TreeWAS – [Z97] Presence of other devices

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
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.897	0.103	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.891	0.109	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.852	0.148	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.833	0.167	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.816	0.184	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.808	0.192	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.805	0.195	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.756	0.244	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.744	0.256	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.257	0.743
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.739	0.261	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.734	0.265	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.278	0.722
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.714	0.286	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.713	0.287	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.711	0.289	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.707	0.293	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.700	0.300	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.696	0.304	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.686	0.314	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.684	0.316	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.671	0.329	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.670	0.330	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.661	0.339	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.649	0.351	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.640	0.360	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.626	0.374	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.592	0.408	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.577	0.423	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.569	0.431	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.563	0.437	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.560	0.440	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.463	0.537	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.452	0.548	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.422	0.578	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.392	0.608	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.390	0.610	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.387	0.613	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.384	0.616	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.352	0.648	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.324	0.676	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.318	0.682	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.312	0.688	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.310	0.690	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.284	0.716	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.832	0.168
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.140	0.859	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.132	0.868	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.104	0.896	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.085	0.915	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.075	0.925	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.069	0.931	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.066	0.933	0.001
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.043	0.957	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.039	0.960	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.036	0.963	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.965	0.035
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.034	0.966	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.031	0.969	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.027	0.972	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.021	0.978	0.000
rs13036722 lBF = `0.0786236` Chr`20` : `168,020`	0.000	0.984	0.016
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.014	0.986	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.012	0.988	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.012	0.988	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.011	0.989	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.010	0.990	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.009	0.990	0.001
rs6072869 lBF = `5.17642` Chr`20` : `41,399,171`	0.000	0.991	0.009
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.009	0.991	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.008	0.991	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.008	0.992	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.008	0.992	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.007	0.993	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.007	0.993	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.007	0.993	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.006	0.994	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.006	0.994	0.000
