Dr Yanchun Bao
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Email
ybaoa@essex.ac.uk -
Telephone
+44 (0) 1206 874743
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Location
2.523, Colchester Campus
Profile
Biography
Biography I am a senior lecturer in statistics and data science at the School of Mathematics, Statistics and Actuarial Sciences of the University of Essex. I obtained my PhD from University of Manchester in 2007. Prior to joining the University of Essex at 2014, I worked as a post doctor researcher in University of Manchester, Brunel University and University of College London. I worked as researcher at Institute for Social and Economic Research from 2014 to 2019. My research interests are developing statistical methodology in health, biology and social research areas. More specifically, my main research interests include: 1. Longitudinal and survival analysis. 2. Causal methods. 3. Instrumental methods (Mendelian Randomization). 4. Bioinformatics research (statistical methods for omic data, such as SNP, DNAm, proteomic, ChIP-sequencing and HiC data). 5. Covariance modelling. I welcome enquiries from potential PhD students with good background in Statistics or Data Science and have research interests to work in the area of health and social, bioinformatics or statistics. If you intend to pursue your PhD under my supervision, please send your academic CV to me via email.
Qualifications
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PhD in Statistics University of Manchester, (2007)
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MSc in Statistics Peking University, (2002)
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BSc in Statistics Yunnan University, (1999)
Appointments
University of Essex
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Senior lecturer, School of Mathematics, Statistics and Actuarial Science, University of Essex (1/9/2019 - present)
Other academic
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Lecturer, Department of Mathematical Sciences,, University of Essex (1/9/2019 - 30/9/2023)
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Research Fellow, Institute for social and economic research,, University of Essex (1/10/2017 - 31/8/2019)
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Senior Research Officer, Institute for social and economic research, University of Essex (1/4/2014 - 30/9/2017)
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Research associate, Department of Population Health Sciences, Institute of Child Health, University College London (1/5/2013 - 31/3/2014)
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Research Fellow, Department of Mathematics, Brunel University London (1/5/2011 - 30/4/2013)
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Lecturer, Department of Mathematics, Yunnan Normal University (1/8/2009 - 31/7/2010)
Research and professional activities
Research interests
Longitudinal data analysis
Survival analysis
Mendelian Randomization
Causal method (Instrumental variable method, structural mean model)
Covariance modelling
Bioinformatics research for omic data
Statistical integration and machine learning methods for omic data such as SNP, DNA methylation and proteomic data in biology and social research. Statistical methods for ChIP-sequencing and HiC data.
Current research
Croud Inc Ltd KTP Grant
I am currently working with Croud Inc Ltd, supported by a two-year KTP grant, together with Vasileios Giagos, Yanchun Bao and an external member Hongsheng Dai at Newcastle University.
Conferences and presentations
Distributed Instrumental variable analysis in three UK studies
