TreeWAS – [Z13.7] Special screening examination for congenital malformations, deformations and chromosomal abnormalities

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
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.700	0.300	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.698	0.302	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.694	0.306	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.690	0.310	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.688	0.311	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.688	0.312	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.673	0.327	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.669	0.331	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.653	0.347	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.644	0.356	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.642	0.357	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.637	0.363	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.619	0.381	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.603	0.397	0.000
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.597	0.402	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.556	0.444	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.546	0.454	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.541	0.458	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.526	0.474	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.524	0.476	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.523	0.477	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.520	0.480	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.511	0.489	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.509	0.491	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.507	0.492	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.507	0.493	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.492	0.507	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.483	0.517	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.475	0.525	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.470	0.530	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.468	0.532	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.468	0.532	0.000
rs138355804 lBF = `3.1184` Chr`4` : `30,402,249`	0.462	0.538	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.461	0.539	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.459	0.541	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.453	0.547	0.000
rs2333163 lBF = `3.36557` Chr`4` : `176,270,885`	0.450	0.549	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.441	0.558	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.438	0.562	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.437	0.563	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.428	0.572	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.421	0.579	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.420	0.580	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.417	0.582	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.413	0.587	0.000
rs201958930 lBF = `1.66444` Chr`4` : `59,737,471`	0.409	0.591	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.402	0.598	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.401	0.599	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.400	0.600	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.400	0.600	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.370	0.630	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.370	0.630	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.635	0.365
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.343	0.657	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.342	0.658	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.341	0.659	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.341	0.659	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.340	0.660	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.333	0.667	0.000
rs185609610 lBF = `1.07252` Chr`4` : `178,449,560`	0.327	0.672	0.000
rs147028191 lBF = `2.41973` Chr`4` : `46,414,112`	0.315	0.685	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.311	0.688	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.309	0.691	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.306	0.694	0.000
rs28875200 lBF = `1.01401` Chr`4` : `90,027,928`	0.305	0.695	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.296	0.704	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.289	0.711	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.282	0.718	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.277	0.723	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.272	0.728	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.270	0.730	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.266	0.734	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.264	0.736	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.264	0.736	0.000
rs902464 lBF = `0.590214` Chr`4` : `155,316,122`	0.000	0.738	0.262
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.261	0.738	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.255	0.745	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.254	0.745	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.252	0.748	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.248	0.752	0.000
rs57681851 lBF = `3.26619` Chr`4` : `2,290,698`	0.245	0.754	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.225	0.775	0.001
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.224	0.776	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.223	0.777	0.000
rs111361850 lBF = `1.08712` Chr`4` : `124,663,356`	0.221	0.779	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.218	0.782	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.217	0.783	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.215	0.785	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.211	0.789	0.000
rs6846071 lBF = `4.81519` Chr`4` : `102,402,215`	0.210	0.790	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.204	0.796	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.199	0.801	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.195	0.805	0.000
rs61361928 lBF = `1.47367` Chr`4` : `69,962,375`	0.193	0.806	0.000
rs184665953 lBF = `1.64759` Chr`4` : `46,444,334`	0.191	0.809	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.188	0.812	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.185	0.814	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.178	0.822	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.176	0.824	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.173	0.827	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.173	0.827	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.172	0.828	0.000
