TreeWAS – [Z92.0] Personal history of contraception

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
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.715	0.285	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.713	0.287	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.697	0.303	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.692	0.308	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.685	0.315	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.683	0.317	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.675	0.325	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.674	0.326	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.328	0.672
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.648	0.352	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.644	0.356	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.632	0.368	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.606	0.393	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.606	0.394	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.578	0.422	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.568	0.432	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.553	0.447	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.542	0.458	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.532	0.468	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.515	0.485	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.492	0.508	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.462	0.537	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.457	0.543	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.431	0.569	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.405	0.594	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.398	0.602	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.387	0.613	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.380	0.620	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.372	0.628	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.351	0.649	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.321	0.679	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.308	0.692	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.304	0.696	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.301	0.699	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.286	0.714	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.241	0.759	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.230	0.770	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.223	0.777	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.217	0.782	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.217	0.783	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.211	0.789	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.192	0.808	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.191	0.809	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.185	0.815	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.177	0.823	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.177	0.823	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.176	0.823	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.163	0.837	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.163	0.837	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.153	0.847	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.150	0.850	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.144	0.856	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.143	0.857	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.133	0.867	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.127	0.873	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.111	0.889	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.109	0.891	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.104	0.896	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.101	0.899	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.092	0.908	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.081	0.918	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.081	0.919	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.920	0.080
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.078	0.922	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.076	0.924	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.070	0.930	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.069	0.931	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.064	0.936	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.063	0.937	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.062	0.938	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.058	0.942	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.058	0.942	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.051	0.949	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.047	0.952	0.001
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.038	0.962	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.038	0.962	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.035	0.965	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.033	0.966	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.032	0.968	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.030	0.970	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.030	0.970	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.029	0.971	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.028	0.972	0.000
rs9643297 lBF = `-0.103169` Chr`8` : `134,483,695`	0.027	0.973	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.023	0.977	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.020	0.980	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.020	0.980	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.020	0.980	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.020	0.980	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.018	0.981	0.000
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.018	0.982	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.017	0.983	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.016	0.983	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.016	0.984	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.016	0.984	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.015	0.985	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.014	0.986	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.014	0.986	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.013	0.987	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.012	0.988	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.012	0.988	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.988	0.012
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.010	0.989	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.006	0.993	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs11778693 lBF = `0.0184763` Chr`8` : `22,462,852`	0.000	0.995	0.005
