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
562 positions on this site are linked to Monocyte Count, out of 2,493,888 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
MARK4 · rs12459847
See detailed info → StandardCFAP184 · rs871134
See detailed info → Standardnear METRNL · rs9330536
See detailed info → Standardnear RPN1 · rs6782228
See detailed info → Standardnear GFI1 · rs150649461
See detailed info → StandardKCNN4 · rs56344893
See detailed info → Standardnear IKZF1 · rs4385425
See detailed info → Standardnear MIR7702 · rs28430334
See detailed info → Standardnear IRF8 · rs72805168
See detailed info → StandardSSH2 · rs2729450
See detailed info → Standardnear UBASH3B · rs11600178
See detailed info → StandardRP11-542M13.3 · rs12711490
See detailed info → StandardEHD4 · rs1002774
See detailed info → StandardDHFRP2 · rs2523552
See detailed info → StandardRP11-202G18.1 · rs12339013
See detailed info → StandardRPN1 · rs6789546
See detailed info → StandardCCDC26 · rs10092988
See detailed info → StandardPAN3 · rs145096717
See detailed info → StandardSSH2 · rs880749
See detailed info → StandardCCND3 · rs142449754
See detailed info →Showing 20 of 562 · page 1 of 29
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.