TreeWAS – [S82.00] Fracture of patella (closed)

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
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.715	0.285	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.653	0.347	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.604	0.396	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.599	0.401	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.530	0.470	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.501	0.499	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.496	0.504	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.495	0.505	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.489	0.511	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.488	0.512	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.487	0.513	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.477	0.523	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.472	0.528	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.470	0.529	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.462	0.538	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.455	0.545	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.451	0.549	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.442	0.558	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.440	0.560	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.429	0.571	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.427	0.573	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.426	0.574	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.425	0.575	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.415	0.585	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.410	0.590	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.396	0.604	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.387	0.612	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.380	0.620	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.378	0.622	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.360	0.640	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.345	0.655	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.341	0.659	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.338	0.662	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.332	0.668	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.329	0.671	0.000
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.324	0.675	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.321	0.679	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.321	0.679	0.000
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.315	0.685	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.313	0.687	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.309	0.691	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.308	0.691	0.001
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.307	0.692	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.306	0.694	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.302	0.697	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.295	0.705	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.289	0.711	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.288	0.712	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.284	0.716	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.281	0.719	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.279	0.720	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.274	0.726	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.274	0.726	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.269	0.731	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.263	0.737	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.261	0.738	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.255	0.745	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.254	0.746	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.253	0.747	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.249	0.751	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.244	0.756	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.239	0.761	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.239	0.761	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.235	0.765	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.232	0.768	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.223	0.777	0.001
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.220	0.780	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.219	0.780	0.001
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.219	0.780	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.217	0.783	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.214	0.786	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.213	0.786	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.211	0.789	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.211	0.789	0.001
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.206	0.794	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.203	0.797	0.000
