TreeWAS – [K43.0] Ventral hernia with obstruction, without gangrene

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
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.777	0.223	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.667	0.333	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.644	0.356	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.623	0.377	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.618	0.382	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.575	0.424	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.500	0.500	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.483	0.517	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.481	0.519	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.480	0.520	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.461	0.539	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.458	0.542	0.000
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.389	0.611	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.383	0.617	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.380	0.620	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.373	0.627	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.372	0.628	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.348	0.652	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.305	0.695	0.000
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.298	0.702	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.284	0.715	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.271	0.729	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.268	0.732	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.265	0.735	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.245	0.754	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.229	0.770	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.223	0.777	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.218	0.782	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.205	0.795	0.000
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.203	0.797	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.202	0.798	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.179	0.821	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.179	0.821	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.177	0.823	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.168	0.832	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.162	0.838	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.159	0.841	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.155	0.845	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.133	0.867	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.124	0.875	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.123	0.877	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.123	0.877	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.122	0.878	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.110	0.890	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.105	0.895	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.093	0.907	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.090	0.909	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.090	0.909	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.086	0.914	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.084	0.916	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.073	0.927	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.067	0.932	0.001
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.065	0.935	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.060	0.939	0.001
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.050	0.950	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.049	0.951	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.045	0.954	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.044	0.955	0.000
rs188403275 lBF = `0.470526` Chr`18` : `35,015,148`	0.039	0.961	0.000
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.035	0.964	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.034	0.966	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.034	0.966	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.032	0.967	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.026	0.974	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.025	0.975	0.000
rs12968116 lBF = `3.23977` Chr`18` : `55,322,502`	0.000	0.975	0.025
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.022	0.976	0.002
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.022	0.978	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.020	0.979	0.000
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.020	0.980	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.016	0.984	0.000
rs17651157 lBF = `0.0272524` Chr`18` : `34,107,452`	0.000	0.985	0.015
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.015	0.985	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.015	0.985	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.014	0.986	0.000
rs60241046 lBF = `0.389149` Chr`18` : `31,390,868`	0.014	0.986	0.000
