TreeWAS – [T42.2] Succinimides and oxazolidinediones

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
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.717	0.283	0.000
rs881576 lBF = `6.46726` Chr`1` : `199,257,785`	0.717	0.283	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	0.283	0.717
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.000	0.283	0.717
rs7166783 lBF = `5.49465` Chr`15` : `84,161,111`	0.717	0.283	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.000	0.283	0.717
rs1761375 lBF = `6.09751` Chr`1` : `94,538,011`	0.717	0.283	0.000
rs549114 lBF = `5.53235` Chr`1` : `94,534,354`	0.717	0.283	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.717	0.283	0.000
rs13393011 lBF = `7.2631` Chr`2` : `1,692,254`	0.717	0.283	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.717	0.283	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.717	0.283	0.000
rs1897767 lBF = `5.8667` Chr`4` : `179,540,613`	0.000	0.284	0.716
rs705162 lBF = `3.13668` Chr`10` : `125,251,675`	0.716	0.284	0.000
rs3857536 lBF = `3.18052` Chr`6` : `66,929,048`	0.716	0.284	0.000
rs12345511 lBF = `5.5265` Chr`9` : `112,645,299`	0.716	0.284	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.716	0.284	0.000
rs2857106 lBF = `77.6131` Chr`6` : `32,787,570`	0.716	0.284	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.716	0.284	0.000
rs367836 lBF = `7.56457` Chr`6` : `52,843,131`	0.716	0.284	0.000
rs2621322 lBF = `79.2896` Chr`6` : `32,788,712`	0.716	0.284	0.000
rs3099557 lBF = `2.73796` Chr`4` : `22,824,021`	0.000	0.284	0.716
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.715	0.284	0.000
rs1051794 lBF = `109.752` Chr`6` : `31,379,109`	0.715	0.284	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.715	0.285	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.715	0.285	0.000
rs1116547 lBF = `2.6843` Chr`5` : `112,680,337`	0.000	0.285	0.715
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.715	0.285	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.285	0.714
rs34118408 lBF = `5.19697` Chr`3` : `196,369,375`	0.714	0.285	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.714	0.286	0.000
rs12310399 lBF = `3.09393` Chr`12` : `95,490,248`	0.000	0.286	0.714
rs1051786 lBF = `106.433` Chr`6` : `31,378,425`	0.714	0.286	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.714	0.286	0.000
rs4953076 lBF = `2.94502` Chr`2` : `44,480,950`	0.714	0.286	0.000
rs77247306 lBF = `5.19454` Chr`4` : `55,682,981`	0.714	0.286	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.714	0.286	0.000
rs28732150 lBF = `77.4159` Chr`6` : `31,583,224`	0.713	0.286	0.000
rs206776 lBF = `62.7462` Chr`6` : `32,953,711`	0.713	0.287	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.713	0.287	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.713	0.287	0.000
rs2893857 lBF = `5.42702` Chr`6` : `26,474,061`	0.713	0.287	0.000
rs2280801 lBF = `77.8248` Chr`6` : `31,592,064`	0.713	0.287	0.000
rs72770110 lBF = `5.57167` Chr`2` : `4,656,873`	0.713	0.287	0.000
rs7746199 lBF = `87.2247` Chr`6` : `27,261,324`	0.000	0.287	0.712
rs10817110 lBF = `6.05467` Chr`9` : `113,676,086`	0.712	0.288	0.000
rs8084580 lBF = `5.13246` Chr`18` : `4,106,522`	0.712	0.288	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.712	0.288	0.000
rs9266845 lBF = `110.015` Chr`6` : `31,384,792`	0.712	0.288	0.000
rs35983068 lBF = `10.6447` Chr`11` : `30,215,430`	0.712	0.288	0.000
rs7715811 lBF = `2.69078` Chr`5` : `13,769,974`	0.712	0.288	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.712	0.288	0.000
rs2968614 lBF = `5.2935` Chr`2` : `36,157,207`	0.712	0.288	0.000
rs10223421 lBF = `106.956` Chr`6` : `31,390,055`	0.712	0.288	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.712	0.288	0.000
rs28642901 lBF = `109.678` Chr`6` : `31,381,808`	0.712	0.288	0.000
rs2295663 lBF = `77.8075` Chr`6` : `31,669,295`	0.712	0.288	0.000
rs11575907 lBF = `33.192` Chr`6` : `32,782,112`	0.711	0.288	0.000
rs10518640 lBF = `5.62407` Chr`4` : `134,393,453`	0.711	0.288	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.711	0.288	0.000
rs9266825 lBF = `110.415` Chr`6` : `31,382,882`	0.711	0.288	0.000
rs17162990 lBF = `5.53349` Chr`1` : `28,523,238`	0.711	0.288	0.000
rs28732157 lBF = `77.3096` Chr`6` : `31,628,216`	0.711	0.289	0.000
rs9501398 lBF = `50.904` Chr`6` : `32,202,597`	0.711	0.289	0.000
rs140839642 lBF = `3.78516` Chr`11` : `102,728,812`	0.711	0.289	0.000
rs9378357 lBF = `2.08973` Chr`6` : `3,294,824`	0.711	0.289	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.711	0.289	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.711	0.289	0.000
rs337161 lBF = `2.05641` Chr`1` : `220,914,920`	0.711	0.289	0.000
rs10947091 lBF = `88.9982` Chr`6` : `30,747,216`	0.710	0.289	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.710	0.290	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.710	0.290	0.000
rs17692336 lBF = `6.65834` Chr`19` : `32,972,119`	0.710	0.290	0.000
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.710	0.290	0.000
rs7751505 lBF = `128.813` Chr`6` : `31,360,255`	0.710	0.290	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.710	0.290	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.710	0.290	0.000
