TreeWAS – [Z34] Supervision of normal pregnancy

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

Z34

Supervision of normal pregnancy

Parent term	Z30-Z39 Persons encountering health services in circumstances related to reproduction
Nested terms	Z34.0 Supervision of normal first pregnancy Z34.8 Supervision of other normal pregnancy Z34.9 Supervision of normal pregnancy, unspecified

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Variant effects

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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
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.916	0.084	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.901	0.099	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.890	0.110	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.889	0.111	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.840	0.160	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.816	0.184	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.812	0.188	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.794	0.206	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.778	0.222	0.000
rs10022787 lBF = `8.05101` Chr`4` : `56,521,889`	0.770	0.230	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.767	0.233	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.746	0.254	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.741	0.259	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.738	0.262	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.734	0.266	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.716	0.284	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.709	0.291	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.697	0.303	0.000
rs2404916 lBF = `0.668989` Chr`4` : `154,995,463`	0.000	0.315	0.685
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.669	0.331	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.664	0.336	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.663	0.337	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.661	0.339	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.648	0.352	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.648	0.352	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.644	0.356	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.634	0.366	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.633	0.367	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.632	0.368	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.628	0.372	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.622	0.378	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.615	0.385	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.614	0.386	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.612	0.388	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.597	0.403	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.590	0.409	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.590	0.410	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.575	0.425	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.564	0.436	0.000
rs2333163 lBF = `3.36557` Chr`4` : `176,270,885`	0.561	0.439	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.557	0.443	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.554	0.446	0.000
rs147028191 lBF = `2.41973` Chr`4` : `46,414,112`	0.553	0.447	0.000
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.552	0.448	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.543	0.457	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.540	0.460	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.538	0.462	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.535	0.465	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.534	0.465	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.532	0.468	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.531	0.469	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.521	0.478	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.519	0.481	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.518	0.481	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.517	0.483	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.513	0.487	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.507	0.492	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.499	0.501	0.000
rs185609610 lBF = `1.07252` Chr`4` : `178,449,560`	0.497	0.503	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.487	0.513	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.483	0.516	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.483	0.517	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.483	0.517	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.479	0.521	0.000
rs6846071 lBF = `4.81519` Chr`4` : `102,402,215`	0.478	0.521	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.478	0.522	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.527	0.473
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.473	0.527	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.472	0.528	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.463	0.537	0.000
rs57681851 lBF = `3.26619` Chr`4` : `2,290,698`	0.461	0.539	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.454	0.545	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.450	0.550	0.000
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.444	0.556	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.442	0.558	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.433	0.567	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.432	0.568	0.000
rs28875200 lBF = `1.01401` Chr`4` : `90,027,928`	0.427	0.573	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.423	0.577	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.416	0.584	0.000
rs902464 lBF = `0.590214` Chr`4` : `155,316,122`	0.000	0.586	0.414
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.411	0.588	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.406	0.594	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.404	0.596	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.401	0.599	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.400	0.600	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.390	0.610	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.388	0.612	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.384	0.616	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.382	0.618	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.365	0.635	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.362	0.637	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.361	0.639	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.354	0.645	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.353	0.647	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.350	0.650	0.000
