On 2014 Aug 07, Raha Pazoki commented:

The study by Lambert and co-workers is an interesting piece of work on a sample consisting of more than 50,000 cases and controls. The authors performed a multi-stage genome wide association study with meta-analysis of the results and identified several new loci for Alzheimer disease. The final loci were searched for eQTL effects in online eQTL database from Pritchard laboratory which provides eQTLs from different resources.

While this is a comprehensive approach to identify functional genetic loci, there are still other eQTL databases available online that may provide more information about the functionality of these loci. For example, a quick search in the GTEx online eQTL database (GTEx Consortium., 2013) shows that rs1476679 (identified in the present work of Lambert and co-workers) is additionally an eQTL for the gene PVRIG2P with effect size of 0.34 and P<2× 10^-6. PVRIG2P has not been previously implicated in Alzheimer’s disease but could be a target for further research along with other findings of Lambert and co-workers.

On 2013 Oct 31, Ben Busby commented:

Congratulations to these authors for acquiring a staggering amount of data, the production of which was funded by various government and non-profit sources; this made for some interesting findings that may be directly relevant in the clinic. It is my sincere hope that the researchers will go even farther in investigating subsets of this data, and in doing so, identify genomic subgroups of patients with the Alzheimer's phenotype. I would recommend this paper to anyone interested in using patient-sequence datasets to investigate disease.

On 2013 Oct 31, Ben Busby commented:

Congratulations to these authors for acquiring a staggering amount of data, the production of which was funded by various government and non-profit sources; this made for some interesting findings that may be directly relevant in the clinic. It is my sincere hope that the researchers will go even farther in investigating subsets of this data, and in doing so, identify genomic subgroups of patients with the Alzheimer's phenotype. I would recommend this paper to anyone interested in using patient-sequence datasets to investigate disease.

On 2014 Aug 07, Raha Pazoki commented:

The study by Lambert and co-workers is an interesting piece of work on a sample consisting of more than 50,000 cases and controls. The authors performed a multi-stage genome wide association study with meta-analysis of the results and identified several new loci for Alzheimer disease. The final loci were searched for eQTL effects in online eQTL database from Pritchard laboratory which provides eQTLs from different resources.

While this is a comprehensive approach to identify functional genetic loci, there are still other eQTL databases available online that may provide more information about the functionality of these loci. For example, a quick search in the GTEx online eQTL database (GTEx Consortium., 2013) shows that rs1476679 (identified in the present work of Lambert and co-workers) is additionally an eQTL for the gene PVRIG2P with effect size of 0.34 and P<2× 10^-6. PVRIG2P has not been previously implicated in Alzheimer’s disease but could be a target for further research along with other findings of Lambert and co-workers.