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
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.797	0.203	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.739	0.261	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.729	0.271	0.000
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.721	0.279	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.720	0.280	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.715	0.285	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.706	0.294	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.702	0.298	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.699	0.301	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.697	0.303	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.694	0.306	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.693	0.307	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.691	0.309	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.690	0.309	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.686	0.314	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.680	0.320	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.676	0.324	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.673	0.327	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.669	0.331	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.667	0.332	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.664	0.336	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.664	0.336	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.663	0.337	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.661	0.339	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.657	0.342	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.645	0.355	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.644	0.356	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.644	0.356	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.637	0.363	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.634	0.366	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.371	0.629
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.611	0.389	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.610	0.390	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.609	0.390	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.607	0.393	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.606	0.394	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.605	0.395	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.604	0.396	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.597	0.403	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.591	0.408	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.590	0.410	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.587	0.412	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.585	0.415	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.584	0.416	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.584	0.416	0.000
rs184665953 lBF = `1.64759` Chr`4` : `46,444,334`	0.582	0.418	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.568	0.432	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.561	0.438	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.561	0.439	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.561	0.439	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.559	0.441	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.557	0.443	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.552	0.448	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.550	0.449	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.548	0.452	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.547	0.453	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.531	0.469	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.529	0.471	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.528	0.472	0.000
rs2333163 lBF = `3.36557` Chr`4` : `176,270,885`	0.510	0.490	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.509	0.491	0.000
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.502	0.498	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.501	0.499	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.498	0.502	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.496	0.504	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.491	0.508	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.491	0.509	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.490	0.510	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.482	0.518	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.469	0.530	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.468	0.532	0.000
rs114326390 lBF = `0.810928` Chr`4` : `30,704,527`	0.468	0.532	0.000
rs111361850 lBF = `1.08712` Chr`4` : `124,663,356`	0.456	0.544	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.454	0.546	0.000
rs28875200 lBF = `1.01401` Chr`4` : `90,027,928`	0.447	0.553	0.000
