TreeWAS – [L73.2] Hidradenitis suppurativa

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
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.804	0.196	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.792	0.208	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.787	0.213	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.771	0.229	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.769	0.231	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.751	0.249	0.000
rs7756047 lBF = `8.51794` Chr`6` : `100,626,847`	0.751	0.249	0.000
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.747	0.253	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.726	0.274	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.724	0.276	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.716	0.284	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.700	0.300	0.000
rs72648438 lBF = `7.6831` Chr`1` : `17,923,847`	0.694	0.306	0.000
rs3094157 lBF = `54.2952` Chr`6` : `29,836,239`	0.692	0.308	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.691	0.309	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.687	0.313	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.683	0.317	0.000
rs2395163 lBF = `377.046` Chr`6` : `32,387,809`	0.682	0.318	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.677	0.323	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.673	0.327	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.671	0.329	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.671	0.329	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.671	0.329	0.000
rs78501510 lBF = `12.4829` Chr`6` : `10,834,641`	0.667	0.333	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.667	0.333	0.000
rs13137792 lBF = `5.15648` Chr`4` : `178,198,741`	0.662	0.338	0.000
rs1632984 lBF = `54.2695` Chr`6` : `29,773,392`	0.661	0.339	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.660	0.340	0.000
rs56183335 lBF = `6.66881` Chr`5` : `141,474,886`	0.659	0.341	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.657	0.343	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.652	0.348	0.000
rs116078501 lBF = `9.50922` Chr`2` : `8,698,802`	0.645	0.355	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.642	0.358	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.641	0.359	0.000
rs2743931 lBF = `53.7657` Chr`6` : `29,787,072`	0.640	0.360	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.639	0.361	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.637	0.363	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.636	0.364	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.635	0.365	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.628	0.372	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.624	0.376	0.000
rs1233330 lBF = `54.1314` Chr`6` : `29,799,103`	0.623	0.377	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.622	0.378	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.619	0.381	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.615	0.385	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.613	0.386	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.612	0.388	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.612	0.388	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.611	0.389	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.611	0.389	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.611	0.389	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.607	0.393	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.607	0.393	0.000
rs1632971 lBF = `54.1062` Chr`6` : `29,777,911`	0.605	0.395	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.605	0.395	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.605	0.395	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.605	0.395	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.602	0.398	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.600	0.400	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.599	0.400	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.599	0.401	0.000
rs181319480 lBF = `9.5655` Chr`3` : `58,793,057`	0.597	0.403	0.000
rs2073044 lBF = `297.22` Chr`6` : `32,338,986`	0.595	0.405	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.595	0.405	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.593	0.407	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.592	0.408	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.591	0.409	0.000
rs62414823 lBF = `7.58322` Chr`6` : `115,891,711`	0.588	0.412	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.588	0.412	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.588	0.412	0.000
rs3763305 lBF = `35.2118` Chr`6` : `32,369,488`	0.587	0.413	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.582	0.417	0.000
rs9268500 lBF = `35.1497` Chr`6` : `32,376,517`	0.581	0.419	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.581	0.419	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.580	0.420	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.580	0.420	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.577	0.422	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.577	0.423	0.000
rs116775899 lBF = `12.2053` Chr`5` : `76,143,246`	0.577	0.423	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.575	0.425	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.574	0.426	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.572	0.428	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.571	0.429	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.570	0.430	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.568	0.432	0.000
rs62262721 lBF = `9.29228` Chr`3` : `49,768,927`	0.568	0.432	0.000
rs199055 lBF = `13.8929` Chr`6` : `23,490,117`	0.567	0.433	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.566	0.434	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.565	0.435	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.563	0.437	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.563	0.437	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.563	0.437	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.563	0.437	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.561	0.438	0.000
rs9813389 lBF = `7.33298` Chr`3` : `131,837,290`	0.561	0.439	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.560	0.440	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.560	0.440	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.559	0.441	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.558	0.442	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.558	0.442	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.557	0.443	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.557	0.443	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.557	0.443	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.556	0.443	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.556	0.444	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.555	0.445	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.555	0.445	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.554	0.446	0.000
rs6705628 lBF = `4.01162` Chr`2` : `74,208,362`	0.554	0.446	0.000
rs118016817 lBF = `16.223` Chr`6` : `108,218,801`	0.554	0.446	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.554	0.446	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.552	0.448	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.550	0.450	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.550	0.450	0.000
rs56198862 lBF = `5.18995` Chr`1` : `41,172,312`	0.549	0.451	0.000
rs115684255 lBF = `12.9903` Chr`3` : `84,304,714`	0.549	0.451	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.547	0.453	0.000
rs4148876 lBF = `32.3961` Chr`6` : `32,796,793`	0.546	0.454	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.546	0.454	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.546	0.454	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.545	0.455	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.543	0.457	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.542	0.458	0.000
rs9268614 lBF = `379.521` Chr`6` : `32,402,778`	0.542	0.458	0.000
rs73052920 lBF = `29.3216` Chr`3` : `37,760,669`	0.540	0.460	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.538	0.462	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.538	0.462	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.538	0.462	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.537	0.463	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.537	0.463	0.000
rs2506933 lBF = `1.94426` Chr`6` : `93,615,450`	0.536	0.464	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.536	0.464	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.536	0.464	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.535	0.464	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.534	0.466	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.534	0.466	0.000
rs28732081 lBF = `101.638` Chr`6` : `31,002,343`	0.532	0.468	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.532	0.468	0.000
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.531	0.469	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.530	0.470	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.530	0.470	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.529	0.470	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.529	0.471	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.528	0.472	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.527	0.472	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.527	0.473	0.000
rs12203592 lBF = `220.671` Chr`6` : `396,321`	0.526	0.474	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.525	0.475	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.522	0.478	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.521	0.479	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.521	0.479	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.520	0.479	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.520	0.479	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.520	0.480	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.519	0.481	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.518	0.482	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.518	0.482	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.518	0.482	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.518	0.482	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.517	0.483	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.516	0.483	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.515	0.485	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.515	0.485	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.515	0.485	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.515	0.485	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.514	0.486	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.514	0.486	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.514	0.486	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.514	0.486	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.514	0.486	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.514	0.486	0.000
