TreeWAS – [N87.2] Severe cervical dysplasia, not elsewhere classified

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
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.712	0.288	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.707	0.293	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.689	0.310	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.605	0.395	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.603	0.396	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.569	0.431	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.562	0.438	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.543	0.457	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.524	0.476	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.520	0.480	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.509	0.490	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.509	0.491	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.505	0.495	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.503	0.496	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.502	0.498	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.457	0.543	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.450	0.550	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.422	0.578	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.419	0.580	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.411	0.589	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.408	0.592	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.398	0.602	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.392	0.607	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.385	0.615	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.384	0.615	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.379	0.621	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	0.370	0.630	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.362	0.637	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.318	0.681	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.317	0.683	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.303	0.697	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.284	0.716	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.279	0.721	0.001
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.277	0.723	0.001
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.263	0.736	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.254	0.745	0.001
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.244	0.756	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.243	0.757	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.233	0.766	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.229	0.771	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.215	0.785	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.211	0.788	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.185	0.815	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.178	0.822	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.169	0.831	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.168	0.832	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.161	0.839	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.147	0.853	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.146	0.854	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.136	0.864	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.123	0.876	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.120	0.880	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.116	0.884	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.111	0.889	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.103	0.897	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.097	0.902	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.097	0.903	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.084	0.916	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.083	0.916	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.083	0.917	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.069	0.931	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.063	0.937	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.059	0.941	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.059	0.941	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.951	0.048
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.046	0.953	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.959	0.041
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.035	0.965	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.032	0.968	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.029	0.970	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.017	0.976	0.008
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.024	0.976	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.021	0.978	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.021	0.979	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.019	0.981	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.019	0.981	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.016	0.983	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.014	0.986	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.012	0.988	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.011	0.988	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.011	0.989	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.010	0.990	0.000
