TreeWAS – [K76.0] Fatty (change of) liver, 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
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	1.000	0.000	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	1.000	0.000	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	1.000	0.000	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	1.000	0.000	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	1.000	0.000	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	1.000	0.000	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	1.000	0.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	1.000	0.000	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	1.000	0.000	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.999	0.001	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.999	0.001	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.998	0.002	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.995	0.005	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.943	0.057	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.779	0.221	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.745	0.255	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.728	0.272	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.718	0.282	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.639	0.361	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.566	0.434	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.564	0.436	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.481	0.519	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	0.535	0.465
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.459	0.541	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.448	0.552	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.445	0.555	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.431	0.569	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.431	0.569	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.422	0.578	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.415	0.585	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	0.661	0.339
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.337	0.663	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.333	0.667	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.325	0.675	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.276	0.724	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.262	0.738	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.241	0.759	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	0.770	0.230
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.213	0.787	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.203	0.797	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.178	0.821	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.159	0.840	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.158	0.842	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.154	0.845	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.154	0.846	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.149	0.851	0.001
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.148	0.852	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.095	0.905	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.089	0.911	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.088	0.912	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.077	0.923	0.001
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.074	0.925	0.001
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.072	0.928	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.069	0.930	0.001
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.063	0.936	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.060	0.940	0.001
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.057	0.942	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.057	0.943	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.052	0.948	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.046	0.954	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.046	0.954	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.041	0.959	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.040	0.960	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.039	0.961	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.035	0.965	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.028	0.972	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.023	0.977	0.001
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.022	0.978	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.019	0.981	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.984	0.016
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.015	0.985	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.014	0.986	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.014	0.986	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.013	0.987	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.012	0.988	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.011	0.988	0.001
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	0.988	0.011
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.010	0.989	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.990	0.010
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.009	0.990	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.007	0.992	0.001
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	0.993	0.007
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.005	0.994	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	0.995	0.005
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.996	0.004
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.003	0.996	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.003	0.996	0.001
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.003	0.996	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.003	0.997	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	0.997	0.003
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	0.998	0.002
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.002	0.998	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.002	0.998	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.998	0.002
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.998	0.001
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.001	0.998	0.001
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.002	0.998	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	0.998	0.002
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	0.998	0.002
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	0.998	0.002
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.002	0.998	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	0.998	0.002
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.001
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	0.999	0.001
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.001
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	0.999	0.001
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.001	0.999	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	0.999	0.001
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.001	0.999	0.000
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.001	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.001	0.999	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.001
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.001	0.999	0.000
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
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.001	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.001	0.999	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	0.999	0.001
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.001	0.999	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.001	0.999	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	0.999	0.001
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	0.999	0.001
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.001	0.999	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.000	0.999	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.001	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.000	0.999	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	0.999	0.001
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	0.999	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	0.999	0.001
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	1.000	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	1.000	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	1.000	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	1.000	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
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rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	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
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	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
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	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
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	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
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	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
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	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
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	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
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	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
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	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
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1557

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

1.0000

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

1.0000

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9999

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9998

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9997

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9997

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9986

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9983

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9979

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9970

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9905

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9901

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9826

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9819

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9759

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9648

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9536

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9489

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9433

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.9316

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9019

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8840

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8626

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8251

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8243

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8012

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7885

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7832

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7637

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7624

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7599

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7356

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7134

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.6911

Cluster X0187

log Bayes Factor = 30.7009

contains 1 variants

0.6760

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6582

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6549

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6491

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6157

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5654

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5298

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5220

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4741

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4724

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4495

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4089

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3971

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3635

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3467

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3274

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3116

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3091

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2807

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2689

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2685

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2598

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2545

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2521

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2348

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2090

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1955

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1706

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1629

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1392

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1386

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1346

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1173

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1083

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1025

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1010

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0956

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0772

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0633

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0629

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0595

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`)