TreeWAS – [N48.2] Other inflammatory disorders of penis

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
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.720	0.280	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.671	0.329	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.554	0.446	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.549	0.451	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.545	0.455	0.000
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.466	0.533	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.454	0.546	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.419	0.580	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.402	0.597	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.371	0.629	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.367	0.633	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.357	0.643	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.343	0.656	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.333	0.667	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.315	0.685	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.010	0.691	0.298
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.299	0.700	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.292	0.708	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.284	0.716	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.281	0.719	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.280	0.720	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.267	0.733	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.264	0.736	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.260	0.740	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.260	0.740	0.000
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.240	0.760	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.234	0.766	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.233	0.767	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.220	0.780	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.216	0.784	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.210	0.790	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.184	0.816	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.183	0.816	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.182	0.818	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.175	0.825	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.168	0.832	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.145	0.855	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.142	0.858	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.133	0.867	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.132	0.868	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.128	0.872	0.000
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.126	0.873	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.125	0.875	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.114	0.886	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.104	0.895	0.000
rs2048485 lBF = `58.085` Chr`18` : `42,090,667`	0.102	0.898	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.095	0.905	0.000
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.090	0.910	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.082	0.917	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.077	0.923	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.047	0.953	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.043	0.956	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.042	0.958	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.039	0.960	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.036	0.963	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.035	0.964	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.033	0.967	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.031	0.969	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.027	0.972	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.027	0.973	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.027	0.973	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.026	0.974	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.024	0.976	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.019	0.981	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.019	0.981	0.000
rs768048 lBF = `0.0126005` Chr`18` : `50,285,398`	0.017	0.982	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.017	0.983	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.017	0.983	0.000
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.016	0.984	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.015	0.984	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.015	0.985	0.000
rs73431975 lBF = `0.0273816` Chr`18` : `42,968,534`	0.015	0.985	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.014	0.986	0.000