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.202	0.797	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.202	0.798	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.201	0.799	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.199	0.800	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.199	0.801	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.197	0.803	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.191	0.809	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.189	0.811	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.187	0.812	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.181	0.819	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.176	0.824	0.000
rs113568918 lBF = `0.457294` Chr`18` : `67,546,690`	0.172	0.827	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.172	0.828	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.170	0.830	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.152	0.848	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.151	0.848	0.001
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.148	0.852	0.000
rs117535166 lBF = `1.25676` Chr`18` : `68,069,271`	0.147	0.853	0.000
rs4799964 lBF = `0.704227` Chr`18` : `27,985,479`	0.139	0.861	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.138	0.862	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.130	0.870	0.001
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.123	0.877	0.001
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.122	0.877	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.121	0.879	0.000
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.119	0.881	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.117	0.883	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.113	0.886	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.113	0.886	0.001
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.108	0.891	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.105	0.894	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.103	0.897	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.101	0.899	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.094	0.905	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.093	0.906	0.001
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.088	0.912	0.000
rs72943036 lBF = `15.0243` Chr`18` : `60,845,776`	0.081	0.919	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.079	0.921	0.000
rs11661646 lBF = `0.617595` Chr`18` : `65,483,812`	0.078	0.922	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.077	0.923	0.000
rs75687134 lBF = `0.409603` Chr`18` : `65,472,043`	0.071	0.929	0.000
rs11660238 lBF = `0.398846` Chr`18` : `65,470,134`	0.070	0.930	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.069	0.930	0.000
rs74789784 lBF = `0.397214` Chr`18` : `65,471,518`	0.069	0.930	0.000
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.068	0.932	0.000
rs55916387 lBF = `1.32445` Chr`18` : `31,246,244`	0.057	0.942	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.053	0.947	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.050	0.949	0.000
rs149615216 lBF = `5.16337` Chr`18` : `47,106,028`	0.044	0.956	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.043	0.957	0.000
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.042	0.957	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.035	0.964	0.001
rs144081173 lBF = `0.0948435` Chr`18` : `47,245,225`	0.031	0.968	0.001
rs7237422 lBF = `7.61091` Chr`18` : `69,334,652`	0.028	0.972	0.000
rs114535501 lBF = `0.141157` Chr`18` : `65,470,749`	0.026	0.974	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.015	0.979	0.005
rs11152369 lBF = `0.448202` Chr`18` : `53,066,328`	0.016	0.984	0.000
rs4553720 lBF = `-0.0567951` Chr`18` : `62,170,726`	0.014	0.986	0.000
rs60241046 lBF = `0.389149` Chr`18` : `31,390,868`	0.014	0.986	0.000
rs11663697 lBF = `0.128277` Chr`18` : `74,735,135`	0.014	0.986	0.000
rs8092234 lBF = `0.133484` Chr`18` : `9,371,333`	0.013	0.987	0.000
rs4891159 lBF = `0.0491863` Chr`18` : `74,101,941`	0.000	0.988	0.012
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.010	0.989	0.000
rs188403275 lBF = `0.470526` Chr`18` : `35,015,148`	0.010	0.990	0.001
rs17594526 lBF = `0.69701` Chr`18` : `53,058,238`	0.010	0.990	0.000
rs13381277 lBF = `-0.00572016` Chr`18` : `74,318,610`	0.000	0.991	0.009
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.009	0.991	0.000
rs17512836 lBF = `1.35567` Chr`18` : `53,194,961`	0.007	0.993	0.001
rs7244245 lBF = `0.145515` Chr`18` : `8,931,652`	0.007	0.993	0.000
rs3906453 lBF = `-0.0524443` Chr`18` : `51,258,338`	0.007	0.993	0.000
rs41418949 lBF = `0.0614003` Chr`18` : `70,442,068`	0.006	0.993	0.001
rs8084580 lBF = `5.13246` Chr`18` : `4,106,522`	0.006	0.994	0.000
rs768048 lBF = `0.0126005` Chr`18` : `50,285,398`	0.006	0.994	0.000
rs2639990 lBF = `0.00060051` Chr`18` : `72,915,551`	0.006	0.994	0.000
rs1941184 lBF = `-0.0248336` Chr`18` : `29,038,123`	0.000	0.995	0.005
rs7235840 lBF = `0.173722` Chr`18` : `73,725,200`	0.005	0.995	0.000
rs7506045 lBF = `0.0511143` Chr`18` : `11,987,272`	0.004	0.995	0.000
rs1787200 lBF = `0.113827` Chr`18` : `46,587,654`	0.004	0.996	0.000
