TreeWAS – [A40.9] Streptococcal septicaemia, unspecified

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
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.812	0.188	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.775	0.225	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.749	0.250	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.731	0.269	0.000
rs17368073 lBF = `7.77278` Chr`1` : `77,222,172`	0.729	0.271	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.719	0.281	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.715	0.284	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.711	0.289	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.709	0.291	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.704	0.296	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.699	0.301	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.696	0.304	0.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.307	0.693
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.691	0.309	0.000
rs6973517 lBF = `6.61808` Chr`7` : `122,507,282`	0.689	0.311	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.684	0.316	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.683	0.317	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	0.681	0.319	0.000
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.680	0.320	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.677	0.323	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.677	0.323	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.675	0.325	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.673	0.327	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.673	0.327	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.668	0.332	0.000
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.665	0.335	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.664	0.336	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.660	0.340	0.000
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.659	0.341	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.659	0.341	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.652	0.348	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.650	0.350	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.649	0.351	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.648	0.352	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.645	0.355	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.644	0.356	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.644	0.356	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.644	0.356	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.643	0.357	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.642	0.358	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.641	0.359	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.639	0.361	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.639	0.361	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.637	0.363	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.636	0.364	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.636	0.364	0.000
rs17476187 lBF = `6.70522` Chr`1` : `104,669,154`	0.633	0.367	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.632	0.368	0.000
rs241438 lBF = `109.368` Chr`6` : `32,797,620`	0.632	0.368	0.000
rs77393224 lBF = `11.2052` Chr`6` : `34,381,136`	0.631	0.369	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.631	0.369	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.631	0.369	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.631	0.369	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.630	0.369	0.000
rs13212461 lBF = `5.77319` Chr`6` : `37,410,503`	0.630	0.370	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.630	0.370	0.000
rs77731990 lBF = `1.89865` Chr`2` : `184,556,860`	0.629	0.371	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.628	0.372	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.627	0.373	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.626	0.374	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.623	0.376	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.621	0.379	0.000
rs12563513 lBF = `19.0633` Chr`1` : `114,547,798`	0.621	0.379	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.620	0.380	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.618	0.381	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.617	0.383	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.616	0.384	0.000
rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.616	0.384	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.615	0.385	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.614	0.385	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.613	0.387	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.612	0.388	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.612	0.388	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.611	0.389	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.610	0.390	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.609	0.391	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.609	0.391	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.608	0.392	0.000
rs12139703 lBF = `12.288` Chr`1` : `81,472,317`	0.607	0.393	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.607	0.393	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.606	0.394	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.606	0.394	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.605	0.394	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.604	0.396	0.000
rs72704010 lBF = `16.7236` Chr`1` : `169,383,980`	0.603	0.397	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.603	0.397	0.000
rs17132883 lBF = `3.40941` Chr`5` : `110,502,429`	0.603	0.397	0.000
rs9835374 lBF = `8.43592` Chr`3` : `143,647,311`	0.602	0.397	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.602	0.398	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.602	0.398	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.601	0.399	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.601	0.399	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.600	0.400	0.000
rs241439 lBF = `96.0758` Chr`6` : `32,797,537`	0.598	0.402	0.000
rs2780226 lBF = `5.10037` Chr`6` : `34,199,092`	0.598	0.402	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.598	0.402	0.000
rs1370967 lBF = `2.26392` Chr`5` : `110,539,392`	0.597	0.403	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.597	0.403	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.596	0.404	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.595	0.405	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.593	0.406	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.592	0.407	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.592	0.408	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.592	0.408	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.592	0.408	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.591	0.408	0.000
rs61819881 lBF = `13.5132` Chr`1` : `209,460,628`	0.591	0.408	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.591	0.408	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.589	0.411	0.000
rs17006842 lBF = `1.77826` Chr`3` : `70,259,702`	0.589	0.411	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.588	0.412	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.587	0.413	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.587	0.413	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.587	0.413	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.586	0.414	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.586	0.414	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.586	0.414	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.586	0.414	0.000
rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.586	0.414	0.000
rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.585	0.415	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.584	0.415	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.584	0.416	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.582	0.418	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.581	0.419	0.000
rs79682748 lBF = `17.0173` Chr`1` : `66,989,719`	0.580	0.420	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.579	0.421	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.579	0.421	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.578	0.422	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.578	0.422	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.577	0.423	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.577	0.423	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.577	0.423	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.577	0.423	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.575	0.425	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.574	0.426	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.574	0.426	0.000
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	0.574	0.426	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.573	0.426	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.573	0.426	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.572	0.428	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.572	0.428	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.572	0.428	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.571	0.429	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.571	0.429	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.571	0.429	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.571	0.429	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.570	0.429	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.570	0.430	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.570	0.430	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.569	0.431	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.569	0.431	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.569	0.431	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.568	0.432	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.567	0.433	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.567	0.433	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.567	0.433	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.566	0.434	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.566	0.434	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.566	0.434	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.566	0.434	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.565	0.435	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.565	0.435	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.565	0.435	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.565	0.435	0.000
rs9284510 lBF = `6.78234` Chr`21` : `47,557,074`	0.564	0.435	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.564	0.436	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.563	0.436	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.563	0.437	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.563	0.437	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.562	0.437	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.562	0.438	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.562	0.438	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.561	0.438	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.561	0.438	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.561	0.439	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.561	0.439	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.561	0.439	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.560	0.440	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.560	0.440	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.559	0.440	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.559	0.441	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.559	0.441	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.559	0.441	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.558	0.442	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.558	0.442	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.558	0.442	0.000
rs67068100 lBF = `25.2032` Chr`6` : `31,429,913`	0.558	0.442	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.556	0.443	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.556	0.443	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.556	0.444	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.556	0.444	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.555	0.445	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.555	0.445	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.555	0.445	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.554	0.446	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.554	0.446	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.554	0.446	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.554	0.446	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.553	0.447	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.553	0.447	0.000
rs16899661 lBF = `21.9129` Chr`6` : `31,430,401`	0.553	0.447	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.553	0.447	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.553	0.447	0.000
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rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.509	0.491	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.509	0.491	0.000
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.509	0.491	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.509	0.491	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.509	0.491	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.509	0.491	0.000
rs117802660 lBF = `15.852` Chr`21` : `27,198,954`	0.509	0.491	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.509	0.491	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.509	0.491	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.509	0.491	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.509	0.491	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.508	0.491	0.000
rs117132860 lBF = `4.72832` Chr`7` : `17,134,708`	0.508	0.492	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.508	0.492	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.508	0.492	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.508	0.492	0.000
rs180771047 lBF = `2.90315` Chr`2` : `227,185,851`	0.507	0.492	0.000
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.508	0.492	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.507	0.492	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.507	0.492	0.000
rs78535563 lBF = `12.3274` Chr`6` : `12,397,127`	0.507	0.493	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.507	0.493	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.507	0.493	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.507	0.493	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.507	0.493	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.507	0.493	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.507	0.493	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.507	0.493	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.507	0.493	0.000
rs11229564 lBF = `5.51228` Chr`11` : `55,185,840`	0.507	0.493	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.507	0.493	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.507	0.493	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.507	0.493	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.507	0.493	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.507	0.493	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.506	0.493	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.506	0.494	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.506	0.494	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.506	0.494	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.506	0.494	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.506	0.494	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.506	0.494	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.506	0.494	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.506	0.494	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.505	0.494	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.505	0.494	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.505	0.494	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.505	0.494	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.505	0.495	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.505	0.495	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.505	0.495	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.505	0.495	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.505	0.495	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.505	0.495	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.505	0.495	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.505	0.495	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.505	0.495	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.505	0.495	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.505	0.495	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.504	0.495	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.504	0.495	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.504	0.496	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.504	0.496	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.504	0.496	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.504	0.496	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.504	0.496	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.504	0.496	0.000
rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.504	0.496	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.504	0.496	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.504	0.496	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.503	0.496	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.503	0.496	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.503	0.497	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.503	0.497	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.503	0.497	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.503	0.497	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.503	0.497	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.503	0.497	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.503	0.497	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.503	0.497	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.503	0.497	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.502	0.497	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.502	0.498	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.502	0.498	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.502	0.498	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.501	0.498	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.501	0.498	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.501	0.499	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.501	0.499	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.501	0.499	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.501	0.499	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.501	0.499	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.501	0.499	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.500	0.499	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.500	0.499	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.4034

