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Shulman JM, Chipendo P, Chibnik LB, Aubin C, Tran D, Keenan BT, Kramer PL, Schneider JA, Bennett DA, Feany MB, De Jager PL. Functional screening of Alzheimer pathology genome-wide association signals in Drosophila. Am J Hum Genet. 2011 Feb 11;88(2):232-8. PubMed.
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Institute Pasteur de Lille, INSERM
In a report published in the American Journal of Human Genetics, Shulman and collaborators report a two-stage strategy to characterize new genetic determinants of Alzheimer’s disease. They first performed a genomewide association study (GWAS) in an autopsy cohort including 227 participants (91 AD cases, 50 MCI cases, and 86 controls). They selected their best hits for further analyses (p value less than 10-3).
At this stage, they coupled this association study with a functional screening, with the postulate that convergence of both association and functional data might allow to restrict false-positive results, the main problem inherent to the genetic analyses, and to finally pick up relevant genes in the AD process.
To perform this functional screening, they used a Drosophila model on the basis of in vivo interactions with the neurotoxicity of tau. They reported that SLC2A14 is a promising gene of interest, associated with AD risk. The Drosophila ortholog was associated with tau toxicity.
The number of cases and controls analyzed in the GWAS step is limited, and replication/validation works are clearly needed. Unfortunately, this SNP was not associated with AD risk in our French GWAS (p = 0.76). However, the design of the two-stage strategy is clever and appears to be very powerful. The main advantages are as follows:
GWAS often define loci of interest encompassing several genes, and it can be difficult to determine which one is causal using only both genetic and literature bases. The systematic screening of all the genes within a locus can thus be a good option to finally pick up the relevant one.
However, it is worth noting that this strategy also presents important limitations to keep in mind:
In conclusion, we think that this two-stage strategy will be particularly relevant when associated with a powerful GWAS. In this context, the recent announcement of the I-GAP consortium opens new perspectives with the possibility to screen for dozen of GWAS-defined genes/loci showing association reaching genomewide significant or suggestive p values.
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