TreeWAS – [K25.4] Chronic or unspecified with haemorrhage

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
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.797	0.203	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.791	0.209	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.754	0.245	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.725	0.275	0.000
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.711	0.289	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.698	0.302	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.681	0.319	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.650	0.350	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.636	0.363	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.620	0.379	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.608	0.392	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.607	0.393	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.603	0.397	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.592	0.408	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.000	0.417	0.582
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.571	0.429	0.000
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.538	0.462	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.534	0.466	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.533	0.467	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.521	0.479	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.000	0.483	0.517
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.514	0.486	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.000	0.492	0.508
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.507	0.492	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.499	0.501
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.500	0.499	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.496	0.503	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	0.516	0.484
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.478	0.521	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.471	0.528	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.462	0.537	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.450	0.550	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.436	0.564	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.429	0.571	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.420	0.580	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.404	0.596	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.394	0.606	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.389	0.611	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.379	0.621	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.335	0.665	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.327	0.673	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.310	0.690	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.293	0.706	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.280	0.719	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.258	0.742	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.244	0.756	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.244	0.756	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.241	0.759	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.233	0.767	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.203	0.797	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.187	0.813	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.185	0.815	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.181	0.819	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.181	0.819	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.180	0.820	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.169	0.831	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.159	0.840	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.157	0.843	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.156	0.843	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.147	0.853	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.124	0.876	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.122	0.878	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.110	0.889	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.109	0.891	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.097	0.903	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.088	0.911	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.088	0.912	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.081	0.919	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.079	0.920	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.068	0.932	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.065	0.935	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.064	0.936	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.058	0.941	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.056	0.944	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.049	0.951	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.951	0.049
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.042	0.958	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.041	0.958	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.037	0.962	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.035	0.965	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.033	0.967	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.032	0.968	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.031	0.969	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.026	0.973	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.025	0.975	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.021	0.979	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.021	0.979	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.017	0.983	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.017	0.983	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.015	0.985	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.013	0.986	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.013	0.986	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.013	0.987	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.012	0.987	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.988	0.012
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.012	0.988	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.988	0.011
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.011	0.989	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.010	0.990	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.010	0.990	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.009	0.990	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	0.991	0.009
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.008	0.992	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.007	0.993	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.006	0.993	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.006	0.994	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.006	0.994	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.005	0.994	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.005	0.995	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.005	0.995	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.005	0.995	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.005	0.995	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.005	0.995	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.004	0.996	0.000
