TreeWAS – [C85.1] B-cell lymphoma, unspecified

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
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.946	0.054	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.909	0.091	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.848	0.152	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.847	0.153	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.836	0.164	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.834	0.166	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.830	0.170	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.809	0.191	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.792	0.208	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.786	0.214	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.766	0.234	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.762	0.238	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.753	0.247	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.737	0.263	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.705	0.295	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.703	0.297	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.690	0.310	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.689	0.311	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.678	0.322	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.677	0.323	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.665	0.335	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.655	0.345	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.652	0.348	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.643	0.357	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.633	0.367	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.618	0.382	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.616	0.384	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.612	0.388	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.611	0.389	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.589	0.411	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.581	0.419	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.535	0.464	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.522	0.478	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.517	0.483	0.000
rs13241427 lBF = `2.02766` Chr`7` : `1,288,639`	0.000	0.488	0.512
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.511	0.489	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.496	0.503	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.496	0.504	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.496	0.504	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.494	0.506	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.488	0.512	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.482	0.518	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.474	0.525	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.470	0.530	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.466	0.534	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.464	0.535	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.460	0.540	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.459	0.541	0.000
rs6964833 lBF = `0.973346` Chr`7` : `74,101,909`	0.459	0.541	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.456	0.544	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.446	0.553	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.446	0.554	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.439	0.561	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.436	0.564	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.435	0.565	0.000
rs2280655 lBF = `1.74301` Chr`7` : `16,837,454`	0.433	0.567	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.427	0.573	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.416	0.584	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.411	0.588	0.000
rs6943555 lBF = `0.36036` Chr`7` : `69,806,023`	0.409	0.591	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.406	0.593	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.393	0.607	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.383	0.617	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.382	0.618	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.378	0.622	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.374	0.626	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.370	0.629	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.366	0.633	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.365	0.634	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.353	0.647	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.345	0.655	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.341	0.659	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.341	0.659	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.338	0.662	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.336	0.663	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.331	0.669	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.327	0.673	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.324	0.675	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.322	0.678	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.318	0.681	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.316	0.683	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.315	0.684	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.303	0.697	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.300	0.700	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.296	0.704	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.290	0.710	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.288	0.712	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.285	0.715	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.279	0.720	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.278	0.722	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.273	0.727	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.271	0.729	0.000
rs141480664 lBF = `1.7952` Chr`7` : `4,509,589`	0.267	0.733	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.262	0.738	0.000
rs117132860 lBF = `4.72832` Chr`7` : `17,134,708`	0.261	0.739	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.258	0.742	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.257	0.742	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.257	0.743	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.256	0.743	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.256	0.744	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.256	0.744	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.254	0.746	0.001
