TreeWAS – [Z94.0] Kidney 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
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.706	0.294	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.660	0.340	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.624	0.376	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.610	0.390	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.605	0.395	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.605	0.395	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.595	0.405	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.580	0.420	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.579	0.421	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.525	0.475	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.505	0.495	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.496	0.504	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.483	0.517	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.480	0.520	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.478	0.522	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.477	0.523	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.466	0.533	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.466	0.533	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.457	0.542	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.444	0.556	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.432	0.568	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.417	0.582	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.416	0.584	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.413	0.587	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.406	0.594	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.396	0.604	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.371	0.629	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.359	0.640	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.357	0.643	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.356	0.644	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.349	0.650	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.315	0.685	0.001
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.293	0.707	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.249	0.751	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.246	0.754	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.175	0.824	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.165	0.835	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.157	0.843	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.109	0.890	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.076	0.923	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.068	0.932	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.933	0.067
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.057	0.942	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.055	0.945	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.033	0.967	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.029	0.970	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.029	0.971	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.029	0.971	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.028	0.972	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.026	0.974	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.023	0.977	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.023	0.977	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.020	0.979	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.019	0.981	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.016	0.984	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.015	0.985	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.015	0.985	0.000
rs2006933 lBF = `-0.0142823` Chr`17` : `26,601,133`	0.014	0.986	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.012	0.988	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.012	0.988	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.012	0.988	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.012	0.988	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.011	0.989	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.009	0.990	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.009	0.991	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.008	0.991	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.007	0.993	0.000
rs8067545 lBF = `-0.0580308` Chr`17` : `19,912,710`	0.000	0.994	0.006
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.006	0.994	0.001
rs7216064 lBF = `0.00201617` Chr`17` : `65,898,809`	0.000	0.994	0.006
rs11870068 lBF = `0.00034915` Chr`17` : `65,944,515`	0.000	0.994	0.006
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.005	0.995	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.005	0.995	0.000
rs11080055 lBF = `-0.0957219` Chr`17` : `26,649,724`	0.000	0.996	0.004
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.004	0.996	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.003	0.996	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.003	0.996	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.003	0.997	0.000
rs704 lBF = `-0.082454` Chr`17` : `26,694,861`	0.000	0.997	0.003
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.003	0.997	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.001	0.997	0.002
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	0.997	0.003
rs8076336 lBF = `0.00464987` Chr`17` : `18,212,614`	0.003	0.997	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.003	0.997	0.000
rs7220711 lBF = `0.388513` Chr`17` : `41,789,965`	0.000	0.997	0.003
rs3785859 lBF = `-0.087359` Chr`17` : `59,379,738`	0.001	0.997	0.002
rs6565653 lBF = `-0.0892474` Chr`17` : `78,201,783`	0.000	0.997	0.003
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.003	0.997	0.000
rs6504909 lBF = `-0.00947766` Chr`17` : `52,548,125`	0.002	0.997	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.002	0.998	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.002	0.998	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	0.998	0.002
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	0.998	0.002
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.002	0.998	0.000
rs882367 lBF = `0.00534338` Chr`17` : `59,494,574`	0.000	0.998	0.002
rs4792909 lBF = `0.822937` Chr`17` : `41,798,824`	0.000	0.998	0.002
rs9908102 lBF = `0.0664821` Chr`17` : `12,896,553`	0.000	0.998	0.002
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.001	0.998	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.002	0.998	0.000
rs11651000 lBF = `-0.0471145` Chr`17` : `45,835,278`	0.000	0.998	0.002
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.002	0.998	0.000
rs7224610 lBF = `-0.0163906` Chr`17` : `53,364,788`	0.002	0.998	0.000
rs7215990 lBF = `-0.0278399` Chr`17` : `6,034,831`	0.000	0.998	0.002
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.002	0.998	0.000
rs11870935 lBF = `-0.0465656` Chr`17` : `45,732,605`	0.000	0.998	0.002
rs12453935 lBF = `-0.0882798` Chr`17` : `59,897,455`	0.002	0.998	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	0.998	0.002
rs944722 lBF = `-0.0285062` Chr`17` : `26,092,037`	0.000	0.998	0.002
rs8072100 lBF = `-0.0332638` Chr`17` : `45,674,687`	0.000	0.998	0.002
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.000	0.998	0.002
rs3744763 lBF = `8.02105` Chr`17` : `36,090,885`	0.002	0.998	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.002	0.998	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.998	0.000
rs4792394 lBF = `-0.0952234` Chr`17` : `13,684,917`	0.000	0.998	0.002
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.001	0.998	0.000
rs11079160 lBF = `-0.0751658` Chr`17` : `53,404,725`	0.001	0.998	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.001	0.999	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.000	0.999	0.001
rs6565681 lBF = `-0.0627288` Chr`17` : `78,348,494`	0.001	0.999	0.000
rs9902453 lBF = `0.0184464` Chr`17` : `28,349,095`	0.000	0.999	0.001
rs3809863 lBF = `-0.110405` Chr`17` : `45,385,012`	0.001	0.999	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.001	0.999	0.000
rs8070463 lBF = `0.0889562` Chr`17` : `45,768,836`	0.001	0.999	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.001	0.999	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.001
