TreeWAS – [N84.3] Polyp of vulva

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
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.695	0.305	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.682	0.317	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.557	0.443	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.519	0.481	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.503	0.497	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.500	0.499	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.487	0.513	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.449	0.550	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.436	0.564	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.436	0.564	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.435	0.565	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.425	0.575	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.409	0.591	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.396	0.604	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.394	0.606	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.368	0.632	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.358	0.642	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.356	0.643	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.353	0.647	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.348	0.652	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.319	0.680	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.319	0.681	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.312	0.687	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.292	0.708	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.283	0.717	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.257	0.743	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.244	0.756	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.225	0.774	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.224	0.775	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.219	0.781	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.216	0.784	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.212	0.787	0.001
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.210	0.789	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.201	0.799	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.184	0.816	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.179	0.821	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.175	0.825	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.166	0.833	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.163	0.837	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.163	0.837	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.161	0.839	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.152	0.848	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.134	0.866	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.121	0.879	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.116	0.884	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.114	0.886	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.099	0.901	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.086	0.914	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.085	0.915	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.084	0.916	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.082	0.918	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.081	0.918	0.000
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.076	0.924	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.075	0.924	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.075	0.925	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.072	0.927	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.064	0.936	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.063	0.937	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.062	0.938	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.061	0.938	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.059	0.940	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.055	0.945	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	0.055	0.945	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.054	0.946	0.001
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.950	0.050
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.952	0.048
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.046	0.954	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.043	0.956	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.031	0.969	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.029	0.971	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.025	0.975	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.017	0.977	0.006
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.016	0.984	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.016	0.984	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.015	0.985	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.014	0.986	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.000	0.986	0.014
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.013	0.986	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.013	0.987	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.012	0.988	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.011	0.988	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.010	0.990	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.009	0.991	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.009	0.991	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.008	0.992	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.008	0.992	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.007	0.993	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs35820208 lBF = `-0.0322041` Chr`8` : `94,916,103`	0.000	0.993	0.007
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.006	0.994	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.006	0.994	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.000	0.994	0.006
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.006	0.994	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.001
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.005	0.995	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.005	0.995	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.005	0.995	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.004	0.995	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.004	0.995	0.000
rs9772881 lBF = `0.00326542` Chr`8` : `142,878,259`	0.004	0.995	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.004	0.995	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.004	0.996	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.004	0.996	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.004	0.996	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.003	0.996	0.001
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.004	0.996	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.003	0.996	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.003	0.997	0.000
