TreeWAS – [K26.4] 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
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.934	0.066	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.000	0.073	0.927
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	0.082	0.918
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.897	0.103	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.000	0.151	0.849
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.000	0.156	0.844
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.822	0.178	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.695	0.305	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.690	0.310	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.678	0.322	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.658	0.342	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.603	0.397	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.600	0.400	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.586	0.414	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.559	0.441	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.557	0.442	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.553	0.447	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.550	0.450	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.549	0.450	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.545	0.455	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.535	0.465	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.533	0.467	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.532	0.468	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.501	0.499	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.498	0.502	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.467	0.533	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.456	0.544	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.454	0.546	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.550	0.450
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.449	0.551	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.447	0.552	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.422	0.578	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.408	0.592	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.399	0.601	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.395	0.605	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.368	0.632	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.367	0.633	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.346	0.653	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.343	0.657	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.330	0.669	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.316	0.683	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.311	0.689	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.304	0.696	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.304	0.696	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.254	0.746	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.246	0.753	0.001
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.246	0.753	0.001
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.234	0.766	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.206	0.793	0.001
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.205	0.795	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.187	0.813	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.186	0.814	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.174	0.825	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.172	0.827	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.159	0.840	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.159	0.841	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.154	0.846	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.149	0.851	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.136	0.864	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.127	0.873	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.124	0.875	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.119	0.881	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.115	0.885	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.103	0.896	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.098	0.902	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.096	0.904	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.094	0.906	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.081	0.919	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.080	0.920	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.058	0.942	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.055	0.945	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.054	0.946	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.949	0.050
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.050	0.950	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.046	0.954	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.046	0.954	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.043	0.957	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.041	0.958	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.037	0.962	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.034	0.966	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.034	0.966	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.032	0.968	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.030	0.969	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.028	0.972	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.027	0.973	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.025	0.975	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.023	0.977	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.979	0.021
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.020	0.980	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.020	0.980	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.016	0.983	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.016	0.984	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.015	0.985	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.011	0.988	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.011	0.989	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.011	0.989	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.010	0.989	0.000
rs1671400 lBF = `-0.00901045` Chr`8` : `13,176,407`	0.010	0.990	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.010	0.990	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.010	0.990	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.990	0.009
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.009	0.991	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.009	0.991	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.009	0.991	0.000
rs12542759 lBF = `-0.0740763` Chr`8` : `133,034,837`	0.009	0.991	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.008	0.992	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.008	0.992	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.007	0.993	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.007	0.993	0.000
rs10098647 lBF = `-0.102468` Chr`8` : `61,105,199`	0.007	0.993	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.007	0.993	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.006	0.993	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.006	0.994	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.006	0.994	0.000
rs4922199 lBF = `0.0780121` Chr`8` : `20,301,437`	0.000	0.995	0.005
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.005	0.995	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.005	0.995	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.004	0.995	0.000
