TreeWAS – [Z94.4] Liver transplant status

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
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.659	0.341	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.654	0.345	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.652	0.348	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.614	0.386	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.595	0.405	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.594	0.406	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.585	0.415	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.581	0.418	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.568	0.431	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.565	0.435	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.564	0.436	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.564	0.436	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.558	0.442	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.551	0.449	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.545	0.455	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.537	0.463	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.533	0.467	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.522	0.478	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.515	0.485	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.509	0.490	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.507	0.493	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.494	0.505	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.490	0.509	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.490	0.510	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.487	0.513	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.482	0.518	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.476	0.524	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.474	0.526	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.465	0.535	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.462	0.538	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.458	0.542	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.446	0.554	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.409	0.591	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.405	0.594	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.401	0.599	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.392	0.608	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.383	0.616	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.363	0.637	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.339	0.660	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.337	0.663	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.311	0.689	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.285	0.714	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.252	0.748	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.245	0.755	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.199	0.801	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.188	0.812	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.186	0.813	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.170	0.829	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.166	0.834	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.127	0.870	0.002
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.122	0.878	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.088	0.912	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.046	0.954	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.044	0.956	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.043	0.956	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.041	0.959	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.041	0.959	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.030	0.969	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.029	0.971	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.025	0.974	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.022	0.977	0.001
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.021	0.979	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.018	0.981	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.016	0.984	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.013	0.987	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.012	0.988	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.012	0.988	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.011	0.989	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.010	0.989	0.000
rs10520045 lBF = `0.0447628` Chr`15` : `36,313,965`	0.000	0.990	0.010
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.990	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.008	0.991	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.008	0.992	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.008	0.992	0.000
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	0.005	0.995	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.005	0.995	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.005
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.005	0.995	0.000
rs2238300 lBF = `0.00674349` Chr`15` : `89,851,580`	0.005	0.995	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.005	0.995	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.004	0.996	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.000	0.996	0.004
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs3212335 lBF = `-0.00861161` Chr`15` : `27,012,141`	0.000	0.997	0.003
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.003	0.997	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.003	0.997	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs951984 lBF = `16.3665` Chr`15` : `78,720,915`	0.003	0.997	0.000
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.003	0.997	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	0.997	0.003
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.003	0.997	0.000
rs12907866 lBF = `0.0835764` Chr`15` : `51,545,454`	0.000	0.998	0.002
rs4932217 lBF = `-0.105391` Chr`15` : `89,902,032`	0.002	0.998	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.002	0.998	0.000
rs7164569 lBF = `-0.0110508` Chr`15` : `31,793,930`	0.000	0.998	0.002
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.002	0.998	0.000
