TreeWAS – [V18.0] Driver injured in nontraffic accident

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
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.758	0.242	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.694	0.306	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.689	0.311	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.689	0.311	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.625	0.375	0.000
rs116079955 lBF = `12.0849` Chr`5` : `127,696,604`	0.619	0.381	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.606	0.393	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.596	0.404	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.595	0.405	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.592	0.408	0.000
rs16867713 lBF = `3.5914` Chr`5` : `15,783,500`	0.564	0.436	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.559	0.441	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.554	0.446	0.000
rs17790731 lBF = `6.01635` Chr`5` : `94,983,529`	0.546	0.454	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.534	0.466	0.000
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.533	0.467	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.533	0.467	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.529	0.471	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.513	0.487	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.510	0.490	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.506	0.494	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.505	0.495	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.498	0.501	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.494	0.506	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.491	0.509	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.486	0.514	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.484	0.515	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.483	0.517	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.479	0.521	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.477	0.523	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.477	0.523	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.453	0.547	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.453	0.547	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.449	0.551	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.446	0.554	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.445	0.555	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.442	0.558	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.441	0.558	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.438	0.561	0.000
rs17513600 lBF = `7.68406` Chr`5` : `110,152,701`	0.437	0.563	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.432	0.568	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.431	0.569	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.427	0.572	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.422	0.578	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.420	0.580	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.417	0.583	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.414	0.586	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.411	0.589	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.410	0.590	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.409	0.591	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.407	0.593	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.404	0.595	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.402	0.598	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.399	0.601	0.000
rs77296444 lBF = `6.82713` Chr`5` : `116,055,432`	0.399	0.601	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.396	0.604	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.393	0.606	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.389	0.610	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.389	0.611	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.386	0.614	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.382	0.618	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.381	0.619	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.380	0.620	0.000
rs62355904 lBF = `14.6667` Chr`5` : `56,056,471`	0.379	0.621	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.379	0.621	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.378	0.622	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.377	0.623	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.373	0.627	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.369	0.631	0.000
rs72798117 lBF = `5.28699` Chr`5` : `107,325,940`	0.366	0.634	0.000
rs36000907 lBF = `5.41451` Chr`5` : `45,183,148`	0.365	0.634	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.364	0.635	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.364	0.635	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.364	0.636	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.363	0.637	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.363	0.637	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.362	0.638	0.000
