TreeWAS – [E87.3] Alkalosis

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
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.783	0.217	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.760	0.240	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.759	0.241	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.707	0.293	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.696	0.303	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.673	0.327	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.671	0.329	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.640	0.360	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.637	0.362	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.622	0.378	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.612	0.388	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.606	0.394	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.590	0.410	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.565	0.435	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.557	0.442	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.556	0.444	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.548	0.452	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.537	0.463	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.527	0.473	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.488	0.512	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.484	0.516	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.473	0.527	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.468	0.532	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.466	0.534	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.452	0.548	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.449	0.551	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.405	0.595	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.402	0.598	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.381	0.619	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.381	0.619	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.376	0.623	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.358	0.641	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.355	0.645	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.352	0.648	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.350	0.649	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.345	0.655	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.341	0.659	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.340	0.660	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.340	0.660	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.319	0.681	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.307	0.693	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.293	0.707	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.275	0.725	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.272	0.728	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.250	0.750	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.240	0.759	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.231	0.768	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.230	0.770	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.229	0.771	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.227	0.772	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.226	0.774	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.215	0.785	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.210	0.790	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.201	0.799	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.193	0.807	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.191	0.809	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.181	0.819	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.175	0.825	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.173	0.827	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.150	0.849	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.146	0.853	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.133	0.867	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.119	0.881	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.119	0.881	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.114	0.886	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.113	0.887	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.113	0.887	0.000
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.104	0.896	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.093	0.907	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.086	0.914	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.917	0.083
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.073	0.927	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.068	0.932	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.067	0.933	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.066	0.933	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.066	0.934	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.066	0.934	0.000