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	0.998	0.002
rs3784609 lBF = `-0.0716229` Chr`15` : `60,910,550`	0.002	0.998	0.000
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.002	0.998	0.000
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	0.002	0.998	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.002	0.998	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.002	0.998	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.002	0.998	0.000
rs72739921 lBF = `-0.0750047` Chr`15` : `60,270,750`	0.002	0.998	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	0.998	0.002
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.002	0.998	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.002	0.998	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.001	0.998	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.002	0.998	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.002	0.998	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.002	0.998	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.002	0.998	0.000
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.002	0.998	0.000
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.002	0.998	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.002	0.998	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.002	0.998	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.002	0.998	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.001	0.998	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.002	0.998	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.002	0.998	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.002	0.998	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.002	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.001	0.998	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.001	0.998	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.001	0.998	0.000
rs11072792 lBF = `13.1592` Chr`15` : `78,999,911`	0.001	0.998	0.000
rs12324805 lBF = `-0.0374731` Chr`15` : `82,352,200`	0.001	0.998	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.001	0.999	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.001	0.999	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.001	0.999	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.001	0.999	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.001	0.999	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.001	0.999	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.001	0.999	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.001	0.999	0.000
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	0.999	0.001
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.001	0.999	0.000
rs3971859 lBF = `12.95` Chr`15` : `79,026,277`	0.001	0.999	0.000
rs3971860 lBF = `12.95` Chr`15` : `79,026,278`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.001	0.999	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.001	0.999	0.000
rs4906844 lBF = `-0.0529965` Chr`15` : `26,277,545`	0.000	0.999	0.001
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.001	0.999	0.000
rs35583595 lBF = `13.4432` Chr`15` : `79,020,152`	0.001	0.999	0.000
rs4887077 lBF = `15.5143` Chr`15` : `78,978,364`	0.001	0.999	0.000
rs12901913 lBF = `15.3462` Chr`15` : `78,981,348`	0.001	0.999	0.000
rs11638372 lBF = `15.1961` Chr`15` : `78,983,559`	0.001	0.999	0.000
rs922692 lBF = `15.1186` Chr`15` : `78,984,214`	0.001	0.999	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.001	0.999	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	0.999	0.001
rs8027972 lBF = `12.657` Chr`15` : `79,022,615`	0.001	0.999	0.000
rs4420500 lBF = `10.4486` Chr`15` : `78,962,964`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.001	0.999	0.000
rs11072791 lBF = `13.9577` Chr`15` : `78,997,076`	0.001	0.999	0.000
rs4887087 lBF = `13.2234` Chr`15` : `79,026,541`	0.001	0.999	0.000
rs4887086 lBF = `12.9948` Chr`15` : `79,026,529`	0.001	0.999	0.000
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.001	0.999	0.000
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.000	0.999	0.001
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	0.999	0.001
rs11639049 lBF = `12.6971` Chr`15` : `79,023,730`	0.001	0.999	0.000
rs11639166 lBF = `12.6714` Chr`15` : `79,023,766`	0.001	0.999	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.001	0.999	0.000
rs11634543 lBF = `13.7153` Chr`15` : `79,005,504`	0.001	0.999	0.000
rs11629637 lBF = `13.3124` Chr`15` : `79,019,024`	0.001	0.999	0.000
rs2869554 lBF = `13.2393` Chr`15` : `79,021,037`	0.001	0.999	0.000
rs34563625 lBF = `13.2278` Chr`15` : `79,020,278`	0.001	0.999	0.000
rs3829786 lBF = `13.2228` Chr`15` : `79,019,546`	0.001	0.999	0.000
rs1825083 lBF = `13.1604` Chr`15` : `79,023,467`	0.001	0.999	0.000
rs34225855 lBF = `13.1227` Chr`15` : `79,022,136`	0.001	0.999	0.000
rs1825082 lBF = `12.968` Chr`15` : `79,023,433`	0.001	0.999	0.000
rs11639181 lBF = `12.8441` Chr`15` : `79,024,016`	0.001	0.999	0.000
rs11639382 lBF = `12.7981` Chr`15` : `79,024,268`	0.001	0.999	0.000
rs11639375 lBF = `12.7979` Chr`15` : `79,024,214`	0.001	0.999	0.000
rs11639347 lBF = `12.7116` Chr`15` : `79,024,350`	0.001	0.999	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.001	0.999	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.001	0.999	0.000
rs76919723 lBF = `13.6035` Chr`15` : `79,017,281`	0.001	0.999	0.000
rs4886587 lBF = `12.9685` Chr`15` : `79,026,822`	0.001	0.999	0.000
rs4886586 lBF = `12.8964` Chr`15` : `79,026,674`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs11638490 lBF = `13.7239` Chr`15` : `79,007,950`	0.001	0.999	0.000
rs8038543 lBF = `13.5425` Chr`15` : `79,017,685`	0.001	0.999	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.001	0.999	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.001	0.999	0.000
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.001	0.999	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs587847 lBF = `-0.0314841` Chr`15` : `37,660,049`	0.000	0.999	0.001
rs61996546 lBF = `-0.0681912` Chr`15` : `26,804,131`	0.000	0.999	0.001
rs12908207 lBF = `13.1797` Chr`15` : `79,025,963`	0.001	0.999	0.000
rs3894347 lBF = `13.1778` Chr`15` : `79,026,001`	0.001	0.999	0.000
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rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.000	0.999	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.001	0.999	0.000
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	0.999	0.001
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.000	0.999	0.001
rs1437588 lBF = `-0.0796046` Chr`15` : `96,809,782`	0.001	0.999	0.000
rs2004038 lBF = `11.3758` Chr`15` : `79,071,406`	0.001	0.999	0.000
rs4887109 lBF = `10.7029` Chr`15` : `79,074,294`	0.001	0.999	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.000	0.999	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.000	0.999	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	0.999	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.001	0.999	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	0.999	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	0.999	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	0.999	0.000
rs12595433 lBF = `-0.0640866` Chr`15` : `63,290,645`	0.001	0.999	0.000
rs62024995 lBF = `-0.0965659` Chr`15` : `98,712,452`	0.001	0.999	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	0.999	0.000
rs35474770 lBF = `11.4403` Chr`15` : `79,074,000`	0.001	0.999	0.000
rs36061084 lBF = `11.3186` Chr`15` : `79,074,253`	0.001	0.999	0.000
rs112321636 lBF = `11.2927` Chr`15` : `79,072,100`	0.001	0.999	0.000
rs2568485 lBF = `11.2894` Chr`15` : `78,752,114`	0.001	0.999	0.000
rs2938671 lBF = `11.1176` Chr`15` : `78,732,754`	0.001	0.999	0.000
rs4886590 lBF = `10.9795` Chr`15` : `79,074,506`	0.001	0.999	0.000
rs2656069 lBF = `10.9258` Chr`15` : `78,745,707`	0.001	0.999	0.000
rs2036529 lBF = `10.5537` Chr`15` : `78,726,272`	0.001	0.999	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.000	0.999	0.000
rs2388436 lBF = `0.494634` Chr`15` : `94,689,653`	0.000	0.999	0.001
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	0.999	0.000
rs12905273 lBF = `0.118888` Chr`15` : `79,002,755`	0.000	0.999	0.001
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	0.999	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	0.999	0.000
rs12907914 lBF = `-0.0185925` Chr`15` : `39,315,358`	0.000	0.999	0.001
rs2777491 lBF = `-0.053517` Chr`15` : `41,735,710`	0.000	0.999	0.000
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	0.999	0.000
rs4886591 lBF = `13.1684` Chr`15` : `79,074,518`	0.001	0.999	0.000
rs12913260 lBF = `12.0735` Chr`15` : `79,071,095`	0.001	0.999	0.000
rs924840 lBF = `11.0346` Chr`15` : `78,731,808`	0.000	0.999	0.000
rs2568483 lBF = `10.989` Chr`15` : `78,752,343`	0.000	0.999	0.000
rs2656070 lBF = `10.9751` Chr`15` : `78,730,252`	0.000	0.999	0.000
rs2568488 lBF = `10.9602` Chr`15` : `78,736,593`	0.000	0.999	0.000
rs2568493 lBF = `10.9512` Chr`15` : `78,740,233`	0.000	0.999	0.000
rs2568490 lBF = `10.9291` Chr`15` : `78,738,370`	0.000	0.999	0.000
rs2915695 lBF = `10.927` Chr`15` : `78,739,471`	0.000	0.999	0.000
rs2656071 lBF = `10.9174` Chr`15` : `78,745,343`	0.000	0.999	0.000
rs2958719 lBF = `10.9043` Chr`15` : `78,743,029`	0.000	0.999	0.000
rs2656073 lBF = `10.8682` Chr`15` : `78,742,276`	0.000	0.999	0.000
rs2656072 lBF = `10.8529` Chr`15` : `78,744,292`	0.000	0.999	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.000	0.999	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	0.999	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.000	0.999	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	0.999	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	0.999	0.000
rs2192224 lBF = `-0.0460639` Chr`15` : `27,376,623`	0.000	0.999	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.000	0.999	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.000	0.999	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	0.999	0.000
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.000	0.999	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.000	0.999	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	0.999	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	0.999	0.000
rs2652834 lBF = `0.0301153` Chr`15` : `63,396,867`	0.000	0.999	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.000	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	0.999	0.000
rs2562784 lBF = `-0.044072` Chr`15` : `84,286,492`	0.000	0.999	0.000
rs3825932 lBF = `-0.0834112` Chr`15` : `79,235,446`	0.000	0.999	0.000
rs11858159 lBF = `-0.106762` Chr`15` : `24,824,188`	0.000	0.999	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	0.999	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.000	0.999	0.000
rs11858210 lBF = `12.875` Chr`15` : `79,078,358`	0.000	0.999	0.000
rs2904220 lBF = `12.8397` Chr`15` : `79,076,704`	0.000	0.999	0.000
rs1825087 lBF = `12.8373` Chr`15` : `79,077,114`	0.000	0.999	0.000
rs12050525 lBF = `12.7855` Chr`15` : `79,075,746`	0.000	0.999	0.000
rs11072803 lBF = `12.7352` Chr`15` : `79,077,878`	0.000	0.999	0.000
rs11631955 lBF = `12.3799` Chr`15` : `79,085,915`	0.000	0.999	0.000
rs11632102 lBF = `11.961` Chr`15` : `79,086,057`	0.000	0.999	0.000
rs11072806 lBF = `11.8753` Chr`15` : `79,079,074`	0.000	0.999	0.000
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.000	0.999	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.000	0.999	0.000
rs2656074 lBF = `7.37439` Chr`15` : `78,741,384`	0.000	0.999	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.000	0.999	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	0.999	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	0.999	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.000	0.999	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.000	0.999	0.000
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.000	0.999	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	0.999	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	0.999	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	0.999	0.000
rs61524473 lBF = `-0.0299072` Chr`15` : `45,646,283`	0.000	0.999	0.000
rs930847 lBF = `-0.035237` Chr`15` : `101,558,562`	0.000	0.999	0.000
rs1153858 lBF = `-0.0380403` Chr`15` : `45,652,703`	0.000	0.999	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	0.999	0.000
rs12148329 lBF = `-0.0771872` Chr`15` : `81,001,278`	0.000	0.999	0.000
rs11071033 lBF = `-0.0835102` Chr`15` : `54,380,200`	0.000	0.999	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.000	1.000	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4661

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4541

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0539

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9999

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9926

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9906

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9873

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9871

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9815

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9808

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9737

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9681

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9648

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9591

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9532

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9471

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9462

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9452

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9433

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9421

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9364

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9342

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9312

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9296

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9277

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9245

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9238

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9158

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9106

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8962

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8958

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8917

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8914

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8846

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8791

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8749

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8735

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8715

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8713

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8669

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8597

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8555

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8543

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8447

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8378

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8324

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8210

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8181

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8169

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8106

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8101

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8099

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8066

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8035

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7988

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7929

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7909

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7788

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7756

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7751

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7722

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7704

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7686

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7647

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7559

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7536

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7527

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7512

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7506

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7503

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7493

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7167

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7164

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7158

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7131

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7107

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7053

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7041

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6998

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6988

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6955

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6896

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6853

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6849

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6804

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6771

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6736

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6648

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6640

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6624

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6541

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6378

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6339

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6221

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6207

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5967

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5855

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5849

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5817

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5785

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5639

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5619

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5462

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5449

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5410

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5033

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5032

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4948

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4805

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4787

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4689

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4628

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4513

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4174

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3861

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3742

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3710

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3706

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3628

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3319

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3143

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3130

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3083

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3031

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2911

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2675

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2660

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2458

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2089

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1877

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1794

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1790

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1439

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1301

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1230

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1067

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1065

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0793

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0653

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0532

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`)