TreeWAS – [R26.3] Immobility

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
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.668	0.332	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.659	0.340	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.659	0.341	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
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.574	0.426	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.572	0.427	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.562	0.437	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.554	0.445	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.538	0.462	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.537	0.463	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
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.488	0.512	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.469	0.530	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.537	0.463
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.463	0.537	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.439	0.561	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.432	0.568	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.424	0.575	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
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.412	0.588	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.384	0.616	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.382	0.618	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.371	0.629	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`	0.365	0.635	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
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
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
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.294	0.706	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.278	0.722	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.275	0.725	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.272	0.727	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.736	0.264
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.261	0.738	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.251	0.749	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
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
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.224	0.776	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.223	0.777	0.000
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
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.799	0.200
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
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.149	0.851	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.147	0.853	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.143	0.857	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`	0.132	0.868	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.123	0.877	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.119	0.881	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.116	0.884	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.897	0.102
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
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.085	0.914	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.079	0.920	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.076	0.924	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.071	0.929	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.054	0.946	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	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
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.035	0.965	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.035	0.965	0.000
rs6054374 lBF = `0.0370088` Chr`20` : `6,578,556`	0.000	0.971	0.029
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.027	0.973	0.000
rs6054383 lBF = `0.0620845` Chr`20` : `6,584,604`	0.000	0.977	0.023
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.023	0.977	0.000
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
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	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
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.015	0.985	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.014	0.986	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.014	0.986	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.012	0.988	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.012	0.988	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	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`	0.011	0.989	0.000
rs2207173 lBF = `1.8704` Chr`20` : `22,805,061`	0.009	0.991	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.008	0.991	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.008	0.992	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.006	0.993	0.001
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.007	0.993	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.006	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
rs7267348 lBF = `-0.0205561` Chr`20` : `48,131,036`	0.005	0.995	0.000
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	0.995	0.001
rs6110809 lBF = `-0.0517478` Chr`20` : `15,851,077`	0.000	0.996	0.004
rs13036722 lBF = `0.0786236` Chr`20` : `168,020`	0.000	0.996	0.004
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
rs6074578 lBF = `0.867493` Chr`20` : `191,797`	0.003	0.997	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.003	0.997	0.000