rs56183335 lBF = `6.66881` Chr`5` : `141,474,886`	0.361	0.639	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.361	0.639	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.361	0.639	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.359	0.641	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.358	0.642	0.000
rs10044242 lBF = `7.21462` Chr`5` : `148,706,299`	0.358	0.642	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.356	0.643	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.354	0.645	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.353	0.647	0.000
rs745978 lBF = `1.85683` Chr`5` : `15,285,414`	0.353	0.647	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.352	0.647	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.351	0.649	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.351	0.649	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.349	0.651	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.346	0.653	0.000
rs310518 lBF = `6.1487` Chr`5` : `82,819,119`	0.346	0.654	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.345	0.655	0.000
rs7725038 lBF = `8.19793` Chr`5` : `145,388,180`	0.343	0.656	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.343	0.656	0.000
rs17132883 lBF = `3.40941` Chr`5` : `110,502,429`	0.343	0.657	0.000
rs11957407 lBF = `3.85379` Chr`5` : `31,917,242`	0.341	0.659	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.340	0.659	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.340	0.660	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.339	0.661	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.337	0.663	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.337	0.663	0.000
rs1370967 lBF = `2.26392` Chr`5` : `110,539,392`	0.336	0.664	0.000
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.336	0.664	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.334	0.666	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.334	0.666	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.333	0.667	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.333	0.667	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.333	0.667	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.332	0.667	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.332	0.668	0.000
rs77885874 lBF = `3.45781` Chr`5` : `125,848,356`	0.332	0.668	0.000
rs3756407 lBF = `7.30388` Chr`5` : `10,701,514`	0.330	0.669	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.325	0.674	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.324	0.676	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.323	0.677	0.000
rs80228232 lBF = `25.8823` Chr`5` : `131,388,213`	0.321	0.679	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.316	0.684	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.315	0.685	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.315	0.685	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.314	0.686	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.314	0.686	0.000
rs2255280 lBF = `1.07296` Chr`5` : `39,394,989`	0.000	0.688	0.311
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.311	0.689	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.309	0.690	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.309	0.690	0.000
rs11134474 lBF = `6.22386` Chr`5` : `155,202,528`	0.307	0.693	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.306	0.694	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.305	0.695	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.305	0.695	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.301	0.699	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.300	0.700	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.300	0.700	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.299	0.701	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.298	0.702	0.000
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.295	0.705	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.295	0.705	0.000
rs12109285 lBF = `4.39094` Chr`5` : `21,749,348`	0.293	0.706	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.291	0.708	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.290	0.710	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.288	0.711	0.000
rs189845032 lBF = `4.6421` Chr`5` : `66,373,884`	0.288	0.711	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.288	0.712	0.000
rs7733624 lBF = `1.60888` Chr`5` : `104,467,115`	0.286	0.714	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.286	0.714	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.285	0.714	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.284	0.715	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.282	0.718	0.000
rs17286571 lBF = `9.16223` Chr`5` : `139,387,793`	0.281	0.719	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.280	0.719	0.000
rs17167021 lBF = `4.28036` Chr`5` : `98,880,299`	0.278	0.722	0.000
rs6862844 lBF = `5.17727` Chr`5` : `124,365,967`	0.277	0.723	0.000
rs114694170 lBF = `1.13651` Chr`5` : `88,180,196`	0.275	0.725	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.274	0.726	0.000
