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At least 19 recordsLinked to original sources
PubMed1993

Legal and ethical issues in psychiatric genetic research.

Genetic research may uncover the causes of severe mental disorders, and many projects have been undertaken to locate the genes responsible for schizophrenia, bipolar disorder, and Alzheimer disease. A number of sensitive legal and ethical issues have been raised, including 1) protection of confidential data concerning research subjects; 2) the assessment of types and degree of risk to subjects who participate in such studies; 3) the legal and ethical acceptability of substituted judgement on behalf of patients who may not be competent to provide informed consent; and 4) the separation of research and clinical roles in areas such as genetic counseling. Federal regulations and other guidelines are of limited value in dealing with such concerns, and many important human subjects issues will need to be dealt with by the investigator, subject to approval by a local Institutional Review Board. There does seem to be general agreement that informed consent must be obtained, potential risks of research need to be minimized, and confidentiality of sensitive data must be protected.

Advance Directives↗
PubMed1996

Mixture distributions in human genetics research.

The use of mixture distributions in genetics research dates back to at least the late 1800s when Karl Pearson applied them in an analysis of crab morphometry. Pearson's use of normal mixture distributions to model the mixing of different species of crab (or 'families' of crab as he referred to them) within a defined geographic area motivated further use of mixture distributions in genetics research settings, and ultimately led to their development and recognition as intuitive modelling devices for the effects of underlying genes on quantitative phenotypic (i.e. trait) expression. In addition, mixture distributions are now used routinely to model or accommodate the genetic heterogeneity thought to underlie many human diseases. Specific applications of mixture distribution models in contemporary human genetics research are, in fact, too numerous to count. Despite this long, consistent and arguably illustrious history of use, little mention of mixture distributions in genetics research is made in many recent reviews on mixture models. This review attempts to rectify this by providing insight into the role that mixture distributions play in contemporary human genetics research. Tables providing examples from the literature that describe applications of mixture models in human genetics research are offered as a way of acquainting the interested reader with relevant studies. In addition, some of the more problematic aspects of the use of mixture models in genetics research are outlined and addressed.

Genetic Heterogeneity↗
PubMed1988

[The role of environmental factors in the etiology of epilepsy (based on data from epidemiological genetic research)].

Genetic-epidemiological analysis of the role of ante-, peri- and postnatal exogenous adversities in the development of epilepsy was performed on the representative sample of 365 families using the multifactor and single locus models. The relationship was established of the genetic factors with ante- and perinatal factors on the one hand, and with postnatal ones on the other. An ecogenetic hypothesis of the epilepsy etiology was put forward.

Ecology↗
PubMed1987

Historical perspective of genetic research with nonhuman primates.

Genetics became firmly established as a scientific discipline early in the twentieth century, but major genetic research programs that involve nonhuman primates have been initiated only in the last two decades. Considerable activity in this area has been stimulated by the concurrent development of powerful techniques for detecting variability in chromosomes, proteins, and DNA; the establishment of pedigreed breeding colonies; and the recognition that nonhuman primates are ideally suited as models of human disease and social structure. The subdisciplines of cytogenetics, immunogenetics, and biochemical genetics have established a firm basis for biomedical and evolutionary research with nonhuman primates, and they will contribute greatly to future research initiatives. More recently, the advent of molecular genetics has enhanced the opportunities for research; and the exploration of nonhuman primates as potential models for genetically mediated diseases has been richly rewarded. We stand at the threshold of a new and exciting era in genetic research with nonhuman primates. The results of research programs already underway not only will provide more definitive answers about the origin of man, but also will play a critical role in solving the health-related problems of the present and of the future.

Animals↗
PubMed1993

Facioscapulohumeral muscular dystrophy: the impact of genetic research.

Recent developments in genetic research have led to the localization and identification of the causative gene defect in a large number of neurological diseases. This paper describes some of the basic principles of molecular genetics and the strategies that have been followed in the search for the gene for facioscapulohumeral muscular dystrophy (FSHD), beginning with the recent localization to chromosome 4q. Many questions remain concerning the pathogenesis and possible genetic heterogeneity of this autosomal dominant myopathy. Hitherto, most evidence favours a genetically homogeneous disorder, but only the isolation and detailed characterization of the FSHD gene will resolve these issues completely.

Chromosome Aberrations↗
PubMed1994

The Emanuel Miller Memorial Lecture 1993. Genetic research and identification of environmental influences.

