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PubMed2000

Multivariate genetic analysis of brain structure in an extended twin design.

The hunt for genes influencing behavior may be aided by the study of intermediate phenotypes for several reasons. First, intermediate phenotypes may be influenced by only a few genes, which facilitates their detection. Second, many intermediate phenotypes can be measured on a continuous quantitative scale and thus can be assessed in affected and unaffected individuals. Continuous measures increase the statistical power to detect genetic effects (Neale et al., 1994), and allow studies to be designed to collect data from informative subjects such as extreme concordant or discordant pairs. Intermediate phenotypes for discrete traits, such as psychiatric disorders, can be neurotransmitter levels, brain function, or structure. In this paper we conduct a multivariate analysis of data from 111 twin pairs and 34 additional siblings on cerebellar volume, intracranial space, and body height. The analysis is carried out on the raw data and specifies a model for the mean and the covariance structure. Results suggest that cerebellar volume and intracranial space vary with age and sex. Brain volumes tend to decrease slightly with age, and males generally have a larger brain volume than females. The remaining phenotypic variance of cerebellar volume is largely genetic (88%). These genetic factors partly overlap with the genetic factors that explain variance in intracranial space and body height. The applied method is presented as a general approach for the analysis of intermediate phenotypes in which the effects of correlated variables on the observed scores are modeled through multivariate analysis.

Adult↗
PubMed2001

Genetic consequences of polygyny and social structure in an Indian fruit bat, Cynopterus sphinx. I. Inbreeding, outbreeding, and population subdivision.

Population subdivision into behaviorally cohesive kin groups influences rates of inbreeding and genetic drift and has important implications for the evolution of social behavior. Here we report the results of a study designed to test the hypothesis that harem social structure promotes inbreeding and genetic subdivision in a population with overlapping generations. Genetic consequences of harem social structure were investigated in a natural population of a highly polygynous fruit bat, Cynopterus sphinx (Chiroptera: Pteropodidae), in western India. The partitioning of genetic variance within and among breeding groups was assessed using 10-locus microsatellite genotypes for 431 individually marked bats. Genetic analysis of the C. sphinx study population was integrated with field data on demography and social structure to determine the specific ways in which mating, dispersal, and new social group formation influenced population genetic structure. Microsatellite data revealed striking contrasts in genetic structure between consecutive offspring cohorts and between generations. Relative to the 1998 (dry-season) offspring cohort, the 1997 (wet-season) cohort was characterized by a more extensive degree of within-group heterozygote excess (F(IS) = -0.164 vs. -0.050), a greater degree of among-group subdivision (F(ST) = 0.123 vs. 0.008), and higher average within-group relatedness (r = 0.251 vs. 0.017). Differences in genetic structure between the two offspring cohorts were attributable to seasonal differences in the number and proportional representation of male parents. Relative to adult age-classes, offspring cohorts were characterized by more extensive departures from allelic and genotypic equilibria and a greater degree of genetic subdivision. Generational differences in F-statistics indicated that genetic structuring of offspring cohorts was randomized by natal dispersal prior to recruitment into the breeding population. Low relatedness among harem females (r = 0.002-0.005) was primarily attributable to high rates of natal dispersal and low rates of juvenile survivorship. Kin selection is therefore an unlikely explanation for the formation and maintenance of behaviorally cohesive breeding groups in this highly social mammal.

Animals↗
PubMed2005

Genes for schizophrenia and bipolar disorder? Implications for psychiatric nosology.

It has been conventional for psychiatric research, including the search for predisposing genes, to proceed under the assumption that schizophrenia and bipolar disorder are separate disease entities with different underlying etiologies. These represent Emil Kraepelin's traditional dichotomous classification of the so-called "functional" psychoses and form the basis of modern diagnostic practice. However, findings emerging from many fields of psychiatric research do not fit well with this model. In particular, the pattern of findings emerging from genetic studies shows increasing evidence for an overlap in genetic susceptibility across the traditional classification categories-including association findings at DAOA(G72), DTNBP1 (dysbindin), COMT, BDNF, DISC1, and NRG1. The emerging evidence suggests the possibility of relatively specific relationships between genotype and psychopathology. For example, DISC1 and NRG1 may confer susceptibility to a form of illness with mixed features of schizophrenia and mania. The elucidation of genotype-phenotype relationships is at an early stage, but current findings highlight the need to consider alternative approaches to classification and conceptualization for psychiatric research rather than continuing to rely heavily on the traditional Kraepelinian dichotomy. As psychosis susceptibility genes are identified and characterized over the next few years, this will have a major impact on our understanding of disease pathophysiology and will lead to changes in classification and the clinical practice of psychiatry.

