Links from this page to related variants, conditions, drugs and topics are not included for automated readers. Those connections are the Gene Knowledge Graph and are licensed as data: https://www.mygenelog.com/license
634 positions on this site are linked to Monocyte Count, out of 2,505,145 published in total. Each was published only after passing the same quality gate; being on this list is an association, not a diagnosis.
Strength of the evidence: all 2+ 3+ 4 Connections: all only those linked to a condition, drug or sense
near IKZF1 · rs145532105
See detailed info → Standardnear CDC7 · rs12717798
See detailed info → StandardLINC01989 · rs9911144
See detailed info → StandardIL17RA · rs879575
See detailed info → StandardFLT3 · rs146983744
See detailed info → Standardnear MIR7702 · rs55810007
See detailed info → Standardnear ZNF483 · rs200969146
See detailed info → StandardVWA7 · rs9461721
See detailed info → Standardnear LINC00399 · rs9521344
See detailed info → StandardITGA4 · rs155147
See detailed info → StandardSLC2A1 · rs17387886
See detailed info → Standardnear RPL23AP87 · rs9908212
See detailed info → StandardRASA2 · rs6800122
See detailed info → StandardPAN3 · rs76806311
See detailed info → StandardSCD5 · rs6832625
See detailed info → Standardnear MIR4289 · rs9410380
See detailed info → StandardMICB · rs2507971
See detailed info → StandardETS1 · rs34658647
See detailed info → StandardNFKB1-AS1 · rs141936164
See detailed info → Standardnear SPMIP3 · rs61165644
See detailed info →Showing 20 of 634 · page 9 of 32
One specific position in the genome (an rsID), explained in plain language with what published research has found it linked to, and how strong that link actually is.
The public GWAS Catalog, checked every twenty minutes, plus variants added manually after research review. Every one passes the same quality gate before publishing.
No. Listing reflects an association from published research, not a diagnosis or a cause. Most common variants shift probability modestly rather than determining an outcome.
Yes — the search box above matches gene symbols and rsIDs as well as trait names.