rs7014346 lBF = `34.9397` Chr`8` : `128,424,792`	0.000	0.990	0.010
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.010	0.990	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.010	0.990	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.009	0.990	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.008	0.991	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.008	0.992	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.007	0.992	0.001
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.000	0.992	0.007
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.007	0.993	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.007	0.993	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.006	0.993	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.006	0.993	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.006	0.994	0.000
rs3115775 lBF = `0.0195883` Chr`8` : `118,707,726`	0.000	0.994	0.006
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.006	0.994	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.994	0.001
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.994	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.005	0.995	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.005	0.995	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.005	0.995	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.005	0.995	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.005	0.995	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.004	0.995	0.000
rs2978263 lBF = `-0.00965483` Chr`8` : `30,498,859`	0.000	0.996	0.004
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.004	0.996	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.004	0.996	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.004	0.996	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.004	0.996	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.004	0.996	0.000
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.004	0.996	0.000
rs3793427 lBF = `-0.0555615` Chr`8` : `17,143,830`	0.004	0.996	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.000	0.996	0.004
rs7461897 lBF = `-0.0288878` Chr`8` : `26,894,544`	0.004	0.996	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.003	0.996	0.000
rs7000921 lBF = `-0.0634135` Chr`8` : `20,393,206`	0.004	0.996	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.003	0.996	0.000
rs13270892 lBF = `-0.0278743` Chr`8` : `20,497,183`	0.000	0.996	0.004
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.003	0.996	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.003	0.996	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.003	0.996	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.003	0.997	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.003	0.997	0.000
rs10505477 lBF = `58.5637` Chr`8` : `128,407,443`	0.003	0.997	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.003	0.997	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.003	0.997	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.997	0.000
rs2129782 lBF = `-0.0095127` Chr`8` : `89,459,234`	0.003	0.997	0.000
rs2882926 lBF = `-0.0585463` Chr`8` : `63,621,569`	0.003	0.997	0.000
rs17232789 lBF = `-0.0673264` Chr`8` : `122,622,500`	0.000	0.997	0.003
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.000	0.997	0.002
rs3870371 lBF = `-0.0683153` Chr`8` : `122,697,132`	0.003	0.997	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.002	0.997	0.000
rs76115211 lBF = `-0.0328686` Chr`8` : `66,134,454`	0.000	0.997	0.002
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.998	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.002	0.998	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.002	0.998	0.000
rs62494762 lBF = `-0.0668579` Chr`8` : `5,373,540`	0.002	0.998	0.000
rs2046315 lBF = `0.00340521` Chr`8` : `90,211,100`	0.000	0.998	0.002
rs5029317 lBF = `-0.0208752` Chr`8` : `129,126,853`	0.000	0.998	0.002
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.002	0.998	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.002	0.998	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.998	0.000
rs10503887 lBF = `-0.0590776` Chr`8` : `31,633,447`	0.000	0.998	0.002
rs876983 lBF = `-0.140682` Chr`8` : `18,407,858`	0.000	0.998	0.002
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.001	0.998	0.001
rs7009516 lBF = `-0.0314287` Chr`8` : `24,208,847`	0.000	0.998	0.002
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.002	0.998	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.002	0.998	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.002	0.998	0.000
rs5003154 lBF = `1.76117` Chr`8` : `81,986,953`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.002	0.998	0.000
rs16872085 lBF = `0.197457` Chr`8` : `105,957,540`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.998	0.000
rs12546767 lBF = `-0.0108878` Chr`8` : `126,082,565`	0.002	0.998	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.000	0.998	0.001
rs13281291 lBF = `21.3475` Chr`8` : `25,699,664`	0.002	0.998	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.002	0.998	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.001	0.998	0.000
rs7844647 lBF = `1.14055` Chr`8` : `34,503,776`	0.001	0.998	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.001	0.998	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.001	0.998	0.000
