Gene expression profiling of lymphoblastoid cell lines from monozygotic twins discordant in severity of autism reveals differential regulation of neurologically relevant genes
2006

Gene Expression Differences in Twins with Autism

Sample size: 5 publication 10 minutes Evidence: moderate

Author Information

Author(s): Hu Valerie W, Frank Bryan C, Heine Shannon, Lee Norman H, Quackenbush John

Primary Institution: The George Washington University Medical Center

Hypothesis

Can gene expression profiling in lymphoblastoid cell lines from monozygotic twins discordant for autism severity reveal potential biomarkers for the disorder?

Conclusion

The study found that lymphoblastoid cell lines from twins with differing autism severity show significant differences in gene expression, suggesting potential biomarkers for autism.

Supporting Evidence

  • Gene expression profiling revealed 1200 significant genes with an FDR of 26%.
  • Approximately half of the most differentially expressed genes map to chromosomal regions associated with autism.
  • Quantitative RT-PCR confirmed differential expression of several neurologically relevant genes.
  • Network analysis showed that many differentially expressed genes are involved in neurological function.

Takeaway

Scientists looked at the genes in blood cells from twins who have different levels of autism and found that some genes are turned on or off differently, which might help us understand autism better.

Methodology

DNA microarray analysis was used to compare gene expression in lymphoblastoid cell lines from monozygotic twins with differing autism severity.

Potential Biases

Potential bias may arise from the reliance on behavioral assessments for autism diagnosis.

Limitations

The study is limited by the small sample size and the focus on only monozygotic twins, which may not represent the broader autism population.

Participant Demographics

Participants included monozygotic twins, primarily Caucasian males aged 6 to 16.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1471-2164-7-118

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