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Associate Professor Sonia Shah
Associate Professor

Sonia Shah

Email: 

Overview

Background

My group's research uses large-scale genomic data to address knowledge gaps in disease, with a particular focus on cardiovascular disease.

Research programme

1. Cardiovascular disease research using big-data and genomics: with the goal of improving prevention and treatment of cardiovascular disease. By focusing on underrepresented groups, including women, my research aims to also address inequity in cardiovascular outcomes. I am the lead of the South Asian Genes and Health in Australia (SAGHA) study, which aims to increase representation of Australian South Asians in cardiovascular and genomics research. See saghaus.org for further details.

2. Drug genomics: I'm interested in using genomic approaches to predict drug effects, including identification of drug repurposing opportunities as well as identifying unknown adverse effects of medication.

3. Liver transplant research: In this collaboration with the QLD Liver Transplant Unit, we are using genomics to understand the effect of normo-thermic perfusion (a new organ storage method) on liver function, with the long-term goal of improving our ability to predict transplant outcomes.

Career summary: I was awarded my PhD from University College London (UK) in cardiovascular genetics. I began my post-doctoral fellowship under the mentorship of Prof Peter Visscher at the Queensland Brain Institute in 2013. Between 2016-2018, I was the lead analyst for the International Heart Failure Genetics Consortium (HERMES). In 2018, I was awarded an NHMRC Early Career Researcher Fellowship to investigate the relationship between cardiovascular and brain-related disorders using large-scale genetic and genomic data, under the mentorship of Prof Naomi Wray. I currently hold a National Heart Foundation Future Leader Fellowship.

Recognition:

2024 Australian Academy of Science Ruth Stephens Gani Medal for outstanding contribution to genetics research

2023 1 of 5 global finalists for the Nature Inspiring Women in Science (Scientific Achievement Award)

2023 Lifesciences QLD Rose-Anne Kelso Award

2023: Named in Australia's Top 25 Women in Science by Newscorp

2022 Queensland Young Tall Poppy Award

2022 UQ Foundation Research Excellence Award

2021/2022 Australian Superstar of STEM,

2020 Genetic Society of Australasia Early Career Award

2020 Women in Technology Rising Star Science Award

Availability

Associate Professor Sonia Shah is:
Available for supervision
Media expert

Qualifications

  • Masters (Coursework) of Science, The University of Manchester
  • Doctor of Philosophy, University College London

Research impacts

Advancing knowledge in cardiovascular disease

Familial Hypercholesterolemia (FH) is a preventable cause of premature disease and death and is relatively common in the general population (~ 1 in 250). FH is considered a monogenic disease, though a monogenic mutation is only identified in ~30% of FH patients. This paradigm-shifting research on FH demonstrated a polygenic contribution to FH (Talmud P et al Lancet 2013;381:1293-301; FWCI 34.8), as a result of which the UK NICE guidelines on FH management were updated, and several UK Diagnostic Laboratories have implemented an additional polygenic test in FH patients, with reports of positive psychosocial impact on patients (Futema et al 2021, Journal of Lipid Research 62:100139). This research is cited in a patent (WO2014181107A1 - Genetic Method of Aiding The Diagnosis and Treatment of Familial Hypercholesterolemia). It has been used to develop a new disease category, termed ‘Polygenic Hypercholesterolemia’, https://www.heartuk.org.uk/genetic-conditions/polygenic-hypercholesterolaemia), cited in the NHS Chief Medical Officer 2016 annual report focused on how genomics can improve health.

I was part of the executive committee for the largest international heart failure consortium (HERMES https://www.hermesconsortium.org/) and co-led the largest (published) genome-wide association study on heart failure (Shah S et al Nat Commun 2020;11:296; FWCI 15.3) at the time, identifying novel disease biology. Our heart failure study has been cited >280 times in 3 years since publication, and has led to new avenues for drug development (e.g. Schmidt AF et al Nat Commun 2020:11:3255).