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.001	0.999	0.000
rs708382 lBF = `0.0582183` Chr`17` : `42,442,344`	0.001	0.999	0.000
rs8066857 lBF = `-0.0364293` Chr`17` : `70,696,103`	0.000	0.999	0.001
rs8081523 lBF = `0.0423272` Chr`17` : `76,304,510`	0.000	0.999	0.001
rs2320952 lBF = `0.0109096` Chr`17` : `10,466,474`	0.001	0.999	0.000
rs1513670 lBF = `-0.0762696` Chr`17` : `41,807,331`	0.000	0.999	0.001
rs8068318 lBF = `0.144792` Chr`17` : `59,483,766`	0.000	0.999	0.001
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs3110496 lBF = `1.23808` Chr`17` : `27,917,771`	0.001	0.999	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.001	0.999	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.999	0.001
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.001	0.999	0.000
rs2240736 lBF = `0.147927` Chr`17` : `59,485,393`	0.000	0.999	0.001
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.001	0.999	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.001	0.999	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.000	0.999	0.001
rs2935183 lBF = `-0.018225` Chr`17` : `45,607,572`	0.000	0.999	0.001
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	0.999	0.001
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs757608 lBF = `0.246952` Chr`17` : `59,497,277`	0.000	0.999	0.001
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs12950390 lBF = `-0.102435` Chr`17` : `45,830,948`	0.000	0.999	0.001
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs116885154 lBF = `-0.00001053` Chr`17` : `71,784,375`	0.001	0.999	0.000
rs12453524 lBF = `-0.00003894` Chr`17` : `66,575,117`	0.000	0.999	0.001
rs1107748 lBF = `-0.0292036` Chr`17` : `41,773,814`	0.000	0.999	0.001
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.001	0.999	0.000
rs7206971 lBF = `-0.0210073` Chr`17` : `45,425,115`	0.001	0.999	0.000
rs67050149 lBF = `6.33733` Chr`17` : `79,557,043`	0.001	0.999	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.001	0.999	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.001	0.999	0.000
rs2070776 lBF = `-0.0513655` Chr`17` : `62,007,498`	0.000	0.999	0.001
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.001	0.999	0.000
rs1990193 lBF = `0.0651057` Chr`17` : `68,828,089`	0.001	0.999	0.000
rs4986172 lBF = `-0.0437651` Chr`17` : `43,216,281`	0.001	0.999	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.001	0.999	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	0.999	0.001
rs7211079 lBF = `-0.0664865` Chr`17` : `78,107,537`	0.000	0.999	0.001
rs4617927 lBF = `0.0387266` Chr`17` : `53,356,126`	0.000	0.999	0.001
rs923375 lBF = `-0.0351892` Chr`17` : `3,393,068`	0.000	0.999	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs2079795 lBF = `0.106328` Chr`17` : `59,496,649`	0.000	0.999	0.001
rs718073 lBF = `-0.0274968` Chr`17` : `70,584,265`	0.000	0.999	0.001
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.001	0.999	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.001	0.999	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.001	0.999	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.999	0.000
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rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	1.000	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	1.000	0.000
rs4144743 lBF = `-0.00182064` Chr`17` : `45,323,125`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	1.000	0.000
rs7224668 lBF = `-0.0447813` Chr`17` : `79,235,788`	0.000	1.000	0.000
rs4796604 lBF = `-0.0670436` Chr`17` : `39,890,876`	0.000	1.000	0.000
rs3091316 lBF = `-0.0699381` Chr`17` : `32,593,974`	0.000	1.000	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.000	1.000	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.000	1.000	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.000	1.000	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.000	1.000	0.000
Affx-13922976 lBF = `5.36343` Chr`17` : `43,659,975`	0.000	1.000	0.000
rs9905704 lBF = `0.685603` Chr`17` : `56,632,543`	0.000	1.000	0.000
rs9302874 lBF = `0.187817` Chr`17` : `76,280,560`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs17760268 lBF = `0.00781668` Chr`17` : `54,611,291`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.000	1.000	0.000
rs2019216 lBF = `-0.0996054` Chr`17` : `21,909,650`	0.000	1.000	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.000	1.000	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.000	1.000	0.000
rs9914266 lBF = `3.07775` Chr`17` : `2,133,250`	0.000	1.000	0.000
rs17610181 lBF = `2.0868` Chr`17` : `59,667,953`	0.000	1.000	0.000
rs6504218 lBF = `0.518288` Chr`17` : `62,408,299`	0.000	1.000	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.000	1.000	0.000
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.000	1.000	0.000
rs559972 lBF = `0.05985` Chr`17` : `27,814,496`	0.000	1.000	0.000
rs9900280 lBF = `0.0517773` Chr`17` : `27,769,598`	0.000	1.000	0.000
rs8076739 lBF = `0.0105619` Chr`17` : `27,714,587`	0.000	1.000	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.000	1.000	0.000
rs17662217 lBF = `-0.0338281` Chr`17` : `32,862,190`	0.000	1.000	0.000
rs728478 lBF = `-0.120974` Chr`17` : `57,466,504`	0.000	1.000	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.000	1.000	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.000	1.000	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	1.000	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	1.000	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.000	1.000	0.000
rs10445337 lBF = `7.56478` Chr`17` : `44,067,400`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.000	1.000	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	1.000	0.000
rs2138852 lBF = `0.0595363` Chr`17` : `27,703,349`	0.000	1.000	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	1.000	0.000
rs7224314 lBF = `0.00627329` Chr`17` : `65,386,214`	0.000	1.000	0.000
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.000	1.000	0.000
rs7210837 lBF = `-0.0787942` Chr`17` : `16,764,978`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	1.000	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.000	1.000	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.000	1.000	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.000	1.000	0.000
rs6565597 lBF = `4.34152` Chr`17` : `79,526,821`	0.000	1.000	0.000
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs72823592 lBF = `0.0220647` Chr`17` : `46,123,004`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs1396515 lBF = `-0.00082143` Chr`17` : `68,430,993`	0.000	1.000	0.000
rs1006703 lBF = `-0.00866852` Chr`17` : `3,865,399`	0.000	1.000	0.000
rs623011 lBF = `-0.0326514` Chr`17` : `68,259,446`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs4791774 lBF = `-0.0958877` Chr`17` : `8,932,119`	0.000	1.000	0.000
rs11654699 lBF = `-0.124536` Chr`17` : `30,903,310`	0.000	1.000	0.000
Affx-13928304 lBF = `9.20705` Chr`17` : `43,987,723`	0.000	1.000	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.000	1.000	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	1.000	0.000
Affx-13925660 lBF = `9.09124` Chr`17` : `43,823,229`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	1.000	0.000
Affx-13924541 lBF = `8.41294` Chr`17` : `43,757,161`	0.000	1.000	0.000
rs216196 lBF = `8.07442` Chr`17` : `2,202,943`	0.000	1.000	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.000	1.000	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.000	1.000	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.000	1.000	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.000	1.000	0.000
rs12150284 lBF = `7.56098` Chr`17` : `10,031,090`	0.000	1.000	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	1.000	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.000	1.000	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.000	1.000	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.000	1.000	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	1.000	0.000
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs4925166 lBF = `0.164964` Chr`17` : `18,210,810`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	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

