TreeWAS – [Z80.3] Family history of malignant neoplasm of breast

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
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.833	0.167	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.734	0.265	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.727	0.273	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.621	0.378	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.619	0.381	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.616	0.383	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.614	0.386	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.584	0.416	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.567	0.433	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.556	0.444	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.550	0.450	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.548	0.452	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.516	0.484	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.490	0.510
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.509	0.491	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.507	0.493	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.491	0.509	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.482	0.518	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.439	0.561	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.438	0.562	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.423	0.577	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.422	0.578	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.390	0.610	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.372	0.628	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.365	0.635	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.352	0.648	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.319	0.681	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.310	0.690	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.309	0.690	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.282	0.718	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.281	0.719	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.279	0.721	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.272	0.728	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.270	0.729	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.250	0.750	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.245	0.755	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.244	0.756	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.228	0.772	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.211	0.788	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.209	0.791	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.208	0.792	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.205	0.794	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.191	0.809	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.186	0.814	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.178	0.822	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.177	0.822	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.176	0.823	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.140	0.860	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.133	0.867	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.120	0.880	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.120	0.880	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.118	0.882	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.117	0.882	0.001
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.106	0.894	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.097	0.902	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.088	0.911	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.081	0.918	0.001
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.920	0.079
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.075	0.925	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.070	0.930	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.066	0.934	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.062	0.938	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.057	0.943	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.055	0.944	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.051	0.947	0.002
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.051	0.949	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.051	0.949	0.000
rs2392780 lBF = `2.24613` Chr`8` : `128,388,025`	0.000	0.953	0.047
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.046	0.954	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.044	0.956	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.043	0.956	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.042	0.958	0.001
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.040	0.960	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.039	0.960	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.038	0.961	0.001
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.038	0.962	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.036	0.964	0.000
rs1562430 lBF = `2.29091` Chr`8` : `128,387,852`	0.000	0.965	0.035
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.033	0.967	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.032	0.967	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.030	0.970	0.001
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.025	0.975	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.020	0.980	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.017	0.981	0.003
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.019	0.981	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.018	0.982	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.016	0.984	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.015	0.985	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.014	0.985	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.014	0.986	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.013	0.987	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.011	0.988	0.001
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.011	0.988	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.011	0.989	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.011	0.989	0.000
rs4732812 lBF = `0.155874` Chr`8` : `27,923,388`	0.000	0.989	0.011
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.010	0.990	0.001
rs2195588 lBF = `-0.0291008` Chr`8` : `40,356,700`	0.010	0.990	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.010	0.990	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.010	0.990	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.991	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.008	0.992	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.007	0.992	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.007	0.993	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.007	0.993	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.994	0.006
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.006	0.994	0.000
rs2609653 lBF = `-0.00331663` Chr`8` : `34,236,992`	0.000	0.994	0.006