rs13220225 lBF = `59.7189` Chr`6` : `30,747,802`	0.710	0.290	0.000
rs17189441 lBF = `60.2526` Chr`6` : `30,758,555`	0.710	0.290	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.710	0.290	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.710	0.290	0.000
rs141727220 lBF = `5.77406` Chr`4` : `134,428,359`	0.710	0.290	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.709	0.290	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.709	0.290	0.000
rs28780116 lBF = `86.3134` Chr`6` : `30,755,668`	0.709	0.290	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.709	0.291	0.000
rs4713367 lBF = `87.4605` Chr`6` : `30,756,822`	0.709	0.291	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.709	0.291	0.000
rs1502050 lBF = `2.66649` Chr`5` : `13,779,743`	0.709	0.291	0.000
rs2535323 lBF = `61.2993` Chr`6` : `30,718,180`	0.709	0.291	0.000
rs16897900 lBF = `86.7495` Chr`6` : `30,755,893`	0.709	0.291	0.000
rs10008980 lBF = `5.86369` Chr`4` : `189,258,322`	0.709	0.291	0.000
rs10795130 lBF = `2.58291` Chr`10` : `4,151,121`	0.708	0.291	0.000
rs10947095 lBF = `89.9123` Chr`6` : `30,757,575`	0.708	0.291	0.000
rs16897899 lBF = `88.0824` Chr`6` : `30,755,744`	0.708	0.291	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.708	0.292	0.000
rs12522290 lBF = `2.30567` Chr`5` : `152,797,656`	0.708	0.292	0.000
rs4711229 lBF = `88.2579` Chr`6` : `30,756,744`	0.708	0.292	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.708	0.292	0.000
rs7791133 lBF = `3.39631` Chr`7` : `135,237,096`	0.708	0.292	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.708	0.292	0.000
rs9378200 lBF = `76.8929` Chr`6` : `31,572,927`	0.708	0.292	0.000
rs6900029 lBF = `88.2259` Chr`6` : `30,756,596`	0.708	0.292	0.000
rs17481190 lBF = `58.2135` Chr`6` : `30,743,014`	0.707	0.292	0.000
rs10905868 lBF = `2.76174` Chr`10` : `10,974,256`	0.707	0.292	0.000
rs492146 lBF = `3.58103` Chr`6` : `52,835,895`	0.000	0.292	0.707
rs6932236 lBF = `111.72` Chr`6` : `31,383,979`	0.707	0.293	0.000
rs4846835 lBF = `2.38058` Chr`1` : `230,281,156`	0.000	0.293	0.707
rs9378164 lBF = `72.2281` Chr`6` : `31,643,522`	0.707	0.293	0.000
rs6920124 lBF = `88.2531` Chr`6` : `30,756,593`	0.707	0.293	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.707	0.293	0.000
rs4666563 lBF = `8.16748` Chr`2` : `19,948,952`	0.706	0.294	0.000
rs12660883 lBF = `58.8029` Chr`6` : `30,764,420`	0.706	0.294	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.706	0.294	0.000
rs10947207 lBF = `128.647` Chr`6` : `31,361,485`	0.706	0.294	0.000
rs12527415 lBF = `86.4047` Chr`6` : `30,754,540`	0.706	0.294	0.000
rs3756407 lBF = `7.30388` Chr`5` : `10,701,514`	0.706	0.294	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.706	0.294	0.000
rs2896103 lBF = `2.16646` Chr`5` : `13,764,419`	0.705	0.294	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.705	0.294	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.705	0.294	0.000
rs4713385 lBF = `67.2423` Chr`6` : `30,787,593`	0.705	0.295	0.000
rs11758688 lBF = `88.8773` Chr`6` : `30,758,348`	0.705	0.295	0.000
rs12761761 lBF = `1.99853` Chr`10` : `133,775,375`	0.705	0.295	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.705	0.295	0.000
rs9468830 lBF = `85.8141` Chr`6` : `30,749,712`	0.705	0.295	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.705	0.295	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.704	0.296	0.000
rs13201769 lBF = `86.2755` Chr`6` : `30,756,066`	0.704	0.296	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.704	0.296	0.000
rs13214831 lBF = `58.4928` Chr`6` : `30,731,505`	0.704	0.296	0.000
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.704	0.296	0.000
rs35343117 lBF = `2.22504` Chr`15` : `86,079,115`	0.704	0.296	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.704	0.296	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.704	0.296	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.704	0.296	0.000
rs1335587 lBF = `1.93357` Chr`13` : `102,145,560`	0.704	0.296	0.000
rs4449129 lBF = `6.12527` Chr`2` : `106,898,223`	0.703	0.297	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.703	0.297	0.000
rs1612141 lBF = `2.4558` Chr`14` : `41,702,598`	0.000	0.297	0.703
rs4947289 lBF = `67.147` Chr`6` : `30,791,409`	0.703	0.297	0.000
rs9348876 lBF = `71.6856` Chr`6` : `31,575,276`	0.703	0.297	0.000
rs4713382 lBF = `67.8495` Chr`6` : `30,787,175`	0.703	0.297	0.000
rs4713383 lBF = `67.8917` Chr`6` : `30,787,241`	0.703	0.297	0.000
rs12660860 lBF = `57.1912` Chr`6` : `30,764,241`	0.703	0.297	0.000
rs4713380 lBF = `67.7421` Chr`6` : `30,785,273`	0.703	0.297	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.703	0.297	0.000
rs17361668 lBF = `3.61942` Chr`11` : `102,720,344`	0.703	0.297	0.000
rs13437082 lBF = `127.747` Chr`6` : `31,354,560`	0.702	0.297	0.000
rs2281816 lBF = `11.9496` Chr`6` : `33,772,335`	0.000	0.298	0.702
rs16897515 lBF = `87.0233` Chr`6` : `27,278,020`	0.000	0.298	0.702
rs318651 lBF = `5.70056` Chr`7` : `34,231,380`	0.702	0.298	0.000
rs72983508 lBF = `3.47867` Chr`11` : `102,727,409`	0.702	0.298	0.000
rs737693 lBF = `3.47867` Chr`11` : `102,726,142`	0.702	0.298	0.000
