TreeWAS – [Z94] Transplanted organ and tissue 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`	0.919	0.081	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.909	0.091	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.858	0.142	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.830	0.170	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.828	0.172	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.818	0.182	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.816	0.184	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.811	0.189	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.795	0.205	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.793	0.207	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.788	0.212	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.786	0.214	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.778	0.222	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.761	0.239	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.744	0.256	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.733	0.267	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.732	0.268	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.718	0.282	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.710	0.290	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.707	0.293	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.699	0.301	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.690	0.310	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.684	0.316	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.683	0.317	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.680	0.320	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.673	0.327	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.664	0.336	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.661	0.339	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.648	0.352	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.644	0.356	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.638	0.362	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.622	0.377	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.573	0.427	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.565	0.434	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.559	0.441	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.535	0.465	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.506	0.493	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.497	0.503	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.473	0.526	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.470	0.530	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.445	0.555	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.398	0.602	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.352	0.648	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.343	0.657	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.277	0.722	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.262	0.738	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.260	0.740	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.238	0.762	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.231	0.769	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.197	0.800	0.003
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.169	0.830	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.123	0.877	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.069	0.931	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.061	0.939	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.060	0.939	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.059	0.941	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.057	0.943	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.041	0.958	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.041	0.959	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.039	0.961	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.031	0.969	0.001
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.028	0.972	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.025	0.975	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.022	0.978	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.018	0.982	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.017	0.983	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.016	0.984	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.014	0.985	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.014	0.986	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.013	0.987	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.012	0.988	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.011	0.989	0.000
rs10520045 lBF = `0.0447628` Chr`15` : `36,313,965`	0.000	0.989	0.011
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.010	0.990	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.007	0.993	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.993	0.007
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.007	0.993	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.006	0.994	0.000
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	0.006	0.994	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.005	0.995	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.005	0.995	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.005	0.995	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.005	0.995	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.004	0.995	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.004	0.996	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.004	0.996	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	0.996	0.004
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.003	0.997	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.003	0.997	0.000
rs3212335 lBF = `-0.00861161` Chr`15` : `27,012,141`	0.000	0.997	0.003
rs2238300 lBF = `0.00674349` Chr`15` : `89,851,580`	0.002	0.998	0.000
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	0.998	0.002
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.002	0.998	0.000
rs3784609 lBF = `-0.0716229` Chr`15` : `60,910,550`	0.002	0.998	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.002	0.998	0.000
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.002	0.998	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.002	0.998	0.000
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.002	0.998	0.000
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.002	0.998	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.002	0.998	0.000
rs4906844 lBF = `-0.0529965` Chr`15` : `26,277,545`	0.000	0.998	0.002
rs4932217 lBF = `-0.105391` Chr`15` : `89,902,032`	0.002	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.002	0.998	0.000
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.998	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	0.998	0.002
rs7164569 lBF = `-0.0110508` Chr`15` : `31,793,930`	0.000	0.998	0.002
rs951984 lBF = `16.3665` Chr`15` : `78,720,915`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.001
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.001	0.999	0.000
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	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
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.001	0.999	0.000
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs10852151 lBF = `0.713437` Chr`15` : `92,083,295`	0.001	0.999	0.000
rs12324805 lBF = `-0.0374731` Chr`15` : `82,352,200`	0.001	0.999	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.001	0.999	0.000
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.000	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	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
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	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
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
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
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
rs16958536 lBF = `0` Chr`15` : `47,029,906`	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
rs4775302 lBF = `0` Chr`15` : `46,639,808`	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
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	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
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.001	0.999	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	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
rs587847 lBF = `-0.0314841` Chr`15` : `37,660,049`	0.000	0.999	0.001
rs588136 lBF = `0.0543852` Chr`15` : `58,730,498`	0.000	0.999	0.001
rs261334 lBF = `0.0183237` Chr`15` : `58,726,744`	0.000	0.999	0.001
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	0.999	0.001
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	0.001	0.999	0.000
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	0.999	0.001
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.001	0.999	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.999	0.000
rs11330240 lBF = `53.4098` Chr`15` : `91,428,521`	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
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	0.999	0.001
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.001	0.999	0.000
rs8034595 lBF = `-0.0472016` Chr`15` : `96,719,229`	0.001	0.999	0.000
rs1869901 lBF = `-0.0914663` Chr`15` : `40,595,627`	0.001	0.999	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	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
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
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.001	0.999	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.001	0.999	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.001	0.999	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.001	0.999	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.001	0.999	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.001	0.999	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.001	0.999	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.001	0.999	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.001	0.999	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs10519005 lBF = `0.0808155` Chr`15` : `59,711,691`	0.000	0.999	0.001
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.001	0.999	0.000
rs1077834 lBF = `-0.0167799` Chr`15` : `58,723,479`	0.001	0.999	0.000
rs2070895 lBF = `-0.0197178` Chr`15` : `58,723,939`	0.001	0.999	0.000
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	0.999	0.001
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rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs7179575 lBF = `-0.0527773` Chr`15` : `27,323,199`	0.000	1.000	0.000
rs2453533 lBF = `-0.0781824` Chr`15` : `45,641,225`	0.000	1.000	0.000
rs2467853 lBF = `-0.0789371` Chr`15` : `45,698,793`	0.000	1.000	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.000	1.000	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.000	1.000	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.000	1.000	0.000
rs4468572 lBF = `12.8978` Chr`15` : `79,124,475`	0.000	1.000	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.000	1.000	0.000
rs958025 lBF = `9.05584` Chr`15` : `78,759,348`	0.000	1.000	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.000	1.000	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.000	1.000	0.000
rs2656074 lBF = `7.37439` Chr`15` : `78,741,384`	0.000	1.000	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.000	1.000	0.000
rs12148477 lBF = `0.256964` Chr`15` : `51,653,119`	0.000	1.000	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.000	1.000	0.000
rs17730436 lBF = `0.0220115` Chr`15` : `53,942,928`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs2725544 lBF = `-0.0424449` Chr`15` : `48,992,897`	0.000	1.000	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	1.000	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	1.000	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.000	1.000	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.000	1.000	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.000	1.000	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.000	1.000	0.000
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.000	1.000	0.000
rs7174348 lBF = `10.7242` Chr`15` : `78,792,439`	0.000	1.000	0.000
rs74925218 lBF = `10.5539` Chr`15` : `78,796,732`	0.000	1.000	0.000
rs2036533 lBF = `10.5388` Chr`15` : `78,781,687`	0.000	1.000	0.000
rs28511883 lBF = `10.4965` Chr`15` : `78,783,683`	0.000	1.000	0.000
rs10851906 lBF = `10.4861` Chr`15` : `78,774,676`	0.000	1.000	0.000
rs12101809 lBF = `10.4802` Chr`15` : `78,779,801`	0.000	1.000	0.000
rs35031105 lBF = `10.4116` Chr`15` : `78,772,806`	0.000	1.000	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	1.000	0.000
rs4924410 lBF = `0.0702866` Chr`15` : `40,339,494`	0.000	1.000	0.000
rs3867498 lBF = `0.0545376` Chr`15` : `25,078,787`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs17612678 lBF = `-0.0232809` Chr`15` : `93,815,129`	0.000	1.000	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.000	1.000	0.000
rs12899618 lBF = `-0.03096` Chr`15` : `71,645,120`	0.000	1.000	0.000
rs12901001 lBF = `-0.0336949` Chr`15` : `86,859,476`	0.000	1.000	0.000
rs8041675 lBF = `-0.0735212` Chr`15` : `37,342,602`	0.000	1.000	0.000
rs2137111 lBF = `-0.0912515` Chr`15` : `77,851,535`	0.000	1.000	0.000
rs950027 lBF = `-0.0999884` Chr`15` : `45,801,035`	0.000	1.000	0.000
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.000	1.000	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	1.000	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.000	1.000	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.000	1.000	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.000	1.000	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.000	1.000	0.000
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.000	1.000	0.000
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	1.000	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.000	1.000	0.000
rs11072791 lBF = `13.9577` Chr`15` : `78,997,076`	0.000	1.000	0.000
rs12907764 lBF = `12.9263` Chr`15` : `79,070,438`	0.000	1.000	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.000	1.000	0.000
rs11072766 lBF = `10.1465` Chr`15` : `78,771,546`	0.000	1.000	0.000
rs9672608 lBF = `10.0134` Chr`15` : `78,797,463`	0.000	1.000	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.000	1.000	0.000
rs7174190 lBF = `9.73367` Chr`15` : `78,763,617`	0.000	1.000	0.000
rs28480606 lBF = `9.70409` Chr`15` : `78,762,313`	0.000	1.000	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	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

