TreeWAS – [Z99] Dependence on enabling machines and devices, not elsewhere classified

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
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.927	0.073	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.886	0.114	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.862	0.138	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.843	0.157	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.814	0.186	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.799	0.201	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.795	0.205	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.790	0.210	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.788	0.212	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.743	0.257	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.709	0.291	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.701	0.299	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.670	0.330	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.658	0.342	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.631	0.369	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.630	0.369	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.623	0.377	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.614	0.386	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.595	0.405	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.572	0.428	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.543	0.457	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.530	0.470	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.421	0.579	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.315	0.685	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.271	0.729	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.069	0.931	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.061	0.939	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.054	0.946	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.041	0.959	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.030	0.970	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.030	0.970	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.028	0.972	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.027	0.973	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.026	0.974	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.020	0.980	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.019	0.981	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.017	0.983	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.016	0.983	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.010	0.989	0.001
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	0.990	0.010
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.008	0.992	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.007	0.993	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.006	0.994	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.006	0.994	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.006	0.994	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.006	0.994	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.005	0.995	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.004	0.996	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.004	0.996	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.004	0.996	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.004	0.996	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.004	0.996	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.003	0.997	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.003	0.997	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.003	0.997	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.997	0.003
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.003	0.997	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	0.997	0.003
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.003	0.997	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.003	0.997	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.997	0.003
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.998	0.002
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.998	0.002
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.002	0.998	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.002	0.998	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.002	0.998	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	0.998	0.002
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.002	0.998	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.998	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.002	0.998	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.001	0.999	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.001	0.999	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.001	0.999	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.001	0.999	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.001	0.999	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.001	0.999	0.000
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
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
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.001	0.999	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	0.999	0.001
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	0.999	0.001
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.001	0.999	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.000	0.999	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.001	0.999	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	0.999	0.001
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.001	0.999	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.001	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.001	0.999	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	0.999	0.001
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	0.999	0.001
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	0.999	0.001
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.001	0.999	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.001	0.999	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.001	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	0.999	0.001
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.000	1.000	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.000	1.000	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.000	1.000	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.000	1.000	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	1.000	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.000	1.000	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	1.000	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.000	1.000	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.000	1.000	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	1.000	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	1.000	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	1.000	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	1.000	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.000	1.000	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.000	1.000	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	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
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.000	1.000	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.000	1.000	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	1.000	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	1.000	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	1.000	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.000	1.000	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	1.000	0.000
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rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	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
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
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	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
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	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
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	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

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

0.8145

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6987

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0666

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

1.0000

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9999

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9999

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9999

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9999

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9997

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9997

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9996

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9996

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9996

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9995

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9994

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9993

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9992

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9992

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9992

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9991

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9990

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9990

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9986

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9986

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9974

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9949

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9926

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9921

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9917

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9894

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9890

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9884

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9871

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9870

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9862

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9851

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9843

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9829

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9814

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9802

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9799

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9795

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9778

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9757

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9749

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9721

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9708

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9706

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9682

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9669

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9611

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9606

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9606

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9568

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9486

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9432

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9422

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9384

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9314

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9292

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9276

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9228

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9224

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9224

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9205

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9189

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9155

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9127

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8902

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8831

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8809

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8721

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8662

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8661

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8602

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8481

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8323

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8206

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7853

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7812

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7791

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7631

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7588

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7542

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7371

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7145

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7122

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7119

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6759

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6363

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6056

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5882

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5865

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5728

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5630

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5621

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5473

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5205

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5093

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4288

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4059

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3567

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2980

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2927

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2884

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2744

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2650

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2554

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2528

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2501

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2436

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2369

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2210

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2165

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2015

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1951

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1826

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1823

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1643

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1538

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1333

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1254

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1144

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1006

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0882

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0849

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0799

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0743

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0601

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0551

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.

Parent term	Z80-Z99 Persons with potential health hazards related to family and personal history and certain conditions influencing health status
Nested terms	Z99.0 Dependence on aspirator Z99.1 Dependence on respirator Z99.2 Dependence on renal dialysis Z99.3 Dependence on wheelchair Z99.4 Dependence on artificial heart Z99.8 Dependence on other enabling machines and devices Z99.9 Dependence on unspecified enabling machine and device

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`)