rs12961799 lBF = `0.0175059` Chr`18` : `12,904,399`	0.000	0.996	0.004
rs9960767 lBF = `0.0851226` Chr`18` : `53,155,002`	0.004	0.996	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.004	0.996	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.004	0.996	0.000
rs17086172 lBF = `0.0126079` Chr`18` : `70,227,021`	0.004	0.996	0.000
rs17744182 lBF = `-0.0048654` Chr`18` : `30,032,525`	0.004	0.996	0.000
rs476828 lBF = `10.3029` Chr`18` : `57,852,587`	0.003	0.997	0.000
rs10469266 lBF = `-0.00354442` Chr`18` : `62,169,092`	0.003	0.997	0.000
rs11152213 lBF = `10.5482` Chr`18` : `57,852,948`	0.003	0.997	0.000
rs12971120 lBF = `-0.0345466` Chr`18` : `72,174,023`	0.000	0.997	0.003
rs10871777 lBF = `10.7023` Chr`18` : `57,851,763`	0.003	0.997	0.000
rs17700144 lBF = `7.11232` Chr`18` : `57,811,982`	0.003	0.997	0.000
rs7231996 lBF = `0.139196` Chr`18` : `71,266,519`	0.003	0.997	0.000
rs11082438 lBF = `0.212302` Chr`18` : `42,865,210`	0.003	0.997	0.000
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.003	0.997	0.000
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.002	0.997	0.000
rs9951026 lBF = `-0.109832` Chr`18` : `47,109,693`	0.003	0.997	0.000
rs150664883 lBF = `0.43826` Chr`18` : `35,146,206`	0.002	0.997	0.000
rs6567160 lBF = `10.4157` Chr`18` : `57,829,135`	0.003	0.997	0.000
rs2847281 lBF = `1.47314` Chr`18` : `12,821,593`	0.000	0.997	0.003
rs2980976 lBF = `0.0327223` Chr`18` : `60,080,112`	0.003	0.997	0.000
rs185549704 lBF = `0.0363675` Chr`18` : `69,287,950`	0.002	0.997	0.000
rs9963862 lBF = `-0.0724579` Chr`18` : `20,587,911`	0.003	0.997	0.000
rs17782313 lBF = `9.47631` Chr`18` : `57,851,097`	0.002	0.998	0.000
rs538656 lBF = `10.3603` Chr`18` : `57,850,422`	0.002	0.998	0.000
rs13353224 lBF = `0.113731` Chr`18` : `65,400,425`	0.000	0.998	0.002
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.998	0.002
rs12967135 lBF = `10.2859` Chr`18` : `57,849,023`	0.002	0.998	0.000
rs7240392 lBF = `5.36543` Chr`18` : `43,198,141`	0.000	0.998	0.002
rs663129 lBF = `10.1168` Chr`18` : `57,838,401`	0.002	0.998	0.000
rs17750321 lBF = `0.00425969` Chr`18` : `35,078,682`	0.002	0.998	0.000
rs12957347 lBF = `6.54836` Chr`18` : `57,751,014`	0.002	0.998	0.000
rs7505784 lBF = `-0.0300839` Chr`18` : `27,184,881`	0.002	0.998	0.000
rs36030660 lBF = `5.23833` Chr`18` : `57,735,945`	0.002	0.998	0.000
rs6565887 lBF = `0.00863623` Chr`18` : `74,182,975`	0.002	0.998	0.000
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.001	0.998	0.000
rs7234864 lBF = `4.40321` Chr`18` : `57,734,857`	0.002	0.998	0.000
rs12959200 lBF = `0.0912698` Chr`18` : `71,267,054`	0.002	0.998	0.000
rs571312 lBF = `10.5456` Chr`18` : `57,839,769`	0.002	0.998	0.000
rs8087073 lBF = `0.0584845` Chr`18` : `2,967,845`	0.002	0.998	0.000
rs16950303 lBF = `-0.00279929` Chr`18` : `46,582,359`	0.000	0.998	0.002
rs139095266 lBF = `0.0102423` Chr`18` : `66,379,738`	0.001	0.998	0.001
rs2847297 lBF = `3.35859` Chr`18` : `12,797,694`	0.002	0.998	0.000
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.001	0.998	0.000
rs75116816 lBF = `-0.0583398` Chr`18` : `47,289,049`	0.002	0.998	0.000
rs9675861 lBF = `-0.00714888` Chr`18` : `7,172,523`	0.001	0.998	0.000
rs145583025 lBF = `0.00517223` Chr`18` : `14,443,241`	0.001	0.998	0.000
rs1157477 lBF = `-0.0411558` Chr`18` : `73,850,510`	0.001	0.998	0.000
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rs4331426 lBF = `0.0201478` Chr`18` : `20,190,795`	0.000	0.999	0.000
rs4799950 lBF = `-0.00282136` Chr`18` : `35,170,045`	0.000	0.999	0.000
rs2864527 lBF = `-0.00619084` Chr`18` : `9,288,456`	0.000	0.999	0.000
rs12165098 lBF = `-0.0207157` Chr`18` : `36,680,499`	0.000	0.999	0.000
rs17083844 lBF = `-0.0283239` Chr`18` : `68,842,243`	0.000	0.999	0.000
rs11082321 lBF = `-0.0346267` Chr`18` : `20,776,651`	0.000	0.999	0.000
rs4145170 lBF = `-0.0718125` Chr`18` : `26,676,672`	0.000	0.999	0.000
rs346452 lBF = `0.0727667` Chr`18` : `39,940,966`	0.000	0.999	0.000
rs7233060 lBF = `0.033984` Chr`18` : `77,392,379`	0.000	0.999	0.000
rs12607055 lBF = `0.0153178` Chr`18` : `40,699,202`	0.000	0.999	0.000
rs1557351 lBF = `-0.0170027` Chr`18` : `54,752,314`	0.000	0.999	0.000
rs9959145 lBF = `-0.0319048` Chr`18` : `12,606,463`	0.000	0.999	0.000
rs1940973 lBF = `-0.0337389` Chr`18` : `12,550,747`	0.000	0.999	0.000
rs2717128 lBF = `-0.071274` Chr`18` : `74,987,632`	0.000	0.999	0.000
rs2187324 lBF = `-0.0884729` Chr`18` : `55,491,965`	0.000	0.999	0.000
rs66591657 lBF = `0.188644` Chr`18` : `76,415,450`	0.000	1.000	0.000
rs62091368 lBF = `0.133303` Chr`18` : `514,471`	0.000	1.000	0.000
rs7241918 lBF = `0.132748` Chr`18` : `47,160,953`	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
rs9952762 lBF = `0.0275078` Chr`18` : `73,401,650`	0.000	1.000	0.000
rs4939883 lBF = `0.00113261` Chr`18` : `47,167,214`	0.000	1.000	0.000
rs4327120 lBF = `-0.0185945` Chr`18` : `36,532,976`	0.000	1.000	0.000
rs12955474 lBF = `-0.0227347` Chr`18` : `57,152,038`	0.000	1.000	0.000
rs6508673 lBF = `-0.0234076` Chr`18` : `27,956,443`	0.000	1.000	0.000
rs1943199 lBF = `-0.029086` Chr`18` : `73,462,854`	0.000	1.000	0.000
rs2298574 lBF = `-0.0474444` Chr`18` : `25,569,058`	0.000	1.000	0.000
