TreeWAS – [K75.9] Inflammatory liver disease, unspecified

Variant effects

Click on a variant to see its association results.

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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
rs62103177 lBF = `1.05415` Chr`18` : `77,624,479`	0.000	0.234	0.766
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.761	0.239	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.627	0.373	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.607	0.393	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.607	0.393	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.587	0.413	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.581	0.419	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.569	0.431	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.568	0.432	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.566	0.434	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.536	0.464	0.000
rs7240392 lBF = `5.36543` Chr`18` : `43,198,141`	0.527	0.473	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.527	0.473	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.519	0.480	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.503	0.497	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.493	0.507	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.483	0.517	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.478	0.522	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.465	0.534	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.464	0.536	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.461	0.539	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.461	0.539	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.451	0.549	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.445	0.554	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.444	0.556	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.436	0.564	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.427	0.573	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.424	0.576	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.412	0.587	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.407	0.593	0.000
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.403	0.597	0.000
rs12968116 lBF = `3.23977` Chr`18` : `55,322,502`	0.000	0.597	0.403
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.381	0.619	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.380	0.619	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.379	0.621	0.000
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.373	0.627	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.360	0.640	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.344	0.656	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.338	0.662	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.337	0.663	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.324	0.675	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.315	0.685	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.311	0.689	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.306	0.694	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.304	0.696	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.293	0.707	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.288	0.712	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.259	0.741	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.254	0.746	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.248	0.751	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.197	0.803	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.191	0.809	0.000
rs80191532 lBF = `12.2522` Chr`18` : `12,752,868`	0.178	0.822	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.165	0.834	0.001
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.159	0.841	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.146	0.854	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.140	0.859	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.140	0.860	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.140	0.860	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.117	0.883	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.109	0.890	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.108	0.891	0.000
