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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 -
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 -
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 -
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 -
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 -
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