TreeWAS – [D48.5] Skin

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
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.898	0.102	0.000
rs12203592 lBF = `220.671` Chr`6` : `396,321`	0.893	0.107	0.000
rs9468831 lBF = `13.0168` Chr`6` : `30,749,844`	0.869	0.131	0.000
rs57142672 lBF = `2.05332` Chr`1` : `17,744,536`	0.864	0.136	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.859	0.141	0.000
rs73425733 lBF = `14.1421` Chr`6` : `30,748,297`	0.853	0.147	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.850	0.150	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.848	0.152	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.845	0.155	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.836	0.164	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.834	0.166	0.000
rs75754936 lBF = `9.36846` Chr`6` : `122,770,192`	0.822	0.178	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.819	0.181	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.818	0.182	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.817	0.183	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.804	0.196	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.802	0.198	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.798	0.202	0.000
rs9461908 lBF = `53.4251` Chr`6` : `33,736,082`	0.782	0.218	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.774	0.225	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.769	0.230	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.769	0.231	0.000
rs79500346 lBF = `5.77595` Chr`4` : `59,614,702`	0.762	0.238	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.761	0.239	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.760	0.240	0.000
rs1408272 lBF = `43.5505` Chr`6` : `25,842,951`	0.758	0.241	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.756	0.244	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.754	0.246	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.750	0.250	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.742	0.258	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.738	0.262	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.735	0.265	0.000
rs7279238 lBF = `6.50081` Chr`21` : `43,092,206`	0.734	0.266	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.733	0.267	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.731	0.269	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.729	0.270	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.727	0.273	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.726	0.273	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.726	0.274	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.726	0.274	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.725	0.275	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.722	0.278	0.000
rs6918090 lBF = `57.3438` Chr`6` : `33,854,733`	0.720	0.280	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.717	0.283	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.717	0.283	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.714	0.286	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.714	0.286	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.712	0.288	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.712	0.288	0.000
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.712	0.288	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.708	0.292	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.708	0.292	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.705	0.295	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.705	0.295	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.704	0.296	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.704	0.296	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.704	0.296	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.703	0.297	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.702	0.297	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.702	0.297	0.000
rs45627239 lBF = `18.4326` Chr`6` : `30,921,141`	0.702	0.298	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.702	0.298	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.702	0.298	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.700	0.300	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.700	0.300	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.700	0.300	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.700	0.300	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.699	0.301	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.698	0.302	0.000
rs79758531 lBF = `13.2883` Chr`6` : `30,736,010`	0.698	0.302	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.698	0.302	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.697	0.303	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.697	0.303	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.696	0.304	0.000
rs113512166 lBF = `13.8719` Chr`6` : `30,733,489`	0.693	0.307	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.693	0.307	0.000
rs11963870 lBF = `14.0528` Chr`6` : `30,735,229`	0.692	0.308	0.000
rs62389424 lBF = `141.95` Chr`6` : `422,631`	0.691	0.309	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.691	0.309	0.000
rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.690	0.310	0.000
rs11964556 lBF = `14.2163` Chr`6` : `30,736,360`	0.689	0.311	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.689	0.311	0.000
rs144324177 lBF = `2.68242` Chr`1` : `194,759,058`	0.686	0.314	0.000
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.686	0.314	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.683	0.316	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.683	0.317	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.682	0.318	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.682	0.318	0.000
rs114927259 lBF = `6.36727` Chr`2` : `108,678,685`	0.680	0.320	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.678	0.322	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.676	0.324	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.671	0.329	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.671	0.329	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.668	0.332	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.666	0.334	0.000
rs62389423 lBF = `145.226` Chr`6` : `421,281`	0.665	0.335	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.664	0.336	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.664	0.336	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.664	0.336	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.662	0.338	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.662	0.338	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.660	0.340	0.000
rs538867 lBF = `1.14952` Chr`3` : `39,513,278`	0.659	0.341	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.658	0.342	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.658	0.342	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.658	0.342	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.657	0.343	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.655	0.345	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.655	0.345	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.653	0.347	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.653	0.347	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.653	0.347	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.653	0.347	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.652	0.348	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.652	0.348	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.651	0.349	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.651	0.349	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.651	0.349	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.650	0.350	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.649	0.351	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.648	0.352	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.645	0.355	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.645	0.355	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.645	0.355	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.643	0.357	0.000
rs11588060 lBF = `11.4172` Chr`1` : `24,583,035`	0.642	0.358	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.642	0.358	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.641	0.359	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.641	0.359	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.640	0.359	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.640	0.360	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.640	0.360	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.639	0.361	0.000
rs80215559 lBF = `40.8472` Chr`6` : `25,918,225`	0.639	0.361	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.639	0.361	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.639	0.361	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.639	0.361	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.639	0.361	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.638	0.362	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.638	0.362	0.000
rs57514780 lBF = `1.0288` Chr`12` : `69,397,789`	0.636	0.364	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.635	0.365	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.635	0.365	0.000
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.635	0.365	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.635	0.365	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.635	0.365	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.635	0.365	0.000
rs2857151 lBF = `32.4317` Chr`6` : `32,763,514`	0.634	0.366	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.633	0.367	0.000