rs3890324 lBF = `-0.00538085` Chr`20` : `41,072,655`	0.006	0.994	0.000
rs2236521 lBF = `-0.013819` Chr`20` : `60,892,116`	0.000	0.994	0.006
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.005	0.995	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.005	0.995	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.005	0.995	0.000
rs3790160 lBF = `-0.0005509` Chr`20` : `10,639,988`	0.000	0.995	0.005
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.005	0.995	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.004	0.996	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.003	0.996	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.003	0.996	0.000
rs860148 lBF = `-0.0721227` Chr`20` : `59,765,295`	0.000	0.997	0.003
rs6041428 lBF = `0.015758` Chr`20` : `12,506,345`	0.000	0.997	0.003
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.003	0.997	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.003	0.997	0.000
rs11699160 lBF = `14.6736` Chr`20` : `60,958,651`	0.003	0.997	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.003	0.997	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.003	0.997	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.003	0.997	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.003	0.997	0.000
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.003	0.997	0.000
rs2273061 lBF = `-0.0226879` Chr`20` : `10,639,543`	0.000	0.997	0.003
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.002	0.998	0.000
rs6028335 lBF = `0.0749718` Chr`20` : `37,845,477`	0.002	0.998	0.000
rs6070116 lBF = `0.366143` Chr`20` : `56,044,184`	0.002	0.998	0.000
rs2070755 lBF = `0.26907` Chr`20` : `56,138,040`	0.000	0.998	0.002
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.002	0.998	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.002	0.998	0.000
rs6016142 lBF = `0.0310057` Chr`20` : `38,300,807`	0.002	0.998	0.000
rs57627107 lBF = `14.2227` Chr`20` : `60,898,244`	0.002	0.998	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.001	0.998	0.000
rs6107516 lBF = `-0.0279149` Chr`20` : `4,677,092`	0.000	0.998	0.002
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.998	0.000
rs1008953 lBF = `-0.0553544` Chr`20` : `43,980,726`	0.000	0.999	0.001
rs75691080 lBF = `0.0598647` Chr`20` : `62,269,750`	0.001	0.999	0.000
rs4925386 lBF = `15.667` Chr`20` : `60,921,044`	0.001	0.999	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.001	0.999	0.000
rs4814176 lBF = `0.139184` Chr`20` : `12,959,398`	0.001	0.999	0.000
rs2427345 lBF = `0.0858361` Chr`20` : `61,015,611`	0.000	0.999	0.001
rs12480807 lBF = `-0.072081` Chr`20` : `43,064,654`	0.000	0.999	0.001
rs364585 lBF = `0.133376` Chr`20` : `12,962,718`	0.001	0.999	0.000
rs2585417 lBF = `-0.105953` Chr`20` : `52,843,799`	0.001	0.999	0.000
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.001	0.999	0.000
rs3903703 lBF = `0.0123464` Chr`20` : `12,945,963`	0.001	0.999	0.000
rs4813003 lBF = `1.02644` Chr`20` : `44,763,284`	0.000	0.999	0.001
rs2041278 lBF = `-0.10269` Chr`20` : `52,268,995`	0.000	0.999	0.001
rs73584251 lBF = `0.00004246` Chr`20` : `1,401,491`	0.001	0.999	0.000
rs6100794 lBF = `0.00001125` Chr`20` : `58,799,036`	0.001	0.999	0.000
rs279720 lBF = `0` Chr`20` : `45,124,222`	0.001	0.999	0.001
rs115205687 lBF = `0` Chr`20` : `8,895,776`	0.001	0.999	0.001
rs74275091 lBF = `0` Chr`20` : `45,518,433`	0.001	0.999	0.001
rs147619472 lBF = `0` Chr`20` : `60,890,809`	0.001	0.999	0.001
rs186485497 lBF = `0` Chr`20` : `57,457,342`	0.001	0.999	0.001
rs190821608 lBF = `0` Chr`20` : `16,280,310`	0.001	0.999	0.001
rs187535555 lBF = `0` Chr`20` : `3,821,163`	0.001	0.999	0.001
rs11907106 lBF = `-0.00001184` Chr`20` : `12,082,642`	0.001	0.999	0.000
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
rs1739654 lBF = `-0.0258588` Chr`20` : `36,977,970`	0.001	0.999	0.000
rs17190927 lBF = `0.65024` Chr`20` : `13,123,733`	0.000	0.999	0.001
rs2224610 lBF = `-0.00027109` Chr`20` : `9,631,387`	0.001	0.999	0.000
rs6035684 lBF = `-0.0535479` Chr`20` : `20,735,577`	0.001	0.999	0.000
rs6110969 lBF = `0.0647183` Chr`20` : `16,197,510`	0.001	0.999	0.000
rs147775533 lBF = `-0.00020918` Chr`20` : `48,999,495`	0.001	0.999	0.000
rs187497509 lBF = `0.0037498` Chr`20` : `42,979,571`	0.000	0.999	0.001
rs680379 lBF = `0.152008` Chr`20` : `12,969,400`	0.001	0.999	0.000
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.001	0.999	0.000
rs7360412 lBF = `-0.00343882` Chr`20` : `2,800,801`	0.001	0.999	0.000
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	0.001	0.999	0.000
rs2870137 lBF = `-0.0371776` Chr`20` : `38,685,541`	0.000	0.999	0.001
rs6012564 lBF = `-0.0731638` Chr`20` : `47,541,600`	0.000	0.999	0.001
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.001	0.999	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.001	0.999	0.000