Bipolar Disorder↗
PubMed2026

Shared genetic architecture between ADHD and intelligence varies across ADHD subtypes.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous neurodevelopmental condition frequently accompanied by cognitive difficulties. Although previous genetic studies have demonstrated substantial overlap between ADHD and intelligence, most have treated ADHD as a single phenotype. However, whether this shared genetic architecture differs across ADHD subtypes remains unclear. METHODS: We conducted a genome-wide cross-trait analysis integrating large-scale genome-wide association study (GWAS) datasets of overall ADHD, its subtypes-childhood ADHD, persistent ADHD, and late-diagnosed ADHD-and intelligence (total N > 300,000). Genome-wide genetic correlations, polygenic overlap, local genetic correlations, and variant-level associations between ADHD phenotypes and intelligence were evaluated to characterize their shared genetic architecture. Shared variants were identified through cross-trait enrichment analyses and subsequently mapped to genes for functional annotation and gene-set enrichment. Bidirectional associations were evaluated using two-sample Mendelian randomization with sensitivity analyses. Additional GWAS datasets were used to validate the robustness of shared loci by assessing the consistency of effect directions. RESULTS: All ADHD phenotypes showed significant negative genetic correlations with intelligence (rg ranging from -0.3442 to -0.4205). Despite these modest genome-wide correlations, cross-trait analyses revealed substantial genetic overlap, including polygenic overlap, local genetic correlations, and variant-level associations. We identified 184 loci jointly associated with ADHD traits and intelligence, including 64 novel loci, whereas no shared loci were detected for persistent ADHD under the current analysis. Functional annotation revealed biologically distinct enrichment patterns across subtypes: childhood ADHD loci were linked to early neurodevelopmental processes, while late-diagnosed ADHD loci were enriched in synapse-related and neuronal signaling pathways. Mendelian randomization analyses suggested bidirectional associations, with stronger evidence supporting a directional association from intelligence to ADHD risk. Furthermore, these shared loci showed largely consistent effect directions across additional GWAS datasets, providing support for the robustness of the findings. CONCLUSIONS: The shared genetic architecture between ADHD and intelligence varies across ADHD subtypes, highlighting distinct biological pathways underlying cognitive heterogeneity in ADHD. These findings suggest that the relationship between ADHD liability and general cognitive ability is not uniform across ADHD subtypes and may inform future research on risk stratification and early identification in child and adolescent psychiatry.

Humans↗
PubMed2002

Repression and activation domains of RME1p structurally overlap, but differ in genetic requirements.

Rme1p, a repressor of meiosis in the yeast Saccharomyces cerevisiae, acts as both a transcriptional repressor and activator. Rme1p is a zinc-finger protein with no other homology to any protein of known function. The C-terminal DNA binding domain of Rme1p is essential for function. We find that mutations and progressive deletions in all three zinc fingers can be rescued by fusion of RME1 to the DNA binding domain of another protein. Thus, structural integrity of the zinc fingers is not required for the Rme1p-mediated effects on transcription. Using a series of mutant Rme1 proteins, we have characterized domains responsible for repression and activation. We find that the minimal transcriptional repression and activation domains completely overlap and lie in an 88-amino-acid N-terminal segment (aa 61-148). An additional transcriptional effector determinant lies in the first 31 amino acids of the protein. Notwithstanding the complete overlap between repression and activation domains of Rme1p, we demonstrated a functional difference between repression and activation: Rgr1p and Sin4p are absolutely required for repression but dispensable for activation.

Amino Acid Sequence↗
PubMed2005

Genetic analysis of an overlapping functional requirement for L1- and NCAM-type proteins during sensory axon guidance in Drosophila.

L1- and NCAM-type cell adhesion molecules represent distinct protein families that function as specific receptors for different axon guidance cues. However, both L1 and NCAM proteins promote axonal growth by inducing neuronal tyrosine kinase activity and are coexpressed in subsets of axon tracts in arthropods and vertebrates. We have studied the functional requirements for the Drosophila L1- and NCAM-type proteins, Neuroglian (Nrg) and Fasciclin II (FasII), during postembryonic sensory axon guidance. The rescue of the Neuroglian loss-of-function (LOF) phenotype by transgenically expressed L1- and NCAM-type proteins demonstrates a functional interchangeability between these proteins in Drosophila photoreceptor pioneer axons, where both proteins are normally coexpressed. In contrast, the ectopic expression of Fasciclin II in mechanosensory neurons causes a strong enhancement of the axonal misguidance phenotype. Moreover, our findings demonstrate that this functionally redundant specificity to mediate axon guidance has been conserved in their vertebrate homologs, L1-CAM and NCAM.

