TreeWAS – [N18.5] Chronic kidney disease, stage 5

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
rs4297946 lBF = `1.68864` Chr`20` : `39,811,275`	0.000	0.127	0.873
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.836	0.164	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.830	0.170	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.814	0.186	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.811	0.189	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.803	0.197	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.796	0.204	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.791	0.209	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.755	0.245	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.754	0.246	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.731	0.269	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.667	0.333	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.665	0.335	0.000
rs6029526 lBF = `1.42228` Chr`20` : `39,672,618`	0.000	0.367	0.633
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.615	0.384	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.610	0.390	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.564	0.436	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.551	0.449	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.462	0.538
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.532	0.468	0.000
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	0.000	0.469	0.531
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.528	0.472	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.508	0.492	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.495	0.505	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.492	0.508	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.490	0.510	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.489	0.511	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.475	0.525	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.455	0.545	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.547	0.453
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.410	0.590	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.408	0.592	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.399	0.600	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.397	0.603	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.396	0.604	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.394	0.606	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.391	0.609	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.382	0.618	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.377	0.623	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.375	0.625	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.364	0.636	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.356	0.644	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.346	0.654	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.336	0.663	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.324	0.676	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.301	0.699	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.283	0.716	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.277	0.723	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.272	0.727	0.002
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.270	0.730	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.269	0.730	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.264	0.736	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.244	0.756	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.237	0.763	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.237	0.763	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.191	0.809	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.180	0.819	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.169	0.831	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.167	0.833	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.165	0.835	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.164	0.836	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.155	0.844	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.149	0.851	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.147	0.852	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.146	0.854	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.128	0.872	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.119	0.881	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.884	0.115
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.112	0.888	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.109	0.891	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.106	0.894	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.907	0.092
