TreeWAS – [Z50.1] Other physical therapy

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
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.960	0.040	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.909	0.091	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.845	0.155	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.831	0.169	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.776	0.224	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.733	0.267	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.731	0.269	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.719	0.281	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.677	0.322	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.668	0.332	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.655	0.345	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.550	0.450	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.546	0.454	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.496	0.504	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.456	0.544	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.452	0.548	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.436	0.564	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.402	0.598	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.397	0.602	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.380	0.620	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.371	0.629	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.360	0.640	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.359	0.641	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.355	0.645	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.328	0.672	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.298	0.702	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.271	0.729	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.270	0.730	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.258	0.742	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.258	0.742	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.235	0.765	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.219	0.780	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.205	0.795	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.203	0.797	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.189	0.811	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.831	0.169
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.167	0.833	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.163	0.837	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.155	0.844	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.152	0.848	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.150	0.850	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.141	0.858	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.128	0.872	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.125	0.875	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.119	0.881	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.108	0.892	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.106	0.894	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.097	0.902	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.096	0.904	0.001
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.083	0.917	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.075	0.924	0.001
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.074	0.926	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.073	0.927	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.072	0.928	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.067	0.933	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.067	0.933	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.066	0.934	0.001
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.065	0.935	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.064	0.936	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.046	0.954	0.000
rs1549519 lBF = `-0.0354373` Chr`17` : `53,757,787`	0.000	0.957	0.043
rs12938078 lBF = `0.273225` Chr`17` : `55,743,277`	0.000	0.957	0.043
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.038	0.962	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.032	0.968	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.030	0.969	0.001
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.029	0.971	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.026	0.974	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.026	0.974	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.025	0.975	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.023	0.977	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.023	0.977	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.978	0.022
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.020	0.979	0.000
rs11871847 lBF = `-0.078445` Chr`17` : `69,281,766`	0.000	0.981	0.019
rs4789939 lBF = `0.0620522` Chr`17` : `76,881,703`	0.000	0.981	0.019
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.017	0.983	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.017	0.983	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.015	0.985	0.000
rs216205 lBF = `0.627465` Chr`17` : `2,196,150`	0.000	0.985	0.015
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.015	0.985	0.000
rs9902403 lBF = `-0.0502294` Chr`17` : `2,827,958`	0.014	0.986	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.012	0.987	0.001
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.012	0.988	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.012	0.988	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.011	0.989	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.010	0.990	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.009	0.991	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.008	0.991	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.009	0.991	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.008	0.991	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.008	0.992	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.007	0.992	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.007	0.993	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.007	0.993	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.006	0.994	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.005	0.995	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.005	0.995	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.005	0.995	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.005	0.995	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.005	0.995	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.004	0.995	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.004	0.996	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.004	0.996	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.000	0.996	0.004
