TreeWAS – [S51] Open wound of forearm

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

S51

Open wound of forearm

Parent term	S50-S59 Injuries to the elbow and forearm
Nested terms	S51.0 Open wound of elbow S51.7 Multiple open wounds of forearm S51.8 Open wound of other parts of forearm S51.9 Open wound of forearm, part 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
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.986	0.014	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.961	0.039	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.955	0.045	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.954	0.046	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.949	0.051	0.000
rs77622929 lBF = `6.08434` Chr`11` : `50,634,946`	0.944	0.056	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.942	0.058	0.000
rs35597977 lBF = `5.29559` Chr`11` : `75,101,105`	0.942	0.058	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.941	0.059	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.940	0.060	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.936	0.064	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.934	0.066	0.000
rs11229564 lBF = `5.51228` Chr`11` : `55,185,840`	0.932	0.068	0.000
rs1603753 lBF = `5.92283` Chr`11` : `51,306,953`	0.931	0.069	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.928	0.072	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.925	0.075	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.924	0.076	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.924	0.076	0.000
rs77689730 lBF = `5.04085` Chr`11` : `51,515,912`	0.924	0.076	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.921	0.079	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.916	0.084	0.000
rs12143060 lBF = `7.38686` Chr`1` : `156,740,026`	0.915	0.085	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.913	0.087	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.912	0.088	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.911	0.089	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.905	0.095	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.904	0.096	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.904	0.096	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.900	0.100	0.000
rs12222221 lBF = `8.0928` Chr`11` : `49,488,707`	0.899	0.101	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.899	0.101	0.000
rs139659694 lBF = `6.68133` Chr`11` : `51,108,240`	0.898	0.102	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.898	0.102	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.897	0.103	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.895	0.105	0.000
rs114753591 lBF = `7.03822` Chr`5` : `43,356,042`	0.895	0.105	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.895	0.105	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.894	0.106	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.893	0.107	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.891	0.109	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.891	0.109	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.890	0.110	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.890	0.110	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.889	0.111	0.000
rs2893857 lBF = `5.42702` Chr`6` : `26,474,061`	0.888	0.112	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.886	0.114	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.885	0.115	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.884	0.116	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.883	0.117	0.000
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.883	0.117	0.000
rs55706246 lBF = `2.16084` Chr`21` : `35,595,637`	0.881	0.119	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.880	0.120	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.878	0.122	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.877	0.123	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.876	0.124	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.876	0.124	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.876	0.124	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.873	0.127	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.870	0.130	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.870	0.130	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.869	0.131	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.868	0.132	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.867	0.133	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.865	0.135	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.865	0.135	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.864	0.136	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.863	0.137	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.862	0.138	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.861	0.139	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.859	0.141	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.857	0.143	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.856	0.144	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.856	0.144	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.855	0.145	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.854	0.146	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.854	0.146	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.854	0.146	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.854	0.146	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.852	0.148	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.851	0.149	0.000
rs11580861 lBF = `2.70782` Chr`1` : `194,995,131`	0.851	0.149	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.850	0.150	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.850	0.150	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.850	0.150	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.849	0.151	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.849	0.151	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.848	0.152	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.847	0.153	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.846	0.154	0.000
rs11217762 lBF = `6.40084` Chr`11` : `120,071,508`	0.845	0.155	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.842	0.158	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.838	0.162	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.838	0.162	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.835	0.165	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.835	0.165	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.834	0.166	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.833	0.167	0.000
rs76174256 lBF = `5.31188` Chr`3` : `156,862,898`	0.832	0.168	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.831	0.169	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.830	0.170	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.829	0.171	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.829	0.171	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.828	0.172	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.827	0.173	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.827	0.173	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.827	0.173	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.825	0.175	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.825	0.175	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.824	0.175	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.824	0.176	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.823	0.177	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.823	0.177	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.823	0.177	0.000
rs115360810 lBF = `28.1258` Chr`6` : `32,796,310`	0.822	0.178	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.821	0.179	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.821	0.179	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.821	0.179	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.821	0.179	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.820	0.180	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.819	0.181	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.818	0.181	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.818	0.182	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.818	0.182	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.817	0.183	0.000
rs113934085 lBF = `13.4975` Chr`3` : `151,627,433`	0.817	0.183	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.817	0.183	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.816	0.184	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.815	0.185	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.815	0.185	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.815	0.185	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.813	0.187	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.813	0.187	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.811	0.189	0.000
rs115154880 lBF = `8.20092` Chr`5` : `43,883,949`	0.811	0.189	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.810	0.190	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.809	0.191	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.808	0.192	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.808	0.192	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.807	0.193	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.806	0.194	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.806	0.194	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.805	0.195	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.805	0.195	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.805	0.195	0.000
rs2791545 lBF = `12.1553` Chr`1` : `219,662,035`	0.804	0.196	0.000
