TreeWAS – [K76.0] Fatty (change of) liver, not elsewhere classified

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	0.183	0.817
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.808	0.192	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.770	0.230	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.744	0.256	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.736	0.264	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.706	0.294	0.000
rs7240392 lBF = `5.36543` Chr`18` : `43,198,141`	0.635	0.365	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.630	0.370	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.596	0.404	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.582	0.418	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.539	0.461	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.529	0.471	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.526	0.474	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.516	0.483	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.500	0.500	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.498	0.502	0.000
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.491	0.509	0.000
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.488	0.512	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.486	0.514	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.483	0.517	0.000
rs12968116 lBF = `3.23977` Chr`18` : `55,322,502`	0.000	0.537	0.463
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.452	0.548	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.421	0.579	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.410	0.590	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.401	0.599	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.390	0.610	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.377	0.622	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.374	0.626	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.330	0.670	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.327	0.673	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.318	0.682	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.310	0.690	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.304	0.696	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.304	0.696	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.284	0.716	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.281	0.719	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.248	0.751	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.244	0.756	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.232	0.768	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.224	0.776	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.200	0.800	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.185	0.815	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.181	0.818	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.172	0.827	0.001
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.171	0.829	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.166	0.833	0.000
rs4503880 lBF = `0.0679007` Chr`18` : `56,084,054`	0.000	0.840	0.160
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.157	0.842	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.151	0.849	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.149	0.851	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.145	0.855	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.145	0.855	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.144	0.856	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.144	0.856	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.139	0.861	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.129	0.870	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.123	0.877	0.000
rs80191532 lBF = `12.2522` Chr`18` : `12,752,868`	0.117	0.883	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.106	0.893	0.000
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.085	0.915	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.081	0.919	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.080	0.920	0.001
