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
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.900	0.100	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.860	0.140	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.849	0.151	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.846	0.154	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.840	0.160	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.827	0.173	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.821	0.179	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.808	0.192	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.797	0.203	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.768	0.232	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.741	0.259	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.727	0.273	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.724	0.276	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.707	0.293	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.701	0.299	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.693	0.307	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.686	0.313	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.683	0.317	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.653	0.347	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.640	0.360	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.598	0.401	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.587	0.413	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.573	0.427	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.566	0.434	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.562	0.438	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.556	0.444	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.555	0.445	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.555	0.445	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.547	0.453	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.546	0.454	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.533	0.467	0.000
rs10498345 lBF = `1.07994` Chr`14` : `39,020,505`	0.493	0.506	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.493	0.507	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.493	0.507	0.000
rs192692653 lBF = `2.44667` Chr`14` : `52,384,486`	0.488	0.512	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.477	0.523	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.473	0.527	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.472	0.528	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.441	0.559	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.441	0.559	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.438	0.562	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.426	0.574	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.408	0.592	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.383	0.617	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.377	0.623	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.361	0.639	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.356	0.641	0.004
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.359	0.641	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.350	0.650	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.348	0.652	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.335	0.665	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.319	0.681	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.317	0.683	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.313	0.687	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.311	0.688	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.308	0.692	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.306	0.694	0.000
rs80221072 lBF = `0.96065` Chr`14` : `33,795,591`	0.299	0.700	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.278	0.722	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.275	0.725	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.274	0.725	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.265	0.735	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.263	0.737	0.000
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.228	0.772	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.222	0.777	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.220	0.780	0.000
rs192549394 lBF = `1.61666` Chr`14` : `52,293,779`	0.220	0.780	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.205	0.795	0.000
rs144190017 lBF = `0.182292` Chr`14` : `25,893,032`	0.200	0.800	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.183	0.817	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.165	0.835	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.846	0.154
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.154	0.846	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.152	0.847	0.001
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.148	0.852	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.145	0.855	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.010	0.857	0.133
