TreeWAS – [L71.9] Rosacea, 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
rs2859071 lBF = `156.153` Chr`6` : `32,703,366`	0.981	0.019	0.000
rs2213567 lBF = `166.977` Chr`6` : `32,711,655`	0.963	0.037	0.000
rs9276430 lBF = `170.396` Chr`6` : `32,712,182`	0.959	0.041	0.000
rs9276423 lBF = `168.231` Chr`6` : `32,710,855`	0.000	0.045	0.955
rs7773149 lBF = `168.886` Chr`6` : `32,706,042`	0.952	0.048	0.000
rs9276490 lBF = `169.999` Chr`6` : `32,718,681`	0.952	0.048	0.000
rs2213571 lBF = `169.161` Chr`6` : `32,719,937`	0.949	0.051	0.000
rs2213568 lBF = `169.858` Chr`6` : `32,711,576`	0.945	0.055	0.000
rs2213572 lBF = `171.23` Chr`6` : `32,719,804`	0.943	0.057	0.000
rs9276558 lBF = `162.631` Chr`6` : `32,724,061`	0.943	0.057	0.000
rs4248169 lBF = `168.533` Chr`6` : `32,728,554`	0.942	0.058	0.000
rs2006165 lBF = `170.284` Chr`6` : `32,728,787`	0.939	0.061	0.000
rs3213485 lBF = `169.673` Chr`6` : `32,724,719`	0.939	0.061	0.000
rs7753017 lBF = `168.726` Chr`6` : `32,727,325`	0.939	0.061	0.000
rs1023448 lBF = `170.7` Chr`6` : `32,728,191`	0.938	0.062	0.000
rs9276370 lBF = `167.191` Chr`6` : `32,707,295`	0.935	0.065	0.000
rs2395256 lBF = `171.011` Chr`6` : `32,728,588`	0.934	0.066	0.000
rs9276432 lBF = `174.327` Chr`6` : `32,712,384`	0.932	0.068	0.000
Affx-28505362 lBF = `173.151` Chr`6` : `32,729,459`	0.926	0.074	0.000
rs9276429 lBF = `176.591` Chr`6` : `32,712,104`	0.925	0.075	0.000
rs762815 lBF = `174.539` Chr`6` : `32,729,642`	0.921	0.079	0.000
rs2301271 lBF = `176.766` Chr`6` : `32,725,193`	0.915	0.085	0.000
rs9276431 lBF = `177.694` Chr`6` : `32,712,247`	0.913	0.087	0.000
rs2859113 lBF = `158.616` Chr`6` : `32,697,785`	0.000	0.093	0.907
rs2051549 lBF = `174.239` Chr`6` : `32,730,086`	0.907	0.093	0.000
rs7453920 lBF = `174.036` Chr`6` : `32,730,012`	0.904	0.096	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.869	0.131	0.000
rs7768538 lBF = `173.854` Chr`6` : `32,729,821`	0.863	0.137	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.856	0.144	0.000
rs59735097 lBF = `7.95782` Chr`2` : `70,398,587`	0.839	0.161	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.837	0.163	0.000
rs3094157 lBF = `54.2952` Chr`6` : `29,836,239`	0.835	0.165	0.000
rs2743931 lBF = `53.7657` Chr`6` : `29,787,072`	0.829	0.171	0.000
rs114763188 lBF = `9.2156` Chr`2` : `227,016,204`	0.826	0.174	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.819	0.181	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.818	0.182	0.000
rs1233330 lBF = `54.1314` Chr`6` : `29,799,103`	0.813	0.187	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.812	0.188	0.000
rs1632971 lBF = `54.1062` Chr`6` : `29,777,911`	0.811	0.189	0.000
rs2506933 lBF = `1.94426` Chr`6` : `93,615,450`	0.799	0.201	0.000
rs1632984 lBF = `54.2695` Chr`6` : `29,773,392`	0.795	0.205	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.777	0.223	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.774	0.226	0.000
rs6906021 lBF = `280.702` Chr`6` : `32,626,311`	0.000	0.228	0.772
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.764	0.236	0.000
rs9273401 lBF = `339.214` Chr`6` : `32,627,129`	0.761	0.238	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.761	0.239	0.000
rs116567155 lBF = `9.80102` Chr`2` : `226,816,897`	0.754	0.246	0.000
Affx-28502500 lBF = `331.394` Chr`6` : `32,682,137`	0.753	0.247	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.752	0.248	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.750	0.250	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.746	0.254	0.000
rs9275326 lBF = `348.679` Chr`6` : `32,666,660`	0.746	0.254	0.000
rs9275857 lBF = `57.3` Chr`6` : `32,691,308`	0.745	0.255	0.000
rs9276291 lBF = `58.1117` Chr`6` : `32,702,813`	0.744	0.256	0.000
rs9275994 lBF = `56.7024` Chr`6` : `32,694,296`	0.744	0.256	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.744	0.256	0.000
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	0.742	0.258	0.000
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	0.738	0.262	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.735	0.265	0.000
rs3129736 lBF = `57.9534` Chr`6` : `32,685,953`	0.734	0.265	0.000
rs9275599 lBF = `314.243` Chr`6` : `32,682,429`	0.734	0.266	0.000
rs9275772 lBF = `57.4393` Chr`6` : `32,689,503`	0.732	0.268	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	0.732	0.268	0.000
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	0.732	0.268	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.727	0.273	0.000
rs5018343 lBF = `58.9799` Chr`6` : `32,710,119`	0.726	0.274	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.726	0.274	0.000
rs3957146 lBF = `341.478` Chr`6` : `32,681,530`	0.726	0.274	0.000
rs9275765 lBF = `56.5539` Chr`6` : `32,689,324`	0.723	0.277	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.722	0.278	0.000
rs9275700 lBF = `56.5748` Chr`6` : `32,688,055`	0.720	0.280	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.719	0.281	0.000
rs9268500 lBF = `35.1497` Chr`6` : `32,376,517`	0.718	0.282	0.000
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	0.718	0.282	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.716	0.284	0.000
rs3763305 lBF = `35.2118` Chr`6` : `32,369,488`	0.716	0.284	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.709	0.291	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.708	0.292	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.707	0.293	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.702	0.298	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.699	0.301	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.698	0.302	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.697	0.303	0.000
Affx-28508994 lBF = `12.3138` Chr`6` : `32,880,409`	0.000	0.303	0.697
rs2859102 lBF = `56.9757` Chr`6` : `32,699,054`	0.696	0.304	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.696	0.304	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.695	0.305	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.695	0.305	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.694	0.306	0.000
rs7771946 lBF = `56.8223` Chr`6` : `32,698,800`	0.693	0.307	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.693	0.307	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.691	0.309	0.000
rs7773694 lBF = `58.2027` Chr`6` : `32,706,334`	0.690	0.310	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.685	0.315	0.000
rs3852213 lBF = `14.0208` Chr`6` : `28,732,364`	0.678	0.322	0.000
rs5030965 lBF = `7.66452` Chr`6` : `27,216,699`	0.676	0.324	0.000
rs7773068 lBF = `57.214` Chr`6` : `32,706,234`	0.675	0.325	0.000