rs79581221 lBF = `9.13228` Chr`5` : `81,379,394`	0.274	0.726	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.273	0.726	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.272	0.728	0.000
rs72807343 lBF = `1.90438` Chr`5` : `179,238,261`	0.270	0.729	0.000
rs28777 lBF = `6.09684` Chr`5` : `33,958,959`	0.270	0.730	0.000
rs77780208 lBF = `5.21025` Chr`5` : `104,879,134`	0.270	0.730	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.269	0.730	0.000
rs115467216 lBF = `17.4437` Chr`5` : `121,359,965`	0.268	0.732	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.266	0.734	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.265	0.734	0.000
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.265	0.735	0.000
rs115525301 lBF = `14.6439` Chr`5` : `176,932,440`	0.264	0.736	0.000
rs10070219 lBF = `0.959929` Chr`5` : `116,703,030`	0.264	0.736	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.263	0.736	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.262	0.737	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.261	0.739	0.000
rs76295380 lBF = `6.62984` Chr`5` : `159,424,526`	0.261	0.739	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.261	0.739	0.000
rs35391 lBF = `10.1345` Chr`5` : `33,955,673`	0.258	0.742	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.256	0.743	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.253	0.747	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.252	0.748	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.251	0.749	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.248	0.752	0.000
rs4388249 lBF = `1.42612` Chr`5` : `109,036,066`	0.247	0.753	0.000
rs35390 lBF = `9.53908` Chr`5` : `33,955,326`	0.247	0.753	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.246	0.753	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.246	0.754	0.001
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.245	0.755	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.245	0.755	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.244	0.755	0.000
rs7729458 lBF = `5.89518` Chr`5` : `2,799,100`	0.243	0.756	0.000
rs115154880 lBF = `8.20092` Chr`5` : `43,883,949`	0.243	0.757	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.241	0.758	0.000
rs114925849 lBF = `15.4352` Chr`5` : `108,554,590`	0.241	0.758	0.001
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.241	0.758	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.241	0.758	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.241	0.759	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.240	0.760	0.000
rs17545824 lBF = `6.53432` Chr`5` : `110,877,600`	0.240	0.760	0.000
rs35412 lBF = `14.5662` Chr`5` : `33,967,145`	0.239	0.761	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.236	0.763	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.236	0.764	0.000
rs35407 lBF = `7.00446` Chr`5` : `33,946,571`	0.235	0.764	0.000
rs193141495 lBF = `1.83175` Chr`5` : `15,802,238`	0.233	0.767	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.231	0.768	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.231	0.768	0.001
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rs12652255 lBF = `-0.0423304` Chr`5` : `174,761,095`	0.003	0.997	0.000
rs6594713 lBF = `-0.0678141` Chr`5` : `112,715,374`	0.003	0.997	0.000
rs7379133 lBF = `0.534615` Chr`5` : `2,149,210`	0.002	0.997	0.001
rs78975256 lBF = `0.00291702` Chr`5` : `120,216,037`	0.002	0.997	0.000
rs16886165 lBF = `27.661` Chr`5` : `56,023,083`	0.000	0.997	0.003
rs4958351 lBF = `0.00051698` Chr`5` : `153,170,374`	0.003	0.997	0.000
rs10089 lBF = `-0.0113366` Chr`5` : `127,522,543`	0.003	0.997	0.000
rs13177918 lBF = `0.510666` Chr`5` : `149,825,870`	0.002	0.997	0.000
rs2047076 lBF = `-0.0401533` Chr`5` : `76,058,509`	0.002	0.997	0.000
rs16886181 lBF = `28.4213` Chr`5` : `56,029,243`	0.000	0.998	0.002
rs10039217 lBF = `0.0122467` Chr`5` : `175,178,875`	0.002	0.998	0.000
rs10056340 lBF = `1.53387` Chr`5` : `110,190,052`	0.002	0.998	0.000
rs186953828 lBF = `-0.082344` Chr`5` : `7,196,440`	0.000	0.998	0.002
rs2962508 lBF = `0.00203471` Chr`5` : `145,538,515`	0.002	0.998	0.000
rs1429606 lBF = `0.0164275` Chr`5` : `87,377,102`	0.002	0.998	0.000
rs7717823 lBF = `-0.088118` Chr`5` : `35,000,795`	0.002	0.998	0.000
rs17717876 lBF = `-0.0110706` Chr`5` : `158,473,367`	0.002	0.998	0.001
rs11952583 lBF = `2.33169` Chr`5` : `73,309,105`	0.000	0.998	0.002
rs409220 lBF = `0.0553879` Chr`5` : `143,422,945`	0.002	0.998	0.000
rs11134338 lBF = `0.00855625` Chr`5` : `8,983,721`	0.002	0.998	0.000
rs2161277 lBF = `-0.0496996` Chr`5` : `62,866,262`	0.002	0.998	0.000
rs11241261 lBF = `-0.0343856` Chr`5` : `113,395,481`	0.000	0.998	0.002
rs1229741 lBF = `-0.0927413` Chr`5` : `136,716,724`	0.000	0.998	0.002
rs10040989 lBF = `2.03436` Chr`5` : `137,573,725`	0.002	0.998	0.000
rs294039 lBF = `-0.117903` Chr`5` : `102,921,166`	0.002	0.998	0.000
rs17388425 lBF = `6.30555` Chr`5` : `158,824,174`	0.002	0.998	0.000
rs4702982 lBF = `-0.0380925` Chr`5` : `99,991,648`	0.002	0.998	0.000