rs4503880 lBF = `0.0679007` Chr`18` : `56,084,054`	0.000	0.907	0.093
rs2542151 lBF = `13.7217` Chr`18` : `12,779,947`	0.091	0.909	0.000
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.085	0.915	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.082	0.918	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.078	0.921	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.076	0.924	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.058	0.942	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.054	0.946	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.053	0.947	0.000
rs1893217 lBF = `16.5233` Chr`18` : `12,809,340`	0.052	0.948	0.000
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.051	0.948	0.000
rs188403275 lBF = `0.470526` Chr`18` : `35,015,148`	0.051	0.949	0.000
rs11082304 lBF = `0.0118008` Chr`18` : `20,720,973`	0.000	0.958	0.042
rs9951150 lBF = `1.81007` Chr`18` : `52,821,124`	0.041	0.959	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.038	0.962	0.000
rs4800353 lBF = `0.237395` Chr`18` : `19,654,137`	0.037	0.962	0.001
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.037	0.963	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.037	0.963	0.000
rs8083786 lBF = `2.85044` Chr`18` : `12,881,361`	0.036	0.964	0.000
rs17782904 lBF = `-0.0277588` Chr`18` : `42,313,710`	0.000	0.966	0.034
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.033	0.966	0.000
rs60241046 lBF = `0.389149` Chr`18` : `31,390,868`	0.031	0.969	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.027	0.973	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.019	0.980	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.019	0.981	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.018	0.981	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.017	0.983	0.000
rs4940203 lBF = `-0.0457266` Chr`18` : `50,192,396`	0.017	0.983	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.015	0.984	0.002
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.014	0.986	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.014	0.986	0.000
rs7237497 lBF = `11.9138` Chr`18` : `12,777,325`	0.000	0.986	0.013
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.013	0.987	0.000
rs2847278 lBF = `11.9236` Chr`18` : `12,778,715`	0.000	0.987	0.013
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.012	0.987	0.000
rs9952991 lBF = `11.7356` Chr`18` : `12,780,464`	0.000	0.987	0.013
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.012	0.987	0.000
rs1291183 lBF = `-0.0259174` Chr`18` : `849,178`	0.012	0.988	0.000
rs79588679 lBF = `2.93535` Chr`18` : `19,907,770`	0.012	0.988	0.000
rs11874716 lBF = `0.150594` Chr`18` : `52,750,688`	0.000	0.990	0.010
rs4801131 lBF = `0.139039` Chr`18` : `52,752,700`	0.000	0.990	0.010
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.010	0.990	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.009	0.990	0.000
rs17651157 lBF = `0.0272524` Chr`18` : `34,107,452`	0.000	0.991	0.009
rs62096106 lBF = `-0.0161061` Chr`18` : `59,838,919`	0.000	0.991	0.009
rs12966547 lBF = `0.122406` Chr`18` : `52,752,017`	0.000	0.991	0.009
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.008	0.991	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.008	0.991	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.007	0.993	0.000
rs7226677 lBF = `-0.0311434` Chr`18` : `278,796`	0.007	0.993	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.007	0.993	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.007	0.993	0.000
rs17674580 lBF = `-0.0361308` Chr`18` : `43,309,911`	0.000	0.993	0.007
rs4799964 lBF = `0.704227` Chr`18` : `27,985,479`	0.006	0.994	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.000	0.994	0.006
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.000	0.994	0.006
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.006	0.994	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.005	0.995	0.000
rs4891159 lBF = `0.0491863` Chr`18` : `74,101,941`	0.005	0.995	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.005	0.995	0.000
