TreeWAS – [J30] Vasomotor and allergic rhinitis

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

J30

Vasomotor and allergic rhinitis

Parent term	J30-J39 Other diseases of upper respiratory tract
Nested terms	J30.0 Vasomotor rhinitis J30.1 Allergic rhinitis due to pollen J30.2 Other seasonal allergic rhinitis J30.3 Other allergic rhinitis J30.4 Allergic rhinitis, unspecified

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Variant effects

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.905	0.095	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.850	0.150	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.825	0.175	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.810	0.189	0.000
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.784	0.216	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.701	0.299	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.699	0.301	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.676	0.324	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.655	0.345	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.617	0.383	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.615	0.384	0.000
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.606	0.394	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.591	0.409	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.585	0.415	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.571	0.429	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.559	0.440	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.555	0.445	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.550	0.450	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.542	0.458	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.532	0.468	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.506	0.494	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.490	0.509	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.489	0.511	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.483	0.517	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.480	0.520	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.457	0.543	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.447	0.553	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.442	0.558	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.441	0.559	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.430	0.570	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.412	0.588	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.408	0.592	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.397	0.603	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.395	0.605	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.392	0.608	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.384	0.616	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.383	0.617	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.381	0.619	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.372	0.628	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.371	0.629	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.329	0.671	0.000
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.319	0.681	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.316	0.684	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.291	0.709	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.269	0.731	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.265	0.735	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.260	0.739	0.001
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.254	0.746	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.252	0.748	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.223	0.768	0.009
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.224	0.775	0.000
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.222	0.777	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.221	0.779	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.212	0.788	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.206	0.794	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.205	0.795	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.204	0.796	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.201	0.799	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.199	0.801	0.000
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.173	0.826	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.167	0.833	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.165	0.834	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.163	0.837	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.156	0.844	0.000
rs884205 lBF = `0.32864` Chr`18` : `60,054,857`	0.154	0.846	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.148	0.847	0.005
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.151	0.849	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.148	0.852	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.145	0.855	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.145	0.855	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.144	0.855	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.136	0.864	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.134	0.865	0.001