rs147028191 lBF = `2.41973` Chr`4` : `46,414,112`	0.445	0.554	0.000
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.440	0.560	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.439	0.561	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.427	0.573	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.427	0.573	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.424	0.576	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.423	0.577	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.420	0.580	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.419	0.581	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.415	0.585	0.000
rs185609610 lBF = `1.07252` Chr`4` : `178,449,560`	0.411	0.589	0.000
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.410	0.589	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.409	0.591	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.407	0.593	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.402	0.598	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.400	0.600	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.398	0.602	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.398	0.602	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.396	0.604	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.391	0.609	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.391	0.609	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.391	0.609	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.391	0.609	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.389	0.611	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.387	0.612	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.387	0.613	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.382	0.618	0.000
rs41427747 lBF = `0.87398` Chr`4` : `104,920,479`	0.376	0.624	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.366	0.634	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.363	0.637	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.360	0.639	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.359	0.641	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.358	0.641	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.345	0.654	0.000
rs148685782 lBF = `1.2183` Chr`4` : `155,533,035`	0.000	0.662	0.337
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.333	0.667	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.330	0.670	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.327	0.673	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.325	0.675	0.000
rs6846071 lBF = `4.81519` Chr`4` : `102,402,215`	0.319	0.681	0.001
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.313	0.687	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.310	0.690	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.309	0.690	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.309	0.691	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.300	0.700	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.291	0.709	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.286	0.714	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.283	0.717	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.278	0.721	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.278	0.722	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.277	0.723	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.272	0.728	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.265	0.735	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.262	0.738	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.261	0.739	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.259	0.741	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.259	0.741	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.246	0.754	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.242	0.758	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.218	0.782	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.210	0.790	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.195	0.805	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.195	0.805	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.192	0.808	0.000
rs61361928 lBF = `1.47367` Chr`4` : `69,962,375`	0.189	0.811	0.000
rs10032909 lBF = `0.16701` Chr`4` : `79,970,208`	0.167	0.832	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.833	0.167
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.157	0.842	0.000
rs13146780 lBF = `0.334677` Chr`4` : `43,851,092`	0.156	0.843	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.140	0.860	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.138	0.862	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.133	0.866	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.133	0.867	0.001
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.132	0.868	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.132	0.868	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.131	0.869	0.000