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.090	0.910	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.079	0.921	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.073	0.927	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.069	0.931	0.001
rs13036722 lBF = `0.0786236` Chr`20` : `168,020`	0.000	0.942	0.058
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.056	0.944	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.053	0.947	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.047	0.953	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.043	0.957	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.042	0.958	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.040	0.960	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.040	0.960	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.038	0.962	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.038	0.962	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.029	0.971	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.028	0.972	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.028	0.972	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.027	0.973	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.025	0.975	0.000
rs4813802 lBF = `8.65379` Chr`20` : `6,699,595`	0.025	0.975	0.000
rs2423942 lBF = `-0.0257381` Chr`20` : `15,323,282`	0.000	0.976	0.024
rs17216707 lBF = `7.10637` Chr`20` : `52,732,362`	0.000	0.977	0.023
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.021	0.978	0.001
rs1015563 lBF = `8.09166` Chr`20` : `6,690,101`	0.018	0.982	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.016	0.983	0.001
rs6013915 lBF = `0.185354` Chr`20` : `52,810,377`	0.000	0.983	0.017
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.016	0.984	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.000	0.985	0.015
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.014	0.986	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.013	0.987	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.013	0.987	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.011	0.988	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.011	0.989	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.011	0.989	0.000
rs6085661 lBF = `9.12054` Chr`20` : `6,693,128`	0.010	0.990	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.010	0.990	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.010	0.990	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.008	0.992	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.007	0.992	0.000
rs73078593 lBF = `0.17331` Chr`20` : `12,291,523`	0.000	0.992	0.008
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.008	0.992	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.007	0.993	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.007	0.993	0.000
rs200639 lBF = `-0.08549` Chr`20` : `51,906,277`	0.000	0.993	0.007
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.007	0.993	0.000
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.007	0.993	0.000
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.006	0.994	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.006	0.994	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.006	0.994	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.005	0.995	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.005	0.995	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.005	0.995	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.004	0.996	0.000
rs17396317 lBF = `5.25351` Chr`20` : `31,790,377`	0.004	0.996	0.000
rs586446 lBF = `0.660488` Chr`20` : `4,387,134`	0.000	0.996	0.004
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.003	0.997	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.003	0.997	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.997	0.000
rs12480819 lBF = `-0.0786368` Chr`20` : `17,592,300`	0.000	0.997	0.003
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.001	0.997	0.003
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.003	0.997	0.000
rs3903703 lBF = `0.0123464` Chr`20` : `12,945,963`	0.000	0.997	0.003
rs7267979 lBF = `-0.0816562` Chr`20` : `25,298,087`	0.000	0.997	0.003
rs6052699 lBF = `-0.0601829` Chr`20` : `4,611,877`	0.000	0.997	0.003
rs1056198 lBF = `-0.10939` Chr`20` : `48,556,229`	0.000	0.997	0.003
rs2145270 lBF = `0.144181` Chr`20` : `6,621,685`	0.000	0.997	0.003
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.002	0.997	0.001
rs4811971 lBF = `0.986235` Chr`20` : `56,796,784`	0.003	0.997	0.000
rs495337 lBF = `-0.111289` Chr`20` : `48,522,330`	0.000	0.997	0.003
rs2235617 lBF = `-0.109036` Chr`20` : `48,554,977`	0.000	0.997	0.003
rs6056869 lBF = `0.0352194` Chr`20` : `9,762,448`	0.003	0.997	0.000
rs2424635 lBF = `0.0666228` Chr`20` : `24,717,085`	0.000	0.997	0.003
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.003	0.997	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.002	0.997	0.000
