TreeWAS – [F10.7] Residual and late-onset psychotic disorder

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
rs12710729 lBF = `5.40936` Chr`2` : `19,973,210`	0.848	0.152	0.000
rs4851251 lBF = `2.78973` Chr`2` : `100,753,490`	0.838	0.162	0.000
rs10865035 lBF = `1.40846` Chr`2` : `100,835,734`	0.000	0.208	0.792
rs1789924 lBF = `3.64487` Chr`4` : `100,274,286`	0.787	0.213	0.000
rs7714832 lBF = `8.63638` Chr`5` : `149,675,169`	0.779	0.221	0.000
rs10490871 lBF = `6.36422` Chr`3` : `35,667,761`	0.777	0.222	0.000
rs4987094 lBF = `1.63764` Chr`11` : `113,215,923`	0.771	0.229	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.770	0.230	0.000
rs2456203 lBF = `1.36276` Chr`5` : `52,179,790`	0.756	0.244	0.000
rs1757945 lBF = `6.0069` Chr`9` : `81,339,569`	0.000	0.245	0.755
rs1867631 lBF = `1.63686` Chr`1` : `67,046,126`	0.743	0.257	0.000
rs72678071 lBF = `6.2551` Chr`14` : `50,071,603`	0.720	0.280	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.283	0.717
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.717	0.283	0.000
rs881826 lBF = `5.51054` Chr`6` : `112,301,625`	0.717	0.283	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.717	0.283	0.000
rs1789891 lBF = `10.4358` Chr`4` : `100,250,419`	0.717	0.283	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.717	0.283	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.717	0.283	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.717	0.283	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.717	0.283	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.717	0.283	0.000
rs7516789 lBF = `13.6841` Chr`1` : `67,945,956`	0.717	0.283	0.000
rs7756047 lBF = `8.51794` Chr`6` : `100,626,847`	0.717	0.283	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.717	0.283	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.717	0.283	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.717	0.283	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.717	0.283	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.717	0.283	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.717	0.283	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.717	0.283	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.717	0.283	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.717	0.283	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.717	0.283	0.000
rs3806175 lBF = `11.6012` Chr`1` : `87,793,730`	0.717	0.283	0.000
rs7148147 lBF = `5.89661` Chr`14` : `50,074,520`	0.717	0.283	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.716	0.283	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.716	0.283	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.716	0.283	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.716	0.283	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.716	0.283	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.716	0.284	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.716	0.284	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.716	0.284	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.716	0.284	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.716	0.284	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.716	0.284	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.716	0.284	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.716	0.284	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.716	0.284	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.716	0.284	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.716	0.284	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.716	0.284	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.716	0.284	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.716	0.284	0.000
rs17286571 lBF = `9.16223` Chr`5` : `139,387,793`	0.716	0.284	0.000
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.715	0.284	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.715	0.284	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.715	0.284	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.715	0.284	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.715	0.285	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.715	0.285	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.715	0.285	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.715	0.285	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.715	0.285	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.715	0.285	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.715	0.285	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.715	0.285	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.715	0.285	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.715	0.285	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.715	0.285	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.715	0.285	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.715	0.285	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.714	0.285	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.714	0.285	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.714	0.286	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.714	0.286	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.714	0.286	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.714	0.286	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.714	0.286	0.000
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.714	0.286	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.714	0.286	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.714	0.286	0.000
rs74691586 lBF = `9.21408` Chr`1` : `161,245,487`	0.714	0.286	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.714	0.286	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.714	0.286	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.714	0.286	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.714	0.286	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.714	0.286	0.000
rs6746528 lBF = `17.4769` Chr`2` : `241,659,675`	0.714	0.286	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.714	0.286	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.714	0.286	0.000
rs7673183 lBF = `8.12216` Chr`4` : `123,142,270`	0.713	0.286	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.713	0.286	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.713	0.286	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.713	0.287	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.713	0.287	0.000
rs62106258 lBF = `13.2334` Chr`2` : `417,167`	0.000	0.287	0.713
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.713	0.287	0.000
rs114679905 lBF = `9.02093` Chr`3` : `135,418,841`	0.713	0.287	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.713	0.287	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.713	0.287	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.713	0.287	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.713	0.287	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.713	0.287	0.000
rs440837 lBF = `2.52151` Chr`8` : `81,461,974`	0.713	0.287	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.713	0.287	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.713	0.287	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.713	0.287	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.713	0.287	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.713	0.287	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.713	0.287	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.713	0.287	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.712	0.288	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.712	0.288	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.712	0.288	0.000
rs9666585 lBF = `10.3192` Chr`11` : `9,235,473`	0.712	0.288	0.000
rs115759551 lBF = `12.7074` Chr`1` : `156,963,356`	0.712	0.288	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.712	0.288	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.712	0.288	0.000
rs150097632 lBF = `16.4138` Chr`21` : `40,688,518`	0.712	0.288	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.712	0.288	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.712	0.288	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.712	0.288	0.000
rs9653442 lBF = `1.18969` Chr`2` : `100,825,367`	0.000	0.288	0.712
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.711	0.288	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.711	0.289	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.711	0.289	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.711	0.289	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.711	0.289	0.000
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.711	0.289	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.711	0.289	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.711	0.289	0.000
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.711	0.289	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.711	0.289	0.000
rs72944217 lBF = `9.75405` Chr`6` : `112,168,187`	0.711	0.289	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.711	0.289	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.711	0.289	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.711	0.289	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.711	0.289	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.710	0.289	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.710	0.290	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.710	0.290	0.000
rs7749983 lBF = `2.13387` Chr`6` : `129,874,355`	0.000	0.290	0.710
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.710	0.290	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.710	0.290	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.710	0.290	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.709	0.290	0.000
