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Dive into the research topics where Herlina Y. Handoko is active.

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Featured researches published by Herlina Y. Handoko.


Molecular Psychiatry | 2006

Identification of the semaphorin receptor PLXNA2 as a candidate for susceptibility to schizophrenia

Steven Mah; Matthew R. Nelson; Lynn E. DeLisi; R. H. Reneland; N. Markward; Michael R. James; Dale R. Nyholt; Nicholas K. Hayward; Herlina Y. Handoko; Bryan J. Mowry; Stefan Kammerer; Andreas Braun

The discovery of genetic factors that contribute to schizophrenia susceptibility is a key challenge in understanding the etiology of this disease. Here, we report the identification of a novel schizophrenia candidate gene on chromosome 1q32, plexin A2 (PLXNA2), in a genome-wide association study using 320 patients with schizophrenia of European descent and 325 matched controls. Over 25 000 single-nucleotide polymorphisms (SNPs) located within approximately 14 000 genes were tested. Out of 62 markers found to be associated with disease status, the most consistent finding was observed for a candidate locus on chromosome 1q32. The marker SNP rs752016 showed suggestive association with schizophrenia (odds ratio (OR)=1.49, P=0.006). This result was confirmed in an independent case–control sample of European Americans (combined OR=1.38, P=0.035) and similar genetic effects were observed in smaller subsets of Latin Americans (OR=1.26) and Asian Americans (OR=1.37). Supporting evidence was also obtained from two family-based collections, one of which reached statistical significance (OR=2.2, P=0.02). High-density SNP mapping showed that the region of association spans approximately 60 kb of the PLXNA2 gene. Eight out of 14 SNPs genotyped showed statistically significant differences between cases and controls. These results are in accordance with previous genetic findings that identified chromosome 1q32 as a candidate region for schizophrenia. PLXNA2 is a member of the transmembrane semaphorin receptor family that is involved in axonal guidance during development and may modulate neuronal plasticity and regeneration. The PLXNA2 ligand semaphorin 3A has been shown to be upregulated in the cerebellum of individuals with schizophrenia. These observations, together with the genetic results, make PLXNA2 a likely candidate for the 1q32 schizophrenia susceptibility locus.


Molecular Psychiatry | 2005

Separate and interacting effects within the catechol-O-methyltransferase (COMT) are associated with schizophrenia.

Herlina Y. Handoko; Dale R. Nyholt; Nicholas K. Hayward; Deborah A. Nertney; Hannah De; Windus Lc; McCormack Cm; Hj Smith; Cheryl Filippich; Michael R. James; Bryan J. Mowry

Several lines of evidence have implicated the catechol-O-methyltransferase (COMT) gene as a candidate for schizophrenia (SZ) susceptibility, not only because it encodes a key dopamine catabolic enzyme but also because it maps to the velocardiofacial syndrome region of chromosome 22q11 which has long been associated with SZ predisposition. The interest in COMT as a candidate SZ risk factor has led to numerous case–control and family-based studies, with the majority placing emphasis on examining a functional Val/Met polymorphism within this enzyme. Unfortunately, these studies have continually produced conflicting results. To assess the genetic contribution of other COMT variants to SZ susceptibility, we investigated three single-nucleotide polymorphisms (SNPs) (rs737865, rs4633, rs165599) in addition to the Val/Met variant (rs4680) in a highly selected sample of Australian Caucasian families containing 107 patients with SZ. The Val/Met and rs4633 variants showed nominally significant associations with SZ (P<0.05), although neither of the individual SNPs remained significant after adjusting for multiple testing (most significant P=0.1174). However, haplotype analyses showed strong evidence of an association; the most significant being the three-marker haplotype rs737865-rs4680-rs165599 (global P=0.0022), which spans more than 26 kb. Importantly, conditional analyses indicated the presence of two separate and interacting effects within this haplotype, irrespective of gender. In addition, our results indicate the Val/Met polymorphism is not disease-causing and is simply in strong linkage disequilibrium with a causative effect, which interacts with another as yet unidentified variant ∼20 kb away. These results may help explain the inconsistent results reported on the Val/Met polymorphism and have important implications for future investigations into the role of COMT in SZ susceptibility.


