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g(DBSNP:rs7764257)

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Entity

Name
rs7764257
Namespace
DBSNP
Namespace Version
None
Pattern
rs[0-9]+

Appears in Networks 1

Tau Modifications v1.9.5

Tau Modifications Sections of NESTOR

In-Edges 2

g(HGNC:TTBK1) association g(DBSNP:rs7764257) View Subject | View Object

Haplotype analysis of the block formed by rs2651206, rs10807287, and rs7764257 showed that the combination of the three frequent alleles (CTA) was significantly (p = 0.02) overrepresented in the AD group (67%) compared to the control group (63%), and this result was still significant after multiple testing corrections with 10,000 permutations (p = 0.05). PubMed:20096481

Appears in Networks:

path(MESH:"Alzheimer Disease") association g(DBSNP:rs7764257) View Subject | View Object

Haplotype analysis of the block formed by rs2651206, rs10807287, and rs7764257 showed that the combination of the three frequent alleles (CTA) was significantly (p = 0.02) overrepresented in the AD group (67%) compared to the control group (63%), and this result was still significant after multiple testing corrections with 10,000 permutations (p = 0.05). PubMed:20096481

Appears in Networks:

Out-Edges 2

g(DBSNP:rs7764257) association path(MESH:"Alzheimer Disease") View Subject | View Object

Haplotype analysis of the block formed by rs2651206, rs10807287, and rs7764257 showed that the combination of the three frequent alleles (CTA) was significantly (p = 0.02) overrepresented in the AD group (67%) compared to the control group (63%), and this result was still significant after multiple testing corrections with 10,000 permutations (p = 0.05). PubMed:20096481

Appears in Networks:

g(DBSNP:rs7764257) association g(HGNC:TTBK1) View Subject | View Object

Haplotype analysis of the block formed by rs2651206, rs10807287, and rs7764257 showed that the combination of the three frequent alleles (CTA) was significantly (p = 0.02) overrepresented in the AD group (67%) compared to the control group (63%), and this result was still significant after multiple testing corrections with 10,000 permutations (p = 0.05). PubMed:20096481

Appears in Networks:

About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.