TreeWAS – [C19] Malignant neoplasm of rectosigmoid junction

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
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.937	0.063	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.915	0.085	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.863	0.137	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.849	0.151	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.840	0.160	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.822	0.178	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.821	0.179	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.820	0.180	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.819	0.181	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.798	0.202	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.795	0.205	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.784	0.216	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.781	0.219	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.772	0.228	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.768	0.231	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.762	0.238	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.760	0.240	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.756	0.244	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.756	0.244	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.753	0.247	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.752	0.248	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.740	0.260	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.722	0.278	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.720	0.280	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.720	0.280	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.711	0.289	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.710	0.290	0.000
rs1687727 lBF = `8.86611` Chr`10` : `27,895,339`	0.706	0.294	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.702	0.298	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.698	0.302	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.698	0.302	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.687	0.313	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.672	0.328	0.000
rs72831785 lBF = `5.17017` Chr`10` : `110,972,057`	0.668	0.332	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.662	0.338	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.662	0.338	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.660	0.339	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.658	0.342	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.656	0.344	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.647	0.352	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.636	0.364	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.633	0.367	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.627	0.373	0.000
rs2862614 lBF = `5.02918` Chr`10` : `101,190,520`	0.625	0.375	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.623	0.377	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.622	0.378	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.617	0.383	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.610	0.390	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.605	0.395	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.604	0.396	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.598	0.402	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.594	0.406	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.594	0.406	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.591	0.409	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.588	0.412	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.582	0.417	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.580	0.420	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.573	0.427	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.563	0.437	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.562	0.438	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.561	0.439	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.559	0.440	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.548	0.452	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.542	0.458	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.535	0.464	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.534	0.466	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.530	0.470	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.523	0.476	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.517	0.483	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.511	0.489	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.511	0.489	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.509	0.491	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.508	0.492	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.496	0.504	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.494	0.506	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.492	0.507	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.483	0.516	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.483	0.516	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.478	0.522	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.475	0.525	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.470	0.529	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.457	0.542	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.456	0.544	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.454	0.546	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.453	0.547	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.451	0.548	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.436	0.564	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.435	0.565	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.431	0.569	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.430	0.570	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.427	0.573	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.424	0.576	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.423	0.577	0.000
rs3793891 lBF = `6.15257` Chr`10` : `112,264,964`	0.416	0.584	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.411	0.589	0.000
rs10788160 lBF = `19.1751` Chr`10` : `123,033,549`	0.399	0.601	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.397	0.602	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.389	0.611	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.384	0.616	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.380	0.620	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.375	0.624	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.374	0.626	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.373	0.627	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.000	0.631	0.369
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.368	0.632	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.357	0.643	0.001
rs11199874 lBF = `17.2829` Chr`10` : `123,032,519`	0.341	0.659	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.336	0.663	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.328	0.672	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.311	0.689	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.311	0.689	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.306	0.693	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.301	0.699	0.001
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.298	0.702	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.291	0.709	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.290	0.710	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.289	0.710	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.286	0.714	0.001
rs10905279 lBF = `7.21525` Chr`10` : `8,107,572`	0.285	0.715	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.279	0.721	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.272	0.728	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.262	0.738	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.260	0.740	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.259	0.741	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.255	0.744	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.247	0.753	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.240	0.759	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.228	0.772	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.227	0.772	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.227	0.773	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.226	0.774	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.225	0.775	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.223	0.777	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.223	0.777	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.223	0.777	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.221	0.779	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.220	0.780	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.220	0.780	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.219	0.781	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.216	0.784	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.209	0.791	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.208	0.791	0.001
rs80312298 lBF = `0.33808` Chr`10` : `131,481,273`	0.208	0.792	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.198	0.801	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.199	0.801	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.198	0.801	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.198	0.801	0.001
