TreeWAS – [C79] Secondary malignant neoplasm of other sites

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
rs10905279 lBF = `7.21525` Chr`10` : `8,107,572`	1.000	0.000	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.999	0.001	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.999	0.001	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.998	0.002	0.000
rs3824660 lBF = `4.51652` Chr`10` : `8,104,722`	0.000	0.004	0.996
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.996	0.004	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.995	0.005	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.995	0.005	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.995	0.005	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.994	0.006	0.000
rs2995264 lBF = `29.0139` Chr`10` : `105,668,843`	0.000	0.007	0.993
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.990	0.010	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.989	0.011	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.988	0.012	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.988	0.012	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.987	0.013	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.986	0.014	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.986	0.014	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.986	0.014	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.986	0.014	0.000
rs9419958 lBF = `34.8979` Chr`10` : `105,675,946`	0.000	0.015	0.985
rs41289279 lBF = `7.10619` Chr`10` : `988,262`	0.000	0.017	0.983
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.983	0.017	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.980	0.020	0.000
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.975	0.025	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.970	0.030	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.969	0.031	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.969	0.031	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.960	0.040	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.958	0.042	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.956	0.044	0.000
rs7090530 lBF = `13.9535` Chr`10` : `6,110,875`	0.951	0.049	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.950	0.050	0.000
rs3824662 lBF = `2.38261` Chr`10` : `8,104,208`	0.948	0.052	0.000
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.948	0.052	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.947	0.053	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.941	0.059	0.000
rs10509168 lBF = `9.52928` Chr`10` : `64,257,828`	0.932	0.068	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.930	0.070	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.925	0.075	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.921	0.079	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.919	0.081	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.919	0.081	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.914	0.086	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.908	0.092	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.896	0.104	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.887	0.113	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.879	0.121	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.878	0.122	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.875	0.125	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.872	0.128	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.869	0.131	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.858	0.142	0.000
rs3793891 lBF = `6.15257` Chr`10` : `112,264,964`	0.854	0.146	0.000
rs61862866 lBF = `6.50007` Chr`10` : `112,541,676`	0.000	0.148	0.852
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.847	0.153	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.842	0.158	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.842	0.158	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.841	0.159	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.802	0.198	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.797	0.203	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.796	0.204	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.782	0.218	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.776	0.224	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.776	0.224	0.000
rs10788160 lBF = `19.1751` Chr`10` : `123,033,549`	0.766	0.234	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.739	0.261	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.730	0.270	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.730	0.270	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.727	0.273	0.000
rs7085433 lBF = `0.537413` Chr`10` : `51,593,354`	0.727	0.273	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.725	0.275	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.714	0.286	0.000
rs1896376 lBF = `0.587607` Chr`10` : `125,515,829`	0.706	0.294	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.000	0.303	0.697
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.692	0.308	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.690	0.310	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.680	0.320	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.659	0.341	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.656	0.344	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.655	0.345	0.000
rs55909737 lBF = `5.35633` Chr`10` : `112,555,378`	0.000	0.355	0.645
rs11199874 lBF = `17.2829` Chr`10` : `123,032,519`	0.640	0.360	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.633	0.366	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.626	0.374	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.611	0.389	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.611	0.389	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.608	0.392	0.000
rs12254016 lBF = `5.09741` Chr`10` : `112,542,865`	0.600	0.400	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.597	0.403	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.595	0.405	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.589	0.411	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.576	0.424	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.575	0.425	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.562	0.437	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.559	0.441	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.557	0.443	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.541	0.459	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.496	0.504	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.482	0.518	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.474	0.526	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.468	0.532	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.466	0.534	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.459	0.541	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.455	0.545	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.446	0.554	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.428	0.572	0.000
