TreeWAS – [L85.0] Acquired ichthyosis

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
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.717	0.283	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.717	0.283	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.716	0.283	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.716	0.283	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.716	0.284	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.716	0.284	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.716	0.284	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.716	0.284	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.715	0.284	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.715	0.285	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.714	0.286	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	0.286	0.714
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.714	0.286	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.713	0.287	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.713	0.287	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.712	0.288	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.708	0.291	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.707	0.293	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.703	0.297	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.703	0.297	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.702	0.298	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.701	0.299	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.699	0.301	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.697	0.303	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.691	0.309	0.000
rs2858870 lBF = `95.1726` Chr`6` : `32,572,251`	0.000	0.310	0.690
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.688	0.312	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.685	0.315	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.682	0.318	0.000
rs12203592 lBF = `220.671` Chr`6` : `396,321`	0.682	0.318	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.678	0.322	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.678	0.322	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.676	0.324	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.672	0.328	0.000
rs2857208 lBF = `23.1071` Chr`6` : `32,743,103`	0.000	0.330	0.670
rs28383438 lBF = `87.6743` Chr`6` : `32,609,038`	0.000	0.334	0.666
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.664	0.336	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.660	0.340	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.660	0.340	0.000
rs114097330 lBF = `13.9687` Chr`3` : `34,717,222`	0.658	0.342	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.656	0.344	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.656	0.344	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.652	0.348	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.649	0.351	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.645	0.354	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.644	0.355	0.000
rs28383172 lBF = `102.266` Chr`6` : `32,565,979`	0.000	0.355	0.644
rs28383249 lBF = `100.141` Chr`6` : `32,585,500`	0.000	0.356	0.644
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.643	0.357	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.641	0.359	0.000
rs2647073 lBF = `96.5928` Chr`6` : `32,574,014`	0.000	0.359	0.641
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.637	0.363	0.000
rs2395165 lBF = `231.325` Chr`6` : `32,388,144`	0.000	0.366	0.634
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.634	0.366	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.634	0.366	0.000
rs9275766 lBF = `17.6045` Chr`6` : `32,689,362`	0.000	0.368	0.631
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.631	0.369	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.631	0.369	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.630	0.370	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.628	0.372	0.000
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.628	0.372	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.626	0.374	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.624	0.376	0.000
rs28383346 lBF = `95.8386` Chr`6` : `32,605,326`	0.000	0.381	0.618
rs28366191 lBF = `37.4806` Chr`6` : `32,364,190`	0.000	0.384	0.616
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.616	0.384	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.615	0.385	0.000
rs16822618 lBF = `42.8884` Chr`6` : `32,410,087`	0.000	0.386	0.614
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.613	0.386	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.613	0.387	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.613	0.387	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.611	0.388	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.610	0.390	0.000
rs6911777 lBF = `42.3826` Chr`6` : `32,409,996`	0.000	0.390	0.610
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.609	0.391	0.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.393	0.606
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.604	0.396	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.603	0.397	0.000
rs28383271 lBF = `95.9012` Chr`6` : `32,586,134`	0.000	0.399	0.601
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.600	0.400	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.600	0.400	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.599	0.401	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.593	0.407	0.000
rs28366175 lBF = `37.4163` Chr`6` : `32,269,578`	0.000	0.407	0.593
rs28383254 lBF = `97.2454` Chr`6` : `32,585,638`	0.000	0.408	0.592
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.591	0.408	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.588	0.411	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.588	0.412	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.587	0.413	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.586	0.414	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.585	0.415	0.000
rs12123821 lBF = `14.5195` Chr`1` : `152,179,152`	0.585	0.415	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.585	0.415	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.585	0.415	0.000
rs115098315 lBF = `20.6403` Chr`6` : `32,100,225`	0.583	0.417	0.000
rs374205 lBF = `41.9921` Chr`6` : `32,196,873`	0.000	0.417	0.583
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.582	0.418	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.581	0.419	0.000
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.580	0.420	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.580	0.420	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.580	0.420	0.000
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.580	0.420	0.000
rs6919798 lBF = `17.4513` Chr`6` : `32,732,890`	0.000	0.421	0.579
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.579	0.421	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.577	0.423	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.577	0.423	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.576	0.423	0.000
rs35407 lBF = `7.00446` Chr`5` : `33,946,571`	0.576	0.424	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.574	0.425	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.574	0.426	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.574	0.426	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.571	0.428	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.571	0.429	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.570	0.430	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.570	0.430	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.569	0.431	0.000
rs28371355 lBF = `20.3786` Chr`6` : `32,710,557`	0.000	0.431	0.569
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.569	0.431	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.568	0.431	0.000
rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.568	0.431	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.568	0.432	0.000
rs9276448 lBF = `17.4973` Chr`6` : `32,715,629`	0.000	0.433	0.567
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.566	0.434	0.000
rs35391 lBF = `10.1345` Chr`5` : `33,955,673`	0.566	0.434	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.566	0.434	0.000
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.565	0.435	0.000
rs35390 lBF = `9.53908` Chr`5` : `33,955,326`	0.565	0.435	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.565	0.435	0.000
Affx-28497534 lBF = `50.5526` Chr`6` : `32,629,905`	0.000	0.436	0.564
rs35412 lBF = `14.5662` Chr`5` : `33,967,145`	0.564	0.436	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.564	0.436	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.563	0.437	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.562	0.437	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.562	0.438	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.562	0.438	0.000
rs56536369 lBF = `52.4476` Chr`6` : `32,726,788`	0.000	0.439	0.561
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.560	0.439	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.560	0.440	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.559	0.441	0.000
rs2858308 lBF = `53.453` Chr`6` : `32,670,000`	0.000	0.441	0.559
rs77737545 lBF = `16.821` Chr`1` : `241,976,607`	0.558	0.441	0.000
rs4959027 lBF = `230.102` Chr`6` : `32,383,050`	0.000	0.442	0.558
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.558	0.442	0.000
rs3135377 lBF = `230.633` Chr`6` : `32,385,399`	0.000	0.442	0.557
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.557	0.443	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.557	0.443	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.557	0.443	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.556	0.444	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.555	0.445	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.555	0.445	0.000
