TreeWAS – [K82.0] Obstruction of gallbladder

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
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.701	0.299	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.599	0.401	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.567	0.433	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.564	0.436	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.547	0.452	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.000	0.464	0.536
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.534	0.466	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.513	0.487	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.000	0.505	0.494
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.445	0.554	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.424	0.576	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.423	0.577	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.399	0.601	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.391	0.609	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.373	0.626	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.360	0.639	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.337	0.663	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.329	0.671	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.327	0.673	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.279	0.721	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.268	0.732	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.263	0.737	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.257	0.743	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	0.744	0.256
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.220	0.779	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.193	0.807	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.163	0.837	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.162	0.838	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.159	0.841	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.158	0.841	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.000	0.865	0.135
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.117	0.883	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.110	0.890	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.105	0.895	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.101	0.899	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.093	0.907	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.000	0.925	0.075
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.073	0.926	0.001
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.071	0.929	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.068	0.932	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.067	0.932	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.065	0.934	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.064	0.936	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.060	0.940	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.059	0.941	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.057	0.942	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.057	0.943	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.053	0.947	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.000	0.953	0.047
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.044	0.956	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.000	0.957	0.043
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.041	0.958	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.040	0.960	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.035	0.965	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.034	0.965	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.032	0.968	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.027	0.972	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.025	0.975	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.024	0.976	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.019	0.981	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.017	0.983	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.000	0.986	0.014
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.013	0.987	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	0.988	0.011
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.011	0.989	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.011	0.989	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.011	0.989	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.010	0.990	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.990	0.010
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.009	0.991	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	0.992	0.008
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.008	0.992	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.007	0.993	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.001	0.995	0.004
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.004	0.995	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.004	0.996	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.003	0.996	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.002	0.998	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.002	0.998	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.002	0.998	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.000	0.998	0.002
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.002	0.998	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.998	0.002
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.002	0.998	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.998	0.001
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.998	0.001
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.001	0.998	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.001	0.999	0.001
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.001	0.999	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	0.999	0.001
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	0.999	0.001
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	0.999	0.001
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	0.999	0.001
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.001	0.999	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.001	0.999	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.999	0.001
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.000	0.999	0.001
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.001	0.999	0.000
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.001	0.999	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.001	0.999	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.001	0.999	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.001	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.001	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.999	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	0.999	0.001
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.001	0.999	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.001	0.999	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.001	0.999	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	0.999	0.001
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.001	0.999	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	0.999	0.001
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.001	0.999	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.001	0.999	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.001	0.999	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	0.999	0.001
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.001	0.999	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.001	0.999	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	0.999	0.001
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	0.999	0.001
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.001	0.999	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.001	0.999	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.001	0.999	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.001	0.999	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.000	0.999	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.001	0.999	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.000	0.999	0.000
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.000	0.999	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.001	0.999	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.001	0.999	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	0.999	0.001
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	0.999	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	0.999	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	0.999	0.001
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	0.999	0.001
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	0.999	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	0.999	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.001	0.999	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	0.999	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	0.999	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.999	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	0.999	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	0.999	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	0.999	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	0.999	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	0.999	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	0.999	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	0.999	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	0.999	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	0.999	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	0.999	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	0.999	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	1.000	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	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
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	1.000	0.000
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.000	1.000	0.000
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rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	1.000	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	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
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	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
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	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
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
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
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
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
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	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 X0200

log Bayes Factor = 162.369

contains 2 variants

0.8676

Cluster X0198

log Bayes Factor = 97.078

contains 5 variants

0.6699

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.6246

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7990

Cluster X0245

log Bayes Factor = 256.009

contains 7 variants

0.7410

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7161

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7161

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7153

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7139

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7121

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7117

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7109

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7072

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7071

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7070

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7052

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7024

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7021

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7002

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6997

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6996

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6940

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6859

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6836

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6702

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6691

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6667

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6657

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6600

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6510

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6386

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6369

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6353

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6284

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6241

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6212

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6187

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6161

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6154

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6141

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6099

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6047

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6031

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5921

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5875

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5811

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5800

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5746

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5729

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5722

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5700

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5686

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5622

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5540

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5521

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5422

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5400

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5258

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5203

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5085

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4933

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4793

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4755

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4734

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4699

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4566

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4553

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4384

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4381

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4377

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4332

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4307

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4251

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4248

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.4228

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4039

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3920

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3893

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3859

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3761

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3746

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3718

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3713

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3662

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3444

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3439

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3431

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3390

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3234

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3189

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3187

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3105

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3061

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2985

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2850

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2819

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2776

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2345

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2278

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2222

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2175

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2124

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2034

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1937

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1921

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1790

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1766

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1758

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1674

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1671

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1671

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1633

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1593

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1525

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1367

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1252

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1246

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1197

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1172

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1169

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0918

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0917

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0907

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0785

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0607

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0558

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0540

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`)