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.251	0.748	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.251	0.749	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.248	0.752	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.248	0.752	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.245	0.755	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.244	0.756	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.242	0.758	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.239	0.761	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.238	0.762	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.237	0.763	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.235	0.765	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.233	0.767	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.233	0.767	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.228	0.772	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.228	0.772	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.226	0.773	0.001
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.224	0.775	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.222	0.778	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.220	0.780	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.219	0.781	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.218	0.781	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.210	0.790	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.208	0.791	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.206	0.794	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.206	0.794	0.001
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.204	0.796	0.000
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.203	0.797	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.203	0.797	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.202	0.797	0.001
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.201	0.799	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.197	0.803	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.196	0.803	0.000
rs10248351 lBF = `0.372047` Chr`7` : `88,481,442`	0.192	0.808	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.188	0.812	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.187	0.813	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.183	0.817	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.182	0.817	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.181	0.819	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.178	0.822	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.177	0.822	0.001
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.175	0.825	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.169	0.830	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.158	0.841	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.155	0.844	0.001
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.150	0.850	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.146	0.854	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.145	0.854	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.142	0.857	0.001
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.138	0.861	0.001
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.134	0.865	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.122	0.878	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.121	0.879	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.112	0.887	0.000
rs10227331 lBF = `0.00843688` Chr`7` : `157,294,938`	0.113	0.887	0.000
rs4460308 lBF = `0.00053116` Chr`7` : `104,420,060`	0.000	0.889	0.111
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.107	0.893	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.100	0.899	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.100	0.899	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.099	0.901	0.000
rs2270221 lBF = `0.00654032` Chr`7` : `31,904,027`	0.098	0.901	0.000
rs58896911 lBF = `10.2837` Chr`7` : `28,639,955`	0.098	0.902	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.096	0.904	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.093	0.906	0.001
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.092	0.908	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.091	0.908	0.001
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.090	0.909	0.001
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.088	0.911	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.086	0.913	0.001
rs6978712 lBF = `0.173781` Chr`7` : `127,147,763`	0.085	0.915	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.083	0.916	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.083	0.917	0.000
rs28664992 lBF = `8.06447` Chr`7` : `28,579,714`	0.081	0.919	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.079	0.921	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.078	0.922	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.074	0.926	0.001
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.071	0.929	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.071	0.929	0.001
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.070	0.930	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.070	0.930	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.069	0.930	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.069	0.930	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.065	0.934	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.066	0.934	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.060	0.935	0.005
rs12532960 lBF = `0.377984` Chr`7` : `42,325,625`	0.063	0.937	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.062	0.938	0.000
rs2533291 lBF = `0.0282098` Chr`7` : `157,505,654`	0.059	0.941	0.000
rs2110483 lBF = `0.0581393` Chr`7` : `93,880,093`	0.055	0.945	0.000
rs4236420 lBF = `-0.0249058` Chr`7` : `9,688,109`	0.000	0.947	0.053
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.053	0.947	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.051	0.948	0.001
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.049	0.950	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.047	0.951	0.002
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.044	0.956	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.043	0.956	0.001
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.041	0.958	0.000
rs12019358 lBF = `0.088972` Chr`7` : `41,275,504`	0.041	0.959	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.038	0.962	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.034	0.965	0.001
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.034	0.966	0.000
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rs186074592 lBF = `0.0003866` Chr`7` : `132,855,271`	0.001	0.999	0.000
