TreeWAS – [K55.1] Chronic vascular disorders of intestine

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
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.635	0.365	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.616	0.384	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.594	0.406	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.574	0.426	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.571	0.429	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.563	0.437	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.548	0.452	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.533	0.467	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.489	0.510	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.401	0.599	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.396	0.603	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.396	0.604	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.388	0.612	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.381	0.618	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.325	0.675	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.260	0.740	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.247	0.753	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.199	0.800	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.192	0.808	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.190	0.810	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.178	0.822	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.173	0.827	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.163	0.837	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.162	0.838	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.155	0.845	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.120	0.880	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.119	0.881	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.115	0.885	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.108	0.892	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.108	0.892	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.100	0.900	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.085	0.915	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.084	0.915	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.078	0.922	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.070	0.930	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.058	0.941	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.056	0.944	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.045	0.955	0.000
rs3816995 lBF = `0.0613038` Chr`17` : `71,335,260`	0.000	0.961	0.039
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.034	0.966	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.032	0.967	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.030	0.970	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.029	0.971	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.028	0.972	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.024	0.976	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.024	0.976	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.024	0.976	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.024	0.976	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.021	0.979	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.021	0.979	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.020	0.979	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.020	0.980	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.020	0.980	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.019	0.980	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.019	0.981	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.018	0.982	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.018	0.982	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.018	0.982	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.017	0.983	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.016	0.983	0.000
rs2074404 lBF = `1.63065` Chr`17` : `44,865,439`	0.016	0.984	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.013	0.987	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.012	0.987	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.012	0.988	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.012	0.988	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.989	0.011
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.011	0.989	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.010	0.989	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.010	0.990	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.008	0.991	0.000
rs916888 lBF = `2.00376` Chr`17` : `44,863,133`	0.008	0.992	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.007	0.993	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.006	0.994	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.005	0.995	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.005	0.995	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.005	0.995	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.005	0.995	0.000
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.005	0.995	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.005	0.995	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.004	0.995	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.004	0.996	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.004	0.996	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.004	0.996	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.004	0.996	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.004	0.996	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.004	0.996	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.003	0.996	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.002	0.996	0.002
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.003	0.996	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.003	0.996	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.003	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.003	0.997	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.003	0.997	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.003	0.997	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.003	0.997	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.003	0.997	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.003	0.997	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.003	0.997	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.003	0.997	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.003	0.997	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.003	0.997	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.003	0.997	0.000
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.003	0.997	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.003	0.997	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.003	0.997	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.003	0.997	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.003	0.997	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.002	0.997	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.002	0.997	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.002	0.997	0.000
rs10445337 lBF = `7.56478` Chr`17` : `44,067,400`	0.002	0.998	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.002	0.998	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.002	0.998	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.002	0.998	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.002	0.998	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.002	0.998	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.002	0.998	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.002	0.998	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.002	0.998	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.002	0.998	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.002	0.998	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.002	0.998	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.002	0.998	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.002	0.998	0.000
Affx-13924541 lBF = `8.41294` Chr`17` : `43,757,161`	0.002	0.998	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.002	0.998	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.002	0.998	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.002	0.998	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.002	0.998	0.000
Affx-13928850 lBF = `7.97634` Chr`17` : `44,017,124`	0.002	0.998	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.002	0.998	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.002	0.998	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.002	0.998	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.002	0.998	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.002	0.998	0.000
Affx-13923840 lBF = `8.92182` Chr`17` : `43,707,619`	0.002	0.998	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.002	0.998	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.002	0.998	0.000
Affx-13927245 lBF = `8.50198` Chr`17` : `43,924,073`	0.002	0.998	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.002	0.998	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.002	0.998	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.002	0.998	0.000
rs7207400 lBF = `5.06352` Chr`17` : `43,824,360`	0.002	0.998	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.002	0.998	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.002	0.998	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.002	0.998	0.000
Affx-13927266 lBF = `6.05516` Chr`17` : `43,925,297`	0.002	0.998	0.000
Affx-13926609 lBF = `8.66443` Chr`17` : `43,881,790`	0.002	0.998	0.000
rs8067287 lBF = `-0.0678228` Chr`17` : `16,816,656`	0.002	0.998	0.000
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.002	0.998	0.000
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs3744763 lBF = `8.02105` Chr`17` : `36,090,885`	0.002	0.998	0.000
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.002	0.998	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	0.998	0.002
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.002	0.998	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.002	0.998	0.000
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.002	0.998	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.002	0.998	0.000
Affx-13925660 lBF = `9.09124` Chr`17` : `43,823,229`	0.002	0.998	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.002	0.998	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.002	0.998	0.000
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.002	0.998	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.002	0.998	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.002	0.998	0.000
rs7219669 lBF = `-0.104703` Chr`17` : `68,521,861`	0.002	0.998	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.002	0.998	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.002	0.998	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.001	0.998	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.001	0.998	0.000
rs17690703 lBF = `6.48207` Chr`17` : `43,925,297`	0.001	0.998	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	0.998	0.001