rs6030171 lBF = `0.0876612` Chr`20` : `40,994,094`	0.000	0.938	0.062
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.055	0.944	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.055	0.944	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.054	0.945	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.053	0.947	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.049	0.950	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.048	0.952	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.047	0.953	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.046	0.953	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.046	0.954	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.046	0.954	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.045	0.954	0.001
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.045	0.954	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.040	0.960	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.035	0.965	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.034	0.966	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.032	0.968	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.970	0.030
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.029	0.971	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.026	0.974	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.025	0.975	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.024	0.975	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.023	0.976	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.020	0.980	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.019	0.981	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.018	0.982	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.016	0.983	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.016	0.984	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.015	0.985	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.015	0.985	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.014	0.986	0.000
rs6120141 lBF = `0.0159469` Chr`20` : `31,768,655`	0.000	0.986	0.014
rs1203951 lBF = `7.57183` Chr`20` : `22,611,301`	0.014	0.986	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.008	0.992	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.008	0.992	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.008	0.992	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.008	0.992	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.007	0.993	0.000
rs17124372 lBF = `0.0324534` Chr`20` : `31,798,437`	0.000	0.993	0.007
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.007	0.993	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.006	0.993	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.006	0.994	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.005	0.995	0.001
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.005	0.995	0.000
rs2424635 lBF = `0.0666228` Chr`20` : `24,717,085`	0.000	0.995	0.005
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.005	0.995	0.000
rs6071166 lBF = `-0.0188854` Chr`20` : `37,333,012`	0.000	0.995	0.005
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.004	0.995	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.004	0.996	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.996	0.004
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.996	0.004
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.003	0.996	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.003	0.997	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	0.997	0.003
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.997	0.000
rs201459901 lBF = `0.0406795` Chr`20` : `56,653,724`	0.003	0.997	0.000
rs2425224 lBF = `13.1546` Chr`20` : `35,002,849`	0.000	0.997	0.003
rs1406961 lBF = `0.508594` Chr`20` : `61,895,920`	0.000	0.997	0.003
rs13036722 lBF = `0.0786236` Chr`20` : `168,020`	0.000	0.997	0.002
rs73078593 lBF = `0.17331` Chr`20` : `12,291,523`	0.000	0.998	0.002
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.998	0.000
rs761998 lBF = `-0.0494771` Chr`20` : `14,309,952`	0.000	0.998	0.002
rs6087685 lBF = `12.9938` Chr`20` : `33,777,612`	0.000	0.998	0.002
rs187497509 lBF = `0.0037498` Chr`20` : `42,979,571`	0.000	0.998	0.002
rs965808 lBF = `-0.0162271` Chr`20` : `57,408,426`	0.000	0.998	0.002
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs74448913 lBF = `0.0355109` Chr`20` : `508,431`	0.002	0.998	0.000
rs6074578 lBF = `0.867493` Chr`20` : `191,797`	0.002	0.998	0.000
rs4468878 lBF = `0.32969` Chr`20` : `59,928,237`	0.002	0.998	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.001	0.998	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.001	0.998	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.001	0.999	0.000
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.001	0.999	0.000
rs45461993 lBF = `5.77094` Chr`20` : `61,983,901`	0.001	0.999	0.000
rs6060448 lBF = `5.01857` Chr`20` : `34,112,192`	0.000	0.999	0.001