rs267738 lBF = `2.49649` Chr`1` : `150,940,625`	0.632	0.368	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.631	0.369	0.000
rs1887284 lBF = `14.8007` Chr`1` : `1,487,059`	0.631	0.369	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.630	0.370	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.630	0.370	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.629	0.371	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.628	0.372	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.628	0.372	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.627	0.373	0.000
rs2736100 lBF = `53.0413` Chr`5` : `1,286,516`	0.000	0.374	0.626
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.626	0.374	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.626	0.374	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.625	0.375	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.625	0.375	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.625	0.375	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.625	0.375	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.624	0.376	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.623	0.377	0.000
rs16893526 lBF = `1.44761` Chr`6` : `82,515,315`	0.623	0.377	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.622	0.378	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.622	0.378	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.622	0.378	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.621	0.379	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.621	0.379	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.621	0.379	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.621	0.379	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.620	0.380	0.000
rs4406273 lBF = `144.316` Chr`6` : `31,266,090`	0.619	0.381	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.619	0.381	0.000
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.619	0.381	0.000
rs116989098 lBF = `17.9744` Chr`6` : `161,777,500`	0.618	0.382	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.618	0.382	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.618	0.382	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.618	0.382	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.617	0.383	0.000
rs113454287 lBF = `16.3293` Chr`6` : `30,999,657`	0.617	0.383	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.617	0.383	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.617	0.383	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.615	0.385	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.614	0.386	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.614	0.386	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.614	0.386	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.614	0.386	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.614	0.386	0.000
rs2517509 lBF = `22.4792` Chr`6` : `31,030,224`	0.613	0.387	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.613	0.387	0.000
rs2621393 lBF = `50.1894` Chr`6` : `32,755,216`	0.000	0.387	0.613
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.613	0.387	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.612	0.388	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.611	0.389	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.611	0.389	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.611	0.389	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.611	0.389	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.611	0.389	0.000
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rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.554	0.446	0.000
rs75352895 lBF = `11.4763` Chr`2` : `126,970,097`	0.554	0.446	0.000
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.554	0.446	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.553	0.446	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.553	0.447	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.553	0.447	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.553	0.447	0.000
rs183120114 lBF = `17.345` Chr`6` : `31,352,678`	0.553	0.447	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.553	0.447	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.553	0.447	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.553	0.447	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.552	0.447	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.552	0.447	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.552	0.448	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.552	0.448	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.552	0.448	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.551	0.448	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.551	0.448	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.551	0.449	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.551	0.449	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.551	0.449	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.551	0.449	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.550	0.449	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.550	0.449	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.550	0.450	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.550	0.450	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.550	0.450	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.550	0.450	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.550	0.450	0.000
rs9266340 lBF = `17.9247` Chr`6` : `31,331,306`	0.550	0.450	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.549	0.451	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.549	0.451	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.549	0.451	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.549	0.451	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.549	0.451	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.549	0.451	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.549	0.451	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.549	0.451	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.548	0.452	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.548	0.452	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.547	0.452	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.547	0.452	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.547	0.452	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.547	0.453	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.547	0.453	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.547	0.453	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.547	0.453	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.547	0.453	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.547	0.453	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.546	0.453	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.546	0.453	0.000
rs12123821 lBF = `14.5195` Chr`1` : `152,179,152`	0.546	0.454	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.546	0.454	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.546	0.454	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.545	0.454	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.545	0.455	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.545	0.455	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.545	0.455	0.000
rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.544	0.456	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.544	0.456	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.544	0.456	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.544	0.456	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.544	0.456	0.000
rs6746528 lBF = `17.4769` Chr`2` : `241,659,675`	0.543	0.456	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.543	0.457	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.543	0.457	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.543	0.457	0.000
rs4635969 lBF = `16.8431` Chr`5` : `1,308,552`	0.000	0.457	0.543
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.543	0.457	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.543	0.457	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.543	0.457	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.542	0.458	0.000
rs2857198 lBF = `50.434` Chr`6` : `32,746,920`	0.000	0.458	0.542
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.541	0.459	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.541	0.459	0.000
rs9266417 lBF = `17.1829` Chr`6` : `31,336,994`	0.541	0.459	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.541	0.459	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.541	0.459	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.541	0.459	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.541	0.459	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.540	0.459	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.540	0.459	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.540	0.460	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.540	0.460	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.540	0.460	0.000
rs74853015 lBF = `6.29916` Chr`2` : `36,865,755`	0.540	0.460	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.540	0.460	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.540	0.460	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.540	0.460	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.540	0.460	0.000
rs198845 lBF = `124.1` Chr`6` : `26,107,790`	0.539	0.461	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.539	0.461	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.539	0.461	0.000
rs56272623 lBF = `7.6017` Chr`1` : `28,840,940`	0.538	0.462	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.538	0.462	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 X0289

