TreeWAS – [Z85.9] Personal history of malignant neoplasm, unspecified

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
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.717	0.283	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.716	0.283	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.716	0.284	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.711	0.288	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.710	0.290	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.702	0.298	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.701	0.299	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.695	0.305	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.689	0.311	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.689	0.311	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.662	0.337	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.653	0.347	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.637	0.363	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.636	0.364	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.607	0.393	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.606	0.394	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.596	0.404	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.587	0.412	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.583	0.417	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.582	0.418	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.579	0.421	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.566	0.433	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.563	0.437	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.557	0.443	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.534	0.466	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.519	0.481	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.499	0.500	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.481	0.519	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.478	0.521	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.457	0.543	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.430	0.570	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.413	0.587	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.404	0.596	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.396	0.603	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.370	0.630	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.342	0.658	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.300	0.700	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.290	0.710	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.286	0.714	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.285	0.714	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.280	0.720	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.276	0.724	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.260	0.740	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.260	0.740	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.257	0.743	0.000
rs9419958 lBF = `34.8979` Chr`10` : `105,675,946`	0.000	0.753	0.247
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.237	0.763	0.000
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.233	0.767	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.230	0.770	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.220	0.779	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.204	0.796	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.190	0.809	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.190	0.810	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.179	0.821	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.177	0.823	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.172	0.828	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.157	0.842	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.154	0.846	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.149	0.851	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.145	0.855	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.142	0.858	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.134	0.866	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.128	0.871	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.122	0.877	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.119	0.881	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.118	0.882	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.112	0.888	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.109	0.891	0.000
rs1219515 lBF = `3.43486` Chr`10` : `123,431,245`	0.106	0.894	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.104	0.896	0.000
rs2995264 lBF = `29.0139` Chr`10` : `105,668,843`	0.000	0.904	0.096
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.093	0.907	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.090	0.910	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.081	0.919	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.079	0.921	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.077	0.923	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.076	0.923	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.925	0.075
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.075	0.925	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.074	0.926	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.074	0.926	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.070	0.930	0.000
rs1631281 lBF = `9.53385` Chr`10` : `123,390,785`	0.069	0.931	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.069	0.931	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.068	0.932	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.067	0.932	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.066	0.934	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.064	0.936	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.063	0.937	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.056	0.944	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.056	0.944	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.051	0.949	0.001
