TreeWAS – [N28] Other disorders of kidney and ureter, not elsewhere classified

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

N28

Other disorders of kidney and ureter, not elsewhere classified

Parent term	N25-N29 Other disorders of kidney and ureter
Nested terms	N28.0 Ischaemia and infarction of kidney N28.1 Cyst of kidney, acquired N28.8 Other specified disorders of kidney and ureter N28.9 Disorder of kidney and ureter, unspecified

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Variant effects

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

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.988	0.012	0.000
rs507778 lBF = `74.1016` Chr`6` : `32,209,861`	0.986	0.014	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.986	0.014	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.984	0.016	0.000
rs416352 lBF = `74.5968` Chr`6` : `32,207,393`	0.983	0.017	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.981	0.019	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.979	0.021	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.978	0.022	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.977	0.023	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.977	0.023	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.971	0.029	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.968	0.032	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.967	0.033	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.966	0.034	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.963	0.037	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.963	0.037	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.962	0.038	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.958	0.042	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.957	0.043	0.000
rs17006842 lBF = `1.77826` Chr`3` : `70,259,702`	0.955	0.045	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.946	0.054	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.946	0.054	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.940	0.060	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.939	0.061	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.937	0.063	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.934	0.066	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.934	0.066	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.931	0.069	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.931	0.069	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.930	0.070	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.928	0.072	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.927	0.073	0.000
rs112634398 lBF = `2.25528` Chr`3` : `50,075,494`	0.927	0.073	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.926	0.074	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.925	0.075	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.925	0.075	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.924	0.076	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.921	0.079	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.919	0.081	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.919	0.081	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.919	0.081	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.918	0.082	0.000
rs1480383 lBF = `171.673` Chr`6` : `32,740,856`	0.918	0.082	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.918	0.082	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.916	0.084	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.916	0.084	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.916	0.084	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.916	0.084	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.915	0.085	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.913	0.087	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.913	0.087	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.911	0.089	0.000
rs7383606 lBF = `179.21` Chr`6` : `32,766,593`	0.911	0.089	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.911	0.089	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.910	0.090	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.910	0.090	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.910	0.090	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.908	0.092	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.906	0.094	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.904	0.096	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.902	0.098	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.902	0.098	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.902	0.098	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.900	0.100	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.900	0.100	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.899	0.101	0.000
rs7382714 lBF = `181.162` Chr`6` : `32,767,496`	0.898	0.102	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.895	0.105	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.895	0.105	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.893	0.107	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.893	0.107	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.893	0.107	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.893	0.107	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.890	0.110	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.889	0.111	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.888	0.112	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.887	0.113	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.887	0.113	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.886	0.114	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.885	0.115	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.884	0.116	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.883	0.117	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.883	0.117	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.883	0.117	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.882	0.118	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.881	0.119	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.881	0.119	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.880	0.120	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.878	0.122	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.877	0.123	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.877	0.123	0.000
rs6912002 lBF = `178.474` Chr`6` : `32,765,268`	0.877	0.123	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.877	0.123	0.000
rs7381376 lBF = `178.508` Chr`6` : `32,767,673`	0.876	0.124	0.000
rs9276734 lBF = `178.832` Chr`6` : `32,766,854`	0.876	0.124	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.875	0.125	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.875	0.125	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.875	0.125	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.875	0.125	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.874	0.126	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.872	0.128	0.000
rs71323034 lBF = `16.6347` Chr`3` : `31,072,353`	0.871	0.129	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.871	0.129	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.868	0.132	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.868	0.132	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.867	0.133	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.865	0.135	0.000
rs502055 lBF = `136.601` Chr`6` : `32,579,003`	0.864	0.136	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.863	0.137	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.863	0.137	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.862	0.138	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.860	0.140	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.860	0.140	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.860	0.140	0.000
rs9276726 lBF = `191.154` Chr`6` : `32,763,888`	0.859	0.141	0.000
rs17094900 lBF = `9.37016` Chr`1` : `74,648,408`	0.859	0.141	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.858	0.142	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.858	0.142	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.858	0.142	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.857	0.143	0.000
rs7382649 lBF = `178.914` Chr`6` : `32,776,087`	0.857	0.143	0.000
rs73727981 lBF = `257.099` Chr`6` : `32,511,791`	0.857	0.143	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.857	0.143	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.856	0.144	0.000
rs6902257 lBF = `8.36538` Chr`6` : `81,481,354`	0.856	0.144	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.855	0.145	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.854	0.146	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.854	0.146	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.854	0.146	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.853	0.147	0.000
rs71319465 lBF = `15.9195` Chr`21` : `29,795,538`	0.851	0.149	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.850	0.150	0.000
rs9271425 lBF = `129.757` Chr`6` : `32,587,923`	0.849	0.151	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.848	0.152	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.846	0.154	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.845	0.155	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.845	0.155	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.845	0.155	0.000
rs17167021 lBF = `4.28036` Chr`5` : `98,880,299`	0.843	0.157	0.000
rs12139703 lBF = `12.288` Chr`1` : `81,472,317`	0.842	0.158	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.842	0.158	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.839	0.161	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.839	0.161	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.839	0.161	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.838	0.162	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.838	0.162	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.837	0.163	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.836	0.164	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.836	0.164	0.000