Cancer Research | 2008

Genome-wide copy number analysis in esophageal adenocarcinoma using high-density single-nucleotide polymorphism arrays

Derek J. Nancarrow; Herlina Y. Handoko; B. M. Smithers; D. C. Gotley; Paul A. Drew; D. I. Watson; Andrew D. Clouston; Nicholas K. Hayward; David C. Whiteman

We applied whole-genome single-nucleotide polymorphism arrays to define a comprehensive genetic profile of 23 esophageal adenocarcinoma (EAC) primary tumor biopsies based on loss of heterozygosity (LOH) and DNA copy number changes. Alterations were common, averaging 97 (range, 23-208) per tumor. LOH and gains averaged 33 (range, 3-83) and 31 (range, 11-73) per tumor, respectively. Copy neutral LOH events averaged 27 (range, 7-57) per EAC. We noted 126 homozygous deletions (HD) across the EAC panel (range, 0-11 in individual tumors). Frequent HDs within FHIT (17 of 23), WWOX (8 of 23), and DMD (6 of 23) suggest a role for common fragile sites or genomic instability in EAC etiology. HDs were also noted for known tumor suppressor genes (TSG), including CDKN2A, CDKN2B, SMAD4, and GALR1, and identified PDE4D and MGC48628 as potentially novel TSGs. All tumors showed LOH for most of chromosome 17p, suggesting that TSGs other than TP53 may be targeted. Frequent gains were noted around MYC (13 of 23), BCL9 (12 of 23), CTAGE1 (14 of 23), and ZNF217 (12 of 23). Thus, we have confirmed previous reports indicating frequent changes to FHIT, CDKN2A, TP53, and MYC in EAC and identified additional genes of interest. Meta-analysis of previous genome-wide EAC studies together with the data presented here highlighted consistent regions of gain on 8q, 18q, and 20q and multiple LOH regions on 4q, 5q, 17p, and 18q, suggesting that more than one gene may be targeted on each of these chromosome arms. The focal gains and deletions documented here are a step toward identifying the key genes involved in EAC development.


American Journal of Medical Genetics | 2008

Association study of candidate variants of COMT with neuroticism, anxiety and depression†

Naomi R. Wray; Michael R. James; Troy Dumenil; Herlina Y. Handoko; Penelope A. Lind; Grant W. Montgomery; Nicholas G. Martin

The Val158Met polymorphism of the gene encoding catechol‐O‐methyltransferase (COMT) is one of the most widely tested variants for association with psychiatric disorders, but replication has been inconsistent including both sex limitation and heterogeneity of the associated allele. In this study we investigate the association between three SNPs from COMT and anxiety and depression disorders and neuroticism all measured within the same study sample. Participants were selected as sibling pairs (or multiples) that were either concordant or discordant for extreme neuroticism scores from a total sample of 18,742 Australian twin individuals and their siblings. All participants completed the Composite International Diagnostic Interview (CIDI) from which diagnoses of DSM‐IV depression and anxiety disorders were determined. Of the participants, 674 had a diagnosis of anxiety and/or depression from 492 families. Study participants (n = 2,045 from 987 families) plus, where possible, their parents were genotyped for rs737865, rs4680 (Val158Met), and rs165599. Using family based tests we looked for association between these variants and neuroticism, depression, anxiety, panic disorder and agarophobia (PDAG) and obsessive compulsive disorder. We found no convincing evidence for association either in allelic or genotypic tests for the total sample or when the sample was stratified by sex. Haplotype T‐G‐G showed weak association (P = 0.042) with PDAG before correction for multiple testing; association between this haplotype and schizophrenia has been previously reported in an Australian sample.


PLOS ONE | 2007

SiDCoN: A Tool to Aid Scoring of DNA Copy Number Changes in SNP Chip Data

Derek J. Nancarrow; Herlina Y. Handoko; Mitchell S. Stark; David C. Whiteman; Nicholas K. Hayward

The recent application of genome-wide, single nucleotide polymorphism (SNP) microarrays to investigate DNA copy number aberrations in cancer has provided unparalleled sensitivity for identifying genomic changes. In some instances the complexity of these changes makes them difficult to interpret, particularly when tumour samples are contaminated with normal (stromal) tissue. Current automated scoring algorithms require considerable manual data checking and correction, especially when assessing uncultured tumour specimens. To address these limitations we have developed a visual tool to aid in the analysis of DNA copy number data. Simulated DNA Copy Number (SiDCoN) is a spreadsheet-based application designed to simulate the appearance of B-allele and logR plots for all known types of tumour DNA copy number changes, in the presence or absence of stromal contamination. The system allows the user to determine the level of stromal contamination, as well as specify up to 3 different DNA copy number aberrations for up to 5000 data points (representing individual SNPs). This allows users great flexibility to assess simple or complex DNA copy number combinations. We demonstrate how this utility can be used to estimate the level of stromal contamination within tumour samples and its application in deciphering the complex heterogeneous copy number changes we have observed in a series of tumours. We believe this tool will prove useful to others working in the area, both as a training tool, and to aid in the interpretation of complex copy number changes.