rs8083786 lBF = `2.85044` Chr`18` : `12,881,361`	0.013	0.987	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.011	0.988	0.000
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.011	0.989	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.009	0.991	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.009	0.991	0.001
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.007	0.993	0.000
rs1978503 lBF = `0.237987` Chr`18` : `53,664,282`	0.000	0.993	0.007
rs8093502 lBF = `-0.0777335` Chr`18` : `70,285,457`	0.000	0.993	0.007
rs80191532 lBF = `12.2522` Chr`18` : `12,752,868`	0.006	0.994	0.000
rs605920 lBF = `-0.100958` Chr`18` : `62,884,918`	0.000	0.995	0.005
rs1893217 lBF = `16.5233` Chr`18` : `12,809,340`	0.004	0.995	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.004	0.996	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.004	0.996	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.004	0.996	0.000
rs4573996 lBF = `0.0575841` Chr`18` : `76,494,592`	0.000	0.996	0.004
rs2542151 lBF = `13.7217` Chr`18` : `12,779,947`	0.004	0.996	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.003	0.996	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.004	0.996	0.000
rs403814 lBF = `-0.0540524` Chr`18` : `6,282,593`	0.000	0.996	0.004
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.003	0.996	0.000
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.003	0.997	0.000
rs4799964 lBF = `0.704227` Chr`18` : `27,985,479`	0.003	0.997	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.003	0.997	0.000
rs4368253 lBF = `0.4764` Chr`18` : `57,622,287`	0.003	0.997	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.000	0.997	0.003
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.002	0.997	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.002	0.997	0.000
rs7244261 lBF = `-0.0766028` Chr`18` : `66,214,696`	0.000	0.997	0.003
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.997	0.002
rs7237848 lBF = `0.0671287` Chr`18` : `4,773,110`	0.000	0.997	0.003
rs17086172 lBF = `0.0126079` Chr`18` : `70,227,021`	0.002	0.997	0.000
rs17697518 lBF = `0.615094` Chr`18` : `38,765,659`	0.002	0.998	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.002	0.998	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.002	0.998	0.000
rs12607903 lBF = `0.0606153` Chr`18` : `3,817,134`	0.002	0.998	0.000
rs768048 lBF = `0.0126005` Chr`18` : `50,285,398`	0.000	0.998	0.002
rs7234864 lBF = `4.40321` Chr`18` : `57,734,857`	0.002	0.998	0.000
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	0.998	0.002
rs62094879 lBF = `-0.0837516` Chr`18` : `55,496,305`	0.002	0.998	0.000
rs144653651 lBF = `0.0105332` Chr`18` : `12,909,504`	0.002	0.998	0.000
rs7240382 lBF = `-0.0820825` Chr`18` : `74,450,640`	0.002	0.998	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.002	0.998	0.000
rs7240392 lBF = `5.36543` Chr`18` : `43,198,141`	0.002	0.998	0.000
rs36030660 lBF = `5.23833` Chr`18` : `57,735,945`	0.002	0.998	0.000
rs7231996 lBF = `0.139196` Chr`18` : `71,266,519`	0.000	0.998	0.002
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.001	0.998	0.001
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.001	0.998	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.001	0.998	0.000
rs17782904 lBF = `-0.0277588` Chr`18` : `42,313,710`	0.002	0.998	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.001	0.998	0.000
rs72923818 lBF = `-0.00088852` Chr`18` : `46,683,754`	0.000	0.998	0.002
rs12605822 lBF = `-0.0419833` Chr`18` : `9,296,524`	0.000	0.998	0.002
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.001	0.998	0.000
rs7238309 lBF = `0.00002807` Chr`18` : `55,145,692`	0.001	0.998	0.000
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.001	0.999	0.001
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.001	0.999	0.000
rs12957214 lBF = `-0.0563195` Chr`18` : `36,935,540`	0.000	0.999	0.001
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.001	0.999	0.000
rs158856 lBF = `0.816129` Chr`18` : `55,910,523`	0.001	0.999	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.001	0.999	0.000
rs9947954 lBF = `0.0527664` Chr`18` : `46,240,711`	0.001	0.999	0.000
rs12959200 lBF = `0.0912698` Chr`18` : `71,267,054`	0.000	0.999	0.001
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.000	0.999	0.001
rs12458596 lBF = `1.52296` Chr`18` : `53,410,912`	0.000	0.999	0.001
rs6506284 lBF = `0.00043585` Chr`18` : `5,030,023`	0.001	0.999	0.000
rs35352860 lBF = `24.3441` Chr`18` : `46,453,754`	0.001	0.999	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.001	0.999	0.000
rs7244245 lBF = `0.145515` Chr`18` : `8,931,652`	0.001	0.999	0.000
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs28877609 lBF = `0.0005859` Chr`18` : `2,865,505`	0.001	0.999	0.000
rs8098064 lBF = `-0.00017223` Chr`18` : `8,209,269`	0.001	0.999	0.000
rs143037915 lBF = `0.00006957` Chr`18` : `44,973,221`	0.001	0.999	0.000
rs7237422 lBF = `7.61091` Chr`18` : `69,334,652`	0.000	0.999	0.001
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
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