rs12456874 lBF = `-0.0687189` Chr`18` : `13,366,862`	0.000	1.000	0.000
rs1876449 lBF = `-0.0931902` Chr`18` : `1,471,413`	0.000	1.000	0.000
rs9964724 lBF = `0.373572` Chr`18` : `35,159,124`	0.000	1.000	0.000
rs7506840 lBF = `0.11647` Chr`18` : `6,522,756`	0.000	1.000	0.000
rs9635963 lBF = `0.0164355` Chr`18` : `21,749,615`	0.000	1.000	0.000
rs12604324 lBF = `-0.00214165` Chr`18` : `21,744,432`	0.000	1.000	0.000
rs1995138 lBF = `-0.0203531` Chr`18` : `51,526,568`	0.000	1.000	0.000
rs12954803 lBF = `-0.0219224` Chr`18` : `22,136,569`	0.000	1.000	0.000
rs7226677 lBF = `-0.0311434` Chr`18` : `278,796`	0.000	1.000	0.000
rs141348977 lBF = `-0.0340627` Chr`18` : `3,107,404`	0.000	1.000	0.000
rs9304270 lBF = `1.42842` Chr`18` : `39,937,509`	0.000	1.000	0.000
rs16949825 lBF = `0.945855` Chr`18` : `46,227,444`	0.000	1.000	0.000
rs2187375 lBF = `0.0745483` Chr`18` : `47,172,283`	0.000	1.000	0.000
rs16951095 lBF = `-0.0255469` Chr`18` : `7,042,911`	0.000	1.000	0.000
rs12605822 lBF = `-0.0419833` Chr`18` : `9,296,524`	0.000	1.000	0.000
rs11662748 lBF = `-0.0461203` Chr`18` : `5,762,618`	0.000	1.000	0.000
rs28498503 lBF = `-0.058068` Chr`18` : `76,662,955`	0.000	1.000	0.000
rs7244261 lBF = `-0.0766028` Chr`18` : `66,214,696`	0.000	1.000	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.000	1.000	0.000
rs7240405 lBF = `0.0955091` Chr`18` : `47,159,090`	0.000	1.000	0.000
rs17664267 lBF = `0.0349389` Chr`18` : `40,808,798`	0.000	1.000	0.000
rs10460009 lBF = `0.00915213` Chr`18` : `2,948,029`	0.000	1.000	0.000
rs8098316 lBF = `-0.0332384` Chr`18` : `20,672,555`	0.000	1.000	0.000
rs9807334 lBF = `-0.0439374` Chr`18` : `48,524,161`	0.000	1.000	0.000
rs8099121 lBF = `2.09268` Chr`18` : `4,980,408`	0.000	1.000	0.000
rs12960119 lBF = `0.0613299` Chr`18` : `23,614,703`	0.000	1.000	0.000
rs9958208 lBF = `0.0324831` Chr`18` : `40,591,084`	0.000	1.000	0.000
rs11082098 lBF = `0.00614239` Chr`18` : `36,198,732`	0.000	1.000	0.000
rs1050631 lBF = `-0.010527` Chr`18` : `33,694,120`	0.000	1.000	0.000
rs79828856 lBF = `-0.0126522` Chr`18` : `35,036,830`	0.000	1.000	0.000
rs17574271 lBF = `-0.0190117` Chr`18` : `3,970,124`	0.000	1.000	0.000
rs7227892 lBF = `-0.0326973` Chr`18` : `46,336,702`	0.000	1.000	0.000
rs10513968 lBF = `-0.0867442` Chr`18` : `67,283,141`	0.000	1.000	0.000
rs1436904 lBF = `-0.114988` Chr`18` : `24,570,667`	0.000	1.000	0.000
rs80191532 lBF = `12.2522` Chr`18` : `12,752,868`	0.000	1.000	0.000
rs6507939 lBF = `0.224144` Chr`18` : `47,176,261`	0.000	1.000	0.000
rs8083633 lBF = `0.0866349` Chr`18` : `3,522,006`	0.000	1.000	0.000
rs1120787 lBF = `-0.0384799` Chr`18` : `54,983,554`	0.000	1.000	0.000
rs12957516 lBF = `-0.0462702` Chr`18` : `35,215,517`	0.000	1.000	0.000
rs17073641 lBF = `-0.0984909` Chr`18` : `62,418,444`	0.000	1.000	0.000
rs16953013 lBF = `9.1474` Chr`18` : `48,780,405`	0.000	1.000	0.000
rs8083786 lBF = `2.85044` Chr`18` : `12,881,361`	0.000	1.000	0.000
rs17697518 lBF = `0.615094` Chr`18` : `38,765,659`	0.000	1.000	0.000
rs9962038 lBF = `0.422456` Chr`18` : `74,760,015`	0.000	1.000	0.000
rs72963233 lBF = `0.279766` Chr`18` : `31,929,247`	0.000	1.000	0.000
rs11875185 lBF = `0.0153574` Chr`18` : `55,627,840`	0.000	1.000	0.000
rs10503015 lBF = `0.00963828` Chr`18` : `55,175,143`	0.000	1.000	0.000
rs62096106 lBF = `-0.0161061` Chr`18` : `59,838,919`	0.000	1.000	0.000
rs2049186 lBF = `-0.0288966` Chr`18` : `32,015,228`	0.000	1.000	0.000
rs12185468 lBF = `-0.0310759` Chr`18` : `8,479,685`	0.000	1.000	0.000
rs970510 lBF = `-0.0559925` Chr`18` : `69,479,921`	0.000	1.000	0.000
rs512279 lBF = `-0.0713766` Chr`18` : `58,232,100`	0.000	1.000	0.000
rs7240382 lBF = `-0.0820825` Chr`18` : `74,450,640`	0.000	1.000	0.000
rs7238033 lBF = `-0.0992199` Chr`18` : `43,316,966`	0.000	1.000	0.000
rs10775480 lBF = `-0.09977` Chr`18` : `43,317,282`	0.000	1.000	0.000
rs11874392 lBF = `66.5982` Chr`18` : `46,453,156`	0.000	1.000	0.000
rs1631486 lBF = `4.08365` Chr`18` : `53,026,357`	0.000	1.000	0.000
rs7229639 lBF = `1.53483` Chr`18` : `46,450,976`	0.000	1.000	0.000
rs16942421 lBF = `0.282577` Chr`18` : `24,156,425`	0.000	1.000	0.000
rs72934570 lBF = `-0.0440825` Chr`18` : `53,533,189`	0.000	1.000	0.000
rs4940203 lBF = `-0.0457266` Chr`18` : `50,192,396`	0.000	1.000	0.000
rs7226408 lBF = `-0.0493902` Chr`18` : `34,371,861`	0.000	1.000	0.000
rs473976 lBF = `-0.0567698` Chr`18` : `40,418,431`	0.000	1.000	0.000
rs56728521 lBF = `-0.0617335` Chr`18` : `1,984,421`	0.000	1.000	0.000
rs17773430 lBF = `0.194865` Chr`18` : `57,963,117`	0.000	1.000	0.000
rs2660917 lBF = `0.143926` Chr`18` : `68,628,078`	0.000	1.000	0.000
rs12455557 lBF = `0.122909` Chr`18` : `46,317,088`	0.000	1.000	0.000
rs12326088 lBF = `0.118065` Chr`18` : `73,507,569`	0.000	1.000	0.000
rs11150911 lBF = `0.0317226` Chr`18` : `73,498,528`	0.000	1.000	0.000
rs2217560 lBF = `0.0078309` Chr`18` : `70,150,939`	0.000	1.000	0.000
rs9947295 lBF = `0.00305306` Chr`18` : `11,759,432`	0.000	1.000	0.000
rs1442089 lBF = `-0.00174034` Chr`18` : `51,107,079`	0.000	1.000	0.000
rs275856 lBF = `-0.0230627` Chr`18` : `21,839,152`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5066