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs7216064 lBF = `0.00201617` Chr`17` : `65,898,809`	0.003	0.997	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.003	0.997	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.000	0.997	0.003
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	0.997	0.003
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	0.997	0.003
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.003	0.997	0.000
rs3110496 lBF = `1.23808` Chr`17` : `27,917,771`	0.003	0.997	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.003	0.997	0.000
rs11870068 lBF = `0.00034915` Chr`17` : `65,944,515`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.002	0.998	0.000
rs2075555 lBF = `-0.0425031` Chr`17` : `48,274,291`	0.002	0.998	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.002	0.998	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.002	0.998	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	0.998	0.002
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.002	0.998	0.000
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.002	0.998	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.002	0.998	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.002	0.998	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.002	0.998	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.002	0.998	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	0.998	0.002
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.998	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.001	0.999	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.001	0.999	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.001	0.999	0.000
rs1877644 lBF = `-0.0397122` Chr`17` : `11,342,608`	0.001	0.999	0.000
rs2293152 lBF = `-0.0506452` Chr`17` : `40,481,529`	0.001	0.999	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.001	0.999	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.001	0.999	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	0.001	0.999	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.001	0.999	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.001	0.999	0.000
rs9905704 lBF = `0.685603` Chr`17` : `56,632,543`	0.000	0.999	0.001
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.001	0.999	0.000
rs116885154 lBF = `-0.00001053` Chr`17` : `71,784,375`	0.001	0.999	0.000
rs12453524 lBF = `-0.00003894` Chr`17` : `66,575,117`	0.000	0.999	0.001
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.001	0.999	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.000	0.999	0.001
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.001	0.999	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.001	0.999	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.001	0.999	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.000	0.999	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs11078884 lBF = `-0.0335685` Chr`17` : `2,145,193`	0.001	0.999	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.001	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.000	0.999	0.000
rs5415 lBF = `0.583017` Chr`17` : `7,184,481`	0.001	0.999	0.000
rs882367 lBF = `0.00534338` Chr`17` : `59,494,574`	0.000	0.999	0.001
rs397969 lBF = `-0.0194557` Chr`17` : `19,804,247`	0.000	0.999	0.001
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.000	0.999	0.001
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.000	0.999	0.001
rs9303401 lBF = `-0.0139074` Chr`17` : `56,847,945`	0.000	0.999	0.001
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.001	0.999	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.001	0.999	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.999	0.001
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.000	0.999	0.000
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.001	0.999	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	0.999	0.001
rs623011 lBF = `-0.0326514` Chr`17` : `68,259,446`	0.000	0.999	0.001
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.000	0.999	0.000
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rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs8074700 lBF = `-0.0327177` Chr`17` : `46,749,791`	0.000	1.000	0.000
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.000	1.000	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.000	1.000	0.000
rs1994969 lBF = `-0.0480495` Chr`17` : `47,080,431`	0.000	1.000	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.000	1.000	0.000
rs3744790 lBF = `-0.0514657` Chr`17` : `76,893,135`	0.000	1.000	0.000
rs9889296 lBF = `-0.0525696` Chr`17` : `32,570,547`	0.000	1.000	0.000
rs763512 lBF = `-0.0593166` Chr`17` : `35,889,531`	0.000	1.000	0.000
rs1431318 lBF = `-0.0635643` Chr`17` : `54,192,523`	0.000	1.000	0.000
rs2315504 lBF = `-0.0661126` Chr`17` : `39,046,881`	0.000	1.000	0.000
rs7224737 lBF = `-0.0661672` Chr`17` : `40,289,364`	0.000	1.000	0.000
rs3091315 lBF = `-0.0705817` Chr`17` : `32,593,665`	0.000	1.000	0.000
rs1380181 lBF = `-0.0707018` Chr`17` : `15,193,056`	0.000	1.000	0.000
rs8067165 lBF = `-0.0740107` Chr`17` : `8,031,936`	0.000	1.000	0.000
rs164009 lBF = `-0.0778174` Chr`17` : `74,283,669`	0.000	1.000	0.000
rs6607284 lBF = `-0.0820696` Chr`17` : `36,026,335`	0.000	1.000	0.000
rs10445407 lBF = `-0.083493` Chr`17` : `79,261,809`	0.000	1.000	0.000
rs7217319 lBF = `-0.0860359` Chr`17` : `38,924`	0.000	1.000	0.000
rs314253 lBF = `-0.0961318` Chr`17` : `7,091,650`	0.000	1.000	0.000
rs2074518 lBF = `-0.106489` Chr`17` : `33,324,382`	0.000	1.000	0.000
rs4795405 lBF = `11.8075` Chr`17` : `38,088,417`	0.000	1.000	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.000	1.000	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.000	1.000	0.000
rs11656696 lBF = `5.98584` Chr`17` : `10,033,679`	0.000	1.000	0.000
rs216172 lBF = `2.7887` Chr`17` : `2,126,504`	0.000	1.000	0.000
rs2281727 lBF = `2.07378` Chr`17` : `2,117,945`	0.000	1.000	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs2945412 lBF = `0.200736` Chr`17` : `25,843,643`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs7223966 lBF = `0.0594609` Chr`17` : `61,893,398`	0.000	1.000	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	1.000	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	1.000	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	1.000	0.000
rs7219014 lBF = `0.0314524` Chr`17` : `37,624,790`	0.000	1.000	0.000
rs1870584 lBF = `0.027536` Chr`17` : `12,047,544`	0.000	1.000	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs7503953 lBF = `-0.00427826` Chr`17` : `6,141,677`	0.000	1.000	0.000
rs2716882 lBF = `-0.0045234` Chr`17` : `5,582,334`	0.000	1.000	0.000
rs6504909 lBF = `-0.00947766` Chr`17` : `52,548,125`	0.000	1.000	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	1.000	0.000
rs3204270 lBF = `-0.0223086` Chr`17` : `79,682,051`	0.000	1.000	0.000
rs1007190 lBF = `-0.0305717` Chr`17` : `43,038,209`	0.000	1.000	0.000
rs923375 lBF = `-0.0351892` Chr`17` : `3,393,068`	0.000	1.000	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.000	1.000	0.000