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.006	0.994	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.005	0.995	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.005	0.995	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.005	0.995	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.005	0.995	0.000
rs6473383 lBF = `-0.0244863` Chr`8` : `83,669,120`	0.000	0.995	0.005
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs7828501 lBF = `-0.0661358` Chr`8` : `4,560,081`	0.000	0.996	0.004
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.004	0.996	0.000
rs2944755 lBF = `0.0852789` Chr`8` : `141,574,194`	0.000	0.996	0.004
rs7820074 lBF = `-0.0388993` Chr`8` : `82,928,598`	0.004	0.996	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.004	0.996	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.004	0.996	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.004	0.996	0.000
rs10958476 lBF = `0.00838987` Chr`8` : `57,095,808`	0.000	0.996	0.004
rs2943559 lBF = `-0.0440886` Chr`8` : `76,417,937`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.003	0.997	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.003	0.997	0.000
rs6982636 lBF = `31.1136` Chr`8` : `126,479,315`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs10097215 lBF = `-0.0245582` Chr`8` : `2,506,899`	0.000	0.997	0.003
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.002	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.002	0.997	0.000
rs2954029 lBF = `31.8759` Chr`8` : `126,490,972`	0.003	0.997	0.000
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.002	0.997	0.000
rs17321515 lBF = `32.222` Chr`8` : `126,486,409`	0.002	0.998	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.002	0.998	0.000
rs2172820 lBF = `-0.0482136` Chr`8` : `15,325,668`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.000	0.998	0.002
rs1030420 lBF = `0.105037` Chr`8` : `67,360,725`	0.000	0.998	0.002
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.998	0.002
rs6990255 lBF = `-0.0284721` Chr`8` : `34,126,948`	0.002	0.998	0.000
rs10957550 lBF = `-0.00048974` Chr`8` : `72,294,588`	0.002	0.998	0.000
rs12680842 lBF = `0.0437133` Chr`8` : `95,582,606`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.002	0.998	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.002	0.998	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	0.998	0.002
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	0.998	0.002
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.002	0.998	0.000
rs2954021 lBF = `31.369` Chr`8` : `126,482,077`	0.002	0.998	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.001	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs6982502 lBF = `30.0104` Chr`8` : `126,479,362`	0.000	0.999	0.001
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.001	0.999	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.001	0.999	0.000
rs2002030 lBF = `-0.0219667` Chr`8` : `11,276,542`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.001	0.999	0.000
rs2247572 lBF = `0.0484154` Chr`8` : `73,633,028`	0.000	0.999	0.001
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs2001846 lBF = `27.8908` Chr`8` : `126,478,450`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs2001945 lBF = `27.7438` Chr`8` : `126,477,978`	0.000	0.999	0.001
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.001	0.999	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.000	0.999	0.001
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs2014357 lBF = `0.0898175` Chr`8` : `133,103,290`	0.001	0.999	0.000
rs11780156 lBF = `0.562409` Chr`8` : `129,194,641`	0.001	0.999	0.000
rs10958605 lBF = `0.00350909` Chr`8` : `40,053,605`	0.000	0.999	0.001
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.999	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs2954031 lBF = `29.4155` Chr`8` : `126,491,733`	0.001	0.999	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.999	0.001
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	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
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.000	0.999	0.001
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	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
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
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
rs1845529 lBF = `0` Chr`8` : `116,163,863`	0.001	0.999	0.001
rs113414285 lBF = `0` Chr`8` : `24,395,263`	0.001	0.999	0.001
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rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	1.000	0.000
rs11785400 lBF = `0.145866` Chr`8` : `143,730,456`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.000	1.000	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.000	1.000	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	1.000	0.000
rs881301 lBF = `-0.0216293` Chr`8` : `38,332,318`	0.000	1.000	0.000
rs12680546 lBF = `-0.0687005` Chr`8` : `136,871,739`	0.000	1.000	0.000
rs2950160 lBF = `-0.0768393` Chr`8` : `4,420,188`	0.000	1.000	0.000
rs10448080 lBF = `-0.103552` Chr`8` : `28,604,791`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs17667932 lBF = `0.20904` Chr`8` : `118,549,376`	0.000	1.000	0.000
rs2945733 lBF = `0.110693` Chr`8` : `134,615,750`	0.000	1.000	0.000
rs112505062 lBF = `-0.0224138` Chr`8` : `96,293,103`	0.000	1.000	0.000
rs1604897 lBF = `-0.0224457` Chr`8` : `122,182,310`	0.000	1.000	0.000
rs73660619 lBF = `-0.042229` Chr`8` : `3,088,173`	0.000	1.000	0.000
rs113889867 lBF = `-0.0433376` Chr`8` : `80,556,500`	0.000	1.000	0.000
rs13276960 lBF = `-0.0479738` Chr`8` : `103,908,004`	0.000	1.000	0.000
rs1587409 lBF = `-0.0532446` Chr`8` : `118,263,732`	0.000	1.000	0.000
rs10097555 lBF = `-0.0673728` Chr`8` : `32,346,295`	0.000	1.000	0.000
rs2738113 lBF = `-0.0948756` Chr`8` : `6,829,085`	0.000	1.000	0.000
rs2954020 lBF = `28.9243` Chr`8` : `126,481,952`	0.000	1.000	0.000
rs2980879 lBF = `27.5408` Chr`8` : `126,481,475`	0.000	1.000	0.000
rs4256596 lBF = `10.5421` Chr`8` : `25,689,123`	0.000	1.000	0.000
rs77210013 lBF = `9.66331` Chr`8` : `101,022,381`	0.000	1.000	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.000	1.000	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.000	1.000	0.000
rs445114 lBF = `7.32631` Chr`8` : `128,323,181`	0.000	1.000	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.000	1.000	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.000	1.000	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.000	1.000	0.000
rs298182 lBF = `0.432076` Chr`8` : `65,303,535`	0.000	1.000	0.000
rs7829987 lBF = `0.132573` Chr`8` : `17,462,222`	0.000	1.000	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.000	1.000	0.000
rs2129782 lBF = `-0.0095127` Chr`8` : `89,459,234`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.000	1.000	0.000
rs7008026 lBF = `-0.0355462` Chr`8` : `70,950,280`	0.000	1.000	0.000
rs6468442 lBF = `-0.0719252` Chr`8` : `37,686,749`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.000	1.000	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	1.000	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.000	1.000	0.000
rs10216709 lBF = `6.56846` Chr`8` : `126,472,487`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs55705857 lBF = `0.0449335` Chr`8` : `130,645,692`	0.000	1.000	0.000
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.000	1.000	0.000
rs11136341 lBF = `0.0141972` Chr`8` : `145,043,543`	0.000	1