TreeWAS – [Z85.9] Personal history of malignant neoplasm, unspecified

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
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.756	0.244	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.746	0.254	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.740	0.260	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.720	0.280	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.697	0.302	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.694	0.306	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.692	0.308	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.674	0.326	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.673	0.327	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.671	0.329	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.663	0.337	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.660	0.340	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.652	0.348	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.625	0.375	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.607	0.393	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.601	0.399	0.000
rs118009632 lBF = `0.732821` Chr`12` : `54,959,672`	0.000	0.426	0.574
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.539	0.461	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.526	0.474	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.520	0.480	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.514	0.486	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.483	0.517	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.472	0.528	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.470	0.530	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.440	0.560	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.434	0.566	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.429	0.571	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.427	0.573	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.404	0.595	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.390	0.610	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.384	0.616	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.342	0.658	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.288	0.711	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.278	0.722	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.274	0.726	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.256	0.744	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.254	0.746	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.243	0.757	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.221	0.779	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.219	0.781	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.216	0.784	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.212	0.788	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.207	0.792	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.203	0.797	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.189	0.811	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.185	0.815	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.176	0.824	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.173	0.827	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.166	0.834	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.156	0.844	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.144	0.855	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.139	0.861	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.131	0.869	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.123	0.877	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.111	0.889	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.107	0.893	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.106	0.894	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.096	0.904	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.092	0.907	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.090	0.910	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.073	0.927	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.073	0.927	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.070	0.930	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.067	0.933	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.058	0.942	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.057	0.943	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.047	0.953	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.046	0.954	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.041	0.959	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.038	0.962	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.036	0.964	0.000