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.142	0.857	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.140	0.860	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.138	0.862	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.134	0.865	0.000
rs186152940 lBF = `0.126532` Chr`14` : `46,476,984`	0.134	0.866	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.130	0.870	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.109	0.890	0.001
rs182491339 lBF = `0.10278` Chr`14` : `66,049,929`	0.106	0.893	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.105	0.895	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.102	0.898	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.102	0.898	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.098	0.901	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.093	0.907	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.086	0.914	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.015	0.916	0.068
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.083	0.917	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.081	0.919	0.001
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.072	0.928	0.000
rs150511909 lBF = `0.288513` Chr`14` : `97,908,686`	0.072	0.928	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.068	0.931	0.001
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.055	0.945	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.054	0.946	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.053	0.946	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.048	0.952	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.046	0.954	0.000
rs183755958 lBF = `0.0427294` Chr`14` : `52,307,478`	0.046	0.954	0.000
rs1998848 lBF = `0.0282524` Chr`14` : `21,492,229`	0.040	0.960	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.038	0.961	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.036	0.964	0.001
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.035	0.965	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.033	0.966	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.033	0.967	0.000
rs10483349 lBF = `-0.0136446` Chr`14` : `29,629,456`	0.032	0.968	0.000
rs186116546 lBF = `0.0301833` Chr`14` : `65,986,176`	0.032	0.968	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.031	0.969	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.030	0.969	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.029	0.971	0.000
rs58262369 lBF = `0.0229117` Chr`14` : `64,693,912`	0.026	0.974	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.025	0.975	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.025	0.975	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.025	0.975	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.023	0.977	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.022	0.978	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.020	0.979	0.001
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.021	0.979	0.000
rs10131728 lBF = `-0.0206612` Chr`14` : `81,635,323`	0.018	0.982	0.000
rs11627967 lBF = `0.353752` Chr`14` : `33,769,912`	0.017	0.983	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.017	0.983	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.016	0.984	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.015	0.985	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.015	0.985	0.000
rs76745467 lBF = `0.113511` Chr`14` : `69,426,389`	0.013	0.987	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.013	0.987	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.013	0.987	0.000
rs1465330 lBF = `0.618084` Chr`14` : `77,601,819`	0.013	0.987	0.000
rs117672662 lBF = `0.032178` Chr`14` : `69,425,467`	0.012	0.988	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.012	0.988	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.012	0.988	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.011	0.988	0.000
rs75258359 lBF = `8.02415` Chr`14` : `69,600,635`	0.011	0.989	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.011	0.989	0.000
rs12587252 lBF = `0.5067` Chr`14` : `81,405,922`	0.011	0.989	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.010	0.990	0.000
rs1508945 lBF = `0.0681269` Chr`14` : `58,034,570`	0.000	0.990	0.010
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.009	0.990	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.009	0.990	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.009	0.991	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.009	0.991	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.009	0.991	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.009	0.991	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.009	0.991	0.000
rs117911949 lBF = `0.377711` Chr`14` : `72,016,789`	0.008	0.992	0.000
rs17176043 lBF = `0.00204714` Chr`14` : `36,994,802`	0.008	0.992	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.008	0.992	0.000
