TreeWAS – [Z83.6] Family history of diseases of the respiratory system

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
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.597	0.403	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.588	0.412	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.583	0.417	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.514	0.486	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.509	0.491	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.507	0.493	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.505	0.495	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.487	0.513	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.487	0.513	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.485	0.515	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.469	0.531	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.425	0.575	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.425	0.575	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.421	0.579	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.413	0.587	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.403	0.597	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.392	0.608	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.377	0.623	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.352	0.648	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.342	0.658	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.312	0.688	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.304	0.695	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.225	0.774	0.001
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.201	0.798	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.144	0.856	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.052	0.948	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.044	0.956	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.037	0.962	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.033	0.967	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.032	0.968	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.027	0.973	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.022	0.978	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.020	0.979	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.013	0.987	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.011	0.988	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.009	0.991	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.008	0.991	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.008	0.992	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.007	0.993	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.007	0.993	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.006	0.994	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.005	0.995	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.004	0.996	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.004	0.996	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.003	0.997	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	0.997	0.003
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.003	0.997	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.002	0.997	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.003	0.997	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.003	0.997	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	0.998	0.002
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.002	0.998	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.002	0.998	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.002	0.998	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.002	0.998	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	0.998	0.002
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.002	0.998	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.002	0.998	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.998	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.998	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.001	0.999	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.001	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.001	0.999	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.001	0.999	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	0.999	0.001
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.001
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	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
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
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	0.999	0.001
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.001
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.001	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	0.999	0.001
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.001	0.999	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.001	0.999	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.001
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.001	0.999	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	0.999	0.001
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.001	0.999	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.001	0.999	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	0.999	0.001
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.001	0.999	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	0.999	0.001
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.000	0.999	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.001	0.999	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	0.999	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	0.999	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	0.999	0.001
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	0.999	0.001
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.999	0.001
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.001	0.999	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.001	0.999	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.001	0.999	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	0.999	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.001	0.999	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.001	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	0.999	0.001
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.001	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	0.999	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	0.999	0.001
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	0.999	0.001
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.000	0.999	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.001	0.999	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	0.999	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	0.999	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	0.999	0.001
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.000	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	0.999	0.001
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	0.999	0.001
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.000	0.999	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.000	0.999	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	0.999	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	0.999	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.000	0.999	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.000	0.999	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	0.999	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.000	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	0.999	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.000	1.000	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	1.000	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	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
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.000	1.000	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	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
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	1.000	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	1.000	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	1.000	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.000	1.000	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.000	1.000	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	1.000	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	1.000	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	1.000	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	1.000	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.000	1.000	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	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
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rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	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
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.000	1.000	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.000	1.000	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	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
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	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
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	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
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	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
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
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	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
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	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
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	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
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.2089

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1792

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7852

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7570

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7169

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7168

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7148

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7054

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6949

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6894

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6892

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6837

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6828

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6822

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6798

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6766

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6707

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6618

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6613

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6604

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6540

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6483

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6381

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6376

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6372

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6148

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6146

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6097

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6051

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6048

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5976

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5943

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5721

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5681

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5597

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5545

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5380

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5273

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5261

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5251

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5230

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5143

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5141

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5081

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4973

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4965

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4950

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4918

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4900

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4833

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4792

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4758

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4642

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4639

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4623

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4565

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4498

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4488

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4459

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4433

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4018

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3839

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3696

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3672

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3640

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3584

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3523

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3464

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3388

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3384

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3377

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3341

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3339

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3292

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3275

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3221

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3203

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3135

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3092

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3091

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3078

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3061

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2956

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2933

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2922

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2900

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2887

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2869

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2825

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2715

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2629

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2437

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2417

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2289

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2277

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2238

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2227

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2194

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2173

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2020

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1944

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1927

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1888

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1740

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1692

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1676

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1661

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1647

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1580

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1478

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1428

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1422

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1377

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1337

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1272

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1154

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1149

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1070

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1063

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0999

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0988

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0980

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0951

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0941

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0922

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0902

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0898

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0794

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0784

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0734

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0686

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0680

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0642

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0613

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0591

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0562

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0559

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`)