Email Address: email@example.com
I am a MRC Career Development Award research fellow and also hold an honorary contract with Imperial College London, where I study the nature, causes and consequences of multimorbidity (having >1 long-term conditions). My team use Electronic Health Records, genomic data and modern statistical approaches, including clustering, prediction models and causal inference. I am part of two UK initiatives: (1) The Health Data Research-UK National Multimorbidity Resource, and (2) Bringing Innovative Research Methods to the Cluster Analysis of Multimorbidity.
Selected PapersZhu Y, Edwards D, Mant J, Payne R, Kiddle S (2019)The nature of clusters of multimorbid patients in the UK: a latent class analysis.
Whittaker H, Müllerova H, Jarvis D, Barnes N, Jones P, Compton C, Kiddle S*, Quint J* (2019)Inhaled corticosteroids, blood eosinophils, and FEV1 decline in patients with COPD in a large UK primary health care setting
Int J Chron Obstruct Pulmon Dis 14: 1063–1073
Kiddle S, Voyle N, Dobson R (2018)A blood test for Alzheimer’s disease: progress, challenges, and recommendations
J Alz Dis 64: S289–S297
Hampel H, O’Bryant S, Molinuevo J, Zetterberg H, Masters C, Lista S, Kiddle S, Batrla R, Blennow K (2018)Blood-based biomarkers for Alzheimer disease: mapping the road to the clinic
Nat Rev Neurol 14: 639–652
Jansen, … Kiddle (middle of 52 authors), …, Posthuma (2019)Genetic meta-analysis identifies 9 novel loci and functional pathways for Alzheimer's disease risk
Nat Genet 51 (3): 404-413
Menni C*, Kiddle SJ*, Mangino M, … , Spector TD, Dobson R, Valdes AM. (2015)Circulating proteomic signatures of chronological age
Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences 70 (7): 809 - 816