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Laura Almasy

Publications and source records attributed to Laura Almasy.

At least 19 recordsLinked to original sources

Determinants of functional burden pleiotropy and gene dosage responses across human traits.

Pleiotropic and monotonic effects of gene dosage are central to understanding comorbidities in developmental pediatric and psychiatric disorders, yet the underlying biological processes are not well characterized. Here we develop a functional burden analysis to investigate the association of all protein-coding copy-number variants, genome-wide, with 43 complex traits in approximately 500,000 UK Biobank participants. We test variant associations disrupting 172 tissue or cell-type gene sets, finding associations for all traits, which we replicate in the All of Us cohort. Functional burden pleiotropy, defined as the number of traits significantly associated with a gene set, correlates with genetic constraint and is higher for brain than non-brain functions, even after normalizing for genetic constraint. Levels of pleiotropy, measured by burden correlation, are similar in deletions and loss-of-function single-nucleotide variants, and higher than in common variants and duplications. Most gene dosage responses are non-monotonic, with deletions and duplications showing same-direction effects, and monotonic responses decrease with genetic constraint. We observe associations between functional gene sets and traits for either deletions or duplications, but rarely both, with negatively correlated effect sizes. Together, these results link genetic constraint and brain-specific mechanisms to the whole-body multimorbidity of neurodevelopmental and psychiatric conditions.

Humans↗

Evaluating psychosis-specific effects of trauma exposure in early-onset and adult-onset psychosis.

Trauma is a risk factor for early-onset (EOP) and adult-onset (AOP) psychosis and is also associated with other psychiatric diagnoses and poorer fputcomes in the general population. We examined (1) whether trauma effects are specific to psychosis and (2) whether these effects differ between EOP and AOP.Linear regression models evaluated trauma exposure in two samples (EOP: 647 cases, 694 controls; AOP: 162 cases, 230 controls) as a function of psychotic and nonpsychotic psychiatric diagnosis (NPD) status. Parallel models assessed associations between trauma and symptom severity, global functioning, and cognition. Relative to individuals without psychiatric disorders, participants with psychosis and comorbid NPDs reported the greatest trauma exposure (EOP: β = 0.95; AOP: β = 1.1), followed by those with psychosis only (EOP: β = 0.67; AOP: β = 0.41) and NPDs only (EOP: β = 0.47; AOP: β = 0.36). Greater numbers of NPDs were associated with higher trauma exposure regardless of psychosis status (EOP: β = 0.15; AOP: β = 0.24). Trauma was associated with greater symptom severity (EOP: β = 0.13; AOP: β = 0.14) and poorer global functioning (EOP: β = -0.21; AOP: β = -0.13), but not cognition. No psychosis-by-trauma interactions were observed.Psychosis-specific effects were limited to greater trauma exposure, while trauma-related impacts on outcomes were similar across diagnostic groups. Findings were consistent across EOP and AOP. Results highlight the need for trauma-informed care in psychiatry given broad effects that influence disease course and prognosis.

Humans↗

Genetic study of von Willebrand factor antigen levels ≤ 50 IU/dL identifies variants associated with increased risk of von Willebrand disease and bleeding.