rs13132569 lBF = `2.55457` Chr`4` : `61,603,156`	0.130	0.869	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.130	0.870	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.126	0.874	0.000
rs201958930 lBF = `1.66444` Chr`4` : `59,737,471`	0.126	0.874	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.123	0.877	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.120	0.880	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.116	0.884	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.116	0.884	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.115	0.885	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.114	0.886	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.110	0.889	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.110	0.890	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.109	0.891	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.106	0.894	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.105	0.895	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.102	0.898	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.096	0.904	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.093	0.907	0.000
rs57681851 lBF = `3.26619` Chr`4` : `2,290,698`	0.090	0.910	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.086	0.914	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.083	0.916	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.083	0.917	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.080	0.920	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.078	0.921	0.000
rs1479279 lBF = `0.886523` Chr`4` : `12,099,335`	0.078	0.922	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.077	0.923	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.066	0.934	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.064	0.936	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.062	0.938	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.062	0.938	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.059	0.941	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.058	0.942	0.000
rs148750727 lBF = `0.143412` Chr`4` : `188,022,952`	0.058	0.942	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.058	0.942	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.056	0.943	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.055	0.945	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.051	0.949	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.050	0.950	0.000
rs4835265 lBF = `0.517274` Chr`4` : `146,821,410`	0.050	0.950	0.000
rs72889102 lBF = `0.37065` Chr`4` : `98,507,212`	0.042	0.958	0.000
rs61154600 lBF = `0.37065` Chr`4` : `98,511,620`	0.042	0.958	0.000
rs72889099 lBF = `0.37065` Chr`4` : `98,505,438`	0.042	0.958	0.000
rs61456001 lBF = `0.37065` Chr`4` : `98,509,976`	0.042	0.958	0.000
rs58276078 lBF = `0.37065` Chr`4` : `98,511,626`	0.042	0.958	0.000
rs56880249 lBF = `0.37065` Chr`4` : `98,510,828`	0.042	0.958	0.000
rs17026828 lBF = `0.37065` Chr`4` : `98,509,511`	0.042	0.958	0.000
rs72890852 lBF = `0.37065` Chr`4` : `98,542,630`	0.042	0.958	0.000
rs1508459 lBF = `0.37065` Chr`4` : `98,508,980`	0.042	0.958	0.000
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rs17218161 lBF = `0.00027201` Chr`4` : `59,213,845`	0.001	0.999	0.000
rs10518159 lBF = `-0.0563941` Chr`4` : `77,763,998`	0.000	0.999	0.001
rs191493117 lBF = `0.00021266` Chr`4` : `147,360,131`	0.001	0.999	0.000
rs72909131 lBF = `0.00013477` Chr`4` : `83,512,841`	0.001	0.999	0.000
rs75764011 lBF = `0.00013191` Chr`4` : `149,574,749`	0.001	0.999	0.000
rs117802898 lBF = `0.00025648` Chr`4` : `94,006,769`	0.001	0.999	0.000
rs117932668 lBF = `0.00024182` Chr`4` : `94,015,689`	0.001	0.999	0.000
rs143324395 lBF = `0.00024182` Chr`4` : `94,013,991`	0.001	0.999	0.000
rs6531565 lBF = `0.00027041` Chr`4` : `37,662,532`	0.000	0.999	0.001
rs9997524 lBF = `0.00016238` Chr`4` : `43,052,186`	0.001	0.999	0.000
rs10520189 lBF = `-0.00977474` Chr`4` : `171,641,235`	0.001	0.999	0.000
rs17484474 lBF = `0.150019` Chr`4` : `82,126,121`	0.001	0.999	0.000
rs186873296 lBF = `0.00017005` Chr`4` : `144,702,474`	0.001	0.999	0.000
rs73838658 lBF = `0.00005513` Chr`4` : `105,887,308`	0.001	0.999	0.000
rs115426111 lBF = `0.000012` Chr`4` : `38,161,064`	0.000	0.999	0.001
rs73838634 lBF = `0` Chr`4` : `105,794,045`	0.001	0.999	0.001
rs73838654 lBF = `0` Chr`4` : `105,874,544`	0.001	0.999	0.001
rs73838071 lBF = `0` Chr`4` : `106,196,977`	0.001	0.999	0.001
rs148386737 lBF = `0` Chr`4` : `43,890,440`	0.001	0.999	0.001
rs114120854 lBF = `0` Chr`4` : `67,360,667`	0.001	0.999	0.001
rs1859156 lBF = `0` Chr`4` : `95,834,034`	0.001	0.999	0.001
rs73838646 lBF = `0` Chr`4` : `105,834,498`	0.001	0.999	0.001
rs73836179 lBF = `0` Chr`4` : `105,754,540`	0.001	0.999	0.001
rs73838653 lBF = `0` Chr`4` : `105,871,725`	0.001	0.999	0.001
rs186974661 lBF = `0` Chr`4` : `67,336,420`	0.001	0.999	0.001
rs7665957 lBF = `0` Chr`4` : `12,498,887`	0.001	0.999	0.001