rs138355804 lBF = `3.1184` Chr`4` : `30,402,249`	0.349	0.651	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.345	0.655	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.342	0.658	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.339	0.660	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.337	0.663	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.325	0.675	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.322	0.678	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.311	0.689	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.310	0.690	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.302	0.698	0.001
rs61361928 lBF = `1.47367` Chr`4` : `69,962,375`	0.300	0.699	0.001
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.298	0.702	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.296	0.704	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.293	0.706	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.293	0.706	0.000
rs114326390 lBF = `0.810928` Chr`4` : `30,704,527`	0.290	0.710	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.286	0.714	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.276	0.724	0.000
rs184665953 lBF = `1.64759` Chr`4` : `46,444,334`	0.273	0.727	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.271	0.729	0.000
rs111361850 lBF = `1.08712` Chr`4` : `124,663,356`	0.269	0.731	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.268	0.731	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.267	0.733	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.258	0.742	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.254	0.746	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.249	0.750	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.247	0.753	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.212	0.764	0.024
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.230	0.770	0.000
rs201958930 lBF = `1.66444` Chr`4` : `59,737,471`	0.219	0.780	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.216	0.784	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.213	0.787	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.208	0.792	0.000
rs13132569 lBF = `2.55457` Chr`4` : `61,603,156`	0.202	0.798	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.201	0.799	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.196	0.804	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.188	0.811	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.183	0.816	0.001
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.180	0.820	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.178	0.821	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.175	0.825	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.173	0.826	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.173	0.826	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.173	0.826	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.172	0.828	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.170	0.830	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.168	0.832	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.161	0.839	0.001
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.157	0.843	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.151	0.849	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.033	0.850	0.118
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.145	0.855	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.142	0.858	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.140	0.860	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.133	0.864	0.003
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.135	0.864	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.133	0.866	0.001
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.132	0.868	0.000
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.126	0.874	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.126	0.874	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.126	0.874	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.124	0.876	0.000
rs10032909 lBF = `0.16701` Chr`4` : `79,970,208`	0.122	0.878	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.119	0.880	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.117	0.883	0.001
rs7673183 lBF = `8.12216` Chr`4` : `123,142,270`	0.117	0.883	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.116	0.884	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.111	0.888	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.110	0.890	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.107	0.893	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.106	0.893	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.105	0.895	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.103	0.897	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.102	0.898	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.101	0.899	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.098	0.902	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.097	0.903	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.097	0.903	0.000
rs6054 lBF = `0.191228` Chr`4` : `155,489,608`	0.096	0.904	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.096	0.904	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.093	0.906	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.089	0.910	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.089	0.911	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.087	0.912	0.001
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.087	0.913	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.086	0.914	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.085	0.915	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.078	0.922	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.077	0.923	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.075	0.924	0.001
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.069	0.931	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.067	0.933	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.066	0.934	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.064	0.935	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.064	0.936	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.064	0.936	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.062	0.938	0.000