rs673783 lBF = `-0.006727` Chr`18` : `2,825,418`	0.000	0.996	0.004
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.004	0.996	0.000
rs970510 lBF = `-0.0559925` Chr`18` : `69,479,921`	0.004	0.996	0.000
rs72926932 lBF = `-0.00277141` Chr`18` : `53,050,646`	0.004	0.996	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.004	0.996	0.000
rs2980976 lBF = `0.0327223` Chr`18` : `60,080,112`	0.004	0.996	0.000
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.003	0.996	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.004	0.996	0.000
rs10775480 lBF = `-0.09977` Chr`18` : `43,317,282`	0.004	0.996	0.000
rs7238033 lBF = `-0.0992199` Chr`18` : `43,316,966`	0.004	0.996	0.000
rs12955474 lBF = `-0.0227347` Chr`18` : `57,152,038`	0.003	0.997	0.000
rs9947276 lBF = `-0.0407726` Chr`18` : `72,492,689`	0.003	0.997	0.000
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.003	0.997	0.000
rs8083633 lBF = `0.0866349` Chr`18` : `3,522,006`	0.003	0.997	0.000
rs41475954 lBF = `1.09592` Chr`18` : `35,085,733`	0.003	0.997	0.000
rs7236632 lBF = `-0.0485542` Chr`18` : `55,434,202`	0.000	0.997	0.003
rs62100765 lBF = `5.27252` Chr`18` : `50,735,418`	0.003	0.997	0.000
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.002	0.997	0.000
rs8088420 lBF = `-0.0330147` Chr`18` : `56,511,908`	0.003	0.997	0.000
rs62100766 lBF = `5.58248` Chr`18` : `50,737,358`	0.002	0.997	0.000
rs56728521 lBF = `-0.0617335` Chr`18` : `1,984,421`	0.000	0.998	0.002
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.998	0.002
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.002	0.998	0.000
rs12458491 lBF = `0.0419281` Chr`18` : `35,307,820`	0.002	0.998	0.000
rs11082671 lBF = `-0.0457476` Chr`18` : `45,865,597`	0.002	0.998	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.002	0.998	0.000
rs8084580 lBF = `5.13246` Chr`18` : `4,106,522`	0.000	0.998	0.002
rs644435 lBF = `0.325142` Chr`18` : `355,944`	0.002	0.998	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.002	0.998	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.002	0.998	0.000
rs12604324 lBF = `-0.00214165` Chr`18` : `21,744,432`	0.000	0.998	0.002
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	0.998	0.002
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.002	0.998	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.002	0.998	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.002	0.998	0.000
rs10503015 lBF = `0.00963828` Chr`18` : `55,175,143`	0.002	0.998	0.000
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.001	0.998	0.000
rs7239679 lBF = `-0.0971045` Chr`18` : `10,443,693`	0.002	0.998	0.000
rs62091368 lBF = `0.133303` Chr`18` : `514,471`	0.002	0.998	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.000	0.998	0.001
rs141348977 lBF = `-0.0340627` Chr`18` : `3,107,404`	0.000	0.998	0.001
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.000	0.998	0.002
rs9635963 lBF = `0.0164355` Chr`18` : `21,749,615`	0.002	0.998	0.000
rs4263037 lBF = `-0.0181179` Chr`18` : `60,016,233`	0.001	0.998	0.000
rs1941184 lBF = `-0.0248336` Chr`18` : `29,038,123`	0.000	0.998	0.002
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.001	0.998	0.001
rs1970671 lBF = `0.025975` Chr`18` : `52,863,108`	0.000	0.999	0.001
rs7232775 lBF = `-0.0944484` Chr`18` : `43,202,404`	0.001	0.999	0.000
rs4573996 lBF = `0.0575841` Chr`18` : `76,494,592`	0.000	0.999	0.001
rs4800279 lBF = `0.033325` Chr`18` : `25,070,355`	0.001	0.999	0.000
rs12458130 lBF = `0.124301` Chr`18` : `8,667,061`	0.000	0.999	0.001
rs1126214 lBF = `-0.0811569` Chr`18` : `28,639,548`	0.001	0.999	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.000	0.999	0.001
rs555267 lBF = `0.0256763` Chr`18` : `40,992,698`	0.000	0.999	0.001
rs1667255 lBF = `2.62488` Chr`18` : `29,187,279`	0.000	0.999	0.001
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.001	0.999	0.001
rs6506284 lBF = `0.00043585` Chr`18` : `5,030,023`	0.001	0.999	0.000
rs7238309 lBF = `0.00002807` Chr`18` : `55,145,692`	0.001	0.999	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.001	0.999	0.000
rs117535166 lBF = `1.25676` Chr`18` : `68,069,271`	0.000	0.999	0.001
rs7227892 lBF = `-0.0326973` Chr`18` : `46,336,702`	0.001	0.999	0.001