rs114326390 lBF = `0.810928` Chr`4` : `30,704,527`	0.163	0.837	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.157	0.843	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.150	0.850	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.148	0.852	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.147	0.853	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.142	0.858	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.142	0.858	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.139	0.861	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.136	0.864	0.000
rs13132569 lBF = `2.55457` Chr`4` : `61,603,156`	0.133	0.867	0.000
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.133	0.867	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.130	0.869	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.123	0.877	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.118	0.882	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.115	0.885	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.112	0.887	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.111	0.889	0.000
rs10032909 lBF = `0.16701` Chr`4` : `79,970,208`	0.110	0.890	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.103	0.897	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.097	0.902	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.094	0.906	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.092	0.908	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.086	0.914	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.084	0.916	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.084	0.916	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.078	0.922	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.076	0.924	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.075	0.924	0.001
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.076	0.924	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.075	0.925	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.074	0.926	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.071	0.929	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.068	0.932	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.065	0.934	0.000
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.065	0.935	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.065	0.935	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.064	0.936	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.063	0.937	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.055	0.945	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.050	0.949	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.048	0.951	0.001
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.049	0.951	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.047	0.953	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.047	0.953	0.000
rs41427747 lBF = `0.87398` Chr`4` : `104,920,479`	0.043	0.956	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.041	0.957	0.002
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.041	0.959	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.041	0.959	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.036	0.964	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.000	0.964	0.036
rs77156671 lBF = `0.0438365` Chr`4` : `165,400,820`	0.034	0.965	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.033	0.966	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.032	0.968	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.030	0.970	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.000	0.970	0.029
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.027	0.973	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.025	0.975	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.025	0.975	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.023	0.977	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.022	0.977	0.001
rs10022787 lBF = `8.05101` Chr`4` : `56,521,889`	0.022	0.978	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.022	0.978	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.022	0.978	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.021	0.979	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.021	0.979	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.020	0.980	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.020	0.980	0.000
rs4374681 lBF = `5.49218` Chr`4` : `1,566,164`	0.020	0.980	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.020	0.980	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.019	0.980	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.019	0.981	0.000
rs16995986 lBF = `0.0261092` Chr`4` : `86,693,317`	0.018	0.982	0.000
rs17028615 lBF = `0.020944` Chr`4` : `100,071,924`	0.018	0.982	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.018	0.982	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.001	0.982	0.017
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.017	0.983	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.017	0.983	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.016	0.983	0.001
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.017	0.983	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.017	0.983	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.016	0.984	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.016	0.984	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.016	0.984	0.000
rs148750727 lBF = `0.143412` Chr`4` : `188,022,952`	0.015	0.984	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.015	0.985	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.015	0.985	0.000
rs6054 lBF = `0.191228` Chr`4` : `155,489,608`	0.015	0.985	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.015	0.985	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.015	0.985	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.014	0.986	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.014	0.986	0.000
rs3805322 lBF = `0.019787` Chr`4` : `100,056,998`	0.013	0.987	0.000
rs573332 lBF = `0.0143991` Chr`4` : `13,122,535`	0.011	0.989	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.010	0.989	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.010	0.990	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.010	0.990	0.000
rs185438855 lBF = `0.0170967` Chr`4` : `132,061,770`	0.010	0.990	0.000