rs181705462 lBF = `15.0141` Chr`6` : `31,947,027`	0.834	0.166	0.000
rs1383261 lBF = `177.515` Chr`6` : `32,765,451`	0.834	0.166	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.834	0.166	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.832	0.168	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.831	0.169	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.830	0.170	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.830	0.170	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.829	0.171	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.829	0.171	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.829	0.171	0.000
rs9271489 lBF = `91.561` Chr`6` : `32,589,051`	0.827	0.173	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.826	0.174	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.825	0.175	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.825	0.175	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.824	0.176	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.824	0.176	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.823	0.176	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.821	0.179	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.820	0.180	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.819	0.181	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.818	0.182	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.817	0.183	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.817	0.183	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.814	0.186	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.814	0.186	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.813	0.187	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.187	0.813
rs111945767 lBF = `255.895` Chr`6` : `32,517,045`	0.812	0.188	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.811	0.189	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.811	0.189	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.811	0.189	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.811	0.189	0.000
rs13137792 lBF = `5.15648` Chr`4` : `178,198,741`	0.810	0.190	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.809	0.191	0.000
rs6899857 lBF = `178.897` Chr`6` : `32,770,482`	0.808	0.192	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.808	0.192	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.807	0.193	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.806	0.194	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.806	0.194	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.805	0.195	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.805	0.195	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.805	0.195	0.000
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	0.804	0.196	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.803	0.197	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.802	0.198	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.801	0.199	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.800	0.200	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.800	0.200	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.800	0.200	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.799	0.201	0.000
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rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.696	0.304	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.696	0.304	0.000
rs3768321 lBF = `2.03114` Chr`1` : `40,035,928`	0.696	0.304	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.695	0.305	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.695	0.305	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.695	0.305	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.695	0.305	0.000
rs1003879 lBF = `218.353` Chr`6` : `32,299,592`	0.695	0.305	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.694	0.306	0.000
rs116775899 lBF = `12.2053` Chr`5` : `76,143,246`	0.694	0.306	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.693	0.307	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.693	0.307	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.692	0.308	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.691	0.309	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.691	0.309	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.691	0.309	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.690	0.310	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.690	0.310	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.690	0.310	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.689	0.311	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.689	0.311	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.689	0.311	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.689	0.311	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.689	0.311	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.688	0.311	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.688	0.312	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.688	0.312	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.687	0.313	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.686	0.314	0.000
rs11718454 lBF = `1.63354` Chr`3` : `1,964,639`	0.685	0.315	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.685	0.315	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.685	0.315	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.685	0.315	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.685	0.315	0.000
rs3117137 lBF = `112.986` Chr`6` : `32,309,911`	0.685	0.315	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.685	0.315	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.685	0.315	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.684	0.315	0.000
rs4660808 lBF = `1.09854` Chr`1` : `40,018,509`	0.684	0.316	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.684	0.316	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.684	0.316	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.683	0.316	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.683	0.317	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.683	0.317	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.683	0.317	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.683	0.317	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.683	0.317	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.682	0.318	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.681	0.319	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.681	0.319	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.681	0.319	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.681	0.319	0.000
rs412657 lBF = `242.2` Chr`6` : `32,211,085`	0.681	0.319	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.681	0.319	0.000
rs113512172 lBF = `16.4938` Chr`21` : `32,718,685`	0.680	0.320	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.680	0.320	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.680	0.320	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.679	0.321	0.000
rs9274253 lBF = `235.721` Chr`6` : `32,631,348`	0.679	0.321	0.000
rs150097632 lBF = `16.4138` Chr`21` : `40,688,518`	0.679	0.321	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.678	0.322	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.678	0.322	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.678	0.322	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.678	0.322	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.678	0.322	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.677	0.323	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.677	0.323	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.677	0.323	0.000
rs2157337 lBF = `230.266` Chr`6` : `32,501,144`	0.677	0.323	0.000
rs9274623 lBF = `234.77` Chr`6` : `32,635,998`	0.677	0.323	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.676	0.324	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.676	0.324	0.000
rs5004277 lBF = `99.9987` Chr`6` : `32,582,354`	0.676	0.324	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.676	0.324	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.676	0.324	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.675	0.325	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.674	0.326	0.000
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	0.326	0.674
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.674	0.326	0.000
rs6705628 lBF = `4.01162` Chr`2` : `74,208,362`	0.674	0.326	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.673	0.327	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.673	0.327	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.673	0.327	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.673	0.327	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.673	0.327	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.672	0.328	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.672	0.328	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.672	0.328	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.672	0.328	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.671	0.329	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.671	0.329	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.671	0.329	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.671	0.329	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.670	0.330	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.669	0.331	0.000
rs138315285 lBF = `8.90999` Chr`11` : `48,064,194`	0.669	0.331	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.669	0.331	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.668	0.332	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.668	0.332	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.8952