rs1948390 lBF = `10.3593` Chr`3` : `161,624,890`	0.804	0.196	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.804	0.196	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.803	0.197	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.803	0.197	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.802	0.198	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.800	0.200	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.800	0.200	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.800	0.200	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.800	0.200	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.799	0.200	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.799	0.201	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.799	0.201	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.798	0.202	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.798	0.202	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.798	0.202	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.798	0.202	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.797	0.203	0.000
rs1032485 lBF = `6.4662` Chr`5` : `43,480,252`	0.797	0.203	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.796	0.204	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.796	0.204	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.796	0.204	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.796	0.204	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.795	0.205	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.794	0.206	0.000
rs114925849 lBF = `15.4352` Chr`5` : `108,554,590`	0.794	0.206	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.793	0.207	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.792	0.208	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.792	0.208	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.791	0.209	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.791	0.209	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.791	0.209	0.000
rs2229092 lBF = `13.1652` Chr`6` : `31,540,757`	0.790	0.210	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.789	0.211	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.789	0.211	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.789	0.211	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.788	0.212	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.788	0.212	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.788	0.212	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.787	0.213	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.786	0.214	0.000
rs114694170 lBF = `1.13651` Chr`5` : `88,180,196`	0.783	0.217	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.783	0.217	0.000
rs115361661 lBF = `16.3048` Chr`2` : `175,349,076`	0.782	0.217	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.782	0.218	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.782	0.218	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.782	0.218	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.782	0.218	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.781	0.219	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.781	0.219	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.781	0.219	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.780	0.220	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.779	0.221	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.779	0.221	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.778	0.222	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.778	0.222	0.000
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rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.719	0.281	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.718	0.281	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.718	0.282	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.718	0.282	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.718	0.282	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.718	0.282	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.718	0.282	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.718	0.282	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.718	0.282	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.717	0.283	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.716	0.284	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.716	0.284	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.716	0.284	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.716	0.284	0.000
rs77149735 lBF = `4.50866` Chr`1` : `243,555,105`	0.716	0.284	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.716	0.284	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.715	0.285	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.714	0.286	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.714	0.286	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.713	0.286	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.713	0.287	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.713	0.287	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.713	0.287	0.000
rs75030245 lBF = `16.7045` Chr`1` : `209,331,985`	0.713	0.287	0.000
rs9267808 lBF = `26.5316` Chr`6` : `32,114,445`	0.713	0.287	0.000
rs9491696 lBF = `9.01264` Chr`6` : `127,452,639`	0.000	0.287	0.713
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.713	0.287	0.000
rs3763355 lBF = `60.343` Chr`6` : `32,786,882`	0.713	0.287	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.713	0.287	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.712	0.288	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.712	0.288	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.712	0.288	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.712	0.288	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.712	0.288	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.712	0.288	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.712	0.288	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.711	0.289	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.711	0.289	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.711	0.289	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.711	0.289	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.711	0.289	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.711	0.289	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.710	0.290	0.000
rs12207186 lBF = `0.836971` Chr`6` : `162,314,921`	0.710	0.290	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.710	0.290	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.710	0.290	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.709	0.291	0.000
rs2854050 lBF = `78.2612` Chr`6` : `32,185,605`	0.709	0.291	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.709	0.291	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.708	0.291	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.708	0.292	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.708	0.292	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.708	0.292	0.000
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.708	0.292	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.708	0.292	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.707	0.292	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.707	0.293	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.707	0.293	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.707	0.293	0.000
rs2506933 lBF = `1.94426` Chr`6` : `93,615,450`	0.707	0.293	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.707	0.293	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.706	0.294	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.706	0.294	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.706	0.294	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.705	0.295	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.705	0.295	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.704	0.295	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.704	0.296	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.704	0.296	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.704	0.296	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.704	0.296	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.704	0.296	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.704	0.296	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.703	0.297	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.703	0.297	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.703	0.297	0.000
rs16893130 lBF = `7.5717` Chr`5` : `60,927,193`	0.703	0.297	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.703	0.297	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.703	0.297	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.703	0.297	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.703	0.297	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.702	0.297	0.000
rs71561142 lBF = `5.69059` Chr`6` : `8,859,635`	0.703	0.297	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.702	0.298	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.702	0.298	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.702	0.298	0.000
rs3756407 lBF = `7.30388` Chr`5` : `10,701,514`	0.702	0.298	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.701	0.299	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.701	0.299	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.701	0.299	0.000
rs4679325 lBF = `5.12509` Chr`3` : `126,741,478`	0.701	0.299	0.000
rs78889204 lBF = `11.4029` Chr`3` : `36,863,059`	0.701	0.299	0.000
rs17545824 lBF = `6.53432` Chr`5` : `110,877,600`	0.701	0.299	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.701	0.299	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.700	0.300	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.700	0.300	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.700	0.300	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.700	0.300	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.700	0.300	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

