TreeWAS – [M23.3] Other meniscus derangements

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
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.940	0.060	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.926	0.074	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.913	0.087	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.902	0.098	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.889	0.111	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.883	0.117	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.875	0.125	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.865	0.134	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.835	0.165	0.000
rs41289279 lBF = `7.10619` Chr`10` : `988,262`	0.830	0.170	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.827	0.173	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.813	0.187	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.797	0.203	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.786	0.214	0.000
rs2994684 lBF = `0.594283` Chr`10` : `31,366,271`	0.785	0.215	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.760	0.240	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.756	0.244	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.745	0.255	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.743	0.257	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.732	0.268	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.715	0.285	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.714	0.286	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.690	0.310	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.681	0.319	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.677	0.323	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.671	0.329	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.670	0.330	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.660	0.340	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.658	0.342	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.656	0.344	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.654	0.346	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.646	0.354	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.638	0.362	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.638	0.362	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.626	0.374	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.617	0.383	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.613	0.387	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.609	0.391	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.605	0.395	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.587	0.413	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.572	0.428	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.567	0.433	0.000
rs10159528 lBF = `0.293277` Chr`10` : `87,485,417`	0.566	0.434	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.557	0.443	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.542	0.457	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.534	0.466	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.526	0.474	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.518	0.482	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.506	0.494	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.505	0.495	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.487	0.513	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.487	0.513	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.479	0.521	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.471	0.529	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.468	0.532	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.459	0.541	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.459	0.541	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.454	0.546	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.447	0.553	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.439	0.561	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.429	0.571	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.429	0.571	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.428	0.572	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.424	0.575	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.418	0.582	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.415	0.585	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.414	0.586	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.407	0.593	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.401	0.599	0.000
rs190474885 lBF = `0.802771` Chr`10` : `104,973,317`	0.394	0.606	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.391	0.609	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.388	0.612	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.388	0.612	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.387	0.613	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.382	0.618	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.378	0.622	0.000
rs1631281 lBF = `9.53385` Chr`10` : `123,390,785`	0.365	0.635	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.362	0.638	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.359	0.641	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.356	0.644	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.355	0.645	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.351	0.649	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.343	0.656	0.000
rs7086888 lBF = `0.616448` Chr`10` : `4,676,196`	0.329	0.671	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.325	0.675	0.000
rs34773007 lBF = `1.15995` Chr`10` : `94,658,207`	0.321	0.678	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.320	0.680	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.319	0.681	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.314	0.686	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.313	0.687	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.310	0.690	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.308	0.691	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.301	0.699	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.278	0.722	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.278	0.722	0.000
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.278	0.722	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.274	0.726	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.269	0.731	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.251	0.749	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.249	0.751	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.238	0.762	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.233	0.767	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.231	0.769	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.230	0.769	0.001
