TreeWAS – [Z94.6] Bone transplant status

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
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.666	0.333	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.665	0.335	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.655	0.345	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.639	0.361	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.634	0.366	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.610	0.389	0.000
rs5011832 lBF = `6.12001` Chr`10` : `21,782,842`	0.600	0.400	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.590	0.410	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.584	0.416	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.581	0.419	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.580	0.420	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.579	0.421	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.576	0.424	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.568	0.432	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.567	0.433	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.566	0.433	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.560	0.440	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.548	0.452	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.544	0.456	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.542	0.457	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.542	0.458	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.538	0.462	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.535	0.465	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.534	0.466	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.527	0.473	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.526	0.474	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.522	0.478	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.522	0.478	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.514	0.486	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.513	0.487	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.510	0.490	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.510	0.490	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.507	0.493	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.506	0.494	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.505	0.495	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.505	0.495	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.502	0.498	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.500	0.500	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.500	0.500	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.498	0.502	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.497	0.503	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.490	0.509	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.483	0.516	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.482	0.518	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.469	0.531	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.467	0.533	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.466	0.533	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.459	0.541	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.459	0.541	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.452	0.548	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.448	0.551	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.448	0.551	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.441	0.559	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.432	0.568	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.431	0.569	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.425	0.575	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.424	0.575	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.419	0.581	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.412	0.587	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.412	0.588	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.409	0.591	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.403	0.597	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.379	0.621	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.372	0.627	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.367	0.633	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.359	0.641	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.352	0.648	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.340	0.660	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.322	0.677	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.299	0.701	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.285	0.715	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.284	0.716	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.276	0.724	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.270	0.730	0.001
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.266	0.734	0.001
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.227	0.773	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.206	0.794	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.199	0.801	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.197	0.803	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.190	0.810	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.186	0.814	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.183	0.817	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.178	0.822	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.172	0.828	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.160	0.839	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.142	0.857	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.138	0.862	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.115	0.885	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.112	0.888	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.111	0.888	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.109	0.891	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.107	0.893	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.106	0.894	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.098	0.901	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.096	0.903	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.096	0.904	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.095	0.905	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.077	0.923	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.074	0.926	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.928	0.072