rs9947662 lBF = `-0.0367082` Chr`18` : `44,860,264`	0.000	0.999	0.001
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.001	0.999	0.000
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs1261117 lBF = `-0.00693224` Chr`18` : `52,949,657`	0.001	0.999	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.001	0.999	0.000
rs2187324 lBF = `-0.0884729` Chr`18` : `55,491,965`	0.001	0.999	0.000
rs9947295 lBF = `0.00305306` Chr`18` : `11,759,432`	0.000	0.999	0.001
rs1436904 lBF = `-0.114988` Chr`18` : `24,570,667`	0.000	0.999	0.001
rs11082321 lBF = `-0.0346267` Chr`18` : `20,776,651`	0.001	0.999	0.000
rs73431975 lBF = `0.0273816` Chr`18` : `42,968,534`	0.001	0.999	0.000
rs28877609 lBF = `0.0005859` Chr`18` : `2,865,505`	0.001	0.999	0.000
rs681383 lBF = `-0.0461021` Chr`18` : `8,323,984`	0.001	0.999	0.000
rs11661646 lBF = `0.617595` Chr`18` : `65,483,812`	0.001	0.999	0.000
rs7237244 lBF = `-0.0164185` Chr`18` : `21,430,744`	0.001	0.999	0.000
rs8098064 lBF = `-0.00017223` Chr`18` : `8,209,269`	0.001	0.999	0.000
rs2049186 lBF = `-0.0288966` Chr`18` : `32,015,228`	0.001	0.999	0.000
rs715170 lBF = `-0.0458681` Chr`18` : `53,795,514`	0.000	0.999	0.001
rs9966832 lBF = `0.0219014` Chr`18` : `23,405,188`	0.000	0.999	0.001
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rs10871777 lBF = `10.7023` Chr`18` : `57,851,763`	0.000	1.000	0.000
rs17594526 lBF = `0.69701` Chr`18` : `53,058,238`	0.000	1.000	0.000
rs11152369 lBF = `0.448202` Chr`18` : `53,066,328`	0.000	1.000	0.000
rs7231996 lBF = `0.139196` Chr`18` : `71,266,519`	0.000	1.000	0.000
rs7506840 lBF = `0.11647` Chr`18` : `6,522,756`	0.000	1.000	0.000
rs1992269 lBF = `-0.0215628` Chr`18` : `1,872,317`	0.000	1.000	0.000
rs9951602 lBF = `-0.029318` Chr`18` : `76,657,779`	0.000	1.000	0.000
rs8098316 lBF = `-0.0332384` Chr`18` : `20,672,555`	0.000	1.000	0.000
rs264272 lBF = `-0.0335072` Chr`18` : `10,923,808`	0.000	1.000	0.000
rs2957128 lBF = `-0.0531889` Chr`18` : `60,060,735`	0.000	1.000	0.000
rs58882377 lBF = `-0.0884508` Chr`18` : `3,465,132`	0.000	1.000	0.000
rs113285159 lBF = `5.01196` Chr`18` : `40,971,984`	0.000	1.000	0.000
rs9960150 lBF = `1.82464` Chr`18` : `48,008,440`	0.000	1.000	0.000
rs7243357 lBF = `0.412815` Chr`18` : `56,883,319`	0.000	1.000	0.000
rs11877878 lBF = `0.22366` Chr`18` : `23,764,235`	0.000	1.000	0.000
rs7235840 lBF = `0.173722` Chr`18` : `73,725,200`	0.000	1.000	0.000
rs11664536 lBF = `0.0347783` Chr`18` : `5,578,982`	0.000	1.000	0.000
rs11875185 lBF = `0.0153574` Chr`18` : `55,627,840`	0.000	1.000	0.000
rs17750321 lBF = `0.00425969` Chr`18` : `35,078,682`	0.000	1.000	0.000
rs2639990 lBF = `0.00060051` Chr`18` : `72,915,551`	0.000	1.000	0.000
rs35815903 lBF = `-0.00326249` Chr`18` : `69,274,571`	0.000	1.000	0.000
rs4890489 lBF = `-0.0603201` Chr`18` : `42,431,244`	0.000	1.000	0.000
rs1557305 lBF = `-0.107878` Chr`18` : `4,721,359`	0.000	1.000	0.000
rs613872 lBF = `11.527` Chr`18` : `53,210,302`	0.000	1.000	0.000
rs56308049 lBF = `5.33128` Chr`18` : `27,976,836`	0.000	1.000	0.000
rs1187264 lBF = `0.165543` Chr`18` : `35,289,647`	0.000	1.000	0.000
rs73439953 lBF = `0.0860121` Chr`18` : `56,602,702`	0.000	1.000	0.000
rs589398 lBF = `0.0353588` Chr`18` : `5,311,892`	0.000	1.000	0.000
rs7233060 lBF = `0.033984` Chr`18` : `77,392,379`	0.000	1.000	0.000
rs9949617 lBF = `-0.0181437` Chr`18` : `20,879,217`	0.000	1.000	0.000
rs1943199 lBF = `-0.029086` Chr`18` : `73,462,854`	0.000	1.000	0.000
rs9807334 lBF = `-0.0439374` Chr`18` : `48,524,161`	0.000	1.000	0.000
rs12959570 lBF = `-0.0687857` Chr`18` : `54,333,584`	0.000	1.000	0.000
rs527616 lBF = `-0.0720427` Chr`18` : `24,337,424`	0.000	1.000	0.000
rs6507022 lBF = `-0.0749855` Chr`18` : `30,998,131`	0.000	1.000	0.000
rs17700144 lBF = `7.11232` Chr`18` : `57,811,982`	0.000	1.000	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.000	1.000	0.000
rs4632195 lBF = `4.33747` Chr`18` : `50,746,748`	0.000	1.000	0.000
rs11082438 lBF = `0.212302` Chr`18` : `42,865,210`	0.000	1.000	0.000
rs11564386 lBF = `0.195996` Chr`18` : `25,700,791`	0.000	1.000	0.000
rs9952762 lBF = `0.0275078` Chr`18` : `73,401,650`	0.000	1.000	0.000
rs8097810 lBF = `0.0150825` Chr`18` : `23,785,648`	0.000	1.000	0.000