rs2638663 lBF = `0.0226118` Chr`8` : `18,673,731`	0.002	0.998	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.001	0.998	0.000
rs13268726 lBF = `-0.0085601` Chr`8` : `126,013,134`	0.001	0.998	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.001	0.999	0.001
rs12216812 lBF = `-0.0208649` Chr`8` : `82,151,747`	0.001	0.999	0.000
rs1870805 lBF = `-0.10755` Chr`8` : `140,995,243`	0.001	0.999	0.000
rs1447295 lBF = `15.7554` Chr`8` : `128,485,038`	0.001	0.999	0.000
rs4871750 lBF = `2.92135` Chr`8` : `127,902,003`	0.000	0.999	0.001
rs4735738 lBF = `0.0576628` Chr`8` : `77,611,625`	0.001	0.999	0.000
rs11989843 lBF = `-0.0413911` Chr`8` : `118,150,993`	0.001	0.999	0.000
rs998731 lBF = `-0.0793837` Chr`8` : `81,095,395`	0.000	0.999	0.001
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.001	0.999	0.000
rs2279590 lBF = `-0.109202` Chr`8` : `27,456,253`	0.001	0.999	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.001	0.999	0.000
rs501344 lBF = `0.0780619` Chr`8` : `103,114,573`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs4242384 lBF = `18.3481` Chr`8` : `128,518,554`	0.001	0.999	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.001	0.999	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.001	0.999	0.000
rs4590408 lBF = `0.0164474` Chr`8` : `96,106,037`	0.001	0.999	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.001	0.999	0.000
rs11986220 lBF = `18.5256` Chr`8` : `128,531,689`	0.000	0.999	0.001
rs2840445 lBF = `-0.050982` Chr`8` : `5,764,942`	0.001	0.999	0.000
rs278567 lBF = `-0.0990952` Chr`8` : `94,169,350`	0.001	0.999	0.000
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.000	0.999	0.001
rs9297357 lBF = `-0.0403271` Chr`8` : `106,142,333`	0.000	0.999	0.001
rs2220321 lBF = `2.73724` Chr`8` : `127,911,596`	0.000	0.999	0.001
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.000	0.999	0.001
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.000	0.999	0.001
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs11994034 lBF = `0.00002044` Chr`8` : `73,070,735`	0.001	0.999	0.000
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rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.999	0.000
rs1264202 lBF = `0.00009129` Chr`8` : `102,227,923`	0.000	0.999	0.001
rs272594 lBF = `-0.0153296` Chr`8` : `81,470,120`	0.001	0.999	0.000
rs984440 lBF = `-0.0265342` Chr`8` : `139,077,728`	0.001	0.999	0.000
rs13272568 lBF = `-0.0313162` Chr`8` : `79,034,459`	0.001	0.999	0.000
rs181166265 lBF = `-0.0396872` Chr`8` : `80,985,035`	0.001	0.999	0.000
rs17321515 lBF = `32.222` Chr`8` : `126,486,409`	0.001	0.999	0.000
rs11781525 lBF = `0.0341254` Chr`8` : `125,721,366`	0.000	0.999	0.000
rs722782 lBF = `0.0164778` Chr`8` : `516,479`	0.000	0.999	0.000
rs17060993 lBF = `-0.0123407` Chr`8` : `26,922,112`	0.000	0.999	0.000
rs10875423 lBF = `-0.0410514` Chr`8` : `139,301,378`	0.000	0.999	0.000
rs12677056 lBF = `-0.0748839` Chr`8` : `113,422,382`	0.000	0.999	0.001
rs1015003 lBF = `-0.102741` Chr`8` : `37,096,059`	0.000	0.999	0.001
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.000	0.999	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.000	0.999	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.000	0.999	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	0.999	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.000	0.999	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	0.999	0.000
rs10096633 lBF = `4.10153` Chr`8` : `19,830,921`	0.000	0.999	0.000
rs2616984 lBF = `0.220998` Chr`8` : `4,483,141`	0.001	0.999	0.000
rs10504906 lBF = `0.0985992` Chr`8` : `92,418,628`	0.000	0.999	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	0.999	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	0.999	0.000
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.000	0.999	0.000
rs7002619 lBF = `-0.0428105` Chr`8` : `16,065,557`	0.000	0.999	0.000
rs11777345 lBF = `-0.0602902` Chr`8` : `5,426,531`	0.000	0.999	0.000
rs7017212 lBF = `-0.0777989` Chr`8` : `10,022,938`	0.000	0.999	0.000
rs12681288 lBF = `-0.123687` Chr`8` : `1,035,152`	0.000	0.999	0.001
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.000	0.999	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.000	0.999	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.000	0.999	0.000
rs17464492 lBF = `10.1677` Chr`8` : `128,342,866`	0.001	0.999	0.000
rs1495741 lBF = `1.19235` Chr`8` : `18,272,881`	0.000	0.999	0.000
rs35246381 lBF = `0.953004` Chr`8` : `18,272,535`	0.000	0.999	0.000
rs4921915 lBF = `0.945068` Chr`8` : `18,272,466`	0.000	0.999	0.000
rs4921913 lBF = `0.911956` Chr`8` : `18,272,377`	0.000	0.999	0.000
rs72725879 lBF = `0.286854` Chr`8` : `128,103,969`	0.000	0.999	0.000
rs17091905 lBF = `0.274818` Chr`8` : `19,849,757`	0.000	0.999	0.000
rs641525 lBF = `0.0234936` Chr`8` : `2,740,502`	0.000	0.999	0.000
rs75545078 lBF = `0.0217198` Chr`8` : `122,950,878`	0.000	0.999	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	0.999	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.000
rs2954793 lBF = `-0.0391283` Chr`8` : `29,106,059`	0.000	0.999	0.000
rs4500123 lBF = `-0.0406507` Chr`8` : `92,970,153`	0.000	0.999	0.000
rs74834049 lBF = `-0.041421` Chr`8` : `13,029,877`	0.000	0.999	0.000
rs10505574 lBF = `-0.0558895` Chr`8` : `132,472,102`	0.000	0.999	0.000
rs28680850 lBF = `-0.07512` Chr`8` : `1,373,720`	0.000	0.999	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.000	0.999	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.000	0.999	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.000	0.999	0.000