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.008	0.992	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.007	0.992	0.000
rs8009420 lBF = `0.685846` Chr`14` : `54,263,851`	0.007	0.993	0.000
rs61280460 lBF = `1.0785` Chr`14` : `94,796,184`	0.007	0.993	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.006	0.994	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.005	0.994	0.001
rs11625793 lBF = `-0.0864867` Chr`14` : `66,315,883`	0.006	0.994	0.000
rs1092015 lBF = `1.59496` Chr`14` : `58,200,725`	0.000	0.994	0.005
rs117297873 lBF = `0.00850646` Chr`14` : `91,870,330`	0.005	0.995	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.005	0.995	0.000
rs11623713 lBF = `0.147314` Chr`14` : `99,240,316`	0.005	0.995	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.005	0.995	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.005	0.995	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.005	0.995	0.000
rs35955841 lBF = `-0.0337909` Chr`14` : `65,319,361`	0.005	0.995	0.000
rs185449237 lBF = `0.00377806` Chr`14` : `47,199,333`	0.004	0.996	0.000
rs7155603 lBF = `-0.0655658` Chr`14` : `75,960,536`	0.000	0.996	0.004
rs17094983 lBF = `0.241374` Chr`14` : `59,189,361`	0.004	0.996	0.000
rs6576086 lBF = `0.00570964` Chr`14` : `105,873,144`	0.000	0.996	0.004
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.004	0.996	0.000
rs1049564 lBF = `-0.0101091` Chr`14` : `20,940,606`	0.000	0.996	0.004
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.002	0.996	0.002
rs6573333 lBF = `0.106706` Chr`14` : `61,308,337`	0.000	0.997	0.003
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.003	0.997	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.003	0.997	0.000
rs76513344 lBF = `0.00295873` Chr`14` : `63,047,683`	0.003	0.997	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.003	0.997	0.000
rs7158872 lBF = `-0.061895` Chr`14` : `49,426,842`	0.000	0.997	0.003
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.002	0.997	0.001
rs10151686 lBF = `0.169654` Chr`14` : `30,466,466`	0.003	0.997	0.000
rs36405 lBF = `0.00308779` Chr`14` : `72,357,937`	0.000	0.997	0.003
rs8014907 lBF = `-0.0870486` Chr`14` : `92,800,004`	0.003	0.997	0.000
rs10484100 lBF = `0.0804306` Chr`14` : `86,817,096`	0.000	0.997	0.002
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.002	0.998	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.002	0.998	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.002	0.998	0.000
rs1190596 lBF = `-0.0280212` Chr`14` : `102,595,625`	0.000	0.998	0.002
rs809 lBF = `0.00554496` Chr`14` : `78,556,464`	0.002	0.998	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.002	0.998	0.000
rs17093520 lBF = `7.13877` Chr`14` : `74,346,295`	0.002	0.998	0.000
rs12100649 lBF = `0.0300728` Chr`14` : `46,006,240`	0.000	0.998	0.002
rs8007846 lBF = `-0.0864345` Chr`14` : `66,262,963`	0.000	0.998	0.002
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.002	0.998	0.000
rs10162376 lBF = `0.00098877` Chr`14` : `81,030,493`	0.001	0.998	0.000
rs12586478 lBF = `0.040885` Chr`14` : `86,768,365`	0.000	0.998	0.002
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.002	0.998	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.002	0.998	0.000
rs115169421 lBF = `0.00090948` Chr`14` : `96,093,847`	0.001	0.998	0.000
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rs12431410 lBF = `0.00861753` Chr`14` : `60,166,022`	0.000	1.000	0.000
rs12432260 lBF = `0.00383996` Chr`14` : `95,848,294`	0.000	1.000	0.000
rs117167774 lBF = `-0.00757823` Chr`14` : `48,823,885`	0.000	1.000	0.000
rs8007661 lBF = `-0.0251834` Chr`14` : `92,459,958`	0.000	1.000	0.000
rs7141238 lBF = `-0.0308401` Chr`14` : `61,734,640`	0.000	1.000	0.000
rs2274511 lBF = `-0.0309197` Chr`14` : `33,829,320`	0.000	1.000	0.000
rs2012796 lBF = `0.238873` Chr`14` : `81,810,945`	0.000	1.000	0.000
rs4906172 lBF = `0.141726` Chr`14` : `102,454,933`	0.000	1.000	0.000
rs73276024 lBF = `0.11509` Chr`14` : `56,356,921`	0.000	1.000	0.000
rs2300603 lBF = `0.0470879` Chr`14` : `76,005,557`	0.000	1.000	0.000
rs7143963 lBF = `0.0204879` Chr`14` : `103,304,425`	0.000	1.000	0.000
rs17125944 lBF = `0.0176287` Chr`14` : `53,400,629`	0.000	1.000	0.000
rs365990 lBF = `0.00985271` Chr`14` : `23,861,811`	0.000	1.000	0.000
rs75575287 lBF = `0.00419909` Chr`14` : `73,222,829`	0.000	1.000	0.000
rs35862341 lBF = `-0.0081052` Chr`14` : `56,361,738`	0.000	1.000	0.000
rs117097805 lBF = `-0.0216567` Chr`14` : `43,529,765`	0.000	1.000	0.000
rs210359 lBF = `-0.0326598` Chr`14` : `54,167,472`	0.000	1.000	0.000
rs11624056 lBF = `-0.0677856` Chr`14` : `87,506,248`	0.000	1.000	0.000
rs227869 lBF = `-0.0748106` Chr`14` : `22,956,710`	0.000	1.000	0.000
rs7159888 lBF = `-0.10412` Chr`14` : `65,758,642`	0.000	1.000	0.000
rs17767392 lBF = `2.20157` Chr`14` : `71,764,777`	0.000	1.000	0.000
rs2370983 lBF = `0.0704102` Chr`14` : `79,903,376`	0.000	1.000	0.000
rs8023225 lBF = `-0.0246606` Chr`14` : `83,354,938`	0.000	1.000	0.000
rs10148671 lBF = `-0.0309882` Chr`14` : `29,469,373`	0.000	1.000	0.000
rs12436436 lBF = `-0.0517485` Chr`14` : `24,381,515`	0.000	1.000	0.000
