TreeWAS – [O47.9] False labour, unspecified

Variant effects

Click on a variant to see its association results.

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

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.836	0.164	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.753	0.247	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.722	0.278	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.705	0.295	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.679	0.321	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.664	0.336	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.608	0.392	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.559	0.441	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.545	0.455	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.536	0.464	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.526	0.474	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.523	0.477	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.498	0.502	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.486	0.514	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.483	0.517	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.469	0.530	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.469	0.531	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.466	0.534	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.455	0.545	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.453	0.547	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.449	0.551	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.445	0.555	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.429	0.571	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.419	0.581	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.403	0.597	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.403	0.597	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.394	0.606	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.392	0.608	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.386	0.614	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.384	0.615	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.374	0.626	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.363	0.637	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.356	0.644	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.355	0.645	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.354	0.646	0.000
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.353	0.647	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.345	0.655	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.342	0.658	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.341	0.659	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.340	0.660	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.330	0.669	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.328	0.671	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.324	0.676	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.314	0.685	0.000
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.314	0.685	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.313	0.686	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.305	0.694	0.000
rs113285159 lBF = `5.01196` Chr`18` : `40,971,984`	0.302	0.697	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.301	0.699	0.000
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.290	0.709	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.290	0.709	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.288	0.712	0.000
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.283	0.716	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.281	0.719	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.268	0.732	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.262	0.738	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.261	0.739	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.260	0.740	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.246	0.754	0.000
rs9947954 lBF = `0.0527664` Chr`18` : `46,240,711`	0.242	0.758	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.230	0.769	0.001
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.229	0.771	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.225	0.775	0.001
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.221	0.778	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.217	0.783	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.199	0.800	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.198	0.802	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.197	0.803	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.194	0.806	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.193	0.806	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.181	0.818	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.174	0.826	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.147	0.853	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.144	0.855	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.141	0.858	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.136	0.864	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.124	0.875	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.119	0.881	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.119	0.881	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.114	0.886	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.104	0.896	0.000
