TreeWAS – [K05] Gingivitis and periodontal diseases

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K05

Gingivitis and periodontal diseases

Parent term	K00-K14 Diseases of oral cavity, salivary glands and jaws
Nested terms	K05.0 Acute gingivitis K05.1 Chronic gingivitis K05.3 Chronic periodontitis K05.4 Periodontosis K05.5 Other periodontal diseases K05.6 Periodontal disease, unspecified K05.2 Acute periodontitis

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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
rs1925690 lBF = `2.6467` Chr`6` : `87,867,063`	0.984	0.016	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.943	0.057	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.938	0.062	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.919	0.081	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.911	0.089	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.905	0.095	0.000
rs114771627 lBF = `15.3109` Chr`3` : `107,564,852`	0.902	0.098	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.901	0.099	0.000
rs2299851 lBF = `25.8886` Chr`6` : `31,718,602`	0.898	0.102	0.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.102	0.898
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.896	0.104	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.895	0.105	0.000
rs79237515 lBF = `4.93995` Chr`1` : `194,549,026`	0.895	0.105	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.893	0.107	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.891	0.109	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.891	0.109	0.000
rs138325697 lBF = `2.99756` Chr`1` : `194,689,514`	0.875	0.125	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.871	0.129	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.869	0.131	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.867	0.133	0.000
rs17094900 lBF = `9.37016` Chr`1` : `74,648,408`	0.864	0.136	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.863	0.137	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.861	0.139	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.861	0.139	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.861	0.139	0.000
rs72944217 lBF = `9.75405` Chr`6` : `112,168,187`	0.860	0.140	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.858	0.142	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.857	0.143	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.857	0.143	0.000
rs77865213 lBF = `21.1258` Chr`1` : `67,198,843`	0.857	0.143	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.856	0.144	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.855	0.145	0.000
rs74122470 lBF = `16.4357` Chr`1` : `158,740,990`	0.854	0.146	0.000
rs7521578 lBF = `17.1428` Chr`1` : `158,736,201`	0.854	0.146	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.854	0.146	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.853	0.147	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.850	0.150	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.849	0.151	0.000
rs11088859 lBF = `14.6883` Chr`21` : `22,689,344`	0.848	0.151	0.000
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.846	0.154	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.846	0.154	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.846	0.154	0.000
rs1539454 lBF = `14.3346` Chr`1` : `219,983,780`	0.844	0.156	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.842	0.158	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.841	0.159	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.840	0.160	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.840	0.160	0.000
rs2523503 lBF = `34.5631` Chr`6` : `31,513,559`	0.839	0.161	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.838	0.162	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.838	0.162	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.837	0.163	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.834	0.166	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.832	0.168	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.831	0.169	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.831	0.169	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.831	0.169	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.830	0.170	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.829	0.171	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.828	0.172	0.000
rs1265083 lBF = `24.1513` Chr`6` : `31,111,347`	0.827	0.173	0.000
rs2517456 lBF = `17.2828` Chr`6` : `31,059,825`	0.827	0.173	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.827	0.173	0.000
rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.826	0.174	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.825	0.175	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.825	0.175	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.825	0.175	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.825	0.175	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.825	0.175	0.000
rs7757496 lBF = `23.0627` Chr`6` : `31,780,235`	0.824	0.176	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.823	0.177	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.822	0.178	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.821	0.179	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.821	0.179	0.000
rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.821	0.179	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.821	0.179	0.000
rs364786 lBF = `23.3372` Chr`6` : `31,144,291`	0.821	0.179	0.000
rs116097603 lBF = `14.706` Chr`1` : `228,888,217`	0.820	0.180	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.820	0.180	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.819	0.181	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.819	0.181	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.819	0.181	0.000
rs1623026 lBF = `23.4509` Chr`6` : `31,188,312`	0.819	0.181	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.818	0.182	0.000
rs2251824 lBF = `33.847` Chr`6` : `31,511,857`	0.817	0.183	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.816	0.184	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.815	0.185	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.815	0.185	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.815	0.185	0.000
rs2517490 lBF = `21.5202` Chr`6` : `31,038,756`	0.814	0.186	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.814	0.186	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.813	0.187	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.813	0.187	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.812	0.188	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.812	0.188	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.812	0.188	0.000
rs2517509 lBF = `22.4792` Chr`6` : `31,030,224`	0.811	0.188	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.811	0.189	0.000
rs2857708 lBF = `35.3833` Chr`6` : `31,533,606`	0.810	0.190	0.000
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.809	0.191	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.809	0.191	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.807	0.193	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.807	0.193	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.807	0.193	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.805	0.195	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.805	0.195	0.000
rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.804	0.196	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.803	0.197	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.803	0.197	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.803	0.197	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.802	0.198	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.802	0.198	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.801	0.199	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.801	0.199	0.000
rs113454287 lBF = `16.3293` Chr`6` : `30,999,657`	0.801	0.199	0.000
rs4713467 lBF = `13.306` Chr`6` : `31,437,275`	0.800	0.200	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.799	0.201	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.797	0.203	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.796	0.204	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.795	0.205	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.795	0.205	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.794	0.206	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.794	0.206	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.794	0.206	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.793	0.207	0.000
rs115555031 lBF = `15.0191` Chr`1` : `240,726,984`	0.791	0.209	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.791	0.209	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.791	0.209	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.791	0.209	0.000
rs2517454 lBF = `19.8983` Chr`6` : `31,060,022`	0.791	0.209	0.000
rs16832889 lBF = `1.1864` Chr`3` : `181,851,284`	0.790	0.210	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.789	0.211	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.788	0.211	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.788	0.212	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.787	0.213	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.787	0.213	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.786	0.214	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.786	0.214	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.785	0.215	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.785	0.215	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.783	0.217	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.783	0.217	0.000
rs75908454 lBF = `2.22788` Chr`6` : `169,970,623`	0.783	0.217	0.000
rs2255798 lBF = `34.8832` Chr`6` : `31,521,302`	0.782	0.218	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.781	0.219	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.781	0.219	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.780	0.220	0.000
