Monday, September 30, 2013

Uncovering rheumatoid arthritis mechanisms through genome wide association studies (GWAS)


The completion of the Human Genome Project, sequencing of DNA and gene mapping, in 2003 laid the foundation for in-depth gene specific disease research. Most recently, genome wide association studies (GWAS) are being completed to uncover variations within individual genes that may contribute to numerous diseases. GWAS scan markers through genomes of many individuals to discover genetic variations that may be associated with a particular disease (NIH 2013). One disease that has been widely studied through GWAS analysis is rheumatoid arthritis (RA), an autoimmune disease that causes severe joint inflammation, deformity, and chronic pain.
My mother and sister both suffer from rheumatoid arthritis. It is likely that I will also one day suffer from this autoimmune disease, as there are genetic origins. This made me very curious to discover what these underlying genetic mechanisms are. One recent genome wide association study meta-analysis, or compilation of current research, was completed to examine functional mechanisms that may underlie associations for RA. In this study, researchers were able to examine publicly available data to discover 8 single nucleotide variations on 5 genes that are related to immune response through function (Deng 2013). The ability to survey publicly available data to uncover the functional mechanisms and locations of such disease associations can be a powerful tool to allow many more people to access and analyze this GWAS data. Additionally, being able to narrow down the specific locus, or location on a chromosome, where a mutation is occurring will allow for better screening and potentially future treatment/prevention of some diseases.
Another GWAS analysis used data regarding a specific locus, CCR6, related to rheumatoid arthritis in Japan. The researchers were able to use this data to create a study specifically regarding this gene locus and screen study subjects for a specific antibody and DNA sequence variation in CCR6 locus to determine risk for development of rheumatoid arthritis. The study found that a variation in the CCR6 gene locus was a risk factor for developing RA in females but conversely was a protective factor against disease development in males (Teng 2012). The gender differences observed are not necessarily triggered by one particular factor, but it was suggested that it could possibly be related to individual environment. As environmental influence, nature vs. nurture, is discussed in numerous fields from psychology to biochemistry, these associations have broad impacts.
Genome wide association studies are the next step in identifying specific individual genetic variations and disease implications. With all the information that is available through the Internet, it can become concerning to think about all of the implications of a single change within your entire genome causing a disease. One thing to remember is that although we cannot consciously control if our DNA is replicating correctly or not, we can control many aspects of our health. Decreasing stress, eating healthily, and exercising regularly are all things each person can control and will not only make you feel better, but can also potentially prevent negative modifications within your genome.



Deng F, Lei S, Zhu H, Zhang Y, Zhang Z. 2013. Integrative analyses for functional mechanisms underlying associations for rheumatoid arthritis. J Rheumatol. 40;1063-1068.

National Institutes of Health (NIH). 2013. Genome Wide Association Studies. Available From: http://www.genome.gov/20019523

Teng E, Leong K, Li H, Thong B, Koh E, Loi P, Zhao Y, Tan E. 2012. Analysis of a genome-wide association study-linked locus (CCR6) in Asian rheumatoid arthritis. DNA and Cell Biology. 32(4):607-610. 

3 comments:

  1. This comment has been removed by the author.

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  2. Sorry for the previous delete, but had to fix my references!

    This article stood out to me, because just last night I was thinking to myself how amazing it would be to wake up one day this week and not have any pain. Having been diagnosed with arthritis last year at 21 years old, I know first hand how important discoveries like this can be. These discoveries lead to better treatment options, offering pain-free days to patients with arthritis, which I can say definitely make a difference in the quality of life.

    In this post, I know you are focusing on variations within a specific gene. However, I think it is important to also discuss gene-gene interactions. Many people have limited knowledge in genetics, so referring to nucleotide variations within specific genes may confuse some people into thinking that only those specific genetic variations contribute to RA. You did mention that environmental influences and everyday activities contribute to RA, but coming from a family with no scientific background, I feel it important to mention gene-gene interactions.

    Numerous studies have found that gene-gene interactions increase susceptibility to RA. A study performed by Huang et al. found 14 significant interactions among 12 genes: PADI4, FCGR3, TNFRSF1B, ITGAV, BTLA, SLC22A4, IL3, VEGF, TNF, NFKBIL1, TRAF1-C5 and MIF (1). Further research increased the interaction networks to 23 significant interactions, with nine new interactions and five new genes. Interestingly, since HLA-DRB1 alleles are found to be associated with RA, Boudjema et al. characterized the HLA-DMA and DMB genes (2). They found that, on their own, the HLA-DM genes do not influence RA susceptibility. Combined, these studies point to the importance of looking at gene-gene interaction in understanding a disease. While it is imperative to find nucleotide variations within specific genes, as Kelsey wonderfully explains, it is also important to look at how gene-gene interactions can affect disease.

    [1] Boudjema A, Petit-Teixeira E, Cornelis F, Benhamamouch S. HLA-DMA and DMB genes in rheumatoid arthritis. Tissue Antigens 79(3):155-156, 2012.

    [2] Huang CH, Cong L, Xie J, Qioa B, Lo SH, Zheng T. Rheumatoid arthritis-associated gene-gene interaction network for rheumatoid arthritis candidate genes. BMC Proc. 3(Suppl 7): S75, 2009.

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  3. Jamie,
    That is definitely a helpful clarification! It can be quite technical to begin explaining genetics to an audience with a wide variety of scientific knowledge. So many things, such as gene-gene interactions, play important roles in how genes are expressed and sometimes modified which can potentially cause disease. This is essentially what the field of epigenetics is examining when looking at how modifications outside of DNA sequence changes occur to cause phenotypic (expressional) changes. It is incredible the number of ways that disease can occur but also the ways that our bodies have developed mechanisms to counteract these possible manifestations!

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