BACKGROUND: von Willebrand disease (VWD) is a common inherited bleeding disorder caused by low levels or activity of circulating von Willebrand factor (VWF). Genetic susceptibility to VWF antigen (VWF:Ag) below normal (&#x2264; 50 IU/dL) in the general population is underexplored. OBJECTIVES: To identify genetic variants influencing VWF:Ag levels &#x2264; 50 IU/dL. METHODS: We performed a genome-wide association study in 926 cases with VWF:Ag levels &#x2264; 50 IU/dL and 12 846 controls from 7 studies from the Trans-Omics for Precision Medicine program. We then examined whether significant genome-wide findings were also associated with clinical diagnosis of VWD in 5 biobanks with 708 VWD cases and 1 286 069 controls, and with 6 bleeding and thrombotic disorders in FinnGen. RESULTS: Variants at 2 loci were associated (P < 5 &#xd7; 10-9) with VWF:Ag levels &#x2264; 50 IU/dL: ABO and VWF. The VWF index variant, p.Tyr1584Cys, is a rare (0.22%) missense variant with odds ratio (OR) of 78.58, while the ABO index variant is a common intronic variant with a smaller effect (OR = 2.52). Notably, both VWF (OR = 7.16) and ABO (OR = 1.57) variants were also associated (P < .025) with diagnosed VWD. Among p.Tyr1584Cys heterozygotes, the penetrance of VWF:Ag levels &#x2264; 50 IU/dL was 24.2% and the penetrance of diagnosed VWD was 0.3%. p.Tyr1584Cys was associated (P < .0042) with increased odds of heavy menstrual bleeding (OR = 1.27), iron deficiency anemia (OR = 1.55), and intrapartum hemorrhage (OR = 2.20), but decreased odds of deep vein thrombosis (OR = 0.54). CONCLUSIONS: Although there are currently conflicting interpretations of pathogenicity p.Tyr1584Cys, our results suggest that it is a low penetrance pathogenic variant that contributes to VWF:Ag levels &#x2264; 50 IU/dL, bleeding, and VWD.

Humans↗

Gene dosage architecture across complex traits.

UNLABELLED: Copy number variants (CNVs) have large effects on complex traits, but they are rare and remain challenging to study. As a result, our understanding of biological functions linking gene dosage to complex traits remains limited, and whether these functions sensitive to gene dosage are similar to those underlying the effects of rare single nucleotide variants (SNVs) and common variants remains unknown. METHODS: We developed FunBurd, a functional burden analysis, to test the association of CNVs aggregated within functional gene sets. We applied this approach in 500,000 individuals from the UK Biobank to associate 43 complex traits with CNVs disrupting 172 gene sets across tissues and cell types. We compared CNV findings with those from common variants and LoF (Loss of Function) SNVs in the same cohort using the same functional gene sets. RESULTS: All 43 traits showed FDR significant associations with CNVs. Brain tissue and neuronal cell-types showed the highest levels of pleiotropy. Most of the functional gene set associations could, in part, be explained by genetic constraint, except for brain related processes. Shared genetic contributions between pairs of traits were concordant across types of variants, but on average 2-fold higher, for rare CNVs and SNVs compared to common variants.Functional enrichment across traits found limited overlap between CNVs and common variants. Moreover, the effects of deletions and duplications were negatively correlated for most traits.In conclusion, we present new methods to separate the contributions of genetic constraint and gene function to the associations of CNVs with complex traits. Overall, the functional convergence between different types of variants -even between deletions and duplications-remains limited.

Journal Article↗

Adjudicating neurocognitive endophenotypes for schizophrenia.

Although genetic influences on schizophrenia are well established, localization of the genes responsible for this illness has proven extremely difficult. Given evidence that genes predisposing to schizophrenia may be transmitted without expression of the clinical phenotype, efforts have focused on developing endophenotypes. While several neuropsychological measures have been proposed to be endophenotypes, few studies have systematically assessed batteries of neurocognitive tests to determine which tests are most sensitive to liability for the illness. Two hundred sixty-nine Latino individuals were administered a standard neuropsychological battery. Two hundred fourteen of these were members of families with at least two siblings diagnosed with schizophrenia or schizoaffective disorder. The remaining were community controls without history of major psychiatric illness. Neurocognitive measures found to be heritable were entered into analyses designed to determine which tests covary with the degree of genetic relationship to affected individuals. Although five measures were found to uniquely model genetic liability for schizophrenia, digit symbol coding was the most sensitive. To assess the specificity of these endophenotypes, performance on these measures were compared to family members with bipolar and unipolar affective disorders. These markers clearly distinguished between individuals with psychotic illnesses and those with major depression. As measures contributed uniquely to discriminate individuals at varying risk for schizophrenia, our findings imply multiple independently inherited elements to the liability for the illness. We present a practical model for adjudicating endophenotypes and determining which measures are best suited for use in linkage analyses.

Adolescent↗

A quantitative trait loci-specific gene-by-sex interaction on systolic blood pressure among American Indians: the Strong Heart Family Study.

