TreeWAS – [B95.6] Staphylococcus aureus as the cause of diseases classified to other chapters

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
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.987	0.013	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.921	0.079	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.918	0.082	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.874	0.126	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.809	0.191	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.808	0.192	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.793	0.207	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.788	0.212	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.786	0.214	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.774	0.226	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.700	0.300	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.675	0.325	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.661	0.339	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.655	0.345	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.655	0.345	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.640	0.360	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.612	0.388	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.577	0.423	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.571	0.429	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.570	0.430	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.569	0.431	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.555	0.445	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.539	0.461	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.525	0.475	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.502	0.498	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.497	0.503	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.479	0.521	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.433	0.567	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.432	0.568	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.427	0.573	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.420	0.580	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.400	0.600	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.377	0.623	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.376	0.624	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.372	0.628	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.370	0.630	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.361	0.639	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.349	0.651	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.340	0.660	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.338	0.662	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.337	0.663	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.325	0.675	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.314	0.686	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.314	0.686	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.307	0.693	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.296	0.704	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.290	0.710	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.290	0.710	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.285	0.715	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.264	0.735	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.258	0.742	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.235	0.764	0.001
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.232	0.767	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.226	0.773	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.221	0.779	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.219	0.781	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.215	0.785	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.208	0.792	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.205	0.794	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.188	0.811	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.183	0.817	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.172	0.827	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.170	0.830	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.169	0.831	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.168	0.832	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.166	0.833	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.166	0.834	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.163	0.836	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.160	0.840	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.160	0.840	0.001
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.154	0.846	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.153	0.847	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.150	0.849	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.145	0.855	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.144	0.855	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.137	0.863	0.000
rs6079395 lBF = `-0.0571471` Chr`20` : `14,327,899`	0.000	0.870	0.130
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.125	0.875	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.120	0.880	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.118	0.882	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.115	0.885	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.113	0.887	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.109	0.891	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.109	0.891	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.108	0.892	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.103	0.897	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.099	0.901	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.097	0.903	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.092	0.908	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.092	0.908	0.000
rs16985493 lBF = `0.0534807` Chr`20` : `60,293,563`	0.090	0.910	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.088	0.912	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.088	0.912	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.085	0.915	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.082	0.918	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.080	0.918	0.002
