TreeWAS – [D36] Benign neoplasm of other and unspecified sites

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

D36

Benign neoplasm of other and unspecified sites

Parent term	D10-D36 Benign neoplasms
Nested terms	D36.0 Lymph nodes D36.1 Peripheral nerves and autonomic nervous system D36.7 Other specified sites D36.9 Benign neoplasm of unspecified site

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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
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.986	0.014	0.000
rs2242652 lBF = `35.8732` Chr`5` : `1,280,028`	0.967	0.033	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.957	0.043	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.941	0.059	0.000
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.940	0.060	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.934	0.066	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.934	0.066	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.934	0.066	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.933	0.067	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.928	0.072	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.925	0.075	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.910	0.090	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.909	0.091	0.000
rs2995264 lBF = `29.0139` Chr`10` : `105,668,843`	0.000	0.093	0.907
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.904	0.096	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.901	0.099	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.898	0.102	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.897	0.103	0.000
rs7545047 lBF = `5.30446` Chr`1` : `162,191,103`	0.891	0.109	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.886	0.114	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.883	0.117	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.881	0.119	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.880	0.120	0.000
rs4865860 lBF = `6.73256` Chr`5` : `53,979,211`	0.878	0.122	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.877	0.123	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.876	0.124	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.876	0.124	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.875	0.125	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.874	0.126	0.000
rs10069690 lBF = `39.1405` Chr`5` : `1,279,790`	0.873	0.127	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.873	0.127	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.871	0.129	0.000
rs72709458 lBF = `44.6062` Chr`5` : `1,283,755`	0.868	0.132	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.866	0.134	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.862	0.138	0.000
rs1887284 lBF = `14.8007` Chr`1` : `1,487,059`	0.862	0.138	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.858	0.142	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.856	0.144	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.854	0.146	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.853	0.147	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.846	0.154	0.000
rs9419958 lBF = `34.8979` Chr`10` : `105,675,946`	0.000	0.154	0.846
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.846	0.154	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.841	0.159	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.839	0.161	0.000
rs75754936 lBF = `9.36846` Chr`6` : `122,770,192`	0.833	0.167	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.832	0.168	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.831	0.169	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.827	0.173	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.826	0.174	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.825	0.175	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.824	0.176	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.824	0.176	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.823	0.177	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.823	0.177	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.823	0.177	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.822	0.178	0.000
rs17083533 lBF = `1.99367` Chr`6` : `121,730,722`	0.820	0.179	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.820	0.180	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.818	0.182	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.816	0.183	0.000
rs116485796 lBF = `8.88422` Chr`3` : `133,612,103`	0.816	0.183	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.816	0.184	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.816	0.184	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.814	0.186	0.000
rs2853676 lBF = `19.1781` Chr`5` : `1,288,547`	0.813	0.187	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.811	0.189	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.810	0.190	0.000
rs2233975 lBF = `19.432` Chr`6` : `31,080,009`	0.810	0.190	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.809	0.191	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.807	0.193	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.807	0.193	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.805	0.195	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.804	0.196	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.804	0.196	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.803	0.197	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.803	0.197	0.000
rs115686841 lBF = `19.4793` Chr`1` : `168,849,245`	0.802	0.198	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.802	0.198	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.801	0.199	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.801	0.199	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.800	0.200	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.800	0.200	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.800	0.200	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.799	0.200	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.799	0.201	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.799	0.201	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.799	0.201	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.798	0.202	0.000
rs11155133 lBF = `6.4949` Chr`6` : `141,169,825`	0.798	0.202	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.794	0.206	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.793	0.207	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.792	0.208	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.792	0.208	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.791	0.209	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.791	0.209	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.791	0.209	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.791	0.209	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.790	0.210	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.790	0.210	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.789	0.211	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.788	0.212	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.784	0.216	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.784	0.216	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.783	0.217	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.782	0.217	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.782	0.218	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.781	0.219	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.779	0.221	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.778	0.222	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.777	0.223	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.777	0.223	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.777	0.223	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.777	0.223	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.772	0.228	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.770	0.230	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.770	0.230	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.770	0.230	0.000
rs181705462 lBF = `15.0141` Chr`6` : `31,947,027`	0.769	0.231	0.000
rs17156153 lBF = `22.256` Chr`11` : `270,514`	0.000	0.232	0.768
rs186507655 lBF = `20.9052` Chr`1` : `1,287,055`	0.767	0.233	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.766	0.234	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.765	0.235	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.765	0.235	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.764	0.236	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.763	0.237	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.762	0.238	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.761	0.239	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.761	0.239	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.761	0.239	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.761	0.239	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.760	0.240	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.760	0.240	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.759	0.241	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.758	0.242	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.758	0.242	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.758	0.242	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.758	0.242	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.757	0.243	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.757	0.243	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.757	0.243	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.757	0.243	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.756	0.243	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.756	0.244	0.000