EcoSta2023, 2/8/2023
Estimating mode effects from a sequential mixed-modes experiment
EcoSta2021, 24/6/2021
Teaching and supervision
Current teaching responsibilities
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Statistical Methods (MA318)
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Bayesian and Computational Statistics (MA322)
Previous supervision
Degree subject: Data Science
Degree type: Doctor of Philosophy
Awarded date: 4/7/2023
Degree subject: Bio-Statistics
Degree type: Doctor of Philosophy
Awarded date: 26/1/2022
Publications
Journal articles (36)
Kweon, H., Burik, CAP., Bao, Y., Fisher, P. and et al, Associations between common genetic variants and income provide insights about the socio-economic health gradient. Nature Human Behaviour
Wang, W., Dearman, A., Bao, Y. and Kumari, M., (2023). Partnership status and positive DNA methylation age acceleration across the adult lifespan in the UK. SSM - Population Health. 24, 101551-101551
Clarke, P. and Bao, Y., (2022). Estimating mode effects from a sequential mixed-mode experiment using structural moment models. The Annals of Applied Statistics. 16 (3), 1563-1585
Osuntoki, IG., Harrison, A., Dai, H., Bao, Y. and Zabet, NR., (2022). ZipHiC: a novel Bayesian framework to identify enriched interactions and experimental biases in Hi-C data. Bioinformatics. 38 (14), 3523-3531
Liang, W., Hu, J., Dai, H. and Bao, Y., (2022). Efficient Empirical Likelihood Inference for recovery rate of COVID-19 under Double-Censoring. Journal of Statistical Planning and Inference. 221, 172-187
Bao, Y., Gorrie-Stone, T., Hannon, E., Hughes, A., Andrayas, A., Neilson, G., Burrage, J., Mill, J., Schalkwyk, L. and Kumari, M., (2022). Social mobility across the lifecourse and DNA methylation age acceleration in adults in the UK.. Scientific Reports. 12 (1), 22284-22284
Bejar, CA., Goyal, S., Afzal, S., Mangino, M., Zhou, A., van der Most, PJ., Bao, Y., Gupta, V., Smart, MC., Walia, GK., Verweij, N., Power, C., Prabhakaran, D., Singh, JR., Mehra, NK., Wander, GS., Ralhan, S., Kinra, S., Kumari, M., de Borst, MH., Hyppönen, E., Spector, TD., Nordestgaard, BG., Blackett, PR. and Sanghera, DK., (2021). A Bidirectional Mendelian Randomization Study to evaluate the causal role of reduced blood vitamin D levels with type 2 diabetes risk in South Asians and Europeans.. Nutrition Journal. 20 (1), 71-
Hulls, PM., de Vocht, F., Bao, Y., Relton, CL., Martin, RM. and Richmond, RC., (2020). DNA methylation signature of passive smoke exposure is less pronounced than active smoking: the Understanding Society study. Environmental Research. 190, 109971-109971
Karlsson Linnér, R., Biroli, P., Kong, E., Meddens, SFW., Wedow, R., Fontana, MA., Lebreton, M., Tino, SP., Abdellaoui, A., Hammerschlag, AR., Nivard, MG., Okbay, A., Rietveld, CA., Timshel, PN., Trzaskowski, M., Vlaming, RD., Zünd, CL., Bao, Y., Buzdugan, L., Caplin, AH., Chen, C-Y., Eibich, P., Fontanillas, P., Gonzalez, JR., Joshi, PK., Karhunen, V., Kleinman, A., Levin, RZ., Lill, CM., Meddens, GA., Muntané, G., Sanchez-Roige, S., Rooij, FJV., Taskesen, E., Wu, Y., Zhang, F., Auton, A., Boardman, JD., Clark, DW., Conlin, A., Dolan, CC., Fischbacher, U., Groenen, PJF., Harris, KM., Hasler, G., Hofman, A., Ikram, MA., Jain, S., Karlsson, R., Kessler, RC., Kooyman, M., MacKillop, J., Männikkö, M., Morcillo-Suarez, C., McQueen, MB., Schmidt, KM., Smart, MC., Sutter, M., Thurik, AR., Uitterlinden, AG., White, J., Wit, HD., Yang, J., Bertram, L., Boomsma, DI., Esko, T., Fehr, E., Hinds, DA., Johannesson, M., Kumari, M., Laibson, D., Magnusson, PKE., Meyer, MN., Navarro, A., Palmer, AA., Pers, TH., Posthuma, D., Schunk, D., Stein, MB., Svento, R., Tiemeier, H., Timmers, PRHJ., Turley, P., Ursano, RJ., Wagner, GG., Wilson, JF., Gratten, J., Lee, JJ., Cesarini, D., Benjamin, DJ., Koellinger, PD. and Beauchamp, JP., (2019). Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences. Nature Genomics. 51 (2), 245-257