rs72981684 lBF = `3.49192` Chr`11` : `102,724,211`	0.702	0.298	0.000
rs72981680 lBF = `3.48351` Chr`11` : `102,721,859`	0.702	0.298	0.000
rs72981698 lBF = `3.46896` Chr`11` : `102,726,540`	0.702	0.298	0.000
rs72983513 lBF = `3.46329` Chr`11` : `102,728,985`	0.702	0.298	0.000
rs28381684 lBF = `3.482` Chr`11` : `102,737,192`	0.702	0.298	0.000
rs72981675 lBF = `3.47992` Chr`11` : `102,721,251`	0.702	0.298	0.000
rs114176245 lBF = `3.47129` Chr`11` : `102,719,534`	0.702	0.298	0.000
rs62221577 lBF = `8.78053` Chr`21` : `33,164,508`	0.702	0.298	0.000
rs7751869 lBF = `67.7379` Chr`6` : `30,793,314`	0.702	0.298	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.702	0.298	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.702	0.298	0.000
rs17691453 lBF = `1.65764` Chr`15` : `39,543,946`	0.000	0.298	0.702
rs17368659 lBF = `3.2217` Chr`11` : `102,742,761`	0.702	0.298	0.000
rs2514218 lBF = `4.11351` Chr`11` : `113,392,994`	0.000	0.298	0.702
rs75128058 lBF = `8.3914` Chr`6` : `52,978,053`	0.702	0.298	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.702	0.298	0.000
rs9378109 lBF = `68.7722` Chr`6` : `30,774,474`	0.702	0.298	0.000
rs4711269 lBF = `127.281` Chr`6` : `31,354,819`	0.702	0.298	0.000
rs17368814 lBF = `2.93354` Chr`11` : `102,748,695`	0.701	0.298	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.701	0.299	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.701	0.299	0.000
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.701	0.299	0.000
rs28780119 lBF = `87.2027` Chr`6` : `30,755,863`	0.701	0.299	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.701	0.299	0.000
rs12526186 lBF = `58.9659` Chr`6` : `30,736,151`	0.701	0.299	0.000
rs1665050 lBF = `2.11815` Chr`15` : `59,293,605`	0.000	0.299	0.701
rs4713389 lBF = `67.6068` Chr`6` : `30,790,604`	0.700	0.300	0.000
rs72981683 lBF = `3.40708` Chr`11` : `102,722,614`	0.700	0.300	0.000
rs7749924 lBF = `49.4897` Chr`6` : `30,797,991`	0.700	0.300	0.000
rs2276109 lBF = `2.87352` Chr`11` : `102,745,791`	0.700	0.300	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.700	0.300	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.700	0.300	0.000
rs17368582 lBF = `3.25453` Chr`11` : `102,738,075`	0.700	0.300	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.700	0.300	0.000
rs2248372 lBF = `103.651` Chr`6` : `31,446,466`	0.700	0.300	0.000
rs2516511 lBF = `99.3774` Chr`6` : `31,448,625`	0.700	0.300	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.700	0.300	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.700	0.300	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.699	0.301	0.000
rs9380198 lBF = `67.7938` Chr`6` : `30,785,886`	0.699	0.301	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.699	0.301	0.000
rs2516422 lBF = `97.9547` Chr`6` : `31,449,269`	0.699	0.301	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.698	0.301	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.698	0.302	0.000
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.698	0.302	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.698	0.302	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.698	0.302	0.000
rs28732081 lBF = `101.638` Chr`6` : `31,002,343`	0.698	0.302	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.698	0.302	0.000
rs2248462 lBF = `98.4899` Chr`6` : `31,446,796`	0.698	0.302	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.698	0.302	0.000
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rs74691586 lBF = `9.21408` Chr`1` : `161,245,487`	0.698	0.302	0.000
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rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.697	0.303	0.000
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rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.697	0.303	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.697	0.303	0.000
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rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.691	0.308	0.000
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rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.691	0.309	0.000
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rs13207082 lBF = `171.541` Chr`6` : `27,251,379`	0.000	0.330	0.670
rs61493282 lBF = `2.16805` Chr`11` : `102,754,868`	0.670	0.330	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.669	0.330	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.669	0.331	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.668	0.332	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.668	0.332	0.000
rs9273502 lBF = `239.503` Chr`6` : `32,628,389`	0.668	0.332	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.668	0.332	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.668	0.332	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.668	0.332	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.668	0.332	0.000
rs2155929 lBF = `5.09992` Chr`18` : `26,606,647`	0.667	0.333	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.667	0.333	0.000
rs17346504 lBF = `2.48944` Chr`2` : `137,923,761`	0.667	0.333	0.000
rs2734839 lBF = `1.4984` Chr`11` : `113,286,490`	0.000	0.333	0.667
