TreeWAS – [Z94.8] Other 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
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.803	0.197	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.750	0.250	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.725	0.275	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.684	0.316	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.641	0.359	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.631	0.369	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.630	0.370	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.616	0.384	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.598	0.401	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.588	0.411	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.584	0.415	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.579	0.421	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.572	0.428	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.539	0.461	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.529	0.471	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.520	0.480	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.515	0.485	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.512	0.488	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.512	0.488	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.509	0.490	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.500	0.499	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.491	0.509	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.490	0.510	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.476	0.524	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.474	0.525	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.471	0.529	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.465	0.534	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.454	0.546	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.446	0.554	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.428	0.571	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.414	0.586	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.401	0.599	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.399	0.601	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.364	0.636	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.345	0.655	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.339	0.660	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.328	0.671	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.318	0.682	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.308	0.691	0.001
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.297	0.703	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.274	0.726	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.269	0.731	0.001
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.253	0.747	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.234	0.765	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.193	0.807	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.186	0.813	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.151	0.849	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.137	0.863	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.124	0.876	0.001
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.103	0.895	0.002
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.088	0.912	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.068	0.932	0.001
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.054	0.946	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`	0.036	0.964	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.033	0.967	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.031	0.969	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.030	0.970	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.024	0.976	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.023	0.977	0.001
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.021	0.979	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.019	0.981	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.016	0.984	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.014	0.986	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.013	0.986	0.001
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.013	0.987	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.012	0.988	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.012	0.988	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	0.991	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`	0.008	0.992	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	0.992	0.008
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.005
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.005	0.995	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.005	0.995	0.000
rs3212335 lBF = `-0.00861161` Chr`15` : `27,012,141`	0.000	0.995	0.005
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.004	0.996	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.004	0.996	0.000
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.004	0.996	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.004	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs930847 lBF = `-0.035237` Chr`15` : `101,558,562`	0.000	0.996	0.004
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.003	0.996	0.000
rs3784609 lBF = `-0.0716229` Chr`15` : `60,910,550`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.003	0.997	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.003	0.997	0.000
rs6493858 lBF = `-0.0813485` Chr`15` : `56,736,478`	0.000	0.998	0.002
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.002	0.998	0.000
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.000	0.998	0.002
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.002	0.998	0.000
rs261334 lBF = `0.0183237` Chr`15` : `58,726,744`	0.000	0.998	0.002
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.002	0.998	0.000
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.002	0.998	0.000
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	0.002	0.998	0.000
rs7179575 lBF = `-0.0527773` Chr`15` : `27,323,199`	0.002	0.998	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	0.998	0.002
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	0.998	0.002
rs588136 lBF = `0.0543852` Chr`15` : `58,730,498`	0.000	0.998	0.002
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.002	0.998	0.000
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.002	0.998	0.000
rs8034802 lBF = `-0.103335` Chr`15` : `58,724,792`	0.002	0.998	0.000
rs4932217 lBF = `-0.105391` Chr`15` : `89,902,032`	0.002	0.998	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.002	0.998	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.002	0.998	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	0.998	0.002
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.002	0.998	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	0.998	0.002
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.001	0.998	0.001
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	0.998	0.002
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.001	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs2414739 lBF = `0.0198079` Chr`15` : `61,994,134`	0.000	0.999	0.001
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	0.999	0.001
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	0.999	0.001
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	0.999	0.001
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	0.999	0.001
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.001	0.999	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.001	0.999	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.001	0.999	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	0.999	0.001
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.001	0.999	0.000
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	0.999	0.001
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.001	0.999	0.000
rs951984 lBF = `16.3665` Chr`15` : `78,720,915`	0.001	0.999	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.001	0.999	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.001	0.999	0.000
rs824192 lBF = `-0.0800546` Chr`15` : `24,002,327`	0.000	0.999	0.001
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.001	0.999	0.000
rs7178909 lBF = `0.177574` Chr`15` : `90,447,946`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs12324805 lBF = `-0.0374731` Chr`15` : `82,352,200`	0.001	0.999	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	0.999	0.001
rs11857176 lBF = `0.705823` Chr`15` : `78,164,706`	0.000	0.999	0.001
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs12914626 lBF = `-0.107182` Chr`15` : `58,738,423`	0.000	0.999	0.001
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
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
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
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
rs950027 lBF = `-0.0999884` Chr`15` : `45,801,035`	0.001	0.999	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.001	0.999	0.000
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
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
rs79238367 lBF = `0` Chr`15` : `37,347,665`	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
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
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
rs60283548 lBF = `0` Chr`15` : `97,454,880`	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
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	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
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	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
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	0.999	0.001
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	0.999	0.001
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.001	0.999	0.000
rs10852151 lBF = `0.713437` Chr`15` : `92,083,295`	0.001	0.999	0.000
rs2453533 lBF = `-0.0781824` Chr`15` : `45,641,225`	0.001	0.999	0.000
rs744910 lBF = `0.45769` Chr`15` : `67,446,785`	0.001	0.999	0.000
rs1077835 lBF = `-0.0112113` Chr`15` : `58,723,426`	0.001	0.999	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.001	0.999	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.001	0.999	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	0.999	0.001
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rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.000	1.000	0.000
rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	0.000	1.000	0.000
rs7183604 lBF = `20.2205` Chr`15` : `78,899,213`	0.000	1.000	0.000
rs938682 lBF = `19.6295` Chr`15` : `78,896,547`	0.000	1.000	0.000
