TreeWAS – [R26.1] Paralytic gait

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
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.674	0.326	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.651	0.349	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.646	0.353	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.627	0.373	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.625	0.375	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.604	0.396	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.599	0.401	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.574	0.426	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.562	0.437	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.527	0.473	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.518	0.482	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.515	0.485	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.513	0.487	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.493	0.507
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.488	0.512	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.472	0.528	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.471	0.529	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.469	0.530	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.440	0.559	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.439	0.561	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.431	0.568	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.422	0.578	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.414	0.586	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.384	0.616	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.384	0.616	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.373	0.627	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.369	0.631	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.368	0.632	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.355	0.645	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.353	0.647	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.353	0.647	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.347	0.653	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.341	0.658	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.339	0.661	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.332	0.667	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.326	0.674	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.325	0.675	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.322	0.678	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.305	0.694	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.300	0.700	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.285	0.715	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.280	0.719	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.736	0.263
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.261	0.738	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.245	0.755	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.238	0.762	0.001
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.234	0.765	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.232	0.767	0.001
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.230	0.770	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.229	0.771	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.223	0.777	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.220	0.780	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.794	0.206
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.203	0.796	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.201	0.799	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.197	0.803	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.189	0.810	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.183	0.816	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.172	0.828	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.147	0.853	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.147	0.853	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.136	0.864	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.121	0.879	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.118	0.881	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.116	0.883	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.108	0.892	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.897	0.103
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.102	0.898	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.097	0.902	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.089	0.911	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.083	0.917	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.080	0.920	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.079	0.920	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.072	0.928	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.043	0.957	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.038	0.961	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.038	0.962	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.037	0.962	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.036	0.963	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.035	0.965	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.026	0.974	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.023	0.977	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.022	0.978	0.000
rs6054374 lBF = `0.0370088` Chr`20` : `6,578,556`	0.000	0.981	0.019
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.018	0.982	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.018	0.982	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.018	0.982	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.016	0.984	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.016	0.984	0.000
rs6054383 lBF = `0.0620845` Chr`20` : `6,584,604`	0.000	0.984	0.016
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.014	0.986	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.013	0.987	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.013	0.987	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.012	0.988	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.012	0.988	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.011	0.988	0.000
