TreeWAS – [M23.51] Chronic instability of knee (Anterior cruciate ligament or Anterior horn of medial meniscus)

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
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.705	0.295	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.627	0.373	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.587	0.413	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.563	0.437	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.556	0.444	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.537	0.462	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.526	0.474	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.519	0.481	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.514	0.486	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.514	0.486	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.504	0.496	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.502	0.498	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.495	0.505	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.495	0.505	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.493	0.507	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.492	0.508	0.000
rs1631281 lBF = `9.53385` Chr`10` : `123,390,785`	0.490	0.509	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.489	0.510	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.489	0.511	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.479	0.521	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.456	0.543	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.447	0.553	0.000
rs41289279 lBF = `7.10619` Chr`10` : `988,262`	0.447	0.553	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.442	0.558	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.438	0.562	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.437	0.562	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.433	0.567	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.431	0.568	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.431	0.569	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.428	0.571	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.423	0.576	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.420	0.580	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.419	0.580	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.415	0.585	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.411	0.589	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.407	0.593	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.402	0.598	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.401	0.598	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.394	0.606	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.391	0.609	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.387	0.613	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.383	0.617	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.382	0.618	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.381	0.619	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.379	0.621	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.379	0.621	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.374	0.626	0.000
rs34773007 lBF = `1.15995` Chr`10` : `94,658,207`	0.373	0.627	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.371	0.629	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.365	0.635	0.000
rs10159528 lBF = `0.293277` Chr`10` : `87,485,417`	0.364	0.635	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.363	0.637	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.361	0.638	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.360	0.640	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.355	0.645	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.353	0.646	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.338	0.662	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.334	0.666	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.334	0.666	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.330	0.670	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.326	0.674	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.323	0.677	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.321	0.679	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.321	0.679	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.317	0.683	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.316	0.684	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.314	0.686	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.313	0.686	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.313	0.687	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.311	0.689	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.307	0.692	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.306	0.694	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.302	0.697	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.300	0.700	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.298	0.701	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.292	0.708	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.286	0.714	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.284	0.715	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.279	0.721	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.275	0.725	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.273	0.727	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.264	0.735	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.262	0.737	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.262	0.738	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.261	0.739	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.261	0.739	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.261	0.739	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.260	0.740	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.256	0.743	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.255	0.744	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.248	0.752	0.000
rs2994684 lBF = `0.594283` Chr`10` : `31,366,271`	0.247	0.753	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.238	0.762	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.232	0.767	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.231	0.769	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.230	0.770	0.000