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.709	0.290	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.709	0.290	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.709	0.291	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.709	0.291	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.709	0.291	0.000
rs7744212 lBF = `15.9284` Chr`6` : `112,275,639`	0.709	0.291	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.709	0.291	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.709	0.291	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.709	0.291	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.709	0.291	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.709	0.291	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.709	0.291	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.709	0.291	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.709	0.291	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.709	0.291	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.709	0.291	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.709	0.291	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.708	0.291	0.000
rs76086850 lBF = `17.5203` Chr`6` : `152,508,097`	0.708	0.291	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.708	0.291	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.708	0.292	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.708	0.292	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.708	0.292	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.708	0.292	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.708	0.292	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.708	0.292	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.708	0.292	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.708	0.292	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.708	0.292	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.708	0.292	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.707	0.293	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.707	0.293	0.000
rs17496354 lBF = `5.1598` Chr`9` : `140,566,936`	0.707	0.293	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.707	0.293	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.707	0.293	0.000
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.707	0.293	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.707	0.293	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.707	0.293	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.706	0.293	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.706	0.293	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.706	0.294	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.706	0.294	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.706	0.294	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.706	0.294	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.706	0.294	0.000
rs12042107 lBF = `1.31747` Chr`1` : `91,196,176`	0.000	0.294	0.706
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.706	0.294	0.000
rs62263033 lBF = `4.70416` Chr`3` : `48,370,424`	0.706	0.294	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.706	0.294	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.706	0.294	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.706	0.294	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.706	0.294	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.705	0.295	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.705	0.295	0.000
rs8058295 lBF = `1.23133` Chr`16` : `9,911,386`	0.705	0.295	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.704	0.295	0.000
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rs17783658 lBF = `5.27728` Chr`6` : `81,762,310`	0.674	0.326	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.673	0.327	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.673	0.327	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.673	0.327	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.673	0.327	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.673	0.327	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.673	0.327	0.000
rs62221577 lBF = `8.78053` Chr`21` : `33,164,508`	0.672	0.327	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.672	0.328	0.000
rs72938048 lBF = `8.33195` Chr`6` : `100,389,267`	0.672	0.328	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.672	0.328	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.672	0.328	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.671	0.329	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.671	0.329	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.671	0.329	0.000
rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.670	0.330	0.000
rs613872 lBF = `11.527` Chr`18` : `53,210,302`	0.000	0.330	0.670
rs72648438 lBF = `7.6831` Chr`1` : `17,923,847`	0.670	0.330	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.670	0.330	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.670	0.330	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.670	0.330	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.669	0.330	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.669	0.330	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.669	0.331	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.669	0.331	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.669	0.331	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.669	0.331	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.669	0.331	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.668	0.332	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.668	0.332	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.667	0.333	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.667	0.333	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.666	0.333	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.666	0.334	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.666	0.334	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.666	0.334	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.666	0.334	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.666	0.334	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.666	0.334	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.666	0.334	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.665	0.335	0.000
rs61129840 lBF = `17.9422` Chr`3` : `16,363,529`	0.664	0.336	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.664	0.336	0.000
rs116039626 lBF = `1.7111` Chr`2` : `236,353,735`	0.663	0.336	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.663	0.337	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.663	0.337	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.663	0.337	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.663	0.337	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.663	0.337	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.663	0.337	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.663	0.337	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.663	0.337	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.663	0.337	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.663	0.337	0.000
rs56081191 lBF = `1.28529` Chr`6` : `98,557,732`	0.662	0.337	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.662	0.338	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.661	0.338	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.661	0.339	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.661	0.339	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.661	0.339	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.661	0.339	0.000
rs146733600 lBF = `68.4232` Chr`6` : `32,573,760`	0.660	0.339	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.660	0.340	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.660	0.340	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.660	0.340	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.659	0.341	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.659	0.341	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.659	0.341	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.658	0.341	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.658	0.341	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.658	0.342	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.658	0.342	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.658	0.342	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.658	0.342	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.658	0.342	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.658	0.342	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.657	0.342	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.657	0.343	0.000
rs13214703 lBF = `151.316` Chr`6` : `27,941,387`	0.657	0.343	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.657	0.343	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.657	0.343	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.657	0.343	0.000
rs7611684 lBF = `2.94823` Chr`3` : `23,482,812`	0.657	0.343	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.657	0.343	0.000
rs2555469 lBF = `76.5082` Chr`6` : `32,179,494`	0.657	0.343	0.000
rs10899489 lBF = `1.43621` Chr`11` : `78,095,373`	0.656	0.344	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.656	0.344	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.656	0.344	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.656	0.344	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.656	0.344	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.656	0.344	0.000
rs11118844 lBF = `1.43161` Chr`1` : `221,910,288`	0.655	0.345	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.655	0.345	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.655	0.345	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 X0260