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.049	0.951	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.049	0.951	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.048	0.952	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.047	0.953	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.045	0.955	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.042	0.958	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.041	0.959	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.041	0.959	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.039	0.961	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.038	0.962	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.035	0.965	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.034	0.965	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.031	0.969	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.028	0.971	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.027	0.973	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.026	0.974	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.023	0.977	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.021	0.978	0.001
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.022	0.978	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.020	0.980	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.980	0.020
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.017	0.983	0.000
rs3135758 lBF = `1.81643` Chr`10` : `123,277,869`	0.016	0.984	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.015	0.985	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.014	0.986	0.000
rs5011832 lBF = `6.12001` Chr`10` : `21,782,842`	0.014	0.986	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.013	0.987	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.012	0.988	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.011	0.989	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.010	0.989	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.010	0.989	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.010	0.989	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.010	0.990	0.001
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.010	0.990	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.010	0.990	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.010	0.990	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.009	0.991	0.000
rs45631630 lBF = `6.07045` Chr`10` : `123,340,824`	0.000	0.992	0.008
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.008	0.992	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.008	0.992	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.007	0.993	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.007	0.993	0.000
rs9733352 lBF = `-0.0943421` Chr`10` : `128,777,390`	0.007	0.993	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.006	0.994	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.006	0.994	0.000
rs11199254 lBF = `0.011713` Chr`10` : `122,043,489`	0.000	0.994	0.006
rs192858301 lBF = `0.00606176` Chr`10` : `24,071,006`	0.006	0.994	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.006	0.994	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.005	0.994	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.005	0.995	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.005	0.995	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.005	0.995	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.005	0.995	0.000
rs12261589 lBF = `0.00340007` Chr`10` : `79,540,835`	0.004	0.995	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.005	0.995	0.000
rs2912774 lBF = `115.458` Chr`10` : `123,348,662`	0.000	0.996	0.004
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	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
rs1078806 lBF = `115.622` Chr`10` : `123,338,975`	0.004	0.996	0.000
rs11200014 lBF = `114.753` Chr`10` : `123,334,930`	0.004	0.996	0.000
rs2981579 lBF = `109.474` Chr`10` : `123,337,335`	0.004	0.996	0.000
rs2981575 lBF = `115.713` Chr`10` : `123,346,116`	0.003	0.997	0.000
rs1219648 lBF = `114.431` Chr`10` : `123,346,190`	0.003	0.997	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.003	0.997	0.000
rs2981582 lBF = `104.802` Chr`10` : `123,352,317`	0.003	0.997	0.000
rs3750817 lBF = `29.8203` Chr`10` : `123,332,577`	0.000	0.997	0.003
rs2912780 lBF = `115.044` Chr`10` : `123,337,117`	0.000	0.997	0.003
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.003	0.997	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.003	0.997	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.003	0.997	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.003	0.997	0.000
rs12242110 lBF = `0.0744081` Chr`10` : `35,535,695`	0.003	0.997	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.002	0.997	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.002	0.998	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.002	0.998	0.000
rs115882204 lBF = `0.00233729` Chr`10` : `28,590,383`	0.002	0.998	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.002	0.998	0.000
rs7904655 lBF = `0.00219837` Chr`10` : `22,838,726`	0.002	0.998	0.000
rs146173241 lBF = `0.00117937` Chr`10` : `118,044,738`	0.002	0.998	0.000
rs1555804 lBF = `0.00146244` Chr`10` : `23,393,066`	0.000	0.998	0.002
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.002	0.998	0.000
rs6584202 lBF = `-0.0676378` Chr`10` : `100,170,383`	0.002	0.998	0.000
rs34779708 lBF = `0.829891` Chr`10` : `35,466,185`	0.002	0.998	0.000
rs12247397 lBF = `0.00205855` Chr`10` : `9,363,877`	0.002	0.998	0.000
rs7078209 lBF = `-0.118108` Chr`10` : `124,860,026`	0.000	0.998	0.002
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.002	0.998	0.000
rs11204213 lBF = `0.00135386` Chr`10` : `48,388,228`	0.001	0.998	0.000
rs11190141 lBF = `3.32864` Chr`10` : `101,292,390`	0.000	0.998	0.002
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.002	0.998	0.000