Demonstrating potential clinical application of genomic data

We demonstrated for the first time that genome-wide DNA methylation data may be useful for predicting human phenotypes over and above genetic data (Shah S et al Am J Hum Genet 2015;97:1; FWCI 2.8), as well as future health outcomes including mortality and (Marioni R et al Genome Biology 2015;16:25; FWCI 27.4). This research has been cited in 3 patents (e.g. WO-2018150042- A1 - DNA methylation signatures for determining a survival probability, which is using the findings to develop tests for clinical use), in two books (Handbook of Epigenetics (3rd Edition) and Aging: From Fundamental Biology to Societal Impact), highlighted in the online media site “The Conversation” and cited in the Wikipedia page on ‘Epigenetic Clock’.

Works

Search Professor Sonia Shah’s works on UQ eSpace

94 works between 2006 and 2025

61 - 80 of 94 works

2013

Journal Article

Use of low-density lipoprotein cholesterol gene score to distinguish patients with polygenic and monogenic familial hypercholesterolaemia: a case-control study

Talmud, Philippa J., Shah, Sonia, Whittall, Ros, Futema, Marta, Howard, Philip, Cooper, Jackie A., Harrison, Seamus C., Li, KaWah, Drenos, Fotios, Karpe, Frederik, Neil, H. Andrew W., Descamps, Olivier S., Langenberg, Claudia, Lench, Nicholas, Kivimaki, Mika, Whittaker, John, Hingorani, Aroon D., Kumari, Meena and Humphries, Steve E. (2013). Use of low-density lipoprotein cholesterol gene score to distinguish patients with polygenic and monogenic familial hypercholesterolaemia: a case-control study. Lancet, 381 (9874), 1293-1301. doi: 10.1016/S0140-6736(12)62127-8

Use of low-density lipoprotein cholesterol gene score to distinguish patients with polygenic and monogenic familial hypercholesterolaemia: a case-control study

2013

Journal Article

Loci influencing blood pressure identified using a cardiovascular gene-centric array

Ganesh, S.K., Tragante, V., Guo, W., Guo, Y., Lanktree, M.B., Smith, E.N., Johnson, T., Castillo, B.A., Barnard, J., Baumert, J., Chang, Y.-P.C., Elbers, C.C., Farrall, M., Fischer, M.E., Franceschini, N., Gaunt, T.R., Gho, J.M.I.H., Gieger, C., Gong, Y., Isaacs, A., Kleber, M.E., Leach, I.M., McDonough, C.W., Meijs, M.F., Mellander, O., Molony, C.M., Nolte, I.M., Padmanabhan, S., Price, T.S. ... Asselbergs, F.W. (2013). Loci influencing blood pressure identified using a cardiovascular gene-centric array. Human Molecular Genetics, 22 (8), 1663-1678. doi: 10.1093/hmg/dds555

Loci influencing blood pressure identified using a cardiovascular gene-centric array

2013

Journal Article

Causal relevance of blood lipid fractions in the development of carotid atherosclerosis mendelian randomization analysis

Shah S., Casas J.-P., Drenos F., Whittaker J., Deanfield J., Swerdlow D.I., Holmes M.V., Kivimaki M., Langenberg C., Wareham N., Gertow K., Sennblad B., Strawbridge R.J., Baldassarre D., Veglia F., Tremoli E., Gigante B., De Faire U., Kumari M., Talmud P.J., Hamsten A., Humphries S.E. and Hingorani A.D. (2013). Causal relevance of blood lipid fractions in the development of carotid atherosclerosis mendelian randomization analysis. Circulation: Cardiovascular Genetics, 6 (1), 63-72. doi: 10.1161/CIRCGENETICS.112.963140

Causal relevance of blood lipid fractions in the development of carotid atherosclerosis mendelian randomization analysis

2013

Journal Article

A gene-centric study of common carotid artery remodelling

Harrison S.C., Zabaneh D., Asselbergs F.W., Drenos F., Jones G.T., Shah S., Gertow K., Sennblad B., Strawbridge R.J., Gigante B., Holewijn S., De Graaf J., Vermeulen S., Folkersen L., van Rij A.M., Baldassarre D., Veglia F., Talmud P.J., Deanfield J.E., Agu O., Kivimaki M., Kumari M., Bown M.J., Nyyssonen K., Rauramaa R., Smit A.J., Franco-Cereceda A., Giral P., Mannarino E. ... Humphries S.E. (2013). A gene-centric study of common carotid artery remodelling. Atherosclerosis, 226 (2), 440-446. doi: 10.1016/j.atherosclerosis.2012.11.002