rs1335515 lBF = `-0.0741488` Chr`14` : `58,385,365`	0.000	1.000	0.000
rs7158173 lBF = `-0.0840089` Chr`14` : `65,645,250`	0.000	1.000	0.000
rs78807545 lBF = `1.66568` Chr`14` : `97,541,630`	0.000	1.000	0.000
rs1268843 lBF = `0.242755` Chr`14` : `93,644,379`	0.000	1.000	0.000
rs17104363 lBF = `0.145376` Chr`14` : `67,939,483`	0.000	1.000	0.000
rs7153648 lBF = `0.0975812` Chr`14` : `61,122,526`	0.000	1.000	0.000
rs4982029 lBF = `0.00185534` Chr`14` : `33,476,266`	0.000	1.000	0.000
rs79578553 lBF = `0.00155831` Chr`14` : `61,595,747`	0.000	1.000	0.000
rs8015959 lBF = `0.00116327` Chr`14` : `33,480,922`	0.000	1.000	0.000
rs4900022 lBF = `-0.00005395` Chr`14` : `90,615,513`	0.000	1.000	0.000
rs111803315 lBF = `-0.00872891` Chr`14` : `59,965,293`	0.000	1.000	0.000
rs2877649 lBF = `-0.0161482` Chr`14` : `24,954,002`	0.000	1.000	0.000
rs7141420 lBF = `-0.0221023` Chr`14` : `79,899,454`	0.000	1.000	0.000
rs2274273 lBF = `-0.0245136` Chr`14` : `55,614,636`	0.000	1.000	0.000
rs1952157 lBF = `-0.0273529` Chr`14` : `34,289,438`	0.000	1.000	0.000
rs8017161 lBF = `-0.0323255` Chr`14` : `103,563,195`	0.000	1.000	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.000	1.000	0.000
rs11844632 lBF = `2.74782` Chr`14` : `69,026,379`	0.000	1.000	0.000
rs17127713 lBF = `0.0575476` Chr`14` : `55,122,918`	0.000	1.000	0.000
rs3811321 lBF = `-0.00354109` Chr`14` : `22,481,824`	0.000	1.000	0.000
rs2352904 lBF = `-0.0730186` Chr`14` : `49,372,801`	0.000	1.000	0.000
rs35209784 lBF = `0.00609035` Chr`14` : `59,751,830`	0.000	1.000	0.000
rs75987388 lBF = `-0.0128527` Chr`14` : `70,385,707`	0.000	1.000	0.000
rs7494379 lBF = `-0.0329853` Chr`14` : `53,411,391`	0.000	1.000	0.000
rs6574988 lBF = `-0.0473908` Chr`14` : `88,559,992`	0.000	1.000	0.000
rs2803904 lBF = `-0.0555828` Chr`14` : `38,641,706`	0.000	1.000	0.000
rs17111530 lBF = `0.778096` Chr`14` : `81,598,912`	0.000	1.000	0.000
rs2488856 lBF = `0.0435537` Chr`14` : `43,531,402`	0.000	1.000	0.000
rs11847697 lBF = `0.027204` Chr`14` : `30,515,112`	0.000	1.000	0.000
rs8005745 lBF = `-0.00505689` Chr`14` : `62,185,295`	0.000	1.000	0.000
rs17796783 lBF = `-0.0150556` Chr`14` : `85,809,911`	0.000	1.000	0.000
rs2841233 lBF = `-0.0360185` Chr`14` : `105,346,907`	0.000	1.000	0.000
rs4280164 lBF = `-0.0396837` Chr`14` : `24,771,285`	0.000	1.000	0.000
rs67478160 lBF = `-0.0789103` Chr`14` : `104,290,674`	0.000	1.000	0.000
rs2121070 lBF = `-0.0889456` Chr`14` : `76,650,764`	0.000	1.000	0.000
rs11624164 lBF = `6.6423` Chr`14` : `68,986,157`	0.000	1.000	0.000
rs8005161 lBF = `2.02207` Chr`14` : `88,472,595`	0.000	1.000	0.000
rs55808324 lBF = `0.930699` Chr`14` : `88,444,752`	0.000	1.000	0.000
rs183266 lBF = `0.280647` Chr`14` : `77,497,975`	0.000	1.000	0.000
rs4902960 lBF = `0.0355215` Chr`14` : `72,432,149`	0.000	1.000	0.000
rs146647518 lBF = `0.0130713` Chr`14` : `67,529,620`	0.000	1.000	0.000
rs862946 lBF = `-0.0100431` Chr`14` : `26,488,467`	0.000	1.000	0.000
rs11622412 lBF = `-0.012084` Chr`14` : `38,683,261`	0.000	1.000	0.000
rs4902141 lBF = `-0.0170287` Chr`14` : `62,968,395`	0.000	1.000	0.000
rs4898641 lBF = `-0.0381064` Chr`14` : `38,013,787`	0.000	1.000	0.000
rs1286083 lBF = `-0.0429057` Chr`14` : `91,442,779`	0.000	1.000	0.000
rs1006973 lBF = `-0.0437442` Chr`14` : `52,077,089`	0.000	1.000	0.000
rs17460823 lBF = `-0.0444598` Chr`14` : `33,586,563`	0.000	1.000	0.000
rs2028414 lBF = `-0.0591199` Chr`14` : `105,349,388`	0.000	1.000	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.000	1.000	0.000
rs12127 lBF = `1.53499` Chr`14` : `71,956,270`	0.000	1.000	0.000
rs8020941 lBF = `1.5323` Chr`14` : `97,533,362`	0.000	1.000	0.000
rs4444235 lBF = `1.14546` Chr`14` : `54,410,919`	0.000	1.000	0.000
rs116909374 lBF = `0.909579` Chr`14` : `36,738,361`	0.000	1.000	0.000
rs17108533 lBF = `0.245552` Chr`14` : `71,249,802`	0.000	1.000	0.000
rs72627123 lBF = `0.230839` Chr`14` : `74,368,331`	0.000	1.000	0.000
rs2341534 lBF = `0.187922` Chr`14` : `55,784,737`	0.000	1.000	0.000
rs34310550 lBF = `0.169665` Chr`14` : `38,912,395`	0.000	1.000	0.000
rs2143950 lBF = `0.132425` Chr`14` : `35,572,357`	0.000	1.000	0.000
rs2784505 lBF = `0.111834` Chr`14` : `62,432,013`	0.000	1.000	0.000
rs2076751 lBF = `0.0980318` Chr`14` : `36,989,419`	0.000	1.000	0.000
rs55951657 lBF = `0.0422951` Chr`14` : `74,074,732`	0.000	1.000	0.000
rs3783938 lBF = `0.0404748` Chr`14` : `81,594,380`	0.000	1.000	0.000
rs12884395 lBF = `0.0366014` Chr`14` : `45,106,632`	0.000	1.000	0.000
rs9323124 lBF = `0.00500737` Chr`14` : `47,466,177`	0.000	1.000	0.000
rs36032616 lBF = `0.00464787` Chr`14` : `72,484,156`	0.000	1.000	0.000
rs1316298 lBF = `-0.0104322` Chr`14` : `52,365,774`	0.000	1.000	0.000
rs12887386 lBF = `-0.0281423` Chr`14` : `85,565,927`	0.000	1.000	0.000
rs8022296 lBF = `-0.0349449` Chr`14` : `97,987,857`	0.000	1.000	0.000
rs4899685 lBF = `-0.0686256` Chr`14` : `78,421,058`	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 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`)