rs11564386 lBF = `0.195996` Chr`18` : `25,700,791`	0.098	0.901	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.090	0.910	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.087	0.913	0.000
rs4799964 lBF = `0.704227` Chr`18` : `27,985,479`	0.086	0.913	0.000
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.083	0.917	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.079	0.921	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.077	0.923	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.075	0.924	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.071	0.928	0.001
rs16949825 lBF = `0.945855` Chr`18` : `46,227,444`	0.071	0.929	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.070	0.930	0.000
rs73439953 lBF = `0.0860121` Chr`18` : `56,602,702`	0.064	0.936	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.062	0.937	0.000
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.062	0.938	0.000
rs11875185 lBF = `0.0153574` Chr`18` : `55,627,840`	0.060	0.940	0.000
rs113568918 lBF = `0.457294` Chr`18` : `67,546,690`	0.055	0.944	0.001
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.054	0.946	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.052	0.948	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.051	0.949	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.048	0.952	0.001
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.044	0.955	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.043	0.957	0.001
rs12960119 lBF = `0.0613299` Chr`18` : `23,614,703`	0.043	0.957	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.039	0.961	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.038	0.962	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.037	0.963	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.034	0.966	0.000
rs1631486 lBF = `4.08365` Chr`18` : `53,026,357`	0.000	0.969	0.031
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.030	0.969	0.001
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.026	0.973	0.000
rs11661856 lBF = `0.0453669` Chr`18` : `75,653,523`	0.026	0.974	0.000
rs11663697 lBF = `0.128277` Chr`18` : `74,735,135`	0.026	0.974	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.024	0.975	0.001
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.025	0.975	0.000
rs11082098 lBF = `0.00614239` Chr`18` : `36,198,732`	0.025	0.975	0.000
rs589398 lBF = `0.0353588` Chr`18` : `5,311,892`	0.022	0.978	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.021	0.979	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.020	0.979	0.001
rs78192384 lBF = `-0.0025316` Chr`18` : `3,041,397`	0.020	0.980	0.000
rs17512836 lBF = `1.35567` Chr`18` : `53,194,961`	0.018	0.982	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.018	0.982	0.000
rs10502575 lBF = `0.0134591` Chr`18` : `29,336,591`	0.017	0.983	0.000
rs60241046 lBF = `0.389149` Chr`18` : `31,390,868`	0.016	0.984	0.000
rs7233060 lBF = `0.033984` Chr`18` : `77,392,379`	0.014	0.986	0.000
rs11082762 lBF = `0.00833848` Chr`18` : `21,365,853`	0.013	0.987	0.000
rs7240392 lBF = `5.36543` Chr`18` : `43,198,141`	0.011	0.989	0.000
rs150664883 lBF = `0.43826` Chr`18` : `35,146,206`	0.011	0.989	0.000
rs7240777 lBF = `-0.0482661` Chr`18` : `71,167,752`	0.010	0.990	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.010	0.990	0.000
rs4800843 lBF = `0.665939` Chr`18` : `25,773,016`	0.010	0.990	0.000
rs149615216 lBF = `5.16337` Chr`18` : `47,106,028`	0.008	0.992	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.007	0.993	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.005	0.993	0.002
rs17750321 lBF = `0.00425969` Chr`18` : `35,078,682`	0.006	0.994	0.001
rs188403275 lBF = `0.470526` Chr`18` : `35,015,148`	0.006	0.994	0.001
rs605920 lBF = `-0.100958` Chr`18` : `62,884,918`	0.000	0.995	0.005
rs17232800 lBF = `0.0431282` Chr`18` : `66,292,259`	0.000	0.995	0.004
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.001	0.996	0.003
rs1995138 lBF = `-0.0203531` Chr`18` : `51,526,568`	0.000	0.996	0.004
rs8098701 lBF = `1.45811` Chr`18` : `43,551,013`	0.004	0.996	0.000
rs62096106 lBF = `-0.0161061` Chr`18` : `59,838,919`	0.004	0.996	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.003	0.997	0.000
rs1351435 lBF = `0.186306` Chr`18` : `49,404,964`	0.003	0.997	0.000
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.003	0.997	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.003	0.997	0.000
rs4145170 lBF = `-0.0718125` Chr`18` : `26,676,672`	0.003	0.997	0.000
rs7231041 lBF = `-0.103691` Chr`18` : `23,393,104`	0.003	0.997	0.000
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.997	0.003
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.003	0.997	0.000
rs141348977 lBF = `-0.0340627` Chr`18` : `3,107,404`	0.003	0.997	0.000
rs9966832 lBF = `0.0219014` Chr`18` : `23,405,188`	0.003	0.997	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.002	0.997	0.001