rs2162460 lBF = `5.78382` Chr`8` : `59,331,781`	0.000	0.997	0.003
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.000	0.997	0.003
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.003	0.997	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.003	0.997	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.997	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.003	0.997	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.003	0.997	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.002	0.997	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.002	0.997	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.002	0.997	0.000
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.002	0.998	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.998	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.002	0.998	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.002	0.998	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.998	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.001	0.998	0.001
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.002	0.998	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.002	0.998	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.002	0.998	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.002	0.998	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.002	0.998	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.002	0.998	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.002	0.998	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.001	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.998	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.000	0.998	0.001
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.001	0.998	0.001
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.001	0.998	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.001	0.998	0.001
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.001	0.998	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.001	0.999	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.999	0.001
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.001	0.999	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.001	0.999	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.001	0.999	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.001	0.999	0.000
rs2975734 lBF = `-0.0286243` Chr`8` : `10,090,097`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs2014357 lBF = `0.0898175` Chr`8` : `133,103,290`	0.000	0.999	0.001
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.001	0.999	0.000
rs11994034 lBF = `0.00002044` Chr`8` : `73,070,735`	0.001	0.999	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.001	0.999	0.000
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.000	0.999	0.001
rs13254600 lBF = `-0.0862594` Chr`8` : `124,089,526`	0.000	0.999	0.001
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.001	0.999	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.000	0.999	0.001
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.999	0.001
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs16902460 lBF = `-0.00013523` Chr`8` : `128,920,197`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs3108919 lBF = `-0.0535203` Chr`8` : `101,841,546`	0.001	0.999	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs12542677 lBF = `0.00006733` Chr`8` : `56,168,059`	0.000	0.999	0.001
rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.000	0.999	0.001
rs190951784 lBF = `0.00003382` Chr`8` : `25,131,523`	0.001	0.999	0.000
rs73318770 lBF = `0.00000446` Chr`8` : `74,362,915`	0.001	0.999	0.000
rs183191361 lBF = `0` Chr`8` : `76,083,247`	0.001	0.999	0.001
rs79781504 lBF = `0` Chr`8` : `84,750,057`	0.001	0.999	0.001
rs116041037 lBF = `0` Chr`8` : `128,131,809`	0.001	0.999	0.001
rs182302106 lBF = `0` Chr`8` : `1,455,175`	0.001	0.999	0.001
rs187636186 lBF = `0` Chr`8` : `73,002,468`	0.001	0.999	0.001
rs182115318 lBF = `0` Chr`8` : `25,128,723`	0.001	0.999	0.001
rs16902104 lBF = `0` Chr`8` : `128,340,908`	0.001	0.999	0.001
rs141395649 lBF = `0` Chr`8` : `6,498,690`	0.001	0.999	0.001
rs114252942 lBF = `0` Chr`8` : `6,202,964`	0.001	0.999	0.001
rs116129203 lBF = `0` Chr`8` : `6,779,323`	0.001	0.999	0.001
rs114258913 lBF = `0` Chr`8` : `93,525,403`	0.001	0.999	0.001
rs150435906 lBF = `0` Chr`8` : `66,864,338`	0.001	0.999	0.001
rs144424757 lBF = `0` Chr`8` : `12,929,793`	0.001	0.999	0.001
rs4128527 lBF = `0` Chr`8` : `72,682,693`	0.001	0.999	0.001
rs11989122 lBF = `0` Chr`8` : `118,827,839`	0.001	0.999	0.001
rs11986011 lBF = `0` Chr`8` : `127,332,657`	0.001	0.999	0.001
rs191631123 lBF = `0` Chr`8` : `32,443,704`	0.001	0.999	0.001
rs1845529 lBF = `0` Chr`8` : `116,163,863`	0.001	0.999	0.001
rs182838111 lBF = `0` Chr`8` : `67,889,470`	0.001	0.999	0.001
rs113414285 lBF = `0` Chr`8` : `24,395,263`	0.001	0.999	0.001
rs192074192 lBF = `0` Chr`8` : `73,025,833`	0.001	0.999	0.001
rs73313124 lBF = `0` Chr`8` : `110,478,822`	0.001	0.999	0.001
rs182387400 lBF = `0` Chr`8` : `25,129,708`	0.001	0.999	0.001
rs143335239 lBF = `0` Chr`8` : `6,500,809`	0.001	0.999	0.001
rs147851892 lBF = `0` Chr`8` : `24,234,355`	0.001	0.999	0.001
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rs13271465 lBF = `-0.00893756` Chr`8` : `17,282,411`	0.000	1.000	0.000
rs10504390 lBF = `-0.0129628` Chr`8` : `66,624,232`	0.000	1.000	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.000	1.000	0.000
rs12681963 lBF = `-0.0465827` Chr`8` : `29,982,518`	0.000	1.000	0.000
rs2584363 lBF = `-0.0514426` Chr`8` : `108,158,383`	0.000	1.000	0.000
rs6469656 lBF = `-0.0614109` Chr`8` : `117,647,788`	0.000	1.000	0.000
rs921720 lBF = `-0.07194` Chr`8` : `126,534,671`	0.000	1.000	0.000
rs10956252 lBF = `-0.0720595` Chr`8` : `126,536,137`	0.000	1.000	0.000
rs12541335 lBF = `-0.0974774` Chr`8` : `22,088,432`	0.000	1.000	0.000
rs10505477 lBF = `58.5637` Chr`8` : `128,407,443`	0.000	1.000	0.000
rs2954038 lBF = `34.2663` Chr`8` : `126,507,389`	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
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.000	1.000	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.000	1.000	0.000
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.000	1.000	0.000
rs440837 lBF = `2.52151` Chr`8` : `81,461,974`	0.000	1.000	0.000
rs2045966 lBF = `0.188035` Chr`8` : `98,594,154`	0.000	1.000	0.000
rs7005380 lBF = `0.0580762` Chr`8` : `120,953,873`	0.000	1.000	0.000
rs1478897 lBF = `0.0531578` Chr`8` : `11,395,232`	0.000	1.000	0.000
rs2648875 lBF = `0.0245957` Chr`8` : `129,072,161`	0.000	1.000	0.000
rs11995824 lBF = `0.00378026` Chr`8` : `120,012,700`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs7844919 lBF = `-0.0281267` Chr`8` : `2,226,153`	0.000	1.000	0.000
rs2705293 lBF = `-0.0399492` Chr`8` : `138,918,945`	0.000	1.000	0.000
rs7818382 lBF = `-0.0469083` Chr`8` : `96,054,000`	0.000	1.000	0.000