Garfield, V., Fatemifar, G., Dale, C., Smart, M., Bao, Y., Llewellyn, CH., Steptoe, A., Zabaneh, D. and Kumari, M., (2019). Assessing potential shared genetic aetiology between body mass index and sleep duration in 142,209 individuals. Genetic Epidemiology. 43 (2), 207-214
Bao, Y., Clarke, PS., Smart, M. and Kumari, M., (2019). Assessing the robustness of sisVIVE in a Mendelian randomization study to estimate the causal effect of body mass index on income using multiple SNPs from understanding society. Statistics in Medicine. 38 (9), 1529-1542
Baselmans, BML., Jansen, R., Ip, HF., van Dongen, J., Abdellaoui, A., van de Weijer, MP., Bao, Y., Smart, M., Kumari, M., Willemsen, G., Hottenga, J-J., Boomsma, DI., de Geus, EJC., Nivard, MG. and Bartels, M., (2019). Multivariate genome-wide analyses of the well-being spectrum. Nature Genetics. 51 (3), 445-451
Hughes, A., Bao, Y., Smart, M., Gorrie-Stone, T., Hannon, E., Mill, J., Burrage, J., Schalkwyk, L. and Kumari, M., (2019). THE AUTHORS REPLY. American Journal of Epidemiology. 188 (2), 488-489
Mansell, G., Gorrie-Stone, TJ., Bao, Y., Kumari, M., Schalkwyk, LS., Mill, J. and Hannon, E., (2019). Guidance for DNA methylation studies: statistical insights from the Illumina EPIC array. BMC Genomics. 20 (1), 366-
Clark, DW., Okada, Y., Moore, KHS., Mason, D., Pirastu, N., Gandin, I., Mattsson, H., Barnes, CLK., Lin, K., Zhao, JH., Deelen, P., Rohde, R., Schurmann, C., Guo, X., Giulianini, F., Zhang, W., Medina-Gomez, C., Karlsson, R., Bao, Y., Bartz, TM., Baumbach, C., Biino, G., Bixley, MJ., Brumat, M., Chai, J-F., Corre, T., Cousminer, DL., Dekker, AM., Eccles, DA., van Eijk, KR., Fuchsberger, C., Gao, H., Germain, M., Gordon, SD., de Haan, HG., Harris, SE., Hofer, E., Huerta-Chagoya, A., Igartua, C., Jansen, IE., Jia, Y., Kacprowski, T., Karlsson, T., Kleber, ME., Li, SA., Li-Gao, R., Mahajan, A., Matsuda, K., Meidtner, K., Meng, W., Montasser, ME., van der Most, PJ., Munz, M., Nutile, T., Palviainen, T., Prasad, G., Prasad, RB., Priyanka, TDS., Rizzi, F., Salvi, E., Sapkota, BR., Shriner, D., Skotte, L., Smart, MC., Smith, AV., van der Spek, A., Spracklen, CN., Strawbridge, RJ., Tajuddin, SM., Trompet, S., Turman, C., Verweij, N., Viberti, C., Wang, L., Warren, HR., Wootton, RE., Yanek, LR., Yao, J., Yousri, NA., Zhao, W., Adeyemo, AA., Afaq, S., Aguilar-Salinas, CA., Akiyama, M., Albert, ML., Allison, MA., Alver, M., Aung, T., Azizi, F., Bentley, AR., Boeing, H., Boerwinkle, E., Borja, JB., de Borst, GJ., Bottinger, EP., Broer, L., Campbell, H., Chanock, S., Chee, M-L., Chen, G., Chen, Y-DI., Chen, Z., Chiu, Y-F., Cocca, M., Collins, FS., Concas, MP., Corley, J., Cugliari, G., van Dam, RM., Damulina, A., Daneshpour, MS., Day, FR., Delgado, GE., Dhana, K., Doney, ASF., Dörr, M., Doumatey, AP., Dzimiri, N., Ebenesersdóttir, SS., Elliott, J., Elliott, P., Ewert, R., Felix, JF., Fischer, K., Freedman, BI., Girotto, G., Goel, A., Gögele, M., Goodarzi, MO., Graff, M., Granot-Hershkovitz, E., Grodstein, F., Guarrera, S., Gudbjartsson, DF., Guity, K., Gunnarsson, B., Guo, Y., Hagenaars, SP., Haiman, CA., Halevy, A., Harris, TB., Hedayati, M., van Heel, DA., Hirata, M., Höfer, I., Hsiung, CA., Huang, J., Hung, Y-J., Ikram, MA., Jagadeesan, A., Jousilahti, P., Kamatani, Y., Kanai, M., Kerrison, ND., Kessler, T., Khaw, K-T., Khor, CC., de