rs11170164 lBF = `18.5212` Chr`12` : `52,913,668`	0.035	0.964	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.034	0.966	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.034	0.966	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.031	0.969	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.031	0.969	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.028	0.972	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.024	0.976	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.024	0.976	0.000
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.021	0.978	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.020	0.980	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.018	0.982	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.017	0.983	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.016	0.984	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.015	0.985	0.000
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.014	0.985	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.014	0.986	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.014	0.986	0.000
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.012	0.988	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.011	0.988	0.000
rs118152513 lBF = `0.00652999` Chr`12` : `101,184,252`	0.000	0.989	0.011
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.010	0.990	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.991	0.009
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.008	0.992	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.008	0.992	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.008	0.992	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.007	0.993	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.007	0.993	0.000
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.007	0.993	0.000
rs117154046 lBF = `0.0198739` Chr`12` : `29,542,777`	0.007	0.993	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.006	0.994	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.006	0.994	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.006	0.994	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.995	0.005
rs55922880 lBF = `0.00435799` Chr`12` : `115,617,641`	0.005	0.995	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.005	0.995	0.000
rs7137521 lBF = `0.00252492` Chr`12` : `126,734,269`	0.004	0.995	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.004	0.995	0.000
rs183032784 lBF = `0.00474184` Chr`12` : `118,257,214`	0.004	0.995	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.004	0.996	0.000
rs17126180 lBF = `0.00493889` Chr`12` : `52,263,956`	0.000	0.996	0.004
rs182328274 lBF = `0.0032004` Chr`12` : `107,667,802`	0.004	0.996	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.004	0.996	0.001
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.004	0.996	0.000
rs941184 lBF = `0.00357459` Chr`12` : `54,114,158`	0.003	0.996	0.000
rs11047526 lBF = `-0.0580724` Chr`12` : `24,759,806`	0.000	0.996	0.004
rs3951439 lBF = `0.0044521` Chr`12` : `51,727,596`	0.000	0.996	0.003
rs1040026 lBF = `0.00233431` Chr`12` : `71,210,678`	0.003	0.997	0.000
rs183160876 lBF = `0.00279977` Chr`12` : `82,463,439`	0.003	0.997	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.003	0.997	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.003	0.997	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.003	0.997	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.003	0.997	0.000
rs1520223 lBF = `0.00239145` Chr`12` : `102,726,338`	0.002	0.997	0.000
rs34637584 lBF = `0.00195999` Chr`12` : `40,734,202`	0.002	0.997	0.000
rs886126 lBF = `0.846272` Chr`12` : `111,679,214`	0.003	0.997	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.002	0.998	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.002	0.998	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.002	0.998	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.002	0.998	0.000
rs117626015 lBF = `0.00164872` Chr`12` : `41,624,795`	0.002	0.998	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.002	0.998	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.002	0.998	0.000
rs4149018 lBF = `0.00161931` Chr`12` : `21,291,561`	0.002	0.998	0.000
rs7955516 lBF = `-0.146992` Chr`12` : `20,498,036`	0.000	0.998	0.002
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.002	0.998	0.000
rs894734 lBF = `0.00652107` Chr`12` : `54,319,727`	0.002	0.998	0.000
rs188024766 lBF = `0.00093228` Chr`12` : `101,353,534`	0.001	0.998	0.000
rs276000 lBF = `0.00046952` Chr`12` : `59,849,677`	0.001	0.998	0.000
rs184699315 lBF = `0.00049337` Chr`12` : `71,650,779`	0.001	0.998	0.000
rs12832485 lBF = `-0.0753605` Chr`12` : `24,786,136`	0.000	0.998	0.002
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.001	0.998	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.001	0.999	0.000
rs1147246 lBF = `-0.0606173` Chr`12` : `125,875,466`	0.001	0.999	0.000