rs141475580 lBF = `0` Chr`18` : `5,936,481`	0.001	0.999	0.001
rs138098194 lBF = `0` Chr`18` : `64,507,408`	0.001	0.999	0.001
rs146111930 lBF = `0` Chr`18` : `25,262,370`	0.001	0.999	0.001
rs116989867 lBF = `0` Chr`18` : `77,172,316`	0.001	0.999	0.001
rs75433892 lBF = `0` Chr`18` : `11,712,922`	0.001	0.999	0.001
rs141318925 lBF = `0` Chr`18` : `6,623,040`	0.001	0.999	0.001
rs148133787 lBF = `0` Chr`18` : `25,227,459`	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
rs9948784 lBF = `0` Chr`18` : `72,897,161`	0.001	0.999	0.001
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.000	0.999	0.001
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
rs1879352 lBF = `-0.0341833` Chr`18` : `2,498,054`	0.001	0.999	0.000
rs7243299 lBF = `-0.00003336` Chr`18` : `7,755,771`	0.001	0.999	0.000
rs8088832 lBF = `-0.031911` Chr`18` : `69,926,757`	0.001	0.999	0.000
rs7237497 lBF = `11.9138` Chr`18` : `12,777,325`	0.000	0.999	0.001
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.000	0.999	0.001
rs9949617 lBF = `-0.0181437` Chr`18` : `20,879,217`	0.000	0.999	0.001
rs8097348 lBF = `-0.0723708` Chr`18` : `1,595,021`	0.001	0.999	0.000
rs2048485 lBF = `58.085` Chr`18` : `42,090,667`	0.001	0.999	0.000
rs1351435 lBF = `0.186306` Chr`18` : `49,404,964`	0.001	0.999	0.000
rs673783 lBF = `-0.006727` Chr`18` : `2,825,418`	0.001	0.999	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.000	0.999	0.001
rs9952991 lBF = `11.7356` Chr`18` : `12,780,464`	0.000	0.999	0.001
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.001	0.999	0.000
rs9635963 lBF = `0.0164355` Chr`18` : `21,749,615`	0.000	0.999	0.001
rs11082098 lBF = `0.00614239` Chr`18` : `36,198,732`	0.000	0.999	0.001
rs16942421 lBF = `0.282577` Chr`18` : `24,156,425`	0.000	0.999	0.001
rs12970291 lBF = `0.0586602` Chr`18` : `73,017,234`	0.001	0.999	0.000
rs2847278 lBF = `11.9236` Chr`18` : `12,778,715`	0.000	0.999	0.001
rs7231412 lBF = `0.776366` Chr`18` : `40,105,657`	0.000	0.999	0.000
rs4800353 lBF = `0.237395` Chr`18` : `19,654,137`	0.001	0.999	0.000
rs7504990 lBF = `0.0630291` Chr`18` : `50,517,776`	0.000	0.999	0.001
rs1517037 lBF = `-0.0381763` Chr`18` : `56,878,274`	0.000	0.999	0.001
rs10469266 lBF = `-0.00354442` Chr`18` : `62,169,092`	0.001	0.999	0.000
rs11082671 lBF = `-0.0457476` Chr`18` : `45,865,597`	0.001	0.999	0.000
rs11874712 lBF = `-0.0915363` Chr`18` : `43,688,576`	0.000	0.999	0.001
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.001	0.999	0.000
rs7243357 lBF = `0.412815` Chr`18` : `56,883,319`	0.000	0.999	0.001
rs28498503 lBF = `-0.058068` Chr`18` : `76,662,955`	0.001	0.999	0.000
rs549476 lBF = `0.386853` Chr`18` : `55,810,733`	0.000	0.999	0.001
rs9636107 lBF = `0.0137675` Chr`18` : `53,200,117`	0.000	0.999	0.001
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.000	0.999	0.000
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rs117535166 lBF = `1.25676` Chr`18` : `68,069,271`	0.000	1.000	0.000
rs16949825 lBF = `0.945855` Chr`18` : `46,227,444`	0.000	1.000	0.000
rs11661646 lBF = `0.617595` Chr`18` : `65,483,812`	0.000	1.000	0.000
rs75687134 lBF = `0.409603` Chr`18` : `65,472,043`	0.000	1.000	0.000
rs11660238 lBF = `0.398846` Chr`18` : `65,470,134`	0.000	1.000	0.000
rs74789784 lBF = `0.397214` Chr`18` : `65,471,518`	0.000	1.000	0.000
rs62091368 lBF = `0.133303` Chr`18` : `514,471`	0.000	1.000	0.000
rs7506045 lBF = `0.0511143` Chr`18` : `11,987,272`	0.000	1.000	0.000
rs11150911 lBF = `0.0317226` Chr`18` : `73,498,528`	0.000	1.000	0.000
rs10460009 lBF = `0.00915213` Chr`18` : `2,948,029`	0.000	1.000	0.000
rs6565887 lBF = `0.00863623` Chr`18` : `74,182,975`	0.000	1.000	0.000
rs9947295 lBF = `0.00305306` Chr`18` : `11,759,432`	0.000	1.000	0.000
rs13381277 lBF = `-0.00572016` Chr`18` : `74,318,610`	0.000	1.000	0.000
rs1261117 lBF = `-0.00693224` Chr`18` : `52,949,657`	0.000	1.000	0.000
rs12457254 lBF = `-0.0200572` Chr`18` : `55,637,712`	0.000	1.000	0.000
rs12955474 lBF = `-0.0227347` Chr`18` : `57,152,038`	0.000	1.000	0.000
rs11081417 lBF = `-0.0246968` Chr`18` : `897,091`	0.000	1.000	0.000
rs9947276 lBF = `-0.0407726` Chr`18` : `72,492,689`	0.000	1.000	0.000
rs8092443 lBF = `-0.0494088` Chr`18` : `68,142,414`	0.000	1.000	0.000
rs11663206 lBF = `-0.05517` Chr`18` : `68,153,620`	0.000	1.000	0.000
rs991014 lBF = `-0.0620715` Chr`18` : `42,439,886`	0.000	1.000	0.000
rs1788776 lBF = `-0.0830695` Chr`18` : `21,244,037`	0.000	1.000	0.000
rs8089364 lBF = `7.59758` Chr`18` : `57,858,829`	0.000	1.000	0.000
rs2345595 lBF = `4.1268` Chr`18` : `1,818,385`	0.000	1.000	0.000
rs10502739 lBF = `0.93719` Chr`18` : `38,220,099`	0.000	1.000	0.000
rs727088 lBF = `0.518781` Chr`18` : `67,530,439`	0.000	1.000	0.000
rs763361 lBF = `0.464979` Chr`18` : `67,531,642`	0.000	1.000	0.000
rs11877878 lBF = `0.22366` Chr`18` : `23,764,235`	0.000	1.000	0.000
rs114535501 lBF = `0.141157` Chr`18` : `65,470,749`	0.000	1.000	0.000
rs12458491 lBF = `0.0419281` Chr`18` : `35,307,820`	0.000	1.000	0.000
rs12961799 lBF = `0.0175059` Chr`18` : `12,904,399`	0.000	1.000	0.000
rs8097810 lBF = `0.0150825` Chr`18` : `23,785,648`	0.000	1.000	0.000
