TreeWAS – [M23.34] Other meniscus derangements (Lateral collateral ligament or Anterior horn of lateral meniscus)

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.748	0.252	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.732	0.268	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.684	0.316	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.549	0.451	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.535	0.465	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.534	0.466	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.534	0.466	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.516	0.484	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.511	0.489	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.510	0.490	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.500	0.500	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.496	0.504	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.489	0.511	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.488	0.511	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.479	0.521	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.472	0.528	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.443	0.557	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.396	0.604	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.387	0.613	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.380	0.620	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.361	0.639	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.360	0.640	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.351	0.648	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.331	0.669	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.331	0.669	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.328	0.672	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.310	0.690	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.307	0.693	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.305	0.695	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.292	0.708	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.288	0.712	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.269	0.730	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.262	0.738	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.256	0.743	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.245	0.754	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.243	0.757	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.243	0.757	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.228	0.772	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.227	0.773	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.224	0.776	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.223	0.777	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.223	0.777	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.216	0.784	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.210	0.790	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.206	0.794	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.205	0.795	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.198	0.802	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.196	0.804	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.196	0.804	0.001
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.191	0.809	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.190	0.810	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.183	0.817	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.172	0.828	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.169	0.831	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.165	0.835	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.164	0.836	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.161	0.838	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.159	0.840	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.158	0.842	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.158	0.842	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.155	0.844	0.001
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.155	0.845	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.154	0.845	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.151	0.849	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.145	0.855	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.140	0.860	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.132	0.868	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.131	0.869	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.129	0.871	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.125	0.874	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.125	0.875	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.119	0.881	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.109	0.891	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.108	0.891	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.108	0.892	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.106	0.894	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.105	0.894	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.103	0.897	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.102	0.898	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.098	0.902	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.094	0.905	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.087	0.912	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.085	0.914	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.081	0.919	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.079	0.921	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.076	0.924	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.075	0.925	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.074	0.926	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.072	0.928	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.071	0.929	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.066	0.933	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.065	0.934	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.063	0.936	0.001
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.056	0.944	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.055	0.945	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.055	0.945	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.053	0.946	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.052	0.947	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.051	0.949	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.050	0.950	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.049	0.950	0.001
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.048	0.952	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.046	0.954	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.046	0.954	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.042	0.958	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.042	0.958	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.042	0.958	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.042	0.958	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.041	0.959	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.039	0.960	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.039	0.961	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.038	0.962	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.038	0.962	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.036	0.964	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.036	0.964	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.035	0.965	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.035	0.965	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.035	0.965	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.035	0.965	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.034	0.966	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.011	0.967	0.022
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.031	0.967	0.001
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.032	0.968	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.032	0.968	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.032	0.968	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.021	0.968	0.011
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.031	0.969	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.029	0.971	0.001
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.029	0.971	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.029	0.971	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.028	0.971	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.027	0.973	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.027	0.973	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.025	0.975	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.023	0.976	0.001
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.024	0.976	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.023	0.977	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.022	0.977	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.022	0.978	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.021	0.979	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.020	0.979	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.020	0.980	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.019	0.981	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.019	0.981	0.000
rs2968482 lBF = `13.1012` Chr`16` : `88,844,433`	0.000	0.982	0.018
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.018	0.982	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.018	0.982	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.017	0.983	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.016	0.983	0.001
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.015	0.985	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.002	0.986	0.012
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.013	0.987	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.012	0.987	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.011	0.989	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.011	0.989	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.009	0.990	0.001
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.009	0.991	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.008	0.992	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.007	0.993	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.007	0.993	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.006	0.994	0.000
rs2334880 lBF = `-0.0266701` Chr`16` : `71,653,637`	0.000	0.994	0.006
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.005	0.995	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.005	0.995	0.000
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.005	0.995	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.996	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.004	0.996	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.004	0.996	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.003	0.996	0.001
rs4349147 lBF = `0.0786613` Chr`16` : `3,124,920`	0.004	0.996	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.004	0.996	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.004	0.996	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.004	0.996	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.004	0.996	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	0.997	0.003
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.003	0.997	0.000
rs8044853 lBF = `0.105468` Chr`16` : `81,457,659`	0.003	0.997	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.003	0.997	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	0.997	0.003
rs7200786 lBF = `0.171329` Chr`16` : `11,177,801`	0.000	0.997	0.003
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.003	0.997	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.000	0.997	0.003
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.000	0.997	0.003
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.002	0.998	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.998	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.002	0.998	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.998	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	0.998	0.002
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.002	0.998	0.000
rs57374020 lBF = `10.9383` Chr`16` : `88,847,523`	0.000	0.998	0.002
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.002	0.998	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.002	0.998	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.002	0.998	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.001	0.998	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.000	0.998	0.002
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.001	0.998	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	0.998	0.001
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	0.998	0.001
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.002	0.998	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	0.998	0.001
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rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	1.000	0.000
rs2733954 lBF = `-0.0724173` Chr`16` : `85,836,256`	0.000	1.000	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.000	1.000	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.000	1.000	0.000
rs8043757 lBF = `46.2997` Chr`16` : `53,813,450`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs7404095 lBF = `-0.0575876` Chr`16` : `23,864,590`	0.000	1.000	0.000
rs4467099 lBF = `-0.06859` Chr`16` : `11,542,894`	0.000	1.000	0.000
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	1.000	0.000
rs1424233 lBF = `0.110618` Chr`16` : `79,682,751`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs4782151 lBF = `-0.0212758` Chr`16` : `9,325,985`	0.000	1.000	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.000	1.000	0.000
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.000	1.000	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.000	1.000	0.000
rs9930567 lBF = `6.44001` Chr`16` : `89,628,073`	0.000	1.000	0.000
rs77303550 lBF = `2.9817` Chr`16` : `72,079,657`	0.000	1.000	0.000
rs249954 lBF = `0.435359` Chr`16` : `23,640,467`	0.000	1.000	0.000
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	0.000	1.000	0.000
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.000	1.000	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs1381102 lBF = `-0.0328893` Chr`16` : `63,955,447`	0.000	1.000	0.000
rs4074373 lBF = `-0.0513813` Chr`16` : `83,555,525`	0.000	1.000	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	1.000	0.000
rs8053728 lBF = `-0.0620872` Chr`16` : `82,485,251`	0.000	1.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs8050136 lBF = `48.0125` Chr`16` : `53,816,275`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs217181 lBF = `2.51811` Chr`16` : `72,114,002`	0.000	1.000	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.000	1.000	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	1.000	0.000
rs12691307 lBF = `0.0239576` Chr`16` : `29,939,877`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs8056064 lBF = `0.00130499` Chr`16` : `82,787,053`	0.000	1.000	0.000
rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.000	1.000	0.000
rs6500395 lBF = `-0.0176278` Chr`16` : `48,621,402`	0.000	1.000	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	1.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	1.000	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs12051443 lBF = `0.284452` Chr`16` : `71,691,329`	0.000	1.000	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.000	1.000	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	0.000	1.000	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	1.000	0.000
rs1560104 lBF = `-0.072262` Chr`16` : `12,708,208`	0.000	1.000	0.000
rs8052560 lBF = `-0.0737905` Chr`16` : `88,777,242`	0.000	1.000	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.000	1.000	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.000	1.000	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs350245 lBF = `-0.0808621` Chr`16` : `12,200,115`	0.000	1.000	0.000
rs1044873 lBF = `-0.103001` Chr`16` : `85,955,671`	0.000	1.000	0.000
rs11645781 lBF = `-0.109493` Chr`16` : `6,896,128`	0.000	1.000	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.000	1.000	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs6499766 lBF = `-0.0416222` Chr`16` : `55,604,128`	0.000	1.000	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.000	1.000	0.000
rs9937837 lBF = `-0.103372` Chr`16` : `31,298,939`	0.000	1.000	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.000	1.000	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	1.000	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs9989419 lBF = `0.114199` Chr`16` : `56,985,139`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs500492 lBF = `0.00241029` Chr`16` : `1,050,877`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.7579