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.194	0.806	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.193	0.807	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.190	0.809	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.185	0.814	0.001
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.185	0.815	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.179	0.820	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.179	0.821	0.000
rs57582212 lBF = `5.11979` Chr`10` : `6,079,035`	0.179	0.821	0.000
rs12412942 lBF = `0.241957` Chr`10` : `2,357,702`	0.000	0.822	0.178
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.177	0.823	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.175	0.825	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.173	0.827	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.171	0.828	0.001
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.170	0.829	0.001
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.830	0.170
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.166	0.833	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.164	0.835	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.164	0.836	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.162	0.837	0.001
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.162	0.838	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.161	0.839	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.156	0.843	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.154	0.846	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.153	0.846	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.140	0.860	0.000
rs704017 lBF = `3.96086` Chr`10` : `80,819,132`	0.129	0.871	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.123	0.877	0.001
rs588517 lBF = `0.0681529` Chr`10` : `83,153,246`	0.121	0.879	0.000
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.118	0.882	0.000
rs1799853 lBF = `0.0196419` Chr`10` : `96,702,047`	0.112	0.888	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.110	0.890	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.107	0.893	0.000
rs2185570 lBF = `0.0165127` Chr`10` : `96,751,270`	0.106	0.894	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.104	0.895	0.001
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.103	0.897	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.103	0.897	0.001
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.101	0.899	0.001
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.100	0.899	0.000
rs74157220 lBF = `0.126331` Chr`10` : `114,877,867`	0.100	0.900	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.098	0.901	0.001
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.094	0.906	0.000
rs113793030 lBF = `0.0882916` Chr`10` : `72,046,860`	0.000	0.909	0.091
rs9527 lBF = `0.0167917` Chr`10` : `104,623,578`	0.000	0.909	0.091
rs3824662 lBF = `2.38261` Chr`10` : `8,104,208`	0.087	0.912	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.000	0.914	0.086
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.085	0.914	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.085	0.915	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.081	0.919	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.061	0.920	0.019
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.078	0.921	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.077	0.923	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.075	0.925	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.074	0.926	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.072	0.928	0.000
rs12256830 lBF = `0.132379` Chr`10` : `55,384,743`	0.071	0.929	0.000
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rs877282 lBF = `-0.022452` Chr`10` : `771,532`	0.000	0.999	0.001
rs2387326 lBF = `-0.0245273` Chr`10` : `129,933,456`	0.000	0.999	0.001
rs11252394 lBF = `0.147192` Chr`10` : `4,240,870`	0.001	0.999	0.000
rs12722486 lBF = `0.138711` Chr`10` : `6,103,762`	0.001	0.999	0.000
rs2919009 lBF = `0.00963583` Chr`10` : `122,591,373`	0.001	0.999	0.000
rs146091982 lBF = `0.00023091` Chr`10` : `95,659,958`	0.001	0.999	0.000
rs61458523 lBF = `0.00046382` Chr`10` : `60,668,571`	0.001	0.999	0.001
rs3750716 lBF = `0.00008779` Chr`10` : `101,816,863`	0.001	0.999	0.000
rs76409888 lBF = `0.00006188` Chr`10` : `73,723,956`	0.001	0.999	0.000
rs7895372 lBF = `0.00002095` Chr`10` : `15,719,621`	0.001	0.999	0.000
rs1334893 lBF = `0.031193` Chr`10` : `27,693,305`	0.000	0.999	0.001
rs143362648 lBF = `0.00007062` Chr`10` : `21,694,219`	0.000	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
rs185636671 lBF = `0` Chr`10` : `135,172,794`	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
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
rs76850691 lBF = `0` Chr`10` : `101,157,438`	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
rs115553536 lBF = `0` Chr`10` : `31,981,385`	0.001	0.999	0.001
rs58600253 lBF = `0` Chr`10` : `64,507,904`	0.001	0.999	0.001
rs142973438 lBF = `0` Chr`10` : `95,315,999`	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
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
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
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
rs140682412 lBF = `0` Chr`10` : `89,332,706`	0.001	0.999	0.001
rs180858466 lBF = `0` Chr`10` : `38,761,238`	0.001	0.999	0.001
rs190045766 lBF = `0` Chr`10` : `120,643,886`	0.001	0.999	0.001
rs2388328 lBF = `-0.00002686` Chr`10` : `131,234,372`	0.001	0.999	0.000
rs10740609 lBF = `-0.108387` Chr`10` : `56,790,969`	0.000	0.999	0.001
rs12354486 lBF = `0.271372` Chr`10` : `104,124,055`	0.000	0.999	0.001
rs12768811 lBF = `0.0342091` Chr`10` : `33,474,751`	0.000	0.999	0.001
rs17783561 lBF = `0.00190076` Chr`10` : `110,971,435`	0.000	0.999	0.001
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
rs17666963 lBF = `0.812877` Chr`10` : `125,207,501`	0.000	0.999	0.001
rs12573070 lBF = `-0.00118281` Chr`10` : `15,085,073`	0.001	0.999	0.000
rs10824026 lBF = `0.0068493` Chr`10` : `75,421,208`	0.001	0.999	0.000
rs1258267 lBF = `0.0057688` Chr`10` : `50,895,770`	0.001	0.999	0.000
rs1417210 lBF = `-0.0288914` Chr`10` : `73,135,919`	0.001	0.999	0.000
rs10466239 lBF = `-0.0375921` Chr`10` : `43,849,827`	0.000	0.999	0.001
rs45631630 lBF = `6.07045` Chr`10` : `123,340,824`	0.001	0.999	0.000
rs7100689 lBF = `0.0440984` Chr`10` : `82,222,178`	0.000	0.999	0.001
rs11101730 lBF = `-0.0111725` Chr`10` : `135,197,336`	0.000	0.999	0.001
rs732998 lBF = `14.6898` Chr`10` : `104,897,901`	0.001	0.999	0.000
rs11595500 lBF = `1.70863` Chr`10` : `2,861,078`	0.001	0.999	0.000
rs143543475 lBF = `-0.0424106` Chr`10` : `27,708,029`	0.001	0.999	0.000
rs1219515 lBF = `3.43486` Chr`10` : `123,431,245`	0.001	0.999	0.000
rs41295115 lBF = `0.105064` Chr`10` : `6,124,621`	0.001	0.999	0.000
rs7070038 lBF = `-0.00056207` Chr`10` : `59,724,388`	0.001	0.999	0.000
rs10822184 lBF = `0.124511` Chr`10` : `65,337,153`	0.001	0.999	0.000
rs1555804 lBF = `0.00146244` Chr`10` : `23,393,066`	0.001	0.999	0.000
rs12356492 lBF = `13.57` Chr`10` : `9,038,357`	0.001	0.999	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.001	0.999	0.000
rs4748741 lBF = `0.117558` Chr`10` : `21,259,144`	0.001	0.999	0.000
rs73245065 lBF = `0.116166` Chr`10` : `30,899,291`	0.001	0.999	0.000
rs2104286 lBF = `0.0292395` Chr`10` : `6,099,045`	0.000	0.999	0.001
rs190509410 lBF = `-0.00168367` Chr`10` : `63,626,494`	0.001	0.999	0.000
rs9943451 lBF = `-0.00284123` Chr`10` : `7,070,570`	0.001	0.999	0.000
rs2250149 lBF = `-0.0455047` Chr`10` : `91,963,463`	0.001	0.999	0.000
rs978571 lBF = `0.00178102` Chr`10` : `108,414,764`	0.000	0.999	0.000
rs10906233 lBF = `0.0196802` Chr`10` : `12,875,208`	0.001	0.999	0.000
rs1074145 lBF = `3.13927` Chr`10` : `96,681,846`	0.000	0.999	0.001
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.000	0.999	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.001	0.999	0.000
rs11187842 lBF = `5.56677` Chr`10` : `96,052,511`	0.001	0.999	0.000
rs9804200 lBF = `0.31788` Chr`10` : `131,673,986`	0.000	0.999	0.001
rs16915157 lBF = `0.0253792` Chr`10` : `62,346,638`	0.000	0.999	0.001
rs6583954 lBF = `2.57148` Chr`10` : `96,534,263`	0.000	0.999	0.001
rs6586030 lBF = `0.00812419` Chr`10` : `82,254,047`	0.000	0.999	0.001
rs56103207 lBF = `6.54193` Chr`10` : `71,275,195`	0.000	0.999	0.001
rs2928402 lBF = `0.376166` Chr`10` : `50,018,165`	0.000	0.999	0.001
rs1937395 lBF = `0.159071` Chr`10` : `56,391,303`	0.000	0.999	0.001
rs7893600 lBF = `-0.00035735` Chr`10` : `23,434,744`	0.001	0.999	0.000
rs3824756 lBF = `0.064437` Chr`10` : `104,359,350`	0.001	0.999	0.000
rs4838508 lBF = `0.00049608` Chr`10` : `50,561,507`	0.000	0.999	0.000
rs12722489 lBF = `4.70914` Chr`10` : `6,102,012`	0.000	0.999	0.001
rs17147135 lBF = `-0.0358584` Chr`10` : `10,084,566`	0.001	0.999	0.000
rs4751674 lBF = `-0.0671879` Chr`10` : `116,139,029`	0.000	0.999	0.001
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.000	0.999	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.001	0.999	0.000
rs2219937 lBF = `-0.00490385` Chr`10` : `84,419,410`	0.001	0.999	0.000
rs17558301 lBF = `-0.0197576` Chr`10` : `25,880,459`	0.001	0.999	0.000
rs17515642 lBF = `-0.0621293` Chr`10` : `9,568,910`	0.000	0.999	0.001
rs1631281 lBF = `9.53385` Chr`10` : `123,390,785`	0.000	0.999	0.000
rs118048115 lBF = `0.00285925` Chr`10` : `122,279,476`	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 X0317

