TreeWAS – [R09] Other symptoms and signs involving the circulatory and respiratory systems

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R09

Other symptoms and signs involving the circulatory and respiratory systems

Parent term	R00-R09 Symptoms and signs involving the circulatory and respiratory systems
Nested terms	R09.0 Asphyxia R09.1 Pleurisy R09.2 Respiratory arrest R09.3 Abnormal sputum R09.8 Other specified symptoms and signs involving the circulatory and respiratory systems

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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
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.970	0.030	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.964	0.036	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.951	0.049	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.946	0.054	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.938	0.062	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.936	0.064	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.935	0.065	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.932	0.068	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.923	0.077	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.920	0.080	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.920	0.080	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.919	0.081	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.919	0.081	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.915	0.085	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.914	0.086	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.910	0.090	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.909	0.091	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.909	0.091	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.909	0.091	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.908	0.092	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.907	0.093	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.901	0.099	0.000
rs3117761 lBF = `17.5062` Chr`1` : `177,722,715`	0.900	0.100	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.900	0.100	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.898	0.102	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.895	0.105	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.892	0.108	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.891	0.109	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.889	0.111	0.000
rs78535563 lBF = `12.3274` Chr`6` : `12,397,127`	0.886	0.114	0.000
rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.885	0.115	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.884	0.116	0.000
rs115515529 lBF = `15.5561` Chr`1` : `64,169,850`	0.880	0.120	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.880	0.120	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.877	0.123	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.877	0.123	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.877	0.123	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.874	0.126	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.874	0.126	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.872	0.128	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.870	0.130	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.868	0.132	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.866	0.134	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.866	0.134	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.866	0.134	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.866	0.134	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.865	0.135	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.864	0.136	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.864	0.136	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.864	0.136	0.000
rs114733011 lBF = `42.2929` Chr`6` : `31,631,531`	0.864	0.136	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.864	0.136	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.863	0.137	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.861	0.139	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.861	0.139	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.861	0.139	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.860	0.140	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.859	0.141	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.859	0.141	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.859	0.141	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.857	0.143	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.857	0.143	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.857	0.143	0.000
rs115098315 lBF = `20.6403` Chr`6` : `32,100,225`	0.853	0.147	0.000
rs79758531 lBF = `13.2883` Chr`6` : `30,736,010`	0.853	0.147	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.851	0.149	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.851	0.149	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.850	0.150	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.848	0.152	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.847	0.153	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.847	0.153	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.847	0.153	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.846	0.154	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.846	0.154	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.846	0.154	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.846	0.154	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.846	0.154	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.845	0.155	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.845	0.155	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.844	0.156	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.844	0.156	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.843	0.157	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.843	0.157	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.842	0.158	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.842	0.158	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.840	0.160	0.000
rs113512172 lBF = `16.4938` Chr`21` : `32,718,685`	0.840	0.160	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.840	0.160	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.840	0.160	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.839	0.161	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.839	0.161	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.837	0.163	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.836	0.164	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.833	0.167	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.833	0.167	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.833	0.167	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.832	0.168	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.831	0.169	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.830	0.170	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.827	0.173	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.827	0.173	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.827	0.173	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.826	0.174	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.826	0.174	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.826	0.174	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.826	0.174	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.825	0.175	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.823	0.177	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.823	0.177	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.823	0.177	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.822	0.178	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.820	0.180	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.819	0.181	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.816	0.184	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.816	0.184	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.814	0.186	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.814	0.186	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.814	0.186	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.813	0.187	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.813	0.187	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.812	0.188	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.812	0.188	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.811	0.189	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.811	0.189	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.808	0.192	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.808	0.192	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.807	0.193	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.807	0.193	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.807	0.193	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.807	0.193	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.805	0.195	0.000
rs2301750 lBF = `22.9657` Chr`6` : `31,371,342`	0.805	0.195	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.804	0.196	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.803	0.197	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.801	0.199	0.000
rs73050577 lBF = `29.1953` Chr`3` : `23,853,409`	0.801	0.199	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.801	0.199	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.799	0.201	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.798	0.202	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.798	0.202	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.797	0.203	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.797	0.203	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.796	0.204	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.796	0.204	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.796	0.204	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.795	0.205	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.795	0.205	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.795	0.205	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.794	0.206	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.793	0.207	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.793	0.207	0.000
rs72753808 lBF = `20.4495` Chr`1` : `204,517,487`	0.791	0.209	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.791	0.209	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.789	0.211	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.789	0.211	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.787	0.213	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.787	0.213	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.786	0.214	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.784	0.216	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.783	0.217	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.782	0.218	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.781	0.219	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.780	0.220	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.780	0.220	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.780	0.220	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.779	0.221	0.000
Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.779	0.221	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.777	0.223	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.777	0.223	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.777	0.223	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.776	0.224	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.776	0.224	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.775	0.225	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.775	0.225	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.775	0.225	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.774	0.226	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.774	0.226	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.774	0.226	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.773	0.227	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.773	0.227	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.772	0.228	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.772	0.228	0.000
rs71319465 lBF = `15.9195` Chr`21` : `29,795,538`	0.772	0.228	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.770	0.230	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.770	0.230	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.770	0.230	0.000
rs11964556 lBF = `14.2163` Chr`6` : `30,736,360`	0.769	0.231	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.769	0.231	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.768	0.232	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.768	0.232	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.767	0.233	0.000