0.8885

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6501

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0765

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9999

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9999

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9997

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9996

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9994

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9987

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9987

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9986

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9984

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9982

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9981

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9978

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9976

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9975

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9972

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9968

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9967

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9965

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9946

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9944

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9938

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9913

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9905

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9882

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9852

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9847

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9842

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9838

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9838

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9830

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9822

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9815

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9798

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9793

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9777

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9777

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9762

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9752

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9725

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9701

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9694

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9662

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9657

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9656

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9631

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9619

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9578

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9567

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9562

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9558

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9554

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9521

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9444

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9433

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9395

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9346

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9305

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9298

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9278

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9274

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9266

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9261

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9223

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9202

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9136

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9131

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9126

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9056

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9053

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9033

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9030

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9010

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8926

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8896

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8737

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8690

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8652

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8564

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8525

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8338

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8327

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8250

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8154

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8120

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7840

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7807

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7681

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7606

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7470

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7453

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7266

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7224

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7095

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7007

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6982

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6894

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6834

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6813

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6601

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6540

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6219

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6213

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6014

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5176

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5174

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5169

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4563

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4446

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4425

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4389

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4383

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4325

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4226

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3841

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3432

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3427

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3304

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3121

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3104

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3032

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2989

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2713

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2685

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1972

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1716

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1701

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1637

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1529

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1211

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1111

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0656

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0607

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0522

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.

Parent term	Z80-Z99 Persons with potential health hazards related to family and personal history and certain conditions influencing health status
Nested terms	Z94.0 Kidney transplant status Z94.1 Heart transplant status Z94.2 Lung transplant status Z94.3 Heart and lungs transplant status Z94.4 Liver transplant status Z94.5 Skin transplant status Z94.6 Bone transplant status Z94.7 Corneal transplant status Z94.8 Other transplanted organ and tissue status Z94.9 Transplanted organ and tissue status, unspecified

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`)