TreeWAS – [G90.2] Horner's syndrome

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
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.774	0.226	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.767	0.233	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.766	0.234	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.764	0.236	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.762	0.238	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.758	0.242	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.754	0.246	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.750	0.250	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.748	0.252	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.732	0.268	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.728	0.272	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.725	0.275	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.720	0.280	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.713	0.287	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.712	0.288	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.711	0.289	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.711	0.289	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.709	0.291	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.704	0.296	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.702	0.298	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.696	0.304	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.689	0.311	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.688	0.312	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.682	0.317	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.678	0.322	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.677	0.322	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.674	0.326	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.672	0.328	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.670	0.329	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.666	0.334	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.663	0.337	0.000
rs80191532 lBF = `12.2522` Chr`18` : `12,752,868`	0.663	0.337	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.662	0.338	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.660	0.340	0.000
rs77436432 lBF = `9.8446` Chr`11` : `46,958,250`	0.660	0.340	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.659	0.340	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.657	0.343	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.654	0.346	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.653	0.347	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.652	0.348	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.652	0.348	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.651	0.349	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.649	0.351	0.000
rs12310380 lBF = `8.99711` Chr`12` : `104,478,790`	0.648	0.351	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.648	0.352	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.647	0.353	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.645	0.355	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.644	0.356	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.643	0.357	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.642	0.357	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.642	0.358	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.639	0.361	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.639	0.361	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.638	0.361	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.638	0.362	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.637	0.363	0.000
rs9267536 lBF = `15.2088` Chr`6` : `31,651,194`	0.637	0.363	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.637	0.363	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.637	0.363	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.636	0.364	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.635	0.365	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.635	0.365	0.000
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.634	0.365	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.634	0.365	0.000
rs74635050 lBF = `15.419` Chr`6` : `19,632,865`	0.634	0.366	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.633	0.367	0.000
rs79978308 lBF = `2.78083` Chr`21` : `41,020,545`	0.633	0.367	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.633	0.367	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.631	0.369	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.630	0.370	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.629	0.371	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.626	0.374	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.625	0.375	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.625	0.375	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.624	0.375	0.000
rs62262682 lBF = `6.14122` Chr`3` : `49,722,761`	0.624	0.376	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.623	0.377	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.623	0.377	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.622	0.378	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.622	0.378	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.621	0.379	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.621	0.379	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.620	0.380	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.619	0.381	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.616	0.384	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.616	0.384	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.615	0.385	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.615	0.385	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.613	0.387	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.612	0.388	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.611	0.388	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.611	0.389	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.610	0.390	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.609	0.391	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.609	0.391	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.607	0.393	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.605	0.395	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.604	0.396	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.604	0.396	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.603	0.397	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.602	0.398	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.602	0.398	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.602	0.398	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.602	0.398	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.601	0.399	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.601	0.399	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.600	0.400	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.600	0.400	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.600	0.400	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.600	0.400	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.599	0.400	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.599	0.401	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.598	0.402	0.000
rs2894196 lBF = `17.3657` Chr`6` : `31,230,111`	0.598	0.402	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.598	0.402	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.596	0.404	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.595	0.404	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.595	0.405	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.595	0.405	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.595	0.405	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.595	0.405	0.000
rs79616469 lBF = `11.2572` Chr`2` : `48,875,108`	0.594	0.406	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.594	0.406	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.593	0.406	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.593	0.407	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.593	0.407	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.592	0.408	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.592	0.408	0.000
rs115138709 lBF = `23.7047` Chr`6` : `31,430,600`	0.592	0.408	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.591	0.409	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.591	0.409	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.591	0.409	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.590	0.410	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.590	0.410	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.590	0.410	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.590	0.410	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.589	0.411	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.588	0.411	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.588	0.411	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.588	0.411	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.588	0.412	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.588	0.412	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.588	0.412	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.588	0.412	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.587	0.413	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.587	0.413	0.000
rs11557308 lBF = `22.8654` Chr`6` : `31,431,403`	0.586	0.414	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.586	0.414	0.000
rs55777621 lBF = `10.2606` Chr`6` : `30,584,133`	0.585	0.415	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.585	0.415	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.584	0.416	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.583	0.416	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.583	0.416	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.583	0.417	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.583	0.417	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.583	0.417	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.582	0.418	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.582	0.418	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.581	0.418	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.581	0.419	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.581	0.419	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.581	0.419	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.580	0.420	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.580	0.420	0.000
rs6679342 lBF = `13.0009` Chr`1` : `81,656,935`	0.580	0.420	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.580	0.420	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.580	0.420	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.580	0.420	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.577	0.422	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.577	0.423	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.576	0.424	0.000
rs11217762 lBF = `6.40084` Chr`11` : `120,071,508`	0.576	0.424	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.575	0.425	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.575	0.425	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.574	0.426	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.574	0.426	0.000
rs77803816 lBF = `19.635` Chr`6` : `31,431,063`	0.574	0.426	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.574	0.426	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.574	0.426	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.573	0.426	0.000
rs9368666 lBF = `20.5229` Chr`6` : `31,229,644`	0.573	0.427	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.573	0.427	0.000
rs74703823 lBF = `12.1497` Chr`3` : `3,162,708`	0.573	0.427	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.572	0.427	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.572	0.428	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.572	0.428	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.571	0.428	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.571	0.429	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.571	0.429	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.570	0.430	0.000
rs116564764 lBF = `16.14` Chr`3` : `162,298,640`	0.570	0.430	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.570	0.430	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.569	0.431	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.569	0.431	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.567	0.432	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.567	0.432	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.567	0.433	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.567	0.433	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.567	0.433	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.567	0.433	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.567	0.433	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.566	0.434	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.566	0.434	0.000
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rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.522	0.477	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.522	0.477	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.522	0.478	0.000
rs2267644 lBF = `19.8415` Chr`6` : `32,192,560`	0.522	0.478	0.000
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.522	0.478	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.521	0.478	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.521	0.479	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.521	0.479	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.521	0.479	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.521	0.479	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.521	0.479	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.521	0.479	0.000
rs112556867 lBF = `13.232` Chr`6` : `92,572,325`	0.520	0.480	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.520	0.480	0.000
rs16893130 lBF = `7.5717` Chr`5` : `60,927,193`	0.520	0.480	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.520	0.480	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.520	0.480	0.000
rs36055487 lBF = `21.1592` Chr`6` : `31,327,481`	0.519	0.481	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.519	0.481	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.519	0.481	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.519	0.481	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.518	0.481	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.518	0.481	0.000
rs45565837 lBF = `23.5217` Chr`6` : `31,694,859`	0.518	0.481	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.518	0.482	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.518	0.482	0.000
rs78896389 lBF = `12.8178` Chr`6` : `71,299,288`	0.518	0.482	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.518	0.482	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.518	0.482	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.518	0.482	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.518	0.482	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.518	0.482	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.517	0.483	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.517	0.483	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.517	0.483	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.517	0.483	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.517	0.483	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.517	0.483	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.517	0.483	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.517	0.483	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.516	0.483	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.516	0.483	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.516	0.484	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.516	0.484	0.000
rs28383346 lBF = `95.8386` Chr`6` : `32,605,326`	0.000	0.484	0.516
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.516	0.484	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.516	0.484	0.000
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.516	0.484	0.000
rs1805128 lBF = `7.21284` Chr`21` : `35,821,680`	0.516	0.484	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.516	0.484	0.000
rs72880536 lBF = `13.1874` Chr`6` : `33,752,386`	0.516	0.484	0.000
rs6470120 lBF = `0.393782` Chr`8` : `123,881,218`	0.516	0.484	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.516	0.484	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.516	0.484	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.515	0.484	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.515	0.484	0.000
rs182679717 lBF = `13.1183` Chr`6` : `41,975,693`	0.515	0.484	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.515	0.485	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.515	0.485	0.000
rs4854307 lBF = `2.18079` Chr`2` : `443,281`	0.515	0.485	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.515	0.485	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.515	0.485	0.000
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.515	0.485	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.514	0.486	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.514	0.486	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.514	0.486	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.513	0.486	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.513	0.487	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.513	0.487	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.513	0.487	0.000
rs3806155 lBF = `108.695` Chr`6` : `32,373,378`	0.513	0.487	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.513	0.487	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.512	0.487	0.000
rs115759551 lBF = `12.7074` Chr`1` : `156,963,356`	0.512	0.488	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.512	0.488	0.000
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	0.512	0.488	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.512	0.488	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.511	0.488	0.000
rs116434694 lBF = `8.6061` Chr`1` : `203,335,188`	0.512	0.488	0.000
rs115860471 lBF = `16.459` Chr`3` : `4,063,676`	0.511	0.489	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.511	0.489	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.511	0.489	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.511	0.489	0.000
rs115578729 lBF = `6.02631` Chr`1` : `249,125,649`	0.510	0.489	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.510	0.489	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.510	0.490	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.510	0.490	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.510	0.490	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.510	0.490	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.510	0.490	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.510	0.490	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.510	0.490	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.509	0.491	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.509	0.491	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.509	0.491	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5995