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2730

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2108

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9827

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9770

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9697

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9684

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9666

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9648

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9646

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9643

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9627

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9605

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9542

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9501

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9449

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9318

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9247

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9235

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9159

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9088

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9025

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9019

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9017

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8894

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8862

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8796

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8794

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8746

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8689

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8664

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8664

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8582

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.8578

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8539

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8524

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8509

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8452

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8424

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8413

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8370

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8356

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8290

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8272

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8191

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8087

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8058

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8043

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8035

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7970

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7941

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7904

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7873

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7854

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7833

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7824

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7785

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7772

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7731

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7678

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7642

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7544

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7489

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7447

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7424

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7423

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7354

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7327

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7300

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7281

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7280

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7214

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7147

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7126

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7124

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7085

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7082

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7064

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6989

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6955

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6925

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6920

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6902

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6892

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6878

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6867

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6834

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6831

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6813

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6811

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6801

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6793

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6761

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6694

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6684

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6655

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6615

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6611

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6608

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6597

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6581

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6561

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6542

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6493

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6473

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6448

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6446

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6428

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6424

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6402

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6399

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6349

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6339

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6332

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6321

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6315

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6313

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6292

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6274

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6264

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6258

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6234

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6223

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6158

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6142

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6093

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5995

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5985

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5981

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5980

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5929

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5920

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5919

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5907

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5866

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5864

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5850

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5798

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5732

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5714

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5690

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5671

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5664

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5650

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5634

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5622

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5604

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5595

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5587

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5559

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5552

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5546

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5532

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5503

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5460

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5451

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5404

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5366

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5347

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5329

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5231

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5205

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5140

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5140

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5140

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5138

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5135

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5122

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5120

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5104

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5103

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5101

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5066

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5048

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5029

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4994

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4981

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4920

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4820

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4790

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4790

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4750

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4741

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4718

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4689

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4684

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4655

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4621

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.4562

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4523

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4475

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4379

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4369

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4362

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4325

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4211

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4153

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3998

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3864

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3856

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.3560

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2892

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2717

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2376

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2064

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1856

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1762

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1601

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1414

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1333

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`)