Kleijn, DPV., Koh, W-P., Kolcic, I., Kraft, P., Krämer, BK., Kutalik, Z., Kuusisto, J., Langenberg, C., Launer, LJ., Lawlor, DA., Lee, I-T., Lee, W-J., Lerch, MM., Li, L., Liu, J., Loh, M., London, SJ., Loomis, S., Lu, Y., Luan, J., Mägi, R., Manichaikul, AW., Manunta, P., Másson, G., Matoba, N., Mei, XW., Meisinger, C., Meitinger, T., Mezzavilla, M., Milani, L., Millwood, IY., Momozawa, Y., Moore, A., Morange, P-E., Moreno-Macías, H., Mori, TA., Morrison, AC., Muka, T., Murakami, Y., Murray, AD., de Mutsert, R., Mychaleckyj, JC., Nalls, MA., Nauck, M., Neville, MJ., Nolte, IM., Ong, KK., Orozco, L., Padmanabhan, S., Pálsson, G., Pankow, JS., Pattaro, C., Pattie, A., Polasek, O., Poulter, N., Pramstaller, PP., Quintana-Murci, L., Räikkönen, K., Ralhan, S., Rao, DC., van Rheenen, W., Rich, SS., Ridker, PM., Rietveld, CA., Robino, A., van Rooij, FJA., Ruggiero, D., Saba, Y., Sabanayagam, C., Sabater-Lleal, M., Sala, CF., Salomaa, V., Sandow, K., Schmidt, H., Scott, LJ., Scott, WR., Sedaghati-Khayat, B., Sennblad, B., van Setten, J., Sever, PJ., Sheu, WH-H., Shi, Y., Shrestha, S., Shukla, SR., Sigurdsson, JK., Sikka, TT., Singh, JR., Smith, BH., Stančáková, A., Stanton, A., Starr, JM., Stefansdottir, L., Straker, L., Sulem, P., Sveinbjornsson, G., Swertz, MA., Taylor, AM., Taylor, KD., Terzikhan, N., Tham, Y-C., Thorleifsson, G., Thorsteinsdottir, U., Tillander, A., Tracy, RP., Tusié-Luna, T., Tzoulaki, I., Vaccargiu, S., Vangipurapu, J., Veldink, JH., Vitart, V., Völker, U., Vuoksimaa, E., Wakil, SM., Waldenberger, M., Wander, GS., Wang, YX., Wareham, NJ., Wild, S., Yajnik, CS., Yuan, J-M., Zeng, L., Zhang, L., Zhou, J., Amin, N., Asselbergs, FW., Bakker, SJL., Becker, DM., Lehne, B., Bennett, DA., van den Berg, LH., Berndt, SI., Bharadwaj, D., Bielak, LF., Bochud, M., Boehnke, M., Bouchard, C., Bradfield, JP., Brody, JA., Campbell, A., Carmi, S., Caulfield, MJ., Cesarini, D., Chambers, JC., Chandak, GR., Cheng, C-Y., Ciullo, M., Cornelis, M., Cusi, D., Smith, GD., Deary, IJ., Dorajoo, R., van Duijn, CM., Ellinghaus, D., Erdmann, J., Eriksson, JG., Evangelou, E., Evans, MK., Faul, JD., Feenstra, B., Feitosa, M., Foisy, S., Franke, A., Friedlander, Y., Gasparini, P., Gieger, C., Gonzalez, C., Goyette, P., Grant, SFA., Griffiths, LR., Groop, L., Gudnason, V., Gyllensten, U., Hakonarson, H., Hamsten, A., van der Harst, P., Heng, C-K., Hicks, AA., Hochner, H., Huikuri, H., Hunt, SC., Jaddoe, VWV., De Jager, PL., Johannesson, M., Johansson, Å., Jonas, JB., Jukema, JW., Junttila, J., Kaprio, J., Kardia, SLR., Karpe, F., Kumari, M., Laakso, M., van der Laan, SW., Lahti, J., Laudes, M., Lea, RA., Lieb, W., Lumley, T., Martin, NG., März, W., Matullo, G., McCarthy, MI., Medland, SE., Merriman, TR., Metspalu, A., Meyer, BF., Mohlke, KL., Montgomery, GW., Mook-Kanamori, D., Munroe, PB., North, KE., Nyholt, DR., O’connell, JR., Ober, C., Oldehinkel, AJ., Palmas, W., Palmer, C., Pasterkamp, GG., Patin, E., Pennell, CE., Perusse, L., Peyser, PA., Pirastu, M., Polderman, TJC., Porteous, DJ., Posthuma, D., Psaty, BM., Rioux, JD., Rivadeneira, F., Rotimi, C., Rotter, JI., Rudan, I., Den Ruijter, HM., Sanghera, DK., Sattar, N., Schmidt, R., Schulze, MB., Schunkert, H., Scott, RA., Shuldiner, AR., Sim, X., Small, N., Smith, JA., Sotoodehnia, N., Tai, E-S., Teumer, A., Timpson, NJ., Toniolo, D., Tregouet, D-A., Tuomi, T., Vollenweider, P., Wang, CA., Weir, DR., Whitfield, JB., Wijmenga, C., Wong, T-Y., Wright, J., Yang, J., Yu, L., Zemel, BS., Zonderman, AB., Perola, M., Magnusson, PKE., Uitterlinden, AG., Kooner, JS., Chasman, DI., Loos, RJF., Franceschini, N., Franke, L., Haley, CS., Hayward, C., Walters, RG., Perry, JRB., Esko, T., Helgason, A., Stefansson, K., Joshi, PK., Kubo, M. and Wilson, JF., (2019). Associations of autozygosity with a broad range of human phenotypes. Nature Communications. 10 (1), 4957-