A gene-centric study of common carotid artery remodelling

2012

Journal Article

Integration of genetics into a systems model of electrocardiographic traits using humancvd beadchip

Gaunt, Tom R, Shah, Sonia, Nelson, Christopher P, Drenos, Fotios, Braund, Peter S., Adeniran, Ismail, Folkersen, Lasse, Lawlor, Debbie A., Casas, Juan-Pablo, Amuzu, Antoinette, Kivimaki, Mika, Whittaker, John, Eriksson, Per, Zhang, Henggui, Hancox, Jules C., Tomaszewski, Maciej, Burton, Paul R., Tobin, Martin D., Humphries, Steve E., Talmud, Philippa J., Macfarlane, Peter W., Hingorani, Aroon D., Samani, Nilesh J., Kumari, Meena and Day, Ian N.M. (2012). Integration of genetics into a systems model of electrocardiographic traits using humancvd beadchip. Circulation: Cardiovascular Genetics, 5 (6), 630-638. doi: 10.1161/CIRCGENETICS.112.962852

Integration of genetics into a systems model of electrocardiographic traits using humancvd beadchip

2012

Journal Article

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

Morris, Andrew P., Voight, Benjamin F., Teslovich, Tanya M., Ferreira, Teresa, Segre, Ayellet V., Steinthorsdottir, Valgerdur, Strawbridge, Rona J., Khan, Hassan, Grallert, Harald, Mahajan, Anubha, Prokopenko, Inga, Kang, Hyun Min, Dina, Christian, Esko, Tonu, Fraser, Ross M., Kanoni, Stavroula, Kumar, Ashish, Lagou, Vasiliki, Langenberg, Claudia, Luan, Jian'an, Lindgren, Cecilia M., Mueller-Nurasyid, Martina, Pechlivanis, Sonali, Rayner, N. William, Scott, Laura J., Wiltshire, Steven, Yengo, Loic, Kinnunen, Leena, Rossin, Elizabeth J. ... Shah, Sonia (2012). Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nature Genetics, 44 (9), 981-990. doi: 10.1038/ng.2383

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

2012

Journal Article

Erratum: Meta-analysis of dense genecentric association studies reveals common and uncommon variants associated with height ((The American Journal of Human Genetics (2010) 88 (6-18))

Lanktree, Matthew B., Guo, Yiran, Murtaza, Muhammed, Glessner, Joseph T., Bailey, Swneke D., Onland-Moret, N. Charlotte, Lettre, Guillaume, Ongen, Halit, Rajagopalan, Ramakrishnan, Johnson, Toby, Shen, Haiqing, Nelson, Christopher P., Klopp, Norman, Baumert, Jens, Padmanabhan, Sandosh, Pankratz, Nathan, Pankow, James S., Shah, Sonia, Taylor, Kira, Barnard, John, Peters, Bas J., Maloney, Cliona M., Lobmeyer, Maximilian T., Stanton, Alice, Zafarmand, M. Hadi, Romaine, Simon P.R., Mehta, Amar, Van Iperen, Erik P.A., Gong, Yan ... Keating, Brendan J. (2012). Erratum: Meta-analysis of dense genecentric association studies reveals common and uncommon variants associated with height ((The American Journal of Human Genetics (2010) 88 (6-18)). American Journal of Human Genetics, 90 (6), 1116-1117. doi: 10.1016/j.ajhg.2012.05.017

Erratum: Meta-analysis of dense genecentric association studies reveals common and uncommon variants associated with height ((The American Journal of Human Genetics (2010) 88 (6-18))

2012

Journal Article

Erratum: Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci (American Journal of Human Genetics (2012) 90 (410-425))