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.756	0.244	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.756	0.244	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.755	0.245	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.755	0.245	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.755	0.245	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.755	0.245	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.754	0.246	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.752	0.248	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.752	0.248	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.751	0.249	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.751	0.249	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.751	0.249	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.751	0.249	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.749	0.250	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.749	0.251	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.748	0.252	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.748	0.252	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.748	0.252	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.745	0.255	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.744	0.256	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.743	0.256	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.743	0.257	0.000
rs75011346 lBF = `15.1821` Chr`1` : `163,292,579`	0.742	0.258	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.742	0.258	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.742	0.258	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.742	0.258	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.741	0.259	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.741	0.259	0.000
rs3827760 lBF = `5.71339` Chr`2` : `109,513,601`	0.741	0.259	0.000
rs12528886 lBF = `2.11978` Chr`6` : `130,453,882`	0.741	0.259	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.739	0.261	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.739	0.261	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.739	0.261	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.737	0.262	0.000
rs77292666 lBF = `7.58228` Chr`21` : `33,214,050`	0.737	0.263	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.737	0.263	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.737	0.263	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.736	0.264	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.736	0.264	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.736	0.264	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.735	0.265	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.735	0.265	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.734	0.266	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.733	0.267	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.732	0.268	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.731	0.268	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.731	0.269	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.731	0.269	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.730	0.270	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.729	0.270	0.000
rs35292876 lBF = `4.20174` Chr`1` : `196,706,642`	0.729	0.271	0.000
rs2834812 lBF = `1.53993` Chr`21` : `36,533,662`	0.728	0.272	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.728	0.272	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.727	0.272	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.727	0.273	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.726	0.274	0.000
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rs1623026 lBF = `23.4509` Chr`6` : `31,188,312`	0.656	0.344	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.656	0.344	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.656	0.344	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.655	0.344	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.655	0.344	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.654	0.345	0.000
rs116009799 lBF = `21.8061` Chr`6` : `30,806,893`	0.654	0.345	0.000
rs116223167 lBF = `21.4191` Chr`6` : `30,815,678`	0.654	0.346	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.654	0.346	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.653	0.347	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.653	0.347	0.000
rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.653	0.347	0.000
rs2280543 lBF = `7.77563` Chr`11` : `203,788`	0.000	0.347	0.653
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.653	0.347	0.000
rs114466565 lBF = `19.7848` Chr`6` : `30,898,751`	0.652	0.347	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.652	0.348	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.651	0.349	0.000
rs114133116 lBF = `20.4412` Chr`6` : `30,824,290`	0.651	0.349	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.651	0.349	0.000
rs2736100 lBF = `53.0413` Chr`5` : `1,286,516`	0.000	0.349	0.651
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.650	0.350	0.000
rs6933271 lBF = `20.7519` Chr`6` : `30,867,830`	0.650	0.350	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.650	0.350	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.649	0.351	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.649	0.351	0.000
rs2517490 lBF = `21.5202` Chr`6` : `31,038,756`	0.649	0.351	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.000	0.351	0.649
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.649	0.351	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.648	0.352	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.648	0.352	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.648	0.352	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.647	0.353	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.647	0.353	0.000
rs2517509 lBF = `22.4792` Chr`6` : `31,030,224`	0.647	0.353	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.647	0.353	0.000
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.646	0.354	0.000
rs76570619 lBF = `1.1837` Chr`1` : `113,246,730`	0.646	0.354	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.646	0.354	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.646	0.354	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.645	0.354	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.645	0.354	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.000	0.355	0.645
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.645	0.355	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.645	0.355	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.645	0.355	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.645	0.355	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.645	0.355	0.000
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.644	0.356	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.644	0.356	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.644	0.356	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.644	0.356	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.644	0.356	0.000
rs187076367 lBF = `2.26739` Chr`2` : `175,636,914`	0.643	0.357	0.000
rs9267808 lBF = `26.5316` Chr`6` : `32,114,445`	0.643	0.357	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.642	0.358	0.000
rs1265083 lBF = `24.1513` Chr`6` : `31,111,347`	0.642	0.358	0.000
rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.642	0.358	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.642	0.358	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.641	0.358	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.641	0.359	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.641	0.359	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.641	0.359	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.641	0.359	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.640	0.359	0.000
rs184665953 lBF = `1.64759` Chr`4` : `46,444,334`	0.640	0.359	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.000	0.360	0.640
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.640	0.360	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.640	0.360	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.640	0.360	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.640	0.360	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.639	0.361	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.639	0.361	0.000
rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.639	0.361	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.638	0.361	0.000
rs364786 lBF = `23.3372` Chr`6` : `31,144,291`	0.638	0.362	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.638	0.362	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.637	0.363	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.637	0.363	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.636	0.363	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.636	0.364	0.000
rs17004598 lBF = `2.6091` Chr`21` : `45,078,556`	0.636	0.364	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.636	0.364	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.636	0.364	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.635	0.365	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.633	0.367	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.633	0.367	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.633	0.367	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.633	0.367	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.633	0.367	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.632	0.368	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.632	0.368	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.632	0.368	0.000
rs114685215 lBF = `1.06238` Chr`1` : `113,068,722`	0.632	0.368	0.000
rs205000 lBF = `21.2147` Chr`6` : `32,135,878`	0.631	0.368	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.630	0.369	0.000
rs147056028 lBF = `2.35667` Chr`2` : `3,677,227`	0.630	0.370	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.630	0.370	0.000
rs310518 lBF = `6.1487` Chr`5` : `82,819,119`	0.630	0.370	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.6168