rs1107158 lBF = `13.6284` Chr`6` : `28,671,651`	0.674	0.326	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.674	0.326	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.672	0.328	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.670	0.330	0.000
rs9275749 lBF = `56.2717` Chr`6` : `32,689,056`	0.668	0.332	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.666	0.334	0.000
Affx-28507878 lBF = `12.4749` Chr`6` : `32,823,948`	0.000	0.336	0.664
rs1107159 lBF = `13.878` Chr`6` : `28,671,723`	0.663	0.337	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.658	0.342	0.000
rs241418 lBF = `13.3098` Chr`6` : `32,827,356`	0.000	0.346	0.654
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.651	0.349	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.645	0.354	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.646	0.354	0.000
rs5029394 lBF = `57.4101` Chr`6` : `32,695,082`	0.644	0.356	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.643	0.357	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.642	0.358	0.000
rs384247 lBF = `26.2997` Chr`6` : `32,184,574`	0.000	0.358	0.642
rs6901325 lBF = `11.8063` Chr`6` : `28,675,630`	0.638	0.362	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.637	0.363	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.637	0.363	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.636	0.364	0.000
rs79050343 lBF = `8.99835` Chr`11` : `124,087,817`	0.635	0.365	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.631	0.369	0.000
rs2273565 lBF = `6.83534` Chr`6` : `27,222,974`	0.629	0.371	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.626	0.374	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.625	0.375	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.624	0.376	0.000
rs9275334 lBF = `329.259` Chr`6` : `32,667,107`	0.622	0.378	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.621	0.379	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.620	0.380	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.619	0.381	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.618	0.382	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.615	0.385	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.615	0.385	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.614	0.386	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.613	0.387	0.000
rs17791975 lBF = `7.13706` Chr`3` : `85,118,035`	0.611	0.389	0.000
rs11710077 lBF = `14.9284` Chr`3` : `38,657,899`	0.609	0.391	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.608	0.392	0.000
rs28780089 lBF = `50.8465` Chr`6` : `30,115,946`	0.607	0.393	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.603	0.396	0.000
rs3893259 lBF = `65.4367` Chr`6` : `29,934,454`	0.603	0.397	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.603	0.397	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.603	0.397	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.602	0.398	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.600	0.400	0.000
rs11758636 lBF = `6.63593` Chr`6` : `27,229,561`	0.599	0.401	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.598	0.402	0.000
rs4959036 lBF = `65.6181` Chr`6` : `29,936,135`	0.598	0.402	0.000
rs2844677 lBF = `5.63348` Chr`6` : `30,955,359`	0.000	0.403	0.597
rs9275743 lBF = `56.409` Chr`6` : `32,688,925`	0.596	0.403	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.596	0.404	0.000
rs73138705 lBF = `14.0343` Chr`3` : `85,470,361`	0.596	0.404	0.000
rs2499 lBF = `49.9291` Chr`6` : `29,913,542`	0.595	0.405	0.000
rs12203592 lBF = `220.671` Chr`6` : `396,321`	0.595	0.405	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.594	0.406	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.593	0.407	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.589	0.411	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.589	0.411	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.588	0.412	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.586	0.414	0.000
rs116369005 lBF = `22.4527` Chr`6` : `31,847,418`	0.586	0.414	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.585	0.415	0.000
rs9260761 lBF = `65.1425` Chr`6` : `29,935,469`	0.584	0.416	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.582	0.418	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.581	0.419	0.000
rs9276147 lBF = `53.958` Chr`6` : `32,698,098`	0.579	0.421	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.578	0.422	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.578	0.422	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.577	0.423	0.000
rs73134752 lBF = `11.2492` Chr`3` : `85,437,738`	0.577	0.423	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.576	0.424	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.574	0.425	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.573	0.427	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.573	0.427	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.572	0.428	0.000
rs5025708 lBF = `59.8036` Chr`6` : `29,955,199`	0.572	0.428	0.000
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.572	0.428	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.571	0.429	0.000
rs73052920 lBF = `29.3216` Chr`3` : `37,760,669`	0.570	0.430	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.570	0.430	0.000
rs116161699 lBF = `8.96181` Chr`6` : `66,726,604`	0.570	0.430	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.569	0.431	0.000
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	0.569	0.431	0.000
rs3121593 lBF = `64.7168` Chr`6` : `30,002,793`	0.568	0.432	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.568	0.432	0.000
rs73130739 lBF = `7.84824` Chr`3` : `85,287,296`	0.567	0.433	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.567	0.433	0.000
rs28780087 lBF = `50.2342` Chr`6` : `30,109,773`	0.566	0.434	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.566	0.434	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.564	0.435	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.564	0.436	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.564	0.436	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.561	0.439	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.561	0.439	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.560	0.440	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.560	0.440	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.559	0.441	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.558	0.441	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.558	0.442	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.557	0.443	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.557	0.443	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.557	0.443	0.000