Saxena, Richa, Elbers, Clara C., Guo, Yiran, Peter, Inga, Gaunt, Tom R., Mega, Jessica L., Lanktree, Matthew B., Tare, Archana, Castillo, Berta Almoguera, Li, Yun R., Johnson, Toby, Bruinenberg, Marcel, Gilbert-Diamond, Diane, Rajagopalan, Ramakrishnan, Voight, Benjamin F., Balasubramanyam, Ashok, Barnard, John, Bauer, Florianne, Baumert, Jens, Bhangale, Tushar, Boehm, Bernhard O., Braund, Peter S., Burton, Paul R., Chandrupatla, Hareesh R., Clarke, Robert, Cooper-DeHoff, Rhonda M., Crook, Errol D., Davey-Smith, George, Day, Ian N. ... Keating, Brendan J. (2012). Erratum: Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci (American Journal of Human Genetics (2012) 90 (410-425)). American Journal of Human Genetics, 90 (4), 753-753. doi: 10.1016/j.ajhg.2012.03.001

Erratum: Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci (American Journal of Human Genetics (2012) 90 (410-425))

2012

Journal Article

Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci

Saxena, Richa, Elbers, Clara C., Guo, Yiran, Peter, Inga, Gaunt, Tom R., Mega, Jessica L., Lanktree, Matthew B., Tare, Archana, Castillo, Berta A., Li, Yun R., Johnson, Toby, Bruinenberg, Marcel, Gilbert-Diamond, Diane, Rajagopalan, Ramakrishnan, Voight, Benjamin F., Balasubramanyam, Ashok, Barnard, John, Bauer, Florianne, Baumert, Jens, Bhangale, Tushar, Bohm, Bernhard O., Braund, Peter S., Burton, Paul R., Chandrupatla, Hareesh R., Clarke, Robert, Cooper-Dehoff, Rhonda M., Crook, Errol D., Davey-Smith, George, Day, Ian N. ... Keating, Brendan J. (2012). Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci. American Journal of Human Genetics, 90 (3), 410-425. doi: 10.1016/j.ajhg.2011.12.022

Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci

2012

Journal Article

Cholesteryl ester transfer protein (CETP) polymorphisms affect mRNA splicing, HDL levels, and sex-dependent cardiovascular risk

Papp, Audrey C., Pinsonneault, Julia K., Wang, Danxin, Newman, Leslie C., Gong, Yan, Johnson, Julie A., Pepine, Carl J., Kumari, Meena, Hingorani, Aroon D., Talmud, Philippa J., Shah, Sonia, Humphries, Steve E. and Sadee, Wolfgang (2012). Cholesteryl ester transfer protein (CETP) polymorphisms affect mRNA splicing, HDL levels, and sex-dependent cardiovascular risk. PLoS ONE, 7 (3) e31930, e31930.1-e31930.9. doi: 10.1371/journal.pone.0031930

Cholesteryl ester transfer protein (CETP) polymorphisms affect mRNA splicing, HDL levels, and sex-dependent cardiovascular risk

2012

Journal Article

Identification of the BCAR1-CFDP1-TMEM170A locus as a determinant of carotid intima-media thickness and coronary artery disease risk

Gertow, Karl, Sennblad, Bengt, Strawbridge, Rona J., Ohrvik, John, Zabaneh, Delilah, Shah, Sonia, Veglia, Fabrizio, Fava, Cristiano, Kavousi, Maryam, McLachlan, Stela, Kivimaki, Mika, Bolton, Jennifer L., Folkersen, Lasse, Gigante, Bruna, Leander, Karin, Vikstrom, Max, Larsson, Malin, Silveira, Angela, Deanfield, John, Voight, Benjamin F., Fontanillas, Pierre, Sabater-Lleal, Maria, Colombo, Gualtiero I., Kumari, Meena, Langenberg, Claudia, Wareham, Nick J., Uitterlinden, André G., Gabrielsen, Anders, Hedin, Ulf ... Hamsten, Anders (2012). Identification of the BCAR1-CFDP1-TMEM170A locus as a determinant of carotid intima-media thickness and coronary artery disease risk. Circulation: Cardiovascular Genetics, 5 (6), 656-665. doi: 10.1161/CIRCGENETICS.112.963660

