TreeWAS – [R93.8] Abnormal findings on diagnostic imaging of other specified body structures

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
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.765	0.235	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.739	0.261	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.707	0.293	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.690	0.310	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.656	0.344	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.646	0.354	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.634	0.366	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.618	0.382	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.615	0.385	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.607	0.393	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.566	0.434	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.555	0.445	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.549	0.451	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.544	0.455	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.544	0.456	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.542	0.458	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.532	0.468	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.518	0.482	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.516	0.484	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.513	0.486	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.513	0.486	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.511	0.489	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.510	0.489	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.508	0.492	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.501	0.499	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.493	0.506	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.488	0.511	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.484	0.516	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.483	0.517	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.481	0.519	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.460	0.540	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.459	0.541	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.454	0.545	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.450	0.549	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.447	0.553	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.447	0.553	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.431	0.569	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.425	0.575	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.422	0.578	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.419	0.580	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.406	0.593	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.397	0.603	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.396	0.604	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.392	0.608	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.372	0.628	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.366	0.634	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.365	0.635	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.357	0.642	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.349	0.651	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.349	0.651	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.341	0.659	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.339	0.661	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.331	0.669	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.328	0.672	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.327	0.673	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.324	0.676	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.322	0.678	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.321	0.679	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.320	0.680	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.319	0.681	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.315	0.685	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.313	0.687	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.312	0.688	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.308	0.691	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.306	0.694	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.304	0.696	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.303	0.697	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.302	0.698	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.301	0.699	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.292	0.708	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.289	0.710	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.281	0.718	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.280	0.720	0.000
rs73338448 lBF = `13.7418` Chr`10` : `99,882,156`	0.273	0.727	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.271	0.729	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.271	0.729	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.270	0.730	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.266	0.734	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.254	0.746	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.250	0.750	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.246	0.754	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.235	0.765	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.234	0.766	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.231	0.769	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.227	0.773	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.223	0.777	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.219	0.781	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.208	0.791	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.207	0.793	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.207	0.793	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.202	0.798	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.198	0.801	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.191	0.809	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.189	0.811	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.188	0.811	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.179	0.820	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.179	0.821	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.173	0.827	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.166	0.834	0.000
rs80312298 lBF = `0.33808` Chr`10` : `131,481,273`	0.160	0.840	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.157	0.843	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.156	0.843	0.001