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4549

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9951

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9915

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9909

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9754

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9749

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9743

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9659

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9656

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9567

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9547

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9538

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9452

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9398

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9338

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9332

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9306

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9198

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9178

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9159

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9124

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9084

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9051

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9046

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9043

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9003

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8989

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8884

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8844

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8804

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8748

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8715

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8679

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8647

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8627

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8561

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8554

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8490

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8487

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8476

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8450

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8419

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8411

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8407

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8400

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8365

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8269

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8249

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8186

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8181

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8124

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8123

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8101

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8101

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8078

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8071

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8048

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8032

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8028

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8006

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7951

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7946

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7905

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7883

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7848

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7834

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7809

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7747

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7716

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7702

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7693

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7690

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7688

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7667

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7662

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7658

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7656

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7621

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7592

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7480

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7452

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7429

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7403

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7384

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7318

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7307

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7259

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7233

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7203

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7190

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7187

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7161

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7129

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7103

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7068

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7044

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7006

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6988

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6987

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6948

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6915

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6905

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6887

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6872

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6857

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6827

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6820

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6744

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6738

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6725

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6716

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6702

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6690

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6687

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6682

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6627

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6612

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6579

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6519

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6476

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6450

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6439

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6431

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6430

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6426

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6403

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6403

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6374

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6371

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6369

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6351

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6311

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6257

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6226

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6193

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6176

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6175

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6134

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6121

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6106

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6040

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5978

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5925

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5870

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5749

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5742

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5740

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5726

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5713

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5681

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5657

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5583

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5556

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5544

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5477

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5432

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5391

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5337

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5327

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5280

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5275

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5223

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5140

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5140

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5140

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5139

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5139

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5139

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5132

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5131

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5130

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5126

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5122

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5115

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5109

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5107

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5107

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5101

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5097

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5007

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4961

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4951

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4832

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4826

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4069

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3920

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3901

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3870

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3865

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3785

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3763

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3607

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3327

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3309

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3295

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3068

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2959

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2679

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2674

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1918

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1615

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1441

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1394

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1345

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1234

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0709

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0673

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`)