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9665

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9662

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9567

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9437

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9289

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9268

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9173

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9061

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8820

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8803

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8680

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8312

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7856

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7827

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7818

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7768

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7690

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7342

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7316

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.7285

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6940

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6895

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6537

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6431

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6333

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6304

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6198

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6035

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6024

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6011

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5999

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5873

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5745

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5578

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5517

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5506

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5407

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5387

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5308

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5234

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5119

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5105

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5000

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4948

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4859

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4835

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4704

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4614

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4434

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4425

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4151

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4099

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4027

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4016

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3973

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3915

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3913

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3893

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3755

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3686

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3635

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3579

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3466

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3324

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3324

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3081

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2943

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2861

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2838

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2752

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2659

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2655

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2554

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2314

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2306

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2271

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2152

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2105

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2089

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2069

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2027

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1921

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1895

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1854

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1820

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1812

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1811

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1740

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1731

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1699

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1686

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1650

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1640

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1627

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1610

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1598

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1526

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1489

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1464

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1463

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1441

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1370

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1366

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1365

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1310

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1252

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1233

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1103

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1052

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1010

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1010

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1001

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0997

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0967

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0962

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0943

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0912

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0860

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0858

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0837

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0815

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0797

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0789

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0783

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0773

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0697

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0669

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0619

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0516

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`)