TreeWAS – [O34] Maternal care for known or suspected abnormality of pelvic organs

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.999	0.001	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	0.004	0.996
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.995	0.005	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.995	0.005	0.000
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.994	0.006	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.994	0.006	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.994	0.006	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.992	0.008	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.992	0.008	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.992	0.008	0.000
rs11952583 lBF = `2.33169` Chr`5` : `73,309,105`	0.991	0.009	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.990	0.010	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.990	0.010	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.989	0.011	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.989	0.011	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.987	0.013	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.986	0.014	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.986	0.014	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.986	0.014	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.985	0.015	0.000
rs72920755 lBF = `9.73099` Chr`2` : `55,993,809`	0.985	0.015	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.985	0.015	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.980	0.020	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.979	0.021	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.974	0.026	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.974	0.026	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.974	0.026	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.971	0.029	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.966	0.034	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.961	0.039	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.961	0.039	0.000
rs12410444 lBF = `1.56248` Chr`1` : `44,188,719`	0.960	0.040	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.960	0.040	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.959	0.041	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.959	0.041	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.958	0.042	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.956	0.044	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.955	0.045	0.000
rs9467626 lBF = `101.73` Chr`6` : `25,873,746`	0.953	0.047	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.953	0.047	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.952	0.048	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	0.050	0.950
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.949	0.051	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.949	0.051	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.948	0.052	0.000
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.948	0.052	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.947	0.053	0.000
rs7605378 lBF = `2.57393` Chr`2` : `200,676,926`	0.945	0.055	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.944	0.056	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.944	0.056	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.943	0.057	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.943	0.057	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.941	0.059	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.940	0.060	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.940	0.060	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.939	0.061	0.000
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.938	0.062	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.938	0.062	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.937	0.063	0.000
rs2910756 lBF = `1.50337` Chr`5` : `37,860,074`	0.937	0.063	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.935	0.065	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.934	0.066	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.933	0.067	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.933	0.067	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.933	0.067	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.932	0.068	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.932	0.068	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.930	0.070	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.930	0.070	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.929	0.071	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.929	0.071	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.929	0.071	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.928	0.072	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.927	0.073	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.927	0.073	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.926	0.074	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.926	0.074	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.925	0.075	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.925	0.075	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.925	0.075	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.924	0.076	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.923	0.077	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.921	0.079	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.919	0.081	0.000
rs9978888 lBF = `8.12132` Chr`21` : `18,002,476`	0.917	0.083	0.000
rs10484433 lBF = `93.7652` Chr`6` : `26,030,492`	0.917	0.083	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.917	0.083	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.917	0.083	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.916	0.084	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.916	0.084	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.915	0.085	0.000
rs2134039 lBF = `6.11532` Chr`12` : `101,928,424`	0.915	0.085	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.915	0.085	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.914	0.086	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.912	0.087	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.912	0.088	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.911	0.089	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.910	0.090	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.910	0.090	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.909	0.091	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.909	0.091	0.000
Affx-20583135 lBF = `9.49321` Chr`2` : `82,456,396`	0.000	0.092	0.908
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.907	0.093	0.000
rs16891235 lBF = `94.1744` Chr`6` : `26,017,542`	0.907	0.093	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.907	0.093	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.906	0.094	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.906	0.094	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.905	0.095	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.905	0.095	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.905	0.095	0.000
rs4839680 lBF = `1.36876` Chr`3` : `143,902,027`	0.905	0.095	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.903	0.097	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.903	0.097	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.902	0.098	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.902	0.098	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.902	0.098	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.098	0.902
rs6787231 lBF = `1.10831` Chr`3` : `20,957,810`	0.000	0.098	0.902
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.901	0.099	0.000
rs143954261 lBF = `3.1342` Chr`5` : `126,729,450`	0.901	0.099	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.901	0.099	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.901	0.099	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.899	0.101	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.898	0.102	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.898	0.102	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.897	0.103	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.897	0.103	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.897	0.103	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.897	0.103	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.897	0.103	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.896	0.104	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.896	0.104	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.896	0.104	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.894	0.106	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.894	0.106	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.892	0.108	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.892	0.108	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.891	0.109	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.890	0.110	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.890	0.110	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.889	0.111	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.888	0.112	0.000
rs72687965 lBF = `17.5275` Chr`1` : `114,073,152`	0.888	0.112	0.000
rs12566545 lBF = `5.07567` Chr`1` : `31,556,264`	0.000	0.112	0.888
rs13196552 lBF = `92.1189` Chr`6` : `25,974,204`	0.887	0.113	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.884	0.116	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.883	0.117	0.000
rs9284954 lBF = `1.46178` Chr`4` : `176,648,332`	0.882	0.118	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.000	0.119	0.881
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.880	0.120	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.879	0.121	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.878	0.122	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.878	0.122	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.876	0.124	0.000
rs13200797 lBF = `98.3608` Chr`6` : `26,122,957`	0.874	0.125	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.874	0.126	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.873	0.127	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.872	0.128	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.872	0.128	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.870	0.130	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.870	0.130	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.870	0.130	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.869	0.131	0.000
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.869	0.131	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.868	0.132	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.867	0.133	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.867	0.133	0.000
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.866	0.134	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.865	0.134	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.865	0.135	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.865	0.135	0.000
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.864	0.136	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.864	0.136	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.864	0.136	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.863	0.137	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.863	0.137	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.862	0.138	0.000
rs2585617 lBF = `4.35661` Chr`6` : `69,337,787`	0.862	0.138	0.000
rs12085650 lBF = `5.18612` Chr`1` : `31,490,096`	0.000	0.139	0.861
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.861	0.139	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.858	0.142	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.858	0.142	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.857	0.143	0.000
rs12127944 lBF = `1.82396` Chr`1` : `205,483,595`	0.856	0.144	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.855	0.145	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.855	0.145	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.855	0.145	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.854	0.146	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.854	0.146	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.854	0.146	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.854	0.146	0.000
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.853	0.147	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.853	0.147	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.853	0.147	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.852	0.148	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.851	0.149	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.850	0.150	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.850	0.150	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.850	0.150	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.849	0.151	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.849	0.151	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.848	0.152	0.000
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rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.759	0.240	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.759	0.241	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.759	0.241	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.759	0.241	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.759	0.241	0.000
rs12039519 lBF = `3.41232` Chr`1` : `161,953,400`	0.757	0.243	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.756	0.244	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.755	0.245	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.755	0.245	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.754	0.246	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.753	0.247	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.753	0.247	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.752	0.248	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.751	0.249	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.751	0.249	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.751	0.249	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.751	0.249	0.000
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.750	0.250	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.750	0.250	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.750	0.250	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.750	0.250	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.748	0.252	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.748	0.252	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.747	0.253	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.746	0.254	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.746	0.254	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.746	0.254	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.746	0.254	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.746	0.254	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.745	0.255	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.744	0.256	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.744	0.256	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.743	0.256	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.743	0.257	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.743	0.257	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.743	0.257	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.742	0.258	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.742	0.258	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.742	0.258	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.742	0.258	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.742	0.258	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.740	0.260	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.739	0.261	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.739	0.261	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.739	0.261	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.739	0.261	0.000
rs1320333 lBF = `0.774822` Chr`2` : `679,179`	0.739	0.261	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.738	0.262	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.738	0.262	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.737	0.263	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.736	0.264	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.736	0.264	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.736	0.264	0.000
rs13198716 lBF = `173.951` Chr`6` : `26,582,035`	0.735	0.265	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.735	0.265	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.735	0.265	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.735	0.265	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.734	0.266	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.734	0.266	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.733	0.267	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.733	0.267	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.733	0.267	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.732	0.268	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.732	0.268	0.000
rs55645543 lBF = `0.723336` Chr`4` : `122,607,178`	0.732	0.268	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.732	0.268	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.732	0.268	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.732	0.268	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.732	0.268	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.732	0.268	0.000
rs1910003 lBF = `1.03173` Chr`5` : `125,304,547`	0.732	0.268	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.731	0.269	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.731	0.269	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.731	0.269	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.731	0.269	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.731	0.269	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.730	0.270	0.000
rs114067101 lBF = `8.53644` Chr`6` : `32,457,960`	0.730	0.270	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.729	0.271	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.729	0.271	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.729	0.271	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.729	0.271	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.729	0.271	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.729	0.271	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.728	0.272	0.000
rs77382928 lBF = `9.24275` Chr`1` : `49,988,835`	0.728	0.272	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.728	0.272	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.727	0.273	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.727	0.273	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.727	0.273	0.000
rs35292876 lBF = `4.20174` Chr`1` : `196,706,642`	0.726	0.274	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.726	0.274	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.725	0.275	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.724	0.276	0.000
rs45533135 lBF = `73.6781` Chr`6` : `31,430,951`	0.724	0.276	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.724	0.276	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.723	0.277	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.723	0.277	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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.9998

