TreeWAS – [I51.0] Cardiac septal defect, acquired

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
rs6900627 lBF = `6.58124` Chr`6` : `22,570,245`	0.932	0.068	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.881	0.119	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.848	0.152	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.845	0.155	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.835	0.165	0.000
rs3766823 lBF = `11.995` Chr`1` : `32,197,257`	0.833	0.167	0.000
rs17750460 lBF = `8.95898` Chr`21` : `30,745,615`	0.818	0.182	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.805	0.195	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.804	0.196	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.803	0.197	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.802	0.198	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.801	0.199	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.794	0.206	0.000
rs17744121 lBF = `5.69352` Chr`21` : `30,713,598`	0.792	0.208	0.000
rs12570824 lBF = `7.11255` Chr`10` : `65,730,654`	0.792	0.208	0.000
rs6679677 lBF = `148.434` Chr`1` : `114,303,808`	0.792	0.208	0.000
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.788	0.212	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.787	0.213	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.783	0.217	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.783	0.217	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.780	0.220	0.000
rs41302673 lBF = `38.6908` Chr`9` : `136,270,538`	0.778	0.222	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.778	0.222	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.777	0.223	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.776	0.224	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.776	0.224	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.775	0.225	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.775	0.225	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.773	0.227	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.773	0.227	0.000
rs11244084 lBF = `22.0558` Chr`9` : `136,191,010`	0.772	0.228	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.771	0.229	0.000
rs2039631 lBF = `5.35076` Chr`1` : `9,068,020`	0.771	0.229	0.000
rs2476601 lBF = `151.016` Chr`1` : `114,377,568`	0.766	0.233	0.000
rs35556400 lBF = `5.60225` Chr`1` : `95,916,885`	0.000	0.234	0.766
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.761	0.239	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.761	0.239	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.760	0.239	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.760	0.239	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.760	0.240	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.760	0.240	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.759	0.241	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.759	0.241	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.757	0.243	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.756	0.244	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.756	0.244	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.753	0.247	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.750	0.250	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.747	0.253	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.745	0.255	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.743	0.257	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.742	0.258	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.742	0.258	0.000
rs495828 lBF = `133.813` Chr`9` : `136,154,867`	0.741	0.259	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.740	0.260	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.739	0.261	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.739	0.261	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.739	0.261	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.739	0.261	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.261	0.739
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.738	0.262	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.737	0.263	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.737	0.263	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.737	0.263	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.737	0.263	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.736	0.264	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.736	0.264	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.736	0.264	0.000
rs10514718 lBF = `1.82647` Chr`3` : `61,413,814`	0.736	0.264	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.735	0.265	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.733	0.267	0.000
rs2857709 lBF = `104.056` Chr`6` : `31,532,814`	0.000	0.269	0.731
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.730	0.270	0.000
rs3130071 lBF = `117.396` Chr`6` : `31,594,628`	0.000	0.270	0.730
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.728	0.272	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.728	0.272	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.727	0.273	0.000
rs73008782 lBF = `8.48892` Chr`6` : `145,689,914`	0.727	0.273	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.725	0.275	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.725	0.275	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.722	0.278	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.721	0.279	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.721	0.279	0.000
rs72938048 lBF = `8.33195` Chr`6` : `100,389,267`	0.721	0.279	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.717	0.283	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.717	0.283	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.717	0.283	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.716	0.283	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.716	0.283	0.000
rs77170649 lBF = `7.49398` Chr`6` : `135,010,546`	0.716	0.284	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.716	0.284	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.716	0.284	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.715	0.285	0.000
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.715	0.285	0.000
rs13210382 lBF = `7.7697` Chr`6` : `18,326,873`	0.715	0.285	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.715	0.285	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.714	0.285	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.714	0.286	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.714	0.286	0.000
rs76295380 lBF = `6.62984` Chr`5` : `159,424,526`	0.714	0.286	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.714	0.286	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.714	0.286	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.713	0.287	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.713	0.287	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.713	0.287	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.712	0.287	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.712	0.287	0.000
rs9471075 lBF = `4.59465` Chr`6` : `39,307,032`	0.712	0.287	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.712	0.288	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.712	0.288	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.712	0.288	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.711	0.289	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.711	0.289	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.711	0.289	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.711	0.289	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.710	0.289	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.710	0.289	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.710	0.290	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.710	0.290	0.000
rs117593948 lBF = `12.1272` Chr`6` : `110,245,200`	0.710	0.290	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.710	0.290	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.710	0.290	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.710	0.290	0.000
rs56158183 lBF = `4.44665` Chr`2` : `60,632,924`	0.000	0.290	0.710
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.710	0.290	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.710	0.290	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.710	0.290	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.709	0.291	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.709	0.291	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.709	0.291	0.000
rs3918226 lBF = `61.7604` Chr`7` : `150,690,176`	0.709	0.291	0.000
rs12214416 lBF = `11.1563` Chr`6` : `160,910,517`	0.000	0.291	0.709
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.708	0.291	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.708	0.292	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.708	0.292	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.708	0.292	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.708	0.292	0.000
rs74617384 lBF = `405.131` Chr`6` : `160,997,118`	0.708	0.292	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.708	0.292	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.708	0.292	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.708	0.292	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.707	0.293	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.707	0.293	0.000
rs4450776 lBF = `1.99273` Chr`3` : `111,423,129`	0.707	0.293	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.707	0.293	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.707	0.293	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.707	0.293	0.000