Animals↗
PubMed2005

A novel locus for autosomal dominant hereditary gingival fibromatosis, GINGF3, maps to chromosome 2p22.3-p23.3.

Hereditary gingival fibromatosis (HGF) is a rare, benign disorder characterized by slowly progressive fibrous overgrowth of the gingiva. To date, two loci have been mapped in familial cases with autosomal dominant non-syndromic HGF: GINGF (MIM 135300) on chromosome 2p21-p22 and GINGF2 (MIM 605544) on chromosome 5q13-q22. Of the two loci, only SOS1 (son of sevenless one, MIM 182530) gene underlying GINGF locus has been identified. Ascertainment of a large Chinese family has allowed the mapping of a novel locus to 2p22.3-p23.3, GINGF3. Haplotype construction and analysis localized the new locus to an 11.4-cM interval between markers D2S2221 (telomeric) and D2S1788 (centromeric). The maximum two-point limit of detection (LOD) score of 3.45 (theta=0) and multipoint LOD score of 5.00 for marker D2S390 strongly supported linkage to this region. Thus, this genetic interval is distal to and does not overlap with the previously described locus, GINGF, on 2p21-p22.

Asian People↗
PubMed1978

Use of overlapping normal distributions in genetic counselling.

If a numerical variable can be assumed to be normally, but differently, distributed in each of two or more populations, then for an 'unknown' individual whose numerical value is known the relative probability of his belonging to each of the populations can be simply calculated. We briefly review the method and its application in genetic counselling.

Genes↗
PubMed2003

Genetic and environmental contributions to obesity and binge eating.

OBJECTIVE: Binge eating is present in a substantial proportion of obese individuals. A tendency toward obesity has been identified as a risk factor for eating disorders such as bulimia nervosa and binge eating disorder. The purpose of this article was to determine the extent of overlap between genetic and environmental factors that contribute to the liability to obesity and binge eating. RESEARCH METHOD: In a population-based sample of 2163 female twins, we conducted bivariate twin modeling to explore the relation between the genetic and environmental risk factors for obesity and binge eating. RESULTS: Bivariate twin modeling revealed substantial heritability for obesity (0.86: 95% CI, 0.77-0.94), moderate heritability for binge eating (0.49: 95% CI, 0.38-0.61), and a modest genetic correlation of +.34 (95% CI, 0.19-0.50) between the two traits. CONCLUSIONS: Both binge eating and obesity are heritable conditions, and there seems to be only modest overlap in the genetic risk factors that increase liability to each condition.

Adolescent↗
PubMed1976

Statistical resolution of genetic heterogeneity in familial disease.

If a disease can be split into two or more groups on any criterion (clinical, biochemical, physiological or statistical) then the grouping can be tested to establish if genetically independent forms of the disease have been identified. The data required are simply the frequencies of the two disease groups in relatives of probands for each of the disease groups. A systematic search for such distinct groups is proposed in searches for genetic heterogeneity in familial diseases. In disease forms with overlapping, correlated genetic liabilities, the method of Falconer (1967) can be used to estimate the genetic correlation. However, when the groupings of the disease are confounded (such as one form precluding the other as in early and late onset diabetes) Falconer's method will be biased. Special methods of analysis to estimate the genetic parameters have been developed and are presented here. However, even when the groupings are confounded the Falconer method still gives reasonable estimates of the genetic correlation, in that they are unlikely to seriously mislead the investigator in the analysis and interpretation of observed data. In practice Falconer's simple method may be preferred to the more complex methods developed here because it involves fewer assumptions and can be applied over a wider range of circumstances.

Anencephaly↗
PubMed1991

Characterization of the opposite-strand genes from the mouse bidirectionally transcribed HTF9 locus.

The mouse HTF9 locus contains two genes that are bidirectionally transcribed with opposite polarity from a shared CpG-rich island. Both genes were previously shown to be expressed in a housekeeping fashion in mouse. We have now determined the molecular organization of the genes over 12 kb surrounding the island. In addition, we show that the HTF9 locus resides in the proximal region of mouse chromosome 16. We have sequenced the cDNAs corresponding to both divergent transcripts. Both genes appear to code for novel proteins that are structurally unrelated to each other. Finally, we show that both genes are highly conserved and efficiently expressed in human cells.

