TreeWAS – [Z52.4] Kidney donor

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
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.732	0.268	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.653	0.347	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.600	0.400	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.599	0.401	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.591	0.409	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.581	0.419	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.577	0.423	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.573	0.427	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.564	0.436	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.560	0.440	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.550	0.450	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.550	0.450	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.539	0.461	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.534	0.466	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.533	0.467	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.530	0.470	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.515	0.484	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.514	0.486	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.514	0.486	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.513	0.487	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.511	0.489	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.511	0.489	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.507	0.493	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.506	0.493	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.504	0.496	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.502	0.498	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.498	0.501	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.496	0.504	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.494	0.506	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.491	0.509	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.481	0.519	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.479	0.521	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.479	0.521	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.475	0.525	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.473	0.527	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.471	0.528	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.466	0.533	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.463	0.537	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.461	0.539	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.448	0.551	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.442	0.558	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.441	0.558	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.439	0.561	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.438	0.561	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.436	0.564	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.433	0.567	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.429	0.571	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.425	0.575	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.415	0.584	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.402	0.597	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.400	0.599	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.397	0.602	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.394	0.606	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.390	0.610	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.390	0.610	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.382	0.618	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.380	0.620	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.359	0.641	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.345	0.654	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.337	0.662	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.334	0.666	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.332	0.668	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.327	0.672	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.319	0.681	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.315	0.685	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.312	0.688	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.310	0.690	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.308	0.692	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.306	0.693	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.300	0.699	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.297	0.702	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.271	0.728	0.001
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.268	0.732	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.264	0.736	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.259	0.741	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.251	0.749	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.246	0.754	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.241	0.759	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.227	0.773	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.219	0.781	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.216	0.784	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.202	0.798	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.199	0.800	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.193	0.806	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.189	0.811	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.175	0.825	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.173	0.827	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.164	0.836	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.150	0.850	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.149	0.851	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.149	0.851	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.148	0.852	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.146	0.854	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.145	0.855	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.145	0.855	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.143	0.857	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.141	0.859	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.138	0.862	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.138	0.862	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.132	0.868	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.126	0.873	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.121	0.879	