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.228	0.771	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.227	0.773	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.226	0.774	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.226	0.774	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.224	0.776	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.222	0.777	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.222	0.778	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.783	0.217
rs4332428 lBF = `0.206544` Chr`10` : `4,965,434`	0.216	0.784	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.216	0.784	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.212	0.788	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.209	0.791	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.209	0.791	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.209	0.791	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.208	0.792	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.205	0.795	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.197	0.803	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.192	0.808	0.000
rs10794720 lBF = `0.062675` Chr`10` : `1,156,165`	0.191	0.809	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.189	0.811	0.000
rs117850870 lBF = `0.254485` Chr`10` : `50,523,748`	0.184	0.816	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.169	0.831	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.167	0.832	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.165	0.834	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.165	0.835	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.163	0.836	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.162	0.838	0.000
rs74157220 lBF = `0.126331` Chr`10` : `114,877,867`	0.162	0.838	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.159	0.840	0.001
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.159	0.841	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.158	0.842	0.000
rs8177757 lBF = `0.44589` Chr`10` : `6,027,721`	0.157	0.843	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.156	0.844	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.156	0.844	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.155	0.844	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.152	0.848	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.150	0.849	0.001
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.147	0.852	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.147	0.853	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.146	0.854	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.141	0.858	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.136	0.864	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.125	0.875	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.123	0.876	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.123	0.877	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.120	0.880	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.117	0.883	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.116	0.884	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.116	0.884	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.114	0.886	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.114	0.886	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.112	0.888	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.111	0.889	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.110	0.890	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.104	0.896	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.103	0.897	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.093	0.907	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.091	0.907	0.002
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.092	0.908	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.092	0.908	0.000
rs17134585 lBF = `0.25215` Chr`10` : `5,256,272`	0.092	0.908	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.090	0.909	0.001
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.085	0.915	0.000
rs749141 lBF = `0.386351` Chr`10` : `130,369,490`	0.083	0.917	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.081	0.918	0.001
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.080	0.920	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.076	0.924	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.075	0.924	0.001
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.074	0.926	0.000
rs16920624 lBF = `0.24525` Chr`10` : `20,810,525`	0.073	0.926	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.073	0.927	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.073	0.927	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.071	0.929	0.001
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.071	0.929	0.000
rs1832007 lBF = `0.20969` Chr`10` : `5,254,847`	0.066	0.934	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.064	0.935	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.063	0.937	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.062	0.938	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.059	0.941	0.000
rs2589559 lBF = `22.2778` Chr`10` : `9,061,370`	0.057	0.943	0.000
rs11188352 lBF = `0.055683` Chr`10` : `97,301,004`	0.056	0.944	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.056	0.944	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.053	0.946	0.001
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.054	0.946	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.052	0.948	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.949	0.051
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.050	0.949	0.001
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.049	0.951	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.048	0.952	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.048	0.952	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.047	0.952	0.001
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.045	0.955	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.040	0.960	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.040	0.960	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.039	0.961	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.036	0.964	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.035	0.965	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.000	0.967	0.033
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rs12251514 lBF = `0.0807815` Chr`10` : `52,259,794`	0.001	0.999	0.000
rs1258267 lBF = `0.0057688` Chr`10` : `50,895,770`	0.001	0.999	0.000