rs10485681 lBF = `-0.0409523` Chr`20` : `40,493,072`	0.000	0.999	0.001
rs2281558 lBF = `-0.0584925` Chr`20` : `25,240,189`	0.001	0.999	0.000
rs2745761 lBF = `-0.00055091` Chr`20` : `8,277,943`	0.001	0.999	0.000
rs6063312 lBF = `0.654202` Chr`20` : `47,343,059`	0.000	0.999	0.001
rs4812219 lBF = `-0.029306` Chr`20` : `59,422,971`	0.001	0.999	0.000
rs1044573 lBF = `-0.109052` Chr`20` : `25,206,654`	0.001	0.999	0.000
rs17216707 lBF = `7.10637` Chr`20` : `52,732,362`	0.001	0.999	0.000
rs7352944 lBF = `-0.041945` Chr`20` : `48,632,610`	0.000	0.999	0.001
rs6134031 lBF = `-0.0774618` Chr`20` : `10,752,610`	0.000	0.999	0.001
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.001	0.999	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.001	0.999	0.000
rs6081541 lBF = `-0.0206467` Chr`20` : `19,212,890`	0.000	0.999	0.001
rs2073302 lBF = `-0.0633029` Chr`20` : `13,052,671`	0.000	0.999	0.001
rs4239702 lBF = `0.00330044` Chr`20` : `44,749,251`	0.001	0.999	0.000
rs4812048 lBF = `-0.0447792` Chr`20` : `57,587,771`	0.000	0.999	0.001
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.001	0.999	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.001	0.999	0.000
rs6143035 lBF = `22.0883` Chr`20` : `60,920,700`	0.001	0.999	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.001	0.999	0.000
rs6074022 lBF = `-0.0202025` Chr`20` : `44,740,196`	0.001	0.999	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.000	0.999	0.000
rs7267979 lBF = `-0.0816562` Chr`20` : `25,298,087`	0.000	0.999	0.001
rs214782 lBF = `35.5963` Chr`20` : `2,281,970`	0.001	0.999	0.000
rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.000	0.999	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.000	0.999	0.000
rs6025590 lBF = `0.258413` Chr`20` : `56,070,505`	0.001	0.999	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.000	0.999	0.000
rs6044112 lBF = `-0.0790804` Chr`20` : `16,536,414`	0.000	0.999	0.000
rs214785 lBF = `36.4332` Chr`20` : `2,283,457`	0.000	1.000	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.000	1.000	0.000
rs1569723 lBF = `-0.0161558` Chr`20` : `44,742,064`	0.000	1.000	0.000
rs6046393 lBF = `-0.0190458` Chr`20` : `19,852,250`	0.000	1.000	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.000	1.000	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.000	1.000	0.000
rs6082442 lBF = `7.80489` Chr`20` : `2,205,138`	0.000	1.000	0.000
rs1535067 lBF = `14.7922` Chr`20` : `8,607,333`	0.000	1.000	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.000	1.000	0.000
rs11087123 lBF = `0.0066013` Chr`20` : `15,120,744`	0.000	1.000	0.000
rs11698080 lBF = `17.6983` Chr`20` : `60,899,182`	0.000	1.000	0.000
rs6069325 lBF = `-0.0153551` Chr`20` : `54,139,486`	0.000	1.000	0.000
rs454422 lBF = `-0.0414817` Chr`20` : `5,943,693`	0.000	1.000	0.000
rs4810479 lBF = `-0.0946705` Chr`20` : `44,545,048`	0.000	1.000	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.000	1.000	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.000	1.000	0.000
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	0.000	1.000	0.000
rs1883832 lBF = `-0.0168904` Chr`20` : `44,746,982`	0.000	1.000	0.000
rs4810485 lBF = `-0.0176317` Chr`20` : `44,747,947`	0.000	1.000	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.000	1.000	0.000
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rs6133127 lBF = `-0.0518496` Chr`20` : `4,469,883`	0.000	1.000	0.000
rs7679 lBF = `-0.0584116` Chr`20` : `44,576,502`	0.000	1.000	0.000
rs964293 lBF = `-0.0683461` Chr`20` : `52,816,717`	0.000	1.000	0.000
rs200639 lBF = `-0.08549` Chr`20` : `51,906,277`	0.000	1.000	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.000	1.000	0.000
rs84824 lBF = `16.3155` Chr`20` : `2,301,285`	0.000	1.000	0.000
rs1853092 lBF = `13.3769` Chr`20` : `2,304,376`	0.000	1.000	0.000
rs2425224 lBF = `13.1546` Chr`20` : `35,002,849`	0.000	1.000	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	1.000	0.000
rs6081690 lBF = `7.01003` Chr`20` : `19,614,751`	0.000	1.000	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.000	1.000	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.000	1.000	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.000	1.000	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.000	1.000	0.000
rs2425163 lBF = `2.5363` Chr`20` : `34,432,670`	0.000	1.000	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.000	1.000	0.000
rs2207173 lBF = `1.8704` Chr`20` : `22,805,061`	0.000	1.000	0.000
rs6088580 lBF = `0.89953` Chr`20` : `33,285,053`	0.000	1.000	0.000
rs6127471 lBF = `0.88988` Chr`20` : `36,844,038`	0.000	1.000	0.000
rs62202398 lBF = `0.362478` Chr`20` : `46,801,224`	0.000	1.000	0.000
rs328506 lBF = `0.183532` Chr`20` : `56,029,604`	0.000	1.000	0.000
rs16997087 lBF = `0.11076` Chr`20` : `16,054,982`	0.000	1.000	0.000
rs658495 lBF = `0.0934974` Chr`20` : `3,737,495`	0.000	1.000	0.000
rs12625057 lBF = `0.012655` Chr`20` : `57,790,436`	0.000	1.000	0.000