rs3204270 lBF = `-0.0223086` Chr`17` : `79,682,051`	0.001	0.998	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.001	0.998	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.001	0.998	0.000
rs2732703 lBF = `4.25554` Chr`17` : `44,353,222`	0.001	0.998	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.001	0.999	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	0.999	0.001
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.001	0.999	0.000
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.001	0.999	0.000
rs415430 lBF = `3.99129` Chr`17` : `44,859,144`	0.000	0.999	0.001
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.001	0.999	0.000
Affx-13925359 lBF = `8.63146` Chr`17` : `43,804,619`	0.001	0.999	0.000
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.001	0.999	0.000
rs7405776 lBF = `13.8246` Chr`17` : `36,093,022`	0.001	0.999	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.001	0.999	0.000
rs744166 lBF = `1.15684` Chr`17` : `40,514,201`	0.001	0.999	0.000
rs11871847 lBF = `-0.078445` Chr`17` : `69,281,766`	0.000	0.999	0.001
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.001	0.999	0.000
rs199515 lBF = `3.83286` Chr`17` : `44,856,641`	0.000	0.999	0.001
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.001	0.999	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.001	0.999	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.001	0.999	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.001	0.999	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	0.999	0.001
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.001	0.999	0.000
rs1034927 lBF = `5.00381` Chr`17` : `44,334,419`	0.001	0.999	0.000
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rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.000	1.000	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	1.000	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	1.000	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	1.000	0.000
rs12936361 lBF = `0.00462479` Chr`17` : `68,108,417`	0.000	1.000	0.000
rs172642 lBF = `-0.00000294` Chr`17` : `6,595,398`	0.000	1.000	0.000
rs11653011 lBF = `-0.00273923` Chr`17` : `53,519,844`	0.000	1.000	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.000	1.000	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	1.000	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.000	1.000	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.000	1.000	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.000	1.000	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.000	1.000	0.000
rs6503525 lBF = `6.47206` Chr`17` : `38,095,174`	0.000	1.000	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.000	1.000	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.000	1.000	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.000	1.000	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.000	1.000	0.000
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.000	1.000	0.000
rs79211555 lBF = `-0.0160831` Chr`17` : `77,305,203`	0.000	1.000	0.000
rs2567519 lBF = `-0.0475196` Chr`17` : `70,788,406`	0.000	1.000	0.000
rs12950390 lBF = `-0.102435` Chr`17` : `45,830,948`	0.000	1.000	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.000	1.000	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
rs4065986 lBF = `6.82996` Chr`17` : `38,102,641`	0.000	1.000	0.000
rs11649743 lBF = `1.66786` Chr`17` : `36,074,979`	0.000	1.000	0.000
rs11653144 lBF = `0.4146` Chr`17` : `27,675,226`	0.000	1.000	0.000
rs6761 lBF = `0.117299` Chr`17` : `7,417,663`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	1.000	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	1.000	0.000
rs3744061 lBF = `0.0157117` Chr`17` : `74,733,403`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.000	1.000	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.000	1.000	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	1.000	0.000
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs11651000 lBF = `-0.0471145` Chr`17` : `45,835,278`	0.000	1.000	0.000
rs1696756 lBF = `-0.0491303` Chr`17` : `77,827,973`	0.000	1.000	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	1.000	0.000
rs9635759 lBF = `-0.0807129` Chr`17` : `49,613,785`	0.000	1.000	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.000	1.000	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.000	1.000	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.000	1.000	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.000	1.000	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.000	1.000	0.000
rs8071558 lBF = `4.46114` Chr`17` : `69,107,673`	0.000	1.000	0.000
rs17765344 lBF = `4.44954` Chr`17` : `69,106,874`	0.000	1.000	0.000
rs1859962 lBF = `4.17106` Chr`17` : `69,108,753`	0.000	1.000	0.000
rs180515 lBF = `0.809847` Chr`17` : `58,024,275`	0.000	1.000	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	1.000	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.000	1.000	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.000	1.000	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs4789939 lBF = `0.0620522` Chr`17` : `76,881,703`	0.000	1.000	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	1.000	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.000	1.000	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	1.000	0.000
rs2075230 lBF = `-0.00511233` Chr`17` : `7,487,108`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs820217 lBF = `-0.036926` Chr`17` : `73,688,294`	0.000	1.000	0.000
rs4129767 lBF = `-0.0382041` Chr`17` : `76,403,984`	0.000	1.000	0.000
rs6504663 lBF = `-0.043126` Chr`17` : `48,591,209`	0.000	1.000	0.000
rs216452 lBF = `-0.0523426` Chr`17` : `28,883,741`	0.000	1.000	0.000
rs4329 lBF = `-0.0707658` Chr`17` : `61,563,458`	0.000	1.000	0.000
rs4343 lBF = `-0.0859132` Chr`17` : `61,566,031`	0.000	1.000	0.000
rs6501431 lBF = `-0.0996646` Chr`17` : `68,976,415`	0.000	1.000	0.000
rs2074518 lBF = `-0.106489` Chr`17` : `33,324,382`	0.000	1.000	0.000
rs11263763 lBF = `28.9425` Chr`17` : `36,103,565`	0.000	1.000	0.000
rs11651052 lBF = `28.1116` Chr`17` : `36,102,381`	0.000	1.000	0.000
rs12601991 lBF = `14.0917` Chr`17` : `36,101,633`	0.000	1.000	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	1.000	0.000
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs4795067 lBF = `0.315804` Chr`17` : `26,106,675`	0.000	1.000	0.000
rs12938078 lBF = `0.273225` Chr`17` : `55,743,277`	0.000	1.000	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.000	1.000	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8459

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8368

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7730

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7730

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7164

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7154

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7133

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7131

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7122

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7120

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7111

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7079

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7067

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7014

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7006

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6944

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6944

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6911

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6878

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6856

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6804

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6775

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6749

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6692

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6678

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6651

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6574

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6563

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6506

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6419

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6399

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6331

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6298

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6180

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6033

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6016

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5987

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5902

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5797

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5585

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5571

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5488

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5320

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5243

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5235

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5091

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4914

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4864

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4813

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4793

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4770

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4572

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4426

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4421

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4235

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4119

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4087

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3960

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3898

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3344

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3213

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3160

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3034

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3007

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2204

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2146

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2105

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1955

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1886

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1636

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1620

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1483

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1461

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1333

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1086

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1020

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0785

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0772

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0735

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0586

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`)