Older Australian Twins Study (OATS)
The Older Australian Twins Study is a longitudinal study investigating healthy brain ageing in older twins (65+ years), aiming to find out what influences memory and thinking as we age.
The Older Australian Twins Study is a longitudinal study investigating healthy brain ageing in older twins (65+ years), aiming to find out what influences memory and thinking as we age.
The Older Australian Twins Study is a longitudinal study investigating healthy brain ageing in older twins (65+ years). Healthy ageing is characterised by low levels of disability, high cognitive and functional capacity, and an active engagement in life. The most important ingredient of healthy ageing is arguably a healthy brain, bereft of age-related diseases and dysfunction. Brain ageing and brain diseases are determined by multiple genetic factors that interact with environmental influences. Since identical twins share 100% of their genetic code, whereas non-identical twins share half their genetic information, detailed comparisons of these two groups have the potential to discover new genes involved in cognitive decline or resilience.
OATS commenced in New South Wales in January 2007, in Queensland in December 2007, and in Victoria in February 2008. Since the OATS study started we have followed up with our twin volunteers on up to 6 occasions to check on their psychological and physical health. Participants undergo rigorous medical and cognitive function tests, with many participants also providing bloods samples and having a magnetic resonance imaging (MRI) scan of their brain. OATS assessed 623 participants at baseline, 450 had a 2nd follow-up between 2009-2013, and 392 had a third follow-up between 2012 and 2016.
Longitudinal Studies
Older Australian Twins Study
Current
Between 2012 and 2017, as part of an OATS imaging sub-study, many participants were invited to undergo positron emission tomography (PET) scans, measuring accumulation of amyloid plaques in the brain, a hallmark feature of Alzheimer’s disease (AD). Amyloid plaques are thought to predict memory decline with age. Performing these scans in twins has helped us determine the genetic component of amyloid plaque deposition, demonstrating this is moderately heritable. Conversely, the data also suggest there is a substantial environmental contribution to the development of the plaques, which indicates there are potentially modifiable environmental factors that can be targeted with prevention strategies. The data from the PET scans will also help us to establish how these amyloid plaques relate to performance in memory and thinking ability. For this sub-study, 207 participants in New South Wales and Victoria were assessed and scanned; 39 of these in their 4th follow up between 2015 and 2017.
In 2017, the OATS study site in Queensland was closed, followed by the study site in Melbourne closing in 2018. OATS then moved our study assessments to an online platform before we commenced follow-up of our existing participants and invited new participants into the study. By doing the assessments online, we were able to invite the 1/3 of Australian twins living outside major cities to participate. The online assessment includes answering questions about participants’ health, lifestyle, memory and thinking and a neuropsychological assessment. Engaging with participants in rural settings aimed to enable investigation of a broader variety of environmental influences on healthy ageing, including different health seeking behaviour, potentially associated with variation in ready access to health care services.
The OATS Study has collected a unique data set from which we can examine genetic and environmental influences on a range of ageing-related issues. In particular we are investigating links between cognitive function and brain chemistry over time which has not been looked at previously. The diversity and depth of our work has also allowed us to form collaborative partnerships with other twin studies around the world, including the IGEMS. These collaborations are important as we have the opportunity to further enlarge our sample size and thereby better address genetic questions, which require large samples. While OATS ceased participant assessment in 2021 due to a lack of grant funding for this study, analysis of data is ongoing.
The OATS aims to find out what influences memory and thinking as we age. It investigates environmental influences such as lifetime physical and mental activity, socioeconomic environment, and nutrition. It also investigates how biological factors such as hypertension and antioxidant levels interact with genes to influence brain ageing. Over time, the expression of genes varies depending on different influences in the environment, and by studying twins, OATS aims to determine which influences on the ageing process are genetic, which are environmental, and how the two interact.
OATS shares data and biological samples provided by our participants with other research groups, both at other universities, research institutes and commercial companies. Data sharing occurs via application to the CHeBA Research Bank and involves a review for scientific rigour by the OATS Governance Committee. Sharing enhances the possibility of science and/or medical breakthroughs and increases the chance that preventative and interventional therapies will be applied broadly in the wider community.
