TreeWAS – [K25.0] Acute with haemorrhage

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
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.676	0.323	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.604	0.396	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.601	0.399	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.598	0.402	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.566	0.433	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.487	0.513	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.469	0.531	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.468	0.531	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.457	0.543	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.403	0.597	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.386	0.614	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.374	0.626	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.371	0.629	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.336	0.664	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.284	0.716	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.261	0.739	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.207	0.793	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.207	0.793	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.180	0.819	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.172	0.827	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.142	0.858	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.114	0.886	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.105	0.894	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.105	0.895	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.093	0.906	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.082	0.918	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.079	0.921	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.050	0.950	0.000
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.045	0.955	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.045	0.955	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.040	0.960	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.032	0.968	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.027	0.973	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.000	0.976	0.024
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.024	0.976	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.022	0.978	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	0.979	0.021
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.020	0.979	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.020	0.980	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.018	0.982	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.017	0.983	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.016	0.983	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.016	0.984	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.015	0.984	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.015	0.985	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.015	0.985	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.012	0.988	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.011	0.989	0.001
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.010	0.989	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.010	0.990	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.009	0.991	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.009	0.991	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.009	0.991	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.992	0.008
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.008	0.992	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.000	0.993	0.007
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.007	0.993	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.007	0.993	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.007	0.993	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.006	0.994	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	0.994	0.006
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.006	0.994	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.005	0.995	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.005	0.995	0.000
rs1034927 lBF = `5.00381` Chr`17` : `44,334,419`	0.000	0.995	0.005
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.000	0.995	0.005
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.005	0.995	0.000
Affx-13923840 lBF = `8.92182` Chr`17` : `43,707,619`	0.000	0.995	0.005
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.004	0.995	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.000	0.995	0.005
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	0.996	0.004
rs10438797 lBF = `0.259573` Chr`17` : `27,491,862`	0.004	0.996	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.004	0.996	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.004	0.996	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	0.996	0.004
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.000	0.996	0.004
rs3027247 lBF = `-0.0497048` Chr`17` : `8,130,867`	0.000	0.996	0.004
rs172642 lBF = `-0.00000294` Chr`17` : `6,595,398`	0.000	0.996	0.004
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.004	0.996	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	0.996	0.004
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.000	0.996	0.004
rs8082590 lBF = `0.0572329` Chr`17` : `17,958,402`	0.004	0.996	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.000	0.996	0.004
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.996	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.003	0.996	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	0.997	0.003
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	0.997	0.003
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.003	0.997	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.000	0.997	0.003
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.000	0.997	0.003
Affx-13924541 lBF = `8.41294` Chr`17` : `43,757,161`	0.000	0.997	0.003
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.003	0.997	0.000
rs2732703 lBF = `4.25554` Chr`17` : `44,353,222`	0.000	0.997	0.003
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.000	0.997	0.003
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.003	0.997	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.000	0.997	0.003
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.003	0.997	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.000	0.997	0.003
Affx-13925359 lBF = `8.63146` Chr`17` : `43,804,619`	0.000	0.997	0.003
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	0.997	0.003
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.000	0.997	0.003
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.003	0.997	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.000	0.997	0.003
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.000	0.997	0.003
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.003	0.997	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.002	0.997	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.000	0.997	0.003
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	0.997	0.003
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.000	0.997	0.003
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.000	0.997	0.003
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.000	0.997	0.003
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.000	0.997	0.003
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.000	0.997	0.003
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.000	0.997	0.002
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.000	0.997	0.002
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	0.998	0.002
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.002	0.998	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.000	0.998	0.002
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	0.998	0.002
Affx-13925660 lBF = `9.09124` Chr`17` : `43,823,229`	0.000	0.998	0.002
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.000	0.998	0.002
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.000	0.998	0.002
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.002	0.998	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.000	0.998	0.002
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	0.998	0.002
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	0.998	0.002
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.000	0.998	0.002
Affx-13927245 lBF = `8.50198` Chr`17` : `43,924,073`	0.000	0.998	0.002
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.000	0.998	0.002
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.000	0.998	0.002
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.000	0.998	0.002
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.000	0.998	0.002
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	0.998	0.002
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	0.998	0.002
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.000	0.998	0.002
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.002	0.998	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.002	0.998	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.002	0.998	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	0.998	0.002
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	0.998	0.002
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	0.998	0.002
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.000	0.998	0.002
rs10445337 lBF = `7.56478` Chr`17` : `44,067,400`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
Affx-13928850 lBF = `7.97634` Chr`17` : `44,017,124`	0.000	0.998	0.002
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.000	0.998	0.002
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.002	0.998	0.000
Affx-13928304 lBF = `9.20705` Chr`17` : `43,987,723`	0.000	0.998	0.002
Affx-13926609 lBF = `8.66443` Chr`17` : `43,881,790`	0.000	0.998	0.002
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.000	0.998	0.002
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.001	0.998	0.001
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	0.998	0.002
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.000	0.998	0.002
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.000	0.998	0.002
rs62064224 lBF = `-0.115641` Chr`17` : `30,635,115`	0.000	0.998	0.002
