| Title |
Assessment of Alzheimer’s disease case–control associations using family-based methods
|
|---|---|
| Published in |
neurogenetics, October 2008
|
| DOI | 10.1007/s10048-008-0151-3 |
| Pubmed ID | |
| Authors |
Brit-Maren M. Schjeide, Matthew B. McQueen, Kristina Mullin, Jason DiVito, Meghan F. Hogan, Michele Parkinson, Basavaraj Hooli, Christoph Lange, Deborah Blacker, Rudolph E. Tanzi, Lars Bertram |
| Abstract |
The genetics of Alzheimer's disease (AD) is heterogeneous and remains only ill-defined. We have recently created a freely available and continuously updated online database (AlzGene; http://www.alzgene.org ) for which we collect all published genetic association studies in AD and perform systematic meta-analyses on all polymorphisms with sufficient genotype data. In this study, we tested 27 genes (ACE, BDNF, CH25H, CHRNB2, CST3, CTSD, DAPK1, GALP, hCG2039140, IL1B, LMNA, LOC439999, LOC651924, MAPT, MTHFR, MYH13, PCK1, PGBD1, PRNP, PSEN1, SORCS1, SORL1, TF, TFAM, TNK1, GWA_14q32.13, and GWA_7p15.2), all showing significant association with AD risk in the AlzGene meta-analyses, in a large collection of family-based samples comprised of 4,180 subjects from over 1,300 pedigrees. Overall, we observe significant association with risk for AD and polymorphisms in ACE, CHRNB2, TF, and an as yet uncharacterized locus on chromosome 7p15.2 [rs1859849]. For all four loci, the association was observed with the same alleles as in the AlzGene meta-analyses. The convergence of case-control and family-based findings suggests that these loci currently represent the most promising AD gene candidates. Further fine-mapping and functional analyses are warranted to elucidate the potential biochemical mechanisms and epidemiological relevance of these genes. |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 3% |
| United States | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 65 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 29% |
| Student > Ph. D. Student | 12 | 17% |
| Student > Master | 11 | 16% |
| Professor > Associate Professor | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 26% |
| Medicine and Dentistry | 16 | 23% |
| Biochemistry, Genetics and Molecular Biology | 10 | 14% |
| Neuroscience | 7 | 10% |
| Psychology | 5 | 7% |
| Other | 3 | 4% |
| Unknown | 10 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 July 2018.
All research outputs
#7,454,427
of 22,789,566 outputs
Outputs from neurogenetics
#116
of 376 outputs
Outputs of similar age
#31,873
of 89,311 outputs
Outputs of similar age from neurogenetics
#3
of 5 outputs
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