rs11877878 lBF = `0.22366` Chr`18` : `23,764,235`	0.135	0.865	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.132	0.868	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.117	0.883	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.116	0.884	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.085	0.914	0.001
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.081	0.919	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.079	0.921	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.078	0.922	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.077	0.923	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.073	0.927	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.073	0.927	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.071	0.928	0.001
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.072	0.928	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.072	0.928	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.070	0.930	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.068	0.932	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.065	0.935	0.000
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.062	0.938	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.052	0.947	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.052	0.948	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.044	0.956	0.000
rs60241046 lBF = `0.389149` Chr`18` : `31,390,868`	0.042	0.958	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.042	0.958	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.041	0.959	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.041	0.959	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.040	0.960	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.040	0.960	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.038	0.961	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.035	0.965	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.022	0.968	0.010
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.030	0.970	0.000
rs72943036 lBF = `15.0243` Chr`18` : `60,845,776`	0.026	0.974	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.024	0.976	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.024	0.976	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.023	0.976	0.001
rs2137289 lBF = `-0.0534433` Chr`18` : `44,752,125`	0.024	0.976	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.024	0.976	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.022	0.978	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.016	0.983	0.000
rs4890568 lBF = `1.51705` Chr`18` : `43,231,622`	0.015	0.985	0.000
rs1398217 lBF = `-0.0536648` Chr`18` : `44,752,238`	0.014	0.986	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.014	0.986	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.013	0.987	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.013	0.987	0.000
rs1261117 lBF = `-0.00693224` Chr`18` : `52,949,657`	0.000	0.987	0.013
rs8097810 lBF = `0.0150825` Chr`18` : `23,785,648`	0.013	0.987	0.000
rs62095459 lBF = `5.05503` Chr`18` : `44,621,382`	0.012	0.988	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.011	0.989	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.010	0.990	0.000
rs188403275 lBF = `0.470526` Chr`18` : `35,015,148`	0.008	0.992	0.000
rs4534959 lBF = `-0.0114045` Chr`18` : `61,877,156`	0.008	0.992	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.007	0.993	0.000
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.006	0.994	0.000
rs149615216 lBF = `5.16337` Chr`18` : `47,106,028`	0.004	0.995	0.000
rs4799964 lBF = `0.704227` Chr`18` : `27,985,479`	0.004	0.996	0.000
rs8083786 lBF = `2.85044` Chr`18` : `12,881,361`	0.003	0.996	0.001
rs1351435 lBF = `0.186306` Chr`18` : `49,404,964`	0.003	0.996	0.001
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.003	0.996	0.000
rs73431975 lBF = `0.0273816` Chr`18` : `42,968,534`	0.003	0.997	0.000
rs643507 lBF = `0.0153565` Chr`18` : `2,946,291`	0.000	0.997	0.003
rs489693 lBF = `3.18069` Chr`18` : `57,882,787`	0.000	0.997	0.003
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.997	0.003
rs7244261 lBF = `-0.0766028` Chr`18` : `66,214,696`	0.003	0.997	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.003	0.997	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.003	0.997	0.000
rs1808579 lBF = `0.154254` Chr`18` : `21,104,888`	0.000	0.997	0.003
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.002	0.997	0.000
rs8089364 lBF = `7.59758` Chr`18` : `57,858,829`	0.000	0.997	0.003
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.003	0.997	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.003	0.997	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.002	0.997	0.000
rs10853531 lBF = `-0.0699888` Chr`18` : `42,824,449`	0.000	0.998	0.002
rs10503019 lBF = `0.0660409` Chr`18` : `55,454,377`	0.000	0.998	0.002