rs17083844 lBF = `-0.0283239` Chr`18` : `68,842,243`	0.003	0.997	0.000
rs1372474 lBF = `-0.0290872` Chr`18` : `51,116,832`	0.002	0.997	0.000
rs1442089 lBF = `-0.00174034` Chr`18` : `51,107,079`	0.000	0.998	0.002
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.002	0.998	0.000
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.002	0.998	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.002	0.998	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.002	0.998	0.000
rs7243817 lBF = `0.276956` Chr`18` : `22,132,494`	0.002	0.998	0.000
rs2864527 lBF = `-0.00619084` Chr`18` : `9,288,456`	0.002	0.998	0.000
rs1942771 lBF = `-0.0671424` Chr`18` : `71,211,745`	0.000	0.998	0.002
rs7244245 lBF = `0.145515` Chr`18` : `8,931,652`	0.002	0.998	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.001	0.998	0.001
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.002	0.998	0.000
rs12454023 lBF = `-0.0648155` Chr`18` : `56,009,604`	0.000	0.998	0.002
rs613872 lBF = `11.527` Chr`18` : `53,210,302`	0.002	0.998	0.000
rs2586731 lBF = `0.0217857` Chr`18` : `48,317,159`	0.000	0.998	0.002
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.002	0.998	0.000
rs7234531 lBF = `-0.00917178` Chr`18` : `64,570,385`	0.002	0.998	0.000
rs7231996 lBF = `0.139196` Chr`18` : `71,266,519`	0.000	0.998	0.002
rs2298574 lBF = `-0.0474444` Chr`18` : `25,569,058`	0.000	0.998	0.002
rs9675861 lBF = `-0.00714888` Chr`18` : `7,172,523`	0.002	0.998	0.000
rs17440727 lBF = `-0.0826275` Chr`18` : `6,990,995`	0.000	0.998	0.002
rs73963343 lBF = `-0.011417` Chr`18` : `64,699,974`	0.002	0.998	0.000
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.001	0.998	0.001
rs4890568 lBF = `1.51705` Chr`18` : `43,231,622`	0.000	0.998	0.001
rs9960150 lBF = `1.82464` Chr`18` : `48,008,440`	0.000	0.998	0.001
rs11152369 lBF = `0.448202` Chr`18` : `53,066,328`	0.001	0.998	0.000
rs62091368 lBF = `0.133303` Chr`18` : `514,471`	0.001	0.998	0.001
rs11877878 lBF = `0.22366` Chr`18` : `23,764,235`	0.001	0.999	0.000
rs35815903 lBF = `-0.00326249` Chr`18` : `69,274,571`	0.001	0.999	0.000
rs12607903 lBF = `0.0606153` Chr`18` : `3,817,134`	0.000	0.999	0.001
rs17594526 lBF = `0.69701` Chr`18` : `53,058,238`	0.001	0.999	0.000
rs12970291 lBF = `0.0586602` Chr`18` : `73,017,234`	0.001	0.999	0.000
rs6506284 lBF = `0.00043585` Chr`18` : `5,030,023`	0.001	0.999	0.000
rs1362858 lBF = `-0.0857261` Chr`18` : `32,986,600`	0.000	0.999	0.001
rs17058466 lBF = `-0.00023739` Chr`18` : `73,605,345`	0.001	0.999	0.000
rs970510 lBF = `-0.0559925` Chr`18` : `69,479,921`	0.001	0.999	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.001	0.999	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.001	0.999	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.001	0.999	0.000
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	0.999	0.001
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs56308049 lBF = `5.33128` Chr`18` : `27,976,836`	0.001	0.999	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.001	0.999	0.000
rs8090011 lBF = `-0.0802689` Chr`18` : `7,068,462`	0.000	0.999	0.001
rs1784848 lBF = `0.205323` Chr`18` : `2,176,439`	0.001	0.999	0.000
rs7238309 lBF = `0.00002807` Chr`18` : `55,145,692`	0.001	0.999	0.000
rs715170 lBF = `-0.0458681` Chr`18` : `53,795,514`	0.000	0.999	0.001
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rs17697518 lBF = `0.615094` Chr`18` : `38,765,659`	0.000	1.000	0.000
rs72963233 lBF = `0.279766` Chr`18` : `31,929,247`	0.000	1.000	0.000
rs12456492 lBF = `0.0943272` Chr`18` : `40,673,380`	0.000	1.000	0.000
rs9953769 lBF = `0.0267593` Chr`18` : `71,021,568`	0.000	1.000	0.000
rs3794924 lBF = `-0.0125339` Chr`18` : `29,041,734`	0.000	1.000	0.000
rs7240206 lBF = `-0.0215768` Chr`18` : `74,435,154`	0.000	1.000	0.000
rs7505290 lBF = `-0.0327581` Chr`18` : `74,183,562`	0.000	1.000	0.000
rs1120787 lBF = `-0.0384799` Chr`18` : `54,983,554`	0.000	1.000	0.000
rs10502675 lBF = `-0.0444613` Chr`18` : `35,198,296`	0.000	1.000	0.000
rs62095459 lBF = `5.05503` Chr`18` : `44,621,382`	0.000	1.000	0.000
rs7229639 lBF = `1.53483` Chr`18` : `46,450,976`	0.000	1.000	0.000
rs117535166 lBF = `1.25676` Chr`18` : `68,069,271`	0.000	1.000	0.000
rs11663316 lBF = `0.0503791` Chr`18` : `9,027,914`	0.000	1.000	0.000
rs17086172 lBF = `0.0126079` Chr`18` : `70,227,021`	0.000	1.000	0.000
rs12959333 lBF = `-0.0134637` Chr`18` : `33,199,916`	0.000	1.000	0.000
rs56775891 lBF = `-0.0160958` Chr`18` : `77,575,613`	0.000	1.000	0.000
rs12457254 lBF = `-0.0200572` Chr`18` : `55,637,712`	0.000	1.000	0.000
rs7233332 lBF = `-0.0206989` Chr`18` : `9,784,914`	0.000	1.000	0.000
rs1291183 lBF = `-0.0259174` Chr`18` : `849,178`	0.000	1.000	0.000
rs8098600 lBF = `-0.041373` Chr`18` : `10,592,713`	0.000	1.000	0.000
rs9807334 lBF = `-0.0439374` Chr`18` : `48,524,161`	0.000	1.000	0.000
rs1187256 lBF = `1.91798` Chr`18` : `35,295,330`	0.000	1.000	0.000
rs13353224 lBF = `0.113731` Chr`18` : `65,400,425`	0.000	1.000	0.000
rs1452787 lBF = `0.102049` Chr`18` : `53,207,207`	0.000	1.000	0.000
rs9960767 lBF = `0.0851226` Chr`18` : `53,155,002`	0.000	1.000	0.000
