TreeWAS – [R90] Abnormal findings on diagnostic imaging of central nervous system

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

R90

Abnormal findings on diagnostic imaging of central nervous system

Parent term	R90-R94 Abnormal findings on diagnostic imaging and in function studies, without diagnosis
Nested terms	R90.0 Intracranial space-occupying lesion R90.8 Other abnormal findings on diagnostic imaging of central nervous system

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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
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.921	0.079	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.902	0.098	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.878	0.122	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.877	0.123	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.870	0.130	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.868	0.132	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.865	0.135	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.841	0.159	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.835	0.165	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.830	0.170	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.828	0.171	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.817	0.183	0.000
rs181704351 lBF = `8.19928` Chr`1` : `70,147,866`	0.814	0.186	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.813	0.187	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.811	0.189	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.810	0.190	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.810	0.190	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.810	0.190	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.808	0.192	0.000
rs9284510 lBF = `6.78234` Chr`21` : `47,557,074`	0.808	0.192	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.808	0.192	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.807	0.192	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.805	0.195	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.803	0.197	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.803	0.197	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.802	0.198	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.798	0.202	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.797	0.203	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.794	0.206	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.793	0.207	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.792	0.207	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.791	0.209	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.788	0.212	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.787	0.213	0.000
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.787	0.213	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.786	0.214	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.785	0.215	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.784	0.216	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.782	0.218	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.779	0.221	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.779	0.221	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.779	0.221	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.778	0.222	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.776	0.224	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.776	0.224	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.774	0.226	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.774	0.226	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.773	0.227	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.772	0.228	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.772	0.228	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.772	0.228	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.771	0.229	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.771	0.229	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.770	0.230	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.769	0.231	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.768	0.232	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.768	0.232	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.765	0.235	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.765	0.235	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.765	0.235	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.763	0.236	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.763	0.237	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.763	0.237	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.762	0.238	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.762	0.238	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.761	0.239	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.761	0.239	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.760	0.239	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.757	0.243	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.757	0.243	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.755	0.245	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.755	0.245	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.754	0.246	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.754	0.246	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.753	0.247	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.752	0.248	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.752	0.248	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.752	0.248	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.751	0.248	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.751	0.249	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.751	0.249	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.749	0.251	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.749	0.251	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.749	0.251	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.747	0.253	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.746	0.254	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.746	0.254	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.745	0.255	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.744	0.256	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.744	0.256	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.744	0.256	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.743	0.257	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.742	0.258	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.741	0.259	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.739	0.261	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.739	0.261	0.000
rs16867713 lBF = `3.5914` Chr`5` : `15,783,500`	0.739	0.261	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.738	0.262	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.737	0.263	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.736	0.264	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.734	0.266	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.734	0.266	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.734	0.266	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.733	0.267	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.732	0.268	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.731	0.269	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.731	0.269	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.731	0.269	0.000
rs73138705 lBF = `14.0343` Chr`3` : `85,470,361`	0.731	0.269	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.730	0.270	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.729	0.271	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.729	0.271	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.728	0.272	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.727	0.273	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.726	0.274	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.726	0.274	0.000
rs202205027 lBF = `17.9756` Chr`1` : `224,621,538`	0.725	0.275	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.725	0.275	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.725	0.275	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.724	0.276	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.724	0.276	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.724	0.276	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.724	0.276	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.721	0.279	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.721	0.279	0.000
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.721	0.279	0.000
rs182503338 lBF = `4.85679` Chr`6` : `34,582,274`	0.721	0.279	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.720	0.280	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.719	0.280	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.719	0.280	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.719	0.281	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.719	0.281	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.718	0.282	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.718	0.282	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.718	0.282	0.000
rs2516484 lBF = `81.6627` Chr`6` : `31,496,381`	0.717	0.283	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.717	0.283	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.717	0.283	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.717	0.283	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.717	0.283	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.716	0.284	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.716	0.284	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.715	0.285	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.715	0.285	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.715	0.285	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.714	0.286	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.714	0.286	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.714	0.286	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.714	0.286	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.713	0.287	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.713	0.287	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.713	0.287	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.713	0.287	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.713	0.287	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.712	0.288	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.712	0.288	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.712	0.288	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.711	0.289	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.711	0.289	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.710	0.290	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.710	0.290	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.710	0.290	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.709	0.291	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.709	0.291	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.708	0.292	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.708	0.292	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.708	0.292	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.707	0.293	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.706	0.294	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.706	0.294	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.706	0.294	0.000
rs9310385 lBF = `12.836` Chr`3` : `11,611,146`	0.706	0.294	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.705	0.295	0.000
rs9295990 lBF = `22.3458` Chr`6` : `31,386,019`	0.000	0.295	0.705
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.705	0.295	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.704	0.296	0.000
rs2516472 lBF = `23.2465` Chr`6` : `31,394,700`	0.000	0.296	0.704
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.704	0.296	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.703	0.297	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.702	0.298	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.702	0.298	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.702	0.298	0.000
rs41293883 lBF = `81.8257` Chr`6` : `31,474,820`	0.701	0.298	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.701	0.299	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.701	0.299	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.701	0.299	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.700	0.300	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.700	0.300	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.700	0.300	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.700	0.300	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.699	0.301	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.699	0.301	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.699	0.301	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.699	0.301	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.699	0.301	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.698	0.302	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.698	0.302	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.698	0.302	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.697	0.302	0.000
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rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.642	0.358	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.642	0.358	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.642	0.358	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.641	0.359	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.641	0.359	0.000
rs61780598 lBF = `16.8509` Chr`1` : `53,131,770`	0.641	0.359	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.641	0.359	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.641	0.359	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.359	0.641
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.640	0.360	0.000
rs36001438 lBF = `20.6978` Chr`6` : `31,186,378`	0.640	0.360	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.640	0.360	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.639	0.360	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.639	0.361	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.639	0.361	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.639	0.361	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.639	0.361	0.000
rs10788160 lBF = `19.1751` Chr`10` : `123,033,549`	0.638	0.362	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.638	0.362	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.638	0.362	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.638	0.362	0.000
rs112996116 lBF = `5.48142` Chr`3` : `132,260,187`	0.638	0.362	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.637	0.363	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.637	0.363	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.637	0.363	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.637	0.363	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.636	0.364	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.635	0.364	0.000
rs79019069 lBF = `4.63997` Chr`3` : `148,481,023`	0.635	0.365	0.000
rs2233940 lBF = `19.3841` Chr`6` : `31,107,922`	0.635	0.365	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.635	0.365	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.635	0.365	0.000
rs71563311 lBF = `20.1258` Chr`6` : `31,136,994`	0.634	0.366	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.634	0.366	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.634	0.366	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.634	0.366	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.633	0.367	0.000
rs73050577 lBF = `29.1953` Chr`3` : `23,853,409`	0.633	0.367	0.000
rs116155186 lBF = `6.15229` Chr`3` : `85,368,819`	0.633	0.367	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.633	0.367	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.633	0.367	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.632	0.367	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.632	0.368	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.632	0.368	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.632	0.368	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.631	0.369	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.630	0.369	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.630	0.370	0.000
rs149291579 lBF = `9.43145` Chr`1` : `79,240,882`	0.630	0.370	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.630	0.370	0.000
rs73134752 lBF = `11.2492` Chr`3` : `85,437,738`	0.630	0.370	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.630	0.370	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.629	0.371	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.371	0.629
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.629	0.371	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.629	0.371	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.629	0.371	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.629	0.371	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.628	0.372	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.627	0.372	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.627	0.373	0.000
rs74635050 lBF = `15.419` Chr`6` : `19,632,865`	0.627	0.373	0.000
rs2290161 lBF = `15.2998` Chr`3` : `12,633,168`	0.626	0.374	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.626	0.374	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.625	0.374	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.625	0.375	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.625	0.375	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.625	0.375	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.624	0.376	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.624	0.376	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.623	0.377	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.623	0.377	0.000
rs74853015 lBF = `6.29916` Chr`2` : `36,865,755`	0.623	0.377	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.623	0.377	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.623	0.377	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.623	0.377	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.622	0.378	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.622	0.378	0.000
rs41257954 lBF = `20.527` Chr`6` : `31,138,310`	0.622	0.378	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.621	0.379	0.000
rs17036170 lBF = `4.42318` Chr`3` : `12,330,411`	0.621	0.379	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.621	0.379	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.620	0.380	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.620	0.380	0.000
rs12725009 lBF = `3.38119` Chr`1` : `3,413,997`	0.620	0.380	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.619	0.380	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.619	0.381	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.618	0.382	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.618	0.382	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.617	0.382	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.617	0.383	0.000
rs2596460 lBF = `22.7176` Chr`6` : `31,417,510`	0.000	0.383	0.617
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.617	0.383	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.616	0.383	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.616	0.384	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.616	0.384	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.615	0.385	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.614	0.386	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.614	0.386	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5797