rs190474885 lBF = `0.802771` Chr`10` : `104,973,317`	0.230	0.770	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.226	0.774	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.225	0.775	0.000
rs749141 lBF = `0.386351` Chr`10` : `130,369,490`	0.223	0.777	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.223	0.777	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.222	0.777	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.219	0.781	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.214	0.786	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.211	0.789	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.211	0.789	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.211	0.789	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.209	0.791	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.205	0.795	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.197	0.803	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.194	0.806	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.193	0.806	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.187	0.813	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.186	0.814	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.184	0.816	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.179	0.820	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.179	0.821	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.176	0.824	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.174	0.825	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.171	0.829	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.168	0.831	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.168	0.832	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.164	0.835	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.164	0.836	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.163	0.837	0.000
rs16920624 lBF = `0.24525` Chr`10` : `20,810,525`	0.163	0.837	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.162	0.838	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.161	0.839	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.159	0.840	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.159	0.841	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.158	0.842	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.156	0.844	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.155	0.844	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.155	0.845	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.154	0.846	0.000
rs4332428 lBF = `0.206544` Chr`10` : `4,965,434`	0.151	0.849	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.151	0.849	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.150	0.849	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.851	0.148
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.146	0.853	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.137	0.862	0.001
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.137	0.863	0.000
rs7086888 lBF = `0.616448` Chr`10` : `4,676,196`	0.136	0.863	0.001
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.133	0.867	0.001
rs117850870 lBF = `0.254485` Chr`10` : `50,523,748`	0.133	0.867	0.000
rs74157220 lBF = `0.126331` Chr`10` : `114,877,867`	0.130	0.870	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.130	0.870	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.129	0.871	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.128	0.872	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.127	0.872	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.126	0.874	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.126	0.874	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.124	0.876	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.122	0.877	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.118	0.881	0.000
rs11819199 lBF = `0.162575` Chr`10` : `20,865,157`	0.114	0.886	0.000
rs10794720 lBF = `0.062675` Chr`10` : `1,156,165`	0.112	0.888	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.111	0.889	0.001
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.110	0.890	0.000
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.109	0.891	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.108	0.891	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.102	0.897	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.102	0.898	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.102	0.898	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.100	0.900	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.095	0.904	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.095	0.905	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.095	0.905	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.090	0.910	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.089	0.910	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.088	0.912	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.088	0.912	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.085	0.915	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.083	0.917	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.082	0.918	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.082	0.918	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.081	0.919	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.076	0.923	0.001
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.076	0.923	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.074	0.926	0.001
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.073	0.927	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.068	0.932	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.066	0.932	0.002
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.065	0.935	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.064	0.935	0.001
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.063	0.936	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.063	0.937	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.059	0.940	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.059	0.940	0.001
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.057	0.942	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.054	0.946	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.049	0.951	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.048	0.952	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.047	0.952	0.001