rs10503019 lBF = `0.0660409` Chr`18` : `55,454,377`	0.000	1.000	0.000
rs144653651 lBF = `0.0105332` Chr`18` : `12,909,504`	0.000	1.000	0.000
rs10502868 lBF = `0.00560334` Chr`18` : `43,153,949`	0.000	1.000	0.000
rs597503 lBF = `-0.0247466` Chr`18` : `6,939,947`	0.000	1.000	0.000
rs1455244 lBF = `-0.0306742` Chr`18` : `11,494,199`	0.000	1.000	0.000
rs518471 lBF = `-0.0529929` Chr`18` : `618,124`	0.000	1.000	0.000
rs72932713 lBF = `10.0951` Chr`18` : `53,186,911`	0.000	1.000	0.000
rs884205 lBF = `0.32864` Chr`18` : `60,054,857`	0.000	1.000	0.000
rs4130047 lBF = `0.12744` Chr`18` : `40,678,235`	0.000	1.000	0.000
rs2980976 lBF = `0.0327223` Chr`18` : `60,080,112`	0.000	1.000	0.000
rs7226835 lBF = `0.0320584` Chr`18` : `37,165,305`	0.000	1.000	0.000
rs17783459 lBF = `0.00513874` Chr`18` : `42,329,076`	0.000	1.000	0.000
rs4799088 lBF = `-0.0108338` Chr`18` : `77,573,548`	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
rs8088420 lBF = `-0.0330147` Chr`18` : `56,511,908`	0.000	1.000	0.000
rs4940203 lBF = `-0.0457266` Chr`18` : `50,192,396`	0.000	1.000	0.000
rs8084580 lBF = `5.13246` Chr`18` : `4,106,522`	0.000	1.000	0.000
rs7234864 lBF = `4.40321` Chr`18` : `57,734,857`	0.000	1.000	0.000
rs12968116 lBF = `3.23977` Chr`18` : `55,322,502`	0.000	1.000	0.000
rs549476 lBF = `0.386853` Chr`18` : `55,810,733`	0.000	1.000	0.000
rs4800148 lBF = `0.137038` Chr`18` : `20,724,328`	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
rs12456021 lBF = `0.00182836` Chr`18` : `56,213,390`	0.000	1.000	0.000
rs17574271 lBF = `-0.0190117` Chr`18` : `3,970,124`	0.000	1.000	0.000
rs17782904 lBF = `-0.0277588` Chr`18` : `42,313,710`	0.000	1.000	0.000
rs12185468 lBF = `-0.0310759` Chr`18` : `8,479,685`	0.000	1.000	0.000
rs4800452 lBF = `-0.0380228` Chr`18` : `20,727,611`	0.000	1.000	0.000
rs473976 lBF = `-0.0567698` Chr`18` : `40,418,431`	0.000	1.000	0.000
rs7243066 lBF = `-0.0706306` Chr`18` : `11,282,319`	0.000	1.000	0.000
rs2920001 lBF = `-0.0767493` Chr`18` : `28,789,725`	0.000	1.000	0.000
rs12455580 lBF = `-0.0955612` Chr`18` : `75,638,023`	0.000	1.000	0.000
rs1557305 lBF = `-0.107878` Chr`18` : `4,721,359`	0.000	1.000	0.000
rs1667255 lBF = `2.62488` Chr`18` : `29,187,279`	0.000	1.000	0.000
rs11659841 lBF = `0.780136` Chr`18` : `25,786,880`	0.000	1.000	0.000
rs8099213 lBF = `0.559387` Chr`18` : `64,952,213`	0.000	1.000	0.000
rs16942421 lBF = `0.282577` Chr`18` : `24,156,425`	0.000	1.000	0.000
rs1618992 lBF = `0.12992` Chr`18` : `26,246,051`	0.000	1.000	0.000
rs1623523 lBF = `0.103815` Chr`18` : `3,328,746`	0.000	1.000	0.000
rs7506045 lBF = `0.0511143` Chr`18` : `11,987,272`	0.000	1.000	0.000
rs11664536 lBF = `0.0347783` Chr`18` : `5,578,982`	0.000	1.000	0.000
rs2926621 lBF = `-0.0127574` Chr`18` : `73,620,170`	0.000	1.000	0.000
rs17088339 lBF = `-0.0172204` Chr`18` : `71,476,133`	0.000	1.000	0.000
rs4327120 lBF = `-0.0185945` Chr`18` : `36,532,976`	0.000	1.000	0.000
rs12165098 lBF = `-0.0207157` Chr`18` : `36,680,499`	0.000	1.000	0.000
rs8088832 lBF = `-0.031911` Chr`18` : `69,926,757`	0.000	1.000	0.000
rs1157477 lBF = `-0.0411558` Chr`18` : `73,850,510`	0.000	1.000	0.000
rs1619249 lBF = `-0.0439138` Chr`18` : `49,190,644`	0.000	1.000	0.000
rs403814 lBF = `-0.0540524` Chr`18` : `6,282,593`	0.000	1.000	0.000
rs527616 lBF = `-0.0720427` Chr`18` : `24,337,424`	0.000	1.000	0.000
rs2887004 lBF = `-0.0723229` Chr`18` : `69,379,390`	0.000	1.000	0.000
rs1788776 lBF = `-0.0830695` Chr`18` : `21,244,037`	0.000	1.000	0.000
rs9951026 lBF = `-0.109832` Chr`18` : `47,109,693`	0.000	1.000	0.000
rs79588679 lBF = `2.93535` Chr`18` : `19,907,770`	0.000	1.000	0.000
rs9951150 lBF = `1.81007` Chr`18` : `52,821,124`	0.000	1.000	0.000
rs1187264 lBF = `0.165543` Chr`18` : `35,289,647`	0.000	1.000	0.000
rs9958208 lBF = `0.0324831` Chr`18` : `40,591,084`	0.000	1.000	0.000
rs12961799 lBF = `0.0175059` Chr`18` : `12,904,399`	0.000	1.000	0.000
rs8098316 lBF = `-0.0332384` Chr`18` : `20,672,555`	0.000	1.000	0.000
rs12957516 lBF = `-0.0462702` Chr`18` : `35,215,517`	0.000	1.000	0.000
rs473518 lBF = `-0.0490527` Chr`18` : `20,084,674`	0.000	1.000	0.000
rs10502861 lBF = `-0.0546688` Chr`18` : `42,800,148`	0.000	1.000	0.000
rs4890489 lBF = `-0.0603201` Chr`18` : `42,431,244`	0.000	1.000	0.000
rs991014 lBF = `-0.0620715` Chr`18` : `42,439,886`	0.000	1.000	0.000
rs62097350 lBF = `-0.0665892` Chr`18` : `13,298,943`	0.000	1.000	0.000
rs1941342 lBF = `-0.0710315` Chr`18` : `31,595,533`	0.000	1.000	0.000
rs17194666 lBF = `-0.07569` Chr`18` : `73,089,377`	0.000	1.000	0.000
rs1420956 lBF = `-0.0952534` Chr`18` : `25,167,945`	0.000	1.000	0.000
rs7239368 lBF = `-0.106469` Chr`18` : `31,645,379`	0.000	1.000	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	1.000	0.000
rs8083786 lBF = `2.85044` Chr`18` : `12,881,361`	0.000	1.000	0.000
rs11150911 lBF = `0.0317226` Chr`18` : `73,498,528`	0.000	1.000	0.000
rs10502431 lBF = `0.0171681` Chr`18` : `20,015,975`	0.000	1.000	0.000
rs1704734 lBF = `0.0103991` Chr`18` : `66,314,072`	0.000	1.000	0.000
rs1992269 lBF = `-0.0215628` Chr`18` : `1,872,317`	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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.2997