rs192256367 lBF = `0.00111823` Chr`12` : `107,648,405`	0.001	0.999	0.000
rs7974425 lBF = `0.00058097` Chr`12` : `60,735,173`	0.001	0.999	0.000
rs181947843 lBF = `0.00335065` Chr`12` : `108,547,387`	0.000	0.999	0.001
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.001	0.999	0.001
rs147538848 lBF = `0.0001142` Chr`12` : `31,466,613`	0.001	0.999	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.001	0.999	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.001	0.999	0.000
rs11835818 lBF = `0.00257869` Chr`12` : `122,494,809`	0.001	0.999	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.001	0.999	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.001	0.999	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.001	0.999	0.000
rs11048674 lBF = `0.0003458` Chr`12` : `26,912,719`	0.001	0.999	0.000
rs11175997 lBF = `12.485` Chr`12` : `66,401,444`	0.000	0.999	0.001
rs10771431 lBF = `-0.115115` Chr`12` : `9,380,859`	0.000	0.999	0.001
rs186879571 lBF = `0.0106335` Chr`12` : `128,652,831`	0.000	0.999	0.001
rs1399439 lBF = `0.00947023` Chr`12` : `101,221,239`	0.000	0.999	0.001
rs147616082 lBF = `0.00023933` Chr`12` : `67,181,789`	0.001	0.999	0.000
rs10841496 lBF = `-0.0912671` Chr`12` : `20,521,654`	0.000	0.999	0.001
rs7299538 lBF = `-0.119961` Chr`12` : `46,085,330`	0.000	0.999	0.001
rs597808 lBF = `138.181` Chr`12` : `111,973,358`	0.001	0.999	0.000
rs7137828 lBF = `136.212` Chr`12` : `111,932,800`	0.001	0.999	0.000
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.001	0.999	0.000
rs11065979 lBF = `94.2904` Chr`12` : `112,059,557`	0.000	0.999	0.001
rs12423382 lBF = `0.0000625` Chr`12` : `16,179,371`	0.001	0.999	0.000
rs11066280 lBF = `0.00004018` Chr`12` : `112,817,783`	0.001	0.999	0.001
rs78852656 lBF = `0.00003558` Chr`12` : `119,619,997`	0.001	0.999	0.000
rs12302829 lBF = `0.00003088` Chr`12` : `5,140,484`	0.001	0.999	0.000
rs190262953 lBF = `0.00001109` Chr`12` : `91,825,974`	0.001	0.999	0.000
rs2271266 lBF = `0` Chr`12` : `102,506,044`	0.001	0.999	0.001
rs192568883 lBF = `0` Chr`12` : `107,606,126`	0.001	0.999	0.001
rs34778348 lBF = `0` Chr`12` : `40,757,328`	0.001	0.999	0.001
rs12311304 lBF = `0` Chr`12` : `15,389,637`	0.001	0.999	0.001
rs1809889 lBF = `0` Chr`12` : `124,801,226`	0.001	0.999	0.001
rs143980687 lBF = `0` Chr`12` : `1,661,608`	0.001	0.999	0.001
rs4542491 lBF = `0` Chr`12` : `82,536,844`	0.001	0.999	0.001
rs7956634 lBF = `0` Chr`12` : `15,321,194`	0.001	0.999	0.001
rs188585019 lBF = `0` Chr`12` : `86,564,926`	0.001	0.999	0.001
rs151326733 lBF = `0` Chr`12` : `16,189,478`	0.001	0.999	0.001
rs138037897 lBF = `0` Chr`12` : `29,985,498`	0.001	0.999	0.001
rs2074356 lBF = `0` Chr`12` : `112,645,401`	0.001	0.999	0.001
rs117876032 lBF = `0` Chr`12` : `125,736,003`	0.001	0.999	0.001
rs141955301 lBF = `0` Chr`12` : `2,358,738`	0.001	0.999	0.001
rs139427007 lBF = `0` Chr`12` : `97,596,103`	0.001	0.999	0.001
rs11066453 lBF = `0` Chr`12` : `113,365,621`	0.001	0.999	0.001
rs182408739 lBF = `0` Chr`12` : `65,726,649`	0.001	0.999	0.001
rs146978549 lBF = `0` Chr`12` : `17,049,912`	0.001	0.999	0.001
rs184061709 lBF = `0` Chr`12` : `22,462,278`	0.001	0.999	0.001
rs918304 lBF = `0` Chr`12` : `108,877,541`	0.001	0.999	0.001
rs183884080 lBF = `0` Chr`12` : `68,621,977`	0.001	0.999	0.001
rs2300290 lBF = `0` Chr`12` : `15,735,442`	0.001	0.999	0.001
rs11066015 lBF = `0` Chr`12` : `112,168,009`	0.001	0.999	0.001
rs2292664 lBF = `0` Chr`12` : `130,921,664`	0.001	0.999	0.001
rs12582168 lBF = `0` Chr`12` : `124,894,184`	0.001	0.999	0.001
rs143566192 lBF = `0` Chr`12` : `65,993,758`	0.001	0.999	0.001
rs12300553 lBF = `0` Chr`12` : `15,381,210`	0.001	0.999	0.001
rs3782886 lBF = `0` Chr`12` : `112,110,489`	0.001	0.999	0.001
rs143053231 lBF = `0` Chr`12` : `56,091,032`	0.001	0.999	0.001
rs191000678 lBF = `0` Chr`12` : `28,286,990`	0.001	0.999	0.001
rs137948794 lBF = `0` Chr`12` : `56,408,314`	0.001	0.999	0.001
rs10846617 lBF = `0` Chr`12` : `124,662,131`	0.001	0.999	0.001
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rs2272306 lBF = `-0.0485989` Chr`12` : `53,554,283`	0.000	1.000	0.000
rs1534618 lBF = `-0.0574493` Chr`12` : `119,303,195`	0.000	1.000	0.000
rs11168618 lBF = `-0.0604085` Chr`12` : `48,933,233`	0.000	1.000	0.000
rs1368578 lBF = `-0.0636707` Chr`12` : `76,476,956`	0.000	1.000	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.000	1.000	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.000	1.000	0.000
rs2268146 lBF = `8.28082` Chr`12` : `9,869,271`	0.000	1.000	0.000
rs7138803 lBF = `0.715138` Chr`12` : `50,247,468`	0.000	1.000	0.000
rs795484 lBF = `0.243076` Chr`12` : `118,589,862`	0.000	1.000	0.000
rs2338104 lBF = `0.17587` Chr`12` : `109,895,168`	0.000	1.000	0.000
rs7485210 lBF = `0.126606` Chr`12` : `131,638,853`	0.000	1.000	0.000
rs73044404 lBF = `0.0706572` Chr`12` : `2,135,449`	0.000	1.000	0.000