rs4799950 lBF = `-0.00282136` Chr`18` : `35,170,045`	0.000	1.000	0.000
rs3810046 lBF = `-0.021185` Chr`18` : `6,941,662`	0.000	1.000	0.000
rs597503 lBF = `-0.0247466` Chr`18` : `6,939,947`	0.000	1.000	0.000
rs141348977 lBF = `-0.0340627` Chr`18` : `3,107,404`	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
rs62090893 lBF = `-0.0408889` Chr`18` : `73,050,334`	0.000	1.000	0.000
rs7240777 lBF = `-0.0482661` Chr`18` : `71,167,752`	0.000	1.000	0.000
rs518471 lBF = `-0.0529929` Chr`18` : `618,124`	0.000	1.000	0.000
rs11665307 lBF = `-0.0890026` Chr`18` : `69,365,300`	0.000	1.000	0.000
rs11874381 lBF = `-0.109737` Chr`18` : `47,203,408`	0.000	1.000	0.000
rs41452747 lBF = `6.20014` Chr`18` : `52,918,380`	0.000	1.000	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.000	1.000	0.000
rs62095459 lBF = `5.05503` Chr`18` : `44,621,382`	0.000	1.000	0.000
rs8098701 lBF = `1.45811` Chr`18` : `43,551,013`	0.000	1.000	0.000
rs150664883 lBF = `0.43826` Chr`18` : `35,146,206`	0.000	1.000	0.000
rs72963233 lBF = `0.279766` Chr`18` : `31,929,247`	0.000	1.000	0.000
rs7235840 lBF = `0.173722` Chr`18` : `73,725,200`	0.000	1.000	0.000
rs13353224 lBF = `0.113731` Chr`18` : `65,400,425`	0.000	1.000	0.000
rs12960119 lBF = `0.0613299` Chr`18` : `23,614,703`	0.000	1.000	0.000
rs2980976 lBF = `0.0327223` Chr`18` : `60,080,112`	0.000	1.000	0.000
rs8093763 lBF = `0.0196925` Chr`18` : `57,503,378`	0.000	1.000	0.000
rs2217560 lBF = `0.0078309` Chr`18` : `70,150,939`	0.000	1.000	0.000
rs79828856 lBF = `-0.0126522` Chr`18` : `35,036,830`	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
rs264272 lBF = `-0.0335072` Chr`18` : `10,923,808`	0.000	1.000	0.000
rs4890489 lBF = `-0.0603201` Chr`18` : `42,431,244`	0.000	1.000	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	1.000	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.000	1.000	0.000
rs489693 lBF = `3.18069` Chr`18` : `57,882,787`	0.000	1.000	0.000
rs6507939 lBF = `0.224144` Chr`18` : `47,176,261`	0.000	1.000	0.000
rs11874716 lBF = `0.150594` Chr`18` : `52,750,688`	0.000	1.000	0.000
rs4801131 lBF = `0.139039` Chr`18` : `52,752,700`	0.000	1.000	0.000
rs12326088 lBF = `0.118065` Chr`18` : `73,507,569`	0.000	1.000	0.000
rs4891159 lBF = `0.0491863` Chr`18` : `74,101,941`	0.000	1.000	0.000
rs1442089 lBF = `-0.00174034` Chr`18` : `51,107,079`	0.000	1.000	0.000
rs72926932 lBF = `-0.00277141` Chr`18` : `53,050,646`	0.000	1.000	0.000
rs2926621 lBF = `-0.0127574` Chr`18` : `73,620,170`	0.000	1.000	0.000
rs4263037 lBF = `-0.0181179` Chr`18` : `60,016,233`	0.000	1.000	0.000
rs17574271 lBF = `-0.0190117` Chr`18` : `3,970,124`	0.000	1.000	0.000
rs12954803 lBF = `-0.0219224` Chr`18` : `22,136,569`	0.000	1.000	0.000
rs1372474 lBF = `-0.0290872` Chr`18` : `51,116,832`	0.000	1.000	0.000
rs7505290 lBF = `-0.0327581` Chr`18` : `74,183,562`	0.000	1.000	0.000
rs1157477 lBF = `-0.0411558` Chr`18` : `73,850,510`	0.000	1.000	0.000
rs512279 lBF = `-0.0713766` Chr`18` : `58,232,100`	0.000	1.000	0.000
rs2887004 lBF = `-0.0723229` Chr`18` : `69,379,390`	0.000	1.000	0.000
rs11662297 lBF = `-0.109424` Chr`18` : `6,668,050`	0.000	1.000	0.000
rs560248 lBF = `-0.112589` Chr`18` : `58,226,027`	0.000	1.000	0.000
rs613872 lBF = `11.527` Chr`18` : `53,210,302`	0.000	1.000	0.000
rs16953013 lBF = `9.1474` Chr`18` : `48,780,405`	0.000	1.000	0.000
rs1808579 lBF = `0.154254` Chr`18` : `21,104,888`	0.000	1.000	0.000
rs2339345 lBF = `0.105165` Chr`18` : `49,957,255`	0.000	1.000	0.000
rs1013696 lBF = `0.092336` Chr`18` : `31,420,010`	0.000	1.000	0.000
rs7236492 lBF = `0.0825699` Chr`18` : `77,220,616`	0.000	1.000	0.000
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
rs9952641 lBF = `0.0229198` Chr`18` : `318,040`	0.000	1.000	0.000
rs11875185 lBF = `0.0153574` Chr`18` : `55,627,840`	0.000	1.000	0.000
rs12456021 lBF = `0.00182836` Chr`18` : `56,213,390`	0.000	1.000	0.000
rs12959333 lBF = `-0.0134637` Chr`18` : `33,199,916`	0.000	1.000	0.000
rs4574025 lBF = `-0.0168208` Chr`18` : `60,009,814`	0.000	1.000	0.000
rs17088339 lBF = `-0.0172204` Chr`18` : `71,476,133`	0.000	1.000	0.000
rs72934570 lBF = `-0.0440825` Chr`18` : `53,533,189`	0.000	1.000	0.000
rs12967884 lBF = `-0.0569123` Chr`18` : `76,591,635`	0.000	1.000	0.000
rs56728521 lBF = `-0.0617335` Chr`18` : `1,984,421`	0.000	1.000	0.000
rs2243803 lBF = `-0.0734026` Chr`18` : `42,956,672`	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 X0207

log Bayes Factor = 94.6548

contains 2 variants

0.9883

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0835

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9601

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9562

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9490

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.9292

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9094

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9045

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8849

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8834

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8674

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8604

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8556

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8427

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8222

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8056

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.7866

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.7425

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7384

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7340

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7242

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7144

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7131

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6371

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6195

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6146

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5922

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5636

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5635

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5578

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5475

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5339

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5331

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4908

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4730

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4596

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4581

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4324

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4245

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4208

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4115

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3962

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3772

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3577

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3157

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3139

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3119

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3065

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3030

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2966

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2761

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2653

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2605

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2546

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2520

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2481

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2191

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2183

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2153

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2121

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2108

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2041

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1968

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1893

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1714

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1483

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1469

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1444

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1427

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1427

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1391

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1273

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1221

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1150

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1149

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1145

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1065

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0992

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0974

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0865

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0864

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0760

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0746

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0729

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0717

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0704

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0695

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0627

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0601

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0563

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0544

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0539

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0529

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0526

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0521

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0517

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`)