log Bayes Factor = 60.4564

contains 1 variants

0.1445

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1038

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9962

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9889

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9883

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9871

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9864

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9831

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9784

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9679

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9621

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9588

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9582

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9533

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9533

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9519

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9518

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9444

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9355

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9323

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9318

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9316

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9312

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9256

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9182

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9171

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9158

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9121

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9051

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9045

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9032

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8998

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8955

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.8928

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8896

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8824

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8824

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8809

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8768

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8733

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8655

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8646

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8582

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8516

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8413

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8412

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8379

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8365

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8260

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8252

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8229

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8221

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8212

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8179

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8147

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8140

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8050

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8005

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7992

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7958

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7841

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7818

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7728

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7718

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7660

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7653

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7648

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7594

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7588

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7564

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7461

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7446

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7446

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7428

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7412

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7392

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7346

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7342

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7319

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7240

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.7138

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7117

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6992

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6928

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6858

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6822

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6801

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6782

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6695

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6694

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6688

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6624

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6525

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6501

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6500

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6410

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6402

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6387

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6384

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6332

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6303

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6265

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6125

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6087

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6071

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6061

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6019

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5996

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5981

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5971

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5935

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5805

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5780

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5618

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5565

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5564

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5411

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5405

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.5313

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5279

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5270

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5267

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5179

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.5008

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4749

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4719

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4620

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4596

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4415

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4373

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4365

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4314

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4143

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4141

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4024

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3959

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3766

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3617

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3551

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3465

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3463

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3447

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3425

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3418

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3363

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.3222

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3186

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3167

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3093

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3085

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3021

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2984

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2902

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2870

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2757

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2755

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2744

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2633

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2610

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2588

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2401

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2308

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2271

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2260

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2132

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2074

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2067

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2059

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1977

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1941

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1873

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1850

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1818

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1713

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1702

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1557

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1549

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1514

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1470

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1409

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1382

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1304

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1172

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1084

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1084

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0867

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0850

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0824

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0760

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0600

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0574

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

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

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

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)