COLLEGE OF MEDICINE AND HEALTH
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Dr Katie Young

Dr Katie Young

Postdoctoral Research Associate

 

Overview

Katie is a Postdoctoral Research Associate in Health Data Science, working in Professor Andrew Hattersley’s diabetes research team.

Previously Katie worked as a Research Data Coordinator within the team, working with the data from UK Biobank (particularly primary care records) to identify prevalent and incident cases of diabetes.

In her current role she is working with Dr John Dennis on stratified medicine in Type 2 diabetes, using primary care data from the Clinical Practice Research Datalink (CPRD).

Qualifications

  • PhD in Biophysics (University of Oxford)
  • MBiochem Biochemistry (University of Oxford)

Research

Research interests

  • Primary care record usage in research
  • Type 2 diabetes
  • Stratified / personalised medicine

Publications

Key publications | Publications by category | Publications by year

Key publications


Heald AH, Martin S, Fachim H, Green HD, Young KG, Malipatil N, Siddals K, Cortes G, Tyrrell J, Wood AR, et al (2021). Genetically defined favourable adiposity is not associated with a clinically meaningful difference in clinical course in people with type 2 diabetes but does associate with a favourable metabolic profile. Diabetic Medicine, 38(9).

Publications by category


Journal articles

Heald AH, Martin S, Fachim H, Green HD, Young KG, Malipatil N, Siddals K, Cortes G, Tyrrell J, Wood AR, et al (2021). Genetically defined favourable adiposity is not associated with a clinically meaningful difference in clinical course in people with type 2 diabetes but does associate with a favourable metabolic profile. Diabetic Medicine, 38(9).
Najafi B, Young KG, Bath J, Louis AA, Doye JPK, Turberfield AJ (2020). Characterising DNA T-motifs by Simulation and Experiment. Arxiv Abstract.
Young KG, Najafi B, Sant WM, Contera S, Louis AA, Doye JPK, Turberfield AJ, Bath J (2020). Reconfigurable T‐junction DNA Origami. Angewandte Chemie, 132(37), 16076-16080.

Conferences

(2021). Basic and clinical science posters: Type 2 diabetes.
(2021). Insights from real‐world data (2).
Gilchrist M, Casanova F, Tyrrell J, Fife N, Young K, Oram R, Weedon M (2021). MO042PREVALENCE OF FABRY DISEASE CAUSING VARIANTS IN THE UK BIOBANK.  Abstract.
Young KG, Dennis JM, Thomas NJ, Jones AG, McGovern A, Shields BM, Barroso I, Hattersley AT (2021). Participants with undiagnosed diabetes in UK Biobank wait on average two years to receive a diagnosis, and simple clinical features are associated with diagnosis delays.  Author URL.
Carr ALJ, Sharp SA, Young KG, Thomas NJ, Hattersley AT, Jones AG, Oram RA (2020). A type 1 diabetes genetic risk score is discriminative of adult-onset type 1 diabetes.  Author URL.
Young KG, Hill A, Tippett P, Knight BA, Hattersley AT, McDonald T, Shields BM, Thomas NJ, Jones AG, Grp SS, et al (2020). Adult-onset autoimmune diabetes has similar markers of severity and progression regardless of age of diagnosis, but is less likely to be managed intensively when diagnosed in older adults.  Author URL.
Young KG, Thomas NJ, Jones AG, McGovern A, Shields BM, Barroso I, Hattersley AT (2020). HbA(1c) screening in 195,460 'non-diabetic' individuals (40-69 years) identifies 1.1% with undiagnosed diabetes 2 years before clinical diagnosis.  Author URL.
Young K, Najafi B, Bath J, Turberfield A (2017). DNA T-junctions for studies of DNA origami assembly.

Publications by year


In Press

Young KG, McDonald TJ, Shields BM (In Press). HbA1c measurements from UK Biobank are different to those in linked primary care records: implications for combining biochemistry data from research studies and routine clinical care.  Abstract.
Green HD, Young KG, Jones AG, Weedon MN, Dennis JM (In Press). Using joint models to adjust for informative drop-out when modelling a longitudinal biomarker: an application to type 2 diabetes disease progression.  Abstract.

2021

(2021). Basic and clinical science posters: Type 2 diabetes.
Heald AH, Martin S, Fachim H, Green HD, Young KG, Malipatil N, Siddals K, Cortes G, Tyrrell J, Wood AR, et al (2021). Genetically defined favourable adiposity is not associated with a clinically meaningful difference in clinical course in people with type 2 diabetes but does associate with a favourable metabolic profile. Diabetic Medicine, 38(9).
(2021). Insights from real‐world data (2).
Gilchrist M, Casanova F, Tyrrell J, Fife N, Young K, Oram R, Weedon M (2021). MO042PREVALENCE OF FABRY DISEASE CAUSING VARIANTS IN THE UK BIOBANK.  Abstract.
Young KG, Dennis JM, Thomas NJ, Jones AG, McGovern A, Shields BM, Barroso I, Hattersley AT (2021). Participants with undiagnosed diabetes in UK Biobank wait on average two years to receive a diagnosis, and simple clinical features are associated with diagnosis delays.  Author URL.

2020

Carr ALJ, Sharp SA, Young KG, Thomas NJ, Hattersley AT, Jones AG, Oram RA (2020). A type 1 diabetes genetic risk score is discriminative of adult-onset type 1 diabetes.  Author URL.
Young KG, Hill A, Tippett P, Knight BA, Hattersley AT, McDonald T, Shields BM, Thomas NJ, Jones AG, Grp SS, et al (2020). Adult-onset autoimmune diabetes has similar markers of severity and progression regardless of age of diagnosis, but is less likely to be managed intensively when diagnosed in older adults.  Author URL.
Najafi B, Young KG, Bath J, Louis AA, Doye JPK, Turberfield AJ (2020). Characterising DNA T-motifs by Simulation and Experiment. Arxiv Abstract.
Young KG, Thomas NJ, Jones AG, McGovern A, Shields BM, Barroso I, Hattersley AT (2020). HbA(1c) screening in 195,460 'non-diabetic' individuals (40-69 years) identifies 1.1% with undiagnosed diabetes 2 years before clinical diagnosis.  Author URL.
Young KG, Najafi B, Sant WM, Contera S, Louis AA, Doye JPK, Turberfield AJ, Bath J (2020). Reconfigurable T‐junction DNA Origami. Angewandte Chemie, 132(37), 16076-16080.

2017

Young K, Najafi B, Bath J, Turberfield A (2017). DNA T-junctions for studies of DNA origami assembly.

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Teaching

Supervision / Group

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