As the importance of genetic influence in developmental psychopathology becomes widely accepted, we should not lose sight of the importance of genetic research for the investigation and identification of environmental influences. First, genetic research provides the best available evidence for the importance of nongenetic factors in behavioural development. Rarely does genetic influence account for more than half of the variance. Second, genetic research indicates that environmental effects on behavioural development largely involve nonshared environmental processes that make children in the same family different from one another. New research on this topic is presented and implications for research are discussed.

Adoption↗
PubMed2026

Genetic Research on Cardiac Channelopathies in African and African-Descent Populations: A Scoping Review.

Cardiac channelopathies are inherited arrhythmias that can lead to sudden cardiac death. Despite Africa's extensive genomic diversity, African and African-descent populations remain underrepresented in genetic research, creating gaps in variant interpretation and clinical care. This scoping review aims to map the extent, range, and nature of genetic research on cardiac channelopathies in these populations and to identify key geographic, thematic, and methodological gaps. Using the Joanna Briggs Institute scoping review methodology and the Population-Concept-Context framework, systematic searches in PubMed, Embase, and Web of Science identified original human studies on cardiac channelopathies with genetic data. Extracted variables included study characteristics, populations, types of channelopathies, and reported genes and variants. Forty-four studies met the inclusion criteria. Most studies originated from the United States and South Africa, while West, Central, and East Africa were largely underrepresented. US Black individuals and South African individuals of continental African or African-descended ancestry (excluding populations of European descent such as Cape Afrikaner people) were the most studied groups, with other continental African groups rarely included. Long QT syndrome was the predominant focus, and SCN5A, KCNQ1, and KCNH2 were the most frequently analyzed genes. Many of the genetic variants discussed remained of uncertain significance due to limited functional validation and the underrepresentation of African genomes in reference databases. Genetic research on cardiac channelopathies in populations of African ancestry is limited, restricting variant interpretation, counseling, and risk prediction. Broader African inclusion, expanded gene screening, and functional studies are essential to improve diagnostics and promote equity in genomic medicine.

Humans↗
PubMed1984

Genetic research in coronary heart disease.

Coronary heart disease research along genetic lines is difficult. Studies in molecular genetics of apolipoprotein and receptor variability appear most promising in the near future. However, unexpected discoveries and methodology may turn up that may completely change the field. Exclusive concentration on lipid research therefore should be avoided. It is likely that most advances will come from carefully designed studies that ask specific questions. Such research design is appropriate not only for laboratory studies but also for clinical and epidemiological investigations. The collaboration of clinicians, biochemists, geneticists, epidemiologists, and statisticians is likely to lead to better understanding of coronary heart disease.

Alleles↗
PubMed1995

Genetic research, adolescents, and informed consent.

The participation of adolescents in genetic research engenders unusual problems concerning the nature of their informed consent. In this study we analyze 70 consent documents collected from genetics investigators in the United States who conduct research with children and adolescents. We find that many consent documents do not reflect either the current or the developing ethical and legal standards for research with adolescents and that in many cases the documents are simply confusing or unclear. We make recommendations for change to reflect more adequately the changing perspective concerning the autonomous decision-making capacity of adolescents.

Adolescent↗
PubMed1994

Psychiatric genetics: research challenges and pathways forward.

Lessons from past psychiatric genetic research, together with key issues in psychiatry requiring genetic investigation, are reviewed in order to consider the implications for the ways forward. It is argued that traditional quantitative genetics needs to use a combination of twin, adoptee, and family strategies, to examine continuities and discontinuities in psychopathology between childhood and adult life, to compare dimensions and categories, to employ adequate conceptualization and measurement of disorders, to use statistical techniques based on latent constructs, to use biological trait indicators where possible, to examine risk factors as well as diseases, to include good measures of postulated environmental risk variables, to study the interplay between genes and environment, and to study the key assumptions underlying genetic strategies. Molecular cytogenetics needs to consider both the general and specific psychopathological risks associated with chromosome abnormalities and to examine the mechanism involved, to examine the role of submicroscopic chromosomal deletions and of mitochondrial disorders, and to investigate the mechanisms involved in trinucleotide repeat amplifications that take place during intergenerational transmission. Molecular genetics needs to make greater use of smaller pedigrees in view of the concerns over phenotypic definition and genetic heterogeneity in very large extended dense pedigrees, to use sib-pair designs in view of the likelihood that most psychiatric disorder will prove to be multifactorial, to combine association strategies with linkage analyses, to pay careful attention to the definition of phenotypes in probands, to remain in close touch with other branches of biological psychiatry, and to make effective use of collaboration between centers. To date, transgenic models have had a rather limited application in psychiatry but, despite their difficulties, they are likely to provide an underpinning for gene therapy in disorders where that seems feasible.