El Khoury, LY., Gorrie-Stone, TJ., Smart, M., Hughes, A., Bao, Y., Andrayas, A., Burrage, J., Hannon, E., Kumari, M., Mill, J. and Schalkwyk, L., (2019). Systematic under-estimation of the epigenetic clock and age acceleration in older subjects. Genome Biology. 20 (1), 283-
Schmidt, AF., Holmes, MV., Preiss, D., Swerdlow, DI., Denaxas, S., Fatemifar, G., Faraway, R., Finan, C., Valentine, D., Fairhurst-Hunter, Z., Hartwig, FP., Horta, BL., Hypponen, E., Power, C., Moldovan, M., van Iperen, E., Hovingh, K., Demuth, I., Norman, K., Steinhagen-Thiessen, E., Demuth, J., Bertram, L., Lill, CM., Coassin, S., Willeit, J., Kiechl, S., Willeit, K., Mason, D., Wright, J., Morris, R., Wanamethee, G., Whincup, P., Ben-Shlomo, Y., McLachlan, S., Price, JF., Kivimaki, M., Welch, C., Sanchez-Galvez, A., Marques-Vidal, P., Nicolaides, A., Panayiotou, AG., Onland-Moret, NC., van der Schouw, YT., Matullo, G., Fiorito, G., Guarrera, S., Sacerdote, C., Wareham, NJ., Langenberg, C., Scott, RA., Luan, J., Bobak, M., Malyutina, S., Pająk, A., Kubinova, R., Tamosiunas, A., Pikhart, H., Grarup, N., Pedersen, O., Hansen, T., Linneberg, A., Jess, T., Cooper, J., Humphries, SE., Brilliant, M., Kitchner, T., Hakonarson, H., Carrell, DS., McCarty, CA., Lester, KH., Larson, EB., Crosslin, DR., de Andrade, M., Roden, DM., Denny, JC., Carty, C., Hancock, S., Attia, J., Holliday, E., Scott, R., Schofield, P., O’Donnell, M., Yusuf, S., Chong, M., Pare, G., van der Harst, P., Said, MA., Eppinga, RN., Verweij, N., Snieder, H., Christen, T., Mook-Kanamori, DO., Gustafsson, S., Lind, L., Ingelsson, E., Pazoki, R., Franco, O., Hofman, A., Uitterlinden, A., Dehghan, A., Teumer, A., Baumeister, S., Dörr, M., Lerch, MM., Völker, U., Völzke, H., Ward, J., Pell, JP., Meade, T., Christophersen, IE., Maitland-van der Zee, AH., Baranova, EV., Young, R., Ford, I., Campbell, A., Padmanabhan, S., Bots, ML., Grobbee, DE., Froguel, P., Thuillier, D., Roussel, R., Bonnefond, A., Cariou, B., Smart, M., Bao, Y., Kumari, M., Mahajan, A., Hopewell, JC., Seshadri, S., Dale, C., Costa, RPE., Ridker, PM., Chasman, DI., Reiner, AP., Ritchie, MD., Lange, LA., Cornish, AJ., Dobbins, SE., Hemminki, K., Kinnersley, B., Sanson, M., Labreche, K., Simon, M., Bondy, M., Law, P., Speedy, H., Allan, J., Li, N., Went, M., Weinhold, N., Morgan, G., Sonneveld, P., Nilsson, B., Goldschmidt, H., Sud, A., Engert, A., Hansson, M., Hemingway, H., Asselbergs, FW., Patel, RS., Keating, BJ., Sattar, N., Houlston, R., Casas, JP. and Hingorani, AD., (2019). Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9. BMC Cardiovascular Disorders. 19 (1), 240-
Dai, H., Wang, H., Restaino, M. and Bao, Y., (2018). Linear transformation models for censored data under truncation. Journal of Statistical Planning and Inference. 193, 42-54
Ferdous, MM., Bao, Y., Vinciotti, V., Liu, X. and Wilson, P., (2018). Predicting gene expression from genome wide protein binding profiles. Neurocomputing. 275, 1490-1499
Hughes, A., Smart, M., Gorrie-Stone, T., Hannon, E., Mill, J., Bao, Y., Burrage, J., Schalkwyk, L. and Kumari, M., (2018). Socioeconomic Position and DNA Methylation Age Acceleration across the Lifecourse.. American Journal of Epidemiology. 187 (11), 2346-2354