Identification of the BCAR1-CFDP1-TMEM170A locus as a determinant of carotid intima-media thickness and coronary artery disease risk

2012

Journal Article

Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

Scott, Robert A., Lagou, Vasiliki, Welch, Ryan P., Wheeler, Eleanor, Montasser, May E., Luan, Jian’an, Mägi, Reedik, Strawbridge, Rona J., Rehnberg, Emil, Gustafsson, Stefan, Kanoni, Stavroula, Rasmussen-Torvik, Laura J., Yengo, Loïc, Lecoeur, Cecile, Shungin, Dmitry, Sanna, Serena, Sidore, Carlo, Johnson, Paul C. D., Jukema, J. Wouter, Johnson, Toby, Mahajan, Anubha, Verweij, Niek, Thorleifsson, Gudmar, Hottenga, Jouke-Jan, Shah, Sonia, Smith, Albert V., Sennblad, Bengt, Gieger, Christian, Salo, Perttu ... Barroso, Inês (2012). Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nature Genetics, 44 (9), 991-1005. doi: 10.1038/ng.2385

Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

2012

Journal Article

Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration

Angelakopoulou, Aspasia, Shah, Tina, Sofat, Reecha, Shah, Sonia, Berry, Diane J., Cooper, Jackie, Palmen, Jutta, Tzoulaki, Ioanna, Wong, Andrew, Jefferis, Barbara J., Maniatis, Nikolas, Drenos, Fotios, Gigante, Bruna, Hardy, Rebecca, Laxton, Ross C., Leander, Karin, Motterle, Anna, Simpson, Iain A., Smeeth, Liam, Thomson, Andy, Verzilli, Claudio, Kuh, Diana, Ireland, Helen, Deanfield, John, Caulfield, Mark, Wallace, Chris, Samani, Nilesh, Munroe, Patricia B., Lathrop, Mark ... Hingorani, Aroon D. (2012). Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration. European Heart Journal, 33 (3), 393-407. doi: 10.1093/eurheartj/ehr225

Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration

2012

Journal Article

IRS1 gene variants, dysglycaemic metabolic changes and type-2 diabetes risk

Yiannakouris, N., Cooper, J. A., Shah, S., Drenos, F., Ireland, H. A., Stephens, J. W., Li, K.-W., Elkeles, R., Godsland, I. F., Kivimaki, M., Hingorani, A. D., Kumari, M., Talmud, P. J. and Humphries, S. E. (2012). IRS1 gene variants, dysglycaemic metabolic changes and type-2 diabetes risk. Nutrition, Metabolism and Cardiovascular Diseases, 22 (12), 1024-1030. doi: 10.1016/j.numecd.2011.05.009

IRS1 gene variants, dysglycaemic metabolic changes and type-2 diabetes risk

2012

Journal Article

Use of Allele-Specific FAIRE to Determine Functional Regulatory Polymorphism Using Large-Scale Genotyping Arrays

Smith, Andrew J. P., Howard, Philip, Shah, Sonia, Eriksson, Per, Stender, Stefan, Giambartolomei, Claudia, Folkersen, Lasse, Tybjaerg-Hansen, Anne, Kumari, Meena, Palmen, Jutta, Hingorani, Aroon D., Talmud, Philippa J. and Humphries, Steve E. (2012). Use of Allele-Specific FAIRE to Determine Functional Regulatory Polymorphism Using Large-Scale Genotyping Arrays. PLoS Genetics, 8 (8) e1002908, e1002908.1-e1002908.10. doi: 10.1371/journal.pgen.1002908

Use of Allele-Specific FAIRE to Determine Functional Regulatory Polymorphism Using Large-Scale Genotyping Arrays

2011

Journal Article

Transcriptomic analyses of murine resolution-phase macrophages

Stables, Melanie J., Shah, Sonia, Camon, Evelyn B., Lovering, Ruth C., Newson, Justine, Bystrom, Jonas, Farrow, Stuart and Gilroy, Derek W. (2011). Transcriptomic analyses of murine resolution-phase macrophages. Blood, 118 (26), e192-e208. doi: 10.1182/blood-2011-04-345330