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.120	0.880	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.118	0.882	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.118	0.882	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.115	0.885	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.108	0.892	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.106	0.894	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.106	0.894	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.100	0.900	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.097	0.903	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.091	0.909	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.088	0.912	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.084	0.916	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.084	0.916	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.083	0.917	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.082	0.918	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.081	0.919	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.078	0.922	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.074	0.925	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.074	0.925	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.071	0.928	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.069	0.930	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.068	0.932	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.068	0.932	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.065	0.934	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.063	0.936	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.937	0.063
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.061	0.939	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.060	0.939	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.058	0.942	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.057	0.943	0.000
rs3793891 lBF = `6.15257` Chr`10` : `112,264,964`	0.057	0.943	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.945	0.055
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.052	0.948	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.049	0.950	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.047	0.953	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.047	0.953	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.046	0.953	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.046	0.954	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.045	0.954	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.038	0.962	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.036	0.963	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.035	0.965	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.035	0.965	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.027	0.966	0.007
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.033	0.966	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.032	0.968	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.030	0.970	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.029	0.970	0.001
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.027	0.972	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.027	0.973	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.027	0.973	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.025	0.975	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.022	0.977	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.022	0.978	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.021	0.978	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.021	0.979	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.020	0.980	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.019	0.980	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.019	0.981	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.019	0.981	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.019	0.981	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.017	0.983	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.017	0.983	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.017	0.983	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.014	0.986	0.000
rs12358815 lBF = `-0.00646593` Chr`10` : `83,668,325`	0.013	0.987	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.013	0.987	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.012	0.988	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.012	0.988	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.012	0.988	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.012	0.988	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.011	0.989	0.000
rs7902334 lBF = `0.015734` Chr`10` : `12,645,941`	0.011	0.989	0.000
rs17101187 lBF = `8.69271` Chr`10` : `122,714,701`	0.011	0.989	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.010	0.989	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.010	0.990	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.010	0.990	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.009	0.990	0.000
rs12218391 lBF = `-0.0192942` Chr`10` : `20,302,572`	0.009	0.991	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.009	0.991	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.008	0.991	0.000
rs57582212 lBF = `5.11979` Chr`10` : `6,079,035`	0.008	0.992	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.008	0.992	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.008	0.992	0.000
rs11005694 lBF = `-0.00711543` Chr`10` : `58,974,808`	0.008	0.992	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.007	0.992	0.000
rs2482109 lBF = `0.040235` Chr`10` : `18,525,170`	0.000	0.993	0.007
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.007	0.993	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.006	0.993	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.006	0.993	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.006	0.994	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.006	0.994	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.006	0.994	0.000
rs10994607 lBF = `0.222887` Chr`10` : `62,760,742`	0.006	0.994	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.005	0.994	0.000
rs192858301 lBF = `0.00606176` Chr`10` : `24,071,006`	0.005	0.994	0.000
rs10788309 lBF = `-0.0682067` Chr`10` : `85,790,476`	0.006	0.994	0.000
rs74157220 lBF = `0.126331` Chr`10` : `114,877,867`	0.005	0.995	0.000
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.995	0.005
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.005	0.995	0.000
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rs7070038 lBF = `-0.00056207` Chr`10` : `59,724,388`	0.000	0.999	0.000
