Group name: Medical Bioinformatics
Group leader: Qihua Tan
Number of group members: 5
Department & University/Hospital/Other: Dept of Clinical Research and Dept of Public Health.
Funding sources: Lundbeck, Novo Nordisk, Velux, DFF
Description of research:
Our group focuses on bioinformatics and biostatistics analysis of big genomic data collected by molecular epidemiological studies on aging and development, cancer and complex diseases.
Key publications (last 10 years):
1. Tan Q, Heijmans BT, Hjelmborg JVB, Thinggaard MS, Christensen K & Christiansen L. Handling blood cell composition in epigenetic studies on ageing. International journal of epidemiology. E-pub ahead of print.doi: 10.1093/ije/dyx083
2. Li S, Christiansen L, Christensen K, Kruse T, Redmond P, Marioni RE, Deary I J, Tan Q. Identification, replication and characterization of epigenetic remodelling in the aging genom. Scientific Reports. 2017; 7: 8183; DOI:10.1038/s41598-017-08346-7.
3. Li S, Zhu D, Duan H, Ren A, Glintborg D, Andersen M, Skov V, Thomassen M, Kruse TA & Tan Q. Differential DNA methylation patterns of polycystic ovarian syndrome in whole blood of Chinese women. Oncotarget. 2017; 8(13):20656-20666.
4. Xu C, Zhang D, Tian X, Wu Y, Pang Z, Li S, Tan Q. Genetic and Environmental Basis in Phenotype Correlation Between Physical Function and Cognition in Aging Chinese Twins. Twin Res Hum Genet. 2017;20(1):60-65.
5. Tan Q, Li W, Vandin F. Disease-concordant twins empower genetic association studies. Annals of Human Genetics. 2017; 81(1):20-26.
6. Tan Q, Thomassen M, Burton M, Mose KF, Andersen KE, Hjelmborg JVB & Kruse TA. Generalized Correlation Coefficient for Non-Parametric Analysis of Microarray Time-Course Data. Journal of Integrative Bioinformatics. 2017; 14, 2: jib-2017-0011.
7. Xu C, Zhang D, Wu Y, Tian X, Pang Z, Li S, Tan Q. A genome-wide association study of cognitive function in Chinese adult twins. Biogerontology. 2017; 18: 811–819.
8. Xu C, Tian X, Sun J, Wu Y, Zhang D, Pang Z, Li S, Petersen I, Mengel-From J, Christiansen L, Christensen K, Tan Q. Genetic and environmental influences on cardiovascular risk factors and cognitive function: a Chinese twin aging study. Geriatr Gerontol Int. 2017; doi: 10.1111/ggi.13161. E-pub ahead of print.
9. Xu C, Zhang D, Tian X, Duan H, Wu Y, Pang Z, Li S, Tan Q. Genetic and Environmental Influences on Correlations Between Hearing and Cognitive Functions in Middle and Older Chinese Twins. Twin Res Hum Genet. 2017 ;20(5): 374-379.
10. Tan Q, Heijmans BT, Hjelmborg JB, Thinggaard MS, Christensen K & Christiansen L. Epigenetic drift in the aging genome: a ten-year follow-up in an elderly twin cohort. Int J Epidemiol. 2016; 45(4): 1146-1158.
11. Svendsen AJ, Gervin K, Lyle R, Christiansen L, Kyvik K, Junker P, Nielsen C, Houen G & Tan Q. Differentially Methylated Dna regions in Monozygotic Twin Pairs Discordant for rheumatoid arthritis: an epigenome-Wide study. Front Immunol. 2016; 7:510.
12. Li S, Zhu D, Duan H & Tan Q. The epigenomics of polycystic ovarian syndrome: from pathogenesis to clinical manifestations. Gynecological Endocrinology. 2016; 32(12): 942-946.
Dept of Mathematics and Computer Science, Faculty of Natural Science, University of Southern Denmark
Qingdao Center for Disease Control and Prevention, Qingdao, China
Center of Reproductive Medicine, Linyi Municiple Hospital, Linyi, China
Qingdao University Medical School, Qingdao, China
We are strong and competitative group with expertise in computational and statistical genomics interested in development and application of bioinformatic and statistical tools and models for analysis of interpretation of big genomic data in medicine. We look for support and collaborations within research area of biomedicine and aging.
Factsheet by Qihua Tan
Group name: Medical Bioinformatics