rs72704117 lBF = `12.9605` Chr`1` : `155,175,089`	0.779	0.221	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.779	0.221	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.778	0.222	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.778	0.222	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.777	0.223	0.000
rs115335082 lBF = `19.1593` Chr`6` : `30,966,969`	0.777	0.223	0.000
rs114914856 lBF = `18.0454` Chr`6` : `30,973,243`	0.777	0.223	0.000
rs115890601 lBF = `18.5648` Chr`6` : `30,980,494`	0.777	0.223	0.000
rs2523506 lBF = `32.8524` Chr`6` : `31,509,967`	0.777	0.223	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.776	0.224	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.776	0.224	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.776	0.224	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.775	0.225	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.775	0.225	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.775	0.225	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.775	0.225	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.775	0.225	0.000
rs6933271 lBF = `20.7519` Chr`6` : `30,867,830`	0.773	0.227	0.000
rs116223167 lBF = `21.4191` Chr`6` : `30,815,678`	0.772	0.227	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.772	0.228	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.771	0.229	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.771	0.229	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.771	0.229	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.770	0.230	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.770	0.230	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.770	0.230	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.769	0.231	0.000
rs114133116 lBF = `20.4412` Chr`6` : `30,824,290`	0.769	0.231	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.767	0.232	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.767	0.233	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.767	0.233	0.000
rs116009799 lBF = `21.8061` Chr`6` : `30,806,893`	0.767	0.233	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.767	0.233	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.767	0.233	0.000
rs114466565 lBF = `19.7848` Chr`6` : `30,898,751`	0.765	0.235	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.765	0.235	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.764	0.236	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.764	0.236	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.764	0.236	0.000
rs116146467 lBF = `8.72874` Chr`6` : `169,558,013`	0.764	0.236	0.000
rs111331141 lBF = `13.3373` Chr`6` : `31,400,947`	0.763	0.237	0.000
rs185934952 lBF = `1.00439` Chr`3` : `6,811,321`	0.762	0.238	0.000
rs114341818 lBF = `20.4453` Chr`6` : `30,844,081`	0.760	0.240	0.000
rs8083786 lBF = `2.85044` Chr`18` : `12,881,361`	0.760	0.240	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.760	0.240	0.000
rs71323034 lBF = `16.6347` Chr`3` : `31,072,353`	0.759	0.240	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.759	0.241	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.759	0.241	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.758	0.242	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.758	0.242	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.757	0.243	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.756	0.244	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.755	0.245	0.000
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rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.671	0.329	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.671	0.329	0.000
rs185275068 lBF = `3.56551` Chr`1` : `239,607,289`	0.671	0.329	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.670	0.330	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.670	0.330	0.000
rs76760096 lBF = `16.3547` Chr`3` : `80,845,720`	0.669	0.331	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.669	0.331	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.668	0.332	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.668	0.332	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.667	0.333	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.667	0.333	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.667	0.333	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.666	0.334	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.666	0.334	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.665	0.335	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.664	0.336	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.663	0.337	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.663	0.337	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.663	0.337	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.662	0.337	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.663	0.337	0.000
rs116042783 lBF = `39.2023` Chr`6` : `25,779,000`	0.662	0.338	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.662	0.338	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.662	0.338	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.661	0.339	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.661	0.339	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.661	0.339	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.661	0.339	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.660	0.340	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.660	0.340	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.659	0.341	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.659	0.341	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.659	0.341	0.000
rs75239648 lBF = `14.3267` Chr`1` : `244,855,509`	0.659	0.341	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.658	0.342	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.657	0.342	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.657	0.342	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.657	0.343	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.657	0.343	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.656	0.344	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.656	0.344	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.656	0.344	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.656	0.344	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.655	0.345	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.655	0.345	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.655	0.345	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.655	0.345	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.655	0.345	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.654	0.346	0.000
rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.654	0.346	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.654	0.346	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.653	0.347	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.653	0.347	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.652	0.347	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.652	0.348	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.652	0.348	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.652	0.348	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.651	0.348	0.000
rs17036170 lBF = `4.42318` Chr`3` : `12,330,411`	0.651	0.349	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.651	0.349	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.651	0.349	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.651	0.349	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.651	0.349	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.650	0.350	0.000
rs7744212 lBF = `15.9284` Chr`6` : `112,275,639`	0.650	0.350	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.650	0.350	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.649	0.351	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.649	0.351	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.649	0.351	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.649	0.351	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.649	0.351	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.648	0.351	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.648	0.352	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.648	0.352	0.000
rs61613191 lBF = `1.61814` Chr`6` : `141,123,711`	0.648	0.352	0.000
rs6922431 lBF = `22.0345` Chr`6` : `31,465,030`	0.000	0.352	0.648
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.647	0.353	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.647	0.353	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.645	0.354	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.645	0.355	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.645	0.355	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.645	0.355	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.645	0.355	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.645	0.355	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.645	0.355	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.645	0.355	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.644	0.356	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.644	0.356	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.644	0.356	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.644	0.356	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.643	0.356	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.643	0.356	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.643	0.357	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.643	0.357	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.643	0.357	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.643	0.357	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.642	0.357	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.643	0.357	0.000
rs6846071 lBF = `4.81519` Chr`4` : `102,402,215`	0.642	0.358	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.642	0.358	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9996