rs4800353 lBF = `0.237395` Chr`18` : `19,654,137`	0.070	0.930	0.000
rs4263037 lBF = `-0.0181179` Chr`18` : `60,016,233`	0.066	0.934	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.051	0.941	0.008
rs4574025 lBF = `-0.0168208` Chr`18` : `60,009,814`	0.058	0.942	0.000
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.056	0.944	0.000
rs188403275 lBF = `0.470526` Chr`18` : `35,015,148`	0.054	0.946	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.045	0.955	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.038	0.962	0.000
rs60241046 lBF = `0.389149` Chr`18` : `31,390,868`	0.038	0.962	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.036	0.963	0.000
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.033	0.966	0.000
rs1291183 lBF = `-0.0259174` Chr`18` : `849,178`	0.033	0.967	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.033	0.967	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.030	0.970	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.029	0.971	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.025	0.975	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.022	0.978	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.019	0.981	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.016	0.984	0.000
rs62096106 lBF = `-0.0161061` Chr`18` : `59,838,919`	0.000	0.985	0.015
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.013	0.987	0.000
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.011	0.989	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.011	0.989	0.000
rs2542151 lBF = `13.7217` Chr`18` : `12,779,947`	0.010	0.990	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.010	0.990	0.000
rs75116816 lBF = `-0.0583398` Chr`18` : `47,289,049`	0.009	0.991	0.000
rs9951150 lBF = `1.81007` Chr`18` : `52,821,124`	0.009	0.991	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.008	0.991	0.001
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.008	0.992	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.008	0.992	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.008	0.992	0.000
rs17782904 lBF = `-0.0277588` Chr`18` : `42,313,710`	0.000	0.993	0.007
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.007	0.993	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.007	0.993	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.007	0.993	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.007	0.993	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.006	0.994	0.001
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.006	0.994	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.006	0.994	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.005	0.994	0.001
rs7226677 lBF = `-0.0311434` Chr`18` : `278,796`	0.006	0.994	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.006	0.994	0.000
rs4799964 lBF = `0.704227` Chr`18` : `27,985,479`	0.005	0.995	0.000
rs9947276 lBF = `-0.0407726` Chr`18` : `72,492,689`	0.005	0.995	0.000
rs1893217 lBF = `16.5233` Chr`18` : `12,809,340`	0.005	0.995	0.000
rs4940203 lBF = `-0.0457266` Chr`18` : `50,192,396`	0.004	0.996	0.000
rs77990856 lBF = `-0.0225233` Chr`18` : `48,016,887`	0.000	0.996	0.004
rs56728521 lBF = `-0.0617335` Chr`18` : `1,984,421`	0.000	0.996	0.004
rs7227892 lBF = `-0.0326973` Chr`18` : `46,336,702`	0.004	0.996	0.000
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.003	0.996	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.004	0.996	0.000
rs7232775 lBF = `-0.0944484` Chr`18` : `43,202,404`	0.004	0.996	0.000
rs9966832 lBF = `0.0219014` Chr`18` : `23,405,188`	0.000	0.996	0.004
rs8099014 lBF = `0.0458431` Chr`18` : `56,109,859`	0.000	0.997	0.003
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.003	0.997	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.003	0.997	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.003	0.997	0.000
rs2847281 lBF = `1.47314` Chr`18` : `12,821,593`	0.000	0.997	0.003
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.002	0.997	0.001
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.002	0.997	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.000	0.997	0.003