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.013	0.986	0.001
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.011	0.988	0.001
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.010	0.990	0.000
rs11152166 lBF = `-0.0482792` Chr`18` : `57,314,807`	0.009	0.991	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.009	0.991	0.000
rs17651157 lBF = `0.0272524` Chr`18` : `34,107,452`	0.009	0.991	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.009	0.991	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.008	0.991	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.008	0.991	0.000
rs7243817 lBF = `0.276956` Chr`18` : `22,132,494`	0.008	0.992	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.008	0.992	0.000
rs4799964 lBF = `0.704227` Chr`18` : `27,985,479`	0.008	0.992	0.000
rs17750321 lBF = `0.00425969` Chr`18` : `35,078,682`	0.007	0.993	0.000
rs62097350 lBF = `-0.0665892` Chr`18` : `13,298,943`	0.007	0.993	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.007	0.993	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.007	0.993	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.006	0.994	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.006	0.994	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.005	0.995	0.000
rs3786431 lBF = `0.862458` Chr`18` : `3,814,148`	0.003	0.996	0.001
rs149615216 lBF = `5.16337` Chr`18` : `47,106,028`	0.004	0.996	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.004	0.996	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.004	0.996	0.000
rs60241046 lBF = `0.389149` Chr`18` : `31,390,868`	0.004	0.996	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.004	0.996	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.003	0.996	0.000
rs3906453 lBF = `-0.0524443` Chr`18` : `51,258,338`	0.003	0.997	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.003	0.997	0.000
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.003	0.997	0.000
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.003	0.997	0.000
rs11081417 lBF = `-0.0246968` Chr`18` : `897,091`	0.000	0.997	0.003
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.001	0.997	0.002
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.003	0.997	0.000
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.003	0.997	0.000
rs7226408 lBF = `-0.0493902` Chr`18` : `34,371,861`	0.003	0.997	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.003	0.997	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.003	0.997	0.000
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.997	0.002
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.002	0.997	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.002	0.997	0.000
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.002	0.997	0.000
rs1662342 lBF = `-0.0862485` Chr`18` : `3,255,301`	0.002	0.998	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.002	0.998	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.002	0.998	0.000
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.002	0.998	0.000
rs8083432 lBF = `0.00600591` Chr`18` : `22,731,360`	0.000	0.998	0.002
rs17798991 lBF = `-0.102522` Chr`18` : `47,121,316`	0.002	0.998	0.000
rs142981069 lBF = `-0.00651573` Chr`18` : `58,826,022`	0.002	0.998	0.000
rs2957128 lBF = `-0.0531889` Chr`18` : `60,060,735`	0.002	0.998	0.000
rs188403275 lBF = `0.470526` Chr`18` : `35,015,148`	0.002	0.998	0.000
rs2660917 lBF = `0.143926` Chr`18` : `68,628,078`	0.002	0.998	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.001	0.998	0.001
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.002	0.998	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.001	0.998	0.000
rs12456874 lBF = `-0.0687189` Chr`18` : `13,366,862`	0.002	0.998	0.000
rs10871777 lBF = `10.7023` Chr`18` : `57,851,763`	0.002	0.998	0.000
rs11152213 lBF = `10.5482` Chr`18` : `57,852,948`	0.002	0.998	0.000
rs6567160 lBF = `10.4157` Chr`18` : `57,829,135`	0.002	0.998	0.000
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.001	0.998	0.001
rs17782313 lBF = `9.47631` Chr`18` : `57,851,097`	0.002	0.998	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.001	0.998	0.000
rs476828 lBF = `10.3029` Chr`18` : `57,852,587`	0.002	0.998	0.000
rs12967135 lBF = `10.2859` Chr`18` : `57,849,023`	0.002	0.998	0.000
rs663129 lBF = `10.1168` Chr`18` : `57,838,401`	0.001	0.998	0.000
rs17700144 lBF = `7.11232` Chr`18` : `57,811,982`	0.001	0.999	0.000
rs7239679 lBF = `-0.0971045` Chr`18` : `10,443,693`	0.001	0.999	0.000
rs538656 lBF = `10.3603` Chr`18` : `57,850,422`	0.001	0.999	0.000
rs732528 lBF = `-0.0426621` Chr`18` : `48,378,234`	0.000	0.999	0.001
rs4797996 lBF = `-0.0742342` Chr`18` : `2,507,425`	0.001	0.999	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.001	0.999	0.000
rs7227892 lBF = `-0.0326973` Chr`18` : `46,336,702`	0.001	0.999	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.001	0.999	0.000
