TreeWAS – [Z90.5] Acquired absence of kidney

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
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.799	0.201	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.732	0.268	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.700	0.300	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.670	0.330	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.618	0.382	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.543	0.457	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.543	0.457	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.489	0.511	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.483	0.517	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.393	0.607	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.355	0.645	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.350	0.649	0.001
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.351	0.649	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.344	0.656	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.335	0.665	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.322	0.678	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.320	0.680	0.001
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.312	0.688	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.300	0.700	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.289	0.711	0.001
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.282	0.717	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.269	0.730	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.248	0.751	0.001
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.243	0.757	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.217	0.782	0.001
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.153	0.847	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.149	0.851	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.145	0.855	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.143	0.857	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.138	0.860	0.002
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.134	0.866	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.107	0.893	0.001
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.097	0.901	0.002
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.096	0.904	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.908	0.092
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.082	0.918	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.059	0.941	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.050	0.950	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.046	0.954	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.036	0.964	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.033	0.967	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.025	0.975	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.022	0.978	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.021	0.979	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.019	0.980	0.001
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.016	0.983	0.002
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.017	0.983	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.015	0.984	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.012	0.988	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.012	0.988	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.011	0.989	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.010	0.989	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.010	0.990	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.010	0.990	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.009	0.991	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.009	0.991	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.009	0.991	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.008	0.992	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.008	0.992	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.008	0.992	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.008	0.992	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.007	0.992	0.000
rs997781 lBF = `-0.00491408` Chr`17` : `67,117,688`	0.007	0.993	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.006	0.993	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.006	0.994	0.000
rs12949531 lBF = `0.403478` Chr`17` : `13,733,806`	0.006	0.994	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.005	0.994	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.004	0.996	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.004	0.996	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.004	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	0.997	0.003
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.003	0.997	0.000
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.003	0.997	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.001	0.997	0.002
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.003	0.997	0.000
rs9299 lBF = `0.0624181` Chr`17` : `46,669,430`	0.000	0.997	0.003
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	0.997	0.003
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.002	0.998	0.000
rs8070473 lBF = `-0.0358532` Chr`17` : `33,843,512`	0.000	0.998	0.002
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.002	0.998	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.002	0.998	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs2271316 lBF = `-0.0721074` Chr`17` : `6,915,401`	0.000	0.998	0.002
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.002	0.998	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.002	0.998	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.998	0.000
rs1006703 lBF = `-0.00866852` Chr`17` : `3,865,399`	0.000	0.998	0.002
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.001
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.000	0.999	0.001
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.001	0.999	0.000
rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.000	0.999	0.001
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.001	0.999	0.000
rs79211555 lBF = `-0.0160831` Chr`17` : `77,305,203`	0.000	0.999	0.001
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.001	0.999	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.001	0.999	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.000	0.999	0.001
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	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
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
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	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
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
rs138387343 lBF = `0` Chr`17` : `57,060,633`	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
rs141829479 lBF = `0` Chr`17` : `56,305,064`	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
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
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.000	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
rs11654699 lBF = `-0.124536` Chr`17` : `30,903,310`	0.001	0.999	0.000
rs9972882 lBF = `7.99769` Chr`17` : `37,807,698`	0.000	0.999	0.001
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs1870584 lBF = `0.027536` Chr`17` : `12,047,544`	0.000	0.999	0.001
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	0.999	0.001
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.001	0.999	0.000
rs55955238 lBF = `-0.00136183` Chr`17` : `35,270,922`	0.000	0.999	0.001
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.001	0.999	0.000
rs4789580 lBF = `-0.0584139` Chr`17` : `76,311,991`	0.000	0.999	0.001
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.999	0.001
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	0.999	0.001
rs4789939 lBF = `0.0620522` Chr`17` : `76,881,703`	0.000	0.999	0.001
rs12185265 lBF = `0.0183091` Chr`17` : `35,274,282`	0.000	0.999	0.001
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.000	0.999	0.001
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.001	0.999	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.001	0.999	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.001	0.999	0.000
rs271674 lBF = `-0.0396692` Chr`17` : `47,978,986`	0.000	0.999	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.000	0.999	0.000
rs7210837 lBF = `-0.0787942` Chr`17` : `16,764,978`	0.000	0.999	0.001
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.001	0.999	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	0.999	0.001
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.001	0.999	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.001	0.999	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.000	0.999	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	0.999	0.001
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.000	0.999	0.000
rs8067287 lBF = `-0.0678228` Chr`17` : `16,816,656`	0.001	0.999	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.001	0.999	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.000	0.999	0.001
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.000	0.999	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.001	0.999	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.000	0.999	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.000	0.999	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.000	0.999	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.000	0.999	0.000
rs7224737 lBF = `-0.0661672` Chr`17` : `40,289,364`	0.000	0.999	0.001
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	1.000	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.000	1.000	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	1.000	0.000
rs12600394 lBF = `-0.0688881` Chr`17` : `14,517,467`	0.000	1.000	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.000	1.000	0.000
rs11867479 lBF = `-0.0010545` Chr`17` : `68,090,207`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs244293 lBF = `-0.0930749` Chr`17` : `53,230,722`	0.000	1.000	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.000	1.000	0.000