rs7893600 lBF = `-0.00035735` Chr`10` : `23,434,744`	0.000	0.999	0.000
rs144529734 lBF = `-0.00225426` Chr`10` : `107,407,316`	0.000	0.999	0.001
rs10994607 lBF = `0.222887` Chr`10` : `62,760,742`	0.000	0.999	0.000
rs41295115 lBF = `0.105064` Chr`10` : `6,124,621`	0.001	0.999	0.000
rs12260159 lBF = `0.0074723` Chr`10` : `100,702,737`	0.001	0.999	0.000
rs45479699 lBF = `-0.0031724` Chr`10` : `12,749,062`	0.000	0.999	0.001
rs2489715 lBF = `2.43101` Chr`10` : `42,917,476`	0.001	0.999	0.000
rs10762058 lBF = `0.0047228` Chr`10` : `68,088,508`	0.001	0.999	0.000
rs6560749 lBF = `-0.0155448` Chr`10` : `1,676,531`	0.001	0.999	0.000
rs1779876 lBF = `-0.046799` Chr`10` : `36,648,040`	0.000	0.999	0.001
rs11812286 lBF = `0.0466344` Chr`10` : `61,073,614`	0.001	0.999	0.000
rs10466033 lBF = `0.0195016` Chr`10` : `76,703,006`	0.001	0.999	0.000
rs79619559 lBF = `0.0123627` Chr`10` : `2,776,698`	0.000	0.999	0.000
rs1373004 lBF = `-0.0419312` Chr`10` : `54,427,825`	0.001	0.999	0.000
rs10508517 lBF = `0.0445313` Chr`10` : `16,997,891`	0.000	0.999	0.000
rs1923367 lBF = `0.0551079` Chr`10` : `81,132,829`	0.001	0.999	0.000
rs7901794 lBF = `0.0169418` Chr`10` : `64,877,938`	0.001	0.999	0.000
rs34674354 lBF = `-0.0143305` Chr`10` : `59,367,396`	0.001	0.999	0.000
rs10736877 lBF = `-0.090778` Chr`10` : `128,373,707`	0.001	0.999	0.000
rs10822013 lBF = `6.02374` Chr`10` : `64,251,977`	0.000	0.999	0.001
rs2648708 lBF = `0.473614` Chr`10` : `12,601,439`	0.001	0.999	0.000
rs7097577 lBF = `-0.00315944` Chr`10` : `10,296,119`	0.000	0.999	0.000
rs7913069 lBF = `-0.0049933` Chr`10` : `105,714,399`	0.001	0.999	0.000
rs12049671 lBF = `-0.0881859` Chr`10` : `129,737,631`	0.000	0.999	0.001
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.001	0.999	0.000
rs14168 lBF = `0.217798` Chr`10` : `53,455,562`	0.001	0.999	0.000
rs72796654 lBF = `-0.00998259` Chr`10` : `59,355,944`	0.001	0.999	0.000
rs11008099 lBF = `-0.0572807` Chr`10` : `30,834,632`	0.001	0.999	0.000
rs7094310 lBF = `0.0891915` Chr`10` : `6,791,034`	0.001	0.999	0.000
rs12249377 lBF = `-0.0454975` Chr`10` : `92,592,956`	0.001	0.999	0.000
rs2790232 lBF = `0.0453778` Chr`10` : `59,985,671`	0.000	0.999	0.000
rs12573070 lBF = `-0.00118281` Chr`10` : `15,085,073`	0.001	0.999	0.000
rs758569 lBF = `-0.0884805` Chr`10` : `119,193,153`	0.001	0.999	0.000
rs11196181 lBF = `6.91775` Chr`10` : `114,749,018`	0.001	0.999	0.000
rs726288 lBF = `-0.0128545` Chr`10` : `81,706,973`	0.000	0.999	0.000
rs58180147 lBF = `-0.0109599` Chr`10` : `69,943,634`	0.000	0.999	0.001
rs11010290 lBF = `-0.0432047` Chr`10` : `36,060,309`	0.000	0.999	0.001
rs61860854 lBF = `-0.00330457` Chr`10` : `61,339,893`	0.000	0.999	0.000
rs3923564 lBF = `-0.00467147` Chr`10` : `81,735,981`	0.000	0.999	0.000
rs143713361 lBF = `-0.0196716` Chr`10` : `32,625,018`	0.000	0.999	0.000
rs1934953 lBF = `-0.0518285` Chr`10` : `96,797,470`	0.001	0.999	0.000
rs10509680 lBF = `0.0254315` Chr`10` : `96,734,339`	0.001	0.999	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.000	1.000	0.000
rs12243039 lBF = `0.00641868` Chr`10` : `21,436,222`	0.000	1.000	0.000
rs2497442 lBF = `-0.00598863` Chr`10` : `7,216,979`	0.000	1.000	0.000
rs10882165 lBF = `-0.0980719` Chr`10` : `94,924,324`	0.000	1.000	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.000	1.000	0.000
rs640090 lBF = `0.0279972` Chr`10` : `95,392,585`	0.000	1.000	0.000
rs82625 lBF = `0.00501582` Chr`10` : `115,756,130`	0.000	1.000	0.000
rs9329300 lBF = `0.00450014` Chr`10` : `2,789,594`	0.000	1.000	0.000
rs75263140 lBF = `-0.00535354` Chr`10` : `12,702,569`	0.000	1.000	0.000
rs7078160 lBF = `-0.0559067` Chr`10` : `118,827,560`	0.000	1.000	0.000
rs7899106 lBF = `0.050152` Chr`10` : `87,410,904`	0.000	1.000	0.000
rs74400468 lBF = `0.0109656` Chr`10` : `43,592,809`	0.000	1.000	0.000
rs1678618 lBF = `-0.0369254` Chr`10` : `73,806,288`	0.000	1.000	0.000
rs10458771 lBF = `-0.0468789` Chr`10` : `88,162,238`	0.000	1.000	0.000
rs3781264 lBF = `0.023649` Chr`10` : `96,070,375`	0.000	1.000	0.000
rs17783561 lBF = `0.00190076` Chr`10` : `110,971,435`	0.000	1.000	0.000
rs10883832 lBF = `14.7721` Chr`10` : `104,871,279`	0.000	1.000	0.000
rs11191560 lBF = `14.7721` Chr`10` : `104,869,038`	0.000	1.000	0.000
rs17406680 lBF = `8.04849` Chr`10` : `9,208,204`	0.000	1.000	0.000
rs113793030 lBF = `0.0882916` Chr`10` : `72,046,860`	0.000	1.000	0.000
rs7911712 lBF = `-0.0237723` Chr`10` : `45,319,654`	0.000	1.000	0.000
rs7902708 lBF = `-0.0358989` Chr`10` : `54,439,728`	0.000	1.000	0.000
rs10741210 lBF = `-0.0568954` Chr`10` : `131,984,312`	0.000	1.000	0.000
rs6602203 lBF = `-0.125929` Chr`10` : `17,596,121`	0.000	1.000	0.000
rs2901286 lBF = `0.0394912` Chr`10` : `122,900,623`	0.000	1.000	0.000
rs1799853 lBF = `0.0196419` Chr`10` : `96,702,047`	0.000	1.000	0.000
rs2477664 lBF = `0.00420855` Chr`10` : `17,875,816`	0.000	1.000	0.000
rs6585436 lBF = `-0.0127775` Chr`10` : `119,210,375`	0.000	1.000	0.000
rs75933965 lBF = `15.1264` Chr`10` : `114,749,421`	0.000	1.000	0.000
rs11191593 lBF = `14.7448` Chr`10` : `104,939,215`	0.000	1.000	0.000
rs12722486 lBF = `0.138711` Chr`10` : `6,103,762`	0.000	1.000	0.000
rs2185570 lBF = `0.0165127` Chr`10` : `96,751,270`	0.000	1.000	0.000
rs2804497 lBF = `0.0139986` Chr`10` : `33,616,037`	0.000	1.000	0.000
rs7899719 lBF = `-0.0116649` Chr`10` : `77,448,435`	0.000	1.000	0.000
rs11013962 lBF = `-0.0773793` Chr`10` : `24,495,586`	0.000	1.000	0.000
rs11199874 lBF = `17.2829` Chr`10` : `123,032,519`	0.000	1.000	0.000
rs11255400 lBF = `0.097559` Chr`10` : `7,887,621`	0.000	1.000	0.000
rs2504183 lBF = `0.0809768` Chr`10` : `26,002,248`	0.000	1.000	0.000
rs9804317 lBF = `-0.0348147` Chr`10` : `130,248,926`	0.000	1.000	0.000
rs477692 lBF = `0.178769` Chr`10` : `131,426,022`	0.000	1.000	0.000
rs6480463 lBF = `-0.0527356` Chr`10` : `72,517,837`	0.000	1.000	0.000
rs7909670 lBF = `-0.0581948` Chr`10` : `12,918,764`	0.000	1.000	0.000
rs17490626 lBF = `22.8781` Chr`10` : `71,218,646`	0.000	1.000	0.000
rs732998 lBF = `14.6898` Chr`10` : `104,897,901`	0.000	1.000	0.000
rs11191454 lBF = `12.1105` Chr`10` : `104,660,004`	0.000	1.000	0.000
rs74383458 lBF = `0.301977` Chr`10` : `134,221,545`	0.000	1.000	0.000
rs1084004 lBF = `0.297869` Chr`10` : `73,121,945`	0.000	1.000	0.000
rs17154929 lBF = `0.00177234` Chr`10` : `44,524,675`	0.000	1.000	0.000
rs1417210 lBF = `-0.0288914` Chr`10` : `73,135,919`	0.000	1.000	0.000
rs11191548 lBF = `14.6368` Chr`10` : `104,846,178`	0.000	1.000	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.000	1.000	0.000
rs788076 lBF = `0.0216288` Chr`10` : `29,336,849`	0.000	1.000	0.000
rs10826334 lBF = `-0.0192554` Chr`10` : `61,380,482`	0.000	1.000	0.000
rs4558075 lBF = `-0.0649266` Chr`10` : `6,401,625`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9998

