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
268 positions on this site are linked to Monocyte Count, out of 2,512,507 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
KCNN4 · rs62116961
See detailed info → Standardnear C3 · rs413141
See detailed info → StandardIRF8 · rs147968
See detailed info → Standardnear MARK3 · rs8006994
See detailed info → StandardTNFSF13B · rs374039502
See detailed info → Standardnear UBASH3B · rs1945392
See detailed info → Standardnear RRP12 · rs11189154
See detailed info → Standardnear OR2K2 · rs112219838
See detailed info → StandardNKX2-3 · rs11190141
See detailed info → StandardCX3CR1 · rs3732378
See detailed info → StandardACOXL · rs150449635
See detailed info → StandardPIK3CD · rs6540991
See detailed info → Standardnear IKZF1 · rs10276619
See detailed info → StandardARVCF · rs2238782
See detailed info → StandardPCLAF · rs7165405
See detailed info → StandardCD300LF · rs1037171
See detailed info → StandardEMC8 · rs74430521
See detailed info → StandardIL17RA · rs41409548
See detailed info → StandardRRP12 · rs11189181
See detailed info → StandardZNF366 · rs2338021
See detailed info →Showing 20 of 268 · page 4 of 14
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.