TreeWAS – [Z91.8] Personal history of other specified risk-factors, not elsewhere classified

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
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.771	0.229	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.678	0.322	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.677	0.322	0.000
rs80228232 lBF = `25.8823` Chr`5` : `131,388,213`	0.658	0.342	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.642	0.358	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.634	0.366	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.632	0.368	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.630	0.370	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.625	0.375	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.618	0.381	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.596	0.404	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.595	0.405	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.592	0.408	0.000
rs193141495 lBF = `1.83175` Chr`5` : `15,802,238`	0.579	0.421	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.568	0.432	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.563	0.437	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.562	0.438	0.000
rs7726354 lBF = `16.6785` Chr`5` : `56,256,483`	0.561	0.439	0.000
rs12109285 lBF = `4.39094` Chr`5` : `21,749,348`	0.547	0.453	0.000
rs6862844 lBF = `5.17727` Chr`5` : `124,365,967`	0.516	0.484	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.509	0.491	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.506	0.493	0.000
rs77780208 lBF = `5.21025` Chr`5` : `104,879,134`	0.493	0.506	0.000
rs7733624 lBF = `1.60888` Chr`5` : `104,467,115`	0.491	0.509	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.489	0.511	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.487	0.513	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.485	0.515	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.481	0.518	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.471	0.529	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.468	0.532	0.000
rs11134474 lBF = `6.22386` Chr`5` : `155,202,528`	0.466	0.534	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.464	0.536	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.455	0.544	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.452	0.548	0.000
rs310518 lBF = `6.1487` Chr`5` : `82,819,119`	0.450	0.550	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.427	0.573	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.426	0.574	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.421	0.579	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.416	0.584	0.000
rs62355904 lBF = `14.6667` Chr`5` : `56,056,471`	0.414	0.586	0.000
rs2255280 lBF = `1.07296` Chr`5` : `39,394,989`	0.000	0.589	0.411
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.397	0.603	0.000
rs35412 lBF = `14.5662` Chr`5` : `33,967,145`	0.391	0.609	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.388	0.611	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.377	0.623	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.375	0.625	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.373	0.627	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.364	0.636	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.353	0.646	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.353	0.646	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.351	0.648	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.321	0.679	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.318	0.682	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.310	0.690	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.308	0.692	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.303	0.697	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.299	0.701	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.295	0.705	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.295	0.705	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.295	0.705	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.294	0.706	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.287	0.713	0.000
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.283	0.716	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.282	0.718	0.000
rs189845032 lBF = `4.6421` Chr`5` : `66,373,884`	0.280	0.719	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.274	0.726	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.258	0.742	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.243	0.757	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.239	0.761	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.232	0.768	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.231	0.769	0.001
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.220	0.779	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.220	0.780	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.204	0.795	0.000
rs117041666 lBF = `0.22595` Chr`5` : `75,349,502`	0.193	0.807	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.187	0.813	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.182	0.818	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.176	0.823	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.173	0.826	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.170	0.829	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.170	0.830	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.167	0.833	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.163	0.836	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.145	0.854	0.001