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5515

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

1.0000

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

1.0000

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

1.0000

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

1.0000

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9996

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9995

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9994

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9982

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9975

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9969

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9947

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9915

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9885

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9849

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9811

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9809

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9786

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9775

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9769

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9749

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9726

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9726

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9725

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9710

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9696

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9690

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9671

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9650

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9617

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9600

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9588

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9585

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9461

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9397

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9384

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9380

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9334

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9296

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9206

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9200

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9181

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9074

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9021

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8891

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8863

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8859

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8851

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8826

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8815

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8805

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8779

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8661

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8650

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8506

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8475

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8475

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8430

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8421

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8403

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8317

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8268

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8229

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8204

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8145

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8098

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8097

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7983

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7959

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7936

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7914

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7913

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7828

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7827

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7740

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7729

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7714

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7604

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7567

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7537

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7420

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7383

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7243

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7217

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7200

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7173

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6826

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6797

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6727

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6672

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6584

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6547

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6539

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6535

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6504

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6455

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6453

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6442

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6431

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6419

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6417

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6402

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6368

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6295

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6240

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6157

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6105

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6075

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6045

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6013

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6002

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5955

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5949

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5934

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5860

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5794

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5792

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5708

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5633

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5569

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5568

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5469

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5463

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5460

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5430

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5416

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5373

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5257

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5252

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5209

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5129

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5112

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5089

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5018

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5005

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5003

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4988

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4939

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4813

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4747

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4733

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4652

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4628

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4566

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4469

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4367

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4326

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4277

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4183

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4081

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4076

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4055

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3930

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3924

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3817

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3728

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3264

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3064

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3031

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2761

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2696

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2690

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1726

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1663

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1617

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1598

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1580

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1534

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1517

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1415

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1054

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0996

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0955

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0841

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0784

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0669

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0654

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0577

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0575

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0559

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0522

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)