4.7 Article

The membrane-spanning 4-domains, subfamily A (MS4A) gene cluster contains a common variant associated with Alzheimer's disease

期刊

GENOME MEDICINE
卷 3, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/gm249

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资金

  1. Fundacion Alzheimur (Murcia)
  2. Ministerio de Educacion y Ciencia (Gobierno de Espana)
  3. Corporacion Tecnologica de Andalucia
  4. Agencia IDEA (Consejeria de Innovacion, Junta de Andalucia)
  5. CIBER de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM)
  6. Division of Neuroscience, NIA
  7. Genetic Consortium for Late Onset Alzheimer's Disease includes a GWAS as part of the Division of Neuroscience, NIA
  8. Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health) [U01 AG024904]
  9. National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering
  10. NIH [P30 AG010129, K01 AG030514]
  11. Dana Foundation
  12. NATIONAL INSTITUTE ON AGING [U19AG010483] Funding Source: NIH RePORTER

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Background: In order to identify novel loci associated with Alzheimer's disease (AD), we conducted a genome-wide association study (GWAS) in the Spanish population. Methods: We genotyped 1,128 individuals using the Affymetrix Nsp I 250K chip. A sample of 327 sporadic AD patients and 801 controls with unknown cognitive status from the Spanish general population were included in our initial study. To increase the power of the study, we combined our results with those of four other public GWAS datasets by applying identical quality control filters and the same imputation methods, which were then analyzed with a global meta-GWAS. A replication sample with 2,200 sporadic AD patients and 2,301 controls was genotyped to confirm our GWAS findings. Results: Meta-analysis of our data and independent replication datasets allowed us to confirm a novel genomewide significant association of AD with the membrane-spanning 4-domains subfamily A (MS4A) gene cluster (rs1562990, P = 4.40E-11, odds ratio = 0.88, 95% confidence interval 0.85 to 0.91, n = 10,181 cases and 14,341 controls). Conclusions: Our results underscore the importance of international efforts combining GWAS datasets to isolate genetic loci for complex diseases.

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