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
653 positions on this site are linked to Monocyte Count, out of 2,508,301 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
SMG6 · rs9915112
See detailed info → Standardnear ITGAL · rs7196129
See detailed info → StandardCMKLR1 · rs12312487
See detailed info → StandardETS1 · rs12575164
See detailed info → Standardnear SESN3 · rs75963851
See detailed info → StandardMS4A6E · rs6591578
See detailed info → Standardnear CXCL12 · rs17482472
See detailed info → Standardnear PIP5KL1 · rs4836591
See detailed info → Standardnear NEK6 · rs7863470
See detailed info → StandardVLDLR · rs2219143
See detailed info → StandardCDX2 · rs1805106
See detailed info → StandardIKZF1 · rs78697948
See detailed info → StandardGPR116 · rs2012011
See detailed info → StandardCCR3 · rs13325613
See detailed info → StandardAC074391.1 · rs13417564
See detailed info → StandardGPR35 · rs34236350
See detailed info → StandardITGA4 · rs2124440
See detailed info → StandardFLNB · rs11130612
See detailed info → StandardEBF1 · rs31196
See detailed info → Standardnear MN1 · rs11705555
See detailed info →Showing 20 of 653 · page 13 of 33
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.