QTL Linkage Analysis For Complex Human Traits In Twin Families
Funder
National Health and Medical Research Council
Funding Amount
$1,000,000.00
Summary
This project will focus on finding genes for common human diseases. Now that the human genome has been sequenced, the race is on to find out what the estimated 38,000 human genes do and which ones are associated with which diseases. Scattered throughout the genome are small variations in DNA sequence, some of which increase the odds of disease while others are protective.
Statistical Analyses Of Whole Genome Genotype Data To Better Understand Psychiatric Disorders
Funder
National Health and Medical Research Council
Funding Amount
$543,755.00
Summary
Until now, determining an overlapping genetic aetiology between disorders, required large study cohorts of family records. Here we will use genome-wide genotypes available on independent case-control samples to estimate a shared genetic aetiology directly from the molecular data. In this way we will explore previously intractable questions, such as the relationship between rheumatoid arthritis in people with schizophrenia, a well-recognised epidemiological puzzle.
Investigating The Interplay Of Gene And Environment In Childhood And Adolescent Mental Health
Funder
National Health and Medical Research Council
Funding Amount
$386,298.00
Summary
Mental health and substance use disorders account for 60-70% of the overall disease burden among young Australians. This research aims to fully explore the gene-environment interplay in childhood and adolescent mental health. The potential outcomes of this research include: improved understanding of genetic and environmental architecture for single disorder, and the high comorbidity between disorders; guidance for personalised intervention based on one’s genetic background.
Using Genomics To Understand Psychiatric Disorders
Funder
National Health and Medical Research Council
Funding Amount
$772,490.00
Summary
The last five years have seen unprecedented discovery of DNA risk factors for psychiatric disorders. In my Fellowship I will combine analyses of genomic data with development of new statistical methodologies to contribute to my vision that application of genomics methods in psychiatry will continue to catalyze more discoveries of the causes of these complex genetic disorders.
Multivariate Whole Genome Estimation And Prediction Analysis Of Genomics Data Applied To Psychiatric Disorders
Funder
National Health and Medical Research Council
Funding Amount
$639,582.00
Summary
We have made major contributions to the development of statistical methods applied to data from the international Psychiatric Genomics Consortium. Major new data sets will soon become available, with immense sample sizes (100,000s) and more extensive clinical and environmental data. We will develop and apply novel statistical analyses of these data, to answer fundamental questions about the genetic basis of psychiatric disorders and the interplay of genetic and environmental risk factors.
Molecular And Cellular Characterisation Of Schizophrenia Associated Dysfunction In MicroRNA Biogenesis
Funder
National Health and Medical Research Council
Funding Amount
$496,205.00
Summary
We have identified substantial changes in the biogenesis of microRNA in schizophrenia. These small non-coding molecules derived from junk DNA, play a significant role in genetic regulation, with each one capable of silencing hundreds of target genes. This has major implications for schizophrenia, which is known to involve substantial changes in gene activity. The project will identify the molecular basis of this alteration in gene silencing, and its biological implications for schizophrenia.
Novel Epidemiological Methods To Infer The Causal Effects Of Risk Factors On Neuropsychiatric And Cardiovascular Disorders
Funder
National Health and Medical Research Council
Funding Amount
$182,003.00
Summary
Epidemiological studies, which associate risk factors and disease, are central in informing public health policy. Because causality is difficult to ascertain from these associations, public health interventions based on these findings are at some risk of failure. We propose to develop, extend and apply an innovative epidemiological approach, Mendelian randomization (MR) to resolve the causal relationship between risk factors and neuropsychiatric and cardiovascular disorders.
A Genetic Study Of Schizophrenia In The Brahmin Of Tamil Nadu
Funder
National Health and Medical Research Council
Funding Amount
$267,226.00
Summary
The cause of schizophrenia is unknown, but there is good evidence that genes play a role. Geneticists do not fully understand how it is inherited, but it is very complex, and several interacting genes as well as environmental factors are probably involved. Societies such as Australia are genetically diverse because people from many different ethnic groups have intermarried. To detect susceptibility genes in this type of population, we must study very large patient samples. Alternatively, we can ....The cause of schizophrenia is unknown, but there is good evidence that genes play a role. Geneticists do not fully understand how it is inherited, but it is very complex, and several interacting genes as well as environmental factors are probably involved. Societies such as Australia are genetically diverse because people from many different ethnic groups have intermarried. To detect susceptibility genes in this type of population, we must study very large patient samples. Alternatively, we can study genetically homogenous patient samples, found in isolated gene-pool populations. One such population is the Brahmin people in Tamil Nadu, a south-eastern state of India. The Brahmin are descended from the Aryan peoples who migrated into southern India 2000 years ago. In the Hindu caste system, Brahmin are the highly educated priest class, and enjoy a privileged position in society. Traditionally, marriages among the Brahmin of Tamil Nadu have been prearranged, with a preference for first-cousin marriages. As well as this cultural and historical evidence, genetic marker studies confirm that this population is a suitable genetic isolate. In this project, genetic material (DNA) will be collected from Brahmin schizophrenic patients and their families. Diagnostic data, detailed family data, and blood samples will be gathered from 90-100 extended families, each containing two or more ill individuals. Analysis of their genetic code will enable a search for possible schizophrenia susceptibility genes and a systematic search for a mutation. If found, this will greatly improve our understanding of schizophrenia, and stimulate the search for similar genes in other samples world-wide, including Australia where schizophrenia costs $3 billion annually in terms of treatment and lost jobs. If schizophrenia genes can be found, it may be possible to find better treatments that correct the basic causes of the illness and identify factors that protect against the illness.Read moreRead less