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.074	0.926	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.073	0.927	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.935	0.065
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.063	0.937	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.060	0.940	0.001
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.054	0.946	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.054	0.946	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.050	0.950	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.047	0.953	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.043	0.957	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.042	0.958	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.032	0.968	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.032	0.968	0.000
rs6116492 lBF = `0.0562969` Chr`20` : `4,698,626`	0.032	0.968	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.030	0.970	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.974	0.026
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.025	0.975	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.978	0.022
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.021	0.979	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.020	0.980	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.019	0.981	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.017	0.982	0.001
rs6128386 lBF = `-0.0837842` Chr`20` : `57,193,549`	0.000	0.984	0.016
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.015	0.985	0.000
rs13042885 lBF = `-0.025527` Chr`20` : `1,924,707`	0.000	0.986	0.014
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.013	0.987	0.000
rs944260 lBF = `-0.087217` Chr`20` : `60,243,411`	0.013	0.987	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.012	0.988	0.000
rs6042935 lBF = `0.406382` Chr`20` : `14,797,572`	0.012	0.988	0.000
rs45461993 lBF = `5.77094` Chr`20` : `61,983,901`	0.011	0.989	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.011	0.989	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.010	0.990	0.000
rs6045676 lBF = `-0.0278278` Chr`20` : `1,941,171`	0.000	0.990	0.010
rs6070116 lBF = `0.366143` Chr`20` : `56,044,184`	0.000	0.991	0.009
rs6013915 lBF = `0.185354` Chr`20` : `52,810,377`	0.000	0.992	0.008
rs878131 lBF = `-0.0632548` Chr`20` : `45,680,502`	0.000	0.992	0.008
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.007	0.993	0.000
rs1158167 lBF = `-0.00362974` Chr`20` : `23,578,189`	0.000	0.993	0.007
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.006	0.994	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.005	0.994	0.000
rs761998 lBF = `-0.0494771` Chr`20` : `14,309,952`	0.000	0.994	0.006
rs4811971 lBF = `0.986235` Chr`20` : `56,796,784`	0.005	0.995	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.005	0.995	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.005	0.995	0.000
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.005	0.995	0.000
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.005	0.995	0.000
rs2224538 lBF = `-0.0802694` Chr`20` : `38,552,078`	0.000	0.995	0.005
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.004	0.995	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.004	0.996	0.000
rs844917 lBF = `-0.0723708` Chr`20` : `23,141,655`	0.000	0.996	0.004
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.003	0.997	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.997	0.003
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.003	0.997	0.000
rs911119 lBF = `-0.0082142` Chr`20` : `23,612,737`	0.000	0.997	0.003
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.003	0.997	0.000
rs127430 lBF = `0.00339958` Chr`20` : `57,164,855`	0.003	0.997	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.003	0.997	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.997	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.003	0.997	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.003	0.997	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.002	0.997	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.003	0.997	0.000
rs860148 lBF = `-0.0721227` Chr`20` : `59,765,295`	0.003	0.997	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.002	0.997	0.000
rs55864139 lBF = `0.0388845` Chr`20` : `40,049,579`	0.000	0.997	0.002
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.002	0.997	0.000
rs4815617 lBF = `-0.0351888` Chr`20` : `3,827,309`	0.002	0.998	0.000
rs1741309 lBF = `-0.0826531` Chr`20` : `4,144,577`	0.002	0.998	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.998	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.002	0.998	0.000
rs6097169 lBF = `0.310093` Chr`20` : `51,557,161`	0.002	0.998	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.000	0.998	0.002
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.002	0.998	0.000
rs6050267 lBF = `-0.0211359` Chr`20` : `25,019,099`	0.000	0.998	0.002
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.001	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.001	0.998	0.000
rs2236176 lBF = `-0.0485044` Chr`20` : `21,081,488`	0.002	0.998	0.000
rs1413020 lBF = `-0.0145749` Chr`20` : `12,730,042`	0.000	0.998	0.002
rs6136489 lBF = `-0.0201172` Chr`20` : `1,923,734`	0.000	0.999	0.001
rs3787159 lBF = `-0.09745` Chr`20` : `56,819,167`	0.001	0.999	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.001	0.999	0.000
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.001	0.999	0.000
rs35610040 lBF = `-0.0065854` Chr`20` : `23,616,469`	0.001	0.999	0.000
rs6046393 lBF = `-0.0190458` Chr`20` : `19,852,250`	0.000	0.999	0.001
rs6055685 lBF = `0.0226222` Chr`20` : `8,213,786`	0.001	0.999	0.000
rs2023454 lBF = `-0.00136264` Chr`20` : `53,267,111`	0.000	0.999	0.001
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs6041428 lBF = `0.015758` Chr`20` : `12,506,345`	0.001	0.999	0.000
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	0.001	0.999	0.000
rs150097070 lBF = `0.0457431` Chr`20` : `18,660,667`	0.001	0.999	0.000
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
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
rs187535555 lBF = `0` Chr`20` : `3,821,163`	0.001	0.999	0.001
rs115205687 lBF = `0` Chr`20` : `8,895,776`	0.001	0.999	0.001
rs279720 lBF = `0` Chr`20` : `45,124,222`	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
