TreeWAS – [M16.3] Other dysplastic coxarthrosis

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
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.806	0.194	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.773	0.227	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.771	0.229	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.749	0.251	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.715	0.284	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.660	0.340	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.636	0.364	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.635	0.365	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.595	0.405	0.000
rs8050136 lBF = `48.0125` Chr`16` : `53,816,275`	0.582	0.418	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.582	0.418	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.580	0.420	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.576	0.424	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.571	0.429	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.547	0.453	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.536	0.464	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.531	0.469	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.518	0.482	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.500	0.500	0.000
rs8043757 lBF = `46.2997` Chr`16` : `53,813,450`	0.490	0.510	0.000
rs11075990 lBF = `46.9399` Chr`16` : `53,819,893`	0.486	0.514	0.000
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	0.475	0.524	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.458	0.542	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.445	0.555	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.440	0.560	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	0.440	0.560	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.439	0.561	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	0.438	0.562	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.435	0.565	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.428	0.572	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	0.423	0.577	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.422	0.578	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.405	0.595	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.387	0.613	0.000
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	0.378	0.622	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.370	0.630	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.369	0.630	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.368	0.632	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.365	0.635	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.360	0.640	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.350	0.650	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.342	0.658	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.316	0.684	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.293	0.707	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.283	0.717	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.283	0.717	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.273	0.727	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.273	0.727	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.248	0.752	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.247	0.753	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.245	0.755	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.234	0.765	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.229	0.771	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.217	0.783	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.215	0.785	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.214	0.786	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.209	0.791	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.203	0.797	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.193	0.807	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.182	0.818	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.179	0.821	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.175	0.825	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.168	0.832	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.167	0.833	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.165	0.835	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.152	0.848	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.150	0.850	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.148	0.852	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.144	0.856	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.141	0.858	0.001
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.139	0.861	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.139	0.861	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.132	0.867	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.131	0.869	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.129	0.871	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.129	0.871	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.128	0.872	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.126	0.874	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.125	0.874	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.125	0.875	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.121	0.879	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.120	0.880	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.120	0.880	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.119	0.881	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.110	0.890	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.109	0.891	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.100	0.900	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.100	0.900	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.097	0.902	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.092	0.908	0.001
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.091	0.909	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.086	0.914	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.081	0.919	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.079	0.921	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.078	0.922	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.077	0.923	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.076	0.924	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.074	0.926	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.070	0.930	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.070	0.930	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.067	0.932	0.000
rs9922619 lBF = `40.3298` Chr`16` : `53,831,771`	0.066	0.934	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.066	0.934	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.065	0.934	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.065	0.934	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.064	0.935	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.064	0.935	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.063	0.937	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.061	0.938	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.061	0.939	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.060	0.940	0.001
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.059	0.941	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.057	0.943	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.057	0.943	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.057	0.943	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.055	0.945	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.054	0.945	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.051	0.949	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.050	0.950	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.049	0.950	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.049	0.951	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.049	0.951	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.042	0.957	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.041	0.959	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.040	0.959	0.001
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.040	0.960	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.038	0.962	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.038	0.962	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.037	0.963	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.037	0.963	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.036	0.963	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.036	0.964	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.035	0.964	0.000
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	0.035	0.965	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.034	0.966	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.034	0.966	0.000
rs9930506 lBF = `40.5758` Chr`16` : `53,830,465`	0.031	0.969	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.031	0.969	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.029	0.971	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.028	0.972	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.025	0.975	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.025	0.975	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.024	0.975	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.024	0.975	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.024	0.976	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.022	0.977	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.022	0.978	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.022	0.978	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.022	0.978	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.021	0.979	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.020	0.980	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.017	0.981	0.002
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.019	0.981	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.019	0.981	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.016	0.984	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.015	0.984	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.013	0.985	0.002
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.011	0.985	0.004
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.007	0.986	0.008
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.014	0.986	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.014	0.986	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.014	0.986	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.013	0.987	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.012	0.988	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.011	0.989	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.008	0.990	0.002
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.009	0.991	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.008	0.991	0.001
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.008	0.992	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.007	0.993	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.007	0.993	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.007	0.993	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.007	0.993	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.003	0.993	0.004
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.007	0.993	0.000
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	0.994	0.006
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.005	0.995	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.004	0.995	0.001
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.005	0.995	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.005	0.995	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.005	0.995	0.000
rs55637647 lBF = `-0.092831` Chr`16` : `88,549,264`	0.005	0.995	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.004	0.996	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.004	0.996	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.003	0.996	0.001
rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.004	0.996	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.004	0.996	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.004	0.996	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.003	0.996	0.001
rs60675007 lBF = `10.4312` Chr`16` : `83,018,052`	0.000	0.997	0.003
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.003	0.997	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.003	0.997	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.002	0.997	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.002	0.997	0.001
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.002	0.998	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	0.998	0.002
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.002	0.998	0.000
rs904790 lBF = `-0.0111645` Chr`16` : `88,528,780`	0.002	0.998	0.000
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rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.000	1.000	0.000
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.000	1.000	0.000
rs764255 lBF = `-0.0145518` Chr`16` : `73,713,683`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.000	1.000	0.000
rs12597458 lBF = `-0.0663606` Chr`16` : `72,030,970`	0.000	1.000	0.000
rs9932186 lBF = `-0.0871129` Chr`16` : `60,314,656`	0.000	1.000	0.000
rs3136202 lBF = `-0.121136` Chr`16` : `14,038,174`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs416603 lBF = `0.0624644` Chr`16` : `11,364,079`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs2280381 lBF = `-0.0191041` Chr`16` : `86,018,633`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	1.000	0.000
rs4467099 lBF = `-0.06859` Chr`16` : `11,542,894`	0.000	1.000	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	1.000	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs420259 lBF = `0.101125` Chr`16` : `23,634,026`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs2047925 lBF = `0.035211` Chr`16` : `78,935,908`	0.000	1.000	0.000
rs4888873 lBF = `0.0198001` Chr`16` : `78,937,138`	0.000	1.000	0.000
rs62038064 lBF = `0.018332` Chr`16` : `78,937,752`	0.000	1.000	0.000
rs59626546 lBF = `0.0169238` Chr`16` : `78,938,589`	0.000	1.000	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	1.000	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	1.000	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	1.000	0.000
rs26868 lBF = `-0.0569542` Chr`16` : `2,249,376`	0.000	1.000	0.000
rs4784165 lBF = `-0.0671462` Chr`16` : `52,347,819`	0.000	1.000	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	1.000	0.000
rs11641231 lBF = `-0.0963028` Chr`16` : `86,381,184`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	0.000	1.000	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.000	1.000	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.000	1.000	0.000
rs55760002 lBF = `0.0377663` Chr`16` : `78,938,643`	0.000	1.000	0.000
rs3743832 lBF = `0.00130723` Chr`16` : `9,213,880`	0.000	1.000	0.000
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	1.000	0.000
rs391023 lBF = `-0.105211` Chr`16` : `85,927,814`	0.000	1.000	0.000
rs7185940 lBF = `8.01101` Chr`16` : `20,410,488`	0.000	1.000	0.000
rs9926580 lBF = `7.79339` Chr`16` : `20,410,547`	0.000	1.000	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	1.000	0.000
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	1.000	0.000
rs11866328 lBF = `0.277124` Chr`16` : `9,862,556`	0.000	1.000	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	1.000	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.000	1.000	0.000
rs1035560 lBF = `0.00137358` Chr`16` : `72,032,730`	0.000	1.000	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	1.000	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	1.000	0.000
rs71386933 lBF = `-0.0153866` Chr`16` : `71,821,800`	0.000	1.000	0.000
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.000	1.000	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	1.000	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.000	1.000	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	1.000	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	1.000	0.000
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	0.000	1.000	0.000
rs30388 lBF = `-0.0567583` Chr`16` : `79,614,116`	0.000	1.000	0.000
rs889472 lBF = `-0.080382` Chr`16` : `79,645,989`	0.000	1.000	0.000
rs8050187 lBF = `-0.0833936` Chr`16` : `79,186,886`	0.000	1.000	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	1.000	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs2639889 lBF = `-0.0253793` Chr`16` : `61,123,147`	0.000	1.000	0.000
rs7191820 lBF = `-0.0443592` Chr`16` : `79,363,814`	0.000	1.000	0.000
rs1065656 lBF = `-0.0578323` Chr`16` : `1,838,836`	0.000	1.000	0.000
rs1560104 lBF = `-0.072262` Chr`16` : `12,708,208`	0.000	1.000	0.000
rs1948632 lBF = `-0.084387` Chr`16` : `75,991,446`	0.000	1.000	0.000
rs12600304 lBF = `-0.144173` Chr`16` : `58,022,136`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.000	1.000	0.000
rs9929218 lBF = `2.615` Chr`16` : `68,820,946`	0.000	1.000	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	1.000	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	1.000	0.000
rs1397142 lBF = `0.222403` Chr`16` : `9,343,347`	0.000	1.000	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs6500744 lBF = `0.0031726` Chr`16` : `6,113,661`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs13333054 lBF = `-0.0287458` Chr`16` : `86,011,033`	0.000	1.000	0.000
rs2519974 lBF = `-0.0362553` Chr`16` : `22,889,186`	0.000	1.000	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	1.000	0.000
rs7188801 lBF = `-0.0564031` Chr`16` : `86,707,769`	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 X0099