Lee, JJ., Wedow, R., Okbay, A., Kong, E., Maghzian, O., Zacher, M., Nguyen-Viet, TA., Bowers, P., Sidorenko, J., Karlsson Linnér, R., Fontana, MA., Kundu, T., Lee, C., Li, H., Li, R., Royer, R., Timshel, PN., Walters, RK., Willoughby, EA., Yengo, L., Alver, M., Bao, Y., Clark, DW., Day, FR., Furlotte, NA., Joshi, PK., Kemper, KE., Kleinman, A., Langenberg, C., Mägi, R., Trampush, JW., Verma, SS., Wu, Y., Lam, M., Zhao, JH., Zheng, Z., Boardman, JD., Campbell, H., Freese, J., Harris, KM., Hayward, C., Herd, P., Kumari, M., Lencz, T., Luan, JA., Malhotra, AK., Metspalu, A., Milani, L., Ong, KK., Perry, JRB., Porteous, DJ., Ritchie, MD., Smart, MC., Smith, BH., Tung, JY., Wareham, NJ., Wilson, JF., Beauchamp, JP., Conley, DC., Esko, T., Lehrer, SF., Magnusson, PKE., Oskarsson, S., Pers, TH., Robinson, MR., Thom, K., Watson, C., Chabris, CF., Meyer, MN., Laibson, DI., Yang, J., Johannesson, M., Koellinger, PD., Turley, P., Visscher, PM., Benjamin, DJ. and Cesarini, D., (2018). Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 50 (8), 1112-1121
Hannon, E., Gorrie-Stone, TJ., Smart, MC., Burrage, J., Hughes, A., Bao, Y., Kumari, M., Schalkwyk, LC. and Mill, J., (2018). Leveraging DNA-Methylation Quantitative-Trait Loci to Characterize the Relationship between Methylomic Variation, Gene Expression, and Complex Traits. The American Journal of Human Genetics. 103 (5), 654-665
Schmidt, AF., Swerdlow, DI., Holmes, MV., Patel, RS., Fairhurst-Hunter, Z., Lyall, DM., Hartwig, FP., Horta, BL., Hyppönen, E., Power, C., Moldovan, M., van Iperen, E., Hovingh, GK., Demuth, I., Norman, K., Steinhagen-Thiessen, E., Demuth, J., Bertram, L., Liu, T., Coassin, S., Willeit, J., Kiechl, S., Willeit, K., Mason, D., Wright, J., Morris, R., Wanamethee, G., Whincup, P., Ben-Shlomo, Y., McLachlan, S., Price, JF., Kivimaki, M., Welch, C., Sanchez-Galvez, A., Marques-Vidal, P., Nicolaides, A., Panayiotou, AG., Onland-Moret, NC., van der Schouw, YT., Matullo, G., Fiorito, G., Guarrera, S., Sacerdote, C., Wareham, NJ., Langenberg, C., Scott, R., Luan, J., Bobak, M., Malyutina, S., Pająk, A., Kubinova, R., Tamosiunas, A., Pikhart, H., Husemoen, LLN., Grarup, N., Pedersen, O., Hansen, T., Linneberg, A., Simonsen, KS., Cooper, J., Humphries, SE., Brilliant, M., Kitchner, T., Hakonarson, H., Carrell, DS., McCarty, CA., Kirchner, HL., Larson, EB., Crosslin, DR., de Andrade, M., Roden, DM., Denny, JC., Carty, C., Hancock, S., Attia, J., Holliday, E., O'Donnell, M., Yusuf, S., Chong, M., Pare, G., van der Harst, P., Said, MA., Eppinga, RN., Verweij, N., Snieder, H., Christen, T., Mook-Kanamori, DO., Gustafsson, S., Lind, L., Ingelsson, E., Pazoki, R., Franco, O., Hofman, A., Uitterlinden, A., Dehghan, A., Teumer, A., Baumeister, S., Dörr, M., Lerch, MM., Völker, U., Völzke, H., Ward, J., Pell, JP., Smith, DJ., Meade, T., Maitland-van der Zee, AH., Baranova, EV., Young, R., Ford, I., Campbell, A., Padmanabhan, S., Bots, ML., Grobbee, DE., Froguel, P., Thuillier, D., Balkau, B., Bonnefond, A., Cariou, B., Smart, M., Bao, Y., Kumari, M., Mahajan, A., Ridker, PM., Chasman, DI., Reiner, AP., Lange, LA., Ritchie, MD., Asselbergs, FW., Casas, J-P., Keating, BJ., Preiss, D., Hingorani, AD. and Sattar, N., (2017). PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study. The Lancet Diabetes and Endocrinology. 5 (2), 97-105
Prins, BP., Kuchenbaecker, KB., Bao, Y., Smart, M., Zabaneh, D., Fatemifar, G., Luan, JA., Wareham, NJ., Scott, RA., Perry, JRB., Langenberg, C., Benzeval, M., Kumari, M. and Zeggini, E., (2017). Genome-wide analysis of health-related biomarkers in the UK Household Longitudinal Study reveals novel associations. Scientific Reports. 7 (1), 11008-