rs57960711 lBF = `0.0055226` Chr`5` : `177,019,262`	0.000	0.998	0.002
rs7704641 lBF = `-0.0828155` Chr`5` : `5,260,683`	0.002	0.998	0.000
rs17155315 lBF = `0.00284331` Chr`5` : `102,759,658`	0.002	0.998	0.000
rs200113 lBF = `-0.0355359` Chr`5` : `8,652,870`	0.000	0.998	0.002
rs4703516 lBF = `0.960393` Chr`5` : `80,654,966`	0.002	0.998	0.000
rs11744848 lBF = `0.190815` Chr`5` : `57,137,499`	0.002	0.998	0.000
rs10040979 lBF = `0.139912` Chr`5` : `158,424,391`	0.002	0.998	0.000
rs71593329 lBF = `6.13045` Chr`5` : `158,620,079`	0.002	0.998	0.000
rs283610 lBF = `0.51738` Chr`5` : `73,248,512`	0.002	0.998	0.000
rs9765602 lBF = `0.00352735` Chr`5` : `35,426,631`	0.002	0.998	0.000
rs79643899 lBF = `0.0034936` Chr`5` : `35,429,449`	0.002	0.998	0.000
rs141568462 lBF = `0.00176213` Chr`5` : `88,474,865`	0.001	0.998	0.000
rs10061469 lBF = `0.135561` Chr`5` : `72,518,148`	0.002	0.998	0.000
rs59920395 lBF = `0.00344072` Chr`5` : `3,650,343`	0.002	0.998	0.000
rs12652364 lBF = `0.546793` Chr`5` : `30,836,079`	0.002	0.998	0.000
rs770189 lBF = `0.0133427` Chr`5` : `88,088,439`	0.002	0.998	0.000
rs710369 lBF = `0.0844632` Chr`5` : `87,095,250`	0.000	0.998	0.002
rs2471042 lBF = `-0.0241232` Chr`5` : `86,177,773`	0.000	0.998	0.002
rs75927821 lBF = `0.0883793` Chr`5` : `94,519,873`	0.002	0.998	0.000
rs10058621 lBF = `0.00354645` Chr`5` : `50,555,169`	0.002	0.998	0.000
rs11956923 lBF = `-0.0129752` Chr`5` : `100,576,281`	0.002	0.998	0.000
rs191199264 lBF = `0.00127413` Chr`5` : `151,400,700`	0.001	0.998	0.000
rs12153160 lBF = `-0.0176678` Chr`5` : `152,951,200`	0.002	0.998	0.000
rs2173226 lBF = `-0.0593203` Chr`5` : `2,724,362`	0.002	0.998	0.000
rs13360092 lBF = `0.00184566` Chr`5` : `50,529,175`	0.001	0.998	0.000
rs17135859 lBF = `-0.023551` Chr`5` : `112,996,654`	0.002	0.998	0.000
rs6892230 lBF = `0.00651094` Chr`5` : `65,139,764`	0.001	0.998	0.000
rs1373692 lBF = `6.77098` Chr`5` : `40,431,183`	0.002	0.998	0.000
rs606854 lBF = `0.00043378` Chr`5` : `134,572,229`	0.000	0.998	0.001
rs4699934 lBF = `-0.0285101` Chr`5` : `58,333,771`	0.000	0.998	0.002
rs4700319 lBF = `-0.0301668` Chr`5` : `58,333,808`	0.000	0.998	0.002
rs1498605 lBF = `-0.0307005` Chr`5` : `58,333,316`	0.000	0.998	0.002
rs1823068 lBF = `0.0273965` Chr`5` : `58,676,049`	0.002	0.998	0.000
rs151121608 lBF = `0.00140406` Chr`5` : `62,135,994`	0.001	0.998	0.000
rs17617068 lBF = `-0.0745018` Chr`5` : `179,168,097`	0.002	0.998	0.000
rs116454070 lBF = `9.0186` Chr`5` : `101,837,362`	0.001	0.998	0.000
rs9292777 lBF = `6.89732` Chr`5` : `40,437,948`	0.002	0.998	0.000
rs138206701 lBF = `0.0461341` Chr`5` : `80,406,566`	0.001	0.998	0.000
rs116348108 lBF = `0.0161325` Chr`5` : `118,435,127`	0.001	0.998	0.000
rs11959975 lBF = `0.00074545` Chr`5` : `9,902,829`	0.001	0.998	0.000
rs6893300 lBF = `-0.0621047` Chr`5` : `179,135,815`	0.001	0.998	0.000
rs10061074 lBF = `0.0264075` Chr`5` : `174,132,754`	0.001	0.999	0.000
rs2940479 lBF = `6.80075` Chr`5` : `175,002,424`	0.001	0.999	0.000
rs275456 lBF = `-0.0553094` Chr`5` : `6,813,937`	0.001	0.999	0.000
rs2910124 lBF = `0.0474589` Chr`5` : `177,808,675`	0.001	0.999	0.000
rs76314368 lBF = `-0.00009115` Chr`5` : `116,492,833`	0.001	0.999	0.000
rs17614462 lBF = `-0.0246995` Chr`5` : `16,913,855`	0.001	0.999	0.000
rs526231 lBF = `2.93815` Chr`5` : `102,681,381`	0.000	0.999	0.001
rs146579248 lBF = `0.0597844` Chr`5` : `127,382,302`	0.001	0.999	0.000
rs295688 lBF = `1.3418` Chr`5` : `73,716,118`	0.001	0.999	0.000
rs11740562 lBF = `0.0704339` Chr`5` : `156,942,285`	0.000	0.999	0.001
rs6890783 lBF = `0.00693409` Chr`5` : `172,292,306`	0.001	0.999	0.000
rs111426949 lBF = `-0.00985711` Chr`5` : `10,512,697`	0.000	0.999	0.001
rs114403726 lBF = `-0.00106192` Chr`5` : `154,056,080`	0.001	0.999	0.000
rs11960179 lBF = `-0.0573151` Chr`5` : `67,820,217`	0.001	0.999	0.000
rs12520016 lBF = `0.00371932` Chr`5` : `6,767,312`	0.001	0.999	0.000
rs9313296 lBF = `0.0323376` Chr`5` : `165,377,699`	0.001	0.999	0.000
rs9293741 lBF = `-0.0419068` Chr`5` : `77,624,014`	0.001	0.999	0.000
rs10074959 lBF = `-0.0656116` Chr`5` : `104,208,013`	0.000	0.999	0.001
rs6896969 lBF = `7.20807` Chr`5` : `40,424,426`	0.001	0.999	0.000
rs2194025 lBF = `0.712313` Chr`5` : `87,798,236`	0.001	0.999	0.000
rs114092250 lBF = `-0.012155` Chr`5` : `35,494,448`	0.001	0.999	0.000
rs396045 lBF = `-0.133943` Chr`5` : `25,841,613`	0.000	0.999	0.001
rs11745587 lBF = `7.29696` Chr`5` : `131,796,922`	0.001	0.999	0.000
rs9285640 lBF = `0.00076912` Chr`5` : `149,142,067`	0.001	0.999	0.000
rs10054413 lBF = `-0.0331421` Chr`5` : `88,605,629`	0.000	0.999	0.001
rs58873874 lBF = `0.0624033` Chr`5` : `156,945,148`	0.000	0.999	0.001
rs186147679 lBF = `0.00723702` Chr`5` : `93,709,122`	0.001	0.999	0.000
rs185898158 lBF = `0.00080905` Chr`5` : `60,042,497`	0.001	0.999	0.000
rs6893858 lBF = `-0.00268112` Chr`5` : `142,080,085`	0.001	0.999	0.000
rs13181561 lBF = `-0.00408182` Chr`5` : `138,850,905`	0.000	0.999	0.001
rs13161895 lBF = `0.119584` Chr`5` : `179,471,201`	0.000	0.999	0.001
rs2122554 lBF = `-0.00974014` Chr`5` : `165,957,086`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3297