rs41427747 lBF = `0.87398` Chr`4` : `104,920,479`	0.060	0.940	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.060	0.940	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.059	0.941	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.058	0.941	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.055	0.944	0.001
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.055	0.945	0.000
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rs17054392 lBF = `0.0005003` Chr`4` : `169,530,258`	0.001	0.998	0.000
rs1868245 lBF = `0.0014785` Chr`4` : `87,848,739`	0.001	0.998	0.000
rs16871289 lBF = `-0.00003337` Chr`4` : `21,511,383`	0.001	0.998	0.000
rs13133845 lBF = `0.0140746` Chr`4` : `95,594,616`	0.000	0.998	0.001
rs114070671 lBF = `0.00049337` Chr`4` : `41,056,716`	0.001	0.998	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.000	0.998	0.001
rs6837335 lBF = `-0.00162005` Chr`4` : `48,363,983`	0.002	0.998	0.000
rs7438704 lBF = `-0.0122158` Chr`4` : `48,363,245`	0.002	0.998	0.000
rs17036129 lBF = `-0.0243921` Chr`4` : `106,624,529`	0.000	0.998	0.002
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.001	0.998	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.001	0.998	0.000
rs2518590 lBF = `0.00081962` Chr`4` : `17,435,090`	0.000	0.998	0.001
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.001	0.999	0.000
rs6845621 lBF = `-0.051006` Chr`4` : `18,866,169`	0.000	0.999	0.001
rs907499 lBF = `0.00137205` Chr`4` : `26,137,019`	0.000	0.999	0.001
rs191097752 lBF = `0.0107371` Chr`4` : `106,102,991`	0.001	0.999	0.000
rs17478107 lBF = `-0.101451` Chr`4` : `16,002,288`	0.000	0.999	0.001
rs3931397 lBF = `-0.0261335` Chr`4` : `149,079,497`	0.001	0.999	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.001	0.999	0.000
rs190972371 lBF = `0.00073049` Chr`4` : `57,680,410`	0.001	0.999	0.000
rs72671852 lBF = `-0.0326642` Chr`4` : `106,646,349`	0.000	0.999	0.001
rs113228472 lBF = `0.0325794` Chr`4` : `89,513,012`	0.001	0.999	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.001	0.999	0.000
rs3135071 lBF = `-0.0574252` Chr`4` : `2,406,321`	0.000	0.999	0.001
rs1593 lBF = `19.3299` Chr`4` : `187,195,551`	0.001	0.999	0.000
rs1115363 lBF = `0.00098881` Chr`4` : `67,073,143`	0.001	0.999	0.000
rs17090640 lBF = `-0.0331028` Chr`4` : `180,667,647`	0.000	0.999	0.001
rs16877106 lBF = `2.21521` Chr`4` : `25,403,266`	0.001	0.999	0.000
rs6851442 lBF = `0.119052` Chr`4` : `108,959,282`	0.001	0.999	0.000
rs6832720 lBF = `0.0275606` Chr`4` : `58,148,386`	0.001	0.999	0.000
rs6531565 lBF = `0.00027041` Chr`4` : `37,662,532`	0.000	0.999	0.001
rs11727735 lBF = `-0.02572` Chr`4` : `106,631,870`	0.000	0.999	0.001
rs72671826 lBF = `-0.0258052` Chr`4` : `106,624,502`	0.000	0.999	0.001
rs76419734 lBF = `-0.0258052` Chr`4` : `106,624,285`	0.000	0.999	0.001
rs115641191 lBF = `0.0112616` Chr`4` : `103,054,209`	0.001	0.999	0.000
rs10516526 lBF = `-0.0289319` Chr`4` : `106,688,904`	0.000	0.999	0.001
rs75285952 lBF = `1.61462` Chr`4` : `27,904,556`	0.000	0.999	0.001
rs148685782 lBF = `1.2183` Chr`4` : `155,533,035`	0.001	0.999	0.000
rs2114039 lBF = `-0.02789` Chr`4` : `55,092,626`	0.001	0.999	0.000
rs6852678 lBF = `-0.0893474` Chr`4` : `76,542,749`	0.001	0.999	0.000
rs7676384 lBF = `0.0762431` Chr`4` : `162,173,480`	0.001	0.999	0.000
rs11727189 lBF = `-0.0298117` Chr`4` : `106,619,140`	0.000	0.999	0.001
rs10518128 lBF = `0.00441868` Chr`4` : `75,713,368`	0.000	0.999	0.001
rs117802898 lBF = `0.00025648` Chr`4` : `94,006,769`	0.001	0.999	0.000
rs7669806 lBF = `0.00025535` Chr`4` : `78,346,377`	0.001	0.999	0.000
rs17218161 lBF = `0.00027201` Chr`4` : `59,213,845`	0.001	0.999	0.000
rs143324395 lBF = `0.00024182` Chr`4` : `94,013,991`	0.001	0.999	0.000
rs117932668 lBF = `0.00024182` Chr`4` : `94,015,689`	0.001	0.999	0.000
rs7656730 lBF = `0.0002306` Chr`4` : `40,159,617`	0.001	0.999	0.000
rs1443170 lBF = `0.00019434` Chr`4` : `128,320,908`	0.001	0.999	0.000
rs75764011 lBF = `0.00013191` Chr`4` : `149,574,749`	0.001	0.999	0.000
rs1405687 lBF = `-0.049265` Chr`4` : `101,931,826`	0.000	0.999	0.001
rs4860223 lBF = `0.0122637` Chr`4` : `67,614,569`	0.001	0.999	0.000
rs72909131 lBF = `0.00013477` Chr`4` : `83,512,841`	0.001	0.999	0.000
rs10007810 lBF = `-0.0220684` Chr`4` : `41,554,364`	0.000	0.999	0.001
rs191493117 lBF = `0.00021266` Chr`4` : `147,360,131`	0.001	0.999	0.000
rs6854845 lBF = `0.0665211` Chr`4` : `75,746,665`	0.000	0.999	0.001
rs9997524 lBF = `0.00016238` Chr`4` : `43,052,186`	0.001	0.999	0.000
rs186873296 lBF = `0.00017005` Chr`4` : `144,702,474`	0.001	0.999	0.000
rs17623373 lBF = `0.107538` Chr`4` : `185,121,733`	0.001	0.999	0.000
rs3733309 lBF = `0.0524375` Chr`4` : `57,857,188`	0.000	0.999	0.001
rs73838658 lBF = `0.00005513` Chr`4` : `105,887,308`	0.001	0.999	0.000
rs115426111 lBF = `0.000012` Chr`4` : `38,161,064`	0.000	0.999	0.001
rs150450027 lBF = `0` Chr`4` : `14,126,743`	0.001	0.999	0.001
rs115971165 lBF = `0` Chr`4` : `25,640,372`	0.001	0.999	0.001
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
rs181995593 lBF = `0` Chr`4` : `21,883,085`	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
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
rs73838632 lBF = `0` Chr`4` : `105,783,389`	0.001	0.999	0.001
rs56235007 lBF = `0` Chr`4` : `105,873,783`	0.001	0.999	0.001
rs148684605 lBF = `0` Chr`4` : `67,341,625`	0.001	0.999	0.001
rs1812175 lBF = `0` Chr`4` : `145,574,844`	0.001	0.999	0.001
rs61095879 lBF = `0` Chr`4` : `105,579,101`	0.001	0.999	0.001
rs192264222 lBF = `0` Chr`4` : `105,825,450`	0.001	0.999	0.001
rs148635969 lBF = `0` Chr`4` : `72,316,967`	0.001	0.999	0.001
rs145688504 lBF = `0` Chr`4` : `93,704,690`	0.001	0.999	0.001
rs73836173 lBF = `0` Chr`4` : `105,749,533`	0.001	0.999	0.001
rs73838652 lBF = `0` Chr`4` : `105,871,450`	0.001	0.999	0.001
rs114681481 lBF = `0` Chr`4` : `67,330,261`	0.001	0.999	0.001
rs191540052 lBF = `0` Chr`4` : `4,887,114`	0.001	0.999	0.001
rs186699656 lBF = `0` Chr`4` : `147,040,943`	0.001	0.999	0.001
rs80127210 lBF = `0` Chr`4` : `36,441,974`	0.001	0.999	0.001
rs73838643 lBF = `0` Chr`4` : `105,822,559`	0.001	0.999	0.001
rs192046469 lBF = `0` Chr`4` : `54,944,743`	0.001	0.999	0.001
rs140671052 lBF = `0` Chr`4` : `93,101,088`	0.001	0.999	0.001
rs77285130 lBF = `0` Chr`4` : `105,729,020`	0.001	0.999	0.001
rs76187983 lBF = `0` Chr`4` : `105,853,122`	0.001	0.999	0.001
rs17643636 lBF = `0` Chr`4` : `122,921,045`	0.001	0.999	0.001
rs1512282 lBF = `0` Chr`4` : `145,431,497`	0.001	0.999	0.001
rs73838636 lBF = `0` Chr`4` : `105,806,096`	0.001	0.999	0.001
rs74341662 lBF = `0` Chr`4` : `105,879,194`	0.001	0.999	0.001
rs193113980 lBF = `0` Chr`4` : `54,889,383`	0.001	0.999	0.001