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9998

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9997

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9995

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9989

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9987

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9987

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9982

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.9979

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9973

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9971

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9962

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9940

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9939

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9907

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9865

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9839

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9785

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9673

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9672

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9635

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9632

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9630

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9491

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9486

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9472

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9439

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9433

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9431

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9417

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9354

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9321

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.9301

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9202

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9197

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9100

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9077

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8849

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.8820

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8724

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8657

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8645

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8462

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7934

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7759

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7252

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7048

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7044

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6943

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6786

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6728

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6399

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6299

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6223

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6149

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6128

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5836

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5539

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5505

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5333

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5188

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5098

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4998

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4956

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4577

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4428

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4348

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4297

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4116

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4069

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4041

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3986

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3725

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3715

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3715

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3648

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3647

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3640

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3581

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3548

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3492

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3327

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3248

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3211

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3182

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3172

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3062

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3012

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2976

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2942

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2533

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2530

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2529

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2529

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2527

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2426

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2422

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2410

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2350

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2300

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2211

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2193

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2187

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2187

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2130

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2029

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1854

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1803

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1765

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1753

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1706

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.1691

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1569

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1528

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1453

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1423

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1391

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.1247

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1184

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1148

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1140

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1073

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1072

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1017

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0991

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0971

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0776

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0757

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0754

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0739

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0734

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0719

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0715

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0713

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0703

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0685

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0668

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0668

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0667

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0627

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0557

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0552

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0526

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0521

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0507

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`)