rs1443512 lBF = `0.0616224` Chr`12` : `54,342,684`	0.000	1.000	0.000
rs2272046 lBF = `0.0593854` Chr`12` : `66,224,461`	0.000	1.000	0.000
rs1402279 lBF = `0.0579971` Chr`12` : `77,729,385`	0.000	1.000	0.000
rs77628219 lBF = `0.0129624` Chr`12` : `87,404,130`	0.000	1.000	0.000
rs11058518 lBF = `0.0101956` Chr`12` : `126,582,613`	0.000	1.000	0.000
rs1442190 lBF = `0.0041724` Chr`12` : `41,365,640`	0.000	1.000	0.000
rs1882496 lBF = `-0.00032723` Chr`12` : `104,900,584`	0.000	1.000	0.000
rs11574532 lBF = `-0.018787` Chr`12` : `53,594,438`	0.000	1.000	0.000
rs703842 lBF = `-0.0489243` Chr`12` : `58,162,739`	0.000	1.000	0.000
rs11047395 lBF = `-0.0506139` Chr`12` : `24,513,701`	0.000	1.000	0.000
rs838886 lBF = `-0.0554773` Chr`12` : `125,264,287`	0.000	1.000	0.000
rs10772939 lBF = `-0.0755294` Chr`12` : `16,609,038`	0.000	1.000	0.000
rs2887631 lBF = `-0.113004` Chr`12` : `1,934,581`	0.000	1.000	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.000	1.000	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.000	1.000	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.000	1.000	0.000
rs3138142 lBF = `10.3889` Chr`12` : `56,115,585`	0.000	1.000	0.000
rs404443 lBF = `10.1143` Chr`12` : `52,860,609`	0.000	1.000	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.000	1.000	0.000
rs3764021 lBF = `5.72645` Chr`12` : `9,833,628`	0.000	1.000	0.000
rs12371778 lBF = `3.95458` Chr`12` : `28,156,081`	0.000	1.000	0.000
rs17040430 lBF = `0.425945` Chr`12` : `108,742,820`	0.000	1.000	0.000
rs10784502 lBF = `0.235294` Chr`12` : `66,343,810`	0.000	1.000	0.000
rs2343873 lBF = `0.0466979` Chr`12` : `26,404,298`	0.000	1.000	0.000
rs6581612 lBF = `0.0439212` Chr`12` : `65,534,624`	0.000	1.000	0.000
rs703556 lBF = `0.0322573` Chr`12` : `103,011,894`	0.000	1.000	0.000
rs187039407 lBF = `0.0120709` Chr`12` : `87,341,774`	0.000	1.000	0.000
rs12810016 lBF = `0.00229369` Chr`12` : `83,308,363`	0.000	1.000	0.000
rs7136572 lBF = `-0.00402774` Chr`12` : `95,959,788`	0.000	1.000	0.000
rs1569019 lBF = `-0.0293583` Chr`12` : `131,576,191`	0.000	1.000	0.000
rs10841048 lBF = `-0.0313165` Chr`12` : `18,779,259`	0.000	1.000	0.000
rs7487873 lBF = `-0.0327614` Chr`12` : `64,727,456`	0.000	1.000	0.000
rs7135417 lBF = `-0.0328155` Chr`12` : `128,176,235`	0.000	1.000	0.000
rs61745943 lBF = `-0.0420207` Chr`12` : `92,562,407`	0.000	1.000	0.000
rs1718309 lBF = `-0.0537091` Chr`12` : `103,242,396`	0.000	1.000	0.000
rs1368013 lBF = `-0.0671908` Chr`12` : `90,776,891`	0.000	1.000	0.000
rs10843647 lBF = `-0.0689499` Chr`12` : `30,341,934`	0.000	1.000	0.000
rs1368011 lBF = `-0.0701074` Chr`12` : `90,788,141`	0.000	1.000	0.000
rs247929 lBF = `-0.0709715` Chr`12` : `46,294,908`	0.000	1.000	0.000
rs11066679 lBF = `-0.0709874` Chr`12` : `114,123,402`	0.000	1.000	0.000
rs2066955 lBF = `-0.075234` Chr`12` : `82,090,616`	0.000	1.000	0.000
rs10862476 lBF = `-0.121784` Chr`12` : `77,133,805`	0.000	1.000	0.000
rs17096606 lBF = `36.0164` Chr`12` : `38,532,743`	0.000	1.000	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.000	1.000	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.000	1.000	0.000
rs370354 lBF = `10.0787` Chr`12` : `52,862,041`	0.000	1.000	0.000
rs373374 lBF = `9.61442` Chr`12` : `52,880,007`	0.000	1.000	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.000	1.000	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.000	1.000	0.000
rs2731443 lBF = `5.62823` Chr`12` : `51,094,138`	0.000	1.000	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.000	1.000	0.000
rs3794288 lBF = `0.216509` Chr`12` : `2,789,221`	0.000	1.000	0.000
rs1106766 lBF = `0.0945375` Chr`12` : `57,809,456`	0.000	1.000	0.000
rs11613352 lBF = `0.0645281` Chr`12` : `57,792,580`	0.000	1.000	0.000
rs258401 lBF = `0.0568533` Chr`12` : `28,008,769`	0.000	1.000	0.000
rs11105956 lBF = `0.0534094` Chr`12` : `91,447,523`	0.000	1.000	0.000
rs10400419 lBF = `0.053109` Chr`12` : `66,389,968`	0.000	1.000	0.000
rs1265507 lBF = `0.0528145` Chr`12` : `114,868,138`	0.000	1.000	0.000
rs1880887 lBF = `0.0224167` Chr`12` : `41,721,430`	0.000	1.000	0.000
rs76177788 lBF = `0.0120066` Chr`12` : `86,544,239`	0.000	1.000	0.000
rs139680557 lBF = `0.0111233` Chr`12` : `108,061,589`	0.000	1.000	0.000
rs187035304 lBF = `0.00715419` Chr`12` : `87,229,742`	0.000	1.000	0.000
rs142054194 lBF = `0.0063675` Chr`12` : `86,864,240`	0.000	1.000	0.000
rs140444490 lBF = `0.00607512` Chr`12` : `86,860,976`	0.000	1.000	0.000
rs183244340 lBF = `0.0050197` Chr`12` : `87,005,576`	0.000	1.000	0.000
rs79843055 lBF = `0.00066378` Chr`12` : `86,284,459`	0.000	1.000	0.000
rs117595305 lBF = `-0.00996742` Chr`12` : `19,052,763`	0.000	1.000	0.000
rs1871395 lBF = `-0.0242603` Chr`12` : `21,352,315`	0.000	1.000	0.000
rs12317268 lBF = `-0.0286854` Chr`12` : `21,352,541`	0.000	1.000	0.000
rs4149056 lBF = `-0.0420678` Chr`12` : `21,331,549`	0.000	1.000	0.000
