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 2,505,576 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
FLT3 · rs61946325
See detailed info → StandardPREX1 · rs4810864
See detailed info → StandardPLCB1 · rs978266
See detailed info → Standardnear AHDC1 · rs74063836
See detailed info → StandardLPAR1 · rs7039165
See detailed info → StandardRPRD2 · rs6685125
See detailed info → StandardMEIS1-AS3 · rs6546232
See detailed info → Standardnear INO80C · rs62100531
See detailed info → StandardKIF3B · rs6058638
See detailed info → StandardFLT3 · rs549943568
See detailed info → StandardSERPINB9 · rs318481
See detailed info → StandardMACROD1 · rs199943647
See detailed info → StandardMED12L · rs1466684
See detailed info → StandardVCAN · rs141008923
See detailed info → Standardnear LINC02217 · rs964752
See detailed info → Standardnear SMLR1 · rs71572935
See detailed info → StandardIK · rs56692296
See detailed info → StandardRASGRP4 · rs41465445
See detailed info → Standardnear B3GNT7 · rs2595507
See detailed info → StandardCASP8 · rs17860428
See detailed info →Showing 20 of 634 · page 17 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.