TreeWAS – [O20] Haemorrhage in early pregnancy

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

O20

Haemorrhage in early pregnancy

Parent term	O20-O29 Other maternal disorders predominantly related to pregnancy
Nested terms	O20.0 Threatened abortion O20.8 Other haemorrhage in early pregnancy O20.9 Haemorrhage in early 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
rs1992284 lBF = `5.12033` Chr`2` : `43,065,555`	0.999	0.001	0.000
rs72660931 lBF = `10.5803` Chr`1` : `25,752,282`	0.995	0.005	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.991	0.009	0.000
rs72660956 lBF = `14.4052` Chr`1` : `25,800,018`	0.990	0.010	0.000
rs72660929 lBF = `14.2227` Chr`1` : `25,743,428`	0.987	0.013	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.984	0.016	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.983	0.017	0.000
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.981	0.019	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.974	0.026	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.973	0.027	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.970	0.030	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.969	0.031	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.969	0.031	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.968	0.032	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.966	0.034	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.962	0.038	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.000	0.038	0.962
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.961	0.039	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.960	0.040	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.958	0.042	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.956	0.044	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.948	0.052	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.946	0.054	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.946	0.054	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.942	0.058	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.939	0.061	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.939	0.061	0.000
rs17564315 lBF = `2.57146` Chr`2` : `19,958,496`	0.000	0.062	0.938
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.937	0.063	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.937	0.063	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.936	0.064	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.931	0.069	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.931	0.069	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.931	0.069	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.926	0.074	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.926	0.074	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.924	0.076	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.920	0.080	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.917	0.083	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.917	0.083	0.000
rs3172494 lBF = `6.58272` Chr`3` : `48,731,487`	0.917	0.083	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.916	0.084	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.913	0.087	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.912	0.088	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.912	0.088	0.000
rs11952583 lBF = `2.33169` Chr`5` : `73,309,105`	0.909	0.091	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.909	0.091	0.000
rs3850579 lBF = `2.85178` Chr`5` : `141,864,373`	0.000	0.093	0.907
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.906	0.094	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.905	0.095	0.000
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.901	0.099	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.897	0.103	0.000
rs2290159 lBF = `1.06203` Chr`3` : `12,628,920`	0.000	0.104	0.896
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.895	0.105	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.895	0.105	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.894	0.106	0.000
rs3756407 lBF = `7.30388` Chr`5` : `10,701,514`	0.893	0.107	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.891	0.109	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.891	0.109	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.890	0.110	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.888	0.112	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.887	0.113	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.886	0.114	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.886	0.114	0.000
rs12135062 lBF = `5.99481` Chr`1` : `3,103,312`	0.886	0.114	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.885	0.115	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.884	0.116	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.883	0.117	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.882	0.118	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.881	0.119	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.880	0.120	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.879	0.121	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.878	0.122	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.878	0.122	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.876	0.124	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.876	0.124	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.875	0.125	0.000
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	0.874	0.125	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.874	0.126	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.873	0.127	0.000
rs7782376 lBF = `1.74258` Chr`7` : `116,577,124`	0.869	0.131	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.867	0.133	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.867	0.133	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.865	0.135	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.865	0.135	0.000
rs12721025 lBF = `1.60152` Chr`11` : `116,706,047`	0.000	0.136	0.864
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.863	0.137	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.863	0.137	0.000
rs9978888 lBF = `8.12132` Chr`21` : `18,002,476`	0.857	0.143	0.000
rs77382928 lBF = `9.24275` Chr`1` : `49,988,835`	0.857	0.143	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.857	0.143	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.855	0.145	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.855	0.145	0.000
rs7964407 lBF = `0.858826` Chr`12` : `28,192,989`	0.000	0.146	0.854
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.853	0.147	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.850	0.150	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.850	0.150	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.850	0.150	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.849	0.151	0.000
rs2585617 lBF = `4.35661` Chr`6` : `69,337,787`	0.848	0.152	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.848	0.152	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.848	0.152	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.847	0.153	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.847	0.153	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.846	0.154	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.846	0.154	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.843	0.157	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.842	0.158	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.842	0.158	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.839	0.161	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.838	0.162	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.837	0.162	0.000
rs7934606 lBF = `1.05686` Chr`11` : `1,093,945`	0.000	0.164	0.836
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.835	0.165	0.000
rs74088517 lBF = `6.49283` Chr`14` : `97,195,171`	0.834	0.166	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.833	0.166	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.833	0.167	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.832	0.168	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.830	0.170	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.830	0.170	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.830	0.170	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.830	0.170	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.829	0.171	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.829	0.171	0.000
rs73002470 lBF = `12.3392` Chr`6` : `149,403,297`	0.828	0.172	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.827	0.173	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.825	0.175	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.824	0.176	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.824	0.176	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.823	0.177	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.823	0.177	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.819	0.181	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.819	0.181	0.000
rs9666585 lBF = `10.3192` Chr`11` : `9,235,473`	0.817	0.183	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.817	0.183	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.816	0.184	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.815	0.185	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.815	0.185	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.814	0.186	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.813	0.186	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.811	0.189	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.810	0.190	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.810	0.190	0.000
rs11230874 lBF = `4.32584` Chr`11` : `61,795,586`	0.810	0.190	0.000
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.810	0.190	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.809	0.191	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.809	0.191	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.809	0.191	0.000
rs10511052 lBF = `1.92327` Chr`3` : `76,725,903`	0.809	0.191	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.808	0.192	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.808	0.192	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.808	0.192	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.808	0.192	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.808	0.192	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.807	0.193	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.805	0.195	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.804	0.196	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.804	0.196	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.804	0.196	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.804	0.196	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.803	0.197	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.803	0.197	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.802	0.198	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.801	0.199	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.801	0.199	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.801	0.199	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.800	0.200	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.200	0.800
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.800	0.200	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.799	0.201	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.799	0.201	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.798	0.202	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.798	0.202	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.796	0.204	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.795	0.205	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.794	0.205	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.794	0.206	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.793	0.207	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.791	0.208	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.791	0.209	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.790	0.210	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.790	0.210	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.789	0.211	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.787	0.213	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.787	0.213	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.786	0.214	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.786	0.214	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.784	0.216	0.000
rs73138705 lBF = `14.0343` Chr`3` : `85,470,361`	0.783	0.217	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.783	0.217	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.782	0.218	0.000
rs34856868 lBF = `6.11916` Chr`1` : `92,554,283`	0.782	0.218	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.780	0.220	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.780	0.220	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.779	0.221	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.778	0.222	0.000
rs2134039 lBF = `6.11532` Chr`12` : `101,928,424`	0.778	0.222	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.778	0.222	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.776	0.224	0.000
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rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.690	0.310	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.690	0.310	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.689	0.311	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.689	0.311	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.689	0.311	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.689	0.311	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	0.312	0.688
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.688	0.312	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.688	0.312	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.688	0.312	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.688	0.312	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.688	0.312	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.687	0.312	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.687	0.313	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.686	0.314	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.686	0.314	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.686	0.314	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.685	0.315	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.684	0.316	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.684	0.316	0.000
rs74122470 lBF = `16.4357` Chr`1` : `158,740,990`	0.684	0.316	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.683	0.316	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.683	0.317	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.683	0.317	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.683	0.317	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.682	0.318	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.682	0.318	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.682	0.318	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.682	0.318	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.681	0.319	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.681	0.319	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.681	0.319	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.681	0.319	0.000
rs181741409 lBF = `4.98731` Chr`6` : `45,157,786`	0.680	0.320	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.680	0.320	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.679	0.321	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.679	0.321	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.679	0.321	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.678	0.322	0.000
rs7521578 lBF = `17.1428` Chr`1` : `158,736,201`	0.678	0.322	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.678	0.322	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.678	0.322	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.677	0.323	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.676	0.324	0.000
rs16867713 lBF = `3.5914` Chr`5` : `15,783,500`	0.676	0.324	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.676	0.324	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.676	0.324	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.675	0.324	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.675	0.325	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.675	0.325	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.675	0.325	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.674	0.326	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.674	0.326	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.674	0.326	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.674	0.326	0.000
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.674	0.326	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.673	0.327	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.673	0.327	0.000
rs4418214 lBF = `126.263` Chr`6` : `31,391,401`	0.672	0.328	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.672	0.328	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.672	0.328	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.671	0.329	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.671	0.329	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.671	0.329	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.671	0.329	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.671	0.329	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.670	0.330	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.670	0.330	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.669	0.331	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.669	0.331	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.669	0.331	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.669	0.331	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.668	0.332	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.667	0.333	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.667	0.333	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.666	0.333	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.666	0.334	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.666	0.334	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.666	0.334	0.000
rs114266608 lBF = `12.9331` Chr`3` : `7,233,078`	0.666	0.334	0.000
rs3819299 lBF = `73.6171` Chr`6` : `31,322,367`	0.665	0.335	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.665	0.335	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.664	0.336	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.664	0.336	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.663	0.337	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.663	0.337	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.662	0.337	0.000
rs78501510 lBF = `12.4829` Chr`6` : `10,834,641`	0.662	0.338	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.662	0.338	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.662	0.338	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.662	0.338	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.662	0.338	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.661	0.338	0.000
rs1081575 lBF = `12.1523` Chr`3` : `101,624,854`	0.661	0.339	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.661	0.339	0.000
rs116434694 lBF = `8.6061` Chr`1` : `203,335,188`	0.661	0.339	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.661	0.339	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.661	0.339	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.661	0.339	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.660	0.340	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