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.046	0.954	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.045	0.955	0.000
rs17134585 lBF = `0.25215` Chr`10` : `5,256,272`	0.043	0.957	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.962	0.038
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.037	0.962	0.000
rs11188352 lBF = `0.055683` Chr`10` : `97,301,004`	0.036	0.964	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.035	0.965	0.001
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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
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
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
rs190671939 lBF = `0` Chr`10` : `134,909,987`	0.001	0.999	0.001
rs10796051 lBF = `0` Chr`10` : `13,310,071`	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
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
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
rs2388328 lBF = `-0.00002686` Chr`10` : `131,234,372`	0.001	0.999	0.000
rs2234962 lBF = `5.7409` Chr`10` : `121,429,633`	0.001	0.999	0.000
rs117063229 lBF = `0.00192729` Chr`10` : `28,755,262`	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`	0.000	0.999	0.001
rs114154155 lBF = `-0.00021094` Chr`10` : `63,185,662`	0.001	0.999	0.000
rs1278329 lBF = `-0.0660554` Chr`10` : `127,823,151`	0.001	0.999	0.000
rs73344830 lBF = `-0.0875975` Chr`10` : `103,816,828`	0.001	0.999	0.000
rs14168 lBF = `0.217798` Chr`10` : `53,455,562`	0.001	0.999	0.000
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.001	0.999	0.000
rs3135753 lBF = `0.0103539` Chr`10` : `123,280,658`	0.001	0.999	0.000
rs4752066 lBF = `0.00421547` Chr`10` : `119,227,342`	0.000	0.999	0.001
rs7070038 lBF = `-0.00056207` Chr`10` : `59,724,388`	0.001	0.999	0.000
rs2031573 lBF = `-0.0791368` Chr`10` : `4,001,897`	0.001	0.999	0.000
rs1927457 lBF = `0.312018` Chr`10` : `30,008,663`	0.000	0.999	0.001
rs190780914 lBF = `0.0153555` Chr`10` : `84,949,895`	0.001	0.999	0.000
rs10741210 lBF = `-0.0568954` Chr`10` : `131,984,312`	0.001	0.999	0.000
rs72791417 lBF = `0.903921` Chr`10` : `67,743,654`	0.001	0.999	0.000
rs1853207 lBF = `0.0578187` Chr`10` : `96,665,937`	0.001	0.999	0.000
rs10906466 lBF = `0.0432493` Chr`10` : `13,790,265`	0.001	0.999	0.000
rs79619559 lBF = `0.0123627` Chr`10` : `2,776,698`	0.001	0.999	0.000
rs11014306 lBF = `-0.0479017` Chr`10` : `25,224,462`	0.001	0.999	0.000
rs6602175 lBF = `0.16869` Chr`10` : `17,142,526`	0.001	0.999	0.000
rs10904887 lBF = `0.0480256` Chr`10` : `17,188,641`	0.001	0.999	0.000
rs117792039 lBF = `0.00043349` Chr`10` : `106,810,615`	0.001	0.999	0.000
rs10904180 lBF = `-0.0128213` Chr`10` : `4,137,661`	0.001	0.999	0.000
rs2431623 lBF = `-0.046306` Chr`10` : `12,872,880`	0.001	0.999	0.000
rs12245680 lBF = `5.20143` Chr`10` : `114,820,191`	0.000	0.999	0.001
rs11199914 lBF = `0.441538` Chr`10` : `123,093,901`	0.000	0.999	0.001
rs1258267 lBF = `0.0057688` Chr`10` : `50,895,770`	0.001	0.999	0.000
rs1555804 lBF = `0.00146244` Chr`10` : `23,393,066`	0.001	0.999	0.000
rs7912580 lBF = `-0.00031847` Chr`10` : `63,915,972`	0.001	0.999	0.000
rs2275540 lBF = `-0.00388721` Chr`10` : `128,797,717`	0.000	0.999	0.001
rs9804317 lBF = `-0.0348147` Chr`10` : `130,248,926`	0.001	0.999	0.000
rs1250540 lBF = `-0.0409655` Chr`10` : `81,036,007`	0.000	0.999	0.001
rs2893923 lBF = `-0.0443434` Chr`10` : `65,261,184`	0.001	0.999	0.000
rs11196181 lBF = `6.91775` Chr`10` : `114,749,018`	0.001	0.999	0.000
rs1084004 lBF = `0.297869` Chr`10` : `73,121,945`	0.001	0.999	0.000
rs12722486 lBF = `0.138711` Chr`10` : `6,103,762`	0.001	0.999	0.000
rs1536827 lBF = `0.00330861` Chr`10` : `135,306,158`	0.001	0.999	0.000
rs1250544 lBF = `-0.0393365` Chr`10` : `81,032,885`	0.000	0.999	0.001
rs2393967 lBF = `-0.0403757` Chr`10` : `65,133,156`	0.001	0.999	0.000
rs2790216 lBF = `-0.0414774` Chr`10` : `59,997,926`	0.000	0.999	0.001
rs2153283 lBF = `-0.0489038` Chr`10` : `59,972,299`	0.000	0.999	0.001
rs1199103 lBF = `-0.0521979` Chr`10` : `59,947,231`	0.000	0.999	0.001
rs118048115 lBF = `0.00285925` Chr`10` : `122,279,476`	0.001	0.999	0.000
rs9943451 lBF = `-0.00284123` Chr`10` : `7,070,570`	0.001	0.999	0.000
rs4143094 lBF = `-0.0347069` Chr`10` : `8,089,136`	0.001	0.999	0.000
rs12049671 lBF = `-0.0881859` Chr`10` : `129,737,631`	0.001	0.999	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.001	0.999	0.000
rs7079041 lBF = `0.114944` Chr`10` : `32,993,268`	0.001	0.999	0.000
rs1250542 lBF = `-0.0456127` Chr`10` : `81,034,670`	0.000	0.999	0.001
rs10509328 lBF = `-0.0541135` Chr`10` : `72,767,409`	0.000	0.999	0.001
rs732998 lBF = `14.6898` Chr`10` : `104,897,901`	0.001	0.999	0.000
rs978571 lBF = `0.00178102` Chr`10` : `108,414,764`	0.000	0.999	0.001
rs190509410 lBF = `-0.00168367` Chr`10` : `63,626,494`	0.000	0.999	0.000
rs114936111 lBF = `-0.0169099` Chr`10` : `79,430,143`	0.000	0.999	0.001
rs2801405 lBF = `-0.0559092` Chr`10` : `100,583,915`	0.001	0.999	0.000
rs17406680 lBF = `8.04849` Chr`10` : `9,208,204`	0.001	0.999	0.000
rs12570824 lBF = `7.11255` Chr`10` : `65,730,654`	0.001	0.999	0.000
rs2790232 lBF = `0.0453778` Chr`10` : `59,985,671`	0.001	0.999	0.000
rs1329650 lBF = `-0.0511447` Chr`10` : `93,348,120`	0.001	0.999	0.000
rs4917385 lBF = `-0.084733` Chr`10` : `105,003,721`	0.001	0.999	0.000
rs11191454 lBF = `12.1105` Chr`10` : `104,660,004`	0.001	0.999	0.000
rs17221323 lBF = `3.71226` Chr`10` : `618,685`	0.001	0.999	0.000
rs501764 lBF = `0.105366` Chr`10` : `8,093,034`	0.001	0.999	0.000
rs113793030 lBF = `0.0882916` Chr`10` : `72,046,860`	0.001	0.999	0.000
rs7893600 lBF = `-0.00035735` Chr`10` : `23,434,744`	0.000	0.999	0.000
rs16928529 lBF = `-0.00659431` Chr`10` : `72,982,985`	0.001	0.999	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.001	0.999	0.000
rs1923367 lBF = `0.0551079` Chr`10` : `81,132,829`	0.001	0.999	0.000
rs1799853 lBF = `0.0196419` Chr`10` : `96,702,047`	0.000	0.999	0.001
rs74122981 lBF = `0.00138068` Chr`10` : `14,790,203`	0.001	0.999	0.000
rs562188 lBF = `-0.0211467` Chr`10` : `120,744,955`	0.000	0.999	0.001
rs660498 lBF = `-0.0944825` Chr`10` : `27,740,959`	0.001	0.999	0.000
rs1704223 lBF = `27.0702` Chr`10` : `44,677,014`	0.001	0.999	0.000
rs11191548 lBF = `14.6368` Chr`10` : `104,846,178`	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 X0339