Transcriptomic analyses of murine resolution-phase macrophages

2011

Journal Article

Blood pressure loci identified with a gene-centric array

Johnson, Toby, Gaunt, Tom R., Newhouse, Stephen J., Padmanabhan, Sandosh, Tomaszewski, Marciej, Kumari, Meena, Morris, Richard W., Tzoulaki, Ioanna, O'Brien, Eoin T., Poulter, Neil R., Sever, Peter, Shields, Denis C., Thom, Simon, Wannamethee, Sasiwarang G., Whincup, Peter H., Brown, Morris J., Connell, John M., Dobson, Richard J., Howard, Philip J., Mein, Charles A., Onipinla, Abiodun, Shaw-Hawkins, Sue, Zhang, Yun, Smith, George Davey, Day, Ian N. M., Lawlor, Debbie A., Goodall, Alison H.., Fowkes, F. Gerald, Abecasis, Goncalo R. ... Munroe, Patricia B. (2011). Blood pressure loci identified with a gene-centric array. American Journal of Human Genetics, 89 (6), 688-700. doi: 10.1016/j.ajhg.2011.10.013

Blood pressure loci identified with a gene-centric array

2011

Journal Article

Meta-analysis of Dense Genecentric Association Studies Reveals Common and Uncommon Variants Associated with Height

Lanktree, Matthew B., Guo, Yiran, Murtaza, Muhammed, Glessner, Joseph T., Bailey, Swneke D., Onland-Moret, N. Charlotte, Lettre, Guillaume, Ongen, Halit, Rajagopalan, Ramakrishnan, Johnson, Toby, Shen, Haiqing, Nelson, Christopher P., Klopp, Norman, Baumert, Jens, Padmanabhan, Sandosh, Pankratz, Nathan, Pankow, James S., Shah, Sonia, Taylor, Kira, Barnard, John, Peters, Bas J., Maloney, Cliona M., Lobmeyer, Maximilian T., Stanton, Alice, Zafarmand, M. Hadi, Romaine, Simon P. R., Mehta, Amar, van Iperen, Erik P. A., Gong, Yan ... Keating, Brendan J. (2011). Meta-analysis of Dense Genecentric Association Studies Reveals Common and Uncommon Variants Associated with Height. American Journal of Human Genetics, 88 (1), 6-18. doi: 10.1016/j.ajhg.2010.11.007

Meta-analysis of Dense Genecentric Association Studies Reveals Common and Uncommon Variants Associated with Height

2011

Journal Article

ChIP-on-chip analysis reveals angiopoietin 2 (Ang2, ANGPT2) as a novel target of steroidogenic factor-1 (SF-1, NR5A1) in the human adrenal gland

Ferraz-de-Souza, Bruno, Lin, Lin, Shah, Sonia, Jina, Nipurna, Hubank, Mike, Dattani, Mehul T. and Achermann, John C. (2011). ChIP-on-chip analysis reveals angiopoietin 2 (Ang2, ANGPT2) as a novel target of steroidogenic factor-1 (SF-1, NR5A1) in the human adrenal gland. FASEB Journal, 25 (4), 1166-1175. doi: 10.1096/fj.10-170522

ChIP-on-chip analysis reveals angiopoietin 2 (Ang2, ANGPT2) as a novel target of steroidogenic factor-1 (SF-1, NR5A1) in the human adrenal gland

2011

Journal Article

Genetic Variants Associated with von Willebrand Factor Levels in Healthy Men and Women Identified Using the HumanCVD BeadChip