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.666	0.334	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.666	0.334	0.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.666	0.334	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.666	0.334	0.000
rs17368073 lBF = `7.77278` Chr`1` : `77,222,172`	0.666	0.334	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.665	0.335	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.665	0.335	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.665	0.335	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.665	0.335	0.000
rs9267673 lBF = `79.7719` Chr`6` : `31,883,679`	0.665	0.335	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.665	0.335	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.665	0.335	0.000
rs3025642 lBF = `5.84552` Chr`6` : `29,570,316`	0.665	0.335	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.664	0.336	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.664	0.336	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.664	0.336	0.000
rs17206232 lBF = `2.6394` Chr`5` : `64,433,400`	0.664	0.336	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.663	0.336	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.663	0.337	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.663	0.337	0.000
rs2844480 lBF = `73.2041` Chr`6` : `31,564,821`	0.663	0.337	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.662	0.337	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.662	0.337	0.000
rs71561142 lBF = `5.69059` Chr`6` : `8,859,635`	0.662	0.338	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.662	0.338	0.000
rs13422522 lBF = `3.63986` Chr`2` : `227,011,320`	0.662	0.338	0.000
rs7803069 lBF = `5.28469` Chr`7` : `34,238,688`	0.662	0.338	0.000
rs9874556 lBF = `2.79079` Chr`3` : `3,356,174`	0.662	0.338	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.662	0.338	0.000
rs10025074 lBF = `9.18864` Chr`4` : `95,474,562`	0.662	0.338	0.000
rs116161699 lBF = `8.96181` Chr`6` : `66,726,604`	0.662	0.338	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.661	0.338	0.000
rs74703823 lBF = `12.1497` Chr`3` : `3,162,708`	0.661	0.338	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.661	0.338	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.661	0.339	0.000
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.661	0.339	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.661	0.339	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.661	0.339	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.661	0.339	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.661	0.339	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.661	0.339	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.661	0.339	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.661	0.339	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.660	0.339	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.660	0.339	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.660	0.340	0.000
rs6907458 lBF = `57.9908` Chr`6` : `32,171,288`	0.660	0.340	0.000
rs2005108 lBF = `1.55637` Chr`11` : `102,770,353`	0.660	0.340	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.660	0.340	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.660	0.340	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.660	0.340	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.660	0.340	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.660	0.340	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.659	0.340	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.659	0.340	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.659	0.340	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.659	0.341	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.659	0.341	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.659	0.341	0.000
rs2236602 lBF = `12.1767` Chr`1` : `156,627,069`	0.659	0.341	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.659	0.341	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.659	0.341	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.659	0.341	0.000
rs2823779 lBF = `1.55455` Chr`21` : `17,768,524`	0.658	0.341	0.000
rs72704010 lBF = `16.7236` Chr`1` : `169,383,980`	0.658	0.342	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.658	0.342	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.658	0.342	0.000
rs7792596 lBF = `1.06288` Chr`7` : `94,009,634`	0.658	0.342	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.658	0.342	0.000
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	0.658	0.342	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.658	0.342	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.657	0.342	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.657	0.342	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.657	0.343	0.000
rs294588 lBF = `2.09432` Chr`5` : `162,998,515`	0.657	0.343	0.000
rs1208377 lBF = `17.1159` Chr`1` : `169,191,860`	0.657	0.343	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.657	0.343	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.656	0.344	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 X0286