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9986

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9969

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9949

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9943

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9921

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9865

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9820

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9818

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9791

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9728

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9724

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9718

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9714

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9706

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9701

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9688

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9622

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9618

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9567

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9547

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9531

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9461

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9449

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9362

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9348

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9298

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9282

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9259

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9242

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9237

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9228

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9177

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9176

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9163

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9148

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9134

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9085

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9078

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9073

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9010

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9004

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8972

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8966

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8964

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8890

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8866

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8848

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8843

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8838

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8821

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8815

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8759

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8643

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8567

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8527

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8497

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8454

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8441

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8434

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8423

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8416

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8406

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8365

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8353

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8311

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8215

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8194

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8191

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8178

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8038

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7883

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7802

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7754

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7737

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7648

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7541

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7299

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7270

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7251

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7238

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7207

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7204

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7197

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7065

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6957

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6883

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6878

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6848

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6825

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.6763

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6694

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6614

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6610

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6610

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6578

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6517

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6421

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6325

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6273

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6215

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6173

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6170

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6129

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6117

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6102

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6068

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6002

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5898

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5760

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5718

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5516

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5465

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5447

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5343

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5308

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5302

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5282

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5079

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5020

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5018

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4987

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4967

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4815

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4756

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4716

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4680

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4576

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4546

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4214

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4041

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3823

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3669

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3395

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2572

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2275

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1956

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1554

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1376

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1221

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0843

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0776

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0739

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0579

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0553

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`)