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.143	0.857	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.139	0.860	0.001
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.137	0.863	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.136	0.864	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.130	0.870	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.119	0.881	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.118	0.881	0.001
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.117	0.882	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.110	0.890	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.110	0.890	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.108	0.891	0.001
rs115467216 lBF = `17.4437` Chr`5` : `121,359,965`	0.107	0.893	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.103	0.896	0.001
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.093	0.907	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.082	0.918	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.075	0.925	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.072	0.927	0.000
rs2229882 lBF = `21.8948` Chr`5` : `56,168,712`	0.072	0.928	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.069	0.931	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.064	0.936	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.060	0.939	0.001
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.057	0.943	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.051	0.949	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.049	0.951	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.047	0.952	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.041	0.958	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.036	0.964	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.036	0.964	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.036	0.964	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.035	0.965	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.033	0.967	0.000
rs2307111 lBF = `0.460057` Chr`5` : `75,003,678`	0.000	0.968	0.032
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.031	0.969	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.028	0.971	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.027	0.973	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.024	0.975	0.000
rs72813183 lBF = `0.972903` Chr`5` : `176,734,648`	0.024	0.976	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.023	0.976	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.022	0.977	0.000
rs74935252 lBF = `0.0234557` Chr`5` : `79,029,311`	0.022	0.978	0.000
rs76550486 lBF = `0.0837928` Chr`5` : `45,479,895`	0.015	0.984	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.015	0.984	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.014	0.986	0.000
rs75927821 lBF = `0.0883793` Chr`5` : `94,519,873`	0.014	0.986	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.013	0.987	0.000
rs114925849 lBF = `15.4352` Chr`5` : `108,554,590`	0.013	0.987	0.000
rs2973662 lBF = `0.0124314` Chr`5` : `167,210,472`	0.012	0.987	0.000
rs185237819 lBF = `0.0140932` Chr`5` : `78,044,910`	0.011	0.989	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.011	0.989	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.010	0.989	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.009	0.990	0.000
rs3822625 lBF = `12.3692` Chr`5` : `56,178,111`	0.008	0.992	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.008	0.992	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.008	0.992	0.000
rs116079955 lBF = `12.0849` Chr`5` : `127,696,604`	0.007	0.992	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.007	0.993	0.000
rs7725038 lBF = `8.19793` Chr`5` : `145,388,180`	0.007	0.993	0.000
rs2112347 lBF = `-0.0186404` Chr`5` : `75,015,242`	0.000	0.993	0.007
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.007	0.993	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.007	0.993	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.006	0.993	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.006	0.994	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.006	0.994	0.000
rs1017226 lBF = `12.4091` Chr`5` : `56,153,392`	0.006	0.994	0.000
rs7715172 lBF = `0.0067921` Chr`5` : `38,452,894`	0.006	0.994	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.006	0.994	0.000
rs16886448 lBF = `12.3207` Chr`5` : `56,170,813`	0.006	0.994	0.000
rs187769864 lBF = `0.00460436` Chr`5` : `151,012,313`	0.005	0.994	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.005	0.995	0.000
rs888789 lBF = `-0.0398286` Chr`5` : `74,988,369`	0.001	0.995	0.004
rs115525301 lBF = `14.6439` Chr`5` : `176,932,440`	0.005	0.995	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.005	0.995	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.005	0.995	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.005	0.995	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.004	0.995	0.000
rs267759 lBF = `0.0864647` Chr`5` : `36,137,620`	0.004	0.996	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.004	0.996	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.004	0.996	0.000
rs78975256 lBF = `0.00291702` Chr`5` : `120,216,037`	0.003	0.996	0.000
rs152784 lBF = `14.4221` Chr`5` : `132,772,431`	0.000	0.996	0.003