Maddock, J., Zhou, A., Cavadino, A., Kuźma, E., Bao, Y., Smart, MC., Saum, KU., Schöttker, B., Engmann, J., Kjærgaard, M., Karhunen, V., Zhan, Y., Lehtimäki, T., Rovio, SP., Byberg, L., Lahti, J., Marques-Vidal, P., Sen, A., Perna, L., Schirmer, H., Singh-Manoux, A., Auvinen, J., Hutri-Kähönen, N., Kähönen, M., Kilander, L., Räikkönen, K., Melhus, H., Ingelsson, E., Guessous, I., Petrovic, KE., Schmidt, H., Schmidt, R., Vollenweider, P., Lind, L., Eriksson, JG., Michaëlsson, K., Raitakari, OT., Hägg, S., Pedersen, NL., Herzig, KH., Järvelin, MR., Veijola, J., Kivimaki, M., Jorde, R., Brenner, H., Kumari, M., Power, C., Llewellyn, DJ. and Hyppönen, E., (2017). Vitamin D and cognitive function: A Mendelian randomisation study. Scientific Reports. 7 (1), 13230-
Amin, V., Böckerman, P., Viinikainen, J., Smart, MC., Bao, Y., Kumari, M., Pitkänen, N., Lehtimäki, T., Raitakari, O. and Pehkonen, J., (2017). Gene-environment interactions between education and body mass: Evidence from the UK and Finland. Social Science and Medicine. 195, 12-16
Cumberland, PM., Bao, Y., Hysi, PG., Foster, PJ., Hammond, CJ. and Rahi, JS., (2015). Frequency and Distribution of Refractive Error in Adult Life: Methodology and Findings of the UK Biobank Study. PLOS ONE. 10 (10), e0139780-e0139780
Pan, J., Bao, Y., Dai, H. and Fang, H-B., (2014). Joint longitudinal and survival-cure models in tumour xenograft experiments. Statistics in Medicine. 33 (18), 3229-3240
Bao, Y., Vinciotti, V., Wit, E. and 't Hoen, PAC., (2014). Joint modeling of ChIP-seq data via a Markov random field model. Biostatistics. 15 (2), 296-310
Dai, H., Pan, J. and Bao, Y., (2013). Modelling Survival Events with Longitudinal Covariates Measured with Error. Communications in Statistics - Theory and Methods. 42 (21), 3819-3837
Bao, Y., Dai, H., Wang, T. and Chuang, S-K., (2013). A joint modelling approach for clustered recurrent events and death events. Journal of Applied Statistics. 40 (1), 123-140
Dai, H., Bao, Y. and Bao, M., (2013). Maximum likelihood estimate for the dispersion parameter of the negative binomial distribution. Statistics & Probability Letters. 83 (1), 21-27
Bao, Y., Vinciotti, V., Wit, E. and ’t Hoen, PAC., (2013). Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data. BMC Bioinformatics. 14 (1), 169-
Carr, MJ., Bao, Y., Pan, J., Cruickshank, K. and McNamee, R., (2012). The predictive ability of blood pressure in elderly trial patients. Journal of Hypertension. 30 (9), 1725-1733
Dai, H. and Bao, Y., (2009). An inverse probability weighted estimator for the bivariate distribution function under right censoring. Statistics & Probability Letters. 79 (16), 1789-1797
Bao, Y., He, S. and Mei, C., (2007). The Koul–Susarla–Van Ryzin and weighted least squares estimates for censored linear regression model: A comparative study. Computational Statistics & Data Analysis. 51 (12), 6488-6497
Conferences (5)
Ding, L., Yu, D., Xie, J., Guo, W., Hu, S., Liu, M., Kong, L., Dai, H., Bao, Y. and Jiang, B., (2022). Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving
Baselmans, B., Jansen, R., Ip, HF., van Dongen, J., Bao, Y., Smart, M., Kumari, M., Abdellaoui, A., van de Weijer, M., Willemsen, G., Hottenga, J., De Geus, E., Boomsma, D., Nivard, M. and Bartels, M., (2017). Multivariate analyses and genomic imaging of the wellbeing spectrum
