TreeWAS – [Z46] Fitting and adjustment of other devices

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
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.837	0.163	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.818	0.182	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.801	0.199	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.777	0.223	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.769	0.231	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.748	0.252	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.727	0.273	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.724	0.276	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.701	0.299	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.692	0.308	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.686	0.314	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.652	0.348	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.587	0.413	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.543	0.457	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.507	0.493	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.478	0.522	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.463	0.537	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.458	0.542	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.444	0.555	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.433	0.567	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.420	0.580	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.410	0.590	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.403	0.597	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.382	0.618	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.380	0.620	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.369	0.631	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.346	0.653	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.274	0.726	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.259	0.741	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.227	0.773	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.223	0.776	0.001
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.223	0.777	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.198	0.802	0.001
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.191	0.809	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.188	0.812	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.163	0.837	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.138	0.862	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.133	0.867	0.001
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.133	0.867	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.085	0.915	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.076	0.924	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.075	0.925	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.070	0.930	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.061	0.939	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.059	0.941	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.045	0.955	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.040	0.960	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`	0.032	0.968	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.032	0.968	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.030	0.970	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.027	0.973	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.016	0.984	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.014	0.986	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.012	0.988	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.012	0.988	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.011	0.989	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.010	0.990	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.008	0.992	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.007	0.993	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.007	0.993	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.006	0.993	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.005	0.995	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.005	0.995	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.005	0.995	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.005	0.995	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.005	0.995	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.005	0.995	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.004	0.996	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.003	0.997	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
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.002	0.998	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.002	0.998	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.001	0.999	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.001	0.999	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.001	0.999	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.001	0.999	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	0.999	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	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
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.001	0.999	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.000	0.999	0.001
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.001	0.999	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.001	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.001	0.999	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.001	0.999	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.001
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	0.999	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.001	0.999	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.000	0.999	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	0.999	0.001
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.001
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.999	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	0.999	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	1.000	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.000	1.000	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	1.000	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.000	1.000	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	1.000	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	1.000	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	1.000	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.000	1.000	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.000	1.000	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	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
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	1.000	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	1.000	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	1.000	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	1.000	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.000	1.000	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.000	1.000	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	1.000	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	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
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.000	1.000	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	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
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	1.000	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	1.000	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	1.000	0.000
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rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	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
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
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	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
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	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
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	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
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	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
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	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
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	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
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
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	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
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	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
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
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	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

0.9491

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.9292

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.1438

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.0554

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

1.0000

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9998

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9994

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9993

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9989

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9986

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9984

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9982

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9980

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9976

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9974

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9971

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9957

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9955

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9946

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9943

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9941

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9927

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9919

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9914

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9906

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9896

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9895

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9889

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9887

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9871

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9868

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9856

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9856

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9850

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9848

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9848

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9840

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9826

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9821

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9803

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9790

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9786

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9786

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9763

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9728

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9718

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9707

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9696

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9665

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9636

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9599

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9574

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9573

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9569

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9544

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9530

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9523

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9508

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9504

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9478

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9447

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9435

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9328

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9302

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9294

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9293

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9287

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9257

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9211

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9198

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9075

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9024

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9014

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8999

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8901

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8894

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8824

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8817

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8790

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8772

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8768

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8698

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8697

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8610

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8566

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8505

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8374

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8369

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8368

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8230

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8214

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8101

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8042

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8014

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7906

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7866

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7823

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7792

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7744

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7633

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7589

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7579

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7563

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7303

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7146

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7022

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7012

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6974

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6916

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6907

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6860

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6827

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6766

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6672

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6200

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6071

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6033

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5914

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5758

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5640

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5544

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5294

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5235

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5216

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4903

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4479

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4467

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4460

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4339

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4239

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4196

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4154

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4059

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4040

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3990

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3944

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3614

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3606

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3453

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3385

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3108

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2695

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2632

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2623

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2200

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2183

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2081

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1964

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1850

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1775

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1576

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1504

Cluster X0311

log Bayes Factor = 92.5358

contains 5 variants

0.1434

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1120

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1064

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1039

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1029

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1016

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0991

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0882

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0831

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0748

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0668

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`)