0.7544

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.0999

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

1.0000

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9949

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9910

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9842

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9792

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9748

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9737

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9701

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9680

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9652

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9602

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9535

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9469

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9450

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9404

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9400

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9314

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9284

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9056

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9036

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8964

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8907

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.8817

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8813

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8800

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8770

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8745

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8352

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8272

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8155

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8119

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8035

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.8023

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8004

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7921

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7920

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7915

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7875

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7814

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7781

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7723

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7700

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7649

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7574

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7513

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7504

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7337

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6938

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6835

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6779

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6591

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6573

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6540

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6497

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6257

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6201

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6182

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6161

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6137

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6093

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6043

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5946

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5921

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5881

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5799

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5745

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5731

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5695

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5694

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5551

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5549

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5476

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5441

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5432

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5422

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5115

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5106

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5077

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5045

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4963

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4858

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4806

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4683

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4573

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4521

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4484

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4456

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4450

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4359

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4329

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4278

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4223

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4121

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4116

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4086

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4077

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4038

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3966

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3933

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3908

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3891

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3875

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3846

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3798

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3782

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3734

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3679

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3651

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3478

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3459

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3398

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3360

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3337

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3326

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3280

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3264

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3250

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3222

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3218

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3205

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3180

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3126

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3110

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3055

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3054

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3053

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2697

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2676

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2657

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2655

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2632

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2610

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2568

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2543

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2516

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2437

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2422

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2379

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2377

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2353

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2334

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2311

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2268

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2218

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2168

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2164

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2150

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2123

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2117

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2098

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1909

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1897

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1835

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1777

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1750

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1745

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1732

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1717

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1708

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1696

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1658

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1632

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1611

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1600

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1561

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1525

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1520

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1470

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1431

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1369

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1368

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1360

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1275

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1197

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1058

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1032

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0970

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0881

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0701

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0671

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0671

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0660

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0656

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0610

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0589

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0586

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`)