American Journal of Medical Genetics | 2003

Tumor necrosis factor haplotype analysis amongst schizophrenia probands from four distinct populations in the Asia-Pacific region

Herlina Y. Handoko; Derek J. Nancarrow; Nicholas K. Hayward; Jude U. Ohaeri; Henry S. Aghanwa; John J. McGrath; Douglas F. Levinson; Christopher Johns; Marilyn K. Walters; Deborah A. Nertney; Tirupati N. Srinivasan; Rangaswamy Thara; Bryan J. Mowry

A single nucleotide polymorphism (TNF−308A) within the promoter region of the gene encoding tumor necrosis factor (TNF), has been significantly associated with schizophrenia in a study of Italian patients and control subjects Boin et al. [2001: Mol Psychiatry 6:79–82]. We have applied case‐control analyses to examine TNF promoter haplotypes (containing TNF−308 and two additional promoter variants: TNF−376 and TNF−238) in four schizophrenia cohorts drawn from Australian, Indian Fijian, Indigenous Fijian, and Brahmin populations. In addition, we have applied the sibling transmission disequilibrium (STD) test to promoter haplotypes within 81 trios drawn from Australian Caucasian pedigrees with multiple schizophrenia cases, and 86 trios drawn from the Brahmin population of Tamil Nadu province in Southern India. Within each of these cohorts, we found no evidence of recombination between these tightly linked promoter variants, supporting previous studies which demonstrated that only a subset of the eight possible haplotypes exist. Of the four observed haplotypes, we and others have observed only one carries the TNF−308A variant allele. We report no significant differences in TNF promoter haplotype frequencies between the patient and control groups within each population, although the Indian Fijian cohort showed a trend towards reduced TNF−308A alleles amongst schizophrenia cases (P = 0.07). We found no evidence of bias in TNF promoter haplotype transmission to schizophrenia probands. Very similar results were obtained when only the TNF−308 polymorphism was considered. Taken together, these data provide no support for the involvement of TNF promoter variants TNF−308, TNF−376, and TNF−238 in schizophrenia susceptibility within four ethnically distinct cohorts.


Journal of Investigative Dermatology | 2013

UVB-Induced Melanocyte Proliferation in Neonatal Mice Driven by CCR2-Independent Recruitment of Ly6clowMHCIIhi Macrophages

Herlina Y. Handoko; Mathieu P. Rodero; Glen M. Boyle; Blake Ferguson; Christian R. Engwerda; Geoff R. Hill; H. Konrad Muller; Kiarash Khosrotehrani; Graeme J. Walker

Intermittent sunburns, particularly in childhood, are the strongest environmental risk factor for malignant melanoma (MM). In mice, a single neonatal UVR exposure induces MM, whereas chronic doses to adult mice do not. Neonatal UVR alters melanocyte migration dynamics by inducing their movement upward out of hair follicles into the epidermis. UVR is known to induce inflammation and recruitment of macrophages into the skin. In this study, we have used a liposomal clodronate strategy to deplete macrophages at the time of neonatal UVR, and have shown functionally that this reduces the melanocyte proliferative response. This effect was not reproduced by depletion of CD11c-expressing populations of dendritic cells. On the basis of epidermal expression array data at various time points after UVR, we selected mouse strains defective in various aspects of macrophage recruitment, activation, and effector functions, and measured their melanocyte UVR response. We identified Ly6c(low)MHCII(hi) macrophages as the major population promoting the melanocyte response across multiple strains. The activity of this subpopulation was CCR2 (C-C chemokine receptor type 2) independent and partly IL-17 dependent. By helping induce this effect, the infiltration of specific macrophage subpopulations after sunburn may be a factor in increasing the risk of subsequent neoplastic transformation of melanocytes.


Twin Research and Human Genetics | 2006

Association Study of the Dystrobrevin-Binding Gene With Schizophrenia in Australian and Indian Samples

Elizabeth G. Holliday; Herlina Y. Handoko; Michael R. James; John J. McGrath; Deborah A. Nertney; Sujit Tirupati; Rangaswamy Thara; Douglas F. Levinson; Nicholas K. Hayward; Bryan J. Mowry; Dale R. Nyholt

Numerous studies have reported association between variants in the dystrobrevin binding protein 1 (dysbindin) gene (DTNBP1) and schizophrenia. However, the pattern of results is complex and to date, no specific risk marker or haplotype has been consistently identified. The number of single nucleotide polymorphisms (SNPs) tested in these studies has ranged from 5 to 20. We attempted to replicate previous findings by testing 16 SNPs in samples of 41 Australian pedigrees, 194 Australian cases and 180 controls, and 197 Indian pedigrees. No globally significant evidence for association was observed in any sample, despite power calculations indicating sufficient power to replicate several previous findings. Possible explanations for our results include sample differences in background linkage disequilibrium and/or risk allele effect size, the presence of multiple risk alleles upon different haplotypes, or the presence of a single risk allele upon multiple haplotypes. Some previous associations may also represent false positives. Examination of Caucasian HapMap phase II genotype data spanning the DTNBP1 region indicates upwards of 40 SNPs are required to satisfactorily assess all nonredundant variation within DTNBP1 and its potential regulatory regions for association with schizophrenia. More comprehensive studies in multiple samples will be required to determine whether specific DTNBP1 variants function as risk factors for schizophrenia.