rs2393895 lBF = `0.259105` Chr`10` : `64,338,846`	0.000	0.577	0.423
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.420	0.580	0.000
rs1687727 lBF = `8.86611` Chr`10` : `27,895,339`	0.413	0.587	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.409	0.591	0.000
rs17135159 lBF = `0.237642` Chr`10` : `3,408,947`	0.000	0.595	0.405
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.402	0.598	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.398	0.602	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.396	0.604	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.378	0.622	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.376	0.624	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.376	0.624	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.372	0.628	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.372	0.628	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.367	0.633	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.354	0.645	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.351	0.649	0.000
rs7090512 lBF = `3.16431` Chr`10` : `6,110,829`	0.000	0.668	0.332
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.327	0.673	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.326	0.674	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.323	0.677	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.320	0.679	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.320	0.679	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.320	0.680	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.320	0.680	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.311	0.689	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.308	0.691	0.000
rs4246949 lBF = `0.189099` Chr`10` : `125,517,080`	0.000	0.718	0.282
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.282	0.718	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.281	0.719	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.269	0.731	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.265	0.735	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.264	0.736	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.255	0.744	0.000
rs11597068 lBF = `0.120387` Chr`10` : `124,988,153`	0.000	0.745	0.255
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.255	0.745	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.253	0.747	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.245	0.755	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.241	0.759	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.237	0.763	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.236	0.764	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.230	0.770	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.225	0.774	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.225	0.774	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.215	0.784	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.214	0.786	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.203	0.797	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.197	0.803	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.189	0.811	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.187	0.813	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.184	0.816	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.184	0.816	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.181	0.819	0.000
rs10458787 lBF = `0.0502304` Chr`10` : `4,655,565`	0.000	0.828	0.172
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.168	0.832	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.166	0.834	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.165	0.835	0.000
rs12256830 lBF = `0.132379` Chr`10` : `55,384,743`	0.161	0.839	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.157	0.843	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.153	0.847	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.148	0.851	0.000
rs113793030 lBF = `0.0882916` Chr`10` : `72,046,860`	0.000	0.854	0.146
rs117850870 lBF = `0.254485` Chr`10` : `50,523,748`	0.146	0.854	0.000
rs588517 lBF = `0.0681529` Chr`10` : `83,153,246`	0.145	0.855	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.140	0.860	0.000
rs80312298 lBF = `0.33808` Chr`10` : `131,481,273`	0.139	0.861	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.138	0.862	0.000
rs706779 lBF = `18.2692` Chr`10` : `6,098,824`	0.134	0.866	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.121	0.879	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.115	0.885	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.113	0.887	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.097	0.899	0.004
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.100	0.900	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.094	0.905	0.001
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.001	0.906	0.093
rs9665626 lBF = `0.149738` Chr`10` : `104,300,638`	0.000	0.908	0.092
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.092	0.908	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.084	0.916	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.083	0.917	0.000
rs74157220 lBF = `0.126331` Chr`10` : `114,877,867`	0.083	0.917	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.082	0.918	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.080	0.920	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.078	0.922	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.077	0.923	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.074	0.926	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.074	0.926	0.000
rs3824756 lBF = `0.064437` Chr`10` : `104,359,350`	0.072	0.928	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.070	0.930	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.069	0.931	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.069	0.931	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.068	0.932	0.000
rs10905868 lBF = `2.76174` Chr`10` : `10,974,256`	0.066	0.934	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.064	0.936	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.062	0.937	0.001
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.061	0.938	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.061	0.939	0.000
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rs188724679 lBF = `0` Chr`10` : `135,224,855`	0.001	0.999	0.001