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.064	0.936	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.060	0.940	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.059	0.941	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.057	0.943	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.053	0.947	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.047	0.953	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.040	0.960	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.038	0.962	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.036	0.964	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.035	0.965	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.034	0.965	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.032	0.967	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.028	0.972	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.024	0.976	0.000
rs10882272 lBF = `-0.0550277` Chr`10` : `95,348,182`	0.000	0.976	0.024
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.023	0.977	0.000
rs494207 lBF = `27.0929` Chr`10` : `44,741,256`	0.000	0.977	0.023
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.022	0.978	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.021	0.979	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.980	0.020
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.018	0.982	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.017	0.983	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.016	0.984	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.014	0.985	0.000
rs4746822 lBF = `1.86223` Chr`10` : `70,982,941`	0.000	0.985	0.014
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.014	0.986	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.013	0.987	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.012	0.987	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.012	0.988	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.011	0.989	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.010	0.990	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.009	0.991	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.008	0.992	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.008	0.992	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.008	0.992	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.008	0.992	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.007	0.992	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.007	0.993	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.007	0.993	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.006	0.993	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.006	0.994	0.000
rs192858301 lBF = `0.00606176` Chr`10` : `24,071,006`	0.006	0.994	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.005	0.994	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.005	0.995	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.005	0.995	0.000
rs11199254 lBF = `0.011713` Chr`10` : `122,043,489`	0.000	0.995	0.005
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.004	0.996	0.000
rs12261589 lBF = `0.00340007` Chr`10` : `79,540,835`	0.004	0.996	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.004	0.996	0.000
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.996	0.003
rs1298908 lBF = `-0.00932412` Chr`10` : `82,013,134`	0.000	0.996	0.003
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.003	0.996	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.003	0.997	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.003	0.997	0.000
rs4086116 lBF = `-0.0455218` Chr`10` : `96,707,202`	0.003	0.997	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.003	0.997	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.002	0.997	0.000
rs2637266 lBF = `-0.0533416` Chr`10` : `78,331,318`	0.000	0.997	0.002
rs11198709 lBF = `0.291392` Chr`10` : `120,744,941`	0.002	0.997	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.002	0.997	0.000
rs11198708 lBF = `0.296597` Chr`10` : `120,744,910`	0.002	0.997	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.002	0.997	0.000
rs1934963 lBF = `-0.0525823` Chr`10` : `96,734,676`	0.002	0.998	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.002	0.998	0.000
rs4918798 lBF = `-0.0476884` Chr`10` : `96,750,543`	0.002	0.998	0.000
rs115882204 lBF = `0.00233729` Chr`10` : `28,590,383`	0.002	0.998	0.000
rs7088591 lBF = `0.023886` Chr`10` : `59,724,403`	0.000	0.998	0.002
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.002	0.998	0.000
rs7904655 lBF = `0.00219837` Chr`10` : `22,838,726`	0.002	0.998	0.000
rs2624681 lBF = `25.5143` Chr`10` : `44,677,301`	0.000	0.998	0.002
rs1555804 lBF = `0.00146244` Chr`10` : `23,393,066`	0.000	0.998	0.002
rs10886358 lBF = `-0.00122934` Chr`10` : `120,744,295`	0.002	0.998	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.002	0.998	0.000
rs146173241 lBF = `0.00117937` Chr`10` : `118,044,738`	0.002	0.998	0.000
rs12247397 lBF = `0.00205855` Chr`10` : `9,363,877`	0.002	0.998	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.002	0.998	0.000
rs11204213 lBF = `0.00135386` Chr`10` : `48,388,228`	0.001	0.998	0.000
rs17112190 lBF = `0.173449` Chr`10` : `98,639,846`	0.002	0.998	0.000
rs1874984 lBF = `0.366284` Chr`10` : `1,731,871`	0.002	0.998	0.000
rs1704223 lBF = `27.0702` Chr`10` : `44,677,014`	0.000	0.998	0.002
rs7902334 lBF = `0.015734` Chr`10` : `12,645,941`	0.001	0.998	0.000
rs11189494 lBF = `-0.0442838` Chr`10` : `99,913,132`	0.000	0.998	0.001
rs187797607 lBF = `0.00544303` Chr`10` : `131,201,861`	0.001	0.998	0.000
rs16926523 lBF = `0.00070521` Chr`10` : `26,294,828`	0.001	0.998	0.000
rs4748153 lBF = `0.332402` Chr`10` : `6,606,541`	0.000	0.998	0.001
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.001	0.999	0.000
rs12570188 lBF = `0.00129824` Chr`10` : `100,855,702`	0.001	0.999	0.000
rs150400940 lBF = `0.00039955` Chr`10` : `113,810,429`	0.001	0.999	0.000
rs1434432 lBF = `-0.0728027` Chr`10` : `80,396,850`	0.000	0.999	0.001
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.001	0.999	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.001	0.999	0.000
rs17497526 lBF = `-0.0175294` Chr`10` : `71,580,120`	0.001	0.999	0.000
rs1934954 lBF = `0.0713634` Chr`10` : `96,792,202`	0.001	0.999	0.000
rs4752485 lBF = `0.00541069` Chr`10` : `122,720,974`	0.000	0.999	0.001
rs1799853 lBF = `0.0196419` Chr`10` : `96,702,047`	0.001	0.999	0.000
rs2185570 lBF = `0.0165127` Chr`10` : `96,751,270`	0.001	0.999	0.000
rs1397615 lBF = `0.00025863` Chr`10` : `120,966,339`	0.001	0.999	0.000
rs80312298 lBF = `0.33808` Chr`10` : `131,481,273`	0.001	0.999	0.000
rs384627 lBF = `0.0004008` Chr`10` : `119,336,746`	0.001	0.999	0.000
rs7077164 lBF = `-0.0387532` Chr`10` : `71,583,198`	0.001	0.999	0.000
rs7909670 lBF = `-0.0581948` Chr`10` : `12,918,764`	0.000	0.999	0.001
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rs4948496 lBF = `-0.0263823` Chr`10` : `63,805,617`	0.000	0.999	0.000