Genetic Heterogeneity↗
PubMed2026

Optimizing Control Definitions in Opioid Use Disorder Genetic Research Using Electronic Health Records.

Amidst the opioid crisis, understanding the genetic basis of opioid use disorder (OUD) is crucial for identifying biological mechanisms and intervention points. However, genome-wide association studies (GWASs) have been hampered by inadequate sample sizes and often the use of control populations not assessed for prior opioid exposure. Because opioid exposure is a prerequisite for the development of OUD, consideration of exposure history in controls is important. Electronic health record data (EHR) paired with genomic information allow a broader sampling of patients with OUD and exposed controls. We leveraged data across two healthcare systems to evaluate the impact of using controls not screened for opioid exposure ('generic') versus minimally opioid-exposed control ('exposed'). First, at the phenotypic level, we conducted phenome-wide association studies (PheWAS) to compare the medical comorbidity profiles of OUD cases when using generic versus exposed controls. While PheWAS results for OUD-related comorbidities were more pronounced when using the generic group, 83% of the disease associations were overlapping and of similar effect sizes. Second, at the genetic level, we conducted GWAS (cases vs. generic; cases vs. exposed) and assessed differences in genetic correlations and degrees of phenotypic misclassification. Genetic results were concordant across control groups based on heritability (generic: 0.16 ± 0.07 vs. 0.10 ± 0.07), associations with the coding OPRM1 variant rs1799971 (pgeneric = 8.83E-03 vs. pexposed = 1.83E-02) and genetic correlations with prior OUD GWAS (rg-generic = 0.83 ± 0.26 vs. rg-exposed = 0.78 ± 0.27). Although GWASs were limited by sample size (Ngeneric = 6269, Nexposed = 6365), compared to an independent OUD GWAS (N = 425 944), the dilution value for the two GWAS was not different from 1, suggesting no major impact of phenotypic misclassification. This study represents the first effort to enhance OUD genetic research through optimization of control definitions using EHR data. Generic controls ascertained within the US health systems, where exposure to prescription opioids is high, offer a practical alternative for genetic studies of OUD.

Humans↗
PubMedDate not supplied

Genetic fatalism and social policy: the implications of behavior genetics research.

Recent advances in molecular genetics methods have provided new means of determining the genetic bases of human behavioral traits. The impetus for the use of these approaches for specific behaviors depends, in large part, on previous familial studies on inheritance of such traits. In the past, a finding of a genetic basis for a trait was often accompanied with the idea that that trait is unchangeable. We discuss the definition of "genetic trait" and heritability and examine the relationship between these concepts and the malleability of traits for both molecular and nonmolecular approaches to behavioral genetics. We argue that the malleability of traits is as much a social and political question as it is a biological one and that whether or not a trait is genetic has little relevance to questions concerning determinism, free will, and individual responsibility for actions. We conclude by noting that "scientific objectivity" should not be used to conceal the social perspectives that underlie proposals regarding social change.

Female↗
PubMed1985

A covariance structure model for quantitative genetic research.

In this paper, we have presented a general covariance structure model for quantitative genetic research that incorporates measurement theory, components of variance, and regression theory for specification of structural relations among variance components. Each portion of the general model addresses specific issues important in delineating the genetic etiology of continuous traits. Through specification of a measurement model, genetic and environmental influences can be estimated independently of measurement error. Genetic and environmental sources of variance are defined from familial sampling designs through the components of variance model. Structural relationships among several traits at the genetic or environmental level can be specified through the regression model. The significance of parameters specified in each part of the model can be tested through model comparisons using a likelihood ratio chi-square test. We utilized the general model to test genetic covariance as a source of observed covariation of obesity and glucose tolerance in the Pima Indians. We initially applied the modeling approach using full-sib, half-sib sampling among the Pima with a second application including offspring as well as parental scores. Our initial applications of the methodology suggest that the covariance structure model can be a useful tool in genetic epidemiological research. Through model comparisons, our findings suggest that the association of glucose tolerance and obesity in the Pima is not due to a common set of genes but rather due to non-familial environmental influences. In conclusion, one task important for future research, as we see it, is the application of covariance structure models to other familial sampling designs and the evaluation of the usefulness of this approach through further applications to data.

Arizona↗