Statistical Methods And Algorithms For Analysis Of High-throughput Genetics And Genomics Platforms
Funder
National Health and Medical Research Council
Funding Amount
$1,557,500.00
Summary
Through rapid advances in high-throughput -omics technologies, the number of phenotypes and the number of genotypes in gene mapping studies are or will be orders of magnitudes larger than in previous studies. Current algorithms and analysis methods have not kept up with the speed of data collection, nor has the training of qualified researchers. We will develop quantitative trait loci (fine) mapping analysis methods and bioinformatics algorithms and train (post)graduates in these research areas.
Use Of Expression Profiling To Identify Genes Influencing Cardiovascular Risk In The Norfolk Island Population Isolate
Funder
National Health and Medical Research Council
Funding Amount
$697,409.00
Summary
This study will use a unique population isolate from Norfolk Island. We aim to identify genes that play a role in cardiovascular disease risk. Norfolk has a population of ~1200 permanent residents, most of whom are direct descendents of 18th century English Bounty mutineers and Polynesian women. We will undertake gene expression mapping to identify genomic loci that influence cardiovascular disease using samples from this population isolate.
High scorers on the personality trait neuroticism are at greatly increased risk of major depression and other neurotic disorders. Neuroticism is a personality trait that shows considerable stability over adulthood. It has a strong genetic basis and it seems that the same genes also determine risk of depression, anxiety and other neuroses. By selecting twins and sibs extremely discordant and concordant (EDAC) for neuroticism we can greatly reduce the cost and increase the power to find genes infl ....High scorers on the personality trait neuroticism are at greatly increased risk of major depression and other neurotic disorders. Neuroticism is a personality trait that shows considerable stability over adulthood. It has a strong genetic basis and it seems that the same genes also determine risk of depression, anxiety and other neuroses. By selecting twins and sibs extremely discordant and concordant (EDAC) for neuroticism we can greatly reduce the cost and increase the power to find genes influencing depression. Questionnaire responses and interviews from 15,027 Australian twins and 11,389 of their family members were reviewed to identify individuals with neuroticism scores in the top and bottom 10%. These individuals were invited to participate in a structured psychiatric interview by telephone, and to give a blood sample. Participation and DNA sampling rates were high and there was minimal evident participation bias. DNA was collected from 2,926 individuals from 884 families including 1,333 EDAC sibling pairs and over 795 parents. A preliminary genome scan on one third of this sample yields several linkage peaks suggesting genes of major effect that appear to replicate findings in similar studies conducted in Holland and England. Given these results it is highly desirable that we obtain a genome scan on the remainder of selected extreme sample. Another one third of this sample is currently being genotyped in America and here we request funds to genotype the remaining third. .If we are successful in identifying genes underlying neuroticism, we will also be able to analyse their contribution to depression and anxiety. This could lead to better drug treatments.Read moreRead less
Fine Mapping Of The ADH Region For Alcohol Metabolism, Use And Dependence
Funder
National Health and Medical Research Council
Funding Amount
$215,690.00
Summary
It is widely known that alcohol use and alcohol dependence can cause many social problems and morbidity. We know that social and and cultural factors can affect the possibility of becoming alcohol dependent. We also know that inheritance plays a major role in the risk of becoming dependent upon alcohol. Two inherited causes or genes have already been identified as causing some people to avoid alcohol and so have less chance of becoming dependent upon it. Clues as to why this happens come from wh ....It is widely known that alcohol use and alcohol dependence can cause many social problems and morbidity. We know that social and and cultural factors can affect the possibility of becoming alcohol dependent. We also know that inheritance plays a major role in the risk of becoming dependent upon alcohol. Two inherited causes or genes have already been identified as causing some people to avoid alcohol and so have less chance of becoming dependent upon it. Clues as to why this happens come from what happens to alcohol following a drink. The body detoxifies itself of alcohol in the liver. There it is converted to very highly toxic acetaldehyde and this is normally rapidly removed by a protein called aldehyde dehydrogenase. Some people do not have a normally functioning form of this protein and cannot remove the acetaldehyde from their bodies. They suffer unpleasant side effects such as nausea, facial flushing and sickness. Consequently they learn by experience to avoid alcohol use and are less likely to develop dependence. We now know that even people with a normally inherited form of aldehyde dehydrogenase can have a lowered risk of dependence. The rate at which our livers convert alcohol to actetaldehyde is also a key factor. Those who are inherently quick at this process again learn to avoid alcohol, others are more at risk. The hypothesis will be tested with a unique set of twins who have provided us with detailed information on how quickly they detoxify alcohol and of their drinking habits for over 20 years. Collectively they will enable us to determine if there is a major genetic influence on alcohol use and dependence that is caused by inter-individual differences in a gene for alcohol metabolism. The DNA of these twins will be used to locate mutations that we predict have a common effect upon our measures of alcohol detoxification, drinking habits and risk of alcoholism.Read moreRead less
