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 2,508,253 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
CCR2 · rs1799864
See detailed info → Standardnear PCNPP2 · rs28450540
See detailed info → StandardHLA-DPB1 · rs1042133
See detailed info → Standardnear GSTM5P1 · rs1584063
See detailed info → StandardANKRD55 · rs28722705
See detailed info → Standardnear U3 · rs186272630
See detailed info → Standardnear TNFSF13B · rs150861794
See detailed info → Standardnear RPN1 · rs116026278
See detailed info → Standardnear RPN1 · rs112097551
See detailed info → StandardUQCRC2P1 · rs140058837
See detailed info → StandardAPOBEC3H · rs60093835
See detailed info → StandardNRIP1 · rs7280064
See detailed info → Standardnear MAFB · rs4812447
See detailed info → StandardSIRPB1 · rs34600126
See detailed info → StandardBBC3 · rs45474992
See detailed info → StandardERF · rs35493131
See detailed info → StandardLYL1 · rs1003393
See detailed info → Standardnear CLEC4M · rs571497
See detailed info → StandardMAPK4 · rs8084255
See detailed info → StandardMED24 · rs2302774
See detailed info →Showing 20 of 653 · page 12 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.