Age-adjusted systolic blood pressure is higher in males than females. Genetic factors may account for this sex-specific variation. To localize sex-specific quantitative trait loci (QTL) influencing blood pressure, we conducted a genome scan of systolic blood pressure, in males and females, separately and combined, and tested for aggregate and QTL-specific genotype-by-sex interaction in American Indian participants of the Strong Heart Family Study. Blood pressure was measured 3 times and the average of the last 2 measures was used for analyses. Systolic blood pressure was adjusted for age and antihypertensive treatment within study center. We performed variance component linkage analysis in the full sample and stratified by sex among 1168 females and 726 males. Marker allele frequencies were derived using maximum likelihood estimates based on all individuals, and multipoint identity-by-descent sharing was estimated using Loki. We detected suggestive evidence of a QTL influencing systolic blood pressure on chromosome 17 at 129 cM between markers D17S784 and D17S928 (logarithm of odds [LOD] = 2.4). This signal substantially improved when accounting for QTL-specific genotype-by-sex interaction (P = 0.04), because we observed an LOD score of 3.3 for systolic blood pressure in women on chromosome 17 at 136 cM. The magnitude of the linkage signal on chromosome 17q25.3 was slightly attenuated when participants taking antihypertensive medications were excluded, although suggestive evidence for linkage was still identified (LOD = 2.8 in women). Accounting for interaction with sex improved our ability to detect QTLs and demonstrated the importance of considering genotype-by-sex interaction in our search for blood pressure genes.

Adult↗

A novel missense mutation in the transmembrane domain of neuregulin 1 is associated with schizophrenia.

BACKGROUND: Although genetic factors are known to play an important role in schizophrenia, the identification of genes involved in this disorder has remained elusive. The neuregulin 1 gene is among the few candidate genes to have been implicated in schizophrenia susceptibility in several populations. However, no causal mutations within this gene have been identified. METHODS: In attempts to identify polymorphisms within the neuregulin 1 gene, we performed DNA sequencing using 12 subjects with a history of psychosis from the Central Valley of Costa Rica. DNA genotyping and association studies were then performed in an extended cohort of 142 affected individuals and their relatives from the same population. RESULTS: We identified a novel missense mutation (Val to Leu) in exon 11, which codes for the transmembrane region of the neuregulin 1 protein. Association analysis by the Family Based Association Test (FBAT) revealed that this mutation is associated with psychosis (p = .0049) and schizophrenia (p = .0191) in this population. CONCLUSIONS: We report the finding of a missense mutation in the neuregulin 1 gene associated with schizophrenia. Additional analyses of an independent sample as well as detailed functional studies should be performed to determine the relevance of this novel polymorphism to the pathophysiology of schizophrenia.

Animals↗

A quantitative trait locus (QTL) on chromosome 6q influences birth weight in two independent family studies.

Low birth weight is an important cause of infant mortality and morbidity worldwide. Birth weight has been shown to be inversely correlated with adult complex diseases such as obesity, type-2 diabetes and cardiovascular disease. However, little is known about the genetic factors influencing variation in birth weight and its association with diseases that occur in later life. We, therefore, have performed a genome-wide search to identify genes that influence birth weight in Mexican-Americans using the data from the San Antonio Family Birth Weight Study participants (n=840). Heritability of birth weight was estimated as 72.0+/-8.4% (P<0.0001) after adjusting for the effects of sex and term. Multipoint linkage analysis yielded the strongest evidence for linkage of birth weight (LOD=3.7) between the markers D6S1053 and D6S1031 on chromosome 6q. This finding has been replicated (LOD=2.3) in an independent European-American population. Together, these findings provide substantial evidence (LOD(adj)=4.3) for a major locus influencing variation in birth weight. This region harbors positional candidate genes such as chorionic gonadotropin, alpha chain; collagen, type XIX, alpha-1; and protein-tyrosine phosphatase, type 4A, 1 that may play a role in fetal growth and development. In addition, potential evidence for linkage (LOD>or=1.2) was found on chromosomes 1q, 2q, 3q, 4q, 9p, 19p and 19q with LODs ranging from 1.3 to 2.7. Thus, we have found strong evidence for a major gene on chromosome 6q that influences variation in birth weight in both Mexican- and European-Americans.

