| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_083669c912b42592a7d52f777a9a55f0
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_64db625422675348bf22ad768ec2d993
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e17239829111602518cdc53b14c6d184
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_7de02e4b28736bfb52de8bb358be203e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_da8da1be2f6c065da8490e5158496a5e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_3adf40dd381655d131cb24fbf2cf6eaf
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_3df7df5c1cfa6abac873751e59d0729a |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6883
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-40 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6809
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-20 |
| classificationIPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-40 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-68
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-20 |
| filingDate |
2009-01-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0134fc1ef35ff3e81935411e49ea3d0f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_131925d6ae4da8527575ece6741bc136
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f27df36cfbaab793feb205e073d8ea25
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d4de93b0471d240fc2b5a693594d6cc2
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_827e581019f543df6952df6e31a78f3d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3e6ee85ddd3d94783a6ae310445a10df |
| publicationDate |
2009-07-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2009089273-A1 |
| titleOfInvention |
Methods of identifying risk genes for diseases |
| abstract |
Methods for identifying risk genes for diseases include performing a genomic convergence study or analysis for a particular disease. A genomic convergence analysis of late-onset Alzheimer disease (LOAD) was performed. This analysis included a genome-wide association study (GWAS) for LOAD that involved genotyping 518 LOAD cases and 531 cognitive controls for 555,000 single nucleotide polymorphisms (SNPs) using a high- throughput genotyping platform. The data from the GWAS were passed through multiple quality-control tests, and tests for association were performed. The association results were mapped back to previous linkage results in independent data sets. These GWAS results were converged with a LOAD genome-wide expression study, consensus genetic linkage signals, a comprehensive list of previously published candidate genes, and two independent GWAS as confirmation datasets. Twenty- five genes had significant results in the GWAS and SAGE studies, and were under consensus linkage signals. Of these, 10 were confirmed in both independent GWAS. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110349623-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112595675-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112595675-A |
| priorityDate |
2008-01-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |