TreeWAS – [Z94.1] Heart 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
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.676	0.324	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.659	0.341	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.652	0.348	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.615	0.385	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
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.586	0.413	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
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.570	0.430	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.565	0.435	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
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.545	0.455	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.536	0.464	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.533	0.467	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.525	0.474	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
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.508	0.492	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`	0.411	0.589	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
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
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.356	0.644	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`	0.319	0.681	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`	0.246	0.754	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`	0.141	0.856	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
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.052	0.948	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.050	0.950	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.043	0.956	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.042	0.957	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.041	0.959	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.030	0.970	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`	0.028	0.972	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.023	0.977	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.022	0.977	0.001
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`	0.013	0.987	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
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.990	0.000
rs10520045 lBF = `0.0447628` Chr`15` : `36,313,965`	0.000	0.991	0.009
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.008	0.991	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.008	0.992	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.007	0.992	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
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.005	0.995	0.000
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	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
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.004	0.996	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.004	0.996	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	0.997	0.003
rs3212335 lBF = `-0.00861161` Chr`15` : `27,012,141`	0.000	0.998	0.002
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.002	0.998	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.002	0.998	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.002	0.998	0.000
rs2238300 lBF = `0.00674349` Chr`15` : `89,851,580`	0.002	0.998	0.000
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.002	0.998	0.000
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
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.002	0.998	0.000
rs8041675 lBF = `-0.0735212` Chr`15` : `37,342,602`	0.002	0.998	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.001	0.998	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	0.998	0.002
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.001	0.998	0.000
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	0.998	0.002
rs4932217 lBF = `-0.105391` Chr`15` : `89,902,032`	0.002	0.998	0.000
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.001	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.001	0.999	0.000
rs1869901 lBF = `-0.0914663` Chr`15` : `40,595,627`	0.001	0.999	0.000
rs4906844 lBF = `-0.0529965` Chr`15` : `26,277,545`	0.000	0.999	0.001
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.001	0.999	0.000
rs7164569 lBF = `-0.0110508` Chr`15` : `31,793,930`	0.000	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.000	0.999	0.001
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.001	0.999	0.000
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.001	0.999	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	0.999	0.001
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.001	0.999	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.001	0.999	0.000
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.001	0.999	0.000
rs951984 lBF = `16.3665` Chr`15` : `78,720,915`	0.001	0.999	0.000
rs588136 lBF = `0.0543852` Chr`15` : `58,730,498`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs7167085 lBF = `15.101` Chr`15` : `91,406,188`	0.000	0.999	0.001
rs261334 lBF = `0.0183237` Chr`15` : `58,726,744`	0.000	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	0.999	0.001
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.000	0.999	0.001
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
rs824192 lBF = `-0.0800546` Chr`15` : `24,002,327`	0.000	0.999	0.001
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs587847 lBF = `-0.0314841` Chr`15` : `37,660,049`	0.000	0.999	0.001
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.001
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.001	0.999	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.001	0.999	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.001	0.999	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.001	0.999	0.000
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs115942227 lBF = `-0.00000509` Chr`15` : `58,105,033`	0.000	0.999	0.001
rs180709182 lBF = `-0.00002313` Chr`15` : `47,998,630`	0.000	0.999	0.001
rs3751599 lBF = `-0.00002368` Chr`15` : `51,573,533`	0.001	0.999	0.000
rs150978828 lBF = `-0.00002407` Chr`15` : `37,500,185`	0.001	0.999	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.001	0.999	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.999	0.000
rs10852151 lBF = `0.713437` Chr`15` : `92,083,295`	0.001	0.999	0.000
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.001	0.999	0.000
rs8034595 lBF = `-0.0472016` Chr`15` : `96,719,229`	0.001	0.999	0.000
rs11330240 lBF = `53.4098` Chr`15` : `91,428,521`	0.001	0.999	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.001	0.999	0.000
rs12324805 lBF = `-0.0374731` Chr`15` : `82,352,200`	0.001	0.999	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.001	0.999	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.001	0.999	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.001	0.999	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.001	0.999	0.000
rs958025 lBF = `9.05584` Chr`15` : `78,759,348`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.001	0.999	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	0.999	0.001
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.001	0.999	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.001	0.999	0.000
rs2568499 lBF = `10.2112` Chr`15` : `78,722,359`	0.000	0.999	0.001
rs2656056 lBF = `10.2112` Chr`15` : `78,722,519`	0.000	0.999	0.001
rs2568497 lBF = `9.97824` Chr`15` : `78,721,397`	0.000	0.999	0.001
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.001	0.999	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.001	0.999	0.000
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	0.999	0.001
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.001	0.999	0.000
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rs2562784 lBF = `-0.044072` Chr`15` : `84,286,492`	0.000	0.999	0.000
rs12593813 lBF = `-0.0607882` Chr`15` : `68,036,852`	0.000	0.999	0.000
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.000	0.999	0.000
rs28498264 lBF = `18.6374` Chr`15` : `78,837,673`	0.000	0.999	0.000
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	0.999	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.000	0.999	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.000	0.999	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.000	0.999	0.000
rs12441088 lBF = `6.3773` Chr`15` : `78,928,264`	0.000	0.999	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.000	0.999	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.000	0.999	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	0.999	0.000
rs2414739 lBF = `0.0198079` Chr`15` : `61,994,134`	0.000	0.999	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	0.999	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	0.999	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	0.999	0.000
rs4965593 lBF = `-0.0671532` Chr`15` : `100,758,385`	0.000	0.999	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.000	1.000	0.000
rs17294280 lBF = `9.90458` Chr`15` : `67,468,285`	0.000	1.000	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.000	1.000	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	1.000	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.000	1.000	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	1.000	0.000
rs56050415 lBF = `0.00309945` Chr`15` : `58,574,966`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.000	1.000	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	1.000	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.000	1.000	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	1.000	0.000
rs285757 lBF = `-0.0915449` Chr`15` : `93,179,175`	0.000	1.000	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	1.000	0.000
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	1.000	0.000
rs4461039 lBF = `19.9477` Chr`15` : `78,817,447`	0.000	1.000	0.000
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	1.000	0.000
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.000	1.000	0.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	1.000	0.000
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.000	1.000	0.000
rs7169584 lBF = `19.7428` Chr`15` : `78,822,660`	0.000	1.000	0.000
rs7181447 lBF = `19.7385` Chr`15` : `78,814,567`	0.000	1.000	0.000
rs7181245 lBF = `19.7337` Chr`15` : `78,814,389`	0.000	1.000	0.000
rs2036534 lBF = `19.5552` Chr`15` : `78,826,948`	0.000	1.000	0.000
rs12438659 lBF = `19.3395` Chr`15` : `78,824,924`	0.000	1.000	0.000
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.000	1.000	0.000
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	1.000	0.000
rs59683676 lBF = `19.0249` Chr`15` : `78,833,453`	0.000	1.000	0.000
rs34138960 lBF = `18.8882` Chr`15` : `78,831,668`	0.000	1.000	0.000
rs34664138 lBF = `18.8882` Chr`15` : `78,831,624`	0.000	1.000	0.000
rs35212593 lBF = `18.8452` Chr`15` : `78,831,826`	0.000	1.000	0.000
rs905739 lBF = `18.6441` Chr`15` : `78,845,110`	0.000	1.000	0.000
rs3813570 lBF = `18.5201` Chr`15` : `78,832,832`	0.000	1.000	0.000
rs12439240 lBF = `18.4763` Chr`15` : `78,829,091`	0.000	1.000	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.000	1.000	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.000	1.000	0.000
rs7173419 lBF = `0.066687` Chr`15` : `28,196,821`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs1902618 lBF = `-0.0294751` Chr`15` : `61,164,199`	0.000	1.000	0.000
rs2929278 lBF = `-0.0360307` Chr`15` : `44,250,313`	0.000	1.000	0.000
rs2777491 lBF = `-0.053517` Chr`15` : `41,735,710`	0.000	1.000	0.000
rs2238355 lBF = `-0.0888031` Chr`15` : `92,685,778`	0.000	1.000	0.000
rs12595305 lBF = `-0.0891017` Chr`15` : `89,899,624`	0.000	1.000	0.000
rs920915 lBF = `-0.0906984` Chr`15` : `58,688,467`	0.000	1.000	0.000
rs2137111 lBF = `-0.0912515` Chr`15` : `77,851,535`	0.000	1.000	0.000
rs10906982 lBF = `-0.111832` Chr`15` : `84,568,158`	0.000	1.000	0.000
rs338389 lBF = `-0.117711` Chr`15` : `68,260,008`	0.000	1.000	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.000	1.000	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.000	1.000	0.000
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	1.000	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.000	1.000	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs7165042 lBF = `13.4045` Chr`15` : `79,123,338`	0.000	1.000	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.000	1.000	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.000	1.000	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.000	1.000	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	1.000	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.6370

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4661

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0550

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9532

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9347

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9153

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9117

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9045

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9030

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8641

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8526

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8357

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8320

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8242

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8240

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8126

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8043

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7919

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7792

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7713

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7568

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7503

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7391

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7283

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7271

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7168

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7167

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7165

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7160

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7159

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7158

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7156

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7152

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7151

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7149

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7146

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7145

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7144

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7131

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7129

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7125

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7107

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7101

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7085

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7068

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7056

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7053

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7041

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7037

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7024

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7010

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6998

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6972

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6955

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6950

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6927

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6923

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6904

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6896

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6867

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6855

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6852

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6849

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6826

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6771

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6769

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6762

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6736

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6700

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6648

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6643

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6640

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6612

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6597

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6550

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6546

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6542

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6492

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6490

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6474

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6460

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6399

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6378

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6342

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6264

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6256

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6230

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6140

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6111

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6043

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5978

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5846

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5630

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5621

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5597

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5507

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5356

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5343

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5087

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5024

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5006

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4943

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4885

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4733

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4689

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4459

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4455

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4436

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4352

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4312

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3711

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3706

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3272

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3188

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3147

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3143

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3101

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3031

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2900

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2754

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2458

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2458

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2370

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2312

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2239

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2234

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1946

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1926

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1626

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1415

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1252

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1231

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1097

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0963

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0869

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0526

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0509

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`)