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9852

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9624

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9614

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9606

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9318

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9291

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9272

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9270

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8982

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8825

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8770

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8648

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8640

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8597

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8461

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8165

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8139

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.8078

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8040

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8004

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8001

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7882

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7872

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7724

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7661

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7585

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7518

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7376

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7366

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7362

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7288

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7243

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7168

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7156

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7108

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6801

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6767

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6690

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6596

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6274

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6208

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6067

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6054

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5692

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5626

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5621

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5601

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.5558

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5525

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5481

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5306

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5251

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5241

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5163

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5150

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5058

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5048

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4905

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4889

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4844

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4171

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4145

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4128

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3758

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3720

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3578

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3508

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3449

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3433

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3294

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3265

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3165

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3086

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3024

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2976

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2965

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2961

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2950

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2944

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2918

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2761

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2596

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2579

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2469

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2396

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2386

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2351

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2312

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2302

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2217

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2196

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2169

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2156

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2149

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1940

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1936

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1814

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1749

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1728

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1724

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1689

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1650

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1627

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1617

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1612

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1550

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1514

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1399

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1330

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1288

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1190

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1179

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1120

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1020

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0991

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0978

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0877

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0856

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0827

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0824

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0819

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0738

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0706

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0699

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0690

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0678

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0647

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0641

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0632

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0629

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0611

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0607

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0556

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0546

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.0510

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0506

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)