rs73084982 lBF = `0.0202311` Chr`20` : `3,411,053`	0.010	0.989	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.008	0.991	0.000
rs2207173 lBF = `1.8704` Chr`20` : `22,805,061`	0.008	0.992	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.007	0.992	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.006	0.993	0.001
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.007	0.993	0.000
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.007	0.993	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.006	0.993	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.005	0.994	0.000
rs13036722 lBF = `0.0786236` Chr`20` : `168,020`	0.000	0.995	0.005
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.004	0.995	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.004	0.996	0.001
rs6074578 lBF = `0.867493` Chr`20` : `191,797`	0.004	0.996	0.000
rs7267348 lBF = `-0.0205561` Chr`20` : `48,131,036`	0.004	0.996	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.003	0.997	0.000
rs2273359 lBF = `0.125112` Chr`20` : `57,562,102`	0.003	0.997	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.003	0.997	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.003	0.997	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.003	0.997	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.997	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.003	0.997	0.000
rs6085820 lBF = `-0.00665632` Chr`20` : `6,980,635`	0.003	0.997	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.003	0.997	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.003	0.997	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.003	0.997	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.000	0.997	0.002
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.002	0.998	0.000
rs6110809 lBF = `-0.0517478` Chr`20` : `15,851,077`	0.000	0.998	0.002
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.002	0.998	0.000
rs4811196 lBF = `-0.0461361` Chr`20` : `36,469,694`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs16985493 lBF = `0.0534807` Chr`20` : `60,293,563`	0.002	0.998	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.998	0.000
rs6094710 lBF = `-0.0148637` Chr`20` : `46,095,649`	0.002	0.998	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.001	0.998	0.000
rs7262634 lBF = `0.0904071` Chr`20` : `45,834,279`	0.001	0.998	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.001	0.998	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.001	0.998	0.000
rs11906854 lBF = `0.460921` Chr`20` : `34,383,634`	0.001	0.998	0.000
rs6046178 lBF = `8.17463` Chr`20` : `19,533,453`	0.000	0.998	0.001
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.001	0.999	0.000
rs6108038 lBF = `-0.0172308` Chr`20` : `819,662`	0.001	0.999	0.000
rs6065904 lBF = `-0.0786957` Chr`20` : `44,534,651`	0.001	0.999	0.000
rs6137287 lBF = `0.0261537` Chr`20` : `21,180,259`	0.000	0.999	0.001
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	0.001	0.999	0.000
rs932425 lBF = `0.0380209` Chr`20` : `37,873,610`	0.000	0.999	0.001
rs115786578 lBF = `0.0351252` Chr`20` : `32,737,601`	0.001	0.999	0.000
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs1028444 lBF = `-0.0547138` Chr`20` : `22,267,058`	0.000	0.999	0.001
rs17723576 lBF = `-0.0475048` Chr`20` : `48,283,633`	0.000	0.999	0.001
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.001	0.999	0.000
rs6066043 lBF = `-0.0730998` Chr`20` : `45,288,453`	0.000	0.999	0.001
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	0.999	0.001
rs112815007 lBF = `-0.00179143` Chr`20` : `532,257`	0.000	0.999	0.001
rs2425163 lBF = `2.5363` Chr`20` : `34,432,670`	0.001	0.999	0.000
rs74448913 lBF = `0.0355109` Chr`20` : `508,431`	0.000	0.999	0.001
rs6105057 lBF = `0.00519414` Chr`20` : `13,229,326`	0.000	0.999	0.001
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.001	0.999	0.000
rs6049839 lBF = `-0.0755009` Chr`20` : `2,518,565`	0.000	0.999	0.001
rs7266699 lBF = `-0.0796117` Chr`20` : `58,253,438`	0.001	0.999	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs1223271 lBF = `-0.0492351` Chr`20` : `13,296,912`	0.001	0.999	0.000
rs17721822 lBF = `0.0115807` Chr`20` : `6,469,596`	0.000	0.999	0.001
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.001	0.999	0.000
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.000	0.999	0.001
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.001	0.999	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	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
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
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	0.001	0.999	0.000
rs1573706 lBF = `7.31447` Chr`20` : `40,921,149`	0.001	0.999	0.000
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
rs6065906 lBF = `-0.0575093` Chr`20` : `44,554,015`	0.001	0.999	0.000
rs6068020 lBF = `-0.113666` Chr`20` : `50,559,652`	0.001	0.999	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.001	0.999	0.000
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.000	0.999	0.001
rs147775533 lBF = `-0.00020918` Chr`20` : `48,999,495`	0.001	0.999	0.000
rs2224610 lBF = `-0.00027109` Chr`20` : `9,631,387`	0.001	0.999	0.000
rs34602589 lBF = `0.652866` Chr`20` : `43,768,734`	0.000	0.999	0.001
rs7679 lBF = `-0.0584116` Chr`20` : `44,576,502`	0.001	0.999	0.000
rs297755 lBF = `0.0130089` Chr`20` : `4,501,875`	0.000	0.999	0.001
rs4810479 lBF = `-0.0946705` Chr`20` : `44,545,048`	0.000	0.999	0.001
rs12481680 lBF = `0.134` Chr`20` : `56,428,705`	0.000	0.999	0.001
rs7360412 lBF = `-0.00343882` Chr`20` : `2,800,801`	0.000	0.999	0.001
rs6073972 lBF = `-0.0601376` Chr`20` : `44,590,298`	0.001	0.999	0.000
rs157640 lBF = `0.0015087` Chr`20` : `53,414,539`	0.000	0.999	0.001
rs2745761 lBF = `-0.00055091` Chr`20` : `8,277,943`	0.000	0.999	0.000
rs6027072 lBF = `-0.0222178` Chr`20` : `37,284,070`	0.001	0.999	0.000
rs6064045 lBF = `-0.0477969` Chr`20` : `52,701,293`	0.000	0.999	0.001
rs150097070 lBF = `0.0457431` Chr`20` : `18,660,667`	0.000	0.999	0.000
rs4465830 lBF = `-0.0581894` Chr`20` : `44,585,420`	0.001	0.999	0.000
rs3787220 lBF = `23.8412` Chr`20` : `33,337,751`	0.000	0.999	0.001
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rs973409 lBF = `10.4088` Chr`20` : `32,536,364`	0.000	1.000	0.000
rs4809370 lBF = `8.15462` Chr`20` : `62,470,872`	0.000	1.000	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.000	1.000	0.000