rs73125111 lBF = `7.02008` Chr`3` : `85,110,971`	0.556	0.443	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.556	0.443	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.556	0.444	0.000
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rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.464	0.536	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.464	0.536	0.000
rs362521 lBF = `30.2823` Chr`6` : `29,556,759`	0.464	0.536	0.000
rs188135659 lBF = `15.5868` Chr`3` : `19,839,062`	0.462	0.538	0.000
rs9468474 lBF = `20.5637` Chr`6` : `29,013,133`	0.462	0.538	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.462	0.538	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.462	0.538	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.461	0.539	0.000
rs41270464 lBF = `20.6916` Chr`6` : `32,148,724`	0.461	0.539	0.000
rs67068100 lBF = `25.2032` Chr`6` : `31,429,913`	0.461	0.539	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.461	0.539	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.459	0.541	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.459	0.541	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.459	0.541	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.458	0.541	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.458	0.542	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.458	0.542	0.000
rs180771047 lBF = `2.90315` Chr`2` : `227,185,851`	0.457	0.542	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.457	0.542	0.000
rs150097632 lBF = `16.4138` Chr`21` : `40,688,518`	0.457	0.543	0.000
rs57681851 lBF = `3.26619` Chr`4` : `2,290,698`	0.456	0.544	0.000
rs9275595 lBF = `259.515` Chr`6` : `32,681,355`	0.456	0.544	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.456	0.544	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.455	0.545	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.455	0.545	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.455	0.545	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.455	0.545	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.454	0.545	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.454	0.546	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.454	0.546	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.454	0.546	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.454	0.546	0.000
rs7381625 lBF = `104.537` Chr`6` : `32,734,169`	0.000	0.546	0.454
rs16899661 lBF = `21.9129` Chr`6` : `31,430,401`	0.454	0.546	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.454	0.546	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.454	0.546	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.454	0.546	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.454	0.546	0.000
rs79423523 lBF = `15.7536` Chr`2` : `58,673,886`	0.453	0.547	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.453	0.547	0.000
rs9332739 lBF = `16.6349` Chr`6` : `31,903,804`	0.453	0.547	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.453	0.547	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.452	0.548	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.452	0.548	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.451	0.548	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.452	0.548	0.000
rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.007	0.548	0.445
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.451	0.548	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.451	0.549	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.451	0.549	0.000
rs28895243 lBF = `68.4375` Chr`6` : `32,443,799`	0.451	0.549	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.451	0.549	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.451	0.549	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.450	0.549	0.000
rs76574709 lBF = `17.264` Chr`1` : `12,743,326`	0.450	0.549	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.450	0.549	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.450	0.550	0.000
rs7275212 lBF = `2.94756` Chr`21` : `39,852,551`	0.450	0.550	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.449	0.550	0.000
rs10044242 lBF = `7.21462` Chr`5` : `148,706,299`	0.449	0.551	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.449	0.551	0.000
rs61780598 lBF = `16.8509` Chr`1` : `53,131,770`	0.448	0.552	0.000
rs29255 lBF = `27.5069` Chr`6` : `29,579,544`	0.448	0.552	0.000
rs4151672 lBF = `15.5949` Chr`6` : `31,919,830`	0.448	0.552	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.447	0.552	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.447	0.552	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.447	0.553	0.000
rs77101722 lBF = `14.3457` Chr`2` : `126,788,300`	0.447	0.553	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.447	0.553	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.447	0.553	0.000
rs7756047 lBF = `8.51794` Chr`6` : `100,626,847`	0.446	0.553	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.446	0.554	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.446	0.554	0.000
rs2267635 lBF = `26.5692` Chr`6` : `29,592,431`	0.446	0.554	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.445	0.554	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.445	0.555	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.445	0.555	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.445	0.555	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.445	0.555	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.444	0.555	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.444	0.555	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.444	0.556	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.444	0.556	0.000
rs28732236 lBF = `68.0491` Chr`6` : `32,430,976`	0.443	0.556	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.443	0.557	0.000
rs28732201 lBF = `63.8841` Chr`6` : `32,350,454`	0.443	0.557	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.443	0.557	0.000
rs4151671 lBF = `17.276` Chr`6` : `31,918,903`	0.443	0.557	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.442	0.558	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.442	0.558	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.442	0.558	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.442	0.558	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.441	0.558	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.442	0.558	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1161