rs76295380 lBF = `6.62984` Chr`5` : `159,424,526`	0.003	0.996	0.000
rs17470137 lBF = `1.05279` Chr`5` : `122,531,347`	0.003	0.997	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.003	0.997	0.000
rs16886397 lBF = `12.2035` Chr`5` : `56,134,276`	0.002	0.997	0.000
rs188951355 lBF = `0.267959` Chr`5` : `142,933,351`	0.002	0.997	0.000
rs16886364 lBF = `12.9739` Chr`5` : `56,122,344`	0.002	0.997	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.002	0.998	0.000
rs74944275 lBF = `6.41827` Chr`5` : `102,726,073`	0.002	0.998	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.002	0.998	0.000
rs10044242 lBF = `7.21462` Chr`5` : `148,706,299`	0.002	0.998	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.002	0.998	0.000
rs7705924 lBF = `0.00027709` Chr`5` : `101,946,798`	0.002	0.998	0.000
rs141568462 lBF = `0.00176213` Chr`5` : `88,474,865`	0.002	0.998	0.000
rs2962508 lBF = `0.00203471` Chr`5` : `145,538,515`	0.002	0.998	0.000
rs3749779 lBF = `0.00281781` Chr`5` : `140,682,891`	0.000	0.998	0.002
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.002	0.998	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.000	0.998	0.002
rs55988457 lBF = `0.175974` Chr`5` : `96,949,073`	0.002	0.998	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.002	0.998	0.000
rs17155315 lBF = `0.00284331` Chr`5` : `102,759,658`	0.002	0.998	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.002	0.998	0.000
rs16897978 lBF = `0.0973954` Chr`5` : `28,696,504`	0.002	0.998	0.000
rs191199264 lBF = `0.00127413` Chr`5` : `151,400,700`	0.002	0.998	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.002	0.998	0.000
rs294039 lBF = `-0.117903` Chr`5` : `102,921,166`	0.002	0.998	0.000
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.002	0.998	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.001	0.998	0.000
rs151121608 lBF = `0.00140406` Chr`5` : `62,135,994`	0.001	0.998	0.000
rs1353747 lBF = `-0.0561023` Chr`5` : `58,337,481`	0.002	0.998	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.001	0.998	0.000
rs11959975 lBF = `0.00074545` Chr`5` : `9,902,829`	0.001	0.998	0.000
rs186292051 lBF = `0.010775` Chr`5` : `88,325,830`	0.000	0.998	0.001
rs9285640 lBF = `0.00076912` Chr`5` : `149,142,067`	0.001	0.998	0.000
rs12153391 lBF = `-0.0796401` Chr`5` : `171,203,438`	0.000	0.999	0.001
rs27323 lBF = `-0.023013` Chr`5` : `52,552,239`	0.001	0.999	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.001	0.999	0.000
rs185898158 lBF = `0.00080905` Chr`5` : `60,042,497`	0.001	0.999	0.000
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rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.001	0.999	0.000
rs38055 lBF = `-0.0108611` Chr`5` : `52,560,644`	0.001	0.999	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.001	0.999	0.000
rs12332430 lBF = `0.165453` Chr`5` : `147,550,297`	0.000	0.999	0.001
rs1549309 lBF = `-0.00709516` Chr`5` : `167,226,979`	0.001	0.999	0.000
rs27855 lBF = `-0.0484001` Chr`5` : `127,640,861`	0.001	0.999	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.001	0.999	0.000
rs9325081 lBF = `0.150395` Chr`5` : `147,551,346`	0.000	0.999	0.001
rs10476890 lBF = `0.148001` Chr`5` : `147,548,263`	0.000	0.999	0.001
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.000	0.999	0.000
rs7729458 lBF = `5.89518` Chr`5` : `2,799,100`	0.001	0.999	0.000
rs10065369 lBF = `0.100293` Chr`5` : `113,578,307`	0.000	0.999	0.001
rs10057405 lBF = `-0.0205564` Chr`5` : `127,653,022`	0.001	0.999	0.000
rs7446359 lBF = `1.46394` Chr`5` : `127,890,720`	0.001	0.999	0.000
rs12659622 lBF = `0.298408` Chr`5` : `15,618,181`	0.000	0.999	0.001
rs116348108 lBF = `0.0161325` Chr`5` : `118,435,127`	0.001	0.999	0.000
rs7734156 lBF = `0.00376144` Chr`5` : `115,733,805`	0.001	0.999	0.000
rs28450080 lBF = `-0.0331484` Chr`5` : `174,182,932`	0.000	0.999	0.000
rs1050152 lBF = `8.11355` Chr`5` : `131,676,320`	0.001	0.999	0.000
rs56399423 lBF = `7.85737` Chr`5` : `131,672,657`	0.001	0.999	0.000
rs11242661 lBF = `1.12971` Chr`5` : `107,401,451`	0.000	0.999	0.001
rs146128029 lBF = `0.0706599` Chr`5` : `111,547,762`	0.000	0.999	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.000	0.999	0.000
rs7733088 lBF = `0.124362` Chr`5` : `147,856,333`	0.000	0.999	0.001
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.000	0.999	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.000	0.999	0.000
rs1382879 lBF = `2.28212` Chr`5` : `76,521,868`	0.000	0.999	0.001
rs295688 lBF = `1.3418` Chr`5` : `73,716,118`	0.001	0.999	0.000
rs72749828 lBF = `0.651224` Chr`5` : `49,620,550`	0.001	0.999	0.000
rs7731390 lBF = `0.17345` Chr`5` : `131,721,749`	0.000	0.999	0.000
rs1644305 lBF = `0.140287` Chr`5` : `133,203,596`	0.001	0.999	0.000
rs1551943 lBF = `0.00230694` Chr`5` : `52,195,033`	0.001	0.999	0.000
rs13181561 lBF = `-0.00408182` Chr`5` : `138,850,905`	0.001	0.999	0.000
rs7702276 lBF = `-0.0938016` Chr`5` : `51,805,742`	0.000	0.999	0.001
rs1279750 lBF = `0.4058` Chr`5` : `180,595,138`	0.001	0.999	0.000
rs11949289 lBF = `0.0854263` Chr`5` : `28,340,173`	0.001	0.999	0.000
rs11748684 lBF = `-0.00237167` Chr`5` : `42,288,593`	0.000	0.999	0.000
rs891992 lBF = `-0.0145585` Chr`5` : `147,225,514`	0.000	0.999	0.001
rs13190655 lBF = `-0.0392499` Chr`5` : `152,438,213`	0.000	0.999	0.000
rs2009501 lBF = `-0.055136` Chr`5` : `10,159,541`	0.001	0.999	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.000	0.999	0.000
rs415051 lBF = `9.55047` Chr`5` : `64,356,359`	0.001	0.999	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.000	0.999	0.000