rs4812466 lBF = `0.0103205` Chr`20` : `39,439,483`	0.000	0.997	0.003
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
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
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.003	0.997	0.000
rs6108038 lBF = `-0.0172308` Chr`20` : `819,662`	0.003	0.997	0.000
rs6085820 lBF = `-0.00665632` Chr`20` : `6,980,635`	0.002	0.997	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.002	0.998	0.000
rs6137287 lBF = `0.0261537` Chr`20` : `21,180,259`	0.000	0.998	0.002
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs4811196 lBF = `-0.0461361` Chr`20` : `36,469,694`	0.002	0.998	0.000
rs2326679 lBF = `-0.0685404` Chr`20` : `6,035,228`	0.000	0.998	0.002
rs6094710 lBF = `-0.0148637` Chr`20` : `46,095,649`	0.002	0.998	0.000
rs16985493 lBF = `0.0534807` Chr`20` : `60,293,563`	0.002	0.998	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.000	0.998	0.002
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.998	0.000
rs17721822 lBF = `0.0115807` Chr`20` : `6,469,596`	0.000	0.998	0.002
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.002	0.998	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.002	0.998	0.000
rs7266699 lBF = `-0.0796117` Chr`20` : `58,253,438`	0.002	0.998	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.001	0.998	0.000
rs17723576 lBF = `-0.0475048` Chr`20` : `48,283,633`	0.000	0.998	0.002
rs6046178 lBF = `8.17463` Chr`20` : `19,533,453`	0.000	0.998	0.002
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	0.001	0.998	0.000
rs7262634 lBF = `0.0904071` Chr`20` : `45,834,279`	0.001	0.998	0.000
rs6066043 lBF = `-0.0730998` Chr`20` : `45,288,453`	0.000	0.998	0.001
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	0.999	0.001
rs967417 lBF = `-0.101207` Chr`20` : `6,620,893`	0.000	0.999	0.001
rs6107853 lBF = `-0.104277` Chr`20` : `6,609,877`	0.000	0.999	0.001
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.001	0.999	0.000
rs259964 lBF = `-0.0773551` Chr`20` : `57,824,309`	0.001	0.999	0.000
rs6027755 lBF = `-0.0758682` Chr`20` : `59,268,710`	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
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.001	0.999	0.000
rs11906854 lBF = `0.460921` Chr`20` : `34,383,634`	0.001	0.999	0.000
rs112815007 lBF = `-0.00179143` Chr`20` : `532,257`	0.000	0.999	0.001
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.000	0.999	0.001
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.001	0.999	0.000
rs932425 lBF = `0.0380209` Chr`20` : `37,873,610`	0.000	0.999	0.001
rs74448913 lBF = `0.0355109` Chr`20` : `508,431`	0.000	0.999	0.001
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.001	0.999	0.000
rs34602589 lBF = `0.652866` Chr`20` : `43,768,734`	0.000	0.999	0.001
rs1573706 lBF = `7.31447` Chr`20` : `40,921,149`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs6016348 lBF = `-0.0665469` Chr`20` : `39,038,828`	0.000	0.999	0.001
rs6065904 lBF = `-0.0786957` Chr`20` : `44,534,651`	0.001	0.999	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.001	0.999	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.001	0.999	0.000
rs35829183 lBF = `-0.025036` Chr`20` : `20,044,759`	0.001	0.999	0.000
rs2236178 lBF = `-0.0488682` Chr`20` : `21,142,813`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs2073302 lBF = `-0.0633029` Chr`20` : `13,052,671`	0.001	0.999	0.000
rs12480807 lBF = `-0.072081` Chr`20` : `43,064,654`	0.001	0.999	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.001	0.999	0.000
rs6092477 lBF = `-0.0478855` Chr`20` : `55,991,695`	0.001	0.999	0.000
rs2425163 lBF = `2.5363` Chr`20` : `34,432,670`	0.001	0.999	0.000
rs2050652 lBF = `7.02021` Chr`20` : `33,733,180`	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
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
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
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	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
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.001	0.999	0.000
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
rs6027072 lBF = `-0.0222178` Chr`20` : `37,284,070`	0.001	0.999	0.000
rs62185668 lBF = `5.73859` Chr`20` : `10,961,935`	0.000	0.999	0.001
rs6058869 lBF = `0.700504` Chr`20` : `31,348,750`	0.000	0.999	0.001
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.000	0.999	0.001
rs6087990 lBF = `0.275541` Chr`20` : `31,349,908`	0.000	0.999	0.001
rs6062496 lBF = `5.7564` Chr`20` : `62,329,099`	0.001	0.999	0.000
rs13041126 lBF = `0.0558355` Chr`20` : `51,092,996`	0.000	0.999	0.001
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rs17124372 lBF = `0.0324534` Chr`20` : `31,798,437`	0.000	1.000	0.000
rs76473307 lBF = `0.0104573` Chr`20` : `57,406,068`	0.000	1.000	0.000
rs6085920 lBF = `-0.00040263` Chr`20` : `7,180,056`	0.000	1.000	0.000
rs1998081 lBF = `-0.00276222` Chr`20` : `23,057,482`	0.000	1.000	0.000
rs113179280 lBF = `-0.00479606` Chr`20` : `11,577,305`	0.000	1.000	0.000
rs34972666 lBF = `-0.0212135` Chr`20` : `2,384,972`	0.000	1.000	0.000
rs944260 lBF = `-0.087217` Chr`20` : `60,243,411`	0.000	1.000	0.000
rs6059969 lBF = `27.4928` Chr`20` : `33,245,284`	0.000	1.000	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.000	1.000	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.000	1.000	0.000
rs16999165 lBF = `0.791896` Chr`20` : `52,807,221`	0.000	1.000	0.000
rs4243971 lBF = `0.641671` Chr`20` : `30,849,517`	0.000	1.000	0.000
rs55797066 lBF = `-0.00886684` Chr`20` : `50,209,920`	0.000	1.000	0.000
rs11699237 lBF = `-0.0217365` Chr`20` : `55,683,996`	0.000	1.000	0.000
