TreeWAS – [K31.1] Adult hypertrophic pyloric stenosis

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
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.765	0.235	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.705	0.294	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.701	0.299	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.695	0.305	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.680	0.320	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.635	0.365	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.628	0.372	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.613	0.386	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.607	0.393	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.605	0.395	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.604	0.396	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.580	0.420	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.563	0.437	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	0.439	0.561
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.547	0.453	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.540	0.460	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.529	0.471	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.529	0.471	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.525	0.475	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.502	0.498	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.500	0.500	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.498	0.502	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.486	0.514	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.480	0.520	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.000	0.524	0.476
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.549	0.451
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.447	0.552	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.439	0.560	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.433	0.567	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.433	0.567	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.404	0.596	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.324	0.676	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.323	0.677	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.309	0.691	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.308	0.692	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.306	0.694	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.304	0.695	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.282	0.718	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.282	0.718	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.279	0.721	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.000	0.727	0.273
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.000	0.739	0.260
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.249	0.751	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.235	0.765	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.224	0.776	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.223	0.777	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.199	0.801	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.198	0.801	0.001
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.159	0.840	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.156	0.844	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.148	0.852	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.144	0.855	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.133	0.866	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.127	0.872	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.117	0.882	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.104	0.896	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.091	0.909	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.089	0.911	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.085	0.914	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.085	0.915	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.083	0.917	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.082	0.918	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.079	0.921	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.070	0.930	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.064	0.935	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.057	0.943	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.052	0.947	0.000
rs11166827 lBF = `0.159375` Chr`8` : `139,504,270`	0.051	0.949	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.051	0.949	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.051	0.949	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.050	0.950	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.950	0.049
rs12682527 lBF = `-0.0265521` Chr`8` : `21,321,004`	0.000	0.951	0.049
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.048	0.951	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.046	0.954	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.041	0.959	0.000
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.040	0.959	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.035	0.965	0.000
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.032	0.968	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.029	0.971	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.028	0.971	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.028	0.972	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.026	0.973	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.026	0.974	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.025	0.974	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.024	0.976	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.023	0.976	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.021	0.979	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.021	0.979	0.000
rs2121904 lBF = `5.84292` Chr`8` : `109,379,633`	0.019	0.981	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.983	0.017
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.015	0.984	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.013	0.986	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.012	0.987	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.011	0.989	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.011	0.989	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	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	0.991	0.009
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.009	0.991	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.008	0.992	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.008	0.992	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.007	0.993	0.000
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.007	0.993	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.006	0.993	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.006	0.993	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.006	0.994	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	0.994	0.006