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	0.999	0.001
rs6506284 lBF = `0.00043585` Chr`18` : `5,030,023`	0.001	0.999	0.000
rs9960150 lBF = `1.82464` Chr`18` : `48,008,440`	0.000	0.999	0.001
rs12606068 lBF = `1.37012` Chr`18` : `65,191,491`	0.001	0.999	0.000
rs7240566 lBF = `7.13612` Chr`18` : `57,744,189`	0.001	0.999	0.000
rs12957347 lBF = `6.54836` Chr`18` : `57,751,014`	0.001	0.999	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.001	0.999	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.001	0.999	0.000
rs8091660 lBF = `-0.0605294` Chr`18` : `46,087,936`	0.001	0.999	0.000
rs571312 lBF = `10.5456` Chr`18` : `57,839,769`	0.001	0.999	0.000
rs11082098 lBF = `0.00614239` Chr`18` : `36,198,732`	0.001	0.999	0.000
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs9963862 lBF = `-0.0724579` Chr`18` : `20,587,911`	0.001	0.999	0.000
rs12457254 lBF = `-0.0200572` Chr`18` : `55,637,712`	0.001	0.999	0.000
rs1941342 lBF = `-0.0710315` Chr`18` : `31,595,533`	0.000	0.999	0.001
rs28877609 lBF = `0.0005859` Chr`18` : `2,865,505`	0.001	0.999	0.000
rs7238309 lBF = `0.00002807` Chr`18` : `55,145,692`	0.001	0.999	0.001
rs9952641 lBF = `0.0229198` Chr`18` : `318,040`	0.000	0.999	0.001
rs12970134 lBF = `8.45951` Chr`18` : `57,884,750`	0.001	0.999	0.000
rs10502575 lBF = `0.0134591` Chr`18` : `29,336,591`	0.000	0.999	0.001
rs143037915 lBF = `0.00006957` Chr`18` : `44,973,221`	0.001	0.999	0.000
rs8098064 lBF = `-0.00017223` Chr`18` : `8,209,269`	0.001	0.999	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	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
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
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
rs75518588 lBF = `6.17381` Chr`18` : `46,400,784`	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
rs113740863 lBF = `-0.00459112` Chr`18` : `76,698,027`	0.001	0.999	0.000
rs6508673 lBF = `-0.0234076` Chr`18` : `27,956,443`	0.001	0.999	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.001	0.999	0.000
rs3794924 lBF = `-0.0125339` Chr`18` : `29,041,734`	0.000	0.999	0.001
rs4503880 lBF = `0.0679007` Chr`18` : `56,084,054`	0.001	0.999	0.000
rs17085106 lBF = `0.00071213` Chr`18` : `69,439,073`	0.001	0.999	0.000
rs79828856 lBF = `-0.0126522` Chr`18` : `35,036,830`	0.001	0.999	0.000
rs7226677 lBF = `-0.0311434` Chr`18` : `278,796`	0.000	0.999	0.001
rs12955983 lBF = `7.91277` Chr`18` : `57,872,989`	0.001	0.999	0.000
rs17512836 lBF = `1.35567` Chr`18` : `53,194,961`	0.001	0.999	0.000
rs8092503 lBF = `0.672041` Chr`18` : `52,479,487`	0.000	0.999	0.001
rs9636107 lBF = `0.0137675` Chr`18` : `53,200,117`	0.001	0.999	0.000
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rs9952991 lBF = `11.7356` Chr`18` : `12,780,464`	0.000	1.000	0.000
rs56308049 lBF = `5.33128` Chr`18` : `27,976,836`	0.000	1.000	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.000	1.000	0.000
rs489693 lBF = `3.18069` Chr`18` : `57,882,787`	0.000	1.000	0.000
rs8099121 lBF = `2.09268` Chr`18` : `4,980,408`	0.000	1.000	0.000
rs7230711 lBF = `1.57411` Chr`18` : `48,690,619`	0.000	1.000	0.000
rs9964724 lBF = `0.373572` Chr`18` : `35,159,124`	0.000	1.000	0.000
rs114535501 lBF = `0.141157` Chr`18` : `65,470,749`	0.000	1.000	0.000
rs9958208 lBF = `0.0324831` Chr`18` : `40,591,084`	0.000	1.000	0.000
rs7226835 lBF = `0.0320584` Chr`18` : `37,165,305`	0.000	1.000	0.000
rs1704734 lBF = `0.0103991` Chr`18` : `66,314,072`	0.000	1.000	0.000
rs9947295 lBF = `0.00305306` Chr`18` : `11,759,432`	0.000	1.000	0.000
rs12604324 lBF = `-0.00214165` Chr`18` : `21,744,432`	0.000	1.000	0.000
rs4797559 lBF = `-0.031608` Chr`18` : `11,583,447`	0.000	1.000	0.000
rs2298574 lBF = `-0.0474444` Chr`18` : `25,569,058`	0.000	1.000	0.000
rs3018362 lBF = `-0.0747659` Chr`18` : `60,082,093`	0.000	1.000	0.000
rs9956878 lBF = `-0.115392` Chr`18` : `73,536,711`	0.000	1.000	0.000
rs7237497 lBF = `11.9138` Chr`18` : `12,777,325`	0.000	1.000	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.000	1.000	0.000
rs112049532 lBF = `8.33656` Chr`18` : `11,234,574`	0.000	1.000	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.000	1.000	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.000	1.000	0.000
rs113285159 lBF = `5.01196` Chr`18` : `40,971,984`	0.000	1.000	0.000
rs2345595 lBF = `4.1268` Chr`18` : `1,818,385`	0.000	1.000	0.000
rs8098701 lBF = `1.45811` Chr`18` : `43,551,013`	0.000	1.000	0.000
rs10502739 lBF = `0.93719` Chr`18` : `38,220,099`	0.000	1.000	0.000
rs17088439 lBF = `0.409643` Chr`18` : `71,522,091`	0.000	1.000	0.000
rs8084125 lBF = `0.0983154` Chr`18` : `74,952,758`	0.000	1.000	0.000
rs11664536 lBF = `0.0347783` Chr`18` : `5,578,982`	0.000	1.000	0.000
rs2156552 lBF = `0.0253551` Chr`18` : `47,181,668`	0.000	1.000	0.000
rs4939883 lBF = `0.00113261` Chr`18` : `47,167,214`	0.000	1.000	0.000