rs1826508 lBF = `0.0032493` Chr`18` : `1,206,984`	0.000	1.000	0.000
rs12457254 lBF = `-0.0200572` Chr`18` : `55,637,712`	0.000	1.000	0.000
rs1372474 lBF = `-0.0290872` Chr`18` : `51,116,832`	0.000	1.000	0.000
rs12185468 lBF = `-0.0310759` Chr`18` : `8,479,685`	0.000	1.000	0.000
rs605920 lBF = `-0.100958` Chr`18` : `62,884,918`	0.000	1.000	0.000
rs11662297 lBF = `-0.109424` Chr`18` : `6,668,050`	0.000	1.000	0.000
rs11152213 lBF = `10.5482` Chr`18` : `57,852,948`	0.000	1.000	0.000
rs77292326 lBF = `0.22913` Chr`18` : `11,737,231`	0.000	1.000	0.000
rs9675861 lBF = `-0.00714888` Chr`18` : `7,172,523`	0.000	1.000	0.000
rs597503 lBF = `-0.0247466` Chr`18` : `6,939,947`	0.000	1.000	0.000
rs12965577 lBF = `-0.0398172` Chr`18` : `31,675,680`	0.000	1.000	0.000
rs2920001 lBF = `-0.0767493` Chr`18` : `28,789,725`	0.000	1.000	0.000
rs10513968 lBF = `-0.0867442` Chr`18` : `67,283,141`	0.000	1.000	0.000
rs337718 lBF = `-0.0884433` Chr`18` : `69,774,278`	0.000	1.000	0.000
rs4131805 lBF = `-0.100271` Chr`18` : `26,059,112`	0.000	1.000	0.000
rs2048485 lBF = `58.085` Chr`18` : `42,090,667`	0.000	1.000	0.000
rs112049532 lBF = `8.33656` Chr`18` : `11,234,574`	0.000	1.000	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.000	1.000	0.000
rs16949825 lBF = `0.945855` Chr`18` : `46,227,444`	0.000	1.000	0.000
rs4368253 lBF = `0.4764` Chr`18` : `57,622,287`	0.000	1.000	0.000
rs17088439 lBF = `0.409643` Chr`18` : `71,522,091`	0.000	1.000	0.000
rs7235528 lBF = `0.136261` Chr`18` : `40,058,882`	0.000	1.000	0.000
rs1623523 lBF = `0.103815` Chr`18` : `3,328,746`	0.000	1.000	0.000
rs10514168 lBF = `0.0067863` Chr`18` : `73,098,949`	0.000	1.000	0.000
rs72923818 lBF = `-0.00088852` Chr`18` : `46,683,754`	0.000	1.000	0.000
rs4799088 lBF = `-0.0108338` Chr`18` : `77,573,548`	0.000	1.000	0.000
rs4528660 lBF = `-0.0144934` Chr`18` : `3,043,516`	0.000	1.000	0.000
rs56775891 lBF = `-0.0160958` Chr`18` : `77,575,613`	0.000	1.000	0.000
rs16951095 lBF = `-0.0255469` Chr`18` : `7,042,911`	0.000	1.000	0.000
rs1879352 lBF = `-0.0341833` Chr`18` : `2,498,054`	0.000	1.000	0.000
rs9949121 lBF = `-0.0377958` Chr`18` : `42,306,884`	0.000	1.000	0.000
rs1517037 lBF = `-0.0381763` Chr`18` : `56,878,274`	0.000	1.000	0.000
rs1619249 lBF = `-0.0439138` Chr`18` : `49,190,644`	0.000	1.000	0.000
rs7244261 lBF = `-0.0766028` Chr`18` : `66,214,696`	0.000	1.000	0.000
rs17440727 lBF = `-0.0826275` Chr`18` : `6,990,995`	0.000	1.000	0.000
rs12457996 lBF = `-0.087809` Chr`18` : `40,872,273`	0.000	1.000	0.000
rs2002842 lBF = `-0.106103` Chr`18` : `76,409,597`	0.000	1.000	0.000
rs12970134 lBF = `8.45951` Chr`18` : `57,884,750`	0.000	1.000	0.000
rs12955983 lBF = `7.91277` Chr`18` : `57,872,989`	0.000	1.000	0.000
rs41452747 lBF = `6.20014` Chr`18` : `52,918,380`	0.000	1.000	0.000
rs4890568 lBF = `1.51705` Chr`18` : `43,231,622`	0.000	1.000	0.000
rs1460196 lBF = `0.044136` Chr`18` : `50,215,412`	0.000	1.000	0.000
rs7226835 lBF = `0.0320584` Chr`18` : `37,165,305`	0.000	1.000	0.000
rs9636107 lBF = `0.0137675` Chr`18` : `53,200,117`	0.000	1.000	0.000
rs17077540 lBF = `0.0137266` Chr`18` : `65,285,279`	0.000	1.000	0.000
rs144653651 lBF = `0.0105332` Chr`18` : `12,909,504`	0.000	1.000	0.000
rs11082098 lBF = `0.00614239` Chr`18` : `36,198,732`	0.000	1.000	0.000
rs6508673 lBF = `-0.0234076` Chr`18` : `27,956,443`	0.000	1.000	0.000
rs1187220 lBF = `-0.0354844` Chr`18` : `35,351,726`	0.000	1.000	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.000	1.000	0.000
rs1618992 lBF = `0.12992` Chr`18` : `26,246,051`	0.000	1.000	0.000
rs12455557 lBF = `0.122909` Chr`18` : `46,317,088`	0.000	1.000	0.000
rs1787200 lBF = `0.113827` Chr`18` : `46,587,654`	0.000	1.000	0.000
rs13353224 lBF = `0.113731` Chr`18` : `65,400,425`	0.000	1.000	0.000
rs10503019 lBF = `0.0660409` Chr`18` : `55,454,377`	0.000	1.000	0.000
rs1704734 lBF = `0.0103991` Chr`18` : `66,314,072`	0.000	1.000	0.000
rs1995138 lBF = `-0.0203531` Chr`18` : `51,526,568`	0.000	1.000	0.000
rs4553720 lBF = `-0.0567951` Chr`18` : `62,170,726`	0.000	1.000	0.000
rs12967884 lBF = `-0.0569123` Chr`18` : `76,591,635`	0.000	1.000	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 X0086