rs10065813 lBF = `0.0125386` Chr`5` : `152,940,405`	0.000	0.999	0.001
rs56163845 lBF = `-0.0439599` Chr`5` : `173,373,948`	0.000	0.999	0.001
rs17695092 lBF = `-0.0458557` Chr`5` : `173,337,853`	0.000	0.999	0.001
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.001	0.999	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.000	0.999	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.000	0.999	0.000
rs370763 lBF = `9.98734` Chr`5` : `64,355,060`	0.000	0.999	0.001
rs186749 lBF = `0.270734` Chr`5` : `122,454,305`	0.001	0.999	0.000
rs301901 lBF = `0.209644` Chr`5` : `37,046,626`	0.001	0.999	0.000
rs4866334 lBF = `0.0285378` Chr`5` : `18,483,651`	0.000	0.999	0.000
rs32579 lBF = `-0.0284086` Chr`5` : `149,210,848`	0.000	0.999	0.001
rs72810983 lBF = `-0.0428297` Chr`5` : `173,318,254`	0.000	0.999	0.001
rs1032859 lBF = `-0.0429051` Chr`5` : `118,641,300`	0.001	0.999	0.000
rs7705502 lBF = `-0.0442674` Chr`5` : `173,320,815`	0.000	0.999	0.001
rs6861681 lBF = `-0.0468646` Chr`5` : `173,362,458`	0.000	0.999	0.001
rs6885099 lBF = `2.47551` Chr`5` : `76,530,349`	0.000	0.999	0.001
rs2046045 lBF = `2.29536` Chr`5` : `76,535,811`	0.000	0.999	0.001
rs17418283 lBF = `0.0477803` Chr`5` : `94,154,588`	0.001	0.999	0.000
rs700585 lBF = `-0.00866862` Chr`5` : `88,152,117`	0.000	0.999	0.001
rs6869388 lBF = `-0.0960158` Chr`5` : `93,810,208`	0.000	0.999	0.001
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.000	0.999	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.000	0.999	0.000
rs4976646 lBF = `4.93307` Chr`5` : `176,788,570`	0.000	0.999	0.001
rs365132 lBF = `4.26745` Chr`5` : `176,378,574`	0.001	0.999	0.000
rs2073643 lBF = `2.28902` Chr`5` : `131,723,288`	0.001	0.999	0.000
rs1438949 lBF = `0.189024` Chr`5` : `152,504,929`	0.000	0.999	0.000
rs13176547 lBF = `0.16608` Chr`5` : `36,370,296`	0.000	0.999	0.000
rs10515457 lBF = `0.144687` Chr`5` : `132,650,871`	0.001	0.999	0.000
rs344650 lBF = `0.0649083` Chr`5` : `77,860,608`	0.000	0.999	0.000
rs7447927 lBF = `0.0151428` Chr`5` : `138,861,146`	0.001	0.999	0.000
rs6890783 lBF = `0.00693409` Chr`5` : `172,292,306`	0.000	0.999	0.000
rs12521868 lBF = `9.59663` Chr`5` : `131,784,393`	0.000	0.999	0.000
rs2188962 lBF = `9.41886` Chr`5` : `131,770,805`	0.000	0.999	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.000	0.999	0.000
rs11949055 lBF = `5.55169` Chr`5` : `131,576,737`	0.000	0.999	0.000
rs11743851 lBF = `1.96034` Chr`5` : `130,613,600`	0.000	0.999	0.000
rs4704397 lBF = `1.78613` Chr`5` : `76,518,442`	0.000	0.999	0.001
rs142432846 lBF = `0.0159399` Chr`5` : `155,655,407`	0.000	0.999	0.000
rs4705952 lBF = `-0.00912047` Chr`5` : `131,839,618`	0.001	0.999	0.000
rs337847 lBF = `-0.0317119` Chr`5` : `78,259,888`	0.000	0.999	0.001
rs13166814 lBF = `-0.0516787` Chr`5` : `117,337,753`	0.000	0.999	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.000	0.999	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.000	0.999	0.000
rs3846663 lBF = `8.28548` Chr`5` : `74,655,726`	0.000	0.999	0.000
rs266590 lBF = `7.55553` Chr`5` : `64,347,621`	0.000	0.999	0.001
rs78979090 lBF = `0.862664` Chr`5` : `119,679,448`	0.000	0.999	0.000
rs7447447 lBF = `0.398516` Chr`5` : `104,867,936`	0.000	0.999	0.000
rs76768179 lBF = `0.00263502` Chr`5` : `73,687,286`	0.000	0.999	0.000
rs2042329 lBF = `-0.0321032` Chr`5` : `64,067,752`	0.001	0.999	0.000
rs696888 lBF = `-0.0439554` Chr`5` : `60,898,157`	0.000	0.999	0.000
rs13156607 lBF = `-0.0472074` Chr`5` : `168,899,987`	0.000	0.999	0.001
rs10037512 lBF = `-0.0552794` Chr`5` : `88,354,675`	0.000	0.999	0.001
rs1366594 lBF = `-0.0593117` Chr`5` : `88,376,061`	0.000	0.999	0.001
rs6594713 lBF = `-0.0678141` Chr`5` : `112,715,374`	0.000	0.999	0.000
rs2416257 lBF = `-0.0872167` Chr`5` : `110,435,490`	0.000	0.999	0.000
rs7445608 lBF = `-0.110886` Chr`5` : `27,646,819`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.3269

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2301

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1137

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9832

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9609

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9218

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9144

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9129

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9099

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8769

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8370

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8341

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8173

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8098

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8032

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7986

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7967

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7852

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7742

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7273

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7246

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7168

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7168

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7163

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7162

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7150

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7149

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7142

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7141

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7140

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7130

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7113

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6952

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6929

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6901

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6867

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6858

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6851

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6778

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6770

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6748

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6656

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6608

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6579

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6509

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6401

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6396

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6389

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6382

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6276

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6036

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5861

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5825

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5730

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5691

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5608

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5560

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5144

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5132

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5093

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5078

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5037

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4756

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4742

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4733

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4141

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4078

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3761

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3740

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3640

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3372

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3207

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3173

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3150

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3058

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3054

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2987

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2726

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2685

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2578

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2361

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2328

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2315

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2263

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2052

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2038

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2024

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1867

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1672

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1660

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1634

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1607

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1511

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1360

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1326

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1311

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1225

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1213

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1210

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1188

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1172

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1167

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1160

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1156

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1137

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1044

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1026

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0976

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0875

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0822

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0806

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0800

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0799

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0751

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0731

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0663

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0621

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0542

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0519

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)