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.997	0.002
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.002	0.998	0.000
rs16950303 lBF = `-0.00279929` Chr`18` : `46,582,359`	0.000	0.998	0.002
rs12605822 lBF = `-0.0419833` Chr`18` : `9,296,524`	0.002	0.998	0.000
rs3906453 lBF = `-0.0524443` Chr`18` : `51,258,338`	0.000	0.998	0.002
rs11661646 lBF = `0.617595` Chr`18` : `65,483,812`	0.002	0.998	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.002	0.998	0.000
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	0.998	0.002
rs1787200 lBF = `0.113827` Chr`18` : `46,587,654`	0.002	0.998	0.000
rs144081173 lBF = `0.0948435` Chr`18` : `47,245,225`	0.002	0.998	0.000
rs12165098 lBF = `-0.0207157` Chr`18` : `36,680,499`	0.000	0.998	0.002
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.000	0.998	0.002
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.001	0.998	0.000
rs7227483 lBF = `-0.0802931` Chr`18` : `43,187,130`	0.002	0.998	0.000
rs6508367 lBF = `0.315355` Chr`18` : `22,971,857`	0.002	0.998	0.000
rs144098432 lBF = `0.158389` Chr`18` : `51,816,394`	0.002	0.998	0.000
rs9951026 lBF = `-0.109832` Chr`18` : `47,109,693`	0.000	0.998	0.002
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.002	0.998	0.000
rs12970291 lBF = `0.0586602` Chr`18` : `73,017,234`	0.001	0.998	0.000
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.001	0.998	0.001
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.001	0.999	0.000
rs1970671 lBF = `0.025975` Chr`18` : `52,863,108`	0.000	0.999	0.001
rs9952991 lBF = `11.7356` Chr`18` : `12,780,464`	0.000	0.999	0.001
rs141348977 lBF = `-0.0340627` Chr`18` : `3,107,404`	0.000	0.999	0.001
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.001	0.999	0.000
rs2847278 lBF = `11.9236` Chr`18` : `12,778,715`	0.000	0.999	0.001
rs17651157 lBF = `0.0272524` Chr`18` : `34,107,452`	0.000	0.999	0.001
rs7228133 lBF = `-0.0646677` Chr`18` : `4,539,085`	0.000	0.999	0.001
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.001	0.999	0.000
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
rs11662748 lBF = `-0.0461203` Chr`18` : `5,762,618`	0.001	0.999	0.000
rs2980976 lBF = `0.0327223` Chr`18` : `60,080,112`	0.001	0.999	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.001	0.999	0.000
rs12458130 lBF = `0.124301` Chr`18` : `8,667,061`	0.000	0.999	0.001
rs1351435 lBF = `0.186306` Chr`18` : `49,404,964`	0.000	0.999	0.001
rs75687134 lBF = `0.409603` Chr`18` : `65,472,043`	0.001	0.999	0.000
rs11660238 lBF = `0.398846` Chr`18` : `65,470,134`	0.001	0.999	0.000
rs74789784 lBF = `0.397214` Chr`18` : `65,471,518`	0.001	0.999	0.000
rs1050631 lBF = `-0.010527` Chr`18` : `33,694,120`	0.001	0.999	0.000
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.000	0.999	0.001
rs17085106 lBF = `0.00071213` Chr`18` : `69,439,073`	0.000	0.999	0.001
rs41475954 lBF = `1.09592` Chr`18` : `35,085,733`	0.001	0.999	0.000
rs28877609 lBF = `0.0005859` Chr`18` : `2,865,505`	0.001	0.999	0.000
rs4573996 lBF = `0.0575841` Chr`18` : `76,494,592`	0.000	0.999	0.001
rs8098064 lBF = `-0.00017223` Chr`18` : `8,209,269`	0.001	0.999	0.000
rs79588679 lBF = `2.93535` Chr`18` : `19,907,770`	0.001	0.999	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.001	0.999	0.000
rs117535166 lBF = `1.25676` Chr`18` : `68,069,271`	0.000	0.999	0.001
rs1539809 lBF = `0.313873` Chr`18` : `5,529,675`	0.000	0.999	0.001
rs143037915 lBF = `0.00006957` Chr`18` : `44,973,221`	0.001	0.999	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.001	0.999	0.000
rs2168303 lBF = `0.00005588` Chr`18` : `58,375,934`	0.001	0.999	0.000
rs9950590 lBF = `0.00003279` Chr`18` : `8,043,661`	0.001	0.999	0.000
rs9948784 lBF = `0` Chr`18` : `72,897,161`	0.001	0.999	0.001
rs148187869 lBF = `0` Chr`18` : `25,261,838`	0.001	0.999	0.001
rs190343823 lBF = `0` Chr`18` : `33,835,336`	0.001	0.999	0.001
rs192178588 lBF = `0` Chr`18` : `25,223,007`	0.001	0.999	0.001
rs145717157 lBF = `0` Chr`18` : `26,713,277`	0.001	0.999	0.001
rs148138116 lBF = `0` Chr`18` : `53,201,480`	0.001	0.999	0.001
rs138098194 lBF = `0` Chr`18` : `64,507,408`	0.001	0.999	0.001
rs141475580 lBF = `0` Chr`18` : `5,936,481`	0.001	0.999	0.001