rs78627331 lBF = `0` Chr`10` : `94,812,254`	0.001	0.999	0.001
rs4750829 lBF = `0` Chr`10` : `132,547,261`	0.001	0.999	0.001
rs12263766 lBF = `0` Chr`10` : `9,996,990`	0.001	0.999	0.001
rs184737911 lBF = `0` Chr`10` : `88,431,292`	0.001	0.999	0.001
rs76850691 lBF = `0` Chr`10` : `101,157,438`	0.001	0.999	0.001
rs58600253 lBF = `0` Chr`10` : `64,507,904`	0.001	0.999	0.001
rs115553536 lBF = `0` Chr`10` : `31,981,385`	0.001	0.999	0.001
rs190671939 lBF = `0` Chr`10` : `134,909,987`	0.001	0.999	0.001
rs182554582 lBF = `0` Chr`10` : `88,194,959`	0.001	0.999	0.001
rs142973438 lBF = `0` Chr`10` : `95,315,999`	0.001	0.999	0.001
rs182344828 lBF = `0` Chr`10` : `54,593,326`	0.001	0.999	0.001
rs77040403 lBF = `0` Chr`10` : `71,640,838`	0.001	0.999	0.001
rs10796051 lBF = `0` Chr`10` : `13,310,071`	0.001	0.999	0.001
rs185671464 lBF = `0` Chr`10` : `54,486,920`	0.001	0.999	0.001
rs144473309 lBF = `0` Chr`10` : `77,129,161`	0.001	0.999	0.001
rs79105493 lBF = `0` Chr`10` : `95,475,354`	0.001	0.999	0.001
rs117260820 lBF = `0` Chr`10` : `102,048,643`	0.001	0.999	0.001
rs140682412 lBF = `0` Chr`10` : `89,332,706`	0.001	0.999	0.001
rs190045766 lBF = `0` Chr`10` : `120,643,886`	0.001	0.999	0.001
rs180858466 lBF = `0` Chr`10` : `38,761,238`	0.001	0.999	0.001
rs185636671 lBF = `0` Chr`10` : `135,172,794`	0.001	0.999	0.001
rs143988467 lBF = `0` Chr`10` : `95,317,394`	0.001	0.999	0.001
rs181666690 lBF = `0` Chr`10` : `28,852,022`	0.001	0.999	0.001
rs183323229 lBF = `0` Chr`10` : `33,168,215`	0.001	0.999	0.001
rs114088342 lBF = `0` Chr`10` : `35,918,232`	0.001	0.999	0.001
rs12245299 lBF = `0` Chr`10` : `55,913,700`	0.001	0.999	0.001
rs7072776 lBF = `0` Chr`10` : `22,032,942`	0.001	0.999	0.001
rs2388328 lBF = `-0.00002686` Chr`10` : `131,234,372`	0.001	0.999	0.000
rs17770015 lBF = `0.00879127` Chr`10` : `115,238,764`	0.001	0.999	0.000
rs41322152 lBF = `0.00001398` Chr`10` : `72,040,805`	0.001	0.999	0.000
rs181778161 lBF = `-0.00000964` Chr`10` : `91,691,500`	0.000	0.999	0.001
rs10508343 lBF = `-0.00003164` Chr`10` : `8,150,713`	0.001	0.999	0.000
rs114154155 lBF = `-0.00021094` Chr`10` : `63,185,662`	0.001	0.999	0.000
rs7911264 lBF = `7.26448` Chr`10` : `94,436,851`	0.001	0.999	0.000
rs2387326 lBF = `-0.0245273` Chr`10` : `129,933,456`	0.000	0.999	0.001
rs5015480 lBF = `15.2692` Chr`10` : `94,465,559`	0.001	0.999	0.000
rs1815314 lBF = `2.56558` Chr`10` : `80,928,793`	0.000	0.999	0.001
rs12722489 lBF = `4.70914` Chr`10` : `6,102,012`	0.000	0.999	0.001
rs9943451 lBF = `-0.00284123` Chr`10` : `7,070,570`	0.001	0.999	0.000
rs11101730 lBF = `-0.0111725` Chr`10` : `135,197,336`	0.000	0.999	0.001
rs10466033 lBF = `0.0195016` Chr`10` : `76,703,006`	0.001	0.999	0.000
rs7070038 lBF = `-0.00056207` Chr`10` : `59,724,388`	0.001	0.999	0.000
rs7087591 lBF = `13.617` Chr`10` : `94,473,629`	0.001	0.999	0.000
rs1555804 lBF = `0.00146244` Chr`10` : `23,393,066`	0.000	0.999	0.000
rs7919006 lBF = `-0.0291968` Chr`10` : `76,808,760`	0.001	0.999	0.000
rs61860854 lBF = `-0.00330457` Chr`10` : `61,339,893`	0.000	0.999	0.001
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.001	0.999	0.000
rs978571 lBF = `0.00178102` Chr`10` : `108,414,764`	0.000	0.999	0.000
rs12098564 lBF = `-0.0022825` Chr`10` : `86,953,327`	0.001	0.999	0.000
rs4631830 lBF = `17.0383` Chr`10` : `51,543,344`	0.001	0.999	0.000
rs444929 lBF = `0.535489` Chr`10` : `8,110,024`	0.000	0.999	0.001
rs1258267 lBF = `0.0057688` Chr`10` : `50,895,770`	0.001	0.999	0.000
rs938036 lBF = `-0.00877572` Chr`10` : `65,658,744`	0.001	0.999	0.000
rs501764 lBF = `0.105366` Chr`10` : `8,093,034`	0.000	0.999	0.001
rs12356475 lBF = `0.0442279` Chr`10` : `67,761,720`	0.000	0.999	0.001
rs118048115 lBF = `0.00285925` Chr`10` : `122,279,476`	0.001	0.999	0.000
rs79619559 lBF = `0.0123627` Chr`10` : `2,776,698`	0.001	0.999	0.000
rs6560749 lBF = `-0.0155448` Chr`10` : `1,676,531`	0.001	0.999	0.000
rs7893600 lBF = `-0.00035735` Chr`10` : `23,434,744`	0.001	0.999	0.000
rs74122981 lBF = `0.00138068` Chr`10` : `14,790,203`	0.000	0.999	0.001
rs4838508 lBF = `0.00049608` Chr`10` : `50,561,507`	0.000	0.999	0.000
rs266095 lBF = `-0.0382071` Chr`10` : `44,864,168`	0.000	0.999	0.001
rs10762651 lBF = `0.860895` Chr`10` : `76,822,117`	0.001	0.999	0.000
rs728616 lBF = `0.185726` Chr`10` : `81,847,914`	0.001	0.999	0.000
rs12768811 lBF = `0.0342091` Chr`10` : `33,474,751`	0.000	0.999	0.001
rs7916968 lBF = `-0.0278577` Chr`10` : `759,268`	0.000	0.999	0.001
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.000	0.999	0.000
rs11187842 lBF = `5.56677` Chr`10` : `96,052,511`	0.001	0.999	0.000
rs10466239 lBF = `-0.0375921` Chr`10` : `43,849,827`	0.000	0.999	0.001
rs2904804 lBF = `-0.0415251` Chr`10` : `5,009,759`	0.001	0.999	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.000	0.999	0.001
rs11819364 lBF = `-0.00470806` Chr`10` : `129,043,310`	0.000	0.999	0.001
rs12571964 lBF = `-0.0756555` Chr`10` : `2,424,556`	0.000	0.999	0.001
rs16926246 lBF = `-0.0547582` Chr`10` : `71,093,392`	0.001	0.999	0.000
rs10821944 lBF = `4.02916` Chr`10` : `63,785,089`	0.001	0.999	0.000
rs12775535 lBF = `0.0778572` Chr`10` : `25,918,879`	0.000	0.999	0.001
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	0.999	0.001
rs190509410 lBF = `-0.00168367` Chr`10` : `63,626,494`	0.000	0.999	0.000
rs4881147 lBF = `-0.106575` Chr`10` : `3,342,774`	0.001	0.999	0.000
rs12249377 lBF = `-0.0454975` Chr`10` : `92,592,956`	0.000	0.999	0.001
rs11196181 lBF = `6.91775` Chr`10` : `114,749,018`	0.001	0.999	0.000
rs7916441 lBF = `1.41072` Chr`10` : `80,925,577`	0.000	0.999	0.001
rs7090925 lBF = `-0.111728` Chr`10` : `8,479,868`	0.001	0.999	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.001	0.999	0.000
rs10786436 lBF = `0.0460682` Chr`10` : `100,300,182`	0.001	0.999	0.000
rs2790232 lBF = `0.0453778` Chr`10` : `59,985,671`	0.001	0.999	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.001	0.999	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.000	0.999	0.000
rs75984653 lBF = `0.211922` Chr`10` : `24,357,791`	0.001	0.999	0.000
rs4751185 lBF = `0.137353` Chr`10` : `132,056,415`	0.001	0.999	0.000
rs79802331 lBF = `7.89544` Chr`10` : `105,603,920`	0.000	0.999	0.001
rs6583954 lBF = `2.57148` Chr`10` : `96,534,263`	0.000	0.999	0.001
rs2297991 lBF = `0.173911` Chr`10` : `113,913,222`	0.001	0.999	0.000
rs72793138 lBF = `0.00702607` Chr`10` : `55,480,888`	0.000	0.999	0.001
rs2497442 lBF = `-0.00598863` Chr`10` : `7,216,979`	0.000	0.999	0.000
rs796127 lBF = `-0.0830505` Chr`10` : `31,968,729`	0.001	0.999	0.000
rs2981575 lBF = `115.713` Chr`10` : `123,346,116`	0.001	0.999	0.000
rs7912831 lBF = `5.83513` Chr`10` : `8,731,255`	0.001	0.999	0.000
rs7097577 lBF = `-0.00315944` Chr`10` : `10,296,119`	0.000	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 X0097