rs17582416 lBF = `0.794082` Chr`10` : `35,287,650`	0.002	0.998	0.000
rs11010067 lBF = `0.829909` Chr`10` : `35,295,431`	0.002	0.998	0.000
rs16926523 lBF = `0.00070521` Chr`10` : `26,294,828`	0.001	0.998	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.001	0.998	0.000
rs187797607 lBF = `0.00544303` Chr`10` : `131,201,861`	0.001	0.998	0.000
rs7078219 lBF = `3.63934` Chr`10` : `101,274,365`	0.000	0.998	0.001
rs11190134 lBF = `3.4476` Chr`10` : `101,282,200`	0.000	0.999	0.001
rs150400940 lBF = `0.00039955` Chr`10` : `113,810,429`	0.001	0.999	0.000
rs2497442 lBF = `-0.00598863` Chr`10` : `7,216,979`	0.001	0.999	0.000
rs12220898 lBF = `-0.00475603` Chr`10` : `50,576,633`	0.001	0.999	0.000
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.000	0.999	0.001
rs2981578 lBF = `83.9794` Chr`10` : `123,340,311`	0.000	0.999	0.001
rs494207 lBF = `27.0929` Chr`10` : `44,741,256`	0.000	0.999	0.001
rs1397615 lBF = `0.00025863` Chr`10` : `120,966,339`	0.001	0.999	0.000
rs384627 lBF = `0.0004008` Chr`10` : `119,336,746`	0.001	0.999	0.000
rs704010 lBF = `0.0503519` Chr`10` : `80,841,148`	0.000	0.999	0.001
rs10824026 lBF = `0.0068493` Chr`10` : `75,421,208`	0.001	0.999	0.000
rs12049671 lBF = `-0.0881859` Chr`10` : `129,737,631`	0.001	0.999	0.000
rs970548 lBF = `17.0444` Chr`10` : `46,013,277`	0.001	0.999	0.000
rs12570188 lBF = `0.00129824` Chr`10` : `100,855,702`	0.001	0.999	0.000
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rs11187837 lBF = `4.57578` Chr`10` : `96,035,980`	0.000	1.000	0.000
rs2227564 lBF = `0.506316` Chr`10` : `75,673,101`	0.000	1.000	0.000
rs35668226 lBF = `0.284751` Chr`10` : `122,849,667`	0.000	1.000	0.000
rs76765968 lBF = `0.0176028` Chr`10` : `87,694,292`	0.000	1.000	0.000
rs2484990 lBF = `0.0117195` Chr`10` : `31,515,132`	0.000	1.000	0.000
rs10128443 lBF = `-0.00546785` Chr`10` : `59,422,427`	0.000	1.000	0.000
rs34674354 lBF = `-0.0143305` Chr`10` : `59,367,396`	0.000	1.000	0.000
rs7077606 lBF = `-0.0559405` Chr`10` : `55,407,091`	0.000	1.000	0.000
rs1891159 lBF = `-0.0754732` Chr`10` : `72,795,877`	0.000	1.000	0.000
rs10993994 lBF = `26.248` Chr`10` : `51,549,496`	0.000	1.000	0.000
rs10826125 lBF = `18.8786` Chr`10` : `51,530,505`	0.000	1.000	0.000
rs10748781 lBF = `6.53438` Chr`10` : `101,283,330`	0.000	1.000	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.000	1.000	0.000
rs2274223 lBF = `0.877294` Chr`10` : `96,066,341`	0.000	1.000	0.000
rs1625975 lBF = `0.0581198` Chr`10` : `73,422,284`	0.000	1.000	0.000
rs10788289 lBF = `-0.00561361` Chr`10` : `85,644,615`	0.000	1.000	0.000
rs6560749 lBF = `-0.0155448` Chr`10` : `1,676,531`	0.000	1.000	0.000
rs2764980 lBF = `-0.0873197` Chr`10` : `3,284,007`	0.000	1.000	0.000
rs678741 lBF = `-0.0873865` Chr`10` : `102,997,581`	0.000	1.000	0.000
rs10787472 lBF = `53.278` Chr`10` : `114,781,297`	0.000	1.000	0.000
Affx-2374111 lBF = `6.24994` Chr`10` : `101,436,165`	0.000	1.000	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.000	1.000	0.000
rs2489715 lBF = `2.43101` Chr`10` : `42,917,476`	0.000	1.000	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.000	1.000	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.000	1.000	0.000
rs2506155 lBF = `0.178512` Chr`10` : `33,503,179`	0.000	1.000	0.000
rs1937395 lBF = `0.159071` Chr`10` : `56,391,303`	0.000	1.000	0.000
rs2459210 lBF = `0.136741` Chr`10` : `126,144,179`	0.000	1.000	0.000
rs4608000 lBF = `0.0297793` Chr`10` : `109,510,095`	0.000	1.000	0.000
rs2842169 lBF = `0.00422794` Chr`10` : `128,330,713`	0.000	1.000	0.000
rs3923564 lBF = `-0.00467147` Chr`10` : `81,735,981`	0.000	1.000	0.000
rs1192691 lBF = `-0.0202127` Chr`10` : `37,169,295`	0.000	1.000	0.000
rs7907361 lBF = `-0.0323936` Chr`10` : `114,468,137`	0.000	1.000	0.000
rs17147135 lBF = `-0.0358584` Chr`10` : `10,084,566`	0.000	1.000	0.000
rs4750316 lBF = `-0.0474825` Chr`10` : `6,393,260`	0.000	1.000	0.000
rs1800682 lBF = `-0.0553043` Chr`10` : `90,749,963`	0.000	1.000	0.000
rs791888 lBF = `-0.0589454` Chr`10` : `89,412,575`	0.000	1.000	0.000
rs4558075 lBF = `-0.0649266` Chr`10` : `6,401,625`	0.000	1.000	0.000
rs807029 lBF = `-0.0843325` Chr`10` : `102,764,047`	0.000	1.000	0.000
rs989507 lBF = `-0.0860215` Chr`10` : `127,135,838`	0.000	1.000	0.000
rs181500 lBF = `-0.113449` Chr`10` : `119,181,871`	0.000	1.000	0.000
rs3123078 lBF = `19.3666` Chr`10` : `51,524,971`	0.000	1.000	0.000
rs4918788 lBF = `16.3179` Chr`10` : `114,820,961`	0.000	1.000	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.000	1.000	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.000	1.000	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.000	1.000	0.000
rs2231687 lBF = `6.47113` Chr`10` : `101,473,218`	0.000	1.000	0.000
rs4948275 lBF = `0.917063` Chr`10` : `63,136,622`	0.000	1.000	0.000
rs1002442 lBF = `0.722416` Chr`10` : `61,803,062`	0.000	1.000	0.000
rs17094222 lBF = `0.413074` Chr`10` : `102,395,440`	0.000	1.000	0.000
rs12358475 lBF = `0.266642` Chr`10` : `11,848,792`	0.000	1.000	0.000
rs11812286 lBF = `0.0466344` Chr`10` : `61,073,614`	0.000	1.000	0.000
rs11593576 lBF = `0.0421681` Chr`10` : `81,015,896`	0.000	1.000	0.000
rs10466033 lBF = `0.0195016` Chr`10` : `76,703,006`	0.000	1.000	0.000
rs12355831 lBF = `-0.0122477` Chr`10` : `114,202,526`	0.000	1.000	0.000
rs1712517 lBF = `-0.0308084` Chr`10` : `105,033,015`	0.000	1.000	0.000
rs80353807 lBF = `-0.0422571` Chr`10` : `64,319,539`	0.000	1.000	0.000
rs61310603 lBF = `-0.0709355` Chr`10` : `130,346,154`	0.000	1.000	0.000
rs4488133 lBF = `-0.0876667` Chr`10` : `100,159,136`	0.000	1.000	0.000
rs7072216 lBF = `-0.0930109` Chr`10` : `100,156,853`	0.000	1.000	0.000
rs4539242 lBF = `-0.102124` Chr`10` : `100,148,058`	0.000	1.000	0.000
rs4631830 lBF = `17.0383` Chr`10` : `51,543,344`	0.000	1.000	0.000
rs10821944 lBF = `4.02916` Chr`10` : `63,785,089`	0.000	1.000	0.000
rs17095355 lBF = `0.829671` Chr`10` : `111,735,750`	0.000	1.000	0.000
rs477692 lBF = `0.178769` Chr`10` : `131,426,022`	0.000	1.000	0.000
rs7900239 lBF = `0.0901211` Chr`10` : `80,515,081`	0.000	1.000	0.000