rs6129564 lBF = `-0.0430908` Chr`20` : `38,904,203`	0.000	1.000	0.000
rs6025281 lBF = `-0.0436026` Chr`20` : `55,561,000`	0.000	1.000	0.000
rs1008953 lBF = `-0.0553544` Chr`20` : `43,980,726`	0.000	1.000	0.000
rs964293 lBF = `-0.0683461` Chr`20` : `52,816,717`	0.000	1.000	0.000
rs2235808 lBF = `-0.0858124` Chr`20` : `42,815,795`	0.000	1.000	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs75691080 lBF = `0.0598647` Chr`20` : `62,269,750`	0.000	1.000	0.000
rs1127354 lBF = `0.0132189` Chr`20` : `3,193,842`	0.000	1.000	0.000
rs3790268 lBF = `-0.0426481` Chr`20` : `19,571,581`	0.000	1.000	0.000
rs13038095 lBF = `-0.0471696` Chr`20` : `46,425,576`	0.000	1.000	0.000
rs1884136 lBF = `-0.0594906` Chr`20` : `10,850,464`	0.000	1.000	0.000
rs6138892 lBF = `-0.0779209` Chr`20` : `2,755,488`	0.000	1.000	0.000
rs2248359 lBF = `-0.0895987` Chr`20` : `52,791,518`	0.000	1.000	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs62202398 lBF = `0.362478` Chr`20` : `46,801,224`	0.000	1.000	0.000
rs970084 lBF = `0.222611` Chr`20` : `1,221,171`	0.000	1.000	0.000
rs6016142 lBF = `0.0310057` Chr`20` : `38,300,807`	0.000	1.000	0.000
rs159788 lBF = `0.0175034` Chr`20` : `4,352,104`	0.000	1.000	0.000
rs127430 lBF = `0.00339958` Chr`20` : `57,164,855`	0.000	1.000	0.000
rs4239702 lBF = `0.00330044` Chr`20` : `44,749,251`	0.000	1.000	0.000
rs6078493 lBF = `0.00202486` Chr`20` : `1,277,099`	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
rs6032614 lBF = `-0.048299` Chr`20` : `44,609,595`	0.000	1.000	0.000
rs7263077 lBF = `-0.067404` Chr`20` : `41,234,578`	0.000	1.000	0.000
rs12480534 lBF = `-0.0741929` Chr`20` : `44,761,485`	0.000	1.000	0.000
rs214815 lBF = `16.1287` Chr`20` : `2,298,616`	0.000	1.000	0.000
rs6017235 lBF = `0.915693` Chr`20` : `42,620,592`	0.000	1.000	0.000
rs4468878 lBF = `0.32969` Chr`20` : `59,928,237`	0.000	1.000	0.000
rs6142618 lBF = `0.180564` Chr`20` : `30,725,648`	0.000	1.000	0.000
rs658495 lBF = `0.0934974` Chr`20` : `3,737,495`	0.000	1.000	0.000
rs11696845 lBF = `0.0701649` Chr`20` : `43,371,320`	0.000	1.000	0.000
rs6073450 lBF = `0.0682833` Chr`20` : `43,086,648`	0.000	1.000	0.000
rs362987 lBF = `-0.0019999` Chr`20` : `10,277,452`	0.000	1.000	0.000
rs1158167 lBF = `-0.00362974` Chr`20` : `23,578,189`	0.000	1.000	0.000
rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.000	1.000	0.000
rs1293386 lBF = `-0.035461` Chr`20` : `51,797,353`	0.000	1.000	0.000
rs16985452 lBF = `-0.0401319` Chr`20` : `60,265,853`	0.000	1.000	0.000
rs6095357 lBF = `-0.0597717` Chr`20` : `47,523,865`	0.000	1.000	0.000
rs6513791 lBF = `-0.0699982` Chr`20` : `41,058,122`	0.000	1.000	0.000
rs11696501 lBF = `-0.0889354` Chr`20` : `44,124,523`	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
rs2236164 lBF = `7.01229` Chr`20` : `34,097,353`	0.000	1.000	0.000
rs1465537 lBF = `6.53338` Chr`20` : `57,698,020`	0.000	1.000	0.000
rs214830 lBF = `6.04206` Chr`20` : `2,321,105`	0.000	1.000	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.000	1.000	0.000
rs4297946 lBF = `1.68864` Chr`20` : `39,811,275`	0.000	1.000	0.000
rs6029526 lBF = `1.42228` Chr`20` : `39,672,618`	0.000	1.000	0.000
rs1406961 lBF = `0.508594` Chr`20` : `61,895,920`	0.000	1.000	0.000
rs6127813 lBF = `0.166472` Chr`20` : `55,255,054`	0.000	1.000	0.000
rs4811340 lBF = `0.16495` Chr`20` : `51,009,757`	0.000	1.000	0.000
rs6040399 lBF = `0.1351` Chr`20` : `11,157,011`	0.000	1.000	0.000
rs6080212 lBF = `0.104464` Chr`20` : `16,277,630`	0.000	1.000	0.000
rs716316 lBF = `0.096738` Chr`20` : `14,908,741`	0.000	1.000	0.000
rs6048216 lBF = `0.0425087` Chr`20` : `22,581,268`	0.000	1.000	0.000
rs6026990 lBF = `0.00185688` Chr`20` : `58,177,615`	0.000	1.000	0.000
rs3890324 lBF = `-0.00538085` Chr`20` : `41,072,655`	0.000	1.000	0.000
rs4815191 lBF = `-0.00705784` Chr`20` : `23,268,637`	0.000	1.000	0.000
rs6099314 lBF = `-0.0154223` Chr`20` : `55,454,659`	0.000	1.000	0.000
rs4815617 lBF = `-0.0351888` Chr`20` : `3,827,309`	0.000	1.000	0.000
rs2870137 lBF = `-0.0371776` Chr`20` : `38,685,541`	0.000	1.000	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.000	1.000	0.000
rs236114 lBF = `-0.0620348` Chr`20` : `5,935,385`	0.000	1.000	0.000
rs6134031 lBF = `-0.0774618` Chr`20` : `10,752,610`	0.000	1.000	0.000
rs200639 lBF = `-0.08549` Chr`20` : `51,906,277`	0.000	1.000	0.000
rs4812712 lBF = `-0.08616` Chr`20` : `42,104,939`	0.000	1.000	0.000
rs6055971 lBF = `15.392` Chr`20` : `8,627,642`	0.000	1.000	0.000
rs6047800 lBF = `15.1478` Chr`20` : `2,252,739`	0.000	1.000	0.000
rs1535067 lBF = `14.7922` Chr`20` : `8,607,333`	0.000	1.000	0.000
rs4815130 lBF = `9.49417` Chr`20` : `22,635,852`	0.000	1.000	0.000
rs6081690 lBF = `7.01003` Chr`20` : `19,614,751`	0.000	1.000	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.000	1.000	0.000
rs6024905 lBF = `0.371404` Chr`20` : `36,957,837`	0.000	1.000	0.000
rs7274581 lBF = `0.081653` Chr`20` : `55,018,260`	0.000	1.000	0.000
rs6056869 lBF = `0.0352194` Chr`20` : `9,762,448`	0.000	1.000	0.000
rs2072910 lBF = `0.0189078` Chr`20` : `9,365,303`	0.000	1.000	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.000	1.000	0.000
rs3903703 lBF = `0.0123464` Chr`20` : `12,945,963`	0.000	1.000	0.000
rs11087123 lBF = `0.0066013` Chr`20` : `15,120,744`	0.000	1.000	0.000
rs8124695 lBF = `-0.00344771` Chr`20` : `39,028,436`	0.000	1.000	0.000
rs55681231 lBF = `-0.0361483` Chr`20` : `58,946,489`	0.000	1.000	0.000
rs6073958 lBF = `-0.048734` Chr`20` : `44,551,855`	0.000	1.000	0.000
rs6072161 lBF = `-0.0629835` Chr`20` : `39,471,427`	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

