Browsing by Author "Zhi, Degui"

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    The International Conference on Intelligent Biology and Medicine (ICIBM) 2018: genomics with bigger data and wider applications
    (Biomed Central, 2019-02-04) Wu, Zhijin; Yan, Jingwen; Wang, Kai; Liu, Xiaoming; Guo, Yan; Zhi, Degui; Ruan, Jianhua; Zhao, Zhongming; BioHealth Informatics, School of Informatics and Computing
    The sixth International Conference on Intelligent Biology and Medicine (ICIBM) took place in Los Angeles, California, USA on June 10-12, 2018. This conference featured eleven regular scientific sessions, four tutorials, one poster session, four keynote talks, and four eminent scholar talks. The scientific program covered a wide range of topics from bench to bedside, including 3D Genome Organization, reconstruction of large scale evolution of genomes and gene functions, artificial intelligence in biological and biomedical fields, and precision medicine. Both method development and application in genomic research continued to be a main component in the conference, including studies on genetic variants, regulation of transcription, genetic-epigenetic interaction at both single cell and tissue level and artificial intelligence. Here, we write a summary of the conference and also briefly introduce the four high quality papers selected to be published in BMC Genomics that cover novel methodology development or innovative data analysis.
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    A PheWAS study of a large observational epidemiological cohort of African Americans from the REGARDS study
    (Biomed Central, 2019-01-31) Zhao, Xueyan; Geng, Xin; Srinivasasainagendra, Vinodh; Chaudhary, Ninad; Judd, Suzanne; Wadley, Virginia; Gutiérrez, Orlando M.; Wang, Henry; Lange, Ethan M.; Lange, Leslie A.; Woo, Daniel; Unverzagt, Frederick W.; Safford, Monika; Cushman, Mary; Limdi, Nita; Quarells, Rakale; Arnett, Donna K.; Irvin, Marguerite R.; Zhi, Degui; Psychiatry, School of Medicine
    BACKGROUND: Cardiovascular disease, diabetes, and kidney disease are among the leading causes of death and disability worldwide. However, knowledge of genetic determinants of those diseases in African Americans remains limited. RESULTS: In our study, associations between 4956 GWAS catalog reported SNPs and 67 traits were examined among 7726 African Americans from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study, which is focused on identifying factors that increase stroke risk. The prevalent and incident phenotypes studied included inflammation, kidney traits, cardiovascular traits and cognition. Our results validated 29 known associations, of which eight associations were reported for the first time in African Americans. CONCLUSION: Our cross-racial validation of GWAS findings provide additional evidence for the important roles of these loci in the disease process and may help identify genes especially important for future functional validation.