TreeWAS – [T39.1] 4-Aminophenol derivatives

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
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.998	0.002	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.990	0.010	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.990	0.010	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.986	0.014	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.984	0.016	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.979	0.021	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.976	0.024	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.949	0.051	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.927	0.073	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.919	0.081	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.899	0.101	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.887	0.113	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.881	0.119	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.861	0.139	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.827	0.173	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.827	0.173	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.815	0.185	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.789	0.211	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.779	0.221	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.743	0.257	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.739	0.261	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.728	0.272	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.727	0.273	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.679	0.321	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.667	0.333	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.644	0.356	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.628	0.372	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.623	0.377	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.621	0.379	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.606	0.394	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.604	0.396	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.596	0.404	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.595	0.405	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.587	0.413	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.584	0.416	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.550	0.450	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.522	0.478	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.505	0.495	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.480	0.520	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.466	0.534	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.466	0.534	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.456	0.544	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.435	0.565	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.424	0.576	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.424	0.576	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.406	0.594	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.406	0.594	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.392	0.608	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.381	0.619	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.378	0.622	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.377	0.623	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.377	0.623	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.376	0.624	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.366	0.634	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.364	0.636	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.343	0.657	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.343	0.657	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.331	0.669	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.328	0.671	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.327	0.673	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.318	0.682	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.316	0.684	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.316	0.684	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.296	0.704	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.272	0.728	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.270	0.730	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.246	0.754	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.237	0.763	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.209	0.791	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.173	0.827	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.152	0.848	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.148	0.852	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.138	0.862	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.131	0.868	0.001
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.127	0.872	0.001
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.121	0.879	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.115	0.885	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.113	0.886	0.001
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.892	0.108
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.105	0.895	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	0.905	0.095
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.093	0.906	0.001
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.086	0.914	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.084	0.915	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.084	0.916	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.081	0.918	0.001
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.079	0.921	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.076	0.923	0.001
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.069	0.931	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.061	0.938	0.001
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.058	0.941	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.048	0.951	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.039	0.961	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.034	0.966	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.033	0.967	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.033	0.967	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.028	0.972	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.028	0.972	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.024	0.976	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.023	0.976	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.018	0.980	0.001
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.018	0.982	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.017	0.983	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.017	0.983	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.014	0.986	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.012	0.988	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.011	0.989	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.010	0.990	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	0.990	0.010
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.009	0.991	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.008	0.992	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.007	0.993	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.007	0.993	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.005	0.995	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.005	0.995	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.003	0.996	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.003	0.996	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	0.997	0.003
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	0.997	0.003
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.003	0.997	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.002	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.002	0.998	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	0.998	0.002
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	0.998	0.002
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.002	0.998	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.002	0.998	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	0.998	0.002
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	0.999	0.001
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	0.999	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.001
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.999	0.001
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.001	0.999	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.001	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.001	0.999	0.000
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.001	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.999	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.001	0.999	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	0.999	0.001
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.000	0.999	0.001
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	0.999	0.001
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	0.999	0.001
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.001	0.999	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	0.999	0.001
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.001
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.001	0.999	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.001	0.999	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.999	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.001	0.999	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	0.999	0.001
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	0.999	0.001
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	0.999	0.001
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	0.999	0.001
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	0.999	0.001
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	0.999	0.001
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.001	0.999	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.001	0.999	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.999	0.001
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	0.999	0.001
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	0.999	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
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rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000

This table lists the top 491 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 X0286

log Bayes Factor = 30.6663

contains 3 variants

1.0000

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.9852

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5617

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5394

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

1.0000

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

1.0000

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

1.0000

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

1.0000

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

1.0000

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9999

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9998

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9998

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9996

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9995

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9992

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9987

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9969

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9969

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9956

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9942

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9941

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9939

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9939

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9933

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9908

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9904

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9854

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9853

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9820

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9808

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9790

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9690

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9677

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9618

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.9542

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9377

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9311

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9276

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9256

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9240

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.9230

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9209

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8989

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8939

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8882

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8842

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8796

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8639

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8632

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8490

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8471

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8457

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.8393

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.8349

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8028

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8023

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7973

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7969

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7815

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7792

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7746

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7743

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7722

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7682

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7427

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7425

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7149

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7129

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6955

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6650

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6448

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6165

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6062

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5776

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5330

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5324

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5068

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4849

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4783

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4674

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4401

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4397

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4285

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4169

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4163

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3888

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3843

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3830

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3606

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3535

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3433

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3326

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3266

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.2861

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2719

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2594

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2571

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2387

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2162

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2048

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1699

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1663

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1347

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.1344

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1307

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1191

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1142

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1021

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0978

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0958

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0909

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0885

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0844

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0822

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0773

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0708

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.0655

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0655

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0627

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`)