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9161

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9084

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8957

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8750

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8546

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8444

Cluster X0027

log Bayes Factor = 25.8087

contains 2 variants

0.8376

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8287

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8267

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8238

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8234

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8168

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7884

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7487

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7133

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7007

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6753

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6679

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6610

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6578

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6458

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6331

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6149

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6054

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5970

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5961

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5827

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5319

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5270

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4662

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4530

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4495

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4393

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4240

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4189

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4120

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4112

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3974

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3955

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3903

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3876

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3851

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3829

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3761

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3742

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3708

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3657

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3631

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3618

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3494

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3494

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3481

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3371

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3342

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3325

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3285

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3070

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3015

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2998

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2960

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2930

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2829

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2801

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2782

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2714

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2709

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2705

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2700

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2627

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2506

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2398

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2373

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2370

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2367

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2235

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2203

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2182

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2177

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2164

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2147

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2091

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2076

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2076

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1977

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1969

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1928

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1782

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1750

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1741

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1721

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1716

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1656

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1634

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1546

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1488

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1471

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1440

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1426

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1418

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1398

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1395

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1383

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1344

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1322

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1284

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1282

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1177

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1167

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1072

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1021

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1013

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1000

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0998

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0994

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0951

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0837

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0836

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0833

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0824

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0819

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0787

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0782

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0761

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0748

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0737

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0717

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0708

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0681

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0672

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0617

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0614

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0561

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0554

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0552

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0533

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0524

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0517

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0512

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`)