Zabaneh, Delilah, Gaunt, Tom R., Kumari, Meena, Drenos, Fotios, Shah, Sonia, Berry, Diane, Power, Chris, Hypponen, Elina, Shah, Tina, Palmen, Jutta, Pallas, Jacky, Talmud, Philippa J., Casas, Juan Pablo, Sofat, Reecha, Lowe, Gordon, Rumley, Ann, Morris, Richard W., Whincup, Peter H., Rodriguez, Santiago, Ebrahim, Shah, Marmot, Michael G., Smith, George Davey, Lawlor, Debbie A., Kivimaki, Mika, Whittaker, John, Hingorani, Aroon D., Day, Ian N. and Humphries, Steve E. (2011). Genetic Variants Associated with von Willebrand Factor Levels in Healthy Men and Women Identified Using the HumanCVD BeadChip. Annals of Human Genetics, 75 (4), 456-467. doi: 10.1111/j.1469-1809.2011.00654.x

Genetic Variants Associated with von Willebrand Factor Levels in Healthy Men and Women Identified Using the HumanCVD BeadChip

Funding

Current funding

  • 2024 - 2029
    AAA-Medical: Integrating Synergistic Expertise For Better Treatment Of Abdominal Aortic Aneurysm (NHMRC Synergy Grant administered by James Cook University)
    James Cook University
    Open grant
  • 2024 - 2027
    ACTIVATION OF AMPK TO TREAT ABDOMINAL AORTIC ANEURYSM (5As) (MRFF Cardiovascular Health Grant administered by James Cook University)
    James Cook University
    Open grant
  • 2022 - 2025
    Preparing Australia for use of genomics in prevention of heart-disease: Focus on South Asian Australians
    NHMRC MRFF Genomics Health Futures Mission
    Open grant
  • 2022 - 2027
    The Australian Genetic Diversity Database: towards a more equitable future for genomic medicine in Australia (MRFF Genomics Health Futures Mission grant administered by UNSW)
    University of New South Wales
    Open grant
  • 2022 - 2026
    TRIAGE: A disease agnostic computational and modelling platform to accelerate variant classification
    NHMRC MRFF Genomics Health Futures Mission
    Open grant
  • 2022 - 2026
    Use genetic and genomic data to improve the understanding, prevention and treatment of cardiovascular disease
    National Heart Foundation Future Leader Fellowship
    Open grant
  • 2021 - 2025
    Liver Transcriptomics Research
    Research Donation Generic
    Open grant

Past funding

  • 2023
    DEVELOPING UQ's FIRST HIGH-THROUGHPUT GENOMICS PIPELINE FOR DRUG DISCOVERY
    UQ Foundation Research Excellence Awards
    Open grant
  • 2021 - 2022
    Evaluating the utility of polygenic risk scores within the Queensland Cardiac Genetics Clinic
    UQ Knowledge Exchange & Translation Fund
    Open grant
  • 2021 - 2023
    Identifying unintentional effects of medication using statistical genetics analyses of large-scale genetic and genomic data
    NHMRC IDEAS Grants
    Open grant
  • 2019 - 2022
    A Systems Epidemiology Approach To Define Metabolic And Genomic Determinants Of Alzheimer's Disease (NHMRC Project Grant administered by Baker Institute)
    Baker IDI Heart & Diabetes Institute
    Open grant
  • 2018 - 2021
    Healthy heart, healthy brain - using genetic data to investigate the causal relationship between cardiovascular and neurodegenerative disease
    NHMRC Early Career Fellowships
    Open grant

Supervision

Availability

Associate Professor Sonia Shah is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Using Genetics and Artificial Intelligence to Support Disease Prediction and Diagnosis

    Principal Advisor

  • Doctor Philosophy

    Investigating sex differences in cardiovascular risk factors using genomic data

    Principal Advisor

  • Doctor Philosophy

    Using genomics to predict the mechanism-of-action of a chemical entity

    Principal Advisor

    Other advisors: Professor Irina Vetter

  • Doctor Philosophy

    Using genetics to predict drug efficacy and on-target side effects of pharmacological agents

    Associate Advisor

    Other advisors: Professor Glenn King, Professor David Evans

  • Doctor Philosophy

    Understanding genetic adaptation of the heart to extreme environments

    Associate Advisor

    Other advisors: Professor Nathan Palpant

Completed supervision

Media

Enquiries

Contact Associate Professor Sonia Shah directly for media enquiries about:

  • cardiovascular disease
  • genetics
  • genomics

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For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au