rs28777 lBF = `6.09684` Chr`5` : `33,958,959`	0.555	0.445	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.555	0.445	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.555	0.445	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.555	0.445	0.000
rs2647015 lBF = `51.8138` Chr`6` : `32,664,093`	0.000	0.445	0.555
rs1842399 lBF = `45.8697` Chr`6` : `32,753,313`	0.000	0.446	0.554
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.553	0.446	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.552	0.448	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.552	0.448	0.000
rs79802820 lBF = `18.8126` Chr`1` : `216,046,129`	0.552	0.448	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.551	0.448	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.551	0.449	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.551	0.449	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.550	0.450	0.000
rs114027487 lBF = `12.8754` Chr`6` : `31,236,571`	0.000	0.450	0.550
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.549	0.450	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.549	0.451	0.000
rs76444744 lBF = `4.62118` Chr`2` : `101,705,345`	0.549	0.451	0.000
rs9276436 lBF = `17.7009` Chr`6` : `32,714,083`	0.000	0.451	0.549
rs76150537 lBF = `15.7037` Chr`2` : `67,063,487`	0.548	0.452	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.547	0.453	0.000
rs79987207 lBF = `5.41608` Chr`9` : `100,963,977`	0.547	0.453	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.546	0.454	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.545	0.455	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.545	0.455	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.545	0.455	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.545	0.455	0.000
rs2856705 lBF = `51.1465` Chr`6` : `32,670,956`	0.000	0.456	0.544
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.544	0.456	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.544	0.456	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.543	0.457	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.543	0.457	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.542	0.458	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.542	0.458	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.542	0.458	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.542	0.458	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.541	0.458	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.541	0.459	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.540	0.459	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.540	0.459	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.540	0.460	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.540	0.460	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.540	0.460	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.539	0.460	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.539	0.461	0.000
rs2647014 lBF = `52.8412` Chr`6` : `32,664,279`	0.000	0.461	0.538
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.538	0.462	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.537	0.462	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.537	0.463	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.537	0.463	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.537	0.463	0.000
rs4129843 lBF = `8.18025` Chr`1` : `215,987,222`	0.535	0.465	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.535	0.465	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.534	0.466	0.000
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rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.489	0.511	0.000
rs61820511 lBF = `8.52267` Chr`1` : `191,420,181`	0.489	0.511	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.489	0.511	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.489	0.511	0.000
rs6656088 lBF = `5.87242` Chr`1` : `225,909,815`	0.488	0.511	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.488	0.511	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.488	0.512	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.488	0.512	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.488	0.512	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.487	0.512	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.487	0.513	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.486	0.513	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.486	0.514	0.000
rs17198455 lBF = `14.304` Chr`6` : `31,229,896`	0.000	0.514	0.486
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.486	0.514	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.485	0.514	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.485	0.515	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.485	0.515	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.484	0.516	0.000
rs17167021 lBF = `4.28036` Chr`5` : `98,880,299`	0.484	0.516	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.484	0.516	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.483	0.516	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.483	0.516	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.483	0.517	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.483	0.517	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.483	0.517	0.000
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.482	0.517	0.000
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.482	0.518	0.000
rs2517509 lBF = `22.4792` Chr`6` : `31,030,224`	0.482	0.518	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.482	0.518	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.482	0.518	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.482	0.518	0.000
rs182679717 lBF = `13.1183` Chr`6` : `41,975,693`	0.482	0.518	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.482	0.518	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.482	0.518	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.481	0.519	0.000
rs114946066 lBF = `5.04818` Chr`3` : `185,653,097`	0.481	0.519	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.481	0.519	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.481	0.519	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.480	0.519	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.480	0.519	0.000
rs115335082 lBF = `19.1593` Chr`6` : `30,966,969`	0.480	0.520	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.480	0.520	0.000
rs146534110 lBF = `28.6815` Chr`6` : `160,578,069`	0.480	0.520	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.480	0.520	0.000
rs115890601 lBF = `18.5648` Chr`6` : `30,980,494`	0.480	0.520	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.479	0.520	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.479	0.520	0.000
rs114914856 lBF = `18.0454` Chr`6` : `30,973,243`	0.479	0.521	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.479	0.521	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.479	0.521	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.479	0.521	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.479	0.521	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.478	0.521	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.478	0.521	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.478	0.522	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.478	0.522	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.478	0.522	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.478	0.522	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.478	0.522	0.000
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.478	0.522	0.000
rs147922770 lBF = `13.4146` Chr`3` : `185,588,941`	0.478	0.522	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.478	0.522	0.000
rs62389424 lBF = `141.95` Chr`6` : `422,631`	0.478	0.522	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.477	0.522	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.477	0.523	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.477	0.523	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.477	0.523	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.477	0.523	0.000
rs78995442 lBF = `3.3865` Chr`6` : `159,331,260`	0.476	0.524	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.476	0.524	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.476	0.524	0.000
rs62106258 lBF = `13.2334` Chr`2` : `417,167`	0.000	0.524	0.476
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.476	0.524	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.475	0.524	0.000
rs9461741 lBF = `0.79149` Chr`6` : `32,370,587`	0.475	0.525	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.475	0.525	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.474	0.526	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.474	0.526	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.474	0.526	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.474	0.526	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.474	0.526	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.474	0.526	0.000
rs3129908 lBF = `198.273` Chr`6` : `32,325,707`	0.000	0.527	0.473
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.473	0.527	0.000
rs28366266 lBF = `92.0158` Chr`6` : `32,559,753`	0.000	0.527	0.473
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.473	0.527	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.473	0.527	0.000
rs56286522 lBF = `14.5169` Chr`1` : `99,517,636`	0.473	0.527	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.472	0.527	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.472	0.528	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.472	0.528	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.472	0.528	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.471	0.528	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