0.7669

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5769

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9998

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9991

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9990

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9956

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9946

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9937

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9934

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9910

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9893

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9872

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9840

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9770

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9754

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9630

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9539

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9519

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9476

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9474

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9399

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9394

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9371

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9324

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9309

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9306

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9275

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9201

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9156

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9070

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9040

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9014

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9012

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8910

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8904

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8871

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8811

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8790

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8771

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8734

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8710

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8572

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8557

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8436

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8382

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8343

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8273

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8006

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7913

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7904

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7902

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7885

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7761

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7698

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7613

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7533

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7527

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7503

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7483

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7379

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7341

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6751

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6555

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6476

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6373

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6337

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6110

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5933

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5813

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5794

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5675

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5584

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5582

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5490

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5445

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5318

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5219

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5025

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4841

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4723

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4717

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4468

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4399

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4303

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4265

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4202

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4045

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4037

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4018

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3990

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3818

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3779

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3647

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3567

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3559

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3297

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3287

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3196

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3031

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2840

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2815

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2727

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2722

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2647

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2616

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2603

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2600

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2540

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2509

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2381

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2287

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2175

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2042

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2015

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2007

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1443

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1411

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1409

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1399

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1346

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1228

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1205

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1178

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1159

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1089

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1072

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0963

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0852

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0519

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`)