rs2293889 lBF = `0.741129` Chr`8` : `116,599,199`	0.000	0.995	0.005
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.004	0.996	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.004	0.996	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.003	0.997	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.003	0.997	0.000
rs1160133 lBF = `0.301225` Chr`8` : `59,305,290`	0.003	0.997	0.000
rs2702888 lBF = `-0.0766788` Chr`8` : `6,765,032`	0.000	0.997	0.003
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.003	0.997	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.003	0.997	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.003	0.997	0.000
rs77913157 lBF = `0.00320006` Chr`8` : `19,949,198`	0.000	0.997	0.003
rs34975555 lBF = `0.172615` Chr`8` : `17,858,297`	0.003	0.997	0.000
rs907121 lBF = `0.11678` Chr`8` : `122,963,215`	0.000	0.997	0.003
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.002	0.997	0.000
rs2287654 lBF = `0.0468666` Chr`8` : `47,947,701`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.997	0.000
rs11786458 lBF = `-0.0542127` Chr`8` : `40,252,701`	0.000	0.997	0.003
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.002	0.997	0.000
rs13276960 lBF = `-0.0479738` Chr`8` : `103,908,004`	0.000	0.997	0.003
rs4506170 lBF = `1.56706` Chr`8` : `128,323,891`	0.000	0.998	0.002
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.002	0.998	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.002	0.998	0.000
rs1442407 lBF = `-0.0522984` Chr`8` : `3,091,584`	0.002	0.998	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.002	0.998	0.000
rs4736192 lBF = `-0.0915727` Chr`8` : `139,979,825`	0.002	0.998	0.000
rs13270892 lBF = `-0.0278743` Chr`8` : `20,497,183`	0.000	0.998	0.002
rs10111661 lBF = `0.994666` Chr`8` : `20,336,573`	0.000	0.998	0.002
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.002	0.998	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.002	0.998	0.000
rs4493873 lBF = `-0.0878362` Chr`8` : `92,075,643`	0.000	0.998	0.002
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.000	0.998	0.002
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.002	0.998	0.000
rs11776272 lBF = `-0.0067885` Chr`8` : `21,884,544`	0.002	0.998	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.002	0.998	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.002	0.998	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.002	0.998	0.000
rs2220321 lBF = `2.73724` Chr`8` : `127,911,596`	0.000	0.998	0.002
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	0.998	0.002
rs36056951 lBF = `-0.0362417` Chr`8` : `139,965,798`	0.002	0.998	0.000
rs4534106 lBF = `-0.0730172` Chr`8` : `108,789,816`	0.000	0.998	0.002
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.002	0.998	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.002	0.998	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.002	0.998	0.000
rs2254546 lBF = `0.049017` Chr`8` : `11,343,680`	0.000	0.998	0.002
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.001	0.998	0.000
rs12546767 lBF = `-0.0108878` Chr`8` : `126,082,565`	0.002	0.998	0.000
rs4871750 lBF = `2.92135` Chr`8` : `127,902,003`	0.000	0.998	0.002
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.001	0.998	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.002	0.998	0.000
rs13268726 lBF = `-0.0085601` Chr`8` : `126,013,134`	0.002	0.998	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.001	0.998	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.001	0.998	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.001	0.998	0.000
rs4637816 lBF = `0.0835773` Chr`8` : `78,277,473`	0.002	0.998	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.001	0.998	0.000
rs4738393 lBF = `-0.0579748` Chr`8` : `56,599,777`	0.000	0.998	0.002
rs1390943 lBF = `-0.0869074` Chr`8` : `20,081,890`	0.001	0.998	0.000
rs6558578 lBF = `-0.0952741` Chr`8` : `1,969,726`	0.000	0.998	0.002
rs7816345 lBF = `1.73833` Chr`8` : `36,846,109`	0.001	0.998	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.001	0.999	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.999	0.001
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs6984242 lBF = `0.160784` Chr`8` : `60,700,469`	0.000	0.999	0.001
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	0.999	0.001
rs891835 lBF = `-0.0306317` Chr`8` : `130,491,752`	0.001	0.999	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs2460905 lBF = `-0.00438948` Chr`8` : `12,834,600`	0.000	0.999	0.001
rs12680842 lBF = `0.0437133` Chr`8` : `95,582,606`	0.000	0.999	0.001
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.001	0.999	0.000
rs11785400 lBF = `0.145866` Chr`8` : `143,730,456`	0.001	0.999	0.000
rs2741200 lBF = `0.163349` Chr`8` : `134,071,833`	0.001	0.999	0.000
rs975730 lBF = `0.41531` Chr`8` : `129,316,014`	0.000	0.999	0.001
rs1532423 lBF = `0.0695994` Chr`8` : `86,268,313`	0.001	0.999	0.000
rs16902094 lBF = `2.51795` Chr`8` : `128,320,346`	0.000	0.999	0.001
rs2116078 lBF = `0.0847208` Chr`8` : `73,363,989`	0.000	0.999	0.001
rs7812879 lBF = `0.0541953` Chr`8` : `11,340,181`	0.000	0.999	0.001
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rs2458413 lBF = `-0.0845246` Chr`8` : `105,359,432`	0.001	0.999	0.000
rs2954033 lBF = `27.3604` Chr`8` : `126,493,746`	0.001	0.999	0.000
rs4242382 lBF = `18.3507` Chr`8` : `128,517,573`	0.000	0.999	0.001
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.000	0.999	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	0.999	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	0.999	0.000
rs17217757 lBF = `-0.0403255` Chr`8` : `106,613,321`	0.000	0.999	0.001
rs4500123 lBF = `-0.0406507` Chr`8` : `92,970,153`	0.000	0.999	0.001
rs10089517 lBF = `-0.0568592` Chr`8` : `60,178,721`	0.000	0.999	0.001
rs6998277 lBF = `-0.0997472` Chr`8` : `103,639,941`	0.000	0.999	0.001
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.001	0.999	0.000
rs4738684 lBF = `15.985` Chr`8` : `59,393,273`	0.000	0.999	0.001
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.000	0.999	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.000	0.999	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.000	0.999	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.000	0.999	0.001
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	0.999	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.000	0.999	0.001
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.000	0.999	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	0.999	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.000	0.999	0.000
rs10086568 lBF = `0.258841` Chr`8` : `6,900,336`	0.001	0.999	0.000
rs10492294 lBF = `0.192993` Chr`8` : `129,246,415`	0.000	0.999	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	0.999	0.000
rs2978263 lBF = `-0.00965483` Chr`8` : `30,498,859`	0.001	0.999	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	0.999	0.000
rs13273088 lBF = `-0.0230254` Chr`8` : `70,493,974`	0.000	0.999	0.000
rs4921799 lBF = `-0.0748329` Chr`8` : `17,507,964`	0.001	0.999	0.000
rs4875053 lBF = `-0.0791384` Chr`8` : `144,872,411`	0.000	0.999	0.001
rs2954038 lBF = `34.2663` Chr`8` : `126,507,389`	0.001	0.999	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.000	0.999	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.000	0.999	0.000
rs9297994 lBF = `15.9783` Chr`8` : `59,392,324`	0.000	0.999	0.001
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	0.999	0.000
rs4545046 lBF = `0.327938` Chr`8` : `27,556,526`	0.000	0.999	0.001
rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.000	0.999	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.999	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	0.999	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	0.999	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	0.999	0.000
rs2071598 lBF = `-0.0176702` Chr`8` : `99,129,507`	0.000	0.999	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	0.999	0.000
rs17126232 lBF = `-0.0593424` Chr`8` : `17,977,650`	0.000	0.999	0.000
rs2610025 lBF = `-0.101587` Chr`8` : `57,505,313`	0.001	0.999	0.000
rs10504543 lBF = `-0.105699` Chr`8` : `73,778,642`	0.000	0.999	0.001
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	0.999	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	0.999	0.000
rs1296028 lBF = `2.87067` Chr`8` : `11,698,747`	0.000	0.999	0.000
rs4625043 lBF = `0.912167` Chr`8` : `24,533,193`	0.000	0.999	0.000
rs12545912 lBF = `0.193794` Chr`8` : `9,601,699`	0.000	0.999	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	0.999	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.000	0.999	0.000
rs56677333 lBF = `-0.00016109` Chr`8` : `6,750,801`	0.000	0.999	0.000
rs2163950 lBF = `-0.0149918` Chr`8` : `130,597,585`	0.000	0.999	0.000
rs11777345 lBF = `-0.0602902` Chr`8` : `5,426,531`	0.000	0.999	0.000
rs9314614 lBF = `-0.0966588` Chr`8` : `6,697,731`	0.000	0.999	0.000
rs2954026 lBF = `24.8282` Chr`8` : `126,484,526`	0.000	1.000	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.000	1.000	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.000	1.000	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.000	1.000	0.000
rs2738058 lBF = `0.0417711` Chr`8` : `6,821,617`	0.000	1.000	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.000	1.000	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs7007076 lBF = `-0.0491761` Chr`8` : `124,730,029`	0.000	1.000	0.000
rs10090104 lBF = `-0.0522781` Chr`8` : `142,370,862`	0.000	1.000	0.000
rs75200691 lBF = `-0.0532288` Chr`8` : `13,054,869`	0.000	1.000	0.000
rs17581368 lBF = `-0.0956044` Chr`8` : `21,662,445`	0.000	1.000	0.000
rs1447295 lBF = `15.7554` Chr`8` : `128,485,038`	0.000	1.000	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.000	1.000	0.000
rs4642619 lBF = `1.51359` Chr`8` : `111,487,468`	0.000	1.000	0.000
rs36068923 lBF = `1.50278` Chr`8` : `111,485,761`	0.000	1.000	0.000
rs10097669 lBF = `0.53036` Chr`8` : `4,437,465`	0.000	1.000	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	1.000	0.000
rs2946504 lBF = `0.0882884` Chr`8` : `12,811,580`	0.000	1.000	0.000
rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.000	1.000	0.000
rs11781525 lBF = `0.0341254` Chr`8` : `125,721,366`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs6990917 lBF = `-0.00492576` Chr`8` : `68,799,377`	0.000	1.000	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.000	1.000	0.000
rs881301 lBF = `-0.0216293` Chr`8` : `38,332,318`	0.000	1.000	0.000
rs1579834 lBF = `-0.0389399` Chr`8` : `81,813,346`	0.000	1.000	0.000
rs74834049 lBF = `-0.041421` Chr`8` : `13,029,877`	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
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	1.000	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.000	1.000	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.000	1.000	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.000	1.000	0.000
rs7000782 lBF = `2.68223` Chr`8` : `81,308,150`	0.000	1.000	0.000
rs853308 lBF = `1.42537` Chr`8` : `133,929,917`	0.000	1.000	0.000
rs60461555 lBF = `0.511141` Chr`8` : `60,599,331`	0.000	1.000	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.000	1.000	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	1.000	0.000
rs13281609 lBF = `0.0126291` Chr`8` : `115,324,068`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.9061

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.7792

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.7460

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9970

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9757

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9455

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9411

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9302

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9160

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9073

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8783

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8620

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8437

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8409

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8315

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8134

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8111

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7891

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7708

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7631

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7537

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7036

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7028

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6925

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6862

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6611

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6577

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6542

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6186

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6160

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6159

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6157

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6090

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5639

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5557

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5076

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4552

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4486

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4164

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4070

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4025

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3911

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3875

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3692

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3604

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3600

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3552

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3502

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3274

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2879

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2790

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2389

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2279

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2141

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1897

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1758

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1560

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1239

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1234

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1194

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1178

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.1081

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1052

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0834

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0561

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0558

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0520

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`)