log Bayes Factor = 95.4365

contains 2 variants

0.9999

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7054

Cluster X0027

log Bayes Factor = 25.8087

contains 2 variants

0.6391

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4143

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.2061

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0252

log Bayes Factor = 170.729

contains 6 variants

1.0000

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

1.0000

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

1.0000

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9996

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9958

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9957

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9920

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9920

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9897

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9865

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9842

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9802

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9721

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9682

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9660

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9591

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9580

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9571

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9536

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9534

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9507

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9324

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9288

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9271

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9258

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9217

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9216

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9196

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8872

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8853

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8834

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8770

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8764

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8425

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8399

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8314

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8229

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8194

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8099

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8085

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8075

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8045

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7997

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7975

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7915

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7680

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7673

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7593

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7555

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7454

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7347

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7310

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7232

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7144

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7060

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7048

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6915

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6796

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6405

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6336

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6198

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6138

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.5980

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5924

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5755

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5619

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5417

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5376

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5266

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5177

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5128

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5106

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5045

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4687

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4638

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4476

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4287

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4240

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.4199

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4175

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3929

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3810

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3790

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3757

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3636

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3622

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3609

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3320

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3316

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3178

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3087

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2950

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2797

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2707

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2584

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2539

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2518

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2474

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2325

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2274

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2272

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2240

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2125

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2078

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2068

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2065

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2036

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1855

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1799

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1641

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1537

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1501

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1481

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1472

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1441

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1420

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1401

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1383

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1338

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1319

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1015

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1007

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1004

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0962

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.0941

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.0696

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0689

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0633

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0571

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0542

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0516

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`)