rs7000782 lBF = `2.68223` Chr`8` : `81,308,150`	0.000	0.999	0.000
rs2898261 lBF = `1.10657` Chr`8` : `10,958,539`	0.000	0.999	0.000
rs6987004 lBF = `0.261503` Chr`8` : `34,524,003`	0.000	0.999	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.000	0.999	0.000
rs16909318 lBF = `0.170483` Chr`8` : `82,445,224`	0.000	0.999	0.000
rs907121 lBF = `0.11678` Chr`8` : `122,963,215`	0.000	0.999	0.000
rs11777116 lBF = `0.029769` Chr`8` : `24,044,301`	0.000	0.999	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.000	0.999	0.000
rs4922265 lBF = `0.00141826` Chr`8` : `16,996,435`	0.000	0.999	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	0.999	0.000
rs16935110 lBF = `-0.0124358` Chr`8` : `69,730,719`	0.000	0.999	0.000
rs903614 lBF = `-0.0185564` Chr`8` : `119,830,680`	0.000	0.999	0.000
rs332034 lBF = `-0.0244908` Chr`8` : `8,717,007`	0.000	0.999	0.000
rs75200691 lBF = `-0.0532288` Chr`8` : `13,054,869`	0.000	0.999	0.000
rs16910486 lBF = `-0.0606078` Chr`8` : `140,352,359`	0.000	0.999	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.000	0.999	0.000
rs11992171 lBF = `9.07246` Chr`8` : `128,529,933`	0.000	0.999	0.000
rs515071 lBF = `7.87657` Chr`8` : `41,519,462`	0.000	0.999	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	0.999	0.000
rs16935518 lBF = `5.2746` Chr`8` : `70,006,868`	0.000	0.999	0.000
rs4921914 lBF = `1.67362` Chr`8` : `18,272,438`	0.000	0.999	0.000
rs7832232 lBF = `0.38776` Chr`8` : `38,469,303`	0.000	0.999	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	0.999	0.000
rs10956483 lBF = `0.0260254` Chr`8` : `130,572,110`	0.000	0.999	0.000
rs3764796 lBF = `0.00828194` Chr`8` : `17,157,677`	0.000	0.999	0.000
rs1462872 lBF = `0.00560054` Chr`8` : `31,794,109`	0.000	0.999	0.000
rs2609653 lBF = `-0.00331663` Chr`8` : `34,236,992`	0.000	0.999	0.000
rs1594829 lBF = `-0.00694046` Chr`8` : `26,206,077`	0.000	0.999	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	0.999	0.000
rs7003257 lBF = `-0.0304051` Chr`8` : `68,613,390`	0.000	0.999	0.000
rs4738393 lBF = `-0.0579748` Chr`8` : `56,599,777`	0.000	0.999	0.000
rs1529316 lBF = `-0.0972332` Chr`8` : `3,828,138`	0.000	0.999	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.000	1.000	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	1.000	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.000	1.000	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.000	1.000	0.000
rs516946 lBF = `7.57641` Chr`8` : `41,519,248`	0.000	1.000	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	1.000	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.000	1.000	0.000
rs17410962 lBF = `2.05556` Chr`8` : `19,848,080`	0.000	1.000	0.000
rs7841189 lBF = `1.77779` Chr`8` : `19,845,376`	0.000	1.000	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8805

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.8019

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7146

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6856

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6274

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6274

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6263

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5651

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5407

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4833

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4254

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4028

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3390

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3137

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3059

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3043

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2979

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2972

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2800

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2725

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2577

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2395

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2316

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2180

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2094

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1975

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1815

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1721

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1637

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1585

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1518

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1491

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1458

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1449

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1316

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1259

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1073

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0966

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0945

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0869

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.0670

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0606

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`)