rs116097603 lBF = `14.706` Chr`1` : `228,888,217`	0.767	0.233	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.766	0.234	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.766	0.234	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.766	0.234	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.764	0.236	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.764	0.236	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.764	0.236	0.000
rs11963870 lBF = `14.0528` Chr`6` : `30,735,229`	0.764	0.236	0.000
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rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.672	0.328	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.672	0.328	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.671	0.329	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.671	0.329	0.000
rs148685782 lBF = `1.2183` Chr`4` : `155,533,035`	0.000	0.329	0.670
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.669	0.331	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.669	0.331	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.668	0.332	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.668	0.332	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.668	0.332	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.668	0.332	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.668	0.332	0.000
rs17036170 lBF = `4.42318` Chr`3` : `12,330,411`	0.667	0.333	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.667	0.333	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.666	0.334	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.666	0.334	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.666	0.334	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.666	0.334	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.665	0.335	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.664	0.335	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.664	0.336	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.664	0.336	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.664	0.336	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.663	0.337	0.000
rs115699453 lBF = `7.67843` Chr`1` : `156,827,703`	0.662	0.338	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.661	0.339	0.000
rs79682748 lBF = `17.0173` Chr`1` : `66,989,719`	0.660	0.340	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.659	0.341	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.658	0.342	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.658	0.342	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.658	0.342	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.658	0.342	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.657	0.343	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.657	0.343	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.655	0.345	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.654	0.346	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.653	0.347	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.652	0.348	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.652	0.348	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.651	0.349	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.650	0.350	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.650	0.350	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.648	0.352	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.648	0.352	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.647	0.353	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.647	0.353	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.646	0.354	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.646	0.354	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.645	0.354	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.645	0.355	0.000
rs74851542 lBF = `13.846` Chr`6` : `41,232,552`	0.645	0.355	0.000
rs77865213 lBF = `21.1258` Chr`1` : `67,198,843`	0.645	0.355	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.643	0.357	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.643	0.357	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.642	0.358	0.000
rs147028191 lBF = `2.41973` Chr`4` : `46,414,112`	0.641	0.359	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.641	0.359	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.641	0.359	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.641	0.359	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.640	0.359	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.640	0.360	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.640	0.360	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.640	0.360	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.639	0.361	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.639	0.361	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.639	0.361	0.000
rs12074980 lBF = `15.0721` Chr`1` : `184,636,516`	0.639	0.361	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.638	0.362	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.638	0.362	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.638	0.362	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.637	0.363	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.637	0.363	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.636	0.364	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.636	0.364	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.636	0.364	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.636	0.364	0.000
rs12067906 lBF = `4.52198` Chr`1` : `192,431,998`	0.636	0.364	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.636	0.364	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.636	0.364	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.636	0.364	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.636	0.364	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.635	0.365	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.634	0.366	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.633	0.366	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.633	0.367	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.632	0.367	0.000
rs76264265 lBF = `4.07118` Chr`1` : `37,309,390`	0.632	0.367	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.632	0.368	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.632	0.368	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.632	0.368	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.630	0.370	0.000
rs72955118 lBF = `14.2942` Chr`3` : `71,869,056`	0.630	0.370	0.000
rs16867713 lBF = `3.5914` Chr`5` : `15,783,500`	0.630	0.370	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.630	0.370	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.629	0.371	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.628	0.372	0.000
rs77780208 lBF = `5.21025` Chr`5` : `104,879,134`	0.626	0.373	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.626	0.374	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.626	0.374	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.625	0.375	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

0.6087

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9998

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9998

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9997

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9996

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9996

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9993

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9990

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9990

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9977

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9969

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9959

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9948

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9936

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9929

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9926

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9890

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9878

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9867

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9865

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9863

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9789

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9735

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9721

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9718

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9706

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9661

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9647

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9643

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9609

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9595

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9534

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9531

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9422

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9398

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9369

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9321

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9299

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9222

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9202

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9172

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8991

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8989

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8863

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8840

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8774

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8763

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8752

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8556

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8507

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8096

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7376

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7101

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7061

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6909

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6862

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6350

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6312

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6268

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6033

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6029

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5980

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5878

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5873

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5857

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5786

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4788

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3829

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3603

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3527

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3167

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3105

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3005

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2985

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2828

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2423

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2280

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2217

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2086

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1867

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1631

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1602

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1561

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1433

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1331

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1245

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1052

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1048

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0930

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0817

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0718

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0661

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0541

Cluster X0214

log Bayes Factor = 186.582

contains 8 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)

Hospitalization Episode Statistics (`HES`)