rs3730682 lBF = `-0.0477413` Chr`18` : `51,797,332`	0.000	0.998	0.002
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.002	0.998	0.000
rs12970134 lBF = `8.45951` Chr`18` : `57,884,750`	0.000	0.998	0.002
rs7239865 lBF = `-0.0803411` Chr`18` : `1,971,193`	0.000	0.998	0.002
rs12955983 lBF = `7.91277` Chr`18` : `57,872,989`	0.000	0.998	0.002
rs7240566 lBF = `7.13612` Chr`18` : `57,744,189`	0.000	0.998	0.002
rs7234864 lBF = `4.40321` Chr`18` : `57,734,857`	0.000	0.998	0.002
rs12185468 lBF = `-0.0310759` Chr`18` : `8,479,685`	0.002	0.998	0.000
rs7244245 lBF = `0.145515` Chr`18` : `8,931,652`	0.000	0.998	0.002
rs36030660 lBF = `5.23833` Chr`18` : `57,735,945`	0.000	0.998	0.002
rs17700144 lBF = `7.11232` Chr`18` : `57,811,982`	0.000	0.998	0.002
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.001	0.998	0.001
rs6567160 lBF = `10.4157` Chr`18` : `57,829,135`	0.000	0.998	0.002
rs12957347 lBF = `6.54836` Chr`18` : `57,751,014`	0.000	0.998	0.002
rs11082438 lBF = `0.212302` Chr`18` : `42,865,210`	0.000	0.998	0.002
rs663129 lBF = `10.1168` Chr`18` : `57,838,401`	0.000	0.998	0.002
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.002	0.998	0.000
rs9635963 lBF = `0.0164355` Chr`18` : `21,749,615`	0.000	0.998	0.002
rs17750321 lBF = `0.00425969` Chr`18` : `35,078,682`	0.002	0.998	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.001	0.998	0.000
rs571312 lBF = `10.5456` Chr`18` : `57,839,769`	0.000	0.998	0.001
rs7234531 lBF = `-0.00917178` Chr`18` : `64,570,385`	0.000	0.999	0.001
rs1944582 lBF = `-0.0780228` Chr`18` : `45,815,417`	0.001	0.999	0.000
rs6506284 lBF = `0.00043585` Chr`18` : `5,030,023`	0.001	0.999	0.000
rs139095266 lBF = `0.0102423` Chr`18` : `66,379,738`	0.001	0.999	0.000
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	0.999	0.001
rs73963343 lBF = `-0.011417` Chr`18` : `64,699,974`	0.000	0.999	0.001
rs17750015 lBF = `-0.0913326` Chr`18` : `54,397,622`	0.000	0.999	0.001
rs2920001 lBF = `-0.0767493` Chr`18` : `28,789,725`	0.000	0.999	0.001
rs538656 lBF = `10.3603` Chr`18` : `57,850,422`	0.000	0.999	0.001
rs12967135 lBF = `10.2859` Chr`18` : `57,849,023`	0.000	0.999	0.001
rs11083271 lBF = `-0.0336809` Chr`18` : `25,926,059`	0.001	0.999	0.000
rs7233060 lBF = `0.033984` Chr`18` : `77,392,379`	0.001	0.999	0.000
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs17782313 lBF = `9.47631` Chr`18` : `57,851,097`	0.000	0.999	0.001
rs17744182 lBF = `-0.0048654` Chr`18` : `30,032,525`	0.000	0.999	0.001
rs476828 lBF = `10.3029` Chr`18` : `57,852,587`	0.000	0.999	0.001
rs11152213 lBF = `10.5482` Chr`18` : `57,852,948`	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	0.000
rs10871777 lBF = `10.7023` Chr`18` : `57,851,763`	0.000	0.999	0.001
rs113568918 lBF = `0.457294` Chr`18` : `67,546,690`	0.001	0.999	0.000
rs2717128 lBF = `-0.071274` Chr`18` : `74,987,632`	0.000	0.999	0.001
rs143037915 lBF = `0.00006957` Chr`18` : `44,973,221`	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
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rs2406342 lBF = `0.0291026` Chr`18` : `74,488,280`	0.000	1.000	0.000
rs17651157 lBF = `0.0272524` Chr`18` : `34,107,452`	0.000	1.000	0.000
rs4327120 lBF = `-0.0185945` Chr`18` : `36,532,976`	0.000	1.000	0.000
rs1187220 lBF = `-0.0354844` Chr`18` : `35,351,726`	0.000	1.000	0.000
rs8092443 lBF = `-0.0494088` Chr`18` : `68,142,414`	0.000	1.000	0.000
rs11080466 lBF = `-0.0642206` Chr`18` : `10,899,028`	0.000	1.000	0.000
rs7227483 lBF = `-0.0802931` Chr`18` : `43,187,130`	0.000	1.000	0.000
rs560248 lBF = `-0.112589` Chr`18` : `58,226,027`	0.000	1.000	0.000
rs591166 lBF = `2.16446` Chr`18` : `57,841,589`	0.000	1.000	0.000
rs55916387 lBF = `1.32445` Chr`18` : `31,246,244`	0.000	1.000	0.000
rs11661646 lBF = `0.617595` Chr`18` : `65,483,812`	0.000	1.000	0.000
rs7240405 lBF = `0.0955091` Chr`18` : `47,159,090`	0.000	1.000	0.000
rs9960767 lBF = `0.0851226` Chr`18` : `53,155,002`	0.000	1.000	0.000
rs10438978 lBF = `0.0708836` Chr`18` : `47,158,186`	0.000	1.000	0.000
rs11661856 lBF = `0.0453669` Chr`18` : `75,653,523`	0.000	1.000	0.000
rs4939883 lBF = `0.00113261` Chr`18` : `47,167,214`	0.000	1.000	0.000
rs16950303 lBF = `-0.00279929` Chr`18` : `46,582,359`	0.000	1.000	0.000
rs7505290 lBF = `-0.0327581` Chr`18` : `74,183,562`	0.000	1.000	0.000
rs11662586 lBF = `-0.0347607` Chr`18` : `77,716,171`	0.000	1.000	0.000
rs11663206 lBF = `-0.05517` Chr`18` : `68,153,620`	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
rs17440727 lBF = `-0.0826275` Chr`18` : `6,990,995`	0.000	1.000	0.000
rs1557305 lBF = `-0.107878` Chr`18` : `4,721,359`	0.000	1.000	0.000
rs11659841 lBF = `0.780136` Chr`18` : `25,786,880`	0.000	1.000	0.000
rs8099014 lBF = `0.0458431` Chr`18` : `56,109,859`	0.000	1.000	0.000
rs6506569 lBF = `0.00824465` Chr`18` : `8,275,857`	0.000	1.000	0.000
rs11082098 lBF = `0.00614239` Chr`18` : `36,198,732`	0.000	1.000	0.000
rs12456021 lBF = `0.00182836` Chr`18` : `56,213,390`	0.000	1.000	0.000
rs3794924 lBF = `-0.0125339` Chr`18` : `29,041,734`	0.000	1.000	0.000
rs275856 lBF = `-0.0230627` Chr`18` : `21,839,152`	0.000	1.000	0.000