Amino Acid Sequence↗
PubMed2006

Sex differences in the influence of COMT Val158Met on alcoholism and smoking in plains American Indians.

BACKGROUND: Alcoholism and heavy smoking are highly comorbid and are cotransmitted in the general U.S. population; however little is known about comorbidity in American Indians. The catechol-O-methyltransferase (COMT) functional polymorphism, Val158Met, has been associated with alcoholism in Caucasians. The aims of our study were firstly to investigate patterns of alcohol and tobacco consumption and comorbidity between alcoholism and smoking in Plains American Indians and secondly to determine the influence, including sexual dimorphic effects, of COMT Val158Met and COMT haplotypes, on these behaviors. METHODS: Diagnostic and Statistical Manual-III-R lifetime diagnoses were assigned to 342 community-ascertained Plains American Indians (201 women, 141 men). Lifetime drinking and smoking histories were obtained. Five COMT loci, including Val158Met, were genotyped. Haplotype-based analyses identified 1 block with 3 common haplotypes; 2 included Val158, and 1 had the Met158 allele. RESULTS: The alcoholics drank heavily (12+/-8 drinks/drinking day) but episodically (max 10+/-8 d/mo). Although 62% of male alcoholics and 40% of female alcoholics were smokers (> or =10 cigarettes/d), only 12% of alcoholic men and 8% of alcoholic women smoked heavily (>20/d). In women, the COMT Val158 allele frequency was maximal in alcoholic smokers (0.85), decreasing to 0.74 in nonalcoholic smokers, 0.67 in alcoholic nonsmokers, and 0.64 in nonalcoholic nonsmokers (chi2 = 11.1, 3 df, p = 0.011). Women showed a main effect of Val158 on smoking (p=0.003). Both male and female alcoholics were more likely to have at least 1 Val158 allele compared with nonalcoholics (0.95 vs 0.88, p < 0.05). Approximately 30% of all participants were long-term, nonaddicted light, social smokers (3.6+/-1.7 cigarettes/d); they had the same Val158Met frequencies as nonsmokers. Haplotype analyses supported the Val158Met findings; however, only 1 of the 2 Val158 haplotypes was implicated. CONCLUSIONS: Plains Indians have different smoking and drinking patterns and considerably less comorbidity between alcoholism and heavy smoking compared with the general U.S. population. Our COMT Val158Met results suggest that there may be both sex differences in the genetic origins of alcoholism and smoking in this population and overlap in genetic vulnerability to both addictions in women.

Adult↗
PubMed1991

Atypical facio-scapulo-humeral muscular dystrophy--a counselling dilemma.

In an isolated male patient, differentiation between Facio-Scapulo-Humeral Muscular Dystrophy (FSH) and Becker Muscular Dystrophy (BMD) may be difficult. To emphasise this point, we report a patient, whose features are atypical of FSH. Details of his daughter who now manifests similar presenting features, are provided. The pitfalls posed for the genetic counsellor by FSH presenting in an atypical manner which clinically overlaps with genetically distinct conditions are discussed in the light of this pedigree.

Adult↗
PubMed2025

Combinatorial genome engineering of pseudorabies virus Bartha by developing a reverse genetic system based on three overlapping genomic segments.

INTRODUCTION: The 138-kilobase genome of pseudorabies virus vaccine strain Bartha K61 harbors many nonessential genes for replication and exhibits remarkable capacity for incorporating foreign genes for therapeutic applications. However, the large size of the Bartha genome complicates its efficient engineering. OBJECTIVES: Development of a reverse genetic system for pseudorabies virus Bartha based on three overlapping genomic segments to facilitate multiplex genome engineering. METHODS: The 138-kb genome of Bartha was split into three overlapping segments (42&#xa0;kb, 43&#xa0;kb, and 53&#xa0;kb), each cloned in a bacterial artificial chromosome (BAC) to facilitate genome engineering. The infectious virus was reconstituted by transfecting the 3 genomic fragments released from the BACs into Vero cells in which a complete virus genome was assembled using 2-kb overlaps between adjacent pieces. RESULTS: Employing the reverse genetic system, we individually deleted 15 candidate nonessential genes and confirmed that 10 were dispensable for viral growth in cell culture. Deletion of 7 nonessential genes had no impact on viral growth, whereas UL47 deletion reduced viral growth rate and deletions of UL44, UL47, or US3 resulted in smaller viral plaques. A total of 45 viral genomes with double deletions of nonessential genes were constructed, among which 22 were successfully rescued into infectious virions. Fifteen double-deletion mutant viruses had a viral titer comparable with the wild-type Bartha, while the remaining 7 showed a lower titer. Additionally, expressions of the mNeonGreen reporter gene at nonessential gene loci were evaluated. Cells infected with recombinant viruses carrying mNeonGreen at 8 loci showed strong green fluorescence, whereas those with mNeonGreen at 2 loci exhibited very weak fluorescence. CONCLUSION: The reverse genetic system developed in this study enables rapid and combinatorial engineering of viruses with the large DNA genome, and will accelerate development of large DNA virus-based therapeutics including live-attenuated vaccines, vector vaccines, and oncolytic herpesviruses.