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1507

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9984

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9983

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9982

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9977

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9960

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9895

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9867

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9865

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9819

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9696

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9611

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9599

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9559

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9465

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9428

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9419

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9415

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9245

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9079

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9050

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8980

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8882

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8827

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.8824

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8550

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8522

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8515

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8491

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8430

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8401

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8334

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8215

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8174

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8156

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8130

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8125

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8063

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8054

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8028

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8015

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7990

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7982

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7774

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7750

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7618

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7523

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7515

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7469

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7404

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7393

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7372

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7362

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7339

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.7303

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7251

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7221

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7195

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7148

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7053

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7023

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6965

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6907

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6881

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6766

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6655

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6603

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6599

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6598

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6597

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6472

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6426

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6383

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6344

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6220

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6159

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6097

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6046

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6016

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6010

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6004

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5773

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5746

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5734

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5699

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5542

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5469

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5466

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5423

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5411

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5343

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5271

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5143

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5139

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5098

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5074

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5013

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4866

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4821

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4620

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4565

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4522

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4475

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4414

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4117

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3843

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3717

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3684

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3620

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3601

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3415

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3341

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3177

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3092

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3003

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2971

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2914

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2685

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2607

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2562

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2515

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2499

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2498

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2490

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2465

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2461

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2385

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2350

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2140

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2079

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1781

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1750

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1693

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1619

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1548

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1482

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1470

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1168

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1090

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1030

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0972

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0917

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0826

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0761

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0694

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0592

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0568

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0512

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`)