A Genome-Wide Meta-Analysis of Six Type 1 Diabetes Cohorts Identifies Multiple Associated Loci
2011

Genome-Wide Meta-Analysis Identifies New Loci for Type 1 Diabetes

Sample size: 26934 publication Evidence: high

Author Information

Author(s): Bradfield Jonathan P., Qu Hui-Qi, Wang Kai, Zhang Haitao, Sleiman Patrick M., Kim Cecilia E., Mentch Frank D., Qiu Haijun, Glessner Joseph T., Thomas Kelly A., Frackelton Edward C., Chiavacci Rosetta M., Imielinski Marcin, Monos Dimitri S., Pandey Rahul, Bakay Marina, Grant Struan F. A., Polychronakos Constantin, Hakonarson Hakon

Primary Institution: The Center for Applied Genomics, The Children's Hospital Philadelphia

Hypothesis

Can we identify additional genetic loci associated with type 1 diabetes (T1D) through a genome-wide meta-analysis?

Conclusion

The study identified three new genetic loci associated with type 1 diabetes, adding to the existing knowledge of over 50 loci linked to the disease.

Supporting Evidence

  • The study analyzed data from 9,934 cases and 16,956 controls.
  • Three new loci were identified that reached genome-wide significance.
  • The most significantly associated SNP was found in the LMO7 gene.

Takeaway

Researchers looked at a lot of DNA from people with type 1 diabetes and found new places in our genes that might make someone more likely to get the disease.

Methodology

The study combined data from multiple cohorts and performed a meta-analysis to identify genetic associations with T1D.

Potential Biases

Potential biases may arise from the differences in ancestry between cases and controls.

Limitations

The study's findings may be influenced by population stratification and the use of different genotyping platforms.

Participant Demographics

All individuals were of Caucasian ancestry.

Statistical Information

P-Value

5.66×10−11

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pgen.1002293

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