TreeWAS – [O02] Other abnormal products of conception

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

O02

Other abnormal products of conception

Parent term	O00-O08 Pregnancy with abortive outcome
Nested terms	O02.0 Blighted ovum and nonhydatidiform mole O02.1 Missed abortion O02.8 Other specified abnormal products of conception O02.9 Abnormal product of conception, 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
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.996	0.004	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.986	0.014	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.980	0.020	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.968	0.032	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.961	0.039	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.958	0.042	0.000
rs17762192 lBF = `2.36343` Chr`1` : `214,125,127`	0.956	0.044	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.955	0.045	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.950	0.050	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.942	0.058	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.933	0.067	0.000
rs9368666 lBF = `20.5229` Chr`6` : `31,229,644`	0.931	0.069	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.928	0.072	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.926	0.074	0.000
rs56198862 lBF = `5.18995` Chr`1` : `41,172,312`	0.924	0.076	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.921	0.079	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.919	0.081	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.916	0.084	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.915	0.085	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.915	0.085	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.914	0.086	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.911	0.089	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.909	0.091	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.906	0.094	0.000
rs72660931 lBF = `10.5803` Chr`1` : `25,752,282`	0.906	0.094	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.904	0.096	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.904	0.096	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.903	0.097	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.903	0.097	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.900	0.100	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.900	0.100	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.900	0.100	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.899	0.101	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.899	0.101	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.897	0.103	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.894	0.106	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.893	0.107	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.893	0.107	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.892	0.108	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.892	0.108	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.891	0.109	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.890	0.110	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.889	0.111	0.000
rs2894196 lBF = `17.3657` Chr`6` : `31,230,111`	0.887	0.113	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.881	0.119	0.000
rs72660956 lBF = `14.4052` Chr`1` : `25,800,018`	0.877	0.123	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.877	0.123	0.000
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.874	0.126	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.871	0.129	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.866	0.134	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.862	0.138	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.861	0.139	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.860	0.140	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.858	0.141	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.857	0.143	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.856	0.144	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.855	0.145	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.850	0.150	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.850	0.150	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.850	0.150	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.850	0.150	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.848	0.152	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.847	0.153	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.845	0.155	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.845	0.155	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	0.155	0.845
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.843	0.157	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.843	0.157	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.842	0.158	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.841	0.159	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.841	0.159	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.840	0.160	0.000
rs6684514 lBF = `2.53209` Chr`1` : `156,255,456`	0.000	0.162	0.838
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.837	0.163	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.837	0.163	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.836	0.164	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.836	0.164	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.834	0.166	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.832	0.168	0.000
rs13202464 lBF = `83.2155` Chr`6` : `31,344,583`	0.830	0.170	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.829	0.171	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.828	0.172	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.827	0.172	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.827	0.173	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.827	0.173	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.826	0.174	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.825	0.175	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.825	0.175	0.000
rs13198903 lBF = `81.2939` Chr`6` : `31,344,157`	0.821	0.179	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.820	0.180	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.819	0.181	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.817	0.183	0.000
rs114573401 lBF = `14.1938` Chr`6` : `31,192,383`	0.816	0.184	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.816	0.184	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.816	0.184	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.816	0.184	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.816	0.184	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.814	0.186	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.814	0.186	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.813	0.187	0.000
rs116564764 lBF = `16.14` Chr`3` : `162,298,640`	0.812	0.188	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.812	0.188	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.811	0.189	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.810	0.190	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.808	0.192	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.808	0.192	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.808	0.192	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.806	0.194	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.806	0.194	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.806	0.194	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.805	0.195	0.000
rs62414823 lBF = `7.58322` Chr`6` : `115,891,711`	0.805	0.195	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.804	0.196	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.804	0.196	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.803	0.197	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.801	0.199	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.800	0.200	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.797	0.203	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.797	0.203	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.796	0.203	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.796	0.204	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.795	0.205	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.793	0.207	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.793	0.207	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.792	0.208	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.791	0.209	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.789	0.211	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.789	0.211	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.788	0.212	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.788	0.212	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.787	0.213	0.000
rs34856868 lBF = `6.11916` Chr`1` : `92,554,283`	0.787	0.213	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.786	0.214	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.786	0.214	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.785	0.215	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.784	0.216	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.783	0.217	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.782	0.218	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.777	0.223	0.000
rs72660929 lBF = `14.2227` Chr`1` : `25,743,428`	0.776	0.224	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.774	0.226	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.774	0.226	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.772	0.228	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.771	0.229	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.771	0.229	0.000
rs55968350 lBF = `15.4456` Chr`3` : `126,904,733`	0.771	0.229	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.769	0.231	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.769	0.231	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.769	0.231	0.000
rs114963023 lBF = `14.7315` Chr`6` : `31,199,645`	0.769	0.231	0.000
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.768	0.232	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.768	0.232	0.000
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.768	0.232	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.766	0.234	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.766	0.234	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.763	0.237	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.763	0.237	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	0.239	0.761
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.760	0.240	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.759	0.241	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.758	0.242	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.757	0.243	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.757	0.243	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.755	0.245	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.754	0.246	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.752	0.248	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.751	0.249	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.751	0.249	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.751	0.249	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.750	0.250	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.749	0.251	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.000	0.253	0.747
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.745	0.255	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.744	0.256	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.744	0.256	0.000
rs9295984 lBF = `68.201` Chr`6` : `31,317,697`	0.743	0.257	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.742	0.258	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.740	0.260	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.740	0.260	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.739	0.261	0.000
rs114751866 lBF = `13.8639` Chr`6` : `31,210,018`	0.737	0.263	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.737	0.263	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.736	0.263	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.736	0.264	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.735	0.264	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.735	0.265	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.734	0.266	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.734	0.266	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.734	0.266	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.734	0.266	0.000
rs4839680 lBF = `1.36876` Chr`3` : `143,902,027`	0.733	0.267	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.733	0.267	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.733	0.267	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.732	0.268	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.731	0.268	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.731	0.269	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.731	0.269	0.000
rs114067101 lBF = `8.53644` Chr`6` : `32,457,960`	0.730	0.270	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.730	0.270	0.000
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rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.630	0.370	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.630	0.370	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.630	0.370	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.629	0.371	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.629	0.371	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.629	0.371	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	0.371	0.629
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.628	0.372	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.627	0.372	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	0.373	0.627
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.627	0.373	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.627	0.373	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.627	0.373	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.626	0.373	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.626	0.374	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.625	0.375	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.625	0.375	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.624	0.375	0.000
rs9978888 lBF = `8.12132` Chr`21` : `18,002,476`	0.624	0.376	0.000
rs79423523 lBF = `15.7536` Chr`2` : `58,673,886`	0.624	0.376	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.623	0.377	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.623	0.377	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.622	0.377	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.622	0.378	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.622	0.378	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.621	0.379	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.620	0.379	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.620	0.380	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.620	0.380	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.619	0.381	0.000
rs4685943 lBF = `1.3179` Chr`3` : `5,535,277`	0.618	0.381	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.618	0.382	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.618	0.382	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.618	0.382	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.618	0.382	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.618	0.382	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.617	0.383	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.614	0.386	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.614	0.386	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.614	0.386	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.613	0.387	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.612	0.388	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.612	0.388	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.612	0.388	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.612	0.388	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.612	0.388	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.612	0.388	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.611	0.389	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.610	0.390	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.610	0.390	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.610	0.390	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.609	0.391	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.608	0.392	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.608	0.392	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.608	0.392	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.607	0.393	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.607	0.393	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.606	0.394	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.605	0.395	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.605	0.395	0.000
rs56272623 lBF = `7.6017` Chr`1` : `28,840,940`	0.605	0.395	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.605	0.395	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.605	0.395	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.605	0.395	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.604	0.396	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.604	0.396	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.604	0.396	0.000
rs116493700 lBF = `2.86878` Chr`1` : `211,738,467`	0.603	0.396	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.603	0.397	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.602	0.398	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.602	0.398	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.602	0.398	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.602	0.398	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.601	0.399	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.601	0.399	0.000
rs17207986 lBF = `30.3956` Chr`6` : `32,079,567`	0.601	0.399	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.601	0.399	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.599	0.400	0.000
rs11155133 lBF = `6.4949` Chr`6` : `141,169,825`	0.599	0.401	0.000
rs41314643 lBF = `6.56273` Chr`1` : `183,255,908`	0.599	0.401	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.599	0.401	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.599	0.401	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.599	0.401	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.599	0.401	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.599	0.401	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.599	0.401	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.599	0.401	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.598	0.401	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.598	0.402	0.000
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.598	0.402	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.598	0.402	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.598	0.402	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.598	0.402	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.598	0.402	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.598	0.402	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.598	0.402	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.597	0.403	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.597	0.403	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.597	0.403	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