If you are/were an OATS participant and this data sharing arrangement raises any concerns for you, you can contact our team by emailingÌýCHeBAData@unsw.edu.auÌýor by phoning 02 9385 7357.
The Older Twin Study (OATS) design is considered the best method to determine the relative contributions of genetics and the environment for the cause of a disease from an observational study.
| Authors | Title | Journal |
|---|---|---|
| Sachdev PS, Lammel A, Trollor JN, Lee T, Wright MJ, Ames D, et al. | A comprehensive neuropsychiatric study of elderly twins: the Older Australian Twins Study. | Twin Res Hum Genet., 2009;12(6):573-582.Ìý |
| Sachdev PS, Lee T, Wen W, Ames D, Batouli AH, Bowden J, et al. | The contribution of twins to the study of cognitive ageing and dementia: the Older Australian Twins Study. | Int Rev Psychiatry, 2013;25(6):738-747.Ìý |
| Authors | Title | Journal |
|---|---|---|
| Rebecca Koncz, Anbupalam Thalamuthu, Wei Wen, Vibeke S. Catts, Vicent Dore, Teresa Lee, Karem A. Mather, Melissa J. Slavin, Eva A. Wegner, Jiyang Jiang, Julian N. Trollor, David Ames, Victor L. Villemagne, Christopher C. Rowe, Perminder S. Sachdev | The heritability of amyloid burden in older adults: the Older Australian Twins Study | Journal: Journal of Neurology, Neurosurgery, and Psychiatry 2022:93(3)303-308. doi: 10.1136/jnnp-2021-326677 |
| Matthew WK Wong, Anbupalam Thalamuthu, ÌýNady Braidy, ÌýKaren A Mather, Yue Liu, Liliana Ciobanu, Bernhardt T Baune, Nicola J Armstrong, John Kwok, Peter Schofield, Margaret J Wright, David Ames, Russell Pickford, Teresa Lee, Anne Poljak, Perminder S Sachdev | Genetic and environmental determinants of variation in the plasma lipidome of older Australian twins | ´³´Ç³Ü°ù²Ô²¹±ô:Ìý |
| Siddharth Raj, Anbupalam Thalamuthu, Nicola J Armstrong, Margaret J Wright, John B Kwok, Julian N Trollor, David Ames, Peter R Schofield, Henry Brodaty, Perminder S Sachdev, Karen A Mather | Investigating Olfactory Gene Variation and Odour Identification in Older Adults | Journal: Genes (Basel), 2021;12(5):669. Ìýdoi: |
Professor David Ames
Professor Bernhard Baune
Professor Henry Brodaty
Dr John Crawford
Dr Teresa Lee
Professor Nick Martin
Dr Karen Mather
Professor Christopher Rowe
Professor Perminder Sachdev
Professor Katherine Samaras
Professor Peter Schofield
Professor Julian Trollor
Associate Professor Wei Wen
Associate Professor Margie Wright
Professor Lesley Campbell
Dr Vibeke Catts
Dr Michelle Lupton
Dr Julia Muenchhoff
Dr Anne Poljak
Dr Anbupalam Thalamuthu
| Course type | Student | Supervisor(s) | University |
|---|---|---|---|
| PhD | Arnav Bhattacharya | Karen Mather, Claire Shepherd, Fatima El-Assaad | ºÚÁÏÍø´óÊÂ¼Ç |
| PhD | Abdusalam Toyin Ademola | Perminder Sachdev, Anbu Thalamuthu, Karen Mather | ºÚÁÏÍø´óÊÂ¼Ç |
| Title | Student | Supervisor(s) | University degree | Year |
|---|---|---|---|---|
Genetic & epigenetic modulation of human lifespan: examining candidate longevity loci associated with the brain |
Jessica Lazarus | Karen Mather | PhD | 2024 |
Examining the relationship between diet, depression and nutrigenomics |
Annabel Matison | Karen Mather, Anbu Thalamuthu | PhD | 2024 |
Genetic and environmental influences on human brain changes in ageing |