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	1.000	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.000	1.000	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs10519005 lBF = `0.0808155` Chr`15` : `59,711,691`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs11073328 lBF = `-0.0231755` Chr`15` : `38,764,843`	0.000	1.000	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	1.000	0.000
rs9806183 lBF = `-0.070436` Chr`15` : `71,574,799`	0.000	1.000	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.000	1.000	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.000	1.000	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.000	1.000	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	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
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.000	1.000	0.000
rs905739 lBF = `18.6441` Chr`15` : `78,845,110`	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
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.000	1.000	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	1.000	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	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
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs17439560 lBF = `-0.016614` Chr`15` : `37,449,619`	0.000	1.000	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	1.000	0.000
rs587847 lBF = `-0.0314841` Chr`15` : `37,660,049`	0.000	1.000	0.000
rs2123926 lBF = `-0.0542601` Chr`15` : `100,264,518`	0.000	1.000	0.000
rs338389 lBF = `-0.117711` Chr`15` : `68,260,008`	0.000	1.000	0.000
rs6495308 lBF = `18.9316` Chr`15` : `78,907,656`	0.000	1.000	0.000
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	1.000	0.000
rs667282 lBF = `17.1517` Chr`15` : `78,863,472`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.000	1.000	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.000	1.000	0.000
rs2278702 lBF = `0.561434` Chr`15` : `80,694,922`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.000	1.000	0.000
rs793571 lBF = `0.187336` Chr`15` : `59,141,706`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs4620914 lBF = `0.00350354` Chr`15` : `38,220,391`	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
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	1.000	0.000
rs11247124 lBF = `-0.0606221` Chr`15` : `100,265,725`	0.000	1.000	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	1.000	0.000
rs2137111 lBF = `-0.0912515` Chr`15` : `77,851,535`	0.000	1.000	0.000
rs1528472 lBF = `-0.0998215` Chr`15` : `55,321,128`	0.000	1.000	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.000	1.000	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.000	1.000	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.000	1.000	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.000	1.000	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.000	1.000	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.000	1.000	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.000	1.000	0.000
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.000	1.000	0.000
rs637137 lBF = `17.3142` Chr`15` : `78,873,976`	0.000	1.000	0.000
rs576982 lBF = `17.3069` Chr`15` : `78,870,803`	0.000	1.000	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	1.000	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs3867498 lBF = `0.0545376` Chr`15` : `25,078,787`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.000	1.000	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.000	1.000	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.000	1.000	0.000
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	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
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	1.000	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.000	1.000	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.000	1.000	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	1.000	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	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

0.7930

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5375

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9919

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9906

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9903

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9882

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9849

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9805

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9715

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9696

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9657

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9631

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9628

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9592

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9572

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9490

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9477

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9477

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9414

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9313

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9296

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9261

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9140

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9096

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9073

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9033

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9021

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8930

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8924

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8794

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8749

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8743

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8708

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8600

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8364

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8267

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8196

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8130

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8078

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8062

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8055

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7911

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7787

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7588

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7503

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7217

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7202

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7079

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6931

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6777

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6770

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6750

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6518

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6461

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6411

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6407

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6359

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6329

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6054

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5831

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5581

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5554

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5176

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4939

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4634

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4521

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4358

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4294

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4292

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4154

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4144

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3830

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3545

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3516

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3233

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3223

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3147

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3062

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3008

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2966

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2882

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2740

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2698

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2620

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2477

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2386

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2376

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2302

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2289

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2231

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2212

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2020

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1956

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1918

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1801

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1771

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1753

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1599

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1530

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1497

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1494

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1489

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1481

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1442

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1368

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1367

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1360

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1349

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1271

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1248

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1151

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0995

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0896

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0867

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0860

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0851

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0732

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0707

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0601

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`)