Personal profile
Research interests
My research focuses on methodological and applied questions in genetic epidemiology and statistical genetics, with the overarching aim of improving causal understanding of complex traits and diseases. Across my training and postdoctoral work, I have combined methodological development with large-scale genomic data analysis and interdisciplinary collaboration. My research spans population genetics, human statistical genetics, functional genomics and causal inference, and centres on the development and application of quantitative approaches to interpret genetic variation and its consequences for complex traits and disease.
Research Groups and Themes
- Bristol Population Health Science Institute
- MRC Integrative Epidemiology Unit
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Collaborations and top research areas from the last five years
Research output
- 6 Article (Academic Journal)
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Estimating temporally variable selection intensity from ancient DNA data
He, Z., Dai, X., Lyu, W., Beaumont, M. A. & Yu, F., 1 Mar 2023, In: Molecular Biology and Evolution. 40, 3, msad008.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access8 Citations (Scopus) -
Estimating temporally variable selection intensity from ancient DNA data with the flexibility of modelling linkage and epistasis
Yu, F., He, Z., Dai, X., Lyu, W. & Beaumont, M. A., 1 Aug 2023, In: Molecular Ecology Resources. 23, 6, p. 1226-1240 15 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile51 Downloads (Pure) -
Inferring the timing and strength of natural selection and gene migration in the evolution of chicken from ancient DNA data
Yu, F., Lyu, W., He, Z., Beaumont, M. A. & Dai, X., 28 Sept 2021, (Accepted/In press) In: Molecular Ecology Resources.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access
Thesis
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Bayesian methods for inferring selection and demographic from historical and contemporary DNA sequences
Dai, X. (Author), Beaumont, M. (Supervisor), 12 May 2020Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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