0.3664

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1031

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7166

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7137

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7096

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7063

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7049

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7023

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6971

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6916

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6912

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.6820

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6771

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6763

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6671

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6571

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6563

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6529

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6528

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6502

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6419

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6367

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6342

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6300

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6236

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6216

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6138

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6037

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5990

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5966

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5948

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5760

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5716

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5471

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5424

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5376

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5372

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5286

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5206

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5179

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5134

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5123

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5122

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5043

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4970

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4920

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4807

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4743

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4726

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4700

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4694

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4682

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4615

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4531

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4525

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4484

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4463

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4440

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4353

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4220

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4200

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4192

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4161

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4118

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4036

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4007

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3955

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3819

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3803

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3666

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3527

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3379

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3358

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3352

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3294

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3247

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3078

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2981

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2948

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2943

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2850

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2833

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2674

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2673

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2633

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2623

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2617

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2589

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2571

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2511

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2421

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2403

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2365

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2361

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2339

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2298

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2293

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2166

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2166

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2149

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2143

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2098

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2082

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2073

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2036

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2028

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1980

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1940

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1926

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1914

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1882

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1881

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1823

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1818

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1763

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1746

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1726

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1711

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1701

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1700

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1668

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1652

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1614

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1606

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1592

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1525

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1488

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1460

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1432

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1389

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1378

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1370

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1365

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1356

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1354

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1339

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1303

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1282

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1274

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1265

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1227

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1204

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1193

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1184

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1182

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1093

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0997

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0995

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0976

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0974

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0887

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0887

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0850

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0843

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0821

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0794

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0623

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0596

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0587

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0566

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0562

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0543

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0529

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0519

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`)