rs146111930 lBF = `0` Chr`18` : `25,262,370`	0.001	0.999	0.001
rs75433892 lBF = `0` Chr`18` : `11,712,922`	0.001	0.999	0.001
rs116989867 lBF = `0` Chr`18` : `77,172,316`	0.001	0.999	0.001
rs148133787 lBF = `0` Chr`18` : `25,227,459`	0.001	0.999	0.001
rs141318925 lBF = `0` Chr`18` : `6,623,040`	0.001	0.999	0.001
rs184167040 lBF = `0` Chr`18` : `39,038,041`	0.001	0.999	0.001
rs190650493 lBF = `0` Chr`18` : `30,625,009`	0.001	0.999	0.001
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.001	0.999	0.000
rs77741790 lBF = `-0.00001874` Chr`18` : `6,894,475`	0.000	0.999	0.001
rs76752096 lBF = `-0.0000229` Chr`18` : `25,137,059`	0.000	0.999	0.001
rs9953852 lBF = `-0.0000316` Chr`18` : `33,097,960`	0.001	0.999	0.000
rs7243299 lBF = `-0.00003336` Chr`18` : `7,755,771`	0.001	0.999	0.000
rs8097810 lBF = `0.0150825` Chr`18` : `23,785,648`	0.000	0.999	0.001
rs1261117 lBF = `-0.00693224` Chr`18` : `52,949,657`	0.001	0.999	0.000
rs4891159 lBF = `0.0491863` Chr`18` : `74,101,941`	0.001	0.999	0.000
rs78192384 lBF = `-0.0025316` Chr`18` : `3,041,397`	0.000	0.999	0.001
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rs17232800 lBF = `0.0431282` Chr`18` : `66,292,259`	0.000	1.000	0.000
rs2406342 lBF = `0.0291026` Chr`18` : `74,488,280`	0.000	1.000	0.000
rs9952762 lBF = `0.0275078` Chr`18` : `73,401,650`	0.000	1.000	0.000
rs2124349 lBF = `0.0170278` Chr`18` : `65,017,100`	0.000	1.000	0.000
rs79828856 lBF = `-0.0126522` Chr`18` : `35,036,830`	0.000	1.000	0.000
rs1557351 lBF = `-0.0170027` Chr`18` : `54,752,314`	0.000	1.000	0.000
rs1539893 lBF = `-0.0278756` Chr`18` : `66,544,755`	0.000	1.000	0.000
rs970510 lBF = `-0.0559925` Chr`18` : `69,479,921`	0.000	1.000	0.000
rs1943940 lBF = `-0.0576769` Chr`18` : `71,705,192`	0.000	1.000	0.000
rs62097350 lBF = `-0.0665892` Chr`18` : `13,298,943`	0.000	1.000	0.000
rs4797996 lBF = `-0.0742342` Chr`18` : `2,507,425`	0.000	1.000	0.000
rs58882377 lBF = `-0.0884508` Chr`18` : `3,465,132`	0.000	1.000	0.000
rs2345595 lBF = `4.1268` Chr`18` : `1,818,385`	0.000	1.000	0.000
rs4890568 lBF = `1.51705` Chr`18` : `43,231,622`	0.000	1.000	0.000
rs7235528 lBF = `0.136261` Chr`18` : `40,058,882`	0.000	1.000	0.000
rs1618992 lBF = `0.12992` Chr`18` : `26,246,051`	0.000	1.000	0.000
rs1805081 lBF = `0.0703408` Chr`18` : `21,140,432`	0.000	1.000	0.000
rs1704734 lBF = `0.0103991` Chr`18` : `66,314,072`	0.000	1.000	0.000
rs10502868 lBF = `0.00560334` Chr`18` : `43,153,949`	0.000	1.000	0.000
rs4799088 lBF = `-0.0108338` Chr`18` : `77,573,548`	0.000	1.000	0.000
rs56775891 lBF = `-0.0160958` Chr`18` : `77,575,613`	0.000	1.000	0.000
rs1992269 lBF = `-0.0215628` Chr`18` : `1,872,317`	0.000	1.000	0.000
rs597503 lBF = `-0.0247466` Chr`18` : `6,939,947`	0.000	1.000	0.000
rs9961574 lBF = `-0.039267` Chr`18` : `8,536,116`	0.000	1.000	0.000
rs473976 lBF = `-0.0567698` Chr`18` : `40,418,431`	0.000	1.000	0.000
rs8093481 lBF = `-0.061598` Chr`18` : `10,695,157`	0.000	1.000	0.000
rs4798896 lBF = `-0.0619473` Chr`18` : `75,912,922`	0.000	1.000	0.000
rs1893154 lBF = `-0.0669518` Chr`18` : `905,125`	0.000	1.000	0.000
rs9963862 lBF = `-0.0724579` Chr`18` : `20,587,911`	0.000	1.000	0.000
rs17798991 lBF = `-0.102522` Chr`18` : `47,121,316`	0.000	1.000	0.000
rs35352860 lBF = `24.3441` Chr`18` : `46,453,754`	0.000	1.000	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.000	1.000	0.000
rs7231412 lBF = `0.776366` Chr`18` : `40,105,657`	0.000	1.000	0.000
rs7504990 lBF = `0.0630291` Chr`18` : `50,517,776`	0.000	1.000	0.000
rs2278331 lBF = `0.0445296` Chr`18` : `71,581,506`	0.000	1.000	0.000
rs6565887 lBF = `0.00863623` Chr`18` : `74,182,975`	0.000	1.000	0.000
rs2639990 lBF = `0.00060051` Chr`18` : `72,915,551`	0.000	1.000	0.000
rs7233332 lBF = `-0.0206989` Chr`18` : `9,784,914`	0.000	1.000	0.000
rs4800451 lBF = `-0.0407049` Chr`18` : `20,716,805`	0.000	1.000	0.000
rs403814 lBF = `-0.0540524` Chr`18` : `6,282,593`	0.000	1.000	0.000
rs12454023 lBF = `-0.0648155` Chr`18` : `56,009,604`	0.000	1.000	0.000
rs10853191 lBF = `-0.0750045` Chr`18` : `10,889,678`	0.000	1.000	0.000
rs7239883 lBF = `-0.0798279` Chr`18` : `40,147,671`	0.000	1.000	0.000
