genetic Predisposition to Disease; Genome-Wide Association Study; Multifactorial Inheritance; Polymorphism, Single Nucleotide; Risk Assessment; Risk Factors
PubMed: 35704044
DOI: 10.1016/j.gim.2022.05.014 -
Schizophrenia Bulletin Sep 2022Schizophrenia has been robustly associated with multiple genetic and environmental risk factors. Childhood adversity is one of the most widely replicated environmental... (Meta-Analysis)
Meta-Analysis
BACKGROUND AND HYPOTHESIS
Schizophrenia has been robustly associated with multiple genetic and environmental risk factors. Childhood adversity is one of the most widely replicated environmental risk factors for schizophrenia, but it is unclear if schizophrenia genetic risk alleles contribute to this association.
STUDY DESIGN
In this systematic review and meta-analysis, we assessed the evidence for gene-environment correlation (genes influence likelihood of environmental exposure) between schizophrenia polygenic risk score (PRS) and reported childhood adversity. We also assessed the evidence for a gene-environment interaction (genes influence sensitivity to environmental exposure) in relation to the outcome of schizophrenia and/or psychosis. This study was registered on PROSPERO (CRD42020182812). Following PRISMA guidelines, a search for relevant literature was conducted using Cochrane, MEDLINE, PsycINFO, Web of Science, and Scopus databases until February 2022. All studies that examined the association between schizophrenia PRS and childhood adversity were included.
STUDY RESULTS
Seventeen of 650 identified studies met the inclusion criteria and were assessed against the Newcastle-Ottawa Scale for quality. The meta-analysis found evidence for gene-environment correlation between schizophrenia PRS and childhood adversity (r = .02; 95% CI = 0.01, 0.03; P = .001), but the effect was small and therefore likely to explain only a small proportion of the association between childhood adversity and psychosis. The 4 studies that investigated a gene-environment interaction between schizophrenia PRS and childhood adversity in increasing risk of psychosis reported inconsistent results.
CONCLUSIONS
These findings suggest that a gene-environment correlation could explain a small proportion of the relationship between reported childhood adversity and psychosis.
Topics: Adverse Childhood Experiences; Child; Gene-Environment Interaction; Humans; Multifactorial Inheritance; Risk; Schizophrenia
PubMed: 35674151
DOI: 10.1093/schbul/sbac049 -
Human Genetics Nov 2022Genomic medicine aims to improve health using the individual genomic data of people to inform care. While clinical utility of genomic medicine in many monogenic,... (Review)
Review
Genomic medicine aims to improve health using the individual genomic data of people to inform care. While clinical utility of genomic medicine in many monogenic, Mendelian disorders is amply demonstrated, clinical utility is less evident in polygenic traits, e.g., coronary artery disease or breast cancer. Polygenic risk scores (PRS) are subsets of individual genotypes designed to capture heritability of common traits, and hence to allow the stratification of risk of the trait in a population. We systematically reviewed the PubMed database for unequivocal evidence of clinical utility of polygenic risk scores, using stringent inclusion and exclusion criteria. While we identified studies demonstrating clinical validity in conditions where medical intervention based on a PRS is likely to benefit patient outcome, we did not identify a single study demonstrating unequivocally such a benefit, i.e. clinical utility. We conclude that while the routine use of PRSs hold great promise, translational research is still needed before they should enter mainstream clinical practice.
Topics: Genetic Predisposition to Disease; Genomic Medicine; Genomics; Humans; Multifactorial Inheritance; Risk Factors
PubMed: 35488921
DOI: 10.1007/s00439-022-02452-x -
Genetics in Medicine : Official Journal... Jun 2022Recently, preimplantation genetic testing (PGT) for polygenic conditions (PGT-P) has been introduced commercially. In view of the lack of specific guidance on this... (Review)
Review
PURPOSE
Recently, preimplantation genetic testing (PGT) for polygenic conditions (PGT-P) has been introduced commercially. In view of the lack of specific guidance on this development, we analyzed normative documents on PGT for monogenic conditions (PGT-M) to understand what we can learn from these documents for recommendations for PGT-P.