rs6468544 lBF = `0.0553341` Chr`8` : `98,329,765`	0.004	0.996	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.004	0.996	0.000
rs17428041 lBF = `-0.0669529` Chr`8` : `21,711,431`	0.000	0.996	0.004
rs1456315 lBF = `-0.0458556` Chr`8` : `128,103,937`	0.004	0.996	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.004	0.996	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.003	0.996	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.003	0.997	0.000
rs4871137 lBF = `-0.0990842` Chr`8` : `121,868,551`	0.000	0.997	0.003
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs383592 lBF = `-0.0854935` Chr`8` : `90,804,328`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.002	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.997	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.003	0.997	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.002	0.997	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.002	0.997	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.002	0.998	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.002	0.998	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.002	0.998	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.002	0.998	0.000
rs13273088 lBF = `-0.0230254` Chr`8` : `70,493,974`	0.002	0.998	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.002	0.998	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.002	0.998	0.000
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs10097731 lBF = `0.231731` Chr`8` : `82,027,672`	0.000	0.998	0.002
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.002	0.998	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.002	0.998	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.002	0.998	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.002	0.998	0.000
rs2449215 lBF = `0.0947357` Chr`8` : `3,488,338`	0.000	0.998	0.002
rs6986718 lBF = `0.0450829` Chr`8` : `121,635,396`	0.002	0.998	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.002	0.998	0.000
rs6469937 lBF = `-0.0880785` Chr`8` : `121,610,438`	0.000	0.998	0.002
rs2616984 lBF = `0.220998` Chr`8` : `4,483,141`	0.002	0.998	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.002	0.998	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.001	0.998	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.002	0.998	0.000
rs6991347 lBF = `8.62128` Chr`8` : `25,756,681`	0.000	0.998	0.002
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.002	0.998	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.001	0.998	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.001	0.998	0.000
rs4735738 lBF = `0.0576628` Chr`8` : `77,611,625`	0.001	0.998	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.001
rs10958369 lBF = `-0.0743503` Chr`8` : `54,410,208`	0.001	0.999	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.001	0.999	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.001	0.999	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.001	0.999	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.001	0.999	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.001	0.999	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.001	0.999	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.001	0.999	0.000
rs11135910 lBF = `0.678122` Chr`8` : `25,892,142`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.999	0.001
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.001	0.999	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.001	0.999	0.000
rs11787341 lBF = `0.0273871` Chr`8` : `19,102,564`	0.001	0.999	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.000	0.999	0.001
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.001	0.999	0.000
rs4922199 lBF = `0.0780121` Chr`8` : `20,301,437`	0.001	0.999	0.000
rs40457 lBF = `-0.0964489` Chr`8` : `90,823,687`	0.001	0.999	0.000
rs959695 lBF = `-0.0580729` Chr`8` : `100,835,182`	0.001	0.999	0.000
rs344235 lBF = `-0.070024` Chr`8` : `62,926,147`	0.001	0.999	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.001	0.999	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.000	0.999	0.001
rs16937456 lBF = `-0.00258648` Chr`8` : `72,077,955`	0.001	0.999	0.000
rs4281086 lBF = `-0.0825628` Chr`8` : `10,352,308`	0.001	0.999	0.000
rs42490 lBF = `-0.106832` Chr`8` : `90,778,513`	0.001	0.999	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs881301 lBF = `-0.0216293` Chr`8` : `38,332,318`	0.001	0.999	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs2045084 lBF = `-0.0667958` Chr`8` : `144,693,839`	0.001	0.999	0.000
rs13256366 lBF = `5.2471` Chr`8` : `23,502,660`	0.001	0.999	0.000
rs2169387 lBF = `1.29327` Chr`8` : `9,181,395`	0.001	0.999	0.000
rs903027 lBF = `0.0196467` Chr`8` : `62,409,428`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs9314614 lBF = `-0.0966588` Chr`8` : `6,697,731`	0.000	0.999	0.001
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rs2002030 lBF = `-0.0219667` Chr`8` : `11,276,542`	0.000	0.999	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.000	0.999	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.000	0.999	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	0.999	0.000
rs7844647 lBF = `1.14055` Chr`8` : `34,503,776`	0.000	0.999	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.999	0.000
rs10958409 lBF = `-0.00235757` Chr`8` : `55,327,091`	0.000	0.999	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	0.999	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	0.999	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.000	0.999	0.000
rs9297216 lBF = `-0.0266697` Chr`8` : `34,045,261`	0.000	0.999	0.000
rs591323 lBF = `-0.0377273` Chr`8` : `16,697,091`	0.000	0.999	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	0.999	0.000
rs931812 lBF = `-0.0890979` Chr`8` : `101,919,321`	0.000	0.999	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.000	1.000	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.000	1.000	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.000	1.000	0.000
rs10216709 lBF = `6.56846` Chr`8` : `126,472,487`	0.000	1.000	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.000	1.000	0.000
rs2930491 lBF = `1.29978` Chr`8` : `107,842,294`	0.000	1.000	0.000
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.000	1.000	0.000
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	1.000	0.000
rs2247572 lBF = `0.0484154` Chr`8` : `73,633,028`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	1.000	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.000	1.000	0.000
rs4733601 lBF = `-0.0240629` Chr`8` : `129,269,466`	0.000	1.000	0.000
rs2466067 lBF = `-0.0475776` Chr`8` : `32,437,994`	0.000	1.000	0.000
rs1460163 lBF = `-0.064761` Chr`8` : `80,227,448`	0.000	1.000	0.000
rs604254 lBF = `20.4602` Chr`8` : `70,059,164`	0.000	1.000	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.000	1.000	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.000	1.000	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.000	1.000	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.000	1.000	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.000	1.000	0.000
rs611744 lBF = `7.81856` Chr`8` : `109,228,008`	0.000	1.000	0.000
rs2981205 lBF = `1.43592` Chr`8` : `107,844,447`	0.000	1.000	0.000
rs7834018 lBF = `0.188881` Chr`8` : `72,561,742`	0.000	1.000	0.000
rs4355801 lBF = `0.157347` Chr`8` : `119,923,873`	0.000	1.000	0.000
rs7829987 lBF = `0.132573` Chr`8` : `17,462,222`	0.000	1.000	0.000
rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.000	1.000	0.000
rs58605417 lBF = `0.0597869` Chr`8` : `89,294,322`	0.000	1.000	0.000
rs2243407 lBF = `0.00350594` Chr`8` : `11,480,457`	0.000	1.000	0.000
rs7823896 lBF = `0.00330636` Chr`8` : `110,217,266`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs7010162 lBF = `-0.0111381` Chr`8` : `70,976,505`	0.000	1.000	0.000
rs2447961 lBF = `-0.0167582` Chr`8` : `102,481,308`	0.000	1.000	0.000
rs16904179 lBF = `-0.0207368` Chr`8` : `130,958,951`	0.000	1.000	0.000
rs17126232 lBF = `-0.0593424` Chr`8` : `17,977,650`	0.000	1.000	0.000
rs11785622 lBF = `-0.0648869` Chr`8` : `99,317,739`	0.000	1.000	0.000
rs7011049 lBF = `-0.0709462` Chr`8` : `53,834,012`	0.000	1.000	0.000
rs4527850 lBF = `-0.0922114` Chr`8` : `134,196,849`	0.000	1.000	0.000
rs12541635 lBF = `-0.100957` Chr`8` : `107,090,000`	0.000	1.000	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.000	1.000	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	1.000	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.000	1.000	0.000
rs10096633 lBF = `4.10153` Chr`8` : `19,830,921`	0.000	1.000	0.000
rs4602861 lBF = `3.8459` Chr`8` : `106,590,706`	0.000	1.000	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.000	1.000	0.000
rs5003154 lBF = `1.76117` Chr`8` : `81,986,953`	0.000	1.000	0.000
rs9298506 lBF = `0.291683` Chr`8` : `55,437,524`	0.000	1.000	0.000
rs10104997 lBF = `0.28902` Chr`8` : `55,440,068`	0.000	1.000	0.000
rs10102164 lBF = `0.173184` Chr`8` : `55,421,614`	0.000	1.000	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.000	1.000	0.000
rs17068510 lBF = `-0.00515294` Chr`8` : `3,863,111`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs35820208 lBF = `-0.0322041` Chr`8` : `94,916,103`	0.000	1.000	0.000
rs13257518 lBF = `-0.0487025` Chr`8` : `32,635,574`	0.000	1.000	0.000
rs4129585 lBF = `-0.0781628` Chr`8` : `143,312,933`	0.000	1.000	0.000
rs3892512 lBF = `-0.102026` Chr`8` : `53,010,163`	0.000	1.000	0.000
rs1015003 lBF = `-0.102741` Chr`8` : `37,096,059`	0.000	1.000	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.000	1.000	0.000
rs10503779 lBF = `14.6968` Chr`8` : `25,743,428`	0.000	1.000	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.000	1.000	0.000
rs1160133 lBF = `0.301225` Chr`8` : `59,305,290`	0.000	1.000	0.000
rs6987004 lBF = `0.261503` Chr`8` : `34,524,003`	0.000	1.000	0.000
rs2468677 lBF = `0.115259` Chr`8` : `140,519,517`	0.000	1.000	0.000
rs2126259 lBF = `0.0711624` Chr`8` : `9,185,146`	0.000	1.000	0.000
rs1461729 lBF = `0.0670221` Chr`8` : `9,187,242`	0.000	1.000	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	1.000	0.000
rs2360806 lBF = `0.00648987` Chr`8` : `53,125,734`	0.000	1.000	0.000
rs6990917 lBF = `-0.00492576` Chr`8` : `68,799,377`	0.000	1.000	0.000
rs11787111 lBF = `-0.00819103` Chr`8` : `65,192,451`	0.000	1.000	0.000
rs6422354 lBF = `-0.0143532` Chr`8` : `9,438,720`	0.000	1.000	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	1.000	0.000
rs977396 lBF = `-0.0388677` Chr`8` : `105,992,696`	0.000	1.000	0.000
rs2741335 lBF = `-0.0522161` Chr`8` : `27,337,791`	0.000	1.000	0.000
rs10090117 lBF = `-0.0627887` Chr`8` : `18,381,235`	0.000	1.000	0.000
rs2033562 lBF = `-0.108618` Chr`8` : `103,547,739`	0.000	1.000	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.000	1.000	0.000

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 X0318

log Bayes Factor = 44.5459

contains 2 variants

0.4971

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.4080

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9975

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.9822

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9760

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9753

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9642

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9634

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9507

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9426

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9193

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8862

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8824

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8726

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8637

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8469

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8354

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8011

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7710

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7664

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7619

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7528

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7438

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7421

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7242

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7126

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6976

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6892

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6791

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6728

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6544

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6313

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6279

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6273

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6222

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6063

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5733

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5711

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5640

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5202

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4967

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4845

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4803

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4726

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4680

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4605

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4421

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4221

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3812

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3388

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3279

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3147

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2948

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2836

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2531

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2455

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2148

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2147

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2074

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1698

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1657

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1282

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1048

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0818

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0799

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0786

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0697

Cluster X0178

log Bayes Factor = 225.6

contains 9 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`)