rs115244944 lBF = `18.0031` Chr`1` : `5,826,134`	0.513	0.487	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.513	0.487	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.512	0.488	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.512	0.488	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.512	0.488	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.511	0.489	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.510	0.489	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.510	0.490	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.510	0.490	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.510	0.490	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.509	0.490	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.509	0.490	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.509	0.491	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.509	0.491	0.000
rs77101722 lBF = `14.3457` Chr`2` : `126,788,300`	0.509	0.491	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.509	0.491	0.000
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.508	0.492	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.507	0.493	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.507	0.493	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.507	0.493	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.507	0.493	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.506	0.494	0.000
rs62262521 lBF = `5.68817` Chr`3` : `49,173,197`	0.506	0.494	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.506	0.494	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.506	0.494	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.505	0.495	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.505	0.495	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.505	0.495	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.502	0.497	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.502	0.498	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.502	0.498	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.502	0.498	0.000
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rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.499	0.501	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.499	0.501	0.000
rs59735097 lBF = `7.95782` Chr`2` : `70,398,587`	0.499	0.501	0.000
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rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.498	0.502	0.000
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rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.498	0.502	0.000
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rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.498	0.502	0.000
rs3117761 lBF = `17.5062` Chr`1` : `177,722,715`	0.497	0.502	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.497	0.503	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.497	0.503	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.497	0.503	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.497	0.503	0.000
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rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.495	0.505	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.494	0.506	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.494	0.506	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.494	0.506	0.000
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.494	0.506	0.000
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rs4685943 lBF = `1.3179` Chr`3` : `5,535,277`	0.493	0.507	0.000
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rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.492	0.508	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.492	0.508	0.000
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rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.491	0.509	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.491	0.509	0.000
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rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.489	0.511	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.489	0.511	0.000
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rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.486	0.514	0.000
rs77923412 lBF = `11.2716` Chr`3` : `101,886,745`	0.486	0.514	0.000
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rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.482	0.518	0.000
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Affx-21291542 lBF = `12.1623` Chr`3` : `141,344,672`	0.480	0.520	0.000
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rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.478	0.521	0.000
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Affx-28508994 lBF = `12.3138` Chr`6` : `32,880,409`	0.000	0.529	0.471
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Affx-28502500 lBF = `331.394` Chr`6` : `32,682,137`	0.459	0.541	0.000
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rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.442	0.558	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.442	0.558	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.442	0.558	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.441	0.558	0.000
rs118068306 lBF = `14.8013` Chr`3` : `14,273,131`	0.441	0.559	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.441	0.559	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.441	0.559	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.440	0.560	0.000
rs3769823 lBF = `35.8804` Chr`2` : `202,122,995`	0.440	0.560	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.440	0.560	0.000
rs56272623 lBF = `7.6017` Chr`1` : `28,840,940`	0.440	0.560	0.000
Affx-28507878 lBF = `12.4749` Chr`6` : `32,823,948`	0.000	0.560	0.440
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.439	0.560	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.439	0.561	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.439	0.561	0.000
rs187076367 lBF = `2.26739` Chr`2` : `175,636,914`	0.438	0.561	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.438	0.562	0.000
rs114239030 lBF = `16.2356` Chr`3` : `84,228,854`	0.438	0.562	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.438	0.562	0.000
rs75621054 lBF = `15.8715` Chr`1` : `242,378,718`	0.438	0.562	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.438	0.562	0.000
rs115023769 lBF = `14.1062` Chr`3` : `153,241,084`	0.438	0.562	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.437	0.562	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.437	0.562	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.437	0.562	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.437	0.563	0.000
rs6908726 lBF = `198.546` Chr`6` : `28,671,343`	0.010	0.563	0.427
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.437	0.563	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.436	0.564	0.000
rs78555861 lBF = `11.9034` Chr`1` : `235,772,614`	0.436	0.564	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.436	0.564	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.436	0.564	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.435	0.564	0.000
rs73138705 lBF = `14.0343` Chr`3` : `85,470,361`	0.435	0.565	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.435	0.565	0.000
rs2844586 lBF = `11.7203` Chr`6` : `31,318,024`	0.000	0.566	0.434
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.434	0.566	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.434	0.566	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.434	0.566	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.433	0.567	0.000
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	0.433	0.567	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	0.432	0.568	0.000
rs3957146 lBF = `341.478` Chr`6` : `32,681,530`	0.431	0.569	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.431	0.569	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.431	0.569	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.431	0.569	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.430	0.570	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.430	0.570	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.430	0.570	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.430	0.570	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.429	0.570	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.429	0.571	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.429	0.571	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.429	0.571	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.429	0.571	0.000
rs11155133 lBF = `6.4949` Chr`6` : `141,169,825`	0.428	0.572	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.427	0.573	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.427	0.573	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.427	0.573	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.426	0.573	0.000
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.426	0.573	0.000
rs73912949 lBF = `2.01417` Chr`2` : `9,291,234`	0.426	0.574	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.426	0.574	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.426	0.574	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.426	0.574	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.426	0.574	0.000
rs3817964 lBF = `26.9743` Chr`6` : `32,367,997`	0.426	0.574	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.426	0.574	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.426	0.574	0.000
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	0.425	0.574	0.000
rs112556867 lBF = `13.232` Chr`6` : `92,572,325`	0.425	0.575	0.000
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.425	0.575	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.425	0.575	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.425	0.575	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.425	0.575	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.424	0.575	0.000
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	0.424	0.576	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.424	0.576	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.424	0.576	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.424	0.576	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.424	0.576	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.423	0.577	0.000
rs72753808 lBF = `20.4495` Chr`1` : `204,517,487`	0.423	0.577	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.423	0.577	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.422	0.577	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.422	0.578	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.422	0.578	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.422	0.578	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.422	0.578	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.422	0.578	0.000
rs9260973 lBF = `65.5217` Chr`6` : `29,961,580`	0.422	0.578	0.000
rs17791975 lBF = `7.13706` Chr`3` : `85,118,035`	0.422	0.578	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.422	0.578	0.000
rs35163515 lBF = `19.5869` Chr`6` : `31,434,968`	0.422	0.578	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 X0289

