TreeWAS – [D14] Benign neoplasm of middle ear and respiratory system

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

D14

Benign neoplasm of middle ear and respiratory system

Parent term	D10-D36 Benign neoplasms
Nested terms	D14.0 Middle ear, nasal cavity and accessory sinuses D14.1 Larynx D14.2 Trachea D14.3 Bronchus and lung D14.4 Respiratory system, unspecified

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Variant effects

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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
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.886	0.114	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.784	0.216	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.740	0.260	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.717	0.283	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.708	0.292	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.649	0.351	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.630	0.370	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.585	0.415	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.572	0.428	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.515	0.485	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.512	0.488	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.510	0.490	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.495	0.505	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.493	0.507	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.447	0.553	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.387	0.613	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.350	0.650	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.347	0.653	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.326	0.674	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.280	0.720	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.277	0.723	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.268	0.732	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.232	0.768	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.217	0.783	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.209	0.791	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.199	0.801	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.153	0.846	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.104	0.896	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.079	0.921	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.076	0.922	0.003
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.075	0.925	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.069	0.931	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.050	0.950	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.048	0.952	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.045	0.955	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.043	0.957	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.037	0.963	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.033	0.967	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.033	0.967	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.032	0.968	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.028	0.972	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.024	0.976	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.023	0.977	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.022	0.977	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.021	0.979	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.018	0.982	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.018	0.982	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.017	0.983	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.016	0.984	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.015	0.985	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.002	0.986	0.011
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.012	0.987	0.001
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.013	0.987	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.012	0.987	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.011	0.989	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.009	0.990	0.001
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.009	0.991	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.007	0.992	0.001
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.008	0.992	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.007	0.992	0.001
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.007	0.993	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.006	0.994	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.006	0.994	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.006	0.994	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.994	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.005	0.995	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.005	0.995	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.005	0.995	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.004	0.996	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.004	0.996	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.003	0.996	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.004	0.996	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.003	0.997	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.003	0.997	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.002	0.997	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.002	0.997	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.002	0.998	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.002	0.998	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.998	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.001	0.998	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.001	0.998	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.001	0.999	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.001	0.999	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.001	0.999	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.001	0.999	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.001	0.999	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
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
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.001	0.999	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	0.999	0.001
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.001	0.999	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.001	0.999	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	0.999	0.001
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.001	0.999	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.001	0.999	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.001	0.999	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.001	0.999	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.001	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.001	0.999	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.001	0.999	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.001	0.999	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.001	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.001	0.999	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.001	0.999	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.999	0.001
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.999	0.001
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.999	0.001
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.999	0.001
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.001	0.999	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.001	0.999	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.001	0.999	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	0.999	0.001
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	0.999	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	0.999	0.001
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.001	0.999	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	0.999	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.001	0.999	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	0.999	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	1.000	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	1.000	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	1.000	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.000	1.000	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	1.000	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	1.000	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	1.000	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	1.000	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	1.000	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	1.000	0.000
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rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	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
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
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
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	1.000	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	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
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.3329

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1807

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9901

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9866

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9779

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9777

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9720

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9712

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9674

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9659

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9656

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9633

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9606

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9599

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9563

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9550

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9507

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9429

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9405

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9359

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9345

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9311

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9282

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9266

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9262

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9229

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9146

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9146

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9032

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9002

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8967

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8966

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8963

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8793

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8769

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8761

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8739

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8666

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8643

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8634

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8581

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8577

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8534

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8529

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8516

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8490

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8473

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8458

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8446

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8418

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8345

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8327

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8300

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8285

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8280

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8275

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8246

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8238

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8194

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8132

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8128

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8117

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8114

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8087

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7989

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7982

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7952

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7923

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7914

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7910

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7905

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7891

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7869

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7854

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7812

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7811

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7761

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7757

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7754

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7750

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7640

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7617

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7573

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7570

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7520

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7520

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7436

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7344

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7274

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7223

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7048

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7020

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7013

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6998

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6851

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6823

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6343

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6182

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6074

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6073

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6049

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5936

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5891

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5877

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5797

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5713

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5667

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5637

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5626

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5512

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5449

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5332

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5276

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5228

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5138

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5135

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5050

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4889

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4836

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4699

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4292

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4245

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4011

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3899

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3766

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3728

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3702

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3670

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3630

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3487

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3457

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.3365

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3002

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2965

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2718

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2589

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2535

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2443

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1637

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1594

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1180

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1173

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1110

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1097

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1039

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0989

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0902

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0854

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0710

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0702

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0695

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0693

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0672

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0625

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0598

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0592

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0539

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0524

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0501

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)