rs430086 lBF = `-0.0156647` Chr`20` : `14,967,079`	0.001	0.999	0.000
rs2248359 lBF = `-0.0895987` Chr`20` : `52,791,518`	0.001	0.999	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.001	0.999	0.000
rs144017103 lBF = `-0.00449164` Chr`20` : `30,628,982`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs6060369 lBF = `31.7161` Chr`20` : `33,907,161`	0.000	0.999	0.001
rs6060373 lBF = `31.6676` Chr`20` : `33,914,208`	0.000	0.999	0.001
rs6088813 lBF = `35.2864` Chr`20` : `33,975,181`	0.000	0.999	0.001
rs4911494 lBF = `35.7111` Chr`20` : `33,971,914`	0.000	0.999	0.001
rs6127471 lBF = `0.88988` Chr`20` : `36,844,038`	0.001	0.999	0.000
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	0.001	0.999	0.000
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	0.000	0.999	0.001
rs62204504 lBF = `0.0196843` Chr`20` : `42,795,048`	0.000	0.999	0.001
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs2073145 lBF = `-0.00195342` Chr`20` : `56,190,634`	0.000	0.999	0.001
rs73584251 lBF = `0.00004246` Chr`20` : `1,401,491`	0.001	0.999	0.000
rs6100794 lBF = `0.00001125` Chr`20` : `58,799,036`	0.001	0.999	0.000
rs279720 lBF = `0` Chr`20` : `45,124,222`	0.001	0.999	0.001
rs115205687 lBF = `0` Chr`20` : `8,895,776`	0.001	0.999	0.001
rs74275091 lBF = `0` Chr`20` : `45,518,433`	0.001	0.999	0.001
rs147619472 lBF = `0` Chr`20` : `60,890,809`	0.001	0.999	0.001
rs186485497 lBF = `0` Chr`20` : `57,457,342`	0.001	0.999	0.001
rs190821608 lBF = `0` Chr`20` : `16,280,310`	0.001	0.999	0.001
rs187535555 lBF = `0` Chr`20` : `3,821,163`	0.001	0.999	0.001
rs11907106 lBF = `-0.00001184` Chr`20` : `12,082,642`	0.001	0.999	0.000
rs4911179 lBF = `34.7706` Chr`20` : `33,972,899`	0.000	0.999	0.001
rs2236164 lBF = `7.01229` Chr`20` : `34,097,353`	0.000	0.999	0.001
rs6046346 lBF = `-0.00001321` Chr`20` : `19,802,188`	0.001	0.999	0.000
rs191335472 lBF = `-0.00002611` Chr`20` : `2,042,352`	0.000	0.999	0.001
rs944260 lBF = `-0.087217` Chr`20` : `60,243,411`	0.000	0.999	0.001
rs147775533 lBF = `-0.00020918` Chr`20` : `48,999,495`	0.000	0.999	0.000
rs2224610 lBF = `-0.00027109` Chr`20` : `9,631,387`	0.001	0.999	0.000
rs975525 lBF = `5.99113` Chr`20` : `22,640,412`	0.001	0.999	0.000
rs6142618 lBF = `0.180564` Chr`20` : `30,725,648`	0.001	0.999	0.000
rs6116492 lBF = `0.0562969` Chr`20` : `4,698,626`	0.001	0.999	0.000
rs16999165 lBF = `0.791896` Chr`20` : `52,807,221`	0.000	0.999	0.001
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.001	0.999	0.000
rs6036169 lBF = `6.54958` Chr`20` : `22,645,877`	0.001	0.999	0.000
rs6035126 lBF = `0.055357` Chr`20` : `1,929,542`	0.001	0.999	0.000
rs2743173 lBF = `-0.114989` Chr`20` : `8,245,293`	0.001	0.999	0.000
rs143384 lBF = `39.0273` Chr`20` : `34,025,756`	0.000	0.999	0.001
rs224329 lBF = `36.2774` Chr`20` : `34,019,579`	0.000	0.999	0.001
rs6072869 lBF = `5.17642` Chr`20` : `41,399,171`	0.000	0.999	0.001
rs113118940 lBF = `-0.0100061` Chr`20` : `23,494,846`	0.001	0.999	0.000
rs2745761 lBF = `-0.00055091` Chr`20` : `8,277,943`	0.000	0.999	0.000
rs224333 lBF = `33.3177` Chr`20` : `34,023,962`	0.000	0.999	0.001
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rs1010304 lBF = `0.0254383` Chr`20` : `40,101,647`	0.000	1.000	0.000
rs2072910 lBF = `0.0189078` Chr`20` : `9,365,303`	0.000	1.000	0.000
rs228836 lBF = `0.0156662` Chr`20` : `50,065,648`	0.000	1.000	0.000
rs3761218 lBF = `-0.00241807` Chr`20` : `3,776,175`	0.000	1.000	0.000
rs1980946 lBF = `-0.00962511` Chr`20` : `48,344,311`	0.000	1.000	0.000
rs1209523 lBF = `-0.0139439` Chr`20` : `22,567,942`	0.000	1.000	0.000
rs6069325 lBF = `-0.0153551` Chr`20` : `54,139,486`	0.000	1.000	0.000
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.000	1.000	0.000
rs4814920 lBF = `-0.0166134` Chr`20` : `19,865,956`	0.000	1.000	0.000
rs2870137 lBF = `-0.0371776` Chr`20` : `38,685,541`	0.000	1.000	0.000
rs927833 lBF = `-0.0415113` Chr`20` : `22,041,577`	0.000	1.000	0.000
rs6129564 lBF = `-0.0430908` Chr`20` : `38,904,203`	0.000	1.000	0.000
rs6073958 lBF = `-0.048734` Chr`20` : `44,551,855`	0.000	1.000	0.000
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.000	1.000	0.000
rs6065904 lBF = `-0.0786957` Chr`20` : `44,534,651`	0.000	1.000	0.000
rs6136813 lBF = `-0.0822954` Chr`20` : `19,674,218`	0.000	1.000	0.000
rs2024714 lBF = `-0.097588` Chr`20` : `60,212,494`	0.000	1.000	0.000
rs2281808 lBF = `-0.101116` Chr`20` : `1,610,551`	0.000	1.000	0.000
rs6070346 lBF = `-0.111049` Chr`20` : `56,663,274`	0.000	1.000	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.000	1.000	0.000
rs76894896 lBF = `5.28084` Chr`20` : `34,865,772`	0.000	1.000	0.000
rs867186 lBF = `2.73191` Chr`20` : `33,764,554`	0.000	1.000	0.000
rs13036344 lBF = `1.14379` Chr`20` : `31,313,737`	0.000	1.000	0.000
rs970084 lBF = `0.222611` Chr`20` : `1,221,171`	0.000	1.000	0.000
rs427230 lBF = `0.148983` Chr`20` : `62,155,111`	0.000	1.000	0.000
rs12481680 lBF = `0.134` Chr`20` : `56,428,705`	0.000	1.000	0.000
rs16989303 lBF = `0.131312` Chr`20` : `4,169,079`	0.000	1.000	0.000
