Yearb Med Inform 2011; 20(01): 156-159
DOI: 10.1055/s-0038-1638755
Synopsis
Georg Thieme Verlag KG Stuttgart

Genome, and beyond

Findings from the Section on Bioinformatics
Y. L. Yip
1   Merck Serono International S.A., Geneva, Switzerland
,
Section Editor for the IMIA Yearbook Section on Bioinformatics › Author Affiliations
I would like to acknowledge the support of Martina Hutter and the reviewers in the selection process of the IMIA Yearbook.
Further Information

Correspondence to

Dr. Yum Lina Yip
R&D Knowledge Management
Merck Serono S.A.
9 Chemin des Mines Geneva
Switzerland
Phone: +41 22 414 3937   
Fax: +41 22 414 3059   

Publication History

Publication Date:
06 March 2018 (online)

 

Summary

Objectives

To summarize current excellent research in the field of bioinformatics, with an emphasis on those that have direct application in the medical domain.

Method

Synopsis of the articles selected for the IMIA Yearbook 2011.

Results

The selection process for this yearbook’s section on Bioinformatics results in six excellent articles highlighting the continuous progress towards a better understanding of human phenotype. Compared to the selection in Yearbook 2010, several key advancements can be noted. First, year 2010 marked the inaugural use of a complete human genome in a clinical context. This proof-of-principle study represents a large step towards personalized medicine. Second, there is a clear trend to understand diseases beyond the genome level, namely to include environmental and epigenetic information. Third, an innovative framework making use of the web to harness participant-driven genotype-phenotype information sets a new scene for conducting research in an era where social media plays an increasingly important role.

Conclusions

The current literature showed that all pieces are now present to enable a much more comprehensive understanding of human diseases and traits, beyond the highly focused genetic or genomic studies seen previously.


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  • References

  • 1 Li Y, Zhu J, Tian G, Li N, Li Q, Ye M. et al. The DNA methylome of human peripheral blood mononuclear cells. PLoS Biol 2010; 08 (11) e1000533.
  • 2 Ernst J, Kellis M. Discovery and characterization of chromatin states for systematic annotation of the human genome. Nat Biotechnol 2010; 28 (08) 817-27.
  • 3 Zhang Z, Pugh BF. High-resolution genome-wide mapping of the primary structure of chromatin. Cell 2011; 144 (02) 175-86.
  • 4 Patel CJ, Bhattacharya J, Butte AJ. An Environment-Wide Association Study (EWAS) on Type 2 Diabetes Mellitus. PLoS One 2010; 05 (05) e10746.
  • 5 Ashley EA, Butte AJ, Wheeler MT, Chen R, Klein TE, Dewey FE. et al. Clinical assessment incorporating a personal genome. Lancet 2010; 375 (9725): 1525-35.
  • 6 Ritchie MD, Denny JC, Crawford DC, Ramirez AH, Weiner JB, Pulley JM. et al. Robust Replication of Genotype-Phenotype Associations across Multiple Diseases in an Electronic Medical Record. Am J Hum Genet 2010; 86: 560-72.
  • 7 Denny JC, Ritchie MD, Basford MA, Pulley JM, Bastarache L, Brown-Gentry K. et al. PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations. Bioinformatics 2010; 26 (09) 1205-10.
  • 8 Eriksson N, Macpherson JM, Tung JY, Hon LS, Naughton B, Saxonov S. et al. Web-Based, Participant-Driven Studies Yield Novel Genetic Associations for Common Traits. PLoS Genet 2010; 06 (06) e1000993.
  • 9 Sintchenko V, Anthony S, Phan XH, Lin F, Coiera EW. A PubMed-Wide Associational Study of Infectious Diseases. PLos One 2010; 05 (03) e9535.
  • 10 Dudley JT, Pouliot Y, Chen R, Morgan AA, Butte AJ. Translational bioinformatics in the cloud: an affordable alternative. Genome Med 2010; 02: 51.
  • 11 Yip YL. Closing the genotype-phenotype gap. Findings from the Yearbook 2010 Section on Bioinformatics. Yearb Med Inform 2010; 82-5.
  • 12 Yip YL. Accelerating knowledge discovery through community data sharing and integration. Findings from the Yearbook 2009 Section on Bioinformatics. Yearb Med Inform 2009; 117-20.
  • 13 Yip YL. The promise of systems biology in clinical applications. Findings from the Yearbook 2008 Section on Bioinformatics. Yearb Med Inform 2008; 102-4.
  • 14 Fingerman IM, McDaniel L, Zhang X, Ratzat W, Hassan T, Jiang Z. et al. NCBI Epigenomics: a new public resource for exploring epigenomic data sets. Nucleic Acids Res 2011; 39 (Database issue): D908-D912.
  • 15 Sansom C. The power of many. Nature biotechnology 2011; 29 (03) 201-3.