rs214830 lBF = `6.04206` Chr`20` : `2,321,105`	0.000	1.000	0.000
rs17396317 lBF = `5.25351` Chr`20` : `31,790,377`	0.000	1.000	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.000	1.000	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs4813003 lBF = `1.02644` Chr`20` : `44,763,284`	0.000	1.000	0.000
rs328506 lBF = `0.183532` Chr`20` : `56,029,604`	0.000	1.000	0.000
rs6127813 lBF = `0.166472` Chr`20` : `55,255,054`	0.000	1.000	0.000
rs658495 lBF = `0.0934974` Chr`20` : `3,737,495`	0.000	1.000	0.000
rs11700100 lBF = `0.0793417` Chr`20` : `56,080,049`	0.000	1.000	0.000
rs2229205 lBF = `0.049829` Chr`20` : `62,729,431`	0.000	1.000	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.000	1.000	0.000
rs237743 lBF = `0.0156062` Chr`20` : `47,903,019`	0.000	1.000	0.000
rs1127354 lBF = `0.0132189` Chr`20` : `3,193,842`	0.000	1.000	0.000
rs1567865 lBF = `0.0094387` Chr`20` : `47,881,967`	0.000	1.000	0.000
rs4810485 lBF = `-0.0176317` Chr`20` : `44,747,947`	0.000	1.000	0.000
rs62195918 lBF = `-0.0297742` Chr`20` : `8,275,645`	0.000	1.000	0.000
rs2870137 lBF = `-0.0371776` Chr`20` : `38,685,541`	0.000	1.000	0.000
rs6013355 lBF = `-0.0379993` Chr`20` : `50,637,660`	0.000	1.000	0.000
rs16985452 lBF = `-0.0401319` Chr`20` : `60,265,853`	0.000	1.000	0.000
rs4814615 lBF = `-0.0668948` Chr`20` : `17,357,573`	0.000	1.000	0.000
rs6072091 lBF = `-0.0686652` Chr`20` : `39,292,074`	0.000	1.000	0.000
rs6031882 lBF = `-0.0702694` Chr`20` : `35,809,783`	0.000	1.000	0.000
rs844917 lBF = `-0.0723708` Chr`20` : `23,141,655`	0.000	1.000	0.000
rs12480534 lBF = `-0.0741929` Chr`20` : `44,761,485`	0.000	1.000	0.000
rs259964 lBF = `-0.0773551` Chr`20` : `57,824,309`	0.000	1.000	0.000
rs1741309 lBF = `-0.0826531` Chr`20` : `4,144,577`	0.000	1.000	0.000
rs6076960 lBF = `-0.0828422` Chr`20` : `6,186,157`	0.000	1.000	0.000
rs6062788 lBF = `-0.0874556` Chr`20` : `61,693,606`	0.000	1.000	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	1.000	0.000
rs6120513 lBF = `6.41611` Chr`20` : `32,675,636`	0.000	1.000	0.000
rs6137726 lBF = `5.43594` Chr`20` : `22,672,420`	0.000	1.000	0.000
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	0.000	1.000	0.000
rs6063312 lBF = `0.654202` Chr`20` : `47,343,059`	0.000	1.000	0.000
rs6040449 lBF = `0.377949` Chr`20` : `11,209,522`	0.000	1.000	0.000
rs6044777 lBF = `0.331462` Chr`20` : `17,368,542`	0.000	1.000	0.000
rs6039763 lBF = `0.202961` Chr`20` : `10,183,517`	0.000	1.000	0.000
rs6080550 lBF = `0.148133` Chr`20` : `1,759,590`	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
rs6028335 lBF = `0.0749718` Chr`20` : `37,845,477`	0.000	1.000	0.000
rs237450 lBF = `0.0453334` Chr`20` : `47,982,128`	0.000	1.000	0.000
rs6048216 lBF = `0.0425087` Chr`20` : `22,581,268`	0.000	1.000	0.000
rs11086243 lBF = `0.0395968` Chr`20` : `46,779,235`	0.000	1.000	0.000
rs6016142 lBF = `0.0310057` Chr`20` : `38,300,807`	0.000	1.000	0.000
rs13042473 lBF = `0.0190139` Chr`20` : `41,409,901`	0.000	1.000	0.000
rs228836 lBF = `0.0156662` Chr`20` : `50,065,648`	0.000	1.000	0.000
rs6099847 lBF = `0.00673668` Chr`20` : `56,501,979`	0.000	1.000	0.000
rs6056209 lBF = `0.00415977` Chr`20` : `8,836,771`	0.000	1.000	0.000
rs10470013 lBF = `0.0023234` Chr`20` : `49,609,677`	0.000	1.000	0.000
rs6026990 lBF = `0.00185688` Chr`20` : `58,177,615`	0.000	1.000	0.000
rs6139030 lBF = `-0.0024395` Chr`20` : `3,187,733`	0.000	1.000	0.000
rs11697186 lBF = `-0.00429208` Chr`20` : `3,185,123`	0.000	1.000	0.000
rs6099314 lBF = `-0.0154223` Chr`20` : `55,454,659`	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
rs6074022 lBF = `-0.0202025` Chr`20` : `44,740,196`	0.000	1.000	0.000
rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.000	1.000	0.000
rs4815879 lBF = `-0.0208377` Chr`20` : `5,949,534`	0.000	1.000	0.000
rs8115854 lBF = `-0.021483` Chr`20` : `35,766,337`	0.000	1.000	0.000
rs4549165 lBF = `-0.0357221` Chr`20` : `46,336,026`	0.000	1.000	0.000
rs6102185 lBF = `-0.0434923` Chr`20` : `39,478,533`	0.000	1.000	0.000
rs6102059 lBF = `-0.0450916` Chr`20` : `39,228,784`	0.000	1.000	0.000
rs6032614 lBF = `-0.048299` Chr`20` : `44,609,595`	0.000	1.000	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.000	1.000	0.000
rs1008953 lBF = `-0.0553544` Chr`20` : `43,980,726`	0.000	1.000	0.000
rs67702392 lBF = `-0.0598091` Chr`20` : `8,878,281`	0.000	1.000	0.000
rs878131 lBF = `-0.0632548` Chr`20` : `45,680,502`	0.000	1.000	0.000
rs2073302 lBF = `-0.0633029` Chr`20` : `13,052,671`	0.000	1.000	0.000
rs11696277 lBF = `-0.066727` Chr`20` : `17,264,604`	0.000	1.000	0.000
rs6138150 lBF = `-0.0787003` Chr`20` : `23,847,009`	0.000	1.000	0.000
rs6046396 lBF = `-0.0793566` Chr`20` : `19,852,503`	0.000	1.000	0.000
rs2248359 lBF = `-0.0895987` Chr`20` : `52,791,518`	0.000	1.000	0.000
rs2041278 lBF = `-0.10269` Chr`20` : `52,268,995`	0.000	1.000	0.000
rs6075524 lBF = `19.2434` Chr`20` : `19,509,918`	0.000	1.000	0.000
rs214815 lBF = `16.1287` Chr`20` : `2,298,616`	0.000	1.000	0.000
rs1007458 lBF = `10.3983` Chr`20` : `22,587,676`	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
rs1465537 lBF = `6.53338` Chr`20` : `57,698,020`	0.000	1.000	0.000
rs8114671 lBF = `2.68271` Chr`20` : `33,789,142`	0.000	1.000	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.000	1.000	0.000
rs2276498 lBF = `0.495772` Chr`20` : `52,610,496`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs742614 lBF = `0.351691` Chr`20` : `32,482,632`	0.000	1.000	0.000
rs2070755 lBF = `0.26907` Chr`20` : `56,138,040`	0.000	1.000	0.000
rs4911259 lBF = `0.194095` Chr`20` : `31,376,282`	0.000	1.000	0.000
rs6080212 lBF = `0.104464` Chr`20` : `16,277,630`	0.000	1.000	0.000
rs6060960 lBF = `0.0766605` Chr`20` : `30,394,517`	0.000	1.000	0.000
rs11696845 lBF = `0.0701649` Chr`20` : `43,371,320`	0.000	1.000	0.000
rs7267421 lBF = `0.0625389` Chr`20` : `15,227,636`	0.000	1.000	0.000
rs59972978 lBF = `0.0623434` Chr`20` : `56,058,355`	0.000	1.000	0.000
rs13041126 lBF = `0.0558355` Chr`20` : `51,092,996`	0.000	1.000	0.000
rs816535 lBF = `0.0536421` Chr`20` : `26,255,996`	0.000	1.000	0.000
rs6091540 lBF = `0.050287` Chr`20` : `51,087,862`	0.000	1.000	0.000
rs6515773 lBF = `0.0393888` Chr`20` : `3,174,105`	0.000	1.000	0.000
rs2064279 lBF = `0.0391112` Chr`20` : `42,094,474`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5174