rs4398173 lBF = `-0.0388361` Chr`18` : `6,941,108`	0.000	1.000	0.000
rs35352860 lBF = `24.3441` Chr`18` : `46,453,754`	0.000	1.000	0.000
rs112049532 lBF = `8.33656` Chr`18` : `11,234,574`	0.000	1.000	0.000
rs2847297 lBF = `3.35859` Chr`18` : `12,797,694`	0.000	1.000	0.000
rs9951150 lBF = `1.81007` Chr`18` : `52,821,124`	0.000	1.000	0.000
rs17088439 lBF = `0.409643` Chr`18` : `71,522,091`	0.000	1.000	0.000
rs1978503 lBF = `0.237987` Chr`18` : `53,664,282`	0.000	1.000	0.000
rs114535501 lBF = `0.141157` Chr`18` : `65,470,749`	0.000	1.000	0.000
rs7241918 lBF = `0.132748` Chr`18` : `47,160,953`	0.000	1.000	0.000
rs7226371 lBF = `0.0494513` Chr`18` : `1,850,771`	0.000	1.000	0.000
rs1460196 lBF = `0.044136` Chr`18` : `50,215,412`	0.000	1.000	0.000
rs2156552 lBF = `0.0253551` Chr`18` : `47,181,668`	0.000	1.000	0.000
rs10503015 lBF = `0.00963828` Chr`18` : `55,175,143`	0.000	1.000	0.000
rs72923818 lBF = `-0.00088852` Chr`18` : `46,683,754`	0.000	1.000	0.000
rs2864527 lBF = `-0.00619084` Chr`18` : `9,288,456`	0.000	1.000	0.000
rs12959333 lBF = `-0.0134637` Chr`18` : `33,199,916`	0.000	1.000	0.000
rs1995138 lBF = `-0.0203531` Chr`18` : `51,526,568`	0.000	1.000	0.000
rs3810046 lBF = `-0.021185` Chr`18` : `6,941,662`	0.000	1.000	0.000
rs1372474 lBF = `-0.0290872` Chr`18` : `51,116,832`	0.000	1.000	0.000
rs9949121 lBF = `-0.0377958` Chr`18` : `42,306,884`	0.000	1.000	0.000
rs12957214 lBF = `-0.0563195` Chr`18` : `36,935,540`	0.000	1.000	0.000
rs4553720 lBF = `-0.0567951` Chr`18` : `62,170,726`	0.000	1.000	0.000
rs17724172 lBF = `-0.0820995` Chr`18` : `3,512,216`	0.000	1.000	0.000
rs62094879 lBF = `-0.0837516` Chr`18` : `55,496,305`	0.000	1.000	0.000
rs2048485 lBF = `58.085` Chr`18` : `42,090,667`	0.000	1.000	0.000
rs41475954 lBF = `1.09592` Chr`18` : `35,085,733`	0.000	1.000	0.000
rs16949825 lBF = `0.945855` Chr`18` : `46,227,444`	0.000	1.000	0.000
rs10502739 lBF = `0.93719` Chr`18` : `38,220,099`	0.000	1.000	0.000
rs150664883 lBF = `0.43826` Chr`18` : `35,146,206`	0.000	1.000	0.000
rs7231996 lBF = `0.139196` Chr`18` : `71,266,519`	0.000	1.000	0.000
rs12455557 lBF = `0.122909` Chr`18` : `46,317,088`	0.000	1.000	0.000
rs8085804 lBF = `0.0949757` Chr`18` : `40,288,293`	0.000	1.000	0.000
rs357894 lBF = `0.0370841` Chr`18` : `46,579,970`	0.000	1.000	0.000
rs11664536 lBF = `0.0347783` Chr`18` : `5,578,982`	0.000	1.000	0.000
rs9958208 lBF = `0.0324831` Chr`18` : `40,591,084`	0.000	1.000	0.000
rs9953769 lBF = `0.0267593` Chr`18` : `71,021,568`	0.000	1.000	0.000
rs1970671 lBF = `0.025975` Chr`18` : `52,863,108`	0.000	1.000	0.000
rs1442089 lBF = `-0.00174034` Chr`18` : `51,107,079`	0.000	1.000	0.000
rs79828856 lBF = `-0.0126522` Chr`18` : `35,036,830`	0.000	1.000	0.000
rs62096106 lBF = `-0.0161061` Chr`18` : `59,838,919`	0.000	1.000	0.000
rs9949617 lBF = `-0.0181437` Chr`18` : `20,879,217`	0.000	1.000	0.000
rs6508673 lBF = `-0.0234076` Chr`18` : `27,956,443`	0.000	1.000	0.000
rs16951095 lBF = `-0.0255469` Chr`18` : `7,042,911`	0.000	1.000	0.000
rs8088832 lBF = `-0.031911` Chr`18` : `69,926,757`	0.000	1.000	0.000
rs473976 lBF = `-0.0567698` Chr`18` : `40,418,431`	0.000	1.000	0.000
rs28498503 lBF = `-0.058068` Chr`18` : `76,662,955`	0.000	1.000	0.000
rs9951925 lBF = `-0.0747286` Chr`18` : `71,878,517`	0.000	1.000	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	1.000	0.000
rs1187256 lBF = `1.91798` Chr`18` : `35,295,330`	0.000	1.000	0.000
rs7230711 lBF = `1.57411` Chr`18` : `48,690,619`	0.000	1.000	0.000
rs62103177 lBF = `1.05415` Chr`18` : `77,624,479`	0.000	1.000	0.000
rs8092234 lBF = `0.133484` Chr`18` : `9,371,333`	0.000	1.000	0.000
rs12959200 lBF = `0.0912698` Chr`18` : `71,267,054`	0.000	1.000	0.000
rs2187375 lBF = `0.0745483` Chr`18` : `47,172,283`	0.000	1.000	0.000
rs1805081 lBF = `0.0703408` Chr`18` : `21,140,432`	0.000	1.000	0.000
rs4503880 lBF = `0.0679007` Chr`18` : `56,084,054`	0.000	1.000	0.000
rs7506045 lBF = `0.0511143` Chr`18` : `11,987,272`	0.000	1.000	0.000
rs9952641 lBF = `0.0229198` Chr`18` : `318,040`	0.000	1.000	0.000
rs9945268 lBF = `0.0105942` Chr`18` : `59,340,526`	0.000	1.000	0.000
rs1704734 lBF = `0.0103991` Chr`18` : `66,314,072`	0.000	1.000	0.000
rs4528660 lBF = `-0.0144934` Chr`18` : `3,043,516`	0.000	1.000	0.000
rs7240206 lBF = `-0.0215768` Chr`18` : `74,435,154`	0.000	1.000	0.000
rs11662763 lBF = `-0.0442442` Chr`18` : `5,857,091`	0.000	1.000	0.000
rs7236632 lBF = `-0.0485542` Chr`18` : `55,434,202`	0.000	1.000	0.000
rs518471 lBF = `-0.0529929` Chr`18` : `618,124`	0.000	1.000	0.000
rs10438933 lBF = `-0.0554992` Chr`18` : `29,273,129`	0.000	1.000	0.000
rs4145170 lBF = `-0.0718125` Chr`18` : `26,676,672`	0.000	1.000	0.000
rs2187324 lBF = `-0.0884729` Chr`18` : `55,491,965`	0.000	1.000	0.000
rs16953013 lBF = `9.1474` Chr`18` : `48,780,405`	0.000	1.000	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.000	1.000	0.000
rs1631486 lBF = `4.08365` Chr`18` : `53,026,357`	0.000	1.000	0.000
rs6507939 lBF = `0.224144` Chr`18` : `47,176,261`	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 X0216