rs6853847 lBF = `0.268948` Chr`4` : `92,917,215`	0.010	0.990	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.009	0.991	0.000
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rs181310918 lBF = `0` Chr`4` : `105,727,392`	0.001	0.999	0.001
rs61068760 lBF = `0` Chr`4` : `105,851,876`	0.001	0.999	0.001
rs35141484 lBF = `0` Chr`4` : `39,088,341`	0.001	0.999	0.001
rs139070430 lBF = `0` Chr`4` : `62,181,774`	0.001	0.999	0.001
rs184650103 lBF = `0` Chr`4` : `74,850,649`	0.001	0.999	0.001
rs6537275 lBF = `0` Chr`4` : `145,242,662`	0.001	0.999	0.001
rs150450027 lBF = `0` Chr`4` : `14,126,743`	0.001	0.999	0.001
rs56404102 lBF = `0` Chr`4` : `105,795,516`	0.001	0.999	0.001
rs73838655 lBF = `0` Chr`4` : `105,874,586`	0.001	0.999	0.001
rs142210607 lBF = `0` Chr`4` : `55,751,694`	0.001	0.999	0.001
rs144063842 lBF = `0` Chr`4` : `67,400,255`	0.001	0.999	0.001
rs181995593 lBF = `0` Chr`4` : `21,883,085`	0.001	0.999	0.001
rs73839333 lBF = `0` Chr`4` : `105,648,102`	0.001	0.999	0.001
rs147515761 lBF = `0` Chr`4` : `105,843,919`	0.001	0.999	0.001
rs12510524 lBF = `-0.00000937` Chr`4` : `8,643,085`	0.000	0.999	0.001
rs28583512 lBF = `6.97733` Chr`4` : `20,124,487`	0.001	0.999	0.000
rs10517287 lBF = `0.0342819` Chr`4` : `33,624,702`	0.000	0.999	0.001
rs17031671 lBF = `-0.000013` Chr`4` : `155,389,247`	0.001	0.999	0.000
rs141644443 lBF = `-0.00001439` Chr`4` : `147,976,724`	0.000	0.999	0.001
rs17002342 lBF = `-0.00001526` Chr`4` : `77,955,205`	0.001	0.999	0.000
rs77708442 lBF = `-0.00005477` Chr`4` : `153,896,160`	0.001	0.999	0.000
rs16838131 lBF = `-0.00098846` Chr`4` : `6,058,497`	0.001	0.999	0.000
rs11726022 lBF = `-0.0343407` Chr`4` : `188,170,467`	0.001	0.999	0.000
rs1878528 lBF = `-0.0730735` Chr`4` : `82,184,234`	0.001	0.999	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.001	0.999	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.001	0.999	0.000
rs113991851 lBF = `-0.00564514` Chr`4` : `12,026,867`	0.001	0.999	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.001	0.999	0.000
rs1429138 lBF = `0.040284` Chr`4` : `148,282,342`	0.001	0.999	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.001	0.999	0.000
rs1008728 lBF = `8.41444` Chr`4` : `187,226,673`	0.000	0.999	0.001
rs9999118 lBF = `0.152554` Chr`4` : `124,051,467`	0.001	0.999	0.000
rs1039049 lBF = `0.00315858` Chr`4` : `81,337,626`	0.001	0.999	0.000
rs7676384 lBF = `0.0762431` Chr`4` : `162,173,480`	0.000	0.999	0.001
rs3792615 lBF = `-0.00186372` Chr`4` : `164,532,801`	0.001	0.999	0.000
rs4699587 lBF = `-0.0278109` Chr`4` : `95,615,769`	0.000	0.999	0.001
rs6852435 lBF = `0.41744` Chr`4` : `175,300,779`	0.001	0.999	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.001	0.999	0.000
rs994014 lBF = `-0.100548` Chr`4` : `82,165,790`	0.001	0.999	0.000
rs788867 lBF = `-0.0953575` Chr`4` : `82,150,006`	0.001	0.999	0.000
rs10017238 lBF = `0.0120105` Chr`4` : `183,687,789`	0.000	0.999	0.001
rs705117 lBF = `-0.0688734` Chr`4` : `72,608,115`	0.000	0.999	0.001
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.001	0.999	0.000
rs4689381 lBF = `5.96745` Chr`4` : `6,257,188`	0.000	0.999	0.001
rs13122273 lBF = `-0.0728882` Chr`4` : `13,102,351`	0.000	0.999	0.001
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.001	0.999	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.001	0.999	0.000
rs76930906 lBF = `0.110223` Chr`4` : `175,095,875`	0.000	0.999	0.001
rs6828540 lBF = `0.00031536` Chr`4` : `145,463,231`	0.001	0.999	0.000
rs10518159 lBF = `-0.0563941` Chr`4` : `77,763,998`	0.001	0.999	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.001	0.999	0.000
rs2472649 lBF = `0.0490006` Chr`4` : `74,857,708`	0.000	0.999	0.001
rs10027628 lBF = `0.0331611` Chr`4` : `95,643,957`	0.000	0.999	0.000
rs11568995 lBF = `-0.00194667` Chr`4` : `110,897,585`	0.000	0.999	0.001
rs955943 lBF = `-0.030599` Chr`4` : `16,514,408`	0.001	0.999	0.000
rs1495509 lBF = `-0.0734282` Chr`4` : `21,393,616`	0.000	0.999	0.001
rs959903 lBF = `-0.0961562` Chr`4` : `25,810,096`	0.000	0.999	0.001
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.001	0.999	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.001	0.999	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.001	0.999	0.000
rs1479279 lBF = `0.886523` Chr`4` : `12,099,335`	0.001	0.999	0.000
rs191097752 lBF = `0.0107371` Chr`4` : `106,102,991`	0.000	0.999	0.000
rs1268789 lBF = `-0.0901193` Chr`4` : `79,280,693`	0.000	0.999	0.001
rs2634074 lBF = `82.5116` Chr`4` : `111,677,041`	0.000	0.999	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.001	0.999	0.000
rs148685782 lBF = `1.2183` Chr`4` : `155,533,035`	0.001	0.999	0.000
rs76142193 lBF = `-0.00111302` Chr`4` : `98,542,759`	0.000	0.999	0.001
rs72890850 lBF = `-0.00111302` Chr`4` : `98,537,103`	0.000	0.999	0.001
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.001	0.999	0.000
rs28376053 lBF = `5.74783` Chr`4` : `20,173,329`	0.001	0.999	0.000
rs7676966 lBF = `0.00539523` Chr`4` : `98,546,673`	0.000	0.999	0.001
rs72892812 lBF = `-0.00167754` Chr`4` : `98,580,736`	0.000	0.999	0.001
rs60804385 lBF = `-0.00167754` Chr`4` : `98,586,550`	0.000	0.999	0.001
rs59172540 lBF = `-0.00167754` Chr`4` : `98,581,630`	0.000	0.999	0.001
rs57750317 lBF = `-0.00167754` Chr`4` : `98,586,976`	0.000	0.999	0.001
rs58864230 lBF = `-0.00167754` Chr`4` : `98,581,994`	0.000	0.999	0.001
rs59606962 lBF = `-0.00183542` Chr`4` : `98,567,962`	0.000	0.999	0.001
rs59602504 lBF = `-0.00183542` Chr`4` : `98,563,707`	0.000	0.999	0.001
rs59901031 lBF = `-0.00183542` Chr`4` : `98,561,791`	0.000	0.999	0.001
rs72890889 lBF = `-0.00183542` Chr`4` : `98,571,529`	0.000	0.999	0.001
rs56945629 lBF = `-0.00183542` Chr`4` : `98,567,639`	0.000	0.999	0.001
rs59810062 lBF = `-0.00183542` Chr`4` : `98,563,846`	0.000	0.999	0.001
rs17026847 lBF = `-0.0022154` Chr`4` : `98,550,198`	0.000	0.999	0.001
rs17556750 lBF = `-0.0866567` Chr`4` : `82,155,568`	0.001	0.999	0.000
rs13107461 lBF = `0.111904` Chr`4` : `68,978,569`	0.000	0.999	0.000
rs1960445 lBF = `0.627674` Chr`4` : `81,930,814`	0.001	0.999	0.000
rs16839553 lBF = `0.0887069` Chr`4` : `7,018,185`	0.000	0.999	0.000
rs115809613 lBF = `-0.00077684` Chr`4` : `99,892,475`	0.000	0.999	0.000
rs733048 lBF = `-0.0585084` Chr`4` : `13,242,797`	0.001	0.999	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.000	0.999	0.000
rs16872248 lBF = `0.350614` Chr`4` : `22,021,500`	0.000	0.999	0.000
rs145968728 lBF = `0.0539058` Chr`4` : `145,451,503`	0.000	0.999	0.000
rs7658637 lBF = `0.0082538` Chr`4` : `83,499,313`	0.000	0.999	0.000