rs7267722 lBF = `0.10931` Chr`20` : `22,787,622`	0.000	1.000	0.000
rs7274581 lBF = `0.081653` Chr`20` : `55,018,260`	0.000	1.000	0.000
rs1570669 lBF = `0.0758861` Chr`20` : `52,774,427`	0.000	1.000	0.000
rs204664 lBF = `0.0344481` Chr`20` : `532,805`	0.000	1.000	0.000
rs6020157 lBF = `0.0340282` Chr`20` : `48,591,758`	0.000	1.000	0.000
rs2747539 lBF = `0.0322663` Chr`20` : `32,418,368`	0.000	1.000	0.000
rs220519 lBF = `0.0174788` Chr`20` : `37,279,255`	0.000	1.000	0.000
rs6085920 lBF = `-0.00040263` Chr`20` : `7,180,056`	0.000	1.000	0.000
rs113179280 lBF = `-0.00479606` Chr`20` : `11,577,305`	0.000	1.000	0.000
rs6050267 lBF = `-0.0211359` Chr`20` : `25,019,099`	0.000	1.000	0.000
rs910191 lBF = `-0.0284164` Chr`20` : `47,088,732`	0.000	1.000	0.000
rs10485681 lBF = `-0.0409523` Chr`20` : `40,493,072`	0.000	1.000	0.000
rs6110278 lBF = `-0.0467543` Chr`20` : `14,388,215`	0.000	1.000	0.000
rs6059101 lBF = `-0.0598342` Chr`20` : `31,718,653`	0.000	1.000	0.000
rs6513791 lBF = `-0.0699982` Chr`20` : `41,058,122`	0.000	1.000	0.000
rs6138150 lBF = `-0.0787003` Chr`20` : `23,847,009`	0.000	1.000	0.000
rs7267979 lBF = `-0.0816562` Chr`20` : `25,298,087`	0.000	1.000	0.000
rs6065777 lBF = `-0.104166` Chr`20` : `43,669,641`	0.000	1.000	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.000	1.000	0.000
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.000	1.000	0.000
rs1465537 lBF = `6.53338` Chr`20` : `57,698,020`	0.000	1.000	0.000
rs6137726 lBF = `5.43594` Chr`20` : `22,672,420`	0.000	1.000	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.000	1.000	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.000	1.000	0.000
rs78404372 lBF = `3.11633` Chr`20` : `55,855,793`	0.000	1.000	0.000
rs2295888 lBF = `2.36827` Chr`20` : `33,722,863`	0.000	1.000	0.000
rs6052484 lBF = `1.2705` Chr`20` : `4,260,610`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs6051520 lBF = `0.402702` Chr`20` : `351,944`	0.000	1.000	0.000
rs62202398 lBF = `0.362478` Chr`20` : `46,801,224`	0.000	1.000	0.000
rs6025590 lBF = `0.258413` Chr`20` : `56,070,505`	0.000	1.000	0.000
rs328506 lBF = `0.183532` Chr`20` : `56,029,604`	0.000	1.000	0.000
rs680379 lBF = `0.152008` Chr`20` : `12,969,400`	0.000	1.000	0.000
rs4814176 lBF = `0.139184` Chr`20` : `12,959,398`	0.000	1.000	0.000
rs364585 lBF = `0.133376` Chr`20` : `12,962,718`	0.000	1.000	0.000
rs237743 lBF = `0.0156062` Chr`20` : `47,903,019`	0.000	1.000	0.000
rs297755 lBF = `0.0130089` Chr`20` : `4,501,875`	0.000	1.000	0.000
rs6099847 lBF = `0.00673668` Chr`20` : `56,501,979`	0.000	1.000	0.000
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	0.000	1.000	0.000
rs7360412 lBF = `-0.00343882` Chr`20` : `2,800,801`	0.000	1.000	0.000
rs8124695 lBF = `-0.00344771` Chr`20` : `39,028,436`	0.000	1.000	0.000
rs1569723 lBF = `-0.0161558` Chr`20` : `44,742,064`	0.000	1.000	0.000
rs1883832 lBF = `-0.0168904` Chr`20` : `44,746,982`	0.000	1.000	0.000
rs4810485 lBF = `-0.0176317` Chr`20` : `44,747,947`	0.000	1.000	0.000
rs6046393 lBF = `-0.0190458` Chr`20` : `19,852,250`	0.000	1.000	0.000
rs6013509 lBF = `-0.0274664` Chr`20` : `51,318,351`	0.000	1.000	0.000
rs55681231 lBF = `-0.0361483` Chr`20` : `58,946,489`	0.000	1.000	0.000
rs13043694 lBF = `-0.039772` Chr`20` : `47,088,154`	0.000	1.000	0.000
rs454422 lBF = `-0.0414817` Chr`20` : `5,943,693`	0.000	1.000	0.000
rs6064045 lBF = `-0.0477969` Chr`20` : `52,701,293`	0.000	1.000	0.000
rs10485813 lBF = `-0.0491565` Chr`20` : `51,583,983`	0.000	1.000	0.000
rs6035684 lBF = `-0.0535479` Chr`20` : `20,735,577`	0.000	1.000	0.000
rs4465830 lBF = `-0.0581894` Chr`20` : `44,585,420`	0.000	1.000	0.000
rs6073972 lBF = `-0.0601376` Chr`20` : `44,590,298`	0.000	1.000	0.000
rs852069 lBF = `-0.0667541` Chr`20` : `17,122,593`	0.000	1.000	0.000
rs6138892 lBF = `-0.0779209` Chr`20` : `2,755,488`	0.000	1.000	0.000
rs13045180 lBF = `-0.0807356` Chr`20` : `31,531,544`	0.000	1.000	0.000
rs4810479 lBF = `-0.0946705` Chr`20` : `44,545,048`	0.000	1.000	0.000
rs2041278 lBF = `-0.10269` Chr`20` : `52,268,995`	0.000	1.000	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	1.000	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.000	1.000	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.000	1.000	0.000
rs62192643 lBF = `28.1451` Chr`20` : `2,279,955`	0.000	1.000	0.000
rs78143514 lBF = `18.6381` Chr`20` : `19,570,596`	0.000	1.000	0.000
rs6047867 lBF = `16.1815` Chr`20` : `2,259,925`	0.000	1.000	0.000
rs1007458 lBF = `10.3983` Chr`20` : `22,587,676`	0.000	1.000	0.000
rs4815130 lBF = `9.49417` Chr`20` : `22,635,852`	0.000	1.000	0.000
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.000	1.000	0.000
rs7274811 lBF = `2.64338` Chr`20` : `32,333,181`	0.000	1.000	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.000	1.000	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.000	1.000	0.000
rs4811971 lBF = `0.986235` Chr`20` : `56,796,784`	0.000	1.000	0.000
rs6140050 lBF = `0.539805` Chr`20` : `6,632,901`	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 X0059