rs190821608 lBF = `0` Chr`20` : `16,280,310`	0.001	0.999	0.001
rs186485497 lBF = `0` Chr`20` : `57,457,342`	0.001	0.999	0.001
rs11907106 lBF = `-0.00001184` Chr`20` : `12,082,642`	0.001	0.999	0.000
rs7360412 lBF = `-0.00343882` Chr`20` : `2,800,801`	0.001	0.999	0.000
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rs78404372 lBF = `3.11633` Chr`20` : `55,855,793`	0.000	1.000	0.000
rs11167260 lBF = `2.76997` Chr`20` : `33,775,200`	0.000	1.000	0.000
rs867186 lBF = `2.73191` Chr`20` : `33,764,554`	0.000	1.000	0.000
rs7274811 lBF = `2.64338` Chr`20` : `32,333,181`	0.000	1.000	0.000
rs2276498 lBF = `0.495772` Chr`20` : `52,610,496`	0.000	1.000	0.000
rs2277862 lBF = `0.209698` Chr`20` : `34,152,782`	0.000	1.000	0.000
rs16997087 lBF = `0.11076` Chr`20` : `16,054,982`	0.000	1.000	0.000
rs7267722 lBF = `0.10931` Chr`20` : `22,787,622`	0.000	1.000	0.000
rs6110969 lBF = `0.0647183` Chr`20` : `16,197,510`	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
rs6078493 lBF = `0.00202486` Chr`20` : `1,277,099`	0.000	1.000	0.000
rs6026990 lBF = `0.00185688` Chr`20` : `58,177,615`	0.000	1.000	0.000
rs7273787 lBF = `-0.0341285` Chr`20` : `4,098,567`	0.000	1.000	0.000
rs927833 lBF = `-0.0415113` Chr`20` : `22,041,577`	0.000	1.000	0.000
rs7352944 lBF = `-0.041945` Chr`20` : `48,632,610`	0.000	1.000	0.000
rs13037749 lBF = `-0.054854` Chr`20` : `40,064,559`	0.000	1.000	0.000
rs6059101 lBF = `-0.0598342` Chr`20` : `31,718,653`	0.000	1.000	0.000
rs6044112 lBF = `-0.0790804` Chr`20` : `16,536,414`	0.000	1.000	0.000
rs2902940 lBF = `-0.0968245` Chr`20` : `39,091,487`	0.000	1.000	0.000
rs6080100 lBF = `-0.113781` Chr`20` : `16,003,406`	0.000	1.000	0.000
rs1799990 lBF = `-0.128379` Chr`20` : `4,680,251`	0.000	1.000	0.000
rs1570027 lBF = `35.8411` Chr`20` : `60,968,596`	0.000	1.000	0.000
rs2427308 lBF = `35.7238` Chr`20` : `60,969,451`	0.000	1.000	0.000
rs214782 lBF = `35.5963` Chr`20` : `2,281,970`	0.000	1.000	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.000	1.000	0.000
rs2425224 lBF = `13.1546` Chr`20` : `35,002,849`	0.000	1.000	0.000
rs1327235 lBF = `11.5922` Chr`20` : `10,969,030`	0.000	1.000	0.000
rs16982520 lBF = `11.4522` Chr`20` : `57,758,720`	0.000	1.000	0.000
rs1887320 lBF = `10.7614` Chr`20` : `10,965,998`	0.000	1.000	0.000
rs1203951 lBF = `7.57183` Chr`20` : `22,611,301`	0.000	1.000	0.000
rs76894896 lBF = `5.28084` Chr`20` : `34,865,772`	0.000	1.000	0.000
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.000	1.000	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.000	1.000	0.000
rs6088580 lBF = `0.89953` Chr`20` : `33,285,053`	0.000	1.000	0.000
rs586446 lBF = `0.660488` Chr`20` : `4,387,134`	0.000	1.000	0.000
rs1555322 lBF = `0.553694` Chr`20` : `33,849,179`	0.000	1.000	0.000
rs979012 lBF = `0.528327` Chr`20` : `6,623,374`	0.000	1.000	0.000
rs11906854 lBF = `0.460921` Chr`20` : `34,383,634`	0.000	1.000	0.000
rs2145272 lBF = `0.452284` Chr`20` : `6,626,218`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs427230 lBF = `0.148983` Chr`20` : `62,155,111`	0.000	1.000	0.000
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.000	1.000	0.000
rs871913 lBF = `0.115156` Chr`20` : `16,144,345`	0.000	1.000	0.000
rs6085533 lBF = `0.102245` Chr`20` : `6,375,460`	0.000	1.000	0.000
rs6030171 lBF = `0.0876612` Chr`20` : `40,994,094`	0.000	1.000	0.000
rs2427345 lBF = `0.0858361` Chr`20` : `61,015,611`	0.000	1.000	0.000
rs237450 lBF = `0.0453334` Chr`20` : `47,982,128`	0.000	1.000	0.000
rs17450430 lBF = `0.0325685` Chr`20` : `47,772,264`	0.000	1.000	0.000
rs1010304 lBF = `0.0254383` Chr`20` : `40,101,647`	0.000	1.000	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.000	1.000	0.000
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.000	1.000	0.000
rs55970365 lBF = `0.0105177` Chr`20` : `38,725,186`	0.000	1.000	0.000
rs6087771 lBF = `0.00596033` Chr`20` : `30,306,724`	0.000	1.000	0.000
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	0.000	1.000	0.000
rs3790160 lBF = `-0.0005509` Chr`20` : `10,639,988`	0.000	1.000	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.000	1.000	0.000
rs113179280 lBF = `-0.00479606` Chr`20` : `11,577,305`	0.000	1.000	0.000
rs1980946 lBF = `-0.00962511` Chr`20` : `48,344,311`	0.000	1.000	0.000
rs6042507 lBF = `-0.0271537` Chr`20` : `1,459,060`	0.000	1.000	0.000
rs6107516 lBF = `-0.0279149` Chr`20` : `4,677,092`	0.000	1.000	0.000
rs1291101 lBF = `-0.0352245` Chr`20` : `35,494,086`	0.000	1.000	0.000
rs1293386 lBF = `-0.035461` Chr`20` : `51,797,353`	0.000	1.000	0.000
rs3790268 lBF = `-0.0426481` Chr`20` : `19,571,581`	0.000	1.000	0.000
rs6073958 lBF = `-0.048734` Chr`20` : `44,551,855`	0.000	1.000	0.000
rs13041247 lBF = `-0.0575665` Chr`20` : `39,269,074`	0.000	1.000	0.000
rs1884136 lBF = `-0.0594906` Chr`20` : `10,850,464`	0.000	1.000	0.000
rs6066043 lBF = `-0.0730998` Chr`20` : `45,288,453`	0.000	1.000	0.000
rs6056891 lBF = `-0.0960935` Chr`20` : `9,778,729`	0.000	1.000	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	1.000	0.000
rs3787220 lBF = `23.8412` Chr`20` : `33,337,751`	0.000	1.000	0.000
rs78143514 lBF = `18.6381` Chr`20` : `19,570,596`	0.000	1.000	0.000
rs6047800 lBF = `15.1478` Chr`20` : `2,252,739`	0.000	1.000	0.000
rs6088792 lBF = `9.74149` Chr`20` : `33,909,784`	0.000	1.000	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.000	1.000	0.000
rs2050652 lBF = `7.02021` Chr`20` : `33,733,180`	0.000	1.000	0.000
rs6081690 lBF = `7.01003` Chr`20` : `19,614,751`	0.000	1.000	0.000
rs11906160 lBF = `2.57116` Chr`20` : `33,565,755`	0.000	1.000	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.000	1.000	0.000
rs2423294 lBF = `0.610162` Chr`20` : `7,819,768`	0.000	1.000	0.000
rs6140050 lBF = `0.539805` Chr`20` : `6,632,901`	0.000	1.000	0.000
rs1406961 lBF = `0.508594` Chr`20` : `61,895,920`	0.000	1.000	0.000
rs4468878 lBF = `0.32969` Chr`20` : `59,928,237`	0.000	1.000	0.000
rs970084 lBF = `0.222611` Chr`20` : `1,221,171`	0.000	1.000	0.000
rs1884897 lBF = `0.206925` Chr`20` : `6,612,832`	0.000	1.000	0.000
rs2424234 lBF = `0.206305` Chr`20` : `19,363,979`	0.000	1.000	0.000
rs6120974 lBF = `0.142245` Chr`20` : `34,126,827`	0.000	1.000	0.000
rs6060821 lBF = `0.0845104` Chr`20` : `30,294,034`	0.000	1.000	0.000
rs7274581 lBF = `0.081653` Chr`20` : `55,018,260`	0.000	1.000	0.000
rs6060960 lBF = `0.0766605` Chr`20` : `30,394,517`	0.000	1.000	0.000