rs4476553 lBF = `-0.0146133` Chr`4` : `4,704,014`	0.000	0.999	0.001
rs7695115 lBF = `9.91959` Chr`4` : `20,102,782`	0.000	0.999	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0825

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0642

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7167

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7166

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7156

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7154

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7151

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7144

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7106

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7067

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6986

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6967

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6904

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6861

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6830

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6821

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6776

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6749

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6710

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6687

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6680

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6663

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6639

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6601

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6583

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6576

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6522

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6293

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6289

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6282

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6281

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6237

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6215

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6069

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6043

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6027

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6004

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5847

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5821

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5778

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5770

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5734

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5635

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5625

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5622

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5461

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5457

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5435

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5430

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5410

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5363

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5355

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5211

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5174

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4875

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4742

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4540

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4362

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4093

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4051

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3822

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3767

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3462

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3275

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2991

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2776

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2733

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2662

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2526

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2519

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2491

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2357

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2340

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2273

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2273

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2234

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2182

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2181

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1909

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1875

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1826

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1619

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1418

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1383

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1329

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1320

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1241

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1138

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1124

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1103

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1052

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1033

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0958

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0956

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0917

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0858

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0845

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0843

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0815

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0755

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0717

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0664

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0620

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0614

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0580

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0573

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0559

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0527

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`)