Herpesvirus 1, Suid↗
PubMed2002

Comparative sequence analysis of the X-inactivation center region in mouse, human, and bovine.

We have sequenced to high levels of accuracy 714-kb and 233-kb regions of the mouse and bovine X-inactivation centers (Xic), respectively, centered on the Xist gene. This has provided the basis for a fully annotated comparative analysis of the mouse Xic with the 2.3-Mb orthologous region in human and has allowed a three-way species comparison of the core central region, including the Xist gene. These comparisons have revealed conserved genes, both coding and noncoding, conserved CpG islands and, more surprisingly, conserved pseudogenes. The distribution of repeated elements, especially LINE repeats, in the mouse Xic region when compared to the rest of the genome does not support the hypothesis of a role for these repeat elements in the spreading of X inactivation. Interestingly, an asymmetric distribution of LINE elements on the two DNA strands was observed in the three species, not only within introns but also in intergenic regions. This feature is suggestive of important transcriptional activity within these intergenic regions. In silico prediction followed by experimental analysis has allowed four new genes, Cnbp2, Ftx, Jpx, and Ppnx, to be identified and novel, widespread, complex, and apparently noncoding transcriptional activity to be characterized in a region 5' of Xist that was recently shown to attract histone modification early after the onset of X inactivation.

Animals↗
PubMed2026

Mapping Focal and Generalized Effects of Common Genetic Variants on Human Brain Structure.

Genome-wide association studies (GWAS) have advanced the quest to understand how specific genetic variants influence human brain structure and function. Recent work has identified hundreds of common variants associated with subcortical brain volumes, sparking interest in how these genetic markers overlap across brain networks. While this can be estimated by hierarchical clustering of the genetic correlation matrix to identify modular patterns of shared architecture, no brain-wide maps of these effects are available. To address this, we computed polygenic scores (PGS) from loci associated with ten brain volume regions of interest (ROIs): nine major subcortical structures and intracranial volume, with each locus weighted by its association with regional volume. In an independent sample from the discovery GWAS, we performed large-scale segmentation of 3D volumetric T1-weighted MRI scans using voxel-based morphometry (VBM) to map 3D profile of regions where gray matter volume (GMV) was associated with each PGS. We found statistically significant, localized effects for PGS defined for the amygdala, thalamus, and basal ganglia, but PGS for brainstem volume was associated with widespread differences throughout the brain. These brain-wide maps reveal patterns consistent with both localized and distributed genetic influences, offering a novel approach to interpret the genomic architecture of brain structure.

GWAS↗
PubMed2002

Schizophrenia and bipolar disorder: similarities in pathogenic mechanisms but differences in neurodevelopment.

Over the past 100 years, the Kraepelinian classification of psychoses has dominated our approach to schizophrenia and bipolar disorder. However, controversy as to the nature of the illnesses--whether they can be viewed as completely distinct, essentially the same, or occupying different points along a psychosis spectrum--has intensified in recent years. This paper reviews the evidence for these differing opinions, examining both the commonalities between the two diseases and the distinctions. A genetic propensity towards psychotic disorders is widely acknowledged; more recent studies suggest a considerable overlap in genetic susceptibility to schizophrenia and bipolar disorder. The influence of early environmental effects, such as obstetric complications, on schizophrenia is also established but little such evidence exists for bipolar disorder. Structural abnormalities of the brain of developmental origin as well as neuropsychological deficits have been clearly identified in schizophrenia but less evidence has been found in bipolar disorder. The most plausible explanation is that one or more susceptible genes are shared between schizophrenia and bipolar illness, and can be thought of as predisposing individuals to psychosis, perhaps by producing a dysregulation of the dopaminergic response to stress. Other genes and environmental factors are likely to have more specific effects and contribute to producing the patterns that psychiatrists recognize as 'classical' schizophrenia and mania. In particular, genes involved in early cortical development and early neurodevelopmental insults causing developmental impairment may put individuals on a trajectory towards schizophrenia rather than bipolar illness.

Adult↗