Biomedical subjects

Jessica Su

Publications and source records attributed to Jessica Su.

10 recordsLinked to original sources

PubMed2006

Genome scan of Han Chinese schizophrenia families from Taiwan: confirmation of linkage to 10q22.3.

OBJECTIVE: Genome-wide linkage analyses of schizophrenia have identified several regions that may harbor schizophrenia susceptibility genes, but given the complex etiology of the disorder, it is unlikely that all susceptibility regions have been detected. To address this issue, the authors ascertained 606 Han Chinese families comprising 1,234 affected members. METHOD: Probands with schizophrenia were recruited from six data collection field research centers in Taiwan. Each proband underwent a diagnostic screen with supplemental medical records and a semistructured interview. Following this screen, the authors administered the Mandarin Chinese version of the Diagnostic Interview for Genetic Studies. Best-estimate final diagnoses were made by two board-certified psychiatrists. The genotyping was conducted by the Center for Inherited Disease Research, with 386 markers spaced at an average of 9-centimorgan (cM) intervals. Empirical simulations were generated to determine genome-wide significance. RESULTS: The authors found five regions with nonparametric linkage z scores 2.0 or greater. These were the following: 2.08 was reached for D1S551 (113.7) cM at 1p31.1 and 2.31 for D2S410 (125.2 cM) at 2q14.1; 2.00 was reached for D4S2361 (93.5 cM) at 4q21.23, and 2.07 for D15S1012 (36 cM) at 15q14, the largest nonparametric linkage z score was 2.88 for D10S2327 (100.92 cM) at 10q22.3. CONCLUSIONS: Our 10q22.3 finding at 100.9 cM is consistent with a previously reported nonparametric linkage score of 4.27 at 107.2 cM on chromosome 10, although it did not attain genome-wide significance in this study.

Asian People↗

PubMed2006

Sex differences in language dysfunction in schizophrenia.

OBJECTIVE: Normal sex differences in language functions are disrupted in schizophrenia. However, identification of specific language components most vulnerable in schizophrenia and how they may differ by sex remain unexamined. The current study investigated this issue in the domains of phonology, semantics, and grammar, which have been closely linked with neuroanatomic regions for which sex differences have been identified. METHOD: Thirty-one outpatients with DSM-III-R schizophrenia and 27 healthy subjects comparable within sex on age, handedness, parental socioeconomic status, and ethnicity were systematically ascertained from a Boston catchment area. The subjects were administered an extensive language battery in the context of a comprehensive neuropsychological battery that included measures of phonology, semantics, and grammar. RESULTS: Male patients performed significantly worse than their healthy counterparts on all three domains, with phonology least affected. In contrast, language function was relatively preserved in the female patients, compared to their healthy counterparts, with phonology most affected. Across domains, the effect sizes in comparisons of male patients and healthy male subjects had a twofold difference, whereas the difference in effect sizes in comparisons of female patients and healthy female subjects was less in all areas. CONCLUSIONS: Findings were consistent with prior evidence of overall language dysfunction in schizophrenia and may have implications for understanding sex differences in neuroanatomic abnormalities in regions associated with phonological processing.

Adult↗

PubMed2005

Genomic screening in family-based association testing.

Due to the recent gains in the availability of single-nucleotide polymorphism data, genome-wide association testing has become feasible. It is hoped that this additional data may confirm the presence of disease susceptibility loci, and identify new genetic determinants of disease. However, the problem of multiple comparisons threatens to diminish any potential gains from this newly available data. To circumvent the multiple comparisons issue, we utilize a recently developed screening technique using family-based association testing. This screening methodology allows for the identification of the most promising single-nucleotide polymorphisms for testing without biasing the nominal significance level of our test statistic. We compare the results of our screening technique across univariate and multivariate family-based association tests. From our analyses, we observe that the screening technique, applied to different settings, is fairly consistent in identifying optimal markers for testing. One of the identified markers, TSC0047225, was significantly associated with both the ttth1 (p = 0.004) and ttth1-ttth4 (p = 0.004) phenotype(s). We find that both univariate- and multivariate-based screening techniques are powerful tools for detecting an association.

Family↗

PubMed2005

Comparison of linkage and association strategies for quantitative traits using the COGA dataset.