Birth Weight↗

Association of alcohol dehydrogenase genes with alcohol dependence: a comprehensive analysis.

Linkage evidence indicated that gene(s) located on chromosome 4q, in the region of the alcohol dehydrogenase (ADH) genes, affected risk for alcoholism. We genotyped 110 single nucleotide polymorphisms (SNPs) across the seven ADH genes and analyzed their association with alcoholism in a set of families with multiple alcoholic members, using the pedigree disequilibrium test. There was strong evidence that variations in ADH4 are associated with alcoholism: 12 SNPs were significantly associated. The region of strongest association ran from intron 1 to 19.5 kb beyond the 3' end of the gene. Haplotype tag SNPs were selected for the block in the ADH4 gene that provided evidence of association and subsequently used in association analysis; the haplotype was significantly associated with alcoholism (P=0.01) There was weaker evidence that variations in ADH1A and ADH1B might also play a role in modifying risk. Among African-Americans, there was evidence that the ADH1B*3 allele was protective.

Alcohol Dehydrogenase↗

The role of GABRA2 in risk for conduct disorder and alcohol and drug dependence across developmental stages.

We use findings from the behavior genetics literature about how genetic factors (latently) influence alcohol dependence and related disorders to develop and test hypotheses about the risk associated with a specific gene, GABRA2, across different developmental stages. This gene has previously been associated with adult alcohol dependence in the Collaborative Study of the Genetics of Alcoholism (COGA) sample [Edenberg, H. J., Dick, D. M., Xuei, X., Tian, H., Almasy, L., Bauer, L. O., Crowe, R., Goate, A., Hesselbrock, V., Jones, K. A., Kwon, J., Li, T. K., Nurnberger Jr., J. I., O'Connor, S. J., Reich, T., Rice, J., Schuckit, M., Porjesz, B., Foroud, T., and Begleiter, H. (2004). Am. J. Hum. Genet. 74:705-714] and other studies [Covault, J., Gelernter, J., Hesselbrock, V., Nellissery, M., and Kranzler, H. R. (2004). Am. J. Med. Genet. B Neuropsychiatr. Genet. 129B:104-109; Lappalainen, J., Krupitsky, E., Remizov, M., Pchelina, S., Taraskina, A., Zvartau, E., Somberg, L. K., Covault, J., Kranzler, H. R., Krystal, J., and Gelernter, J. (2005). Alcohol. Clin. Exp. Res. 29:493-498]. In a sample of children and adolescents ascertained as part of the COGA project, we find that GABRA2 is significantly associated with childhood conduct disorder symptoms, but not with childhood alcohol dependence symptoms. A consistent elevation in risk for alcohol dependence associated with GABRA2 is not evident until the mid-20s and then remains throughout adulthood. GABRA2 is also associated with other drug dependence in our sample, both in adolescence and adulthood.

Adolescent↗

A genomewide search finds major susceptibility loci for gallbladder disease on chromosome 1 in Mexican Americans.

