TreeWAS – [Z48] Other surgical follow-up care

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

Z48

Other surgical follow-up care

Parent term	Z40-Z54 Persons encountering health services for specific procedures and health care
Nested terms	Z48.0 Attention to surgical dressings and sutures Z48.8 Other specified surgical follow-up care Z48.9 Surgical follow-up care, unspecified

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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
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.901	0.099	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.739	0.261	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.722	0.278	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.706	0.294	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.640	0.360	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.632	0.368	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.625	0.375	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.586	0.414	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.565	0.434	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.562	0.438	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.536	0.464	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.535	0.465	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.532	0.468	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.485	0.515	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.455	0.545	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.453	0.546	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.448	0.552	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.434	0.566	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.420	0.579	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.411	0.589	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.386	0.614	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.380	0.619	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.362	0.638	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.327	0.673	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.312	0.688	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.311	0.689	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.300	0.699	0.001
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.290	0.710	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.286	0.714	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.277	0.723	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.275	0.725	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.272	0.728	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.252	0.748	0.001
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.224	0.776	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.199	0.801	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.173	0.826	0.001
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.168	0.832	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.157	0.843	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.087	0.913	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.080	0.920	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.072	0.928	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.069	0.930	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.068	0.932	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.068	0.932	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.057	0.943	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.054	0.945	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.046	0.953	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.042	0.958	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.039	0.961	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.038	0.962	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.034	0.966	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.027	0.972	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.019	0.981	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.016	0.984	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.014	0.986	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.014	0.986	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.011	0.989	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.011	0.989	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.010	0.990	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.010	0.990	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.009	0.991	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.007	0.993	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.006	0.994	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.006	0.994	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	0.994	0.006
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.006	0.994	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.005	0.995	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.005	0.995	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.005	0.995	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.005	0.995	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.005	0.995	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.004	0.996	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.003	0.997	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.003	0.997	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.003	0.997	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.003	0.997	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	0.997	0.003
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.002	0.998	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	0.999	0.001
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.001	0.999	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.001	0.999	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.001	0.999	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.001	0.999	0.000
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
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
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.001	0.999	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.001	0.999	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.001	0.999	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.001	0.999	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.001
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.001
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	0.999	0.001
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	0.999	0.001
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.001	0.999	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.001	0.999	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.001	0.999	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.000	0.999	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	0.999	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.001	0.999	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	0.999	0.001
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	0.999	0.001
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.001	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.001	0.999	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.001	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	0.999	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.001	0.999	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.001	0.999	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	0.999	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.001	0.999	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	0.999	0.001
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	1.000	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	1.000	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	1.000	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	1.000	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	1.000	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.000	1.000	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.000	1.000	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.000	1.000	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.000	1.000	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	1.000	0.000
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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
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	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
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	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
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	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
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	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
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	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
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	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
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.8275

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7462

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9978

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9977

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9955

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9921

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9907

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9854

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9758

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9699

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9535

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9530

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9358

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9327

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9281

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9123

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9008

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8972

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8951

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8625

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8567

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8418

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8412

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8165

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8045

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8042

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7977

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7933

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7733

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7659

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7413

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6935

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6930

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6701

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6462

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6351

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6325

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6325

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6265

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6233

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6166

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6165

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6102

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5957

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5583

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5561

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5477

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5464

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5120

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5032

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4973

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4911

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4583

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4582

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4570

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4297

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4070

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4036

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3912

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3754

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3733

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3693

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3572

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3443

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3420

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3301

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3157

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3094

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3038

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3003

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2746

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2661

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2565

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2544

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2435

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2395

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2273

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2271

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2260

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2206

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2113

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2052

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1978

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1853

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1822

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1803

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1783

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1780

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1768

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1763

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1752

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1742

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1738

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1699

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1582

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1564

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1562

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1533

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1516

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1504

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1478

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1415

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1350

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1318

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1249

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1246

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1225

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1180

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1177

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1115

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1083

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1071

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0987

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0954

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0928

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0905

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0903

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0850

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0849

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0835

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0827

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0824

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0821

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0816

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0816

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0803

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0739

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0709

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0704

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0698

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0678

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0675

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0651

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0649

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0622

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0606

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0603

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0603

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0602

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0585

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0579

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0578

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0575

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0574

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0565

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0553

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0546

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0543

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0539

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0535

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0528

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0527

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0517

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)

Hospitalization Episode Statistics (`HES`)