rs73838644 lBF = `0` Chr`4` : `105,825,134`	0.001	0.999	0.001
rs6836944 lBF = `0` Chr`4` : `65,273,840`	0.001	0.999	0.001
rs188160653 lBF = `0` Chr`4` : `89,676,780`	0.001	0.999	0.001
rs145368269 lBF = `0` Chr`4` : `156,887,189`	0.001	0.999	0.001
rs6820368 lBF = `0` Chr`4` : `100,137,494`	0.001	0.999	0.001
rs78736651 lBF = `0` Chr`4` : `105,736,259`	0.001	0.999	0.001
rs73838651 lBF = `0` Chr`4` : `105,867,915`	0.001	0.999	0.001
rs186822321 lBF = `0` Chr`4` : `130,400,775`	0.001	0.999	0.001
rs4693974 lBF = `0` Chr`4` : `89,810,395`	0.001	0.999	0.001
rs188006861 lBF = `0` Chr`4` : `7,850,843`	0.001	0.999	0.001
rs73838638 lBF = `0` Chr`4` : `105,811,700`	0.001	0.999	0.001
rs142846286 lBF = `0` Chr`4` : `38,504,737`	0.001	0.999	0.001
rs908084 lBF = `0` Chr`4` : `183,543,648`	0.001	0.999	0.001
rs182823009 lBF = `0` Chr`4` : `54,939,942`	0.001	0.999	0.001
rs16996151 lBF = `0` Chr`4` : `89,978,800`	0.001	0.999	0.001
rs181310918 lBF = `0` Chr`4` : `105,727,392`	0.001	0.999	0.001
rs61068760 lBF = `0` Chr`4` : `105,851,876`	0.001	0.999	0.001
rs35141484 lBF = `0` Chr`4` : `39,088,341`	0.001	0.999	0.001
rs139070430 lBF = `0` Chr`4` : `62,181,774`	0.001	0.999	0.001
rs184650103 lBF = `0` Chr`4` : `74,850,649`	0.001	0.999	0.001
rs6537275 lBF = `0` Chr`4` : `145,242,662`	0.001	0.999	0.001
rs150450027 lBF = `0` Chr`4` : `14,126,743`	0.001	0.999	0.001
rs115971165 lBF = `0` Chr`4` : `25,640,372`	0.001	0.999	0.001
rs56404102 lBF = `0` Chr`4` : `105,795,516`	0.001	0.999	0.001
rs73838655 lBF = `0` Chr`4` : `105,874,586`	0.001	0.999	0.001
rs142210607 lBF = `0` Chr`4` : `55,751,694`	0.001	0.999	0.001
rs144063842 lBF = `0` Chr`4` : `67,400,255`	0.001	0.999	0.001
rs181995593 lBF = `0` Chr`4` : `21,883,085`	0.001	0.999	0.001
rs73839333 lBF = `0` Chr`4` : `105,648,102`	0.001	0.999	0.001
rs147515761 lBF = `0` Chr`4` : `105,843,919`	0.001	0.999	0.001
rs73838632 lBF = `0` Chr`4` : `105,783,389`	0.001	0.999	0.001
rs56235007 lBF = `0` Chr`4` : `105,873,783`	0.001	0.999	0.001
rs148684605 lBF = `0` Chr`4` : `67,341,625`	0.001	0.999	0.001
rs61095879 lBF = `0` Chr`4` : `105,579,101`	0.001	0.999	0.001
rs192264222 lBF = `0` Chr`4` : `105,825,450`	0.001	0.999	0.001
rs148635969 lBF = `0` Chr`4` : `72,316,967`	0.001	0.999	0.001
rs1812175 lBF = `0` Chr`4` : `145,574,844`	0.001	0.999	0.001
rs73836173 lBF = `0` Chr`4` : `105,749,533`	0.001	0.999	0.001
rs73838652 lBF = `0` Chr`4` : `105,871,450`	0.001	0.999	0.001
rs114681481 lBF = `0` Chr`4` : `67,330,261`	0.001	0.999	0.001
rs191540052 lBF = `0` Chr`4` : `4,887,114`	0.001	0.999	0.001
rs145688504 lBF = `0` Chr`4` : `93,704,690`	0.001	0.999	0.001
rs80127210 lBF = `0` Chr`4` : `36,441,974`	0.001	0.999	0.001
rs73838643 lBF = `0` Chr`4` : `105,822,559`	0.001	0.999	0.001
rs192046469 lBF = `0` Chr`4` : `54,944,743`	0.001	0.999	0.001
rs186699656 lBF = `0` Chr`4` : `147,040,943`	0.001	0.999	0.001
rs77285130 lBF = `0` Chr`4` : `105,729,020`	0.001	0.999	0.001
rs76187983 lBF = `0` Chr`4` : `105,853,122`	0.001	0.999	0.001
rs17643636 lBF = `0` Chr`4` : `122,921,045`	0.001	0.999	0.001
rs1512282 lBF = `0` Chr`4` : `145,431,497`	0.001	0.999	0.001
rs140671052 lBF = `0` Chr`4` : `93,101,088`	0.001	0.999	0.001
rs73838636 lBF = `0` Chr`4` : `105,806,096`	0.001	0.999	0.001
rs74341662 lBF = `0` Chr`4` : `105,879,194`	0.001	0.999	0.001
rs193113980 lBF = `0` Chr`4` : `54,889,383`	0.001	0.999	0.001
rs73839334 lBF = `0` Chr`4` : `105,651,538`	0.001	0.999	0.001
rs144575900 lBF = `0` Chr`4` : `58,872,912`	0.001	0.999	0.001
rs190569495 lBF = `0` Chr`4` : `4,657,542`	0.001	0.999	0.001
rs12510524 lBF = `-0.00000937` Chr`4` : `8,643,085`	0.000	0.999	0.001
rs10026364 lBF = `-0.00359658` Chr`4` : `135,522,740`	0.000	0.999	0.001
rs2070011 lBF = `11.2989` Chr`4` : `155,511,897`	0.001	0.999	0.000
rs17623373 lBF = `0.107538` Chr`4` : `185,121,733`	0.001	0.999	0.000
rs17031671 lBF = `-0.000013` Chr`4` : `155,389,247`	0.001	0.999	0.000
rs141644443 lBF = `-0.00001439` Chr`4` : `147,976,724`	0.000	0.999	0.001
rs17002342 lBF = `-0.00001526` Chr`4` : `77,955,205`	0.000	0.999	0.001
rs11724804 lBF = `-0.0185699` Chr`4` : `965,779`	0.001	0.999	0.000
rs77708442 lBF = `-0.00005477` Chr`4` : `153,896,160`	0.001	0.999	0.000
rs2659546 lBF = `0.126758` Chr`4` : `102,037,719`	0.001	0.999	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.001	0.999	0.000
rs2636697 lBF = `0.0150892` Chr`4` : `106,297,513`	0.001	0.999	0.000
rs115809613 lBF = `-0.00077684` Chr`4` : `99,892,475`	0.001	0.999	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.001	0.999	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.001	0.999	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.001	0.999	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.001	0.999	0.000
rs3796619 lBF = `-0.00944804` Chr`4` : `1,095,281`	0.000	0.999	0.001
rs1528010 lBF = `-0.05794` Chr`4` : `99,668,463`	0.001	0.999	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`)