log Bayes Factor = 56.078

contains 2 variants

0.1432

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9749

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9582

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9473

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9398

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9331

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9327

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9292

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9285

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9257

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9207

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9198

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9173

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9161

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8954

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8937

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8895

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8741

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8618

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8521

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8468

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8369

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8180

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8146

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8035

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8033

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7921

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7899

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7895

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7845

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7813

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7693

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7610

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7602

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7599

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7478

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7396

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7221

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7191

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7110

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7043

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7014

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7008

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7004

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6993

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6944

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6943

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6921

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6911

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6826

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6737

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6735

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6713

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6690

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6689

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6687

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6671

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6668

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6550

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6534

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6510

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6491

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6471

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6438

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6391

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6385

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6376

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6364

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6358

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.6357

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6342

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6323

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.6275

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6220

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6204

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6101

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6034

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5895

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5895

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5877

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5810

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5795

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5773

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5764

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5654

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5573

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5563

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5533

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5532

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5435

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5433

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5162

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5100

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5082

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5070

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5053

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5026

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5024

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4994

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4937

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4854

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4811

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4806

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4698

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4628

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4512

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4448

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4436

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4407

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4399

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4269

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4200

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4087

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3943

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3871

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3828

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3653

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3625

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3606

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3379

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3263

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3258

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3192

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.3175

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3169

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3056

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2983

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2941

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2851

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2844

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2796

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2752

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2679

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2652

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2625

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2556

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2464

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2452

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2395

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2386

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2203

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2172

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2138

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2059

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1979

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1966

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1936

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1918

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1896

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1845

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1787

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1693

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1637

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1605

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1590

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1589

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1546

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1501

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.1495

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1414

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.1340

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1273

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1229

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1204

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1199

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1194

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1164

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1146

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1122

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1115

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1107

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1088

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1087

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1078

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1055

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0978

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0965

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0947

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0874

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0836

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0805

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0757

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0701

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0691

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0689

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0679

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0548

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`)