log Bayes Factor = 16.3687

contains 3 variants

0.5140

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9506

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9416

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.9375

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9207

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8839

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8528

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8431

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.8408

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8383

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8262

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8017

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7907

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7788

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7692

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7673

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7619

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7470

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7399

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.7383

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7230

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7200

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6994

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6994

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6978

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6477

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6447

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6141

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6010

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5954

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5635

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5123

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5071

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4758

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4694

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4177

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4105

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4046

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4029

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4005

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3951

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3930

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3808

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3790

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3698

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3541

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3266

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3093

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3057

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2991

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2964

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2937

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2924

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2903

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2799

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2768

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2602

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2602

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2599

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2576

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2492

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2482

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2383

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2326

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2269

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2240

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2208

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2199

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2148

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2105

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2087

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2047

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2012

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1995

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1932

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1930

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1902

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1900

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1857

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1839

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1832

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1796

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1795

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1766

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1743

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1717

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1680

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1676

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1667

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.1644

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1640

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1605

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1558

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1551

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1464

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1428

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1390

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1389

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1354

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1231

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1175

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1151

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1126

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1115

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1086

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1068

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1061

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1035

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1018

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0922

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0908

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0899

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0881

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0877

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0871

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0859

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0852

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0848

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0836

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0791

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0761

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0747

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0716

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0688

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0638

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0611

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0606

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0602

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0580

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0578

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0558

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0529

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0513

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`)