log Bayes Factor = 922.497

contains 26 variants

0.9876

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9718

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9712

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9681

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9561

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9550

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9546

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9496

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9478

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9462

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9439

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9423

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9413

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9361

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9339

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9328

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9265

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9254

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9242

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9225

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9185

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9172

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9171

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9171

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9160

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9146

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9085

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9070

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9035

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9001

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8990

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8867

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8786

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8708

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8669

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8655

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8649

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.8614

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8553

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8546

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8527

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8525

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.8519

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8517

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8376

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8350

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8336

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8310

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8245

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8245

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8118

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8098

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.8093

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8081

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8073

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8036

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8025

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7986

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7980

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7979

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7962

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7962

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7901

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7880

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7774

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7732

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7714

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7707

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7691

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7673

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7657

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7604

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7422

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7324

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7302

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7295

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7205

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7199

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7193

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7148

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7072

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7012

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6938

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6802

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6590

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6585

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6555

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6544

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6489

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6386

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6302

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6246

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6231

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6228

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6184

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6120

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6107

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6079

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6075

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5955

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5843

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5823

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5683

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5565

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5499

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5132

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5056

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4894

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4893

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4588

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4499

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4450

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4448

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4150

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4040

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3982

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3802

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3604

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3557

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3424

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3092

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2993

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2815

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2805

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2798

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2681

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2668

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2633

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2433

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2414

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2371

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2228

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2082

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1675

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1409

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1307

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1270

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1149

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1012

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0941

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0904

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0864

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0842

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0794

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0634

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0578

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0558

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0543

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0528

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0523

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`)