rs10490871 lBF = `6.36422` Chr`3` : `35,667,761`	0.707	0.293	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.707	0.293	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.706	0.293	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	0.706	0.294	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.706	0.294	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.706	0.294	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.706	0.294	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.706	0.294	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.705	0.295	0.000
rs17024393 lBF = `12.9062` Chr`1` : `110,154,688`	0.705	0.295	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.705	0.295	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.705	0.295	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.705	0.295	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.705	0.295	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.705	0.295	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.705	0.295	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.705	0.295	0.000
rs17024258 lBF = `12.5991` Chr`1` : `110,147,321`	0.704	0.295	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.704	0.295	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.704	0.296	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.704	0.296	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.703	0.297	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.703	0.297	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.703	0.297	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.702	0.297	0.000
rs17042081 lBF = `59.9223` Chr`4` : `111,653,211`	0.702	0.297	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.702	0.298	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.702	0.298	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.702	0.298	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.702	0.298	0.000
rs7550711 lBF = `14.669` Chr`1` : `110,082,886`	0.702	0.298	0.000
rs659112 lBF = `11.7339` Chr`1` : `39,270,873`	0.702	0.298	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.702	0.298	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.702	0.298	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.702	0.298	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.701	0.298	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.701	0.299	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.701	0.299	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.701	0.299	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.701	0.299	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.701	0.299	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.700	0.299	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.700	0.300	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.700	0.300	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.699	0.301	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.699	0.301	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.698	0.302	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.698	0.302	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.698	0.302	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.698	0.302	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.698	0.302	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.698	0.302	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.698	0.302	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.697	0.303	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.697	0.303	0.000
rs3002141 lBF = `11.4412` Chr`1` : `222,787,302`	0.000	0.303	0.697
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rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.661	0.339	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.661	0.339	0.000
rs2736177 lBF = `114.154` Chr`6` : `31,586,094`	0.000	0.339	0.661
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.661	0.339	0.000
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.661	0.339	0.000
rs72687965 lBF = `17.5275` Chr`1` : `114,073,152`	0.661	0.339	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.661	0.339	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.661	0.339	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.661	0.339	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.660	0.339	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.660	0.339	0.000
rs41272114 lBF = `9.8013` Chr`6` : `161,006,077`	0.000	0.340	0.660
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.660	0.340	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.660	0.340	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.660	0.340	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.659	0.341	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.659	0.341	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.659	0.341	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.659	0.341	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.659	0.341	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.659	0.341	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.658	0.341	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.658	0.342	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.658	0.342	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.658	0.342	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.657	0.343	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.657	0.343	0.000
rs2936051 lBF = `12.3071` Chr`1` : `222,803,204`	0.000	0.343	0.657
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.657	0.343	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.657	0.343	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.656	0.344	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.656	0.344	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.656	0.344	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.656	0.344	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.656	0.344	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.656	0.344	0.000
rs190548655 lBF = `14.709` Chr`3` : `45,388,151`	0.656	0.344	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.655	0.344	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.655	0.345	0.000
rs17650401 lBF = `1.7716` Chr`4` : `24,375,833`	0.000	0.345	0.655
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.655	0.345	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.655	0.345	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.655	0.345	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.655	0.345	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.654	0.346	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.654	0.346	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.654	0.346	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.654	0.346	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.654	0.346	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.654	0.346	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.654	0.346	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.654	0.346	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.654	0.346	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.654	0.346	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.653	0.347	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.653	0.347	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.653	0.347	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.653	0.347	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.652	0.348	0.000
rs181741409 lBF = `4.98731` Chr`6` : `45,157,786`	0.652	0.348	0.000
rs4962153 lBF = `50.9657` Chr`9` : `136,323,754`	0.652	0.348	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.652	0.348	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.652	0.348	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.652	0.348	0.000
rs113173951 lBF = `6.15041` Chr`1` : `27,877,418`	0.000	0.348	0.651
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.651	0.349	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.651	0.349	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.651	0.349	0.000
rs3798305 lBF = `1.4473` Chr`6` : `167,363,473`	0.651	0.349	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.651	0.349	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.651	0.349	0.000
rs2234962 lBF = `5.7409` Chr`10` : `121,429,633`	0.000	0.349	0.651
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.651	0.349	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.650	0.349	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.650	0.349	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.650	0.350	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.650	0.350	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.650	0.350	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.650	0.350	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.350	0.650
rs35615859 lBF = `14.2527` Chr`1` : `49,057,717`	0.650	0.350	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.649	0.351	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.649	0.351	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.649	0.351	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.649	0.351	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.648	0.352	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.647	0.352	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.647	0.353	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.647	0.353	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.646	0.354	0.000
rs183120114 lBF = `17.345` Chr`6` : `31,352,678`	0.646	0.354	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.646	0.354	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.646	0.354	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.646	0.354	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.645	0.355	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 X0090