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5330

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9998

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9973

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9972

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9967

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9942

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9930

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9923

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9897

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9884

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9872

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9815

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9782

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9769

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9768

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9722

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9676

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9666

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9644

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9609

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9604

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9587

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9517

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9419

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9293

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9290

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9287

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9276

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9218

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9192

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9192

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9183

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9134

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9130

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9127

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9051

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9001

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8990

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8957

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8863

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8853

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8827

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8787

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8782

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8779

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8775

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8747

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8734

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8713

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8688

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8673

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8608

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8597

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8577

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8352

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8258

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8226

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8170

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8090

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8032

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7993

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7957

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7955

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7780

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7738

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7719

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7657

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7643

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7610

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7286

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7142

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7137

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7123

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7079

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7060

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7060

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6943

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6893

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6844

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6838

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6564

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6529

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6441

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6402

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6390

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6385

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6352

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6316

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6237

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6168

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5970

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5554

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5535

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5466

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5445

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5285

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5274

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5227

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5107

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5082

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4957

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4944

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4917

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4819

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4685

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4546

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4354

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4343

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4293

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4273

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3762

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3751

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3730

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3729

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3668

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3429

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3034

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2900

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2786

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2572

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2535

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2496

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2442

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2387

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2292

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2152

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2105

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2064

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1980

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1947

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1882

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1824

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1761

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1708

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1545

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1520

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1446

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1279

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1205

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1185

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1149

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1141

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1038

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1007

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0994

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0914

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0833

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0805

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0753

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0586

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0533

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0504

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`)