log Bayes Factor = 96.1227

contains 10 variants

1.0000

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.9995

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7520

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

1.0000

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

1.0000

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

1.0000

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

1.0000

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

1.0000

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

1.0000

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

1.0000

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

1.0000

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

1.0000

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

1.0000

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

1.0000

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

1.0000

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

1.0000

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

1.0000

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

1.0000

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

1.0000

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

1.0000

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

1.0000

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

1.0000

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

1.0000

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

1.0000

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

1.0000

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

1.0000

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

1.0000

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

1.0000

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

1.0000

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

1.0000

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

1.0000

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

1.0000

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9999

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9996

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9995

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9993

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9990

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9989

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9986

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9982

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9974

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9963

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9962

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9960

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9959

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9953

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9950

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9945

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9944

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.9921

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9918

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9863

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9855

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9853

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9829

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9822

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9776

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9649

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9619

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9592

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9562

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9506

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9505

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9429

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9295

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9285

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9266

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9230

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9189

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9071

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8987

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8975

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8835

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8658

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8653

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8306

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8015

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7983

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7972

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7969

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7912

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7866

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7812

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7463

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6454

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6295

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6253

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5952

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5815

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4998

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4997

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4779

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4300

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4240

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4065

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4057

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4048

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3952

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3642

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3531

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3366

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3316

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3305

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2948

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2833

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2658

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2446

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2346

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2286

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2253

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1876

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1479

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1350

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1292

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1220

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1215

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1165

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1020

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0945

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0856

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0840

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0790

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0779

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0718

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0666

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0593

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.0519

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`)