0.2220

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1201

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9999

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9999

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9998

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9996

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9994

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9992

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9989

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9982

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9982

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9981

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9978

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9978

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9973

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9971

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9964

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9962

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9938

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9938

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9935

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9934

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9926

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9904

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9903

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9875

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9867

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9860

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9854

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9851

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9848

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9838

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9836

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9811

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.9800

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9796

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9789

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9784

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9761

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9753

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9752

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9707

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9705

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9704

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9680

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9659

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9599

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9597

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9596

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9591

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9569

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9563

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9550

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9540

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9540

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9534

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9510

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9509

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9481

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9480

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9473

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9468

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9453

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9451

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9439

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9432

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9417

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9415

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9412

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9403

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9383

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9357

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9335

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9327

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9281

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9267

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9199

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9196

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9174

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9171

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9170

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9165

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9140

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9069

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9066

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9044

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9034

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8972

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8970

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8968

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8945

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8944

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8936

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8893

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8885

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8856

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8829

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8786

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8699

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8631

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8628

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8583

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8529

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8517

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8458

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8411

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8401

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8384

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8375

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.8369

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8335

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8318

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8233

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8232

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.8232

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8229

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8211

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8199

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8090

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8084

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8082

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.8044

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8011

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7785

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7658

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7638

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7632

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7631

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7620

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7567

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7549

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7512

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7470

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7373

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7367

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7347

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7294

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7274

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7260

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7214

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7181

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7028

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6836

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6822

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6772

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6625

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6569

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6504

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6477

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6467

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6427

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6396

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6208

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6168

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5986

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5969

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5952

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5892

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5840

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5770

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5671

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5537

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5343

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5323

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5285

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5173

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5156

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5101

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5020

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4986

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4901

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4832

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4634

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4546

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4540

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4430

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4385

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4312

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4275

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4242

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4202

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4194

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4193

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4188

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4108

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3955

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3903

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.3787

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3659

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3600

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3533

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3479

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3351

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.3339

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3280

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3181

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3101

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3075

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2970

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2964

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2675

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2669

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2490

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2393

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2134

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1975

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1812

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1690

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1586

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1506

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1156

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0998

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0890

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0712

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.0642

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0558

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0527

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`)