rs11045879 lBF = `-0.054771` Chr`12` : `21,382,619`	0.000	1.000	0.000
rs4761097 lBF = `-0.0568683` Chr`12` : `85,187,511`	0.000	1.000	0.000
rs2216228 lBF = `-0.0578706` Chr`12` : `22,365,835`	0.000	1.000	0.000
rs4149080 lBF = `-0.0588165` Chr`12` : `21,377,559`	0.000	1.000	0.000
rs4149081 lBF = `-0.0609822` Chr`12` : `21,378,021`	0.000	1.000	0.000
rs1163656 lBF = `-0.0621041` Chr`12` : `81,337,458`	0.000	1.000	0.000
rs1816854 lBF = `-0.0651576` Chr`12` : `44,205,018`	0.000	1.000	0.000
rs12829704 lBF = `-0.0659069` Chr`12` : `21,388,621`	0.000	1.000	0.000
rs67053123 lBF = `-0.0680212` Chr`12` : `125,353,810`	0.000	1.000	0.000
rs1624802 lBF = `-0.0752044` Chr`12` : `130,497,472`	0.000	1.000	0.000
rs10492336 lBF = `-0.076945` Chr`12` : `114,585,580`	0.000	1.000	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.000	1.000	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	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 X0105

log Bayes Factor = 23.0031

contains 2 variants

0.7553

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5396

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1266

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9782

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9564

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9291

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9197

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9099

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9040

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9027

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8945

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8856

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8796

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8582

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.8565

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8500

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8361

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8331

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8173

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8038

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7994

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7884

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7832

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7665

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7648

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7483

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7169

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7103

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7081

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6865

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6687

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6582

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6466

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6446

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6345

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5814

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5511

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.4238

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4010

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3163

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2573

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2519

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2334

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2154

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2152

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2047

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1918

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1623

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1531

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1308

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1235

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1233

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1049

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1032

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1022

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0970

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0744

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0730

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0714

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0685

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0647

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0614

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0546

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0529

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`)