log Bayes Factor = 131.002

contains 8 variants

0.1103

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0585

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9990

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9924

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9910

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9902

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9862

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9848

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9840

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9812

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9781

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9773

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9757

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9697

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9661

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9658

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9619

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9584

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9539

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9530

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9510

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9460

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9436

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9386

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9370

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9368

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9330

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9274

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9211

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9093

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9088

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9075

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9001

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8987

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8986

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8984

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8944

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8943

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8931

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8845

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8751

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8715

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8658

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8585

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8570

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8512

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8424

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8295

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8275

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8170

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8138

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8111

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7985

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.7933

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7928

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7888

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7848

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7794

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7789

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7758

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7723

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7678

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7558

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7553

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7511

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7470

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7429

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7390

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7374

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7338

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7330

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7310

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7278

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7264

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7249

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7217

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7212

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7171

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7113

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7098

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7095

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.7049

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7018

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6932

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6858

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6783

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6763

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6700

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6700

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6691

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6522

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6455

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6241

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6195

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6084

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6067

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5734

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5723

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5722

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5637

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5586

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5455

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4904

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4895

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4885

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4825

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4798

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4718

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4363

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4150

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4070

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4030

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4027

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3905

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3824

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3740

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3653

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3605

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3599

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3499

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3153

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3125

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3102

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2889

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2880

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2833

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2737

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2629

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2520

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2073

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1993

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1780

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1737

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1664

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1612

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1566

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1367

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1346

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1342

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1306

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1239

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1096

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0979

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0958

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0916

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0914

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0828

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0753

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0635

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0522

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0519

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)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)