Linner, RK., Biroli, P., Fontana, M., Hammerschlaag, A., Kong, E., Lebreton, M., Meddens, F., Nivard, M., Okbay, A., Rietveld, N., Taskesen, E., Turley, P., De Vlaming, R., Wedow, R., Abdellaoui, A., Bao, Y., Buzdugan, L., Chen, C., Eibich, P., Fontanillas, P., Joshi, P., Karhunen, V., Lill, C., Meddens, G., Muntane, G., Sanchez-roige, S., Van Rooij, F., Stein, M., Auton, A., Clark, D., Conlin, A., Dolan, C., Fischbacher, U., Groenen, P., Hasler, G., Hofman, A., Ikram, MA., Jain, S., Karlsson, R., Mackillop, J., Mannikko, M., Morcillo-suarez, C., Schmidt, K., Smart, M., Sutter, M., Thurik, R., Uitterlinden, A., White, J., de Wit, H., Bertram, L., Boomsma, D., Fehr, E., Johannesson, M., Kumari, M., Magnusson, PKE., Navarro, A., Palmer, A., Schunk, D., Svento, R., Tiemeier, H., Timmers, P., Ursano, R., Wagner, G., Wilson, J., Lee, J., Gratten, J., Laibson, D., Posthuma, D., Cesarini, D., Benjamin, D., Koellinger, P. and Beauchamp, J., (2017). Large-scale genetic study of risk tolerance and risky behaviors identifies new loci and reveals shared genetic influences
Kong, E., Auton, A., Fontanillas, P., Jain, S., Chen, C., Stein, M., Bertram, L., Eibich, P., Lill, C., Wagner, G., Hammerschlaag, A., Posthuma, D., Taskesen, E., Conlin, A., Karhunen, V., Mannikko, M., Svento, R., Nivard, M., Boomsma, D., Abdellaoui, A., Dolan, C., de Wit, H., Palmer, A., Mackillop, J., Sanchez-Roige, S., Hofman, A., Ikram, MA., Tiemeier, H., Uitterlinden, A., Van Rooij, F., Groenen, P., Thurik, R., Beauchamp, J., Benjamin, D., Biroli, P., Cesarini, D., De Vlaming, R., Fontana, M., Karlsson, R., Koellinger, P., Laibson, D., Lebreton, M., Lee, J., Meddens, F., Meddens, G., Okbay, A., Rietveld, N., Turley, P., Wedow, R., Gratten, J., Johannesson, M., Karlsson, R., Magnusson, PKE., Bao, Y., Kumari, M., Smart, M., White, J., Joshi, P., Wilson, J., Clark, D., Buzdugan, L., Fehr, E., Fischbacher, U., Hasler, G., Morcillo-Suarez, C., Muntane, G., Navarro, A., Schmidt, K., Schunk, D. and Sutter, M., (2017). Examining the shared genetic architecture of risk tolerance and related behaviors
Garfield, V., Fatemifar, G., Dale, C., Bao, Y., Smart, M., Steptoe, A., Llewellyn, C., Zabaneh, D. and Kumari, M., (2017). Assessing the potential shared genetic aetiology between body mass index (BMI) and sleep duration
Reports and Papers (2)
Dearman, A., Kumari, M. and Bao, Y., (2023). Understanding Society: pre-analytic condition impacts on measurement
Hannon, E., Gorrie-Stone, T., Smart, M., Burrage, J., Hughes, A., Bao, Y., Kumari, M., Schalkwyk, L. and Mill, J., (2018). Leveraging DNA methylation quantitative trait loci to characterize the relationship between methylomic variation, gene expression and complex traits.
Other (2)
Hu, J., Liang, W., Dai, H. and Bao, Y., Efficient Empirical Likelihood Inference for recovery rate of COVID-19 under Double-Censoring
Richmond, RC., Bao, Y., Smart, M., Gorrie-Stone, T., Schalkwyk, L., Mill, J., Davey Smith, G., Benzeval, M., Relton, C. and Kumari, M., (2018).P8 Investigating epigenetic differences in response to shift work: findings fromunderstanding society(UK longitudinal household survey). Poster presentations. 72,BMJ Publishing Group Ltd
Grants and funding
2024
Effects of the Pandemic on ECC workforce resilience
University of Essex (ESRC IAA)
2023
Invitation to Tender: Project Insight
London Metropolitan Police - Covert Policing Command
Croud Inc Ltd KTP Application
Innovate UK (formerly Technology Strategy Board)
Invitation to Tender: Project Insight
London Metropolitan Police - Covert Policing Command
Croud Inc Ltd KTP Application
Innovate UK (formerly Technology Strategy Board)
2022
Evaluation of Essex Police's Knife Crime intervention pilot
Essex Police
Pole Star Space Applications Limited KTP 22_23 R3 - KTP Application
Innovate UK (formerly Technology Strategy Board)
Pole Star Space Applications Limited KTP 22_23 R3 - KTP Application
Innovate UK (formerly Technology Strategy Board)
2018
Commercial Economic and social Impact Assessment and Analysis - Analysis of national LGBT Survey
Government Equalities Office