rs142429341 lBF = `-0.08346` Chr`18` : `31,441,920`	0.000	1.000	0.000
rs2187324 lBF = `-0.0884729` Chr`18` : `55,491,965`	0.000	1.000	0.000
rs529445 lBF = `-0.0902455` Chr`18` : `55,783,497`	0.000	1.000	0.000
rs72943036 lBF = `15.0243` Chr`18` : `60,845,776`	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
rs8089364 lBF = `7.59758` Chr`18` : `57,858,829`	0.000	1.000	0.000
rs62097986 lBF = `5.33339` Chr`18` : `50,818,827`	0.000	1.000	0.000
rs62095459 lBF = `5.05503` Chr`18` : `44,621,382`	0.000	1.000	0.000
rs11876941 lBF = `3.27545` Chr`18` : `50,906,031`	0.000	1.000	0.000
rs9304270 lBF = `1.42842` Chr`18` : `39,937,509`	0.000	1.000	0.000
rs12606068 lBF = `1.37012` Chr`18` : `65,191,491`	0.000	1.000	0.000
rs1346987 lBF = `0.787418` Chr`18` : `40,102,641`	0.000	1.000	0.000
rs6507939 lBF = `0.224144` Chr`18` : `47,176,261`	0.000	1.000	0.000
rs8090196 lBF = `0.155151` Chr`18` : `40,075,956`	0.000	1.000	0.000
rs7506045 lBF = `0.0511143` Chr`18` : `11,987,272`	0.000	1.000	0.000
rs17664267 lBF = `0.0349389` Chr`18` : `40,808,798`	0.000	1.000	0.000
rs11664536 lBF = `0.0347783` Chr`18` : `5,578,982`	0.000	1.000	0.000
rs9952641 lBF = `0.0229198` Chr`18` : `318,040`	0.000	1.000	0.000
rs8093763 lBF = `0.0196925` Chr`18` : `57,503,378`	0.000	1.000	0.000
rs12961799 lBF = `0.0175059` Chr`18` : `12,904,399`	0.000	1.000	0.000
rs17088339 lBF = `-0.0172204` Chr`18` : `71,476,133`	0.000	1.000	0.000
rs9949617 lBF = `-0.0181437` Chr`18` : `20,879,217`	0.000	1.000	0.000
rs3810046 lBF = `-0.021185` Chr`18` : `6,941,662`	0.000	1.000	0.000
rs4308051 lBF = `-0.0254337` Chr`18` : `20,735,461`	0.000	1.000	0.000
rs4369779 lBF = `-0.0254647` Chr`18` : `20,735,408`	0.000	1.000	0.000
rs2729409 lBF = `-0.0291495` Chr`18` : `28,141,688`	0.000	1.000	0.000
rs9959145 lBF = `-0.0319048` Chr`18` : `12,606,463`	0.000	1.000	0.000
rs7505290 lBF = `-0.0327581` Chr`18` : `74,183,562`	0.000	1.000	0.000
rs1940973 lBF = `-0.0337389` Chr`18` : `12,550,747`	0.000	1.000	0.000
rs4800452 lBF = `-0.0380228` Chr`18` : `20,727,611`	0.000	1.000	0.000
rs1120787 lBF = `-0.0384799` Chr`18` : `54,983,554`	0.000	1.000	0.000
rs4398173 lBF = `-0.0388361` Chr`18` : `6,941,108`	0.000	1.000	0.000
rs11082671 lBF = `-0.0457476` Chr`18` : `45,865,597`	0.000	1.000	0.000
rs681383 lBF = `-0.0461021` Chr`18` : `8,323,984`	0.000	1.000	0.000
rs4553720 lBF = `-0.0567951` Chr`18` : `62,170,726`	0.000	1.000	0.000
rs8089250 lBF = `-0.0638926` Chr`18` : `4,772,807`	0.000	1.000	0.000
rs12959570 lBF = `-0.0687857` Chr`18` : `54,333,584`	0.000	1.000	0.000
rs1944582 lBF = `-0.0780228` Chr`18` : `45,815,417`	0.000	1.000	0.000
rs948426 lBF = `-0.0787936` Chr`18` : `6,567,182`	0.000	1.000	0.000
rs10871777 lBF = `10.7023` Chr`18` : `57,851,763`	0.000	1.000	0.000
rs11152213 lBF = `10.5482` Chr`18` : `57,852,948`	0.000	1.000	0.000
rs571312 lBF = `10.5456` Chr`18` : `57,839,769`	0.000	1.000	0.000
rs476828 lBF = `10.3029` Chr`18` : `57,852,587`	0.000	1.000	0.000
rs663129 lBF = `10.1168` Chr`18` : `57,838,401`	0.000	1.000	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	1.000	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.000	1.000	0.000
rs7243357 lBF = `0.412815` Chr`18` : `56,883,319`	0.000	1.000	0.000
rs884205 lBF = `0.32864` Chr`18` : `60,054,857`	0.000	1.000	0.000
rs1978503 lBF = `0.237987` Chr`18` : `53,664,282`	0.000	1.000	0.000
rs7244245 lBF = `0.145515` Chr`18` : `8,931,652`	0.000	1.000	0.000
rs12455557 lBF = `0.122909` Chr`18` : `46,317,088`	0.000	1.000	0.000
rs10438978 lBF = `0.0708836` Chr`18` : `47,158,186`	0.000	1.000	0.000
rs12964323 lBF = `0.0316072` Chr`18` : `65,718,956`	0.000	1.000	0.000
rs10502431 lBF = `0.0171681` Chr`18` : `20,015,975`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1557

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

1.0000

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

1.0000

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9999

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9998

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9997

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9997

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9986

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9983

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9979

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9970

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9905

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9901

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9826

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9819

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9759

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9648

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9536

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9489

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9433

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.9316

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9019

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8840

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8626

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8251

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8243

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8012

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7885

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7832

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7637

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7624

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7599

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7356

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7134

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.6911

Cluster X0187

log Bayes Factor = 30.7009

contains 1 variants

0.6760

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6582

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6549

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6491

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6157

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5654

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5298

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5220

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4741

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4724

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4495

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4089

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3971

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3635

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3467

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3274

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3116

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3091

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2807

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2689

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2685

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2598

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2545

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2521

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2348

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2090

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1955

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1706

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1629

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1392

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1386

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1346

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1173

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1083

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1025

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1010

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0956

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0772

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0633

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0629

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0595

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`)