rs6028335 lBF = `0.0749718` Chr`20` : `37,845,477`	0.000	1.000	0.000
rs204664 lBF = `0.0344481` Chr`20` : `532,805`	0.000	1.000	0.000
rs6579245 lBF = `0.0252453` Chr`20` : `34,125,271`	0.000	1.000	0.000
rs13042473 lBF = `0.0190139` Chr`20` : `41,409,901`	0.000	1.000	0.000
rs4811117 lBF = `0.00042833` Chr`20` : `49,671,435`	0.000	1.000	0.000
rs6108958 lBF = `-0.00167067` Chr`20` : `11,393,882`	0.000	1.000	0.000
rs183345681 lBF = `-0.0133899` Chr`20` : `61,992,700`	0.000	1.000	0.000
rs6099314 lBF = `-0.0154223` Chr`20` : `55,454,659`	0.000	1.000	0.000
rs4814920 lBF = `-0.0166134` Chr`20` : `19,865,956`	0.000	1.000	0.000
rs4925325 lBF = `-0.0265228` Chr`20` : `60,514,224`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2877

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2473

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

1.0000

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

1.0000

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

1.0000

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

1.0000

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9999

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9999

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9996

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9995

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9992

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9989

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9987

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9985

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9978

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9951

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9949

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9917

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9889

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9884

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9884

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9884

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9859

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9853

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9833

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9827

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9822

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9637

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9397

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9370

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9321

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9317

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9291

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9240

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9226

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9186

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9126

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9054

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8946

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8730

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8728

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8693

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8618

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8519

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8374

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8313

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7918

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7596

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7575

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7382

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7358

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7105

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7089

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7016

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6982

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5450

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5338

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.5272

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5062

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4710

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4680

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3889

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3829

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3728

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3405

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3328

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2873

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2801

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2694

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2582

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2288

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2166

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2061

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1985

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1889

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1832

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1787

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1470

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1307

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1196

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1142

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1100

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1075

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1059

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1029

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1029

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0863

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0791

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0754

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0728

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0636

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0621

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0563

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0535

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0503

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`)