rs17373728 lBF = `-0.0670443` Chr`8` : `76,225,516`	0.000	1.000	0.000
rs1551398 lBF = `-0.0695463` Chr`8` : `126,540,051`	0.000	1.000	0.000
rs12681792 lBF = `-0.0722975` Chr`8` : `62,054,463`	0.000	1.000	0.000
rs12541437 lBF = `-0.072864` Chr`8` : `117,918,897`	0.000	1.000	0.000
rs4871611 lBF = `-0.0740677` Chr`8` : `126,537,570`	0.000	1.000	0.000
rs10504554 lBF = `-0.0845531` Chr`8` : `74,919,713`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.000	1.000	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.000	1.000	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.000	1.000	0.000
Affx-31406520 lBF = `9.74408` Chr`8` : `117,783,975`	0.000	1.000	0.000
rs11992171 lBF = `9.07246` Chr`8` : `128,529,933`	0.000	1.000	0.000
rs7813489 lBF = `9.06018` Chr`8` : `25,749,405`	0.000	1.000	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	1.000	0.000
rs611744 lBF = `7.81856` Chr`8` : `109,228,008`	0.000	1.000	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.000	1.000	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.000	1.000	0.000
rs10096633 lBF = `4.10153` Chr`8` : `19,830,921`	0.000	1.000	0.000
rs4733613 lBF = `0.769072` Chr`8` : `129,599,278`	0.000	1.000	0.000
rs6988636 lBF = `0.592889` Chr`8` : `124,185,970`	0.000	1.000	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.000	1.000	0.000
rs4545046 lBF = `0.327938` Chr`8` : `27,556,526`	0.000	1.000	0.000
rs10086568 lBF = `0.258841` Chr`8` : `6,900,336`	0.000	1.000	0.000
rs7815720 lBF = `0.203389` Chr`8` : `118,089,513`	0.000	1.000	0.000
rs2575029 lBF = `0.0877916` Chr`8` : `31,174,830`	0.000	1.000	0.000
rs1532423 lBF = `0.0695994` Chr`8` : `86,268,313`	0.000	1.000	0.000
rs16939046 lBF = `0.0561149` Chr`8` : `76,147,954`	0.000	1.000	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs4272382 lBF = `-0.00807291` Chr`8` : `8,433,488`	0.000	1.000	0.000
rs7015630 lBF = `-0.0417055` Chr`8` : `90,875,918`	0.000	1.000	0.000
rs804292 lBF = `-0.0513329` Chr`8` : `11,643,915`	0.000	1.000	0.000
rs12681420 lBF = `-0.0543937` Chr`8` : `71,593,198`	0.000	1.000	0.000
rs17786744 lBF = `-0.0575992` Chr`8` : `23,777,006`	0.000	1.000	0.000
rs7845127 lBF = `-0.0602147` Chr`8` : `18,067,395`	0.000	1.000	0.000
rs7000921 lBF = `-0.0634135` Chr`8` : `20,393,206`	0.000	1.000	0.000
rs17641971 lBF = `-0.0739026` Chr`8` : `49,884,817`	0.000	1.000	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.000	1.000	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.000	1.000	0.000
rs56005245 lBF = `9.35561` Chr`8` : `128,113,426`	0.000	1.000	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	1.000	0.000
rs526533 lBF = `8.02143` Chr`8` : `102,891,233`	0.000	1.000	0.000
rs631031 lBF = `7.78806` Chr`8` : `109,190,032`	0.000	1.000	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.000	1.000	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.000	1.000	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.000	1.000	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.000	1.000	0.000
rs17807624 lBF = `0.633807` Chr`8` : `11,463,015`	0.000	1.000	0.000
rs16868941 lBF = `0.561921` Chr`8` : `103,052,377`	0.000	1.000	0.000
rs60461555 lBF = `0.511141` Chr`8` : `60,599,331`	0.000	1.000	0.000
rs7845219 lBF = `0.375637` Chr`8` : `95,937,502`	0.000	1.000	0.000
rs500816 lBF = `0.296843` Chr`8` : `20,803,103`	0.000	1.000	0.000
rs2553268 lBF = `0.231053` Chr`8` : `30,936,356`	0.000	1.000	0.000
rs16909318 lBF = `0.170483` Chr`8` : `82,445,224`	0.000	1.000	0.000
rs11995854 lBF = `0.120065` Chr`8` : `129,220,073`	0.000	1.000	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.000	1.000	0.000
rs2736345 lBF = `0.0780459` Chr`8` : `11,352,485`	0.000	1.000	0.000
rs13271456 lBF = `0.0579694` Chr`8` : `10,625,246`	0.000	1.000	0.000
rs2019960 lBF = `0.040114` Chr`8` : `129,192,271`	0.000	1.000	0.000
rs2299587 lBF = `0.0207005` Chr`8` : `17,800,769`	0.000	1.000	0.000
rs2243407 lBF = `0.00350594` Chr`8` : `11,480,457`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs1264202 lBF = `0.00009129` Chr`8` : `102,227,923`	0.000	1.000	0.000
rs263232 lBF = `-0.00009044` Chr`8` : `131,808,169`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.6818

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7397

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7360

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7003

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7001

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6757

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6613

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6567

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5220

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.4991

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4976

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4955

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4735

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4492

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4342

Cluster X0260

log Bayes Factor = 16.5601

contains 2 variants

0.4318

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4286

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3911

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3846

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3793

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3648

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3380

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3358

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3212

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3111

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2964

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2959

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2650

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2632

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2600

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2200

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1958

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1763

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1662

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1655

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1611

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1301

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1245

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1156

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1127

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1024

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0869

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0843

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0697

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0676

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0536

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0532

Cluster X0150

log Bayes Factor = 861.091

contains 26 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`)