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.006	0.994	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.006	0.994	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.005	0.995	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.005	0.995	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.005	0.995	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.004	0.996	0.000
rs330048 lBF = `2.7217` Chr`8` : `9,087,278`	0.004	0.996	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.004	0.996	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.004	0.996	0.000
rs2468186 lBF = `0.0833698` Chr`8` : `120,200,702`	0.000	0.996	0.004
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.004	0.996	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.003	0.996	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.004	0.996	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.004	0.996	0.000
rs17658378 lBF = `0.180638` Chr`8` : `116,394,075`	0.003	0.996	0.000
rs1425053 lBF = `0.0382757` Chr`8` : `120,212,990`	0.003	0.997	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.003	0.997	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.003	0.997	0.000
rs10435719 lBF = `2.63268` Chr`8` : `11,776,904`	0.000	0.997	0.003
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.003	0.997	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.003	0.997	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.003	0.997	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.003	0.997	0.000
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
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.997	0.000
rs1371867 lBF = `-0.0117682` Chr`8` : `101,330,209`	0.003	0.997	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.002	0.998	0.000
rs2584363 lBF = `-0.0514426` Chr`8` : `108,158,383`	0.000	0.998	0.002
rs2299587 lBF = `0.0207005` Chr`8` : `17,800,769`	0.000	0.998	0.002
rs332034 lBF = `-0.0244908` Chr`8` : `8,717,007`	0.002	0.998	0.000
rs4295623 lBF = `0.788904` Chr`8` : `11,522,784`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.002	0.998	0.000
rs7463166 lBF = `-0.0381616` Chr`8` : `4,833,790`	0.000	0.998	0.002
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.002	0.998	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.002	0.998	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.002	0.998	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.002	0.998	0.000
rs17807624 lBF = `0.633807` Chr`8` : `11,463,015`	0.000	0.998	0.002
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.002	0.998	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.001	0.998	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.002	0.998	0.000
rs1208 lBF = `-0.0928151` Chr`8` : `18,258,316`	0.002	0.998	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.002	0.998	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.001	0.998	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.002	0.998	0.000
rs13281609 lBF = `0.0126291` Chr`8` : `115,324,068`	0.002	0.998	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.001	0.998	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.998	0.001
rs7844919 lBF = `-0.0281267` Chr`8` : `2,226,153`	0.002	0.998	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.001	0.999	0.000
rs11998678 lBF = `9.51692` Chr`8` : `11,830,150`	0.000	0.999	0.001
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.001	0.999	0.000
rs2347503 lBF = `0.00629633` Chr`8` : `32,232,827`	0.001	0.999	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.001	0.999	0.000
rs1478898 lBF = `1.07653` Chr`8` : `11,395,079`	0.001	0.999	0.000
rs10091038 lBF = `0.63362` Chr`8` : `29,360,305`	0.000	0.999	0.001
rs231147 lBF = `0.00450035` Chr`8` : `116,417,563`	0.001	0.999	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs11135910 lBF = `0.678122` Chr`8` : `25,892,142`	0.000	0.999	0.001
rs11786541 lBF = `3.50621` Chr`8` : `9,789,549`	0.001	0.999	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.000	0.999	0.001
rs7821178 lBF = `1.10482` Chr`8` : `78,093,837`	0.000	0.999	0.001
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.001	0.999	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs3105169 lBF = `-0.0153825` Chr`8` : `100,495,639`	0.000	0.999	0.001
rs7014900 lBF = `-0.0607973` Chr`8` : `115,578,307`	0.000	0.999	0.001
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.001	0.999	0.000
rs9942773 lBF = `0.0229848` Chr`8` : `115,121,027`	0.000	0.999	0.001
rs11777116 lBF = `0.029769` Chr`8` : `24,044,301`	0.000	0.999	0.001
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.001
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.001	0.999	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.001	0.999	0.000
rs13255292 lBF = `4.14008` Chr`8` : `129,076,573`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
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rs9987353 lBF = `0.199776` Chr`8` : `9,116,349`	0.000	0.999	0.000
rs4876199 lBF = `0.0206282` Chr`8` : `2,176,910`	0.000	0.999	0.000
rs11778693 lBF = `0.0184763` Chr`8` : `22,462,852`	0.000	0.999	0.000
rs160451 lBF = `0.013616` Chr`8` : `90,662,941`	0.000	0.999	0.000
rs160441 lBF = `0.00901776` Chr`8` : `90,656,988`	0.000	0.999	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.000	0.999	0.000
rs733254 lBF = `-0.0377205` Chr`8` : `135,638,632`	0.000	0.999	0.000
rs2954033 lBF = `27.3604` Chr`8` : `126,493,746`	0.000	1.000	0.000
rs7837688 lBF = `15.6076` Chr`8` : `128,539,360`	0.000	1.000	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs1296028 lBF = `2.87067` Chr`8` : `11,698,747`	0.000	1.000	0.000
rs12549902 lBF = `0.251383` Chr`8` : `41,509,259`	0.000	1.000	0.000
rs2722425 lBF = `0.210439` Chr`8` : `40,484,239`	0.000	1.000	0.000
rs9772881 lBF = `0.00326542` Chr`8` : `142,878,259`	0.000	1.000	0.000
rs6558578 lBF = `-0.0952741` Chr`8` : `1,969,726`	0.000	1.000	0.000
rs4242382 lBF = `18.3507` Chr`8` : `128,517,573`	0.000	1.000	0.000
rs4242384 lBF = `18.3481` Chr`8` : `128,518,554`	0.000	1.000	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	1.000	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.000	1.000	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.000	1.000	0.000
rs7834765 lBF = `0.833868` Chr`8` : `122,275,906`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs72663955 lBF = `-0.00745377` Chr`8` : `71,139,330`	0.000	1.000	0.000
rs10504390 lBF = `-0.0129628` Chr`8` : `66,624,232`	0.000	1.000	0.000
rs1351356 lBF = `-0.0226904` Chr`8` : `118,600,122`	0.000	1.000	0.000
rs11989843 lBF = `-0.0413911` Chr`8` : `118,150,993`	0.000	1.000	0.000
rs2279590 lBF = `-0.109202` Chr`8` : `27,456,253`	0.000	1.000	0.000
rs10103155 lBF = `23.4513` Chr`8` : `25,727,902`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs7829759 lBF = `0.0147051` Chr`8` : `3,147,359`	0.000	1.000	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	1.000	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs7003257 lBF = `-0.0304051` Chr`8` : `68,613,390`	0.000	1.000	0.000
rs4738393 lBF = `-0.0579748` Chr`8` : `56,599,777`	0.000	1.000	0.000
rs218361 lBF = `-0.0958539` Chr`8` : `116,110,725`	0.000	1.000	0.000
rs6991952 lBF = `35.6205` Chr`8` : `25,707,412`	0.000	1.000	0.000