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.150	0.850	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.145	0.855	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.856	0.143
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.143	0.857	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.139	0.861	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.133	0.867	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.128	0.872	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.123	0.876	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.112	0.888	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.110	0.889	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.101	0.899	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.098	0.901	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.098	0.901	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.095	0.904	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.089	0.911	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.079	0.920	0.001
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.076	0.924	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.075	0.925	0.001
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.074	0.926	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.073	0.926	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.072	0.928	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.071	0.929	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.068	0.932	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.067	0.933	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.066	0.934	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.058	0.942	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.056	0.944	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.053	0.947	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.950	0.049
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.048	0.952	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.047	0.953	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.042	0.958	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.042	0.958	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.040	0.959	0.001
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.039	0.960	0.001
rs4608000 lBF = `0.0297793` Chr`10` : `109,510,095`	0.000	0.961	0.039
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.038	0.962	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.037	0.962	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.032	0.968	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.029	0.970	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.026	0.974	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.024	0.975	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.024	0.976	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.023	0.976	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.023	0.977	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.023	0.977	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.021	0.979	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.020	0.980	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.020	0.980	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.020	0.980	0.000
rs4980079 lBF = `-0.0147738` Chr`10` : `81,194,219`	0.020	0.980	0.000
rs10788160 lBF = `19.1751` Chr`10` : `123,033,549`	0.019	0.980	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.019	0.981	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.019	0.981	0.000
rs11199874 lBF = `17.2829` Chr`10` : `123,032,519`	0.019	0.981	0.000
rs224090 lBF = `0.0132165` Chr`10` : `64,541,319`	0.018	0.982	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.016	0.984	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.015	0.985	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.014	0.985	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.013	0.987	0.000
rs7902334 lBF = `0.015734` Chr`10` : `12,645,941`	0.013	0.987	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.013	0.987	0.000
rs116940348 lBF = `13.3076` Chr`10` : `22,581,581`	0.012	0.987	0.000
rs10823607 lBF = `0.0203706` Chr`10` : `72,500,763`	0.000	0.987	0.013
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.012	0.988	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.011	0.989	0.000
rs1250307 lBF = `0.0215103` Chr`10` : `31,495,974`	0.009	0.990	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.009	0.991	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.008	0.992	0.001
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.008	0.992	0.000
rs7896600 lBF = `8.72865` Chr`10` : `12,255,175`	0.000	0.992	0.008
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.007	0.993	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.007	0.993	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.005	0.994	0.001
rs211257 lBF = `0.00755114` Chr`10` : `32,280,291`	0.000	0.994	0.006
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.006	0.994	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.006	0.994	0.000
rs7915008 lBF = `12.4533` Chr`10` : `123,025,225`	0.006	0.994	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.005	0.994	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.005	0.994	0.000
rs139550538 lBF = `0.0321346` Chr`10` : `94,284,069`	0.005	0.994	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.005	0.995	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.005	0.995	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.005	0.995	0.000
rs192858301 lBF = `0.00606176` Chr`10` : `24,071,006`	0.005	0.995	0.000
rs76407406 lBF = `24.9841` Chr`10` : `8,944,052`	0.000	0.995	0.005
rs583012 lBF = `-0.00901107` Chr`10` : `55,294,874`	0.005	0.995	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.005	0.995	0.000
rs12221133 lBF = `7.50515` Chr`10` : `12,253,597`	0.000	0.995	0.005
Affx-2643209 lBF = `10.2281` Chr`10` : `123,081,100`	0.005	0.995	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.005	0.995	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.004	0.995	0.000
rs17601696 lBF = `0.263335` Chr`10` : `123,120,036`	0.000	0.996	0.004
rs2814331 lBF = `1.52895` Chr`10` : `87,993,341`	0.004	0.996	0.000
rs2485376 lBF = `0.0715754` Chr`10` : `104,050,006`	0.004	0.996	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.004	0.996	0.000
rs10776612 lBF = `-0.0797746` Chr`10` : `49,735,563`	0.000	0.996	0.004
rs501764 lBF = `0.105366` Chr`10` : `8,093,034`	0.000	0.996	0.004
rs7081147 lBF = `-0.0959616` Chr`10` : `87,211,117`	0.004	0.996	0.000
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rs12573070 lBF = `-0.00118281` Chr`10` : `15,085,073`	0.001	0.999	0.000
