TreeWAS – [V18.0] Driver injured in nontraffic accident

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
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.939	0.061	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.909	0.091	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.779	0.221	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.711	0.289	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.686	0.314	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.673	0.327	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.640	0.359	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.638	0.362	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.576	0.424	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.533	0.467	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.531	0.469	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.519	0.481	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.518	0.482	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.503	0.497	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.464	0.536	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.452	0.548	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.449	0.551	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.445	0.555	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.416	0.584	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.403	0.597	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.401	0.599	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.397	0.602	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.393	0.607	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.392	0.608	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.371	0.629	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.369	0.630	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.360	0.640	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.353	0.646	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.353	0.647	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.350	0.650	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.346	0.654	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.344	0.656	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.341	0.659	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.340	0.660	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.337	0.663	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.335	0.665	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.326	0.674	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.309	0.690	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.306	0.694	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.306	0.694	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.304	0.696	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.300	0.699	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.298	0.702	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.291	0.708	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.291	0.708	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.288	0.712	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.278	0.722	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.278	0.722	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.276	0.723	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.274	0.725	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.266	0.734	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.266	0.734	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.260	0.740	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.259	0.741	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.247	0.752	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.243	0.757	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.242	0.757	0.001
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.239	0.760	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.235	0.764	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.233	0.766	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.234	0.766	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.232	0.767	0.001
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.232	0.768	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.230	0.770	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.229	0.771	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.228	0.771	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.226	0.774	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.220	0.780	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.219	0.780	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.216	0.784	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.204	0.796	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.201	0.798	0.001
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.197	0.802	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.195	0.805	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.192	0.807	0.001
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.192	0.808	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.189	0.811	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.187	0.812	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.180	0.820	0.001
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.179	0.821	0.001
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.178	0.822	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.177	0.823	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.169	0.830	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.165	0.835	0.001
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.159	0.841	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.129	0.871	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.063	0.937	0.001
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.051	0.949	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.050	0.949	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.050	0.950	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.048	0.951	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.042	0.958	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.032	0.968	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.029	0.971	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.023	0.977	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	0.978	0.022
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.012	0.987	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.012	0.988	0.001
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.012	0.988	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.011	0.989	0.001
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	0.991	0.009
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.008	0.991	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.008	0.992	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	0.994	0.006
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.006	0.994	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.005	0.994	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	0.995	0.005
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.004	0.995	0.001
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.005	0.995	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	0.996	0.004
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	0.996	0.004
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	0.996	0.004
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	0.997	0.003
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.003	0.997	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.003	0.997	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	0.997	0.003
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.998	0.002
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.002	0.998	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.002	0.998	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	0.998	0.002
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.002	0.998	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.002	0.998	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.002	0.998	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.002	0.998	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	0.998	0.002
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	0.998	0.002
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	0.998	0.002
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.998	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.002	0.998	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.002	0.998	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.002	0.998	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.002	0.998	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	0.998	0.001
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	0.998	0.001
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	0.999	0.001
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.001
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.001	0.999	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	0.999	0.001
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.001	0.999	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	0.999	0.001
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.001	0.999	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.001	0.999	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	0.999	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.001	0.999	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.001	0.999	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.001	0.999	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	0.999	0.001
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	0.999	0.001
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	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
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.001	0.999	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.001	0.999	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	0.999	0.001
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.001	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs228916 lBF = `-0.0565967` Chr`22` : `37,505,552`	0.001	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.001
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.001	0.999	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	0.999	0.001
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.001
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.001	0.999	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	0.999	0.001
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.001	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.001	0.999	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	0.999	0.001
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.001	0.999	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.001
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	0.999	0.001
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	0.999	0.001
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.999	0.001
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.001	0.999	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	0.999	0.001
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	0.999	0.001
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	0.999	0.001
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	0.999	0.001
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	0.999	0.001
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.001	0.999	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	0.999	0.001
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	0.999	0.001
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	0.999	0.001
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rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.000	1.000	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
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
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	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
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	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
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	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
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
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	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
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	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
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	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
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
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	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
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	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
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3297

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9161

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9084

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8957

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8750

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8546

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8444

Cluster X0027

log Bayes Factor = 25.8087

contains 2 variants

0.8376

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8287

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8267

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8238

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8234

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8168

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7884

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7487

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7133

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7007

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6753

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6679

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6610

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6578

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6458

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6331

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6149

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6054

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5970

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5961

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5827

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5319

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5270

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4662

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4530

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4495

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4393

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4240

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4189

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4120

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4112

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3974

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3955

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3903

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3876

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3851

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3829

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3761

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3742

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3708

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3657

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3631

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3618

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3494

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3494

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3481

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3371

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3342

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3325

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3285

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3070

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3015

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2998

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2960

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2930

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2829

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2801

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2782

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2714

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2709

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2705

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2700

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2627

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2506

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2398

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2373

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2370

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2367

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2235

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2203

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2182

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2177

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2164

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2147

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2091

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2076

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2076

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1977

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1969

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1928

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1782

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1750

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1741

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1721

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1716

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1656

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1634

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1546

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1488

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1471

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1440

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1426

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1418

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1398

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1395

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1383

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1344

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1322

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1284

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1282

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1177

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1167

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1072

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1021

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1013

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1000

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0998

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0994

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0951

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0837

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0836

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0833

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0824

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0819

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0787

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0782

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0761

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0748

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0737

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0717

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0708

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0681

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0672

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0617

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0614

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0561

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0554

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0552

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0533

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0524

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0517

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0512

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`)