rs1360573 lBF = `-0.0431414` Chr`10` : `36,885,921`	0.000	0.999	0.000
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.000	0.999	0.000
rs73635312 lBF = `17.7393` Chr`10` : `8,935,998`	0.000	0.999	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.000	0.999	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.000	0.999	0.000
rs4748741 lBF = `0.117558` Chr`10` : `21,259,144`	0.000	0.999	0.000
rs7071247 lBF = `0.0854566` Chr`10` : `105,257,786`	0.000	0.999	0.000
rs11196288 lBF = `0.0100297` Chr`10` : `115,057,443`	0.000	0.999	0.000
rs2629540 lBF = `0.00801235` Chr`10` : `126,426,148`	0.000	0.999	0.000
rs1536827 lBF = `0.00330861` Chr`10` : `135,306,158`	0.000	0.999	0.000
rs76225372 lBF = `-0.0250084` Chr`10` : `19,320,086`	0.000	0.999	0.000
rs927675 lBF = `-0.0856223` Chr`10` : `28,382,933`	0.000	0.999	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.000	0.999	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.000	0.999	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.000	0.999	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.000	0.999	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.000	0.999	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.000	0.999	0.000
rs11239177 lBF = `0.15102` Chr`10` : `45,123,379`	0.000	0.999	0.000
rs6583957 lBF = `0.148472` Chr`10` : `83,068,870`	0.000	0.999	0.000
rs10794720 lBF = `0.062675` Chr`10` : `1,156,165`	0.000	0.999	0.000
rs16923476 lBF = `0.0351103` Chr`10` : `23,858,211`	0.000	0.999	0.000
rs2484992 lBF = `0.0114568` Chr`10` : `31,512,098`	0.000	0.999	0.000
rs74122981 lBF = `0.00138068` Chr`10` : `14,790,203`	0.000	0.999	0.000
rs3851050 lBF = `-0.00107234` Chr`10` : `81,882,370`	0.000	0.999	0.000
rs11592657 lBF = `-0.0049497` Chr`10` : `128,790,443`	0.000	0.999	0.000
rs7913069 lBF = `-0.0049933` Chr`10` : `105,714,399`	0.000	0.999	0.000
rs11818629 lBF = `-0.0159596` Chr`10` : `130,137,105`	0.000	0.999	0.000
rs4747011 lBF = `-0.0171857` Chr`10` : `72,114,378`	0.000	0.999	0.000
rs16912145 lBF = `-0.0188479` Chr`10` : `60,082,668`	0.000	0.999	0.000
rs1398024 lBF = `-0.0490306` Chr`10` : `23,665,438`	0.000	0.999	0.000
rs9421748 lBF = `-0.073187` Chr`10` : `48,499,271`	0.000	0.999	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.000	0.999	0.000
rs1746048 lBF = `14.2974` Chr`10` : `44,775,824`	0.000	0.999	0.000
rs1746049 lBF = `13.6931` Chr`10` : `44,776,310`	0.000	0.999	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.000	0.999	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.000	0.999	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.000	0.999	0.000
rs704017 lBF = `3.96086` Chr`10` : `80,819,132`	0.000	0.999	0.000
rs11012167 lBF = `2.68855` Chr`10` : `20,862,401`	0.000	0.999	0.000
rs34773007 lBF = `1.15995` Chr`10` : `94,658,207`	0.000	0.999	0.000
rs10905716 lBF = `0.420621` Chr`10` : `6,114,010`	0.000	0.999	0.000
rs749141 lBF = `0.386351` Chr`10` : `130,369,490`	0.000	0.999	0.000
rs12570744 lBF = `0.0468827` Chr`10` : `6,789,463`	0.000	0.999	0.000
rs11185951 lBF = `0.0144861` Chr`10` : `82,301,536`	0.000	0.999	0.000
rs74400468 lBF = `0.0109656` Chr`10` : `43,592,809`	0.000	0.999	0.000
rs2842169 lBF = `0.00422794` Chr`10` : `128,330,713`	0.000	0.999	0.000
rs118048115 lBF = `0.00285925` Chr`10` : `122,279,476`	0.000	0.999	0.000
rs12218439 lBF = `0.00095102` Chr`10` : `70,490,106`	0.000	0.999	0.000
rs190509410 lBF = `-0.00168367` Chr`10` : `63,626,494`	0.000	0.999	0.000
rs17558301 lBF = `-0.0197576` Chr`10` : `25,880,459`	0.000	0.999	0.000
rs11006747 lBF = `-0.0788694` Chr`10` : `28,150,935`	0.000	0.999	0.000
rs703974 lBF = `10.1529` Chr`10` : `80,948,593`	0.000	0.999	0.000
rs11196181 lBF = `6.91775` Chr`10` : `114,749,018`	0.000	0.999	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.000	0.999	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.000	0.999	0.000
rs6602217 lBF = `0.586191` Chr`10` : `6,946,263`	0.000	0.999	0.000
rs4332428 lBF = `0.206544` Chr`10` : `4,965,434`	0.000	0.999	0.000
rs2999399 lBF = `0.0963459` Chr`10` : `1,630,821`	0.000	0.999	0.000
rs7070678 lBF = `0.0747435` Chr`10` : `29,812,602`	0.000	0.999	0.000
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	0.999	0.000
rs79619559 lBF = `0.0123627` Chr`10` : `2,776,698`	0.000	0.999	0.000
rs12249434 lBF = `0.00510738` Chr`10` : `118,298,706`	0.000	0.999	0.000
rs9329300 lBF = `0.00450014` Chr`10` : `2,789,594`	0.000	0.999	0.000
rs3923564 lBF = `-0.00467147` Chr`10` : `81,735,981`	0.000	0.999	0.000
rs726288 lBF = `-0.0128545` Chr`10` : `81,706,973`	0.000	0.999	0.000
rs6560749 lBF = `-0.0155448` Chr`10` : `1,676,531`	0.000	0.999	0.000
rs10788251 lBF = `-0.0162606` Chr`10` : `123,901,964`	0.000	0.999	0.000
rs10788096 lBF = `-0.0214172` Chr`10` : `122,242,293`	0.000	0.999	0.000
rs2387326 lBF = `-0.0245273` Chr`10` : `129,933,456`	0.000	0.999	0.000
rs1329650 lBF = `-0.0511447` Chr`10` : `93,348,120`	0.000	0.999	0.000
rs809367 lBF = `-0.0512793` Chr`10` : `89,741,806`	0.000	0.999	0.000
rs2380205 lBF = `-0.0584912` Chr`10` : `5,886,734`	0.000	0.999	0.000
rs4558075 lBF = `-0.0649266` Chr`10` : `6,401,625`	0.000	0.999	0.000
rs908366 lBF = `-0.0693449` Chr`10` : `126,144,839`	0.000	0.999	0.000
rs11239187 lBF = `-0.118899` Chr`10` : `45,133,277`	0.000	0.999	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.000	1.000	0.000
rs79802331 lBF = `7.89544` Chr`10` : `105,603,920`	0.000	1.000	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.000	1.000	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.000	1.000	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.000	1.000	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.000	1.000	0.000
rs3135758 lBF = `1.81643` Chr`10` : `123,277,869`	0.000	1.000	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.000	1.000	0.000
rs7085433 lBF = `0.537413` Chr`10` : `51,593,354`	0.000	1.000	0.000
rs1250550 lBF = `0.32839` Chr`10` : `81,060,317`	0.000	1.000	0.000
rs11257188 lBF = `0.324656` Chr`10` : `6,237,156`	0.000	1.000	0.000
rs728616 lBF = `0.185726` Chr`10` : `81,847,914`	0.000	1.000	0.000
rs7094310 lBF = `0.0891915` Chr`10` : `6,791,034`	0.000	1.000	0.000
rs12251514 lBF = `0.0807815` Chr`10` : `52,259,794`	0.000	1.000	0.000
rs2485376 lBF = `0.0715754` Chr`10` : `104,050,006`	0.000	1.000	0.000
rs7084416 lBF = `0.0478939` Chr`10` : `82,304,297`	0.000	1.000	0.000
rs7097610 lBF = `0.0476017` Chr`10` : `82,304,162`	0.000	1.000	0.000
rs10508517 lBF = `0.0445313` Chr`10` : `16,997,891`	0.000	1.000	0.000
rs17156371 lBF = `0.0349504` Chr`10` : `15,213,100`	0.000	1.000	0.000
rs2370759 lBF = `0.0251521` Chr`10` : `32,634,972`	0.000	1.000	0.000
rs10466033 lBF = `0.0195016` Chr`10` : `76,703,006`	0.000	1.000	0.000
rs2484990 lBF = `0.0117195` Chr`10` : `31,515,132`	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