rs186314186 lBF = `-0.0129726` Chr`7` : `107,855,563`	0.000	0.999	0.001
rs2109505 lBF = `9.11073` Chr`7` : `87,079,406`	0.000	0.999	0.001
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.001	0.999	0.000
rs13244268 lBF = `0.0759865` Chr`7` : `72,911,843`	0.001	0.999	0.000
rs6951258 lBF = `0.00007721` Chr`7` : `37,757,556`	0.001	0.999	0.000
rs2227667 lBF = `-0.0212721` Chr`7` : `100,774,749`	0.001	0.999	0.000
rs38313 lBF = `-0.0296711` Chr`7` : `70,067,679`	0.000	0.999	0.001
rs60464047 lBF = `0.113646` Chr`7` : `39,418,538`	0.000	0.999	0.001
rs13231516 lBF = `0.103308` Chr`7` : `72,863,249`	0.001	0.999	0.000
rs12699683 lBF = `0.00702713` Chr`7` : `15,133,127`	0.000	0.999	0.001
rs1358075 lBF = `0.00040226` Chr`7` : `146,135,938`	0.001	0.999	0.000
rs2316527 lBF = `-0.0352809` Chr`7` : `154,622,457`	0.000	0.999	0.001
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.001	0.999	0.000
rs6943931 lBF = `0.177251` Chr`7` : `22,414,646`	0.001	0.999	0.000
rs13245023 lBF = `0.0549758` Chr`7` : `20,885,095`	0.000	0.999	0.001
rs16879765 lBF = `33.0922` Chr`7` : `37,989,095`	0.001	0.999	0.000
rs10268774 lBF = `0.00037966` Chr`7` : `82,082,438`	0.001	0.999	0.000
rs3779483 lBF = `0.00027215` Chr`7` : `95,455,845`	0.001	0.999	0.000
rs2462686 lBF = `-0.0210818` Chr`7` : `45,982,460`	0.001	0.999	0.000
rs183110392 lBF = `0.00031335` Chr`7` : `94,053,290`	0.001	0.999	0.000
rs117982730 lBF = `-0.0065703` Chr`7` : `125,896,748`	0.001	0.999	0.000
rs13438327 lBF = `-0.0377185` Chr`7` : `97,620,691`	0.001	0.999	0.000
rs3918226 lBF = `61.7604` Chr`7` : `150,690,176`	0.000	0.999	0.001
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.001	0.999	0.000
rs357394 lBF = `-0.073979` Chr`7` : `138,049,387`	0.000	0.999	0.001
rs2707466 lBF = `6.3523` Chr`7` : `120,979,089`	0.000	0.999	0.001
rs10244051 lBF = `5.07893` Chr`7` : `15,063,833`	0.001	0.999	0.000
rs17158675 lBF = `0.0507131` Chr`7` : `83,782,839`	0.001	0.999	0.000
rs7795747 lBF = `0.00038589` Chr`7` : `150,361,718`	0.001	0.999	0.000
rs183747217 lBF = `0.00030401` Chr`7` : `151,740,811`	0.001	0.999	0.000
rs336284 lBF = `0.708232` Chr`7` : `35,293,972`	0.000	0.999	0.001
rs6980334 lBF = `-0.0864846` Chr`7` : `137,788,492`	0.000	0.999	0.001
rs145241704 lBF = `-0.0408507` Chr`7` : `141,505,087`	0.001	0.999	0.000
rs6972204 lBF = `-0.05031` Chr`7` : `2,582,452`	0.001	0.999	0.000
rs12704645 lBF = `-0.0822598` Chr`7` : `92,622,650`	0.001	0.999	0.000
rs13233571 lBF = `0.180603` Chr`7` : `72,971,231`	0.001	0.999	0.000
rs6943029 lBF = `-0.0340311` Chr`7` : `155,762,157`	0.000	0.999	0.001
rs12669076 lBF = `-0.0681948` Chr`7` : `96,415,055`	0.001	0.999	0.000
rs149619169 lBF = `0.00028222` Chr`7` : `151,739,052`	0.001	0.999	0.000
rs17169634 lBF = `-0.0227026` Chr`7` : `34,093,997`	0.000	0.999	0.001
rs11562045 lBF = `5.52176` Chr`7` : `134,592,554`	0.000	0.999	0.001
rs2245368 lBF = `-0.037174` Chr`7` : `76,608,143`	0.001	0.999	0.000
rs17168594 lBF = `5.46141` Chr`7` : `15,048,776`	0.001	0.999	0.000
rs73099645 lBF = `0.213252` Chr`7` : `43,226,641`	0.000	0.999	0.001
rs13245690 lBF = `0.168715` Chr`7` : `120,785,064`	0.000	0.999	0.001
rs77689838 lBF = `-0.0247742` Chr`7` : `67,591,039`	0.000	0.999	0.001
rs10262453 lBF = `0.131567` Chr`7` : `33,256,039`	0.001	0.999	0.000
rs10951138 lBF = `0.0235433` Chr`7` : `26,481,804`	0.000	0.999	0.001
rs38152 lBF = `0.0173628` Chr`7` : `20,047,575`	0.001	0.999	0.000
rs11770757 lBF = `0.00015366` Chr`7` : `133,747,946`	0.001	0.999	0.001
rs190817748 lBF = `0.00011677` Chr`7` : `52,139,578`	0.001	0.999	0.000
rs111588657 lBF = `0.00011247` Chr`7` : `52,133,803`	0.001	0.999	0.000
rs17135437 lBF = `0.00007711` Chr`7` : `101,115,994`	0.001	0.999	0.000
rs77443149 lBF = `0.00006049` Chr`7` : `97,924,554`	0.001	0.999	0.000
rs76917448 lBF = `-0.0165131` Chr`7` : `34,114,712`	0.000	0.999	0.001
rs17137412 lBF = `-0.0369901` Chr`7` : `7,800,687`	0.000	0.999	0.001
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.001	0.999	0.000
rs146883444 lBF = `0.177148` Chr`7` : `147,616,793`	0.001	0.999	0.000
rs11564024 lBF = `0.00008225` Chr`7` : `27,335,561`	0.001	0.999	0.000
rs17159991 lBF = `0.00002963` Chr`7` : `31,242,470`	0.000	0.999	0.001
rs190130937 lBF = `0.00002823` Chr`7` : `13,111,178`	0.001	0.999	0.000
rs185746565 lBF = `0` Chr`7` : `135,260,049`	0.001	0.999	0.001
rs149774937 lBF = `0` Chr`7` : `151,737,020`	0.001	0.999	0.001
rs10266254 lBF = `0` Chr`7` : `89,763,864`	0.001	0.999	0.001
rs191698899 lBF = `0` Chr`7` : `94,015,730`	0.001	0.999	0.001
rs181328644 lBF = `0` Chr`7` : `34,899,414`	0.001	0.999	0.001
rs149069622 lBF = `0` Chr`7` : `151,749,259`	0.001	0.999	0.001
rs139110493 lBF = `0` Chr`7` : `75,209,951`	0.001	0.999	0.001
rs12666870 lBF = `0` Chr`7` : `78,158,472`	0.001	0.999	0.001
rs147962389 lBF = `0` Chr`7` : `151,730,891`	0.001	0.999	0.001
rs74464075 lBF = `0` Chr`7` : `86,874,077`	0.001	0.999	0.001
rs191979398 lBF = `0` Chr`7` : `94,008,007`	0.001	0.999	0.001
rs183464040 lBF = `0` Chr`7` : `125,610,713`	0.001	0.999	0.001
rs150256815 lBF = `0` Chr`7` : `151,743,793`	0.001	0.999	0.001
rs76742446 lBF = `0` Chr`7` : `155,072,619`	0.001	0.999	0.001
rs192462116 lBF = `0` Chr`7` : `94,767,406`	0.001	0.999	0.001
rs141892389 lBF = `0` Chr`7` : `151,716,711`	0.001	0.999	0.001
rs188324495 lBF = `0` Chr`7` : `7,195,467`	0.001	0.999	0.001
rs183600932 lBF = `0` Chr`7` : `11,058,396`	0.001	0.999	0.001
rs114302618 lBF = `0` Chr`7` : `93,967,060`	0.001	0.999	0.001
rs806215 lBF = `0` Chr`7` : `127,237,312`	0.001	0.999	0.001
rs8192851 lBF = `0` Chr`7` : `139,687,304`	0.001	0.999	0.001
rs4732446 lBF = `0` Chr`7` : `82,002,217`	0.001	0.999	0.001
rs10428959 lBF = `0` Chr`7` : `111,677,906`	0.001	0.999	0.001
rs145460587 lBF = `0` Chr`7` : `53,441,569`	0.001	0.999	0.001
rs114174633 lBF = `0` Chr`7` : `151,706,189`	0.001	0.999	0.001
rs115605431 lBF = `0` Chr`7` : `3,221,648`	0.001	0.999	0.001
rs11982969 lBF = `0` Chr`7` : `142,141,746`	0.001	0.999	0.001
rs140817150 lBF = `0` Chr`7` : `13,396,630`	0.001	0.999	0.001
rs9771228 lBF = `0` Chr`7` : `32,322,496`	0.001	0.999	0.001
rs146622168 lBF = `0` Chr`7` : `34,937,537`	0.001	0.999	0.001
rs6977715 lBF = `0` Chr`7` : `154,169,002`	0.001	0.999	0.001
rs189909051 lBF = `0` Chr`7` : `151,731,803`	0.001	0.999	0.001
rs188593748 lBF = `0` Chr`7` : `108,157,222`	0.001	0.999	0.001
rs191729664 lBF = `0` Chr`7` : `125,652,599`	0.001	0.999	0.001
rs139557951 lBF = `0` Chr`7` : `151,748,474`	0.001	0.999	0.001
rs114659987 lBF = `0` Chr`7` : `51,094,963`	0.001	0.999	0.001
rs6593122 lBF = `0` Chr`7` : `54,181,932`	0.001	0.999	0.001
rs188061594 lBF = `0` Chr`7` : `151,729,217`	0.001	0.999	0.001
rs6973392 lBF = `0` Chr`7` : `89,060,733`	0.001	0.999	0.001