Chao Dong | Wei Wen | PhD | 2024 |
Association between genetic risk scores for dementia and neuroimaging & cognition phenotypes in older adults |
Arjun Appavoo | Karen Mather | ILP | 2023 |
| The Genetic and Epigenetic Factors of Exceptional Longevity | Mary Revelas | Karen Mather, Anbu Thalamuthu, Perminder Sachdev | PhD | 2023 |
The relationship of antihypertensive medication use with Alzheimer’s and cerebrovascular disease brain pathology |
Andrew Affleck | Perminder Sachdev, Glenda Halliday | PhD | 2023 |
Sex differences in white matter hyperintensities in the ageing brain |
Abdullah Alqarni | Wei Wen and Perminder | PhD | 2023 |
Machine learning techniques for identifying individuals at risk of developing AD |
Annette Spooner | Perminder Sachdev, Arcot Sowmya | PhD | 2023 |
Examining the relationship between fruits and vegetables intake and DNA methylation in older Australians |
Kathleen Irena | Karen Mather | Masters | 2023 |
Vascular burden on ageing brain using Diffusion- weighted imaging (DWI) techniques |
Jing Du | Wei Wen, Jiyang Jiang | PhD | 2023 |
The relative genetic and environmentalÌýcontributions to amyloid deposition in the brains of older adults: amyloid imaging using the twin design |
Rebecca Koncz | Perminder Sachdev | PhD | 2023 |
Predicting the influence of gene expression over metabolic syndrome using machine learning approaches |
Nannie Garisha R | Anbu Thalamuthu | Masters | 2022 |
Association between DNA methylation and metabolic syndrome |
Nandhini P | Anbu Thalamuthu | Masters | 2022 |
The brain MRI measurements and metabolic syndrome |
Micklin Steffy L | Anbu Thalamuthu | Masters | 2022 |
The genetics and epigenetics of neuroticism in older adults |
Anthony Liao | Karen Mather, Anbu Thalamuthu | Honours | 2022 |
Explore human brain measures computed from longitudinal and cross-sectional pipelines of FreeSurfer |
Shizuka Hayashi | Wei Wen | Honours | 2021 |
| How does mood affect global cognitive performance? | Christabella Surono | Dr Vibeke Catts, Dr Teresa Lee | ILP | 2021 |
| Using Machine Learning to Predict the Onset of Alzheimer’s Disease | Ewan Barnett | Annette Spooner, Professor Arcot Sowmya | Honours | 2021 |
| Examining the heritability of the spatial distribution of brain white matter fibre tracts using diffusion tensor imaging scans of OATS by employing Data Curves’ Depths | Andy Yu | Associate Professor Wei Wen | Honours | 2021 |
| OATS scans to investigate vascular cognitive impairment prediction model by plasma lipidomics | Chao Dong | Dr Braidy Nady; Professor Perminder Sachdev; Dr Anne Poljak; Associate Professor Wei Wen | PhD | 2021 |
| Association of nutrition and cognitive health among older adults | Xi Chen | Professor Henry Brodaty; Professor Perminder Sachdev; Dr Liu Zhixin; Associate Professor Fiona O’LearyÌý | PhD | 2021 |
| Heritability of Excessive Daytime Sleepiness and Associated Inflammation in Older Australian Twins | Tanya Duckworth | Professor Julian Troller, Professor Greg Roach | CQU, Honours | 2012 |
| Genetic and Environmental Influences on Neuropsychological Functioning in Later Life: The Older Australian Twins Study | Teresa Lee | Professor Perminder Sachdev | ºÚÁÏÍø´óʼÇ, PhD | 2013 |
