Chin Yang Shapland

Emailchinyang.shaplandbristol.acuk

BS8 2BN

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Research interests

I am a Biostatistician, specialises in Genetic Epidemiology, and working at MRC Integrative Epidemiology Unit. My research interest is in Mendelian randomisations, Bayesian approaches, triangulation, and prior elicitation.

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UNSEEN heatwave mortality
Shapland, C. Y., Lo, E., Tilling, K. M. & Mitchell, D. M.
1/06/23 → 31/05/24
Project: Research

13 Article (Academic Journal)

Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people
Eising, E., Mirza-Schreiber, N., de Zeeuw, E. L., Wang, C. A., Truong, D. T., Allegrini, A. G., Shapland, C. Y., Zhu, G., Wigg, K. G., Gerritse, M. L., Molz, B., Alagöz, G., Gialluisi, A., Abbondanza, F., Rimfeld, K., van Donkelaar, M., Liao, Z., Jansen, P. R., Andlauer, T. F. M., Bates, T. C., & 75 othersBernard, M., Blokland, K., Bonte, M., Børglum, A. D., Bourgeron, T., Brandeis, D., Ceroni, F., Csépe, V., Dale, P. S., de Jong, P. F., DeFries, J. C., Démonet, J-F., Demontis, D., Feng, Y., Gordon, S. D., Guger, S. L., Hayiou-Thomas, M. E., Hernández-Cabrera, J. A., Hottenga, J-J., Hulme, C., Kere, J., Kerr, E. N., Koomar, T., Landerl, K., Leonard, G. T., Lovett, M. W., Lyytinen, H., Martin, N. G., Martinelli, A., Maurer, U., Michaelson, J. J., Moll, K., Monaco, A. P., Morgan, A. T., Nöthen, M. M., Pausova, Z., Pennell, C. E., Pennington, B. F., Price, K. M., Rajagopal, V. M., Ramus, F., Richer, L., Simpson, N. H., Smith, S. D., Snowling, M. J., Stein, J., Strug, L. J., Talcott, J. B., Tiemeier, H., van der Schroeff, M. P., Verhoef, E., Watkins, K. E., Wilkinson, M., Wright, M. J., Barr, C. L., Boomsma, D. I., Carreiras, M., Franken, M-C. J., Gruen, J. R., Luciano, M., Müller-Myhsok, B., Newbury, D. F., Olson, R. K., Paracchini, S., Paus, T., Plomin, R., Reilly, S., Schulte-Körne, G., Tomblin, J. B., van Bergen, E., Whitehouse, A. J. O., Willcutt, E. G., St Pourcain, B., Francks, C. & Fisher, S. E., 30 Aug 2022, In: Proceedings of the National Academy of Sciences of the United States of America. 119, 35, 12 p., e2202764119.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
15 Citations (Scopus)

14 Downloads (Pure)
Profile-likelihood Bayesian model averaging for two-sample summary data Mendelian randomization in the presence of horizontal pleiotropy
Shapland, C. Y., Zhao, Q. & Bowden, J., 24 Feb 2022, In: Statistics in Medicine. 41, 6, p. 1100-1119 20 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
2 Citations (Scopus)

53 Downloads (Pure)
Using Mendelian Randomisation to Prioritise Candidate Maternal Metabolic Traits Influencing Offspring Birthweight
Barry, C-J. S., Lawlor, D. A., Shapland, C. Y., Sanderson, E. C. M. & Borges, M. C., 10 Jun 2022, In: Metabolites. 12, 6, 537.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
1 Citation (Scopus)

12 Downloads (Pure)

Dr Chin Yang Shapland

Personal profile

Research interests

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

UNSEEN heatwave mortality

Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people

Profile-likelihood Bayesian model averaging for two-sample summary data Mendelian randomization in the presence of horizontal pleiotropy

Using Mendelian Randomisation to Prioritise Candidate Maternal Metabolic Traits Influencing Offspring Birthweight

Dr Chin Yang Shapland

Personal profile

Research interests

Fingerprint

Collaborations and top research areas from the last five years

Projects

UNSEEN heatwave mortality

Research output

Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people

Profile-likelihood Bayesian model averaging for two-sample summary data Mendelian randomization in the presence of horizontal pleiotropy

Using Mendelian Randomisation to Prioritise Candidate Maternal Metabolic Traits Influencing Offspring Birthweight