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1934

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9979

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9973

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9911

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9891

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9820

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9806

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9589

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9441

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9394

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9389

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9310

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9192

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9183

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9057

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9055

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9044

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8888

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8862

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8846

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8791

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8652

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8518

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8422

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8421

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8363

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8342

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8290

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8211

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8207

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.8202

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8121

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8096

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.8037

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7889

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7816

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7666

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7660

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7611

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7555

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7133

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7096

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7058

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7042

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7028

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6896

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6811

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6807

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6787

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6752

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6719

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6710

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6640

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6526

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6487

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6326

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6031

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5947

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5923

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5815

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5607

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5501

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5460

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5460

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5408

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5338

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5182

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5011

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4963

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4924

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4894

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4795

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4725

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4684

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4672

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4663

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4538

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4523

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4480

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4340

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4176

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4131

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4129

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4110

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4104

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4098

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3999

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3961

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3928

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3911

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3583

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3379

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3230

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3185

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3170

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3100

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3093

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2963

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2903

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2798

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2714

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2634

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2602

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2355

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2344

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2219

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2097

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1962

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1931

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1828

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1823

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1776

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1759

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1705

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1583

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1571

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1561

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1539

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1539

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1462

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1444

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1396

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1320

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1270

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1200

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1122

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1061

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1055

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0936

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0800

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0768

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0744

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0725

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0700

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0687

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0648

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0617

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0595

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0584

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0577

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0550

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0541

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0534

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`)