rs35766269 lBF = `0.0588944` Chr`10` : `9,023,815`	0.000	1.000	0.000
rs11188352 lBF = `0.055683` Chr`10` : `97,301,004`	0.000	1.000	0.000
rs1258267 lBF = `0.0057688` Chr`10` : `50,895,770`	0.000	1.000	0.000
rs72806511 lBF = `-0.00577325` Chr`10` : `60,701,000`	0.000	1.000	0.000
rs16928529 lBF = `-0.00659431` Chr`10` : `72,982,985`	0.000	1.000	0.000
rs12722605 lBF = `-0.00662718` Chr`10` : `6,053,163`	0.000	1.000	0.000
rs583012 lBF = `-0.00901107` Chr`10` : `55,294,874`	0.000	1.000	0.000
rs75165347 lBF = `-0.0212639` Chr`10` : `118,611,335`	0.000	1.000	0.000
rs17661538 lBF = `-0.0457803` Chr`10` : `18,397,247`	0.000	1.000	0.000
rs11008099 lBF = `-0.0572807` Chr`10` : `30,834,632`	0.000	1.000	0.000
rs11013962 lBF = `-0.0773793` Chr`10` : `24,495,586`	0.000	1.000	0.000
rs4917385 lBF = `-0.084733` Chr`10` : `105,003,721`	0.000	1.000	0.000
rs1148259 lBF = `-0.102038` Chr`10` : `37,508,450`	0.000	1.000	0.000
rs7904519 lBF = `53.1852` Chr`10` : `114,773,927`	0.000	1.000	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.000	1.000	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.000	1.000	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.000	1.000	0.000
rs41289279 lBF = `7.10619` Chr`10` : `988,262`	0.000	1.000	0.000
rs2274224 lBF = `5.64336` Chr`10` : `96,039,597`	0.000	1.000	0.000
rs17221323 lBF = `3.71226` Chr`10` : `618,685`	0.000	1.000	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.000	1.000	0.000
rs2031577 lBF = `0.590296` Chr`10` : `4,050,003`	0.000	1.000	0.000
rs80312298 lBF = `0.33808` Chr`10` : `131,481,273`	0.000	1.000	0.000
rs2227551 lBF = `0.324915` Chr`10` : `75,669,190`	0.000	1.000	0.000
rs12358699 lBF = `0.143778` Chr`10` : `45,553,729`	0.000	1.000	0.000
rs2797501 lBF = `0.0188912` Chr`10` : `5,804,531`	0.000	1.000	0.000
rs1834180 lBF = `0.0143578` Chr`10` : `109,626,066`	0.000	1.000	0.000
rs2477664 lBF = `0.00420855` Chr`10` : `17,875,816`	0.000	1.000	0.000
rs17109512 lBF = `-0.00785217` Chr`10` : `100,127,551`	0.000	1.000	0.000
rs28360899 lBF = `-0.0111531` Chr`10` : `125,772,237`	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 X0105

log Bayes Factor = 23.0031

contains 2 variants

0.7553

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5396

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1266

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9782

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9564

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9291

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9197

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9099

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9040

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9027

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8945

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8856

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8796

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8582

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.8565

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8500

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8361

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8331

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8173

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8038

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7994

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7884

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7832

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7665

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7648

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7483

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7169

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7103

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7081

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6865

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6687

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6582

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6466

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6446

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6345

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5814

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5511

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.4238

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4010

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3163

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2573

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2519

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2334

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2154

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2152

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2047

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1918

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1623

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1531

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1308

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1235

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1233

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1049

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1032

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1022

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0970

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0744

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0730

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0714

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0685

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0647

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0614

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0546

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0529

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`)