rs2954026 lBF = `24.8282` Chr`8` : `126,484,526`	0.000	1.000	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.000	1.000	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.000	1.000	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	1.000	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	1.000	0.000
rs263238 lBF = `0.00518041` Chr`8` : `131,812,033`	0.000	1.000	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.000	1.000	0.000
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.000	1.000	0.000
rs1532278 lBF = `-0.0888109` Chr`8` : `27,466,315`	0.000	1.000	0.000
rs12155789 lBF = `-0.0968561` Chr`8` : `22,643,707`	0.000	1.000	0.000
rs10448080 lBF = `-0.103552` Chr`8` : `28,604,791`	0.000	1.000	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.000	1.000	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.000	1.000	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	1.000	0.000
rs643955 lBF = `3.05683` Chr`8` : `9,891,254`	0.000	1.000	0.000
rs2466024 lBF = `0.925885` Chr`8` : `128,188,019`	0.000	1.000	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	1.000	0.000
rs907121 lBF = `0.11678` Chr`8` : `122,963,215`	0.000	1.000	0.000
rs2449215 lBF = `0.0947357` Chr`8` : `3,488,338`	0.000	1.000	0.000
rs17057051 lBF = `0.0233128` Chr`8` : `27,227,554`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.000	1.000	0.000
rs4875857 lBF = `-0.0289557` Chr`8` : `2,819,809`	0.000	1.000	0.000
rs113889867 lBF = `-0.0433376` Chr`8` : `80,556,500`	0.000	1.000	0.000
rs10481151 lBF = `-0.0472283` Chr`8` : `124,831,834`	0.000	1.000	0.000
rs11781622 lBF = `-0.0749637` Chr`8` : `24,378,741`	0.000	1.000	0.000
rs980238 lBF = `-0.0774097` Chr`8` : `4,282,618`	0.000	1.000	0.000
rs11136000 lBF = `-0.0932441` Chr`8` : `27,464,519`	0.000	1.000	0.000
rs2220321 lBF = `2.73724` Chr`8` : `127,911,596`	0.000	1.000	0.000
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.000	1.000	0.000
rs9987289 lBF = `1.05596` Chr`8` : `9,183,358`	0.000	1.000	0.000
rs10097669 lBF = `0.53036` Chr`8` : `4,437,465`	0.000	1.000	0.000
rs10505648 lBF = `0.117186` Chr`8` : `137,156,450`	0.000	1.000	0.000
rs4242434 lBF = `0.0831786` Chr`8` : `22,501,830`	0.000	1.000	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	1.000	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.000	1.000	0.000
rs3816063 lBF = `0.037678` Chr`8` : `142,161,064`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs4590408 lBF = `0.0164474` Chr`8` : `96,106,037`	0.000	1.000	0.000
rs7822239 lBF = `-0.00253758` Chr`8` : `133,119,961`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs2741335 lBF = `-0.0522161` Chr`8` : `27,337,791`	0.000	1.000	0.000
rs2645424 lBF = `-0.0610044` Chr`8` : `11,684,463`	0.000	1.000	0.000
rs7465272 lBF = `-0.0778937` Chr`8` : `143,691,838`	0.000	1.000	0.000
rs112875651 lBF = `33.8974` Chr`8` : `126,506,694`	0.000	1.000	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.000	1.000	0.000
rs13258681 lBF = `7.41684` Chr`8` : `124,714,722`	0.000	1.000	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.000	1.000	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.000	1.000	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.000	1.000	0.000
rs800586 lBF = `0.947739` Chr`8` : `116,813,905`	0.000	1.000	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.000	1.000	0.000
rs975730 lBF = `0.41531` Chr`8` : `129,316,014`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	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

0.6572

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9689

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9600

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9584

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9580

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9394

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9286

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9153

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9133

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8973

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8809

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8776

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8723

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8441

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8091

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7930

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7870

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7794

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7773

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7763

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7716

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7619

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7315

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7279

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7141

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7127

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6625

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6378

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6344

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6049

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5658

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5508

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5320

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5213

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5071

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4863

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4324

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4022

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3975

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3539

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3281

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3215

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3156

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2986

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2843

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2827

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2723

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2694

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2549

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2338

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2083

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2017

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1595

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1413

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.1379

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1283

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1174

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1170

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1034

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1030

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0975

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0964

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0772

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`)