0.6820

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.3664

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0573

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0511

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9998

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9967

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9899

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9894

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9722

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9345

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9334

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9125

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9068

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8820

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8610

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8598

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8335

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8166

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7975

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7933

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7866

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7859

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7756

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7713

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7645

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7621

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7421

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7317

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7279

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7236

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7039

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6873

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6780

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6690

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6601

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6339

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6331

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6306

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6172

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6159

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6092

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6051

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5734

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5623

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5572

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5468

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5330

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5287

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5184

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5172

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5164

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5071

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4924

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4837

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4797

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4747

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4717

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4575

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4524

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4446

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4413

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4302

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4302

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4276

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4170

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4162

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4099

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4090

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4072

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4054

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4046

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4032

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4017

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4000

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3935

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3921

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3893

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3838

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3788

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3733

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3636

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3525

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3410

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3327

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3302

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3281

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3257

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3242

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3240

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3233

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3193

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3134

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3118

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3062

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2957

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2915

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2907

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2889

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2887

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2821

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2779

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2743

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2732

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2674

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2655

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2654

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2649

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2637

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2634

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2601

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2514

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2497

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2430

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2399

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2355

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2334

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2276

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2214

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2169

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2128

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2116

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2057

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2054

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2051

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2039

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2036

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2021

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2016

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1932

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1932

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1920

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1891

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1880

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1869

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1866

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1821

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1737

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1732

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1689

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1643

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1618

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1571

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1558

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1502

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1491

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1487

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1408

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1407

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1385

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1364

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1353

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1230

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1224

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1206

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1206

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1199

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1193

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.1175

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1144

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1136

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1126

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1105

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1053

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1045

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1041

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1021

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.0918

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0869

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0850

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0846

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0836

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0831

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0788

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0783

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0729

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0718

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0656

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0642

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0632

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0624

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0600

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0585

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`)