log Bayes Factor = 30.6663

contains 3 variants

0.7169

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7160

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3683

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2935

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7169

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7169

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.7169

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7169

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7169

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7169

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7169

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.7169

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7169

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7169

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7168

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7168

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7168

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7168

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7168

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7168

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7167

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7167

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7167

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7167

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7164

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7163

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7162

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7161

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7160

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7149

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7147

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7142

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7140

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7131

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7129

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7127

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7125

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7121

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7109

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7108

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7106

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7098

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7097

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7077

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7064

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7047

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6998

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6985

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6979

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6979

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6978

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6965

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6961

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.6950

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6918

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6912

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6895

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6845

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6842

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6781

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6771

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6768

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6767

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6750

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6749

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6741

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6724

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6715

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6708

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6692

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6675

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6659

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6621

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6549

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6475

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6438

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6405

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6399

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6316

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6314

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6294

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6273

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6256

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6250

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6169

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6144

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6134

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6061

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6058

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6029

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5991

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5958

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5923

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5916

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5908

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5846

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5738

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5737

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5693

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5576

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5541

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5513

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5413

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5340

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5316

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5236

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5217

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5118

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5087

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5059

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4870

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4869

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4786

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4766

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4696

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4671

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4605

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4593

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4580

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4543

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4530

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4490

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4349

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4341

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4286

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4266

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4204

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4165

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4163

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4161

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4129

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4119

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4100

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3997

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3953

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3890

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3879

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3843

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3824

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3790

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3775

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3746

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3696

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3659

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.3540

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3389

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3333

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3270

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3266

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3227

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3144

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3080

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3066

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2874

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2865

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2835

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2730

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2710

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2709

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.2706

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2702

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2694

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2676

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2569

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2556

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2470

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2426

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2404

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2395

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2358

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2353

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2323

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2309

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2307

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2302

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2280

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2271

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2265

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2142

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2090

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1982

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1948

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1878

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1811

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1773

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1695

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1663

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1584

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1583

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1562

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1499

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1454

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1439

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1284

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1188

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1098

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1040

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1036

Cluster X0006

log Bayes Factor = 34.113

contains 4 variants

0.1029

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0994

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0993

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0880

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0872

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0777

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0642

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0636

Cluster X0016

log Bayes Factor = 246.869

contains 16 variants

0.0514

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`)