rs4814920 lBF = `-0.0166134` Chr`20` : `19,865,956`	0.000	1.000	0.000
rs11699237 lBF = `-0.0217365` Chr`20` : `55,683,996`	0.000	1.000	0.000
rs6127921 lBF = `-0.0319224` Chr`20` : `55,638,750`	0.000	1.000	0.000
rs6102185 lBF = `-0.0434923` Chr`20` : `39,478,533`	0.000	1.000	0.000
rs6079395 lBF = `-0.0571471` Chr`20` : `14,327,899`	0.000	1.000	0.000
rs4465830 lBF = `-0.0581894` Chr`20` : `44,585,420`	0.000	1.000	0.000
rs6073972 lBF = `-0.0601376` Chr`20` : `44,590,298`	0.000	1.000	0.000
rs6072091 lBF = `-0.0686652` Chr`20` : `39,292,074`	0.000	1.000	0.000
rs11696501 lBF = `-0.0889354` Chr`20` : `44,124,523`	0.000	1.000	0.000
rs6070346 lBF = `-0.111049` Chr`20` : `56,663,274`	0.000	1.000	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.000	1.000	0.000
rs6087685 lBF = `12.9938` Chr`20` : `33,777,612`	0.000	1.000	0.000
rs975525 lBF = `5.99113` Chr`20` : `22,640,412`	0.000	1.000	0.000
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	0.000	1.000	0.000
rs78404372 lBF = `3.11633` Chr`20` : `55,855,793`	0.000	1.000	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.000	1.000	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.000	1.000	0.000
rs742731 lBF = `0.140178` Chr`20` : `18,885,738`	0.000	1.000	0.000
rs13037755 lBF = `0.0702108` Chr`20` : `53,411,019`	0.000	1.000	0.000
rs7267421 lBF = `0.0625389` Chr`20` : `15,227,636`	0.000	1.000	0.000
rs932425 lBF = `0.0380209` Chr`20` : `37,873,610`	0.000	1.000	0.000
rs1010304 lBF = `0.0254383` Chr`20` : `40,101,647`	0.000	1.000	0.000
rs6055685 lBF = `0.0226222` Chr`20` : `8,213,786`	0.000	1.000	0.000
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.000	1.000	0.000
rs17721822 lBF = `0.0115807` Chr`20` : `6,469,596`	0.000	1.000	0.000
rs55970365 lBF = `0.0105177` Chr`20` : `38,725,186`	0.000	1.000	0.000
rs6017291 lBF = `0.00463084` Chr`20` : `42,854,134`	0.000	1.000	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.000	1.000	0.000
rs2073145 lBF = `-0.00195342` Chr`20` : `56,190,634`	0.000	1.000	0.000
rs8124695 lBF = `-0.00344771` Chr`20` : `39,028,436`	0.000	1.000	0.000
rs230014 lBF = `-0.0188421` Chr`20` : `49,739,860`	0.000	1.000	0.000
rs6050267 lBF = `-0.0211359` Chr`20` : `25,019,099`	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
rs13038095 lBF = `-0.0471696` Chr`20` : `46,425,576`	0.000	1.000	0.000
rs17723576 lBF = `-0.0475048` Chr`20` : `48,283,633`	0.000	1.000	0.000
rs6051080 lBF = `-0.0480208` Chr`20` : `25,975,674`	0.000	1.000	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.000	1.000	0.000
rs1028444 lBF = `-0.0547138` Chr`20` : `22,267,058`	0.000	1.000	0.000
rs7266699 lBF = `-0.0796117` Chr`20` : `58,253,438`	0.000	1.000	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.000	1.000	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.000	1.000	0.000
rs6075524 lBF = `19.2434` Chr`20` : `19,509,918`	0.000	1.000	0.000
rs1012621 lBF = `9.74089` Chr`20` : `2,306,312`	0.000	1.000	0.000
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.000	1.000	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.000	1.000	0.000
rs2236164 lBF = `7.01229` Chr`20` : `34,097,353`	0.000	1.000	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.000	1.000	0.000
rs909341 lBF = `0.73248` Chr`20` : `62,328,742`	0.000	1.000	0.000
rs3746446 lBF = `0.625774` Chr`20` : `33,574,765`	0.000	1.000	0.000
rs2276498 lBF = `0.495772` Chr`20` : `52,610,496`	0.000	1.000	0.000
rs970084 lBF = `0.222611` Chr`20` : `1,221,171`	0.000	1.000	0.000
rs6080550 lBF = `0.148133` Chr`20` : `1,759,590`	0.000	1.000	0.000
rs6122972 lBF = `0.113804` Chr`20` : `49,375,242`	0.000	1.000	0.000
rs6066084 lBF = `0.0958774` Chr`20` : `45,460,323`	0.000	1.000	0.000
rs6060960 lBF = `0.0766605` Chr`20` : `30,394,517`	0.000	1.000	0.000
rs13041126 lBF = `0.0558355` Chr`20` : `51,092,996`	0.000	1.000	0.000
rs7270101 lBF = `0.0537043` Chr`20` : `3,193,893`	0.000	1.000	0.000
rs6091540 lBF = `0.050287` Chr`20` : `51,087,862`	0.000	1.000	0.000
rs199307 lBF = `0.046558` Chr`20` : `15,177,580`	0.000	1.000	0.000
rs237450 lBF = `0.0453334` Chr`20` : `47,982,128`	0.000	1.000	0.000
rs6137287 lBF = `0.0261537` Chr`20` : `21,180,259`	0.000	1.000	0.000
rs6579245 lBF = `0.0252453` Chr`20` : `34,125,271`	0.000	1.000	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.000	1.000	0.000
rs1127354 lBF = `0.0132189` Chr`20` : `3,193,842`	0.000	1.000	0.000
rs4812466 lBF = `0.0103205` Chr`20` : `39,439,483`	0.000	1.000	0.000
rs10470013 lBF = `0.0023234` Chr`20` : `49,609,677`	0.000	1.000	0.000
rs6139030 lBF = `-0.0024395` Chr`20` : `3,187,733`	0.000	1.000	0.000
rs1158167 lBF = `-0.00362974` Chr`20` : `23,578,189`	0.000	1.000	0.000
rs11697186 lBF = `-0.00429208` Chr`20` : `3,185,123`	0.000	1.000	0.000
rs2425752 lBF = `-0.00642696` Chr`20` : `44,702,120`	0.000	1.000	0.000
rs8115854 lBF = `-0.021483` Chr`20` : `35,766,337`	0.000	1.000	0.000
rs4925325 lBF = `-0.0265228` Chr`20` : `60,514,224`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6358