rs860148 lBF = `-0.0721227` Chr`20` : `59,765,295`	0.002	0.998	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.001	0.998	0.001
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.002	0.998	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.002	0.998	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.000	0.998	0.002
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.002	0.998	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.000	0.998	0.002
rs59972978 lBF = `0.0623434` Chr`20` : `56,058,355`	0.002	0.998	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.002	0.998	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.001	0.998	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.002	0.998	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.002	0.998	0.000
rs7352944 lBF = `-0.041945` Chr`20` : `48,632,610`	0.000	0.998	0.002
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.002	0.998	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.002	0.998	0.000
rs55864139 lBF = `0.0388845` Chr`20` : `40,049,579`	0.001	0.998	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.000	0.998	0.001
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.001	0.998	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.001	0.999	0.000
rs4814176 lBF = `0.139184` Chr`20` : `12,959,398`	0.000	0.999	0.001
rs4925325 lBF = `-0.0265228` Chr`20` : `60,514,224`	0.000	0.999	0.001
rs1533087 lBF = `-0.0473504` Chr`20` : `594,780`	0.001	0.999	0.000
rs6011674 lBF = `-0.0667445` Chr`20` : `61,854,452`	0.000	0.999	0.001
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs4811196 lBF = `-0.0461361` Chr`20` : `36,469,694`	0.000	0.999	0.001
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.001	0.999	0.000
rs6088580 lBF = `0.89953` Chr`20` : `33,285,053`	0.000	0.999	0.001
rs6013012 lBF = `6.74262` Chr`20` : `49,391,906`	0.001	0.999	0.000
rs364585 lBF = `0.133376` Chr`20` : `12,962,718`	0.000	0.999	0.001
rs230014 lBF = `-0.0188421` Chr`20` : `49,739,860`	0.001	0.999	0.000
rs2738774 lBF = `1.08855` Chr`20` : `62,269,338`	0.001	0.999	0.000
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.000	0.999	0.001
rs680379 lBF = `0.152008` Chr`20` : `12,969,400`	0.000	0.999	0.001
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
rs2145272 lBF = `0.452284` Chr`20` : `6,626,218`	0.000	0.999	0.001
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	0.001	0.999	0.000
rs2248359 lBF = `-0.0895987` Chr`20` : `52,791,518`	0.001	0.999	0.000
rs6140050 lBF = `0.539805` Chr`20` : `6,632,901`	0.000	0.999	0.001
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
rs147619472 lBF = `0` Chr`20` : `60,890,809`	0.001	0.999	0.001
rs74275091 lBF = `0` Chr`20` : `45,518,433`	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
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
rs11907106 lBF = `-0.00001184` Chr`20` : `12,082,642`	0.001	0.999	0.000
rs979012 lBF = `0.528327` Chr`20` : `6,623,374`	0.000	0.999	0.001
rs6046346 lBF = `-0.00001321` Chr`20` : `19,802,188`	0.001	0.999	0.000
rs191335472 lBF = `-0.00002611` Chr`20` : `2,042,352`	0.000	0.999	0.001
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rs6133127 lBF = `-0.0518496` Chr`20` : `4,469,883`	0.000	1.000	0.000
rs11698685 lBF = `-0.0633394` Chr`20` : `58,895,846`	0.000	1.000	0.000
rs6056891 lBF = `-0.0960935` Chr`20` : `9,778,729`	0.000	1.000	0.000
rs6075524 lBF = `19.2434` Chr`20` : `19,509,918`	0.000	1.000	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.000	1.000	0.000
rs7274581 lBF = `0.081653` Chr`20` : `55,018,260`	0.000	1.000	0.000
rs12625057 lBF = `0.012655` Chr`20` : `57,790,436`	0.000	1.000	0.000
rs6026990 lBF = `0.00185688` Chr`20` : `58,177,615`	0.000	1.000	0.000
rs2073145 lBF = `-0.00195342` Chr`20` : `56,190,634`	0.000	1.000	0.000
rs7360412 lBF = `-0.00343882` Chr`20` : `2,800,801`	0.000	1.000	0.000
rs6085820 lBF = `-0.00665632` Chr`20` : `6,980,635`	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
rs4815879 lBF = `-0.0208377` Chr`20` : `5,949,534`	0.000	1.000	0.000
rs6079395 lBF = `-0.0571471` Chr`20` : `14,327,899`	0.000	1.000	0.000
rs1799990 lBF = `-0.128379` Chr`20` : `4,680,251`	0.000	1.000	0.000
rs2425224 lBF = `13.1546` Chr`20` : `35,002,849`	0.000	1.000	0.000
rs4911414 lBF = `10.0514` Chr`20` : `32,729,444`	0.000	1.000	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.000	1.000	0.000
rs4243971 lBF = `0.641671` Chr`20` : `30,849,517`	0.000	1.000	0.000
rs11700100 lBF = `0.0793417` Chr`20` : `56,080,049`	0.000	1.000	0.000
rs6137473 lBF = `0.0723357` Chr`20` : `21,884,693`	0.000	1.000	0.000
rs204664 lBF = `0.0344481` Chr`20` : `532,805`	0.000	1.000	0.000
rs62204504 lBF = `0.0196843` Chr`20` : `42,795,048`	0.000	1.000	0.000
rs6017291 lBF = `0.00463084` Chr`20` : `42,854,134`	0.000	1.000	0.000
rs6048205 lBF = `-0.0034043` Chr`20` : `22,559,601`	0.000	1.000	0.000
rs4810485 lBF = `-0.0176317` Chr`20` : `44,747,947`	0.000	1.000	0.000