rs2639990 lBF = `0.00060051` Chr`18` : `72,915,551`	0.000	1.000	0.000
rs10469266 lBF = `-0.00354442` Chr`18` : `62,169,092`	0.000	1.000	0.000
rs1619249 lBF = `-0.0439138` Chr`18` : `49,190,644`	0.000	1.000	0.000
rs9807334 lBF = `-0.0439374` Chr`18` : `48,524,161`	0.000	1.000	0.000
rs28498503 lBF = `-0.058068` Chr`18` : `76,662,955`	0.000	1.000	0.000
rs2887004 lBF = `-0.0723229` Chr`18` : `69,379,390`	0.000	1.000	0.000
rs11665307 lBF = `-0.0890026` Chr`18` : `69,365,300`	0.000	1.000	0.000
rs41475954 lBF = `1.09592` Chr`18` : `35,085,733`	0.000	1.000	0.000
rs7231412 lBF = `0.776366` Chr`18` : `40,105,657`	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
rs6507939 lBF = `0.224144` Chr`18` : `47,176,261`	0.000	1.000	0.000
rs11877878 lBF = `0.22366` Chr`18` : `23,764,235`	0.000	1.000	0.000
rs66591657 lBF = `0.188644` Chr`18` : `76,415,450`	0.000	1.000	0.000
rs2187375 lBF = `0.0745483` Chr`18` : `47,172,283`	0.000	1.000	0.000
rs10438978 lBF = `0.0708836` Chr`18` : `47,158,186`	0.000	1.000	0.000
rs8099014 lBF = `0.0458431` Chr`18` : `56,109,859`	0.000	1.000	0.000
rs8097810 lBF = `0.0150825` Chr`18` : `23,785,648`	0.000	1.000	0.000
rs10514168 lBF = `0.0067863` Chr`18` : `73,098,949`	0.000	1.000	0.000
rs1941184 lBF = `-0.0248336` Chr`18` : `29,038,123`	0.000	1.000	0.000
rs4800451 lBF = `-0.0407049` Chr`18` : `20,716,805`	0.000	1.000	0.000
rs9953270 lBF = `-0.0523949` Chr`18` : `24,687,371`	0.000	1.000	0.000
rs9961915 lBF = `-0.0540138` Chr`18` : `24,687,324`	0.000	1.000	0.000
rs4553720 lBF = `-0.0567951` Chr`18` : `62,170,726`	0.000	1.000	0.000
rs1943940 lBF = `-0.0576769` Chr`18` : `71,705,192`	0.000	1.000	0.000
rs8089250 lBF = `-0.0638926` Chr`18` : `4,772,807`	0.000	1.000	0.000
rs1942771 lBF = `-0.0671424` Chr`18` : `71,211,745`	0.000	1.000	0.000
rs8094794 lBF = `-0.0790488` Chr`18` : `34,252,749`	0.000	1.000	0.000
rs72943036 lBF = `15.0243` Chr`18` : `60,845,776`	0.000	1.000	0.000
rs1631486 lBF = `4.08365` Chr`18` : `53,026,357`	0.000	1.000	0.000
rs16949825 lBF = `0.945855` Chr`18` : `46,227,444`	0.000	1.000	0.000
rs1346987 lBF = `0.787418` Chr`18` : `40,102,641`	0.000	1.000	0.000
rs8092234 lBF = `0.133484` Chr`18` : `9,371,333`	0.000	1.000	0.000
rs7241918 lBF = `0.132748` Chr`18` : `47,160,953`	0.000	1.000	0.000
rs1618992 lBF = `0.12992` Chr`18` : `26,246,051`	0.000	1.000	0.000
rs4130047 lBF = `0.12744` Chr`18` : `40,678,235`	0.000	1.000	0.000
rs12455557 lBF = `0.122909` Chr`18` : `46,317,088`	0.000	1.000	0.000
rs206626 lBF = `0.0301974` Chr`18` : `10,321,347`	0.000	1.000	0.000
rs17077540 lBF = `0.0137266` Chr`18` : `65,285,279`	0.000	1.000	0.000
rs145583025 lBF = `0.00517223` Chr`18` : `14,443,241`	0.000	1.000	0.000
rs12456021 lBF = `0.00182836` Chr`18` : `56,213,390`	0.000	1.000	0.000
rs2635047 lBF = `-0.00077824` Chr`18` : `44,736,336`	0.000	1.000	0.000
rs17574271 lBF = `-0.0190117` Chr`18` : `3,970,124`	0.000	1.000	0.000
rs12185468 lBF = `-0.0310759` Chr`18` : `8,479,685`	0.000	1.000	0.000
rs1517037 lBF = `-0.0381763` Chr`18` : `56,878,274`	0.000	1.000	0.000
rs11662763 lBF = `-0.0442442` Chr`18` : `5,857,091`	0.000	1.000	0.000
rs10853575 lBF = `-0.0455302` Chr`18` : `46,559,719`	0.000	1.000	0.000
rs11080466 lBF = `-0.0642206` Chr`18` : `10,899,028`	0.000	1.000	0.000
rs4145170 lBF = `-0.0718125` Chr`18` : `26,676,672`	0.000	1.000	0.000
rs2243803 lBF = `-0.0734026` Chr`18` : `42,956,672`	0.000	1.000	0.000
rs17440727 lBF = `-0.0826275` Chr`18` : `6,990,995`	0.000	1.000	0.000
rs11874712 lBF = `-0.0915363` Chr`18` : `43,688,576`	0.000	1.000	0.000
rs613872 lBF = `11.527` Chr`18` : `53,210,302`	0.000	1.000	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.000	1.000	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	1.000	0.000
rs62095459 lBF = `5.05503` Chr`18` : `44,621,382`	0.000	1.000	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.000	1.000	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.000	1.000	0.000
rs7243357 lBF = `0.412815` Chr`18` : `56,883,319`	0.000	1.000	0.000
rs12456492 lBF = `0.0943272` Chr`18` : `40,673,380`	0.000	1.000	0.000
rs73439953 lBF = `0.0860121` Chr`18` : `56,602,702`	0.000	1.000	0.000
rs12458491 lBF = `0.0419281` Chr`18` : `35,307,820`	0.000	1.000	0.000
rs10502431 lBF = `0.0171681` Chr`18` : `20,015,975`	0.000	1.000	0.000
rs11875185 lBF = `0.0153574` Chr`18` : `55,627,840`	0.000	1.000	0.000
rs1442089 lBF = `-0.00174034` Chr`18` : `51,107,079`	0.000	1.000	0.000
rs58263042 lBF = `-0.00749228` Chr`18` : `29,979,575`	0.000	1.000	0.000
rs4528660 lBF = `-0.0144934` Chr`18` : `3,043,516`	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 X0300

log Bayes Factor = 109.684

contains 3 variants

0.2193

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.1191

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.0651

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0526

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9865

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9824

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9248

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8990

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8947

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8776

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8437

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8041

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7956

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7802

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7773

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7751

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7407

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7284

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7241

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7219

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7158

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7076

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7050

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6899

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6794

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6720

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6659

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6621

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6284

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6177

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5952

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5935

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5928

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5916

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5655

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5582

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5567

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5464

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5430

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5419

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5240

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5185

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5062

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4549

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4432

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4050

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3956

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3916

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3878

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3512

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3107

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2911

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2888

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2860

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2744

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2672

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2645

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2598

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2561

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2497

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2486

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2459

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2372

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2161

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2118

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1908

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1840

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1535

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1344

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1221

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1220

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1155

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1134

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0962

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0942

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0885

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0872

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0732

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0707

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0684

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0680

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0673

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0665

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0545

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0534

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0506

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`)