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.001	0.998	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	0.998	0.002
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.000	0.998	0.002
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.001	0.998	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.001	0.998	0.000
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.000	0.998	0.001
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.000	0.998	0.001
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.000	0.998	0.001
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.001	0.999	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.000	0.999	0.001
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.001	0.999	0.000
rs12936587 lBF = `-0.0793414` Chr`17` : `17,543,722`	0.001	0.999	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.000	0.999	0.001
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.001	0.999	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.000	0.999	0.001
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.001	0.999	0.000
rs7477 lBF = `-0.0892816` Chr`17` : `16,246,016`	0.001	0.999	0.000
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.000	0.999	0.001
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.000	0.999	0.001
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.000	0.999	0.001
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.001	0.999	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	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
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
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
rs188757965 lBF = `0` Chr`17` : `41,119,569`	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
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rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	1.000	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs9902453 lBF = `0.0184464` Chr`17` : `28,349,095`	0.000	1.000	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	1.000	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.000	1.000	0.000
rs584438 lBF = `0.00812806` Chr`17` : `38,599,172`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	1.000	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs3785574 lBF = `-0.0197042` Chr`17` : `61,763,185`	0.000	1.000	0.000
rs12449964 lBF = `-0.0610517` Chr`17` : `17,544,704`	0.000	1.000	0.000
rs6565681 lBF = `-0.0627288` Chr`17` : `78,348,494`	0.000	1.000	0.000
rs4646404 lBF = `-0.0761786` Chr`17` : `17,420,199`	0.000	1.000	0.000
rs11077614 lBF = `-0.112597` Chr`17` : `70,594,629`	0.000	1.000	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.000	1.000	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.000	1.000	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.000	1.000	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.000	1.000	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.000	1.000	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.000	1.000	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	1.000	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	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
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.000	1.000	0.000
rs820218 lBF = `-0.0511756` Chr`17` : `73,687,495`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.000	1.000	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.000	1.000	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.000	1.000	0.000
rs4795397 lBF = `12.2262` Chr`17` : `38,023,745`	0.000	1.000	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.000	1.000	0.000
rs10445308 lBF = `11.9627` Chr`17` : `37,938,047`	0.000	1.000	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.000	1.000	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.000	1.000	0.000
rs7222591 lBF = `5.54307` Chr`17` : `47,507,019`	0.000	1.000	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.000	1.000	0.000
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.000	1.000	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	1.000	0.000
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.000	1.000	0.000
rs11653144 lBF = `0.4146` Chr`17` : `27,675,226`	0.000	1.000	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.000	1.000	0.000
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.000	1.000	0.000
rs4889911 lBF = `0.139676` Chr`17` : `77,839,811`	0.000	1.000	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	1.000	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs7214628 lBF = `-0.00332003` Chr`17` : `73,882,148`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	1.000	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	1.000	0.000
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.000	1.000	0.000
rs7209395 lBF = `-0.0306572` Chr`17` : `64,133,726`	0.000	1.000	0.000
rs1549519 lBF = `-0.0354373` Chr`17` : `53,757,787`	0.000	1.000	0.000
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.000	1.000	0.000
rs623323 lBF = `-0.0439502` Chr`17` : `700,020`	0.000	1.000	0.000
rs7224668 lBF = `-0.0447813` Chr`17` : `79,235,788`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs9908552 lBF = `-0.0485673` Chr`17` : `1,297,991`	0.000	1.000	0.000
rs2302190 lBF = `-0.0522082` Chr`17` : `56,584,508`	0.000	1.000	0.000
rs2271316 lBF = `-0.0721074` Chr`17` : `6,915,401`	0.000	1.000	0.000
rs2429369 lBF = `-0.0778709` Chr`17` : `56,501,420`	0.000	1.000	0.000
rs6501431 lBF = `-0.0996646` Chr`17` : `68,976,415`	0.000	1.000	0.000
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.000	1.000	0.000
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.000	1.000	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.000	1.000	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.000	1.000	0.000
Affx-13851073 lBF = `12.5709` Chr`17` : `38,080,865`	0.000	1.000	0.000
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.000	1.000	0.000
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	0.000	1.000	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.000	1.000	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.000	1.000	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.000	1.000	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.000	1.000	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.000	1.000	0.000
rs3764419 lBF = `0.993552` Chr`17` : `29,164,023`	0.000	1.000	0.000
rs9905704 lBF = `0.685603` Chr`17` : `56,632,543`	0.000	1.000	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.4229

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.3554

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9286

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8379

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8328

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8232

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8128

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8085

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8038

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7582

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7215

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7168

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7153

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7135

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7124

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7109

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7101

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7086

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7039

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7011

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6995

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6938

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6634

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.6594

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6581

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6401

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6344

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6333

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6273

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6063

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6024

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5946

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5811

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5807

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5723

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5715

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5514

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5365

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5281

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4803

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4504

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4394

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4284

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3842

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3801

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3591

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3344

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3098

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2978

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2781

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2741

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2691

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2685

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2667

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2362

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2307

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2150

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2029

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1347

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1319

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0963

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0829

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0820

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0687

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0616

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0606

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0542

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`)