Psychiatric Genetics | 2008

Association study of candidate variants from brain-derived neurotrophic factor and dystrobrevin-binding protein 1 with neuroticism, anxiety, and depression.

Naomi R. Wray; Michael R. James; Herlina Y. Handoko; Troy Dumenil; Penelope A. Lind; Grant W. Montgomery; Nicholas G. Martin

Objectives Association of the valine/methionine variant at codon 66 (Val66Met) of brain derived neurotrophic factor (BDNF) has been reported inconsistently across a spectrum of psychiatric disorders. Haplotypes of six tagging single nucleotide polymorphisms (SNPs) of a 37-kb region of dystrobrevin-binding protein 1 (DTNBP1) were found to be associated with schizophrenia. These haplotypes have not been studied extensively for other psychiatric disorders but are plausible candidates for anxiety and depression disorders. Here, association between variants of BDNF and DTNBP1, and multiple anxiety and depression phenotypes is explored. Methods Study participants were selected as sibling pairs that were either concordant or discordant for extreme neuroticism scores from a total sample of 18 742 Australian twin individuals and their siblings. All participants completed detailed Composite International Diagnostic Interview from which diagnoses of Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV depression and anxiety disorders were determined. Six hundred and seventy-four participants had a diagnosis of anxiety and/or depression from 492 families. The BDNF Val66Met and six DTNBP1 (rs3213207, rs1011313, rs2619528, rs760761, rs1018381, rs2619538) SNPs were genotyped on samples from study participants (n=2045 from 987 families) and, where possible, their parents (n=787). Family-based association tests were conducted between the individual SNPs and the DTNBP1 six SNP haplotypes and anxiety, depression, and neuroticism. Results We found no convincing evidence for association between any of the variants studied and anxiety, depression, or neuroticism. Conclusion This study sample is relatively large but our results do not support an association between BDNF Val66Met and anxiety, depression, or neuroticisim. DTNBP1 haplotypes, which have been found to be risk factors for schizophrenia, are unlikely to be risk factors for anxiety and depression.


Oncogene | 2015

Melanoma susceptibility as a complex trait: genetic variation controls all stages of tumor progression

Blake Ferguson; Ramesh Ram; Herlina Y. Handoko; Pamela Mukhopadhyay; Hk Muller; H.P. Soyer; Grant Morahan; Gj Walker

Susceptibility to most common cancers is likely to involve interaction between multiple low risk genetic variants. Although there has been great progress in identifying such variants, their effect on phenotype and the mechanisms by which they contribute to disease remain largely unknown. We have developed a mouse melanoma model harboring two mutant oncogenes implicated in human melanoma, CDK4R24C and NRASQ61K. In these mice, tumors arise from benign precursor lesions that are a recognized strong risk factor for this neoplasm in humans. To define molecular events involved in the pathway to melanoma, we have for the first time applied the Collaborative Cross (CC) to cancer research. The CC is a powerful resource designed to expedite discovery of genes for complex traits. We characterized melanoma genesis in more than 50 CC strains and observed tremendous variation in all traits, including nevus and melanoma age of onset and multiplicity, anatomical site predilection, time for conversion of nevi to melanoma and metastases. Intriguingly, neonatal ultraviolet radiation exposure exacerbated nevus and melanoma formation in most, but not all CC strain backgrounds, suggesting that genetic variation within the CC will help explain individual sensitivity to sun exposure, the major environmental skin carcinogen. As genetic variation brings about dramatic phenotypic diversity in a single mouse model, melanoma-related endophenotype comparisons provide us with information about mechanisms of carcinogenesis, such as whether melanoma incidence is dependent upon the density of pre-existing nevus cells. Mouse models have been used to examine the functional role of gene mutations in tumorigenesis. This work represents their next phase of development to study how biological variation greatly influences lesion onset and aggressiveness even in the setting of known somatic driver mutations.

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Graeme J. Walker

QIMR Berghofer Medical Research Institute

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Blake Ferguson

QIMR Berghofer Medical Research Institute

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Nicholas K. Hayward

QIMR Berghofer Medical Research Institute

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Bryan J. Mowry

University of Queensland

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Pamela Mukhopadhyay

QIMR Berghofer Medical Research Institute

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Michael R. James

QIMR Berghofer Medical Research Institute

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Dale R. Nyholt

Queensland University of Technology

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