Genome scans using dense single-nucleotide polymorphism (SNP) data have recently become a reality. It is thought that the increase in information content for linkage analysis as a result of the denser scans will help refine previously identified linkage regions and possibly identify new regions not identifiable using the sparser, microsatellite scans. In the context of the dense SNP scans, it is also possible to consider association strategies to provide even more information about potential regions of interest. To circumvent the multiple-testing issues inherent in association analysis, we use a recently developed strategy, implemented in PBAT, which screens the data to identify the optimal SNPs for testing, without biasing the nominal significance level. We compare the results from the PBAT analysis to that of quantitative linkage analysis on chromosome 4 using the Collaborative Study on the Genetics of Alcoholism data, as released through Genetic Analysis Workshop 14.

Alcoholism↗

PubMed2005

Genomic screening and replication using the same data set in family-based association testing.

The Human Genome Project and its spin-offs are making it increasingly feasible to determine the genetic basis of complex traits using genome-wide association studies. The statistical challenge of analyzing such studies stems from the severe multiple-comparison problem resulting from the analysis of thousands of SNPs. Our methodology for genome-wide family-based association studies, using single SNPs or haplotypes, can identify associations that achieve genome-wide significance. In relation to developing guidelines for our screening tools, we determined lower bounds for the estimated power to detect the gene underlying the disease-susceptibility locus, which hold regardless of the linkage disequilibrium structure present in the data. We also assessed the power of our approach in the presence of multiple disease-susceptibility loci. Our screening tools accommodate genomic control and use the concept of haplotype-tagging SNPs. Our methods use the entire sample and do not require separate screening and validation samples to establish genome-wide significance, as population-based designs do.

Asthma↗

PubMed2004

Evidence for linkage between regulatory enzymes in glycolysis and schizophrenia in a multiplex sample.

Observations of impaired glucose regulation in schizophrenia are long-standing, although their pathological and etiological significance is uncertain. One approach to the issue that minimizes environmental variables (e.g., medication and diet) is to determine whether genes related to glucose regulation show genetic linkage to schizophrenia. We examined the potential role of glucose metabolism in schizophrenia through a genome scan of affection status in schizophrenia and an empirical method for deriving P-values. Data were utilized from the NIMH Genetics Initiative for Schizophrenia dataset, which comprises a total sample consisting of 71 pedigrees containing 218 nuclear families and 987 individuals. A genome scan with 459 markers spaced at an average of 10 cM intervals was conducted using the linkage analysis program Genehunter separately for European- and African-American groups. Enzymes that regulate glycolysis were identified and the genes regulating these enzymes were located through the Online Mendelian Inheritance in Man (OMIM) website. The focus in this study was on genes located near previously reported schizophrenia susceptibility regions. The genome-wide significance of these genes to schizophrenia was assessed using permutation testing. When results were adjusted for multiple testing within and across ethnic groups, 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 2 (PFKFB2; chromosome 1q32.2) achieved genome-wide significance (P = 0.04). In addition, hexokinase 3 (HK3; chromosome 5q35.3) was also suggestive of linkage (P = 0.09). For the European-American sample, PFKFB2 (1q32.2), hexokinase 3 (HK3; 5q35.3), and pyruvate kinase 3 (PK3; chromosome 15q23) achieved significance at the 0.05 level. None of the genes showed significance in the African-American sample. Our results provide further support for the view that genes that regulate glucose metabolism may also influence susceptibility to schizophrenia. More generally, they support the view that relationships between glucose dysregulation and schizophrenia are inherent to the disorder, and are not merely epiphenomena related to medication or other treatment factors.

Black or African American↗

PubMed2004

A genome-wide scan of symptom dimensions in bipolar disorder pedigrees of adult probands.

Although twin and adoption show bipolar disorder (BP) has a strong genetic component, few chromosomal regions have been consistently implicated by molecular genetic studies. To address this issue, we sought to determine if quantitative dimensions of bipolar disorder symptoms would be useful for detecting genes that underlie the susceptibility to bipolar disorder. Subjects were 520 individuals diagnosed with bipolar I, bipolar II or schizoaffective disorder, bipolar type who had participated in the NIMH genetics initiative for bipolar disorder. We constructed symptom scores from 29 psychiatric symptoms recorded in the Diagnostic Interview for Genetic Studies (DIGS). Principal components factor analysis followed by a varimax rotation was used to extract symptom dimensions. Factor scores were calculated for all genotyped individuals in the sample, regardless of affection status. Heritable factors were used in a variance-components linkage analysis, which utilized the exact likelihoods of allele-sharing identical-by-descent for each pair of relatives within each pedigree. The principal components factor analysis resulted in five independent dimensions: depressed state, psychosis, sleep disturbances, psychomotor acceleration, and irritability. Two factors were significantly heritable: depression (h2=0.53, p<0.001) and irritable vs. euphoric mania (h2=0.35, p=0.03). These were subsequently used in a linkage analysis that resulted in LOD scores of <2.0, which are not statistically significant. The five constructs developed through factor analysis appear to be consistent with previous factor analyses. Notably, only the dimensions associated with the type of mood disturbance showed high heritability, which suggests that careful measurements of depression, euphoria and irritability may be particularly useful in clarifying the genetic etiology of bipolar disorder in future studies.