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.005	0.995	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs3816063 lBF = `0.037678` Chr`8` : `142,161,064`	0.004	0.996	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.004	0.996	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.004	0.996	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.004	0.996	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.004	0.996	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.004	0.996	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.004	0.996	0.000
rs931812 lBF = `-0.0890979` Chr`8` : `101,919,321`	0.000	0.996	0.004
rs2243407 lBF = `0.00350594` Chr`8` : `11,480,457`	0.000	0.997	0.003
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.997	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs6557600 lBF = `-0.0758497` Chr`8` : `22,763,248`	0.000	0.997	0.003
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.003	0.997	0.000
rs4242434 lBF = `0.0831786` Chr`8` : `22,501,830`	0.000	0.997	0.003
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.997	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.002	0.998	0.000
rs10101158 lBF = `-0.123915` Chr`8` : `142,881,966`	0.000	0.998	0.002
rs6474412 lBF = `-0.0471785` Chr`8` : `42,550,498`	0.000	0.998	0.002
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.002	0.998	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.002	0.998	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.002	0.998	0.000
rs4637816 lBF = `0.0835773` Chr`8` : `78,277,473`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs2437772 lBF = `1.06798` Chr`8` : `97,512,977`	0.002	0.998	0.000
rs13256369 lBF = `-0.0319504` Chr`8` : `8,577,379`	0.000	0.998	0.002
rs10448080 lBF = `-0.103552` Chr`8` : `28,604,791`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.998	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.001	0.999	0.000
rs11782824 lBF = `-0.0785949` Chr`8` : `38,781,040`	0.000	0.999	0.001
rs2736345 lBF = `0.0780459` Chr`8` : `11,352,485`	0.000	0.999	0.001
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.000	0.999	0.001
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.001	0.999	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.001	0.999	0.000
rs1531590 lBF = `0.0152584` Chr`8` : `76,036,444`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs2221894 lBF = `-0.0862574` Chr`8` : `28,791,159`	0.001	0.999	0.000
rs17766217 lBF = `0.572149` Chr`8` : `128,504,497`	0.000	0.999	0.001
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs6468049 lBF = `-0.00898003` Chr`8` : `31,342,467`	0.001	0.999	0.000
rs16935110 lBF = `-0.0124358` Chr`8` : `69,730,719`	0.000	0.999	0.001
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs3764796 lBF = `0.00828194` Chr`8` : `17,157,677`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs2071598 lBF = `-0.0176702` Chr`8` : `99,129,507`	0.000	0.999	0.001
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs7832552 lBF = `0.545151` Chr`8` : `110,115,676`	0.000	0.999	0.001
rs28680850 lBF = `-0.07512` Chr`8` : `1,373,720`	0.001	0.999	0.000
rs2511714 lBF = `-0.110272` Chr`8` : `103,578,874`	0.000	0.999	0.001
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	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
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	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
rs191935895 lBF = `0` Chr`8` : `5,267,311`	0.001	0.999	0.001
rs7460090 lBF = `0` Chr`8` : `57,194,163`	0.001	0.999	0.001
rs113660214 lBF = `0` Chr`8` : `977,436`	0.001	0.999	0.001
rs147852159 lBF = `0` Chr`8` : `146,171,164`	0.001	0.999	0.001
rs201734206 lBF = `0` Chr`8` : `73,984,100`	0.001	0.999	0.001
rs192994403 lBF = `0` Chr`8` : `76,211,333`	0.001	0.999	0.001
rs189590409 lBF = `0` Chr`8` : `114,727,602`	0.001	0.999	0.001
rs111754512 lBF = `0` Chr`8` : `24,400,648`	0.001	0.999	0.001
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
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rs804292 lBF = `-0.0513329` Chr`8` : `11,643,915`	0.000	1.000	0.000
rs2979481 lBF = `-0.0576421` Chr`8` : `30,262,786`	0.000	1.000	0.000
rs1523643 lBF = `-0.0580598` Chr`8` : `16,789,235`	0.000	1.000	0.000
rs6559140 lBF = `-0.0639266` Chr`8` : `6,152,919`	0.000	1.000	0.000
rs11781622 lBF = `-0.0749637` Chr`8` : `24,378,741`	0.000	1.000	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	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
rs677330 lBF = `8.55621` Chr`8` : `109,177,572`	0.000	1.000	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.000	1.000	0.000
rs611744 lBF = `7.81856` Chr`8` : `109,228,008`	0.000	1.000	0.000
rs1562430 lBF = `2.29091` Chr`8` : `128,387,852`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs298182 lBF = `0.432076` Chr`8` : `65,303,535`	0.000	1.000	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	1.000	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	1.000	0.000
rs11998649 lBF = `0.0383106` Chr`8` : `22,619,551`	0.000	1.000	0.000
rs10954808 lBF = `0.0319808` Chr`8` : `31,479,623`	0.000	1.000	0.000
rs7004484 lBF = `0.0286376` Chr`8` : `132,934,538`	0.000	1.000	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	1.000	0.000
rs11987758 lBF = `0.0136368` Chr`8` : `2,128,786`	0.000	1.000	0.000
rs6601299 lBF = `0.00974298` Chr`8` : `9,184,691`	0.000	1.000	0.000
rs569688 lBF = `0.00507678` Chr`8` : `60,961,821`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs16904179 lBF = `-0.0207368` Chr`8` : `130,958,951`	0.000	1.000	0.000
rs7007970 lBF = `-0.0250041` Chr`8` : `120,647,929`	0.000	1.000	0.000
rs12682527 lBF = `-0.0265521` Chr`8` : `21,321,004`	0.000	1.000	0.000
rs4075154 lBF = `-0.0319299` Chr`8` : `57,209,246`	0.000	1.000	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	1.000	0.000
rs4705 lBF = `-0.0968574` Chr`8` : `17,500,223`	0.000	1.000	0.000
rs278567 lBF = `-0.0990952` Chr`8` : `94,169,350`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs10216564 lBF = `11.5477` Chr`8` : `77,475,130`	0.000	1.000	0.000
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.000	1.000	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.000	1.000	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	1.000	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	1.000	0.000
rs2121630 lBF = `7.89046` Chr`8` : `128,478,160`	0.000	1.000	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.000	1.000	0.000
rs36068923 lBF = `1.50278` Chr`8` : `111,485,761`	0.000	1.000	0.000
rs17232730 lBF = `1.30095` Chr`8` : `129,537,746`	0.000	1.000	0.000
rs7829759 lBF = `0.0147051` Chr`8` : `3,147,359`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs1594829 lBF = `-0.00694046` Chr`8` : `26,206,077`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs1351356 lBF = `-0.0226904` Chr`8` : `118,600,122`	0.000	1.000	0.000
rs10875423 lBF = `-0.0410514` Chr`8` : `139,301,378`	0.000	1.000	0.000
rs2736871 lBF = `-0.0663409` Chr`8` : `134,475,077`	0.000	1.000	0.000
rs17641971 lBF = `-0.0739026` Chr`8` : `49,884,817`	0.000	1.000	0.000
rs2294025 lBF = `-0.0824955` Chr`8` : `134,145,512`	0.000	1.000	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	1.000	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.000	1.000	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.000	1.000	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.000	1.000	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.000	1.000	0.000