rs623323 lBF = `-0.0439502` Chr`17` : `700,020`	0.000	1.000	0.000
rs2659005 lBF = `-0.0444975` Chr`17` : `79,218,714`	0.000	1.000	0.000
rs758642 lBF = `-0.0545184` Chr`17` : `3,786,907`	0.000	1.000	0.000
rs8067287 lBF = `-0.0678228` Chr`17` : `16,816,656`	0.000	1.000	0.000
rs2060070 lBF = `-0.0718786` Chr`17` : `54,123,973`	0.000	1.000	0.000
rs9674544 lBF = `-0.073829` Chr`17` : `47,084,711`	0.000	1.000	0.000
rs2447097 lBF = `-0.0797207` Chr`17` : `2,278,064`	0.000	1.000	0.000
rs12453935 lBF = `-0.0882798` Chr`17` : `59,897,455`	0.000	1.000	0.000
rs2360111 lBF = `-0.113472` Chr`17` : `831,667`	0.000	1.000	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.000	1.000	0.000
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.000	1.000	0.000
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.000	1.000	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.000	1.000	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.000	1.000	0.000
rs11078928 lBF = `12.4377` Chr`17` : `38,064,469`	0.000	1.000	0.000
rs4795397 lBF = `12.2262` Chr`17` : `38,023,745`	0.000	1.000	0.000
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.000	1.000	0.000
rs10445308 lBF = `11.9627` Chr`17` : `37,938,047`	0.000	1.000	0.000
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	0.000	1.000	0.000
rs12946510 lBF = `11.0629` Chr`17` : `37,912,377`	0.000	1.000	0.000
rs907092 lBF = `10.6486` Chr`17` : `37,922,259`	0.000	1.000	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	1.000	0.000
rs2517959 lBF = `4.33643` Chr`17` : `37,846,512`	0.000	1.000	0.000
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	0.000	1.000	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.000	1.000	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	1.000	0.000
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.000	1.000	0.000
rs17610181 lBF = `2.0868` Chr`17` : `59,667,953`	0.000	1.000	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.000	1.000	0.000
rs4523957 lBF = `1.52831` Chr`17` : `2,208,899`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs2665838 lBF = `0.106499` Chr`17` : `61,966,465`	0.000	1.000	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	1.000	0.000
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.000	1.000	0.000
rs1990193 lBF = `0.0651057` Chr`17` : `68,828,089`	0.000	1.000	0.000
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.000	1.000	0.000
rs12051723 lBF = `0.048562` Chr`17` : `78,324,259`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs9916302 lBF = `0.025262` Chr`17` : `37,499,949`	0.000	1.000	0.000
rs4144743 lBF = `-0.00182064` Chr`17` : `45,323,125`	0.000	1.000	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	1.000	0.000
rs8073783 lBF = `-0.0163119` Chr`17` : `51,237,941`	0.000	1.000	0.000
rs8077889 lBF = `-0.0167242` Chr`17` : `41,878,166`	0.000	1.000	0.000
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	1.000	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.9806

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.9771

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9998

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9998

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9998

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9989

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9985

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9984

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9969

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9955

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9954

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9940

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9939

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9937

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9679

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9658

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9604

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9418

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9134

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9067

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9039

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8932

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8829

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8635

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8622

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8325

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8243

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7889

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7716

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7530

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7234

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6854

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5827

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5799

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5795

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5767

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5636

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.5311

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5254

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5168

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5143

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5004

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4875

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4645

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4550

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4366

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4356

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4280

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3546

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3195

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3149

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2605

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2397

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2310

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2196

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2191

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1792

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1495

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1386

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1219

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1215

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1049

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0813

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0600

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0565

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0561

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0560

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`)