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6243

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1511

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9999

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9994

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9986

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9985

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9979

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9977

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9973

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9962

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9958

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9956

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9954

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9951

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9926

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9925

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9921

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9902

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9885

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9855

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9839

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9836

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9836

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9816

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9810

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9802

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9794

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9773

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9770

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9748

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9745

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9737

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9733

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9579

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9545

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9508

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9479

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9455

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9450

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9429

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9406

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9406

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9357

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9328

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9323

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9295

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9246

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9182

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9141

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9094

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9029

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9009

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8934

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8930

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8911

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8814

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8813

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8798

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8785

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8771

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8732

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8673

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8590

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8557

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8484

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8439

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8408

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8373

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8267

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8252

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8191

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8130

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8069

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8023

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7944

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7939

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7882

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7875

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7832

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7786

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7785

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7672

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7659

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7556

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7529

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7380

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7158

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7087

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7028

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6991

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6967

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6928

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6881

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6767

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6766

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6507

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6386

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6347

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6134

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6045

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5955

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5872

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5859

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5822

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5796

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5761

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5726

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5694

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5477

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5473

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5318

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5189

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5111

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5048

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4925

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4800

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4041

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3984

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3880

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3781

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3760

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3627

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3588

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3374

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3222

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3122

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3095

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2931

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2897

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2686

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2384

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1975

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1355

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0988

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0961

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0956

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0914

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0795

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0706

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0676

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0620

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0593

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0559

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0524

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.

Parent term	Z80-Z99 Persons with potential health hazards related to family and personal history and certain conditions influencing health status
Nested terms	Z97.0 Presence of artificial eye Z97.1 Presence of artificial limb (complete)(partial) Z97.2 Presence of dental prosthetic device (complete)(partial) Z97.3 Presence of spectacles and contact lenses Z97.4 Presence of external hearing-aid Z97.5 Presence of (intra-uterine) contraceptive device Z97.8 Presence of other specified devices

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`)