log Bayes Factor = 11.7172

contains 2 variants

0.7899

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3638

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.2678

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2392

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9689

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9451

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9418

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9240

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9116

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9115

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9065

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9058

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9021

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8886

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8875

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8825

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8593

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8580

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8562

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8479

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.8375

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8372

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8349

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8337

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8255

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8254

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8240

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8181

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8130

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8129

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8052

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8051

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8032

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8014

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8010

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7885

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7803

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7770

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7764

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7694

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7665

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7604

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7499

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7467

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7460

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7413

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7335

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7293

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7260

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7169

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7168

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7167

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7167

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7164

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7163

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7154

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7148

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7145

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7138

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7125

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7125

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7045

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6948

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6941

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6845

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6827

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6792

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6787

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6733

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6638

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6577

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6559

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6555

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6545

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6500

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6498

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6458

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6268

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6191

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6178

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6150

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6027

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6009

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5979

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.5904

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5738

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.5603

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5593

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5546

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5500

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.5395

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.5300

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5112

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4835

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4778

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4723

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4653

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4552

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4340

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4315

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4244

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4199

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4096

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3839

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3749

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3548

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3542

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3479

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3323

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3281

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3192

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3039

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2935

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2918

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2724

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2673

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2593

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2566

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2317

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2299

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2282

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2153

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1783

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1779

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1605

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1589

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1567

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1563

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1561

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1511

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1455

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1455

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1420

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1229

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1123

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1056

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0968

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0963

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0950

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0906

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0861

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0836

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0768

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0735

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0685

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0656

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0650

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0640

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0576

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0549

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0537

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`)