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

0.2537

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0889

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.0813

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0728

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9998

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9998

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9979

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9957

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9949

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9940

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9940

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9930

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9919

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9859

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9842

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9826

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9816

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9808

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9780

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9777

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9662

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9590

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9467

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9420

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9400

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9296

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9202

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9101

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9054

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9050

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8954

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8928

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8857

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8840

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8706

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8620

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8569

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8484

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8468

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8356

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8247

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8179

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8102

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8066

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8047

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7833

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7830

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7590

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7475

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7459

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7036

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6983

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6752

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6616

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6614

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6577

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6396

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6320

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6314

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6217

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6195

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6184

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5977

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5966

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5907

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5778

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5726

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5551

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5295

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5144

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5142

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5105

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5075

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5064

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4736

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4638

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4633

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4593

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4413

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4367

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4280

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4264

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4253

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4242

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4152

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4005

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3924

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3868

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3819

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3660

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3445

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3344

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3246

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3207

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3167

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3158

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3105

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2983

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2871

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2849

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2784

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2717

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2552

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2334

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2249

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2203

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2191

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2143

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2089

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2084

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2057

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2032

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1902

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1808

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1748

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1715

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1711

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1692

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1689

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1585

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1460

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1312

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1248

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1112

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1016

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1005

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0992

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0988

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0925

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0883

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0836

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0735

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0699

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0673

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0644

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0635

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0611

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0608

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0608

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0606

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0603

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0597

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0596

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0593

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0585

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0574

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0558

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0555

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0540

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0525

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0509

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)

Hospitalization Episode Statistics (`HES`)