rs1934951 lBF = `-0.00302767` Chr`10` : `96,798,548`	0.001	0.999	0.000
rs116940348 lBF = `13.3076` Chr`10` : `22,581,581`	0.001	0.999	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.001	0.999	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.001	0.999	0.000
rs190780914 lBF = `0.0153555` Chr`10` : `84,949,895`	0.000	0.999	0.000
rs2484992 lBF = `0.0114568` Chr`10` : `31,512,098`	0.000	0.999	0.001
rs3781426 lBF = `-0.0909664` Chr`10` : `126,703,349`	0.001	0.999	0.000
rs7924176 lBF = `-0.103559` Chr`10` : `76,295,789`	0.000	0.999	0.001
rs1326934 lBF = `-0.0152103` Chr`10` : `97,284,081`	0.000	0.999	0.001
rs10788096 lBF = `-0.0214172` Chr`10` : `122,242,293`	0.000	0.999	0.001
rs4143094 lBF = `-0.0347069` Chr`10` : `8,089,136`	0.001	0.999	0.000
rs1937332 lBF = `-0.0488787` Chr`10` : `90,826,779`	0.000	0.999	0.001
rs11250714 lBF = `-0.076509` Chr`10` : `1,702,581`	0.000	0.999	0.001
rs2663052 lBF = `-0.109245` Chr`10` : `50,069,395`	0.000	0.999	0.001
rs7090530 lBF = `13.9535` Chr`10` : `6,110,875`	0.001	0.999	0.000
rs17109512 lBF = `-0.00785217` Chr`10` : `100,127,551`	0.001	0.999	0.000
rs2764980 lBF = `-0.0873197` Chr`10` : `3,284,007`	0.001	0.999	0.000
rs7911264 lBF = `7.26448` Chr`10` : `94,436,851`	0.001	0.999	0.000
rs10998035 lBF = `0.487248` Chr`10` : `70,014,230`	0.000	0.999	0.001
rs11819199 lBF = `0.162575` Chr`10` : `20,865,157`	0.000	0.999	0.001
rs10786662 lBF = `0.0327981` Chr`10` : `103,989,812`	0.000	0.999	0.001
rs10824026 lBF = `0.0068493` Chr`10` : `75,421,208`	0.001	0.999	0.000
rs7920888 lBF = `-0.0517848` Chr`10` : `90,818,377`	0.000	0.999	0.001
rs4345897 lBF = `-0.0947357` Chr`10` : `100,147,060`	0.000	0.999	0.001
rs501120 lBF = `14.2539` Chr`10` : `44,753,867`	0.001	0.999	0.000
rs703965 lBF = `10.3829` Chr`10` : `80,955,067`	0.000	0.999	0.001
rs12570824 lBF = `7.11255` Chr`10` : `65,730,654`	0.001	0.999	0.000
rs786870 lBF = `0.0320607` Chr`10` : `26,774,694`	0.000	0.999	0.001
rs3135753 lBF = `0.0103539` Chr`10` : `123,280,658`	0.001	0.999	0.000
rs10857712 lBF = `-0.0258088` Chr`10` : `135,225,666`	0.000	0.999	0.001
rs3824789 lBF = `-0.0652544` Chr`10` : `98,800,099`	0.001	0.999	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.000	0.999	0.000
rs2274351 lBF = `1.33227` Chr`10` : `104,264,107`	0.000	0.999	0.001
rs12722556 lBF = `0.799539` Chr`10` : `6,070,539`	0.001	0.999	0.000
rs768606 lBF = `0.0303909` Chr`10` : `9,277,525`	0.000	0.999	0.000
rs12414342 lBF = `0.0290144` Chr`10` : `133,289,905`	0.000	0.999	0.001
rs7893600 lBF = `-0.00035735` Chr`10` : `23,434,744`	0.000	0.999	0.001
rs10740455 lBF = `-0.0549098` Chr`10` : `77,911,032`	0.001	0.999	0.000
rs703974 lBF = `10.1529` Chr`10` : `80,948,593`	0.001	0.999	0.000
rs975752 lBF = `0.361723` Chr`10` : `101,906,333`	0.001	0.999	0.000
rs17267338 lBF = `-0.0360097` Chr`10` : `114,388,272`	0.001	0.999	0.000
rs754466 lBF = `-0.0367628` Chr`10` : `79,680,434`	0.000	0.999	0.001
rs4142041 lBF = `-0.106222` Chr`10` : `68,640,951`	0.001	0.999	0.000
rs11593907 lBF = `5.52912` Chr`10` : `63,786,554`	0.000	0.999	0.001
rs1298908 lBF = `-0.00932412` Chr`10` : `82,013,134`	0.001	0.999	0.000
rs11245052 lBF = `-0.0657013` Chr`10` : `128,267,640`	0.000	0.999	0.001
rs10904908 lBF = `-0.079198` Chr`10` : `17,260,290`	0.001	0.999	0.000
rs1746048 lBF = `14.2974` Chr`10` : `44,775,824`	0.001	0.999	0.000
rs2675669 lBF = `1.78655` Chr`10` : `75,653,872`	0.001	0.999	0.000
rs1801239 lBF = `0.191179` Chr`10` : `16,919,052`	0.001	0.999	0.000
rs7084921 lBF = `0.0519887` Chr`10` : `101,813,802`	0.001	0.999	0.000
rs4838508 lBF = `0.00049608` Chr`10` : `50,561,507`	0.000	0.999	0.000
rs9943451 lBF = `-0.00284123` Chr`10` : `7,070,570`	0.000	0.999	0.000
rs7909235 lBF = `-0.0695232` Chr`10` : `68,374,084`	0.000	0.999	0.001
rs1746049 lBF = `13.6931` Chr`10` : `44,776,310`	0.001	0.999	0.000
rs45451594 lBF = `5.69523` Chr`10` : `5,658,757`	0.000	0.999	0.001
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.001	0.999	0.000
rs34779708 lBF = `0.829891` Chr`10` : `35,466,185`	0.000	0.999	0.001
rs16920624 lBF = `0.24525` Chr`10` : `20,810,525`	0.000	0.999	0.001
rs4748185 lBF = `0.00118185` Chr`10` : `15,654,887`	0.000	0.999	0.000
rs7911500 lBF = `-0.0118603` Chr`10` : `6,037,726`	0.001	0.999	0.000
rs2147896 lBF = `-0.107845` Chr`10` : `100,148,176`	0.000	0.999	0.001
rs12243326 lBF = `126.039` Chr`10` : `114,788,815`	0.001	0.999	0.000
rs12255372 lBF = `121.334` Chr`10` : `114,808,902`	0.001	0.999	0.000
rs71508903 lBF = `11.3778` Chr`10` : `63,779,871`	0.000	0.999	0.001
rs10762651 lBF = `0.860895` Chr`10` : `76,822,117`	0.000	0.999	0.001
rs7089227 lBF = `0.0968292` Chr`10` : `13,667,731`	0.000	0.999	0.001
rs4539242 lBF = `-0.102124` Chr`10` : `100,148,058`	0.000	0.999	0.001
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.001	0.999	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.000	0.999	0.000
rs12777823 lBF = `1.7707` Chr`10` : `96,405,502`	0.001	0.999	0.000
rs7916441 lBF = `1.41072` Chr`10` : `80,925,577`	0.001	0.999	0.000
rs11010067 lBF = `0.829909` Chr`10` : `35,295,431`	0.000	0.999	0.001
rs12722486 lBF = `0.138711` Chr`10` : `6,103,762`	0.000	0.999	0.001
rs11006280 lBF = `0.0951945` Chr`10` : `60,615,095`	0.001	0.999	0.000
rs10825036 lBF = `-0.0425371` Chr`10` : `55,266,231`	0.000	0.999	0.001
rs12258967 lBF = `5.1391` Chr`10` : `18,727,959`	0.001	0.999	0.000
rs7072574 lBF = `1.3795` Chr`10` : `96,036,306`	0.000	0.999	0.001
rs9419702 lBF = `-0.0696088` Chr`10` : `133,531,153`	0.000	0.999	0.001
rs11014249 lBF = `-0.0921938` Chr`10` : `25,111,910`	0.000	0.999	0.001
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.001	0.999	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.000	0.999	0.000
rs2862614 lBF = `5.02918` Chr`10` : `101,190,520`	0.000	0.999	0.001
rs17582416 lBF = `0.794082` Chr`10` : `35,287,650`	0.000	0.999	0.001
rs11257188 lBF = `0.324656` Chr`10` : `6,237,156`	0.001	0.999	0.000
rs6602364 lBF = `0.041086` Chr`10` : `6,038,853`	0.001	0.999	0.000
rs1334893 lBF = `0.031193` Chr`10` : `27,693,305`	0.001	0.999	0.000
rs190509410 lBF = `-0.00168367` Chr`10` : `63,626,494`	0.000	0.999	0.000
rs4751058 lBF = `-0.0358966` Chr`10` : `130,874,125`	0.000	0.999	0.001
rs11597390 lBF = `-0.0603143` Chr`10` : `101,861,435`	0.001	0.999	0.000
rs17731 lBF = `-0.0670186` Chr`10` : `3,821,561`	0.001	0.999	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.001	0.999	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.001	0.999	0.000
rs1074145 lBF = `3.13927` Chr`10` : `96,681,846`	0.001	0.999	0.000
rs4986894 lBF = `2.78295` Chr`10` : `96,522,365`	0.001	0.999	0.000
rs12357919 lBF = `0.188328` Chr`10` : `105,438,112`	0.001	0.999	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