log Bayes Factor = 162.135

contains 6 variants

0.3481

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2736

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9995

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9990

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9949

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9936

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9914

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9913

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9911

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9840

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9831

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9811

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9802

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9762

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9761

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9759

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9722

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9681

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9630

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9617

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9568

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9495

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9483

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9476

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9359

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9155

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9107

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9020

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8967

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8891

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.8851

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8792

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8784

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8744

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8720

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8672

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8637

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8635

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8588

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8573

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8510

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.8505

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8420

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8323

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8262

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8192

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8157

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8134

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.8052

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8038

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7916

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7871

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7676

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7589

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7579

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7544

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7515

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7468

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7435

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7412

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7323

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7322

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7316

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7251

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7239

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7229

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7223

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7189

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7104

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6918

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6804

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6695

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6609

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6532

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6471

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6390

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6381

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6343

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6293

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6279

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6235

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6187

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6167

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5953

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5952

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5859

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5797

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5604

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5430

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5332

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5243

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5156

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5154

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4847

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4831

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4688

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4610

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4567

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4303

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3983

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3829

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3487

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3358

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3344

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3190

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2961

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2938

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2819

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2785

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2544

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2517

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2257

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2206

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2181

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2120

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2077

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2052

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1993

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1751

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1749

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.1454

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1403

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1166

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1128

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1101

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0906

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0888

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0715

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0712

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0625

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0574

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)