Gallbladder disease (GBD) is one of the major digestive diseases. Its risk factors include age, sex, obesity, type 2 diabetes, and metabolic syndrome (MS). The prevalence of GBD is high in minority populations, such as Native and Mexican Americans. Ethnic differences, familial aggregation of GBD, and the identification of susceptibility loci for gallstone disease by use of animal models suggest genetic influences on GBD. However, the major susceptibility loci for GBD in human populations have not been identified. Using ultrasound-based information on GBD occurrence and a 10-cM gene map, we performed multipoint variance-components analysis to localize susceptibility loci for GBD. Phenotypic and genotypic data from 715 individuals in 39 low-income Mexican American families participating in the San Antonio Family Diabetes/Gallbladder Study were used. Two GBD phenotypes were defined for the analyses: (1) clinical or symptomatic GBD, the cases of cholecystectomies due to stones confirmed by ultrasound, and (2) total GBD, the clinical GBD cases plus the stone carriers newly diagnosed by ultrasound. With use of the National Cholesterol Education Program/Adult Treatment Panel III criteria, five MS risk factors were defined: increased waist circumference, hypertriglyceredemia, low high-density lipoprotein cholesterol, hypertension, and high fasting glucose. The MS risk-factor score (range 0-5) for a given individual was used as a single, composite covariate in the genetic analyses. After accounting for the effects of age, sex, and MS risk-factor score, we found stronger linkage signals for the symptomatic GBD phenotype. The highest LOD scores (3.7 and 3.5) occurred on chromosome 1p between markers D1S1597 and D1S407 (1p36.21) and near marker D1S255 (1p34.3), respectively. Other genetic locations (chromosomes 2p, 3q, 4p, 8p, 9p, 10p, and 16q) across the genome exhibited some evidence of linkage (LOD >or=1.2) to symptomatic GBD. Some of these chromosomal regions corresponded with the genetic locations of Lith loci, which influence gallstone formation in mouse models. In conclusion, we found significant evidence of major genetic determinants of symptomatic GBD on chromosome 1p in Mexican Americans.

Adult↗

A cholinergic receptor gene (CHRM2) affects event-related oscillations.

We report genetic linkage and association findings which implicate the gene encoding the muscarinic acetylcholine receptor M2 (CHRM2) in the modulation of a scalp-recorded electrophysiological phenotype. The P3 (P300) response was evoked using a three-stimulus visual oddball paradigm and a phenotype that relates to the energy in the theta band (4-5 Hz) was analyzed. Studies have shown that similar electrophysiological measures represent cognitive correlates of attention, working memory, and response selection; a role has been suggested for the ascending cholinergic pathway in the same functions. The results of our genetic association tests, combined with knowledge regarding the presence of presynaptic cholinergic M2 autoreceptors in the basal forebrain, indicate that the cognitive processes required by the experiment may in part be mediated by inhibitory neural networks. These findings underscore the utility of electrophysiology and neurogenetics in the understanding of cognitive function and the study of brain-related disorders.

Chromosome Mapping↗

Heritability and linkage analysis of hand, foot, and eye preference in Mexican Americans.

Functional lateralities are of interest due to their relationship with cerebral lateralisation and language development. However, genes influencing sidedness remain elusive. We measured direction and consistency of hand, foot, and eye preference in 584 Mexican-Americans from families participating in the San Antonio Family Diabetes/Gallbladder Study. Using maximum-likelihood-based variance components methods, we estimated weak (.11 <or= h2<or=.17) but significant heritability for foot preference, eye preference, several hand preferences (writing, drawing, throwing, using scissors, using spoon, striking match), and a composite hand preference trait. Self-reported handedness was significantly heritable (h2=.57), whereas hand preference for opening a box or using a toothbrush or knife was not. Many trait pairs had significant genetic correlations, and all had significant environmental correlations. Using genome-wide multipoint linkage screens using 382 highly informative autosomal STR markers, we identified suggestive linkage signals for drawing (LOD 2.10) and writing (LOD 2.00) hand preference on chromosome 12q21-23, in the region flanked by markers D12S1300 and PAH. A suggestive signal (LOD 2.46) for eye preference occurred on chromosome 22pter, near marker D22S420. No obvious candidate genes occur in these regions. Our results indicate that genes are an important component of side preferences, and suggest chromosomal regions for further investigation.

Choice Behavior↗

Linkage disequilibrium analyses in the Costa Rican population suggests discrete gene loci for schizophrenia at 8p23.1 and 8q13.3.