Twin and family studies show schizophrenia has a genetic basis. Attempts to find and characterise the underlying genes have not been successful so far. A main reason for this is that insufficient attention has been paid to the complexity of the underlying genetic architecture of the disorder. The pathway from genes to symptoms of schizophrenia is likely to involve elementary processes at neuronal and neural circuitry levels that vary between individuals and this variation is reflected in a grade ....Twin and family studies show schizophrenia has a genetic basis. Attempts to find and characterise the underlying genes have not been successful so far. A main reason for this is that insufficient attention has been paid to the complexity of the underlying genetic architecture of the disorder. The pathway from genes to symptoms of schizophrenia is likely to involve elementary processes at neuronal and neural circuitry levels that vary between individuals and this variation is reflected in a graded susceptibility to schizophrenia. During the last three years we have recruited a large number of families with at least one family member diagnosed with schizophrenia. The proband and all participating first-degree relatives have been assessed with a neurocognitive test battery including measures of sustained attention, working memory, speed of information processing, auditory verbal learning and executive function. Analysis of the neurocognitive data on this sample produced strong evidence that several measures are altered in patients with schizophrenia and a proportion of their asymptomatic first-degree relatives compared to unrelated normal controls. In the study we will systematically search the human genome for DNA markers linked to these measures. This will set the stage for the systematic search and characterisation of the underlying genes. This will allow us to better understand the predisposition to develop schizophrenia. In the individual case it is likely that this vulnerability results from a high-risk combination of a number of relatively common alleles which contribute to basic neural processes.Read moreRead less
Estimation of non-additive genetic variance for complex traits using genome-wide single nucleotide polymorphyisms and sequence data. Finding genes for traits of importance in agriculture, ecology and human health depends on understanding the genetic basis of these traits. This project will investigate whether variation in traits in humans, cattle and wild sheep are influenced by gene-gene interactions.
The genetic architecture and evolution of quantitative traits. Most important traits are controlled by many genes and by the environment, however there is little knowledge of how many genes are involved in these complex traits and what their effects are. This project will describe the number of genes and their effects for complex traits in humans and livestock and explain how these genes evolve.
Rapid mapping of genes for complex traits. This project will develop a new resource that will allow rapid identification of genes controlling complex traits. This world-leading resource will improve knowledge of diseases like diabetes and neurological diseases.
Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of diff ....Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of difficult but important traits such as disease resistance, reduced green-house gas emissions and product quality. The same methods can be extended to improve genetic improvement in plants and better prediction of human disease risk. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101226
Funder
Australian Research Council
Funding Amount
$423,000.00
Summary
Testing Effects of Environmental Exposures on Subsequent Human Generations. This project aims to develop new statistical models to determine how environmental exposures in pregnancy, such as smoking, alcohol consumption and diet, can impact the first and second generations of children. The project will fill a void in unbiased tools to disentangle genetic and environmental components in the inheritance of complex traits, and will be the first to determine objectively if and how effects from envir ....Testing Effects of Environmental Exposures on Subsequent Human Generations. This project aims to develop new statistical models to determine how environmental exposures in pregnancy, such as smoking, alcohol consumption and diet, can impact the first and second generations of children. The project will fill a void in unbiased tools to disentangle genetic and environmental components in the inheritance of complex traits, and will be the first to determine objectively if and how effects from environmental exposures can be inherited. Through international collaborations and advanced interdisciplinary approaches, this project will generate new knowledge in the emerging field of multigenerational inheritance to drive the future design of interventions and influence positive behaviours during pregnancy.Read moreRead less