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Personal profile

Research interests

I currently work on 'Using ancient DNA to understand Multiple Sclerosis'.

My research mainly focuses on applying statistical methods to population genetics.

I have developed two R packages which are available from GitHub:

LDAandLDAS: Linkage Disequilibrium of Ancestry (LDA) and LDA Score (LDAS)

HTRX: Haplotype Trend Regression with eXtra Flexibility

Talks:

Using ancient DNA to understand Multiple Sclerosis, Statistics discussion group, MRC IEU, University of Bristol, April 2022.

Using ancient DNA to understand Multiple Sclerosis, Research Students' Conference in Population Genetics, University of Warwick, June 2022.

HTRX: Haplotype Trend Regression with eXtra flexibility for learning SNPs and non-contiguous haplotypes associated with a phenotype. IEU monthly meeting, University of Bristol, November 2022.

Papers:

Barrie W, Yang Y, Attfield K E, et al. Genetic risk for Multiple Sclerosis originated in Pastoralist Steppe populations. bioRxiv (2022).

Yang Y, Lawson DJ. HTRX: an R package for learning non-contiguous haplotypes associated with a phenotype. bioRxiv (2022).

 

Education/Academic qualification

University College London

21 Sep 202020 Sep 2021

Award Date: 20 Sep 2021

Beijing University of Chemical Technology

25 Aug 201615 Jun 2020

Award Date: 15 Jun 2020

Keywords

  • Population genetics
  • Biostatistics
  • Association Study
  • Statistics
  • Machine Learning
  • R packages

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