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2339

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7169

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7168

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7167

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7167

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7167

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7165

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7165

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7164

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7163

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7162

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7162

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7162

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7161

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7159

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7152

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7151

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7150

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7147

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7146

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7145

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7128

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7117

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7113

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7108

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7095

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7079

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7079

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7077

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7061

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7053

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7046

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7039

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7011

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6997

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6992

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6987

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6975

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6956

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6945

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6941

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6936

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6875

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6838

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6834

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6799

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6791

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6773

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6759

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6715

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6712

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6672

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6625

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6613

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6567

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6550

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6514

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6503

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6439

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6439

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6430

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6417

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6387

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6376

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6310

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6298

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6274

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6252

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6232

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6225

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6203

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6189

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6127

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6125

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6054

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6018

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5992

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5981

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5923

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5896

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5871

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5854

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5852

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5846

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5728

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5659

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5615

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5612

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5583

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5566

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5495

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5273

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5226

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5146

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5024

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5007

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4889

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4857

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4795

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4727

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4633

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4590

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4526

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4335

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4306

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4229

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4214

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4185

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4066

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4011

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3975

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3969

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3961

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3930

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3699

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3617

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3333

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3312

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3197

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3159

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2820

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2680

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2673

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2561

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2441

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2352

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2226

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2129

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2105

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2049

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1962

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1764

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1699

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1675

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1601

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1554

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1504

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1427

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1394

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1300

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1265

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1052

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0927

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0905

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0878

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0761

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0738

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0736

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0725

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0662

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0604

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.0511

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`)