This table lists the top 500 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 X0066

log Bayes Factor = 26.0466

contains 2 variants

0.1170

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0737

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9962

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.9936

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9884

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9864

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.9846

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9844

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9810

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9785

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9713

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9669

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9660

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9651

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9449

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9434

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9318

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9307

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9305

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9152

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9083

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8971

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8698

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8688

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.8641

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8634

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8558

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8536

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8495

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8237

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8231

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8208

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8198

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8194

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.8171

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8157

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8131

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8110

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7993

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7966

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7883

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7766

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7637

Cluster X0272

log Bayes Factor = 22.1927

contains 2 variants

0.7477

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7434

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7433

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7316

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7288

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7201

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7110

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7096

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7053

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7036

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7012

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6836

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6829

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6526

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6476

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6431

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6384

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6336

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6176

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5975

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5972

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5738

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5733

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5618

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5491

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5359

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5139

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5073

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4714

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4635

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4590

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4554

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4424

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4381

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4204

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4131

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4048

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4026

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4026

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3923

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3900

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3860

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3828

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3712

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3478

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3332

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2977

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2946

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2902

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2896

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2892

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2871

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2836

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2722

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2546

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2511

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2439

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2425

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2370

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2211

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2126

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2097

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2049

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1985

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1979

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1971

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1971

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1960

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1951

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1938

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1917

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1797

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1747

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1746

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1714

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1671

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1644

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1593

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1503

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1405

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1392

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1371

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1364

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1225

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1165

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1138

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1129

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1126

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1106

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1098

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1084

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1043

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1024

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0983

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0926

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0825

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0817

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0811

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0801

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0735

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0708

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0680

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0646

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0614

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0588

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0581

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0574

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0551

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

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

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

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`)