rs34972666 lBF = `-0.0212135` Chr`20` : `2,384,972`	0.000	1.000	0.000
rs11699237 lBF = `-0.0217365` Chr`20` : `55,683,996`	0.000	1.000	0.000
rs6026584 lBF = `-0.0362936` Chr`20` : `57,469,073`	0.000	1.000	0.000
rs2870137 lBF = `-0.0371776` Chr`20` : `38,685,541`	0.000	1.000	0.000
rs4812973 lBF = `-0.0379201` Chr`20` : `44,507,536`	0.000	1.000	0.000
rs4812048 lBF = `-0.0447792` Chr`20` : `57,587,771`	0.000	1.000	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.000	1.000	0.000
rs7266699 lBF = `-0.0796117` Chr`20` : `58,253,438`	0.000	1.000	0.000
rs8118008 lBF = `-0.0812984` Chr`20` : `3,168,166`	0.000	1.000	0.000
rs224329 lBF = `36.2774` Chr`20` : `34,019,579`	0.000	1.000	0.000
rs224333 lBF = `33.3177` Chr`20` : `34,023,962`	0.000	1.000	0.000
rs61341205 lBF = `18.6455` Chr`20` : `33,072,578`	0.000	1.000	0.000
rs214815 lBF = `16.1287` Chr`20` : `2,298,616`	0.000	1.000	0.000
rs1555322 lBF = `0.553694` Chr`20` : `33,849,179`	0.000	1.000	0.000
rs6051520 lBF = `0.402702` Chr`20` : `351,944`	0.000	1.000	0.000
rs62202398 lBF = `0.362478` Chr`20` : `46,801,224`	0.000	1.000	0.000
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.000	1.000	0.000
rs7267722 lBF = `0.10931` Chr`20` : `22,787,622`	0.000	1.000	0.000
rs2747539 lBF = `0.0322663` Chr`20` : `32,418,368`	0.000	1.000	0.000
rs2207418 lBF = `0.0274439` Chr`20` : `11,174,903`	0.000	1.000	0.000
rs6137287 lBF = `0.0261537` Chr`20` : `21,180,259`	0.000	1.000	0.000
rs6055685 lBF = `0.0226222` Chr`20` : `8,213,786`	0.000	1.000	0.000
rs220519 lBF = `0.0174788` Chr`20` : `37,279,255`	0.000	1.000	0.000
rs6017317 lBF = `-0.00063152` Chr`20` : `42,946,966`	0.000	1.000	0.000
rs113179280 lBF = `-0.00479606` Chr`20` : `11,577,305`	0.000	1.000	0.000
rs1413020 lBF = `-0.0145749` Chr`20` : `12,730,042`	0.000	1.000	0.000
rs2057291 lBF = `-0.038961` Chr`20` : `57,472,043`	0.000	1.000	0.000
rs16985452 lBF = `-0.0401319` Chr`20` : `60,265,853`	0.000	1.000	0.000
rs4491792 lBF = `-0.0476587` Chr`20` : `16,740,825`	0.000	1.000	0.000
rs59329875 lBF = `-0.050512` Chr`20` : `44,547,672`	0.000	1.000	0.000
rs6016348 lBF = `-0.0665469` Chr`20` : `39,038,828`	0.000	1.000	0.000
rs6011368 lBF = `-0.0861572` Chr`20` : `62,886,504`	0.000	1.000	0.000
rs2021786 lBF = `-0.0924612` Chr`20` : `17,421,978`	0.000	1.000	0.000
rs6065777 lBF = `-0.104166` Chr`20` : `43,669,641`	0.000	1.000	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	1.000	0.000
rs16982520 lBF = `11.4522` Chr`20` : `57,758,720`	0.000	1.000	0.000
rs6017235 lBF = `0.915693` Chr`20` : `42,620,592`	0.000	1.000	0.000
rs6135309 lBF = `0.292984` Chr`20` : `14,902,522`	0.000	1.000	0.000
rs742731 lBF = `0.140178` Chr`20` : `18,885,738`	0.000	1.000	0.000
rs6579245 lBF = `0.0252453` Chr`20` : `34,125,271`	0.000	1.000	0.000
rs6056209 lBF = `0.00415977` Chr`20` : `8,836,771`	0.000	1.000	0.000
rs55797066 lBF = `-0.00886684` Chr`20` : `50,209,920`	0.000	1.000	0.000
rs6074022 lBF = `-0.0202025` Chr`20` : `44,740,196`	0.000	1.000	0.000
rs6028945 lBF = `-0.0776588` Chr`20` : `38,820,805`	0.000	1.000	0.000
rs13045180 lBF = `-0.0807356` Chr`20` : `31,531,544`	0.000	1.000	0.000
rs6136813 lBF = `-0.0822954` Chr`20` : `19,674,218`	0.000	1.000	0.000
rs4812712 lBF = `-0.08616` Chr`20` : `42,104,939`	0.000	1.000	0.000
rs3787159 lBF = `-0.09745` Chr`20` : `56,819,167`	0.000	1.000	0.000
rs143384 lBF = `39.0273` Chr`20` : `34,025,756`	0.000	1.000	0.000
rs78110303 lBF = `35.1732` Chr`20` : `34,025,983`	0.000	1.000	0.000
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.000	1.000	0.000
rs11907546 lBF = `9.88038` Chr`20` : `32,719,797`	0.000	1.000	0.000
rs76894896 lBF = `5.28084` Chr`20` : `34,865,772`	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
rs2277862 lBF = `0.209698` Chr`20` : `34,152,782`	0.000	1.000	0.000
rs6142618 lBF = `0.180564` Chr`20` : `30,725,648`	0.000	1.000	0.000
rs1884302 lBF = `0.171877` Chr`20` : `7,106,289`	0.000	1.000	0.000
rs13037755 lBF = `0.0702108` Chr`20` : `53,411,019`	0.000	1.000	0.000
rs151361 lBF = `0.041818` Chr`20` : `57,614,002`	0.000	1.000	0.000
rs159788 lBF = `0.0175034` Chr`20` : `4,352,104`	0.000	1.000	0.000
rs8124695 lBF = `-0.00344771` Chr`20` : `39,028,436`	0.000	1.000	0.000
rs6108038 lBF = `-0.0172308` Chr`20` : `819,662`	0.000	1.000	0.000
rs4815617 lBF = `-0.0351888` Chr`20` : `3,827,309`	0.000	1.000	0.000
rs13038095 lBF = `-0.0471696` Chr`20` : `46,425,576`	0.000	1.000	0.000
rs12480534 lBF = `-0.0741929` Chr`20` : `44,761,485`	0.000	1.000	0.000
rs4141463 lBF = `-0.101518` Chr`20` : `14,747,471`	0.000	1.000	0.000
rs6059969 lBF = `27.4928` Chr`20` : `33,245,284`	0.000	1.000	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.000	1.000	0.000
rs6047867 lBF = `16.1815` Chr`20` : `2,259,925`	0.000	1.000	0.000
rs6015450 lBF = `12.9686` Chr`20` : `57,751,117`	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 X0031