0.4584

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4434

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9793

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9741

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9670

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9625

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9479

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9175

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9131

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9099

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9002

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8970

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8886

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8835

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8780

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8628

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8603

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8576

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8519

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8472

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8451

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8400

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8368

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8359

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8352

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8335

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8320

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8214

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8128

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8081

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8076

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8059

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7989

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7934

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7906

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7897

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7887

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7833

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7721

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7716

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7694

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7674

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7503

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7459

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7315

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7312

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7260

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7236

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7225

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7212

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7174

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7141

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7057

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7024

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6951

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6907

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6887

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6879

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6857

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6824

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6793

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6742

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6647

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6511

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6441

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6416

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6398

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6384

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6349

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6264

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6240

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6232

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6168

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6130

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6125

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6111

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6041

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5971

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5883

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5871

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5863

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5471

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5397

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5332

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5328

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5225

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5120

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5075

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5021

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5019

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4934

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4759

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4727

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4552

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4514

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4482

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4436

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4337

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4067

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3741

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3738

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3297

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3233

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3232

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3209

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3129

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3125

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3064

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2995

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2833

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2799

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2792

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2788

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2549

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2397

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2391

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2312

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2134

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2087

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2083

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1881

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1853

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1643

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1640

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1616

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1604

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1416

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1390

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1264

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1230

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1089

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0915

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0893

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.0875

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0846

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0791

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0751

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0705

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0675

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0629

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0610

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0602

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0591

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0588

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0565

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0526

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`)