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2085

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9998

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9991

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9983

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9979

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9972

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9942

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9934

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9925

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9869

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9862

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9846

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9817

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9778

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9757

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9663

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9649

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9637

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9552

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9490

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9439

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9384

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9384

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9382

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9203

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9172

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9148

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8849

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8738

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8736

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8606

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8521

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8344

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8129

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7830

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7746

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7281

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7098

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7055

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7010

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6981

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6758

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6585

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6574

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6390

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6140

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6084

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5897

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5750

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5589

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5544

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5543

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5499

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5497

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5370

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5139

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5103

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5064

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4558

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4502

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4445

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4432

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4429

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4403

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4401

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4373

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4173

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4158

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4042

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4040

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4006

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3978

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3925

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3770

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3743

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3661

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3570

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3467

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3459

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3436

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3434

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3420

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3301

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3289

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3183

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.3081

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2973

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2913

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2841

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2841

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2808

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2774

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2650

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2631

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2586

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2388

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2304

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2298

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1960

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1854

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1790

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1781

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1778

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1746

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1736

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1698

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1355

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1316

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1303

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1236

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1225

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1139

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1098

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1097

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1078

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1076

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1071

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1066

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1048

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0971

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0969

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0947

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0891

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0881

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0870

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0865

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0865

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0847

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0845

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0839

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0824

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0814

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0795

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0791

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0790

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0775

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0736

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0717

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0706

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0703

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0696

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0682

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0671

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0576

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0565

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0560

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0543

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0538

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0518

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0510

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0506

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`)