| Genetic and Environmental Influences on Brain Structure and Biochemistry in the Elderly: Data from the Older Australian Twins Study | S.A.H.Batouli | Professor Perminder Sachdev, Professor Julian Trollor, Associate Professor Wei Wen | ºÚÁÏÍø´óʼÇ, PhD | 2013 |
| Examination of DNA Methylation in theÌýAPOA1ÌýGene | Jessica Lazarus | Dr Karen Mather, Associate Professor John Kwok (NeuRA) | ºÚÁÏÍø´óʼÇ, Honours | 2013 |
| Genetics of the White Matter Integrity in the Ageing Brain | Sri Chandana Kanchibhotla | Dr Karen Mather | ºÚÁÏÍø´óʼÇ, Masters | 2015 |
| The Relationships of Inflammation with Brain Structures in Older Individuals as Revealed by Multimodal Magnetic Resonance Imaging Techniques | Jiyang Jiang | Associate Professor Wei Wen, Professor Julian Trollor, Professor Perminder Sachdev | ºÚÁÏÍø´óʼÇ, PhD | 2016 |
| Homocysteine Levels & May Be Depression, Dementia, Cognitive Performance, Neuroimaging | Ng Wan Qi (Sandra) | Dr Karen Mather | ºÚÁÏÍø´óʼÇ, ILP | 2016 |
| Brain Networks in Healthy Ageing and Psychiatric Conditions | Alistair Perry | Associate Professor Wei Wen, Professor Perminder Sachdev, Professor Michael Breakspear | ºÚÁÏÍø´óʼÇ, PhD | 2017 |
| Glucose and Brain Health: Lessons from the Older Australian Twins Study | Emily Hartman | Professor Katherine Samaras | University of Notre Dame, Honours | 2018 |
| Investigating the Use of Genetic Risk Scores for Hippocampal Volumes in Older Adults | Wey-Lynn Liew | Dr Karen Mather | ºÚÁÏÍø´óʼÇ, ILP | 2018 |
| Nature and Nurture: Insights From Genetic, Environmental and Epigenomic Studies of Late-Life Depression | Ruby Tsang | Dr Karen Mather | ºÚÁÏÍø´óʼÇ, PhD | 2018 |
| Longitudinal Changes in Episodic Memory Performance and Brain Volumes, and their Association, in Older Australian Twins | Dansen Ken-Gin Cho | Dr Vibeke Catts, Dr Teresa Lee | ºÚÁÏÍø´óʼÇ, ILP | 2019 |
| Investigating the Relationship Between Diet, Lipids and DNA Methylation in Older Adults | Jun woo Park | Dr Karen Mather | ºÚÁÏÍø´óʼÇ, ILP | 2019 |
| Investigating the Genetics of Olfaction in Older Adults | Siddharth Raj | Dr Karen Mather | ºÚÁÏÍø´óʼÇ, ILP | 2019 |
| Investigating the Transcriptome Signature of Depression: Employing Co-expression Network, Candidate Pathways and Machine Learning Approaches | Liliana Ciobanu | Professor Berhard Baune, Dr Catherine Toben | Uni Adelaide, PhD | 2019 |
| The Role of Peripheral Blood MicroRNA as a Biomarker of Alzheimer’s Disease | Helen Wu | Dr Karen Mather, Professor Perminder Sachdev, Professor Henry BrodatyÌýÌý | ºÚÁÏÍø´óʼÇ, PhD | 2019 |
| Comprehensive Identification of Natural Variation in the Human Plasma Lipidome Signature using Mass Spectrometry: Relevance to Promoting Healthy Ageing Ìý |
Matthew Wong | Dr Anne Poljak | ºÚÁÏÍø´óʼÇ, PhD | 2019 |
| The relationship between dietary patterns and neurocognitive health among older adults | Yue Liu | Associate Professor Wei Wen, Professor Perminder Sachdev, Dr Nady Braidy | ºÚÁÏÍø´óʼÇ, PhD | 2020 |
If you are/were an OATS participant and this data sharing arrangement raises any concerns for you, you can contact our team by emailingÌýCHeBAData@unsw.edu.auÌýor by phoning 02 9385 7357.
Researchers wishing to apply for OATS data are directed to the . Please note application fees apply.