Adult↗

PubMed2004

A novel permutation testing method implicates sixteen nicotinic acetylcholine receptor genes as risk factors for smoking in schizophrenia families.

Smoking is a common correlate of schizophrenia, which leads to medical morbidity. Although twin and adoption studies have consistently implicated genes in the etiology of both smoking and schizophrenia, finding genes has been difficult. Several authors have suggested that clinical or neurobiological features associated with schizophrenia, such as smoking, might improve the ability to detect schizophrenia susceptibility genes by identifying genes related to the etiology of that feature. The objective of this study is to assess evidence for linkage of sixteen nicotinic acetylcholine receptor genes and smoking in schizophrenia families, using data from the NIMH Genetics Initiative for schizophrenia. Sixteen nicotinic acetylcholine receptor genes were selected prior to analysis. We used a multipoint sibling pair linkage analysis program, SIBPAL2, with a smoking trait in schizophrenia families. The significance of the group of candidate genes, in addition to each individual candidate gene, was assessed using permutation testing, which adjusted for multiple comparisons. The group of genes showed significant linkage to the smoking trait after adjusting for multiple comparisons through permutation testing (p = 0.039). In addition, two of the individual candidate genes were significant (CHRNA2, p = 0.044) and (CHRNB2, p = 0.015) and two genes were marginally significant (CHRNA7, p = 0.095; CHRNA1, p = 0.076). The significance of the complex hypothesis, involving sixteen genes, implicates the nicotinic system in smoking for schizophrenic families. Individual gene analysis suggests that CHRNA2 and CHRNB2 may play a particular role in this involvement. Such findings help prioritize genes for future case control studies. In addition, we provide a novel permutation method that is useful in future analyses involving a single hypothesis, with multiple candidate genes.

Adult↗

PubMed2004

Three potential susceptibility loci shown by a genome-wide scan for regions influencing the age at onset of mania.

OBJECTIVE: The age at onset of bipolar disorder is associated with clinical features of the illness, including duration, severity, and pattern of comorbidity with other disorders. Age at onset is familial and heritable, and it correlates inversely with the prevalence of bipolar disorder among relatives. Because age at onset may have utility in resolving the complexity and heterogeneity of the disorder, the authors sought to identify chromosomal loci that harbor the genes influencing this trait. METHOD: A genome scan of 539 genotyped people in 97 families ascertained for the NIMH Bipolar Disorder Genetics Initiative was performed by using multipoint variance-components linkage analysis. RESULTS: The age at onset of mania was significantly heritable in these families. Three chromosomal regions yielded nonsignificant but suggestive multipoint lod scores greater than 2.5, with the strongest evidence observed at markers D12S1292, GATA31B, and GATA50C, on chromosomes 12p, 14q, and 15q, respectively. CONCLUSIONS: Although firm conclusions await an independent replication, these results suggest that three regions of the genome may contain genes influencing the age at onset of mania in bipolar disorder. To the authors' knowledge, these regions have not been implicated previously in risk for the disorder, suggesting that separate sets of genes influence disease susceptibility and the age at which it appears.

Adolescent↗

PubMed2002

Genome scan of three quantitative traits in schizophrenia pedigrees.

BACKGROUND: Twin and adoption studies have consistently implicated genes in the etiology of schizophrenia. Molecular genetic studies have found some consistent support for linkage to many regions of the genome. Despite these encouraging results, none of these findings have achieved genome-wide levels of statistical significance, and none have been consistently replicated. METHODS: This report is a follow-up of a genome scan that analyzed linkage to the diagnosis of schizophrenia in a series of sibling pairs in the National Institute of Mental Health Genetics Initiative for Schizophrenia data. In this report, we use the same sample to assess linkage to three quantitative traits developed from the Scale for the Assessment of Negative Symptoms and the Scale for the Assessment of Positive Symptoms: positive, negative, and disorganized symptoms. RESULTS: We show suggestive linkage to chromosomes 6, 9, and 20 for the disorganized trait and to chromosome 12 for the negative trait. We also show weak association with PAH (phenylalanine hydroxylase) on that chromosome. CONCLUSIONS: The findings on chromosome 6 replicate some prior findings, the other loci are novel. A larger sample would provide more power to detect both linkage and association for this complex disorder.

Alleles↗