rs2079742 lBF = `0.0444277` Chr`17` : `59,465,697`	0.000	1.000	0.000
rs17183295 lBF = `0.349161` Chr`17` : `31,078,272`	0.000	1.000	0.000
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.000	1.000	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.000	1.000	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	1.000	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.000	1.000	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.000	1.000	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.000	1.000	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.000	1.000	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.000	1.000	0.000
rs2716882 lBF = `-0.0045234` Chr`17` : `5,582,334`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs8079658 lBF = `-0.0848228` Chr`17` : `63,791,483`	0.000	1.000	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.000	1.000	0.000
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	1.000	0.000
rs11657044 lBF = `0.832578` Chr`17` : `59,450,105`	0.000	1.000	0.000
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rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs923375 lBF = `-0.0351892` Chr`17` : `3,393,068`	0.000	1.000	0.000
rs7207499 lBF = `-0.0518373` Chr`17` : `64,447,165`	0.000	1.000	0.000
rs9889296 lBF = `-0.0525696` Chr`17` : `32,570,547`	0.000	1.000	0.000
rs56364076 lBF = `-0.0536795` Chr`17` : `40,565,035`	0.000	1.000	0.000
rs9895232 lBF = `-0.0671079` Chr`17` : `4,519,139`	0.000	1.000	0.000
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.000	1.000	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	1.000	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.000	1.000	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.000	1.000	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.000	1.000	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.000	1.000	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	1.000	0.000
Affx-13924541 lBF = `8.41294` Chr`17` : `43,757,161`	0.000	1.000	0.000
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.000	1.000	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.000	1.000	0.000
rs391300 lBF = `1.03278` Chr`17` : `2,216,258`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.000	1.000	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.000	1.000	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	1.000	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	1.000	0.000
rs227724 lBF = `-0.0418164` Chr`17` : `54,778,817`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.000	1.000	0.000
rs17645023 lBF = `-0.0505989` Chr`17` : `64,917,033`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs1513670 lBF = `-0.0762696` Chr`17` : `41,807,331`	0.000	1.000	0.000
rs3853824 lBF = `-0.0933912` Chr`17` : `54,880,993`	0.000	1.000	0.000
rs4792394 lBF = `-0.0952234` Chr`17` : `13,684,917`	0.000	1.000	0.000
rs12950390 lBF = `-0.102435` Chr`17` : `45,830,948`	0.000	1.000	0.000
rs379123 lBF = `-0.116895` Chr`17` : `30,891,814`	0.000	1.000	0.000
rs8064454 lBF = `28.4566` Chr`17` : `36,101,586`	0.000	1.000	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	1.000	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.000	1.000	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.000	1.000	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.000	1.000	0.000
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.000	1.000	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	1.000	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	1.000	0.000
Affx-13923840 lBF = `8.92182` Chr`17` : `43,707,619`	0.000	1.000	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.000	1.000	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	1.000	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.000	1.000	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.000	1.000	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.000	1.000	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	1.000	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.000	1.000	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.000	1.000	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.000	1.000	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.000	1.000	0.000
Affx-13926609 lBF = `8.66443` Chr`17` : `43,881,790`	0.000	1.000	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.000	1.000	0.000
Affx-13925359 lBF = `8.63146` Chr`17` : `43,804,619`	0.000	1.000	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.000	1.000	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.000	1.000	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.000	1.000	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.000	1.000	0.000
Affx-13928850 lBF = `7.97634` Chr`17` : `44,017,124`	0.000	1.000	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.000	1.000	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.000	1.000	0.000
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	0.000	1.000	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	1.000	0.000
rs916888 lBF = `2.00376` Chr`17` : `44,863,133`	0.000	1.000	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs46522 lBF = `0.667709` Chr`17` : `46,988,597`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.000	1.000	0.000
rs12938078 lBF = `0.273225` Chr`17` : `55,743,277`	0.000	1.000	0.000
rs6503659 lBF = `0.271348` Chr`17` : `39,897,264`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	1.000	0.000
rs6504340 lBF = `0.167877` Chr`17` : `46,617,019`	0.000	1.000	0.000
rs12601558 lBF = `0.0806125` Chr`17` : `80,179,147`	0.000	1.000	0.000
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.000	1.000	0.000
rs12453914 lBF = `0.0421126` Chr`17` : `67,138,878`	0.000	1.000	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	1.000	0.000
rs8076336 lBF = `0.00464987` Chr`17` : `18,212,614`	0.000	1.000	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.000	1.000	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	1.000	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	1.000	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	1.000	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.000	1.000	0.000
rs6501384 lBF = `-0.0418682` Chr`17` : `68,291,133`	0.000	1.000	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	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

0.9017

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3514

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9920

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9918

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9890

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9876

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9753

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9542

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9356

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9302

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9217

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9039

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8866

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8360

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8308

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.8128

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7584

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7427

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6913

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6826

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6432

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6273

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5904

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5566

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5425

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5402

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5320

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5303

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5212

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5085

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5078

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5075

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5074

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5008

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4928

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4607

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4159

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3887

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3720

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3627

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3611

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3585

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3266

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2761

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2470

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2314

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2230

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2198

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2102

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1854

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1738

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1724

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1673

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1482

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1435

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1325

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1158

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1127

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0912

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0736

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0665

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0630

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0598

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0559

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0533

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`)