Linkage studies using multiplex families have repeatedly implicated chromosome 8 as involved in schizophrenia etiology. The reported areas of linkage, however, span a wide chromosomal region. The present study used the founder population of the Central Valley of Costa Rica and phenotyping strategies alternative to DSM-IV classifications in attempts to further delimitate the areas on chromosome 8 that may harbor schizophrenia susceptibility genes. A linkage disequilibrium screen of chromosome 8 was performed using family trios of individuals with a history of psychosis. Four discrete regions showing evidence of association (nominal P values less than 0.05) to the phenotype of schizophrenia were identified: 8p23.1, 8p21.3, 8q13.3 and 8q24.3. The region of 8p23.1 precisely overlaps a region showing strong evidence of linkage disequilibrium for severe bipolar disorder in Costa Rica. The same chromosomal regions were identified when the broader phenotype definition of all individuals with functional psychosis was used for analyses. Stratification of the psychotic sample by history of mania suggests that the 8q13.3 locus may be preferentially associated with non-manic psychosis. These results may be helpful in targeting specific areas to be analyzed in association-based or linkage disequilibrium-based studies, for researchers who have found evidence of linkage to schizophrenia on chromosome 8 within their previous studies.

Chromosome Mapping↗

Marital status, alcohol dependence, and GABRA2: evidence for gene-environment correlation and interaction.

OBJECTIVE: The gene GABRA2 has been associated with the risk for alcohol dependence in independent samples. This article explores how this genetic risk factor interacts with marital status, another factor previously shown to be associated with the risk for alcohol dependence. METHOD: Data from more than 1,900 male and female subjects from the Collaborative Study of the Genetics of Alcoholism (COGA) sample were analyzed. Subjects were recruited based on membership in a family with multiple individuals with alcoholism. A series of analyses was performed to evaluate the relationship between the following: (1) GABRA2 and alcohol dependence, (2) marital status and alcohol dependence, (3) GABRA2 and marital status, and (4) interactions between GABRA2 and marital status on the development of alcohol dependence in the high-risk COGA sample. Additional analyses were carried out in a sample of approximately 900 individuals from control families to test the generalizability of results. RESULTS: Both GABRA2 and marital status contributed independently to the development of alcohol dependence in the COGA sample. The high-risk genotype at GABRA2 was also related to a decreased likelihood of marrying and an increased likelihood of divorce, which appeared to be mediated in part by personality characteristics. There was also differential risk associated with the GABRA2 genotype according to marital status. CONCLUSIONS: These analyses provide evidence of both gene-environment correlation and gene-environment interaction associated with GABRA2, marital status, and alcohol dependence. They illustrate the complex pathways by which genotype and environmental risk factors act and interact to influence alcohol dependence and challenge traditional conceptualizations of "environmental" risk factors.

Adolescent↗

Fasting insulin and obesity-related phenotypes are linked to chromosome 2p: the Strong Heart Family Study.

To localize quantitative trait loci for insulin metabolism and obesity, genome scans/linkage analyses were performed on >900 members of 32 extended families participating in phase 3 of the Strong Heart Study, an investigation of the genetic and environmental determinants of cardiovascular disease in American-Indian populations from Arizona, Oklahoma, and North and South Dakota. Linkage analyses of fasting insulin and two obesity-related phenotypes, BMI and percent fat mass, were performed independently in each of the three populations. For log fasting insulin, we found a genome-wide maximum, robust logarithm of odds (LOD) score of 3.42 at 51 cM on chromosome 2p in the Dakotas. Bivariate linkage analyses of log fasting insulin with both BMI and fat mass indicate a situation of incomplete pleiotropy, as well as several significant bivariate LOD scores in the Dakotas.

Adolescent↗

Smoothing of the bivariate LOD score for non-normal quantitative traits.

Variance component analysis provides an efficient method for performing linkage analysis for quantitative traits. However, type I error of variance components-based likelihood ratio testing may be affected when phenotypic data are non-normally distributed (especially with high values of kurtosis). This results in inflated LOD scores when the normality assumption does not hold. Even though different solutions have been proposed to deal with this problem with univariate phenotypes, little work has been done in the multivariate case. We present an empirical approach to adjust the inflated LOD scores obtained from a bivariate phenotype that violates the assumption of normality. Using the Collaborative Study on the Genetics of Alcoholism data available for the Genetic Analysis Workshop 14, we show how bivariate linkage analysis with leptokurtotic traits gives an inflated type I error. We perform a novel correction that achieves acceptable levels of type I error.

Alcoholism↗