METHODS
We conducted a systematic review of normative guidelines and recommendations on PGT-M. The aim was to understand what the current consensus and disagreements are on ethical acceptability of PGT-M and how this compares with PGT-P.
RESULTS
We analyzed 38 documents by advisory committees at the national, European, and global level. In total, 2 themes were identified, which included the following: (1) what PGT is considered appropriate for and (2) who can make decisions regarding the use of PGT. Many aspects of PGT-M documents apply to PGT-P as well. Additional factors such as the fact that PGT-P screens for risk indications of multiple polygenic conditions increase ethical difficulties regarding severity, risk, autonomy, and informed decision-making.
CONCLUSION
On the basis of PGT-M normative documents, we conclude that ethical acceptability for PGT-P is limited. Our findings present various factors that have to be considered for the development of guidelines and the appropriateness of PGT.
Topics: Aneuploidy; Female; Genetic Testing; Humans; Morals; Multifactorial Inheritance; Pregnancy; Preimplantation Diagnosis
PubMed: 35341652
DOI: 10.1016/j.gim.2022.03.001 -
Journal of Affective Disorders May 2022Understanding the genetic underpinnings of antidepressant treatment response in unipolar major depressive disorder (MDD) can be useful in identifying patients at risk... (Review)
Review
BACKGROUND
Understanding the genetic underpinnings of antidepressant treatment response in unipolar major depressive disorder (MDD) can be useful in identifying patients at risk for poor treatment response or treatment resistant depression. A polygenic risk score (PRS) is a useful tool to explore genetic liability of a complex trait such as antidepressant treatment response. Here, we review studies that use PRSs to examine genetic overlap between any trait and antidepressant treatment response in unipolar MDD.
METHODS
A systematic search of literature was conducted in PubMed, Embase, and PsycINFO. Our search included studies examining associations between PRSs of psychiatric as well as non-psychiatric traits and antidepressant treatment response in patients with unipolar MDD. A quality assessment of the included studies was performed.
RESULTS
In total, eleven articles were included which contained PRSs for 30 traits. Studies varied in sample size and endpoints used for antidepressant treatment response. Overall, PRSs for attention-deficit hyperactivity disorder, the personality trait openness, coronary artery disease, obesity, and stroke have been associated with antidepressant treatment response in patients with unipolar MDD.
LIMITATIONS
The endpoints used by included studies differed significantly, therefore it was not possible to perform a meta-analysis.
CONCLUSIONS
Associations between a PRS and antidepressant treatment response have been reported for a number of traits in patients with unipolar MDD. PRSs could be informative to predict antidepressant treatment response in this population, given advances in the field. Most importantly, there is a need for larger study cohorts and the use of standardized outcome measures.
Topics: Antidepressive Agents; Depression; Depressive Disorder, Major; Humans; Multifactorial Inheritance; Risk Factors
PubMed: 35151671
DOI: 10.1016/j.jad.2022.02.015 -
Molecular Psychiatry Mar 2022Schizophrenia is a severe, complex mental disorder characterized by a combination of positive symptoms, negative symptoms, and impaired cognitive function. Schizophrenia...