log Bayes Factor = 111.103

contains 3 variants

0.9322

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6280

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5364

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9999

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9999

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9998

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9998

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9994

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9993

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9987

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9983

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9982

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9980

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9973

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9960

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9951

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9936

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9936

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9912

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9908

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9905

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9897

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9889

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9885

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9869

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9866

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9863

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9849

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9828

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9825

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9823

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9769

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9759

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9745

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9697

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9697

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9691

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9631

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9629

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9628

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9525

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9524

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9479

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9459

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9422

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9412

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9371

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9360

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9287

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9235

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9153

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9061

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9020

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8998

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8968

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8939

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8765

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8758

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8736

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8612

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8538

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8536

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8507

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8407

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8377

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8113

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7964

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7923

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7914

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7893

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7732

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7729

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7630

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7622

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7482

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7438

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7338

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7298

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6776

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6675

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6515

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6270

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6164

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6079

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5860

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5769

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5712

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5660

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5652

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5652

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5581

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5507

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5055

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4892

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4838

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4642

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4563

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4540

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4468

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4457

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4362

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4097

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3661

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3420

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3147

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3075

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3005

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2936

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2808

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2661

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2590

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2199

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1908

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1776

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1745

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1638

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1568

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1429

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1389

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1214

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0992

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0949

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0684

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0664

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0645

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0591

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`)