rs34674354 lBF = `-0.0143305` Chr`10` : `59,367,396`	0.001	0.999	0.000
rs6480463 lBF = `-0.0527356` Chr`10` : `72,517,837`	0.000	0.999	0.001
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.001	0.999	0.000
rs10900020 lBF = `0.514056` Chr`10` : `44,827,197`	0.000	0.999	0.001
rs10508503 lBF = `-0.00975954` Chr`10` : `16,299,951`	0.001	0.999	0.000
rs56322409 lBF = `-0.0213827` Chr`10` : `97,395,962`	0.000	0.999	0.001
rs7070678 lBF = `0.0747435` Chr`10` : `29,812,602`	0.001	0.999	0.000
rs79619559 lBF = `0.0123627` Chr`10` : `2,776,698`	0.000	0.999	0.001
rs1997066 lBF = `0.0101851` Chr`10` : `106,763,563`	0.001	0.999	0.000
rs12411769 lBF = `-0.0125823` Chr`10` : `124,969,001`	0.000	0.999	0.001
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.001	0.999	0.000
rs4509693 lBF = `1.25649` Chr`10` : `102,501,571`	0.001	0.999	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.001	0.999	0.000
rs9943451 lBF = `-0.00284123` Chr`10` : `7,070,570`	0.000	0.999	0.000
rs11017221 lBF = `-0.0459045` Chr`10` : `132,168,065`	0.001	0.999	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.001	0.999	0.000
rs1555804 lBF = `0.00146244` Chr`10` : `23,393,066`	0.000	0.999	0.000
rs4838508 lBF = `0.00049608` Chr`10` : `50,561,507`	0.000	0.999	0.000
rs61860854 lBF = `-0.00330457` Chr`10` : `61,339,893`	0.001	0.999	0.000
rs12258967 lBF = `5.1391` Chr`10` : `18,727,959`	0.001	0.999	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.000	0.999	0.001
rs10128443 lBF = `-0.00546785` Chr`10` : `59,422,427`	0.000	0.999	0.001
rs4451621 lBF = `-0.0700237` Chr`10` : `12,431,367`	0.000	0.999	0.001
rs10998035 lBF = `0.487248` Chr`10` : `70,014,230`	0.001	0.999	0.000
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.001	0.999	0.000
rs4748741 lBF = `0.117558` Chr`10` : `21,259,144`	0.001	0.999	0.000
rs1334893 lBF = `0.031193` Chr`10` : `27,693,305`	0.001	0.999	0.000
rs10906824 lBF = `-0.00668787` Chr`10` : `15,128,969`	0.000	0.999	0.001
rs4143094 lBF = `-0.0347069` Chr`10` : `8,089,136`	0.000	0.999	0.001
rs11008099 lBF = `-0.0572807` Chr`10` : `30,834,632`	0.000	0.999	0.001
rs190474885 lBF = `0.802771` Chr`10` : `104,973,317`	0.001	0.999	0.000
rs10508558 lBF = `0.0230532` Chr`10` : `18,388,434`	0.000	0.999	0.001
rs1439466 lBF = `15.9754` Chr`10` : `122,654,969`	0.001	0.999	0.000
rs1171606 lBF = `0.0625205` Chr`10` : `61,434,519`	0.000	0.999	0.001
rs596406 lBF = `0.00095232` Chr`10` : `11,224,665`	0.001	0.999	0.000
rs7893600 lBF = `-0.00035735` Chr`10` : `23,434,744`	0.000	0.999	0.000
rs6560749 lBF = `-0.0155448` Chr`10` : `1,676,531`	0.000	0.999	0.001
rs75933965 lBF = `15.1264` Chr`10` : `114,749,421`	0.000	0.999	0.000
rs3824662 lBF = `2.38261` Chr`10` : `8,104,208`	0.001	0.999	0.000
rs7086888 lBF = `0.616448` Chr`10` : `4,676,196`	0.000	0.999	0.001
rs716595 lBF = `-0.0190725` Chr`10` : `112,006,486`	0.000	0.999	0.001
rs7893279 lBF = `-0.0308261` Chr`10` : `18,745,105`	0.000	0.999	0.001
rs1678618 lBF = `-0.0369254` Chr`10` : `73,806,288`	0.000	0.999	0.001
rs12571093 lBF = `-0.0607186` Chr`10` : `70,019,371`	0.001	0.999	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.001	0.999	0.000
rs788076 lBF = `0.0216288` Chr`10` : `29,336,849`	0.001	0.999	0.000
rs11006464 lBF = `0.00366423` Chr`10` : `61,146,582`	0.000	0.999	0.001
rs74122981 lBF = `0.00138068` Chr`10` : `14,790,203`	0.001	0.999	0.000
rs75768999 lBF = `-0.100724` Chr`10` : `61,690,195`	0.001	0.999	0.000
rs7100025 lBF = `-0.120739` Chr`10` : `37,592,538`	0.000	0.999	0.001
rs11001819 lBF = `0.279054` Chr`10` : `78,315,224`	0.000	0.999	0.001
rs10466033 lBF = `0.0195016` Chr`10` : `76,703,006`	0.000	0.999	0.000
rs2497442 lBF = `-0.00598863` Chr`10` : `7,216,979`	0.001	0.999	0.000
rs10788251 lBF = `-0.0162606` Chr`10` : `123,901,964`	0.000	0.999	0.001
rs7090445 lBF = `-0.101499` Chr`10` : `63,721,176`	0.001	0.999	0.000
rs12722561 lBF = `3.48191` Chr`10` : `6,069,893`	0.000	0.999	0.001
rs2505083 lBF = `1.47494` Chr`10` : `30,335,122`	0.001	0.999	0.000
rs74157220 lBF = `0.126331` Chr`10` : `114,877,867`	0.000	0.999	0.000
rs190509410 lBF = `-0.00168367` Chr`10` : `63,626,494`	0.000	0.999	0.000
rs740363 lBF = `-0.108628` Chr`10` : `118,575,606`	0.001	0.999	0.000
rs2804497 lBF = `0.0139986` Chr`10` : `33,616,037`	0.000	0.999	0.000
rs6585436 lBF = `-0.0127775` Chr`10` : `119,210,375`	0.000	0.999	0.001
rs2675609 lBF = `0.745021` Chr`10` : `63,636,531`	0.000	0.999	0.001
rs10159528 lBF = `0.293277` Chr`10` : `87,485,417`	0.000	0.999	0.001
rs10994607 lBF = `0.222887` Chr`10` : `62,760,742`	0.000	0.999	0.000
rs10508517 lBF = `0.0445313` Chr`10` : `16,997,891`	0.000	0.999	0.000
rs2901286 lBF = `0.0394912` Chr`10` : `122,900,623`	0.000	0.999	0.000
rs7097577 lBF = `-0.00315944` Chr`10` : `10,296,119`	0.000	0.999	0.000
rs140265971 lBF = `-0.0126799` Chr`10` : `59,311,903`	0.000	0.999	0.000
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.001	0.999	0.000
rs12780046 lBF = `1.06285` Chr`10` : `100,856,453`	0.000	0.999	0.001
rs2919009 lBF = `0.00963583` Chr`10` : `122,591,373`	0.001	0.999	0.000
rs10762058 lBF = `0.0047228` Chr`10` : `68,088,508`	0.000	0.999	0.000
rs118048115 lBF = `0.00285925` Chr`10` : `122,279,476`	0.000	0.999	0.001
rs144529734 lBF = `-0.00225426` Chr`10` : `107,407,316`	0.000	0.999	0.001
rs7914680 lBF = `-0.0672246` Chr`10` : `67,965,010`	0.000	0.999	0.001
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.000	0.999	0.000
rs12412391 lBF = `1.82555` Chr`10` : `101,288,935`	0.001	0.999	0.000
rs10509586 lBF = `1.09851` Chr`10` : `91,741,437`	0.001	0.999	0.000
rs2031577 lBF = `0.590296` Chr`10` : `4,050,003`	0.001	0.999	0.000
rs10905716 lBF = `0.420621` Chr`10` : `6,114,010`	0.000	0.999	0.001
rs76124550 lBF = `0.210383` Chr`10` : `114,386,739`	0.001	0.999	0.000
rs4933824 lBF = `0.00984168` Chr`10` : `83,819,125`	0.001	0.999	0.000
rs12098564 lBF = `-0.0022825` Chr`10` : `86,953,327`	0.000	0.999	0.000
rs3824789 lBF = `-0.0652544` Chr`10` : `98,800,099`	0.001	0.999	0.000
rs11250714 lBF = `-0.076509` Chr`10` : `1,702,581`	0.000	0.999	0.001
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.000	0.999	0.000
rs3824660 lBF = `4.51652` Chr`10` : `8,104,722`	0.000	0.999	0.001
rs10821944 lBF = `4.02916` Chr`10` : `63,785,089`	0.000	0.999	0.001
rs14168 lBF = `0.217798` Chr`10` : `53,455,562`	0.001	0.999	0.000
rs1329189 lBF = `0.121753` Chr`10` : `129,998,372`	0.000	0.999	0.001
rs2302105 lBF = `-0.0295432` Chr`10` : `117,824,888`	0.001	0.999	0.000
rs4919694 lBF = `-0.0314563` Chr`10` : `104,698,978`	0.001	0.999	0.000
rs10995439 lBF = `-0.0506971` Chr`10` : `64,866,912`	0.000	0.999	0.001
rs4838605 lBF = `-0.0952082` Chr`10` : `49,699,957`	0.000	0.999	0.001
rs61862866 lBF = `6.50007` Chr`10` : `112,541,676`	0.000	0.999	0.001
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.000	0.999	0.001

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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6011

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4796

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9957

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9898

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9726

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9690

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9608

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9608

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9591

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9504

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9315

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9220

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9204

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9180

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9178

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9120

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9117

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9092

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8981

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8876

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8787

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8678

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8582

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8535

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8453

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8384

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8284

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8248

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8215

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8130

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7979

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7783

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7762

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7648

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7507

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7497

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7473

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7356

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7241

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7178

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7157

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7071

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7005

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6914

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6496

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6463

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6365

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6257

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5860

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5729

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5571

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5544

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5507

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5286

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5279

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5210

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5050

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4883

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4851

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4721

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4717

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4616

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4208

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4078

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4074

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4003

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3939

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3932

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3845

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3329

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3312

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3252

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3143

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3030

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2989

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2954

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2808

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2453

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2445

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2231

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2223

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2192

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2182

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2050

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2009

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1968

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1925

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1770

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1720

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1624

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1568

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1443

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1399

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1305

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1299

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0986

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0969

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0914

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0867

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0826

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0799

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0763

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0737

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0719

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0697

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0652

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0637

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0635

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`)