rs17464492 lBF = `10.1677` Chr`8` : `128,342,866`	0.000	1.000	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.000	1.000	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.000	1.000	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	1.000	0.000
rs4871750 lBF = `2.92135` Chr`8` : `127,902,003`	0.000	1.000	0.000
rs2220321 lBF = `2.73724` Chr`8` : `127,911,596`	0.000	1.000	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.000	1.000	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.000	1.000	0.000
rs4642619 lBF = `1.51359` Chr`8` : `111,487,468`	0.000	1.000	0.000
rs367543 lBF = `1.4055` Chr`8` : `9,034,148`	0.000	1.000	0.000
rs10503253 lBF = `0.605522` Chr`8` : `4,180,844`	0.000	1.000	0.000
rs10156309 lBF = `0.136625` Chr`8` : `63,432,792`	0.000	1.000	0.000
rs501344 lBF = `0.0780619` Chr`8` : `103,114,573`	0.000	1.000	0.000
rs13271456 lBF = `0.0579694` Chr`8` : `10,625,246`	0.000	1.000	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs7826906 lBF = `0.0190413` Chr`8` : `121,501,723`	0.000	1.000	0.000
rs2407314 lBF = `0.0128268` Chr`8` : `4,078,353`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs240657 lBF = `-0.00636384` Chr`8` : `15,665,612`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs13268726 lBF = `-0.0085601` Chr`8` : `126,013,134`	0.000	1.000	0.000
rs6422354 lBF = `-0.0143532` Chr`8` : `9,438,720`	0.000	1.000	0.000
rs903614 lBF = `-0.0185564` Chr`8` : `119,830,680`	0.000	1.000	0.000
rs17739794 lBF = `-0.0209347` Chr`8` : `812,946`	0.000	1.000	0.000
rs9314308 lBF = `-0.0247094` Chr`8` : `25,544,679`	0.000	1.000	0.000
rs3763558 lBF = `-0.0260521` Chr`8` : `97,796,731`	0.000	1.000	0.000
rs12542166 lBF = `-0.03426` Chr`8` : `122,982,838`	0.000	1.000	0.000
rs7015630 lBF = `-0.0417055` Chr`8` : `90,875,918`	0.000	1.000	0.000
rs10095849 lBF = `-0.0514005` Chr`8` : `39,408,586`	0.000	1.000	0.000
rs2741335 lBF = `-0.0522161` Chr`8` : `27,337,791`	0.000	1.000	0.000
rs1460163 lBF = `-0.064761` Chr`8` : `80,227,448`	0.000	1.000	0.000
rs10113215 lBF = `-0.0808529` Chr`8` : `60,132,194`	0.000	1.000	0.000
rs4736192 lBF = `-0.0915727` Chr`8` : `139,979,825`	0.000	1.000	0.000
rs1529316 lBF = `-0.0972332` Chr`8` : `3,828,138`	0.000	1.000	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.000	1.000	0.000
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.000	1.000	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.7190

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1091

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0930

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0822

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9977

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9975

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9805

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9759

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9753

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9704

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9700

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9550

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9529

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9507

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9273

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9214

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9000

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8993

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8923

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8892

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8726

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8556

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8478

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8462

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8433

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8346

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8243

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8072

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8053

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8020

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7877

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7868

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7854

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7784

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7716

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7572

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7361

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7169

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7143

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7096

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7055

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6893

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6753

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6581

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6542

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6486

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6485

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6299

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6023

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5964

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5592

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5533

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5517

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5422

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5139

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4709

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4158

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3101

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2769

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2683

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1903

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1741

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1599

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1539

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1518

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1262

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1217

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1190

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1174

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1144

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1060

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0900

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0897

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0842

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0804

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0768

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0709

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0627

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0517

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0517

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`)