0.5185

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2339

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9961

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9957

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9951

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9926

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9888

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9859

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9858

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9793

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9783

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9779

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9771

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9725

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9722

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9688

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9678

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9676

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9675

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9593

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9559

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9512

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9472

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9437

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9430

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9397

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9346

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9326

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9317

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9304

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9301

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9277

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9261

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9209

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9200

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9107

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9074

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9051

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9013

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9002

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8938

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8889

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8886

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8859

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8756

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8743

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8725

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8698

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8563

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8562

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8547

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8190

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8138

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8132

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8059

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7974

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7906

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7900

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7883

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7869

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7845

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7760

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7732

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7714

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7697

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7665

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7634

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7629

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7596

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7563

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7554

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7467

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7431

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7294

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7279

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7237

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7233

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7225

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7145

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7069

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7050

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7006

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6972

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6818

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6786

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6638

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6629

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6607

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6543

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6534

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6502

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6426

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6304

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6215

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6099

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6047

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6020

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5904

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5878

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5843

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5761

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5746

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5601

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5548

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5475

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5375

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5359

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5291

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5174

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4935

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4896

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4885

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4878

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4864

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4850

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4819

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4797

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4750

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4513

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4362

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4346

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4243

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4068

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3964

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3953

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3929

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3735

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3511

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3230

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3135

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2977

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2931

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2842

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2687

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2635

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2524

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2504

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2434

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2310

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2226

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2198

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1724

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1711

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1695

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1506

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1379

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1238

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1229

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1186

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1061

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0929

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0866

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0791

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0701

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0690

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0620

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0605

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0528

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.0520

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`)