Correspondence to

Dr. Yum Lina Yip
R&D Knowledge Management
Merck Serono S.A.
9 Chemin des Mines Geneva
Switzerland
Phone: +41 22 414 3937   
Fax: +41 22 414 3059   

  • References

  • 1 Li Y, Zhu J, Tian G, Li N, Li Q, Ye M. et al. The DNA methylome of human peripheral blood mononuclear cells. PLoS Biol 2010; 08 (11) e1000533.
  • 2 Ernst J, Kellis M. Discovery and characterization of chromatin states for systematic annotation of the human genome. Nat Biotechnol 2010; 28 (08) 817-27.
  • 3 Zhang Z, Pugh BF. High-resolution genome-wide mapping of the primary structure of chromatin. Cell 2011; 144 (02) 175-86.
  • 4 Patel CJ, Bhattacharya J, Butte AJ. An Environment-Wide Association Study (EWAS) on Type 2 Diabetes Mellitus. PLoS One 2010; 05 (05) e10746.
  • 5 Ashley EA, Butte AJ, Wheeler MT, Chen R, Klein TE, Dewey FE. et al. Clinical assessment incorporating a personal genome. Lancet 2010; 375 (9725): 1525-35.
  • 6 Ritchie MD, Denny JC, Crawford DC, Ramirez AH, Weiner JB, Pulley JM. et al. Robust Replication of Genotype-Phenotype Associations across Multiple Diseases in an Electronic Medical Record. Am J Hum Genet 2010; 86: 560-72.
  • 7 Denny JC, Ritchie MD, Basford MA, Pulley JM, Bastarache L, Brown-Gentry K. et al. PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations. Bioinformatics 2010; 26 (09) 1205-10.
  • 8 Eriksson N, Macpherson JM, Tung JY, Hon LS, Naughton B, Saxonov S. et al. Web-Based, Participant-Driven Studies Yield Novel Genetic Associations for Common Traits. PLoS Genet 2010; 06 (06) e1000993.
  • 9 Sintchenko V, Anthony S, Phan XH, Lin F, Coiera EW. A PubMed-Wide Associational Study of Infectious Diseases. PLos One 2010; 05 (03) e9535.
  • 10 Dudley JT, Pouliot Y, Chen R, Morgan AA, Butte AJ. Translational bioinformatics in the cloud: an affordable alternative. Genome Med 2010; 02: 51.
  • 11 Yip YL. Closing the genotype-phenotype gap. Findings from the Yearbook 2010 Section on Bioinformatics. Yearb Med Inform 2010; 82-5.
  • 12 Yip YL. Accelerating knowledge discovery through community data sharing and integration. Findings from the Yearbook 2009 Section on Bioinformatics. Yearb Med Inform 2009; 117-20.
  • 13 Yip YL. The promise of systems biology in clinical applications. Findings from the Yearbook 2008 Section on Bioinformatics. Yearb Med Inform 2008; 102-4.
  • 14 Fingerman IM, McDaniel L, Zhang X, Ratzat W, Hassan T, Jiang Z. et al. NCBI Epigenomics: a new public resource for exploring epigenomic data sets. Nucleic Acids Res 2011; 39 (Database issue): D908-D912.
  • 15 Sansom C. The power of many. Nature biotechnology 2011; 29 (03) 201-3.