Schizophrenia is a severe, complex mental disorder characterized by a combination of positive symptoms, negative symptoms, and impaired cognitive function. Schizophrenia is highly heritable (~80%) with multifactorial etiology and complex polygenic genetic architecture. Despite the large number of genetic variants associated with schizophrenia, few causal variants have been established. Gaining insight into the mechanistic influences of these genetic variants may facilitate our ability to apply these findings to prevention and treatment. Though there have been more than 300 studies of gene expression in schizophrenia over the past 15 years, none of the studies have yielded consistent evidence for specific genes that contribute to schizophrenia risk. The aim of this work is to conduct a systematic review and synthesis of case-control studies of genome-wide gene expression in schizophrenia. Comprehensive literature searches were completed in PubMed, EmBase, and Web of Science, and after a systematic review of the studies, data were extracted from those that met the following inclusion criteria: human case-control studies comparing the genome-wide transcriptome of individuals diagnosed with schizophrenia to healthy controls published between January 1, 2000 and June 30, 2020 in the English language. Genes differentially expressed in cases were extracted from these studies, and overlapping genes were compared to previous research findings from the genome-wide association, structural variation, and tissue-expression studies. The transcriptome-wide analysis identified different genes than those previously reported in genome-wide association, exome sequencing, and structural variation studies of schizophrenia. Only one gene, GBP2, was replicated in five studies. Previous work has shown that this gene may play a role in immune function in the etiology of schizophrenia, which in turn could have implications for risk profiling, prevention, and treatment. This review highlights the methodological inconsistencies that impede valid meta-analyses and synthesis across studies. Standardization of the use of covariates, gene nomenclature, and methods for reporting results could enhance our understanding of the potential mechanisms through which genes exert their influence on the etiology of schizophrenia. Although these results are promising, collaborative efforts with harmonization of methodology will facilitate the identification of the role of genes underlying schizophrenia.
Topics: Case-Control Studies; Genetic Predisposition to Disease; Genome-Wide Association Study; Humans; Multifactorial Inheritance; Schizophrenia; Exome Sequencing
PubMed: 35091668
DOI: 10.1038/s41380-021-01420-7 -
Clinical and Translational Medicine Jan 2022
Meta-Analysis
Topics: Alcohol Drinking; Genetic Loci; Genome-Wide Association Study; Heroin; Humans; Methamphetamine; Multifactorial Inheritance
PubMed: 35075802
DOI: 10.1002/ctm2.659 -
BMC Cancer Jan 2022Risk prediction models incorporating single nucleotide polymorphisms (SNPs) could lead to individualized prevention of colorectal cancer (CRC). However, the added value...
BACKGROUND
Risk prediction models incorporating single nucleotide polymorphisms (SNPs) could lead to individualized prevention of colorectal cancer (CRC). However, the added value of incorporating SNPs into models with only traditional risk factors is still not clear. Hence, our primary aim was to summarize literature on risk prediction models including genetic variants for CRC, while our secondary aim was to evaluate the improvement of discriminatory accuracy when adding SNPs to a prediction model with only traditional risk factors.
METHODS
We conducted a systematic review on prediction models incorporating multiple SNPs for CRC risk prediction. We tested whether a significant trend in the increase of Area Under Curve (AUC) according to the number of SNPs could be observed, and estimated the correlation between AUC improvement and number of SNPs. We estimated pooled AUC improvement for SNP-enhanced models compared with non-SNP-enhanced models using random effects meta-analysis, and conducted meta-regression to investigate the association of specific factors with AUC improvement.
RESULTS
We included 33 studies, 78.79% using genetic risk scores to combine genetic data. We found no significant trend in AUC improvement according to the number of SNPs (p for trend = 0.774), and no correlation between the number of SNPs and AUC improvement (p = 0.695). Pooled AUC improvement was 0.040 (95% CI: 0.035, 0.045), and the number of cases in the study and the AUC of the starting model were inversely associated with AUC improvement obtained when adding SNPs to a prediction model. In addition, models constructed in Asian individuals achieved better AUC improvement with the incorporation of SNPs compared with those developed among individuals of European ancestry.
CONCLUSIONS
Though not conclusive, our results provide insights on factors influencing discriminatory accuracy of SNP-enhanced models. Genetic variants might be useful to inform stratified CRC screening in the future, but further research is needed.
Topics: Adult; Area Under Curve; Asian People; Case-Control Studies; Clinical Decision Rules; Colorectal Neoplasms; Female; Genetic Predisposition to Disease; Genome-Wide Association Study; Humans; Male; Middle Aged; Multifactorial Inheritance; Polymorphism, Single Nucleotide; Risk Assessment; Risk Factors; White People
PubMed: 35030997
DOI: 10.1186/s12885-021-09143-2