0.6370

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4661

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0550

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7169

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7168

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7168

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7167

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7167

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7165

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7160

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7160

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7159

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7158

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7156

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7156

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7153

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7152

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7151

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7149

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7146

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7145

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7144

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7131

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7129

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7125

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7107

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7101

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7085

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7063

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7059

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7056

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7053

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7053

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7047

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7041

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7037

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7024

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7021

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7010

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7009

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6998

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6992

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6972

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6955

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6950

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6927

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6923

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6923

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6904

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6896

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6867

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6859

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6855

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6852

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6849

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6826

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6771

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6762

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6736

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6700

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6671

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6666

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6652

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6648

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6643

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6640

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6612

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6597

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6550

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6546

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6542

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6492

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6490

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6476

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6474

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6460

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6399

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6378

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6264

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6230

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6203

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6140

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6111

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5978

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5970

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5915

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5846

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5821

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5621

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5597

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5507

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5453

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5356

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5343

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5209

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5179

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5087

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5024

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5006

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4943

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4900

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4885

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4733

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4689

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4459

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4455

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4312

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3711

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3710

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3706

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3272

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3188

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3173

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3147

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3143

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3101

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3031

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2754

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2461

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2458

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2370

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2239

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2226

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2175

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2144

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1946

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1926

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1415

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1231

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1221

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1174

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1097

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0869

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0797

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`)