log Bayes Factor = 60.4564

contains 1 variants

0.1598

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0872

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0762

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9867

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9837

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9734

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9692

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9634

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9561

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9551

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9504

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9356

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9327

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9288

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9205

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9149

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9127

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9119

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9055

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9032

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8975

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8937

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8922

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8915

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8814

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8751

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8730

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8699

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8643

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8600

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8499

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8378

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8330

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8294

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8117

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.8081

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8038

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8003

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7993

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7942

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7891

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7846

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7821

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7769

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7732

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7663

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7625

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7563

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7543

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7538

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7423

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7405

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7375

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7267

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7258

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7230

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7218

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7175

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7074

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7005

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6988

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6932

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6844

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6743

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6707

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6657

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6653

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6434

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6308

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6288

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6273

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6254

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6194

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6052

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6034

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6032

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6032

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5993

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5975

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5911

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5836

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5821

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5634

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5510

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5457

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5394

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.5262

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5231

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5198

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5175

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5135

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5085

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5059

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5009

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4968

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4863

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4860

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4637

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4511

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4469

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4468

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4455

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4449

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4436

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4419

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4389

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4235

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4086

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4066

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4061

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3988

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3798

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3762

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3723

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3686

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3642

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3609

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3542

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3505

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3486

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3372

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3353

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3273

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3223

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3204

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3097

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3070

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3066

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3066

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3060

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2969

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2921

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2826

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2784

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2632

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2572

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2467

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2407

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2359

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2331

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2304

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2239

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2118

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2099

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2081

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1996

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1970

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1883

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1783

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1707

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1700

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1697

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1687

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1679

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1541

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1522

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1439

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1418

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1379

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1377

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1282

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1260

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1254

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1238

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1178

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1150

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1116

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1104

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1043

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0974

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0900

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0871

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0821

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0807

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0768

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0732

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0642

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0633

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0619

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0552

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0541

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0523

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0518

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`)