log Bayes Factor = 16.5601

contains 2 variants

0.7547

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7169

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2980

Cluster X0187

log Bayes Factor = 30.7009

contains 1 variants

0.0713

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8340

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.8233

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.7773

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.7197

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7169

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7169

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7169

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7169

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7169

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7169

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7169

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7169

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7169

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7169

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7169

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7169

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7169

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7169

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7169

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7169

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7169

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7169

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7169

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7168

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7168

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7168

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7167

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7166

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7165

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7164

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7164

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7163

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7161

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7160

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7159

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7152

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7151

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7149

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7145

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7145

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7083

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6988

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6978

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6946

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6908

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6881

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6836

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6768

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6719

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6708

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6595

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6426

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6109

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6052

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6037

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5850

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5606

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5574

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5510

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5433

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5391

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5326

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5201

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5199

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5140

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4978

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4955

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.4132

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3929

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3870

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3800

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3786

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3479

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3342

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3320

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3243

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3055

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2943

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2921

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2810

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2746

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2343

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2334

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2190

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2148

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1974

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1871

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1832

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1798

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1794

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1790

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1781

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1762

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1745

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1722

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1717

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1565

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1499

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1495

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1490

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1254

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1232

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1225

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1204

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1181

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1158

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1153

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1150

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1135

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1109

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1098

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0976

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0896

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0865

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0862

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0666

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0663

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0661

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0659

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0554

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0553

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0528

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0510

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`)