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1051

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.0575

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9956

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9933

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9906

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9736

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9634

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9604

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9377

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9343

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9100

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9039

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8831

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8787

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8486

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8463

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8415

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8280

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8261

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8228

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8157

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8068

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8048

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7962

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7887

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7785

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7690

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7666

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7653

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7555

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7501

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7362

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7301

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7213

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7208

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7147

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7108

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7043

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6868

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6778

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6770

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6712

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6683

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6676

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6668

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6610

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6568

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6399

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6171

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5975

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.5953

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5903

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5852

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5832

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5784

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5722

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5622

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5518

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5500

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5405

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5269

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5240

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5146

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5091

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5077

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5065

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5015

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4956

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4943

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4893

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4615

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4611

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4534

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4528

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4511

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4339

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4314

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4190

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4144

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4101

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4019

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3987

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3949

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3708

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3705

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3617

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3568

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3546

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3265

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3259

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3211

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3028

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3000

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2942

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2916

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2903

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2847

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2693

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2620

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2618

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2608

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2527

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2523

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2517

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2362

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2302

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2188

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2183

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2180

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2129

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2118

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2101

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2098

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2083

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2028

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2025

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2018

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1906

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1866

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1856

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1855

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1841

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1836

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1822

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1776

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1570

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1555

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1551

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1515

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1480

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1385

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1382

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1378

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1335

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1204

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1118

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1117

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1094

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1083

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1074

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1073

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1043

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0975

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0952

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0948

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0927

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0898

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0869

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0856

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0833

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0741

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0728

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0699

Cluster X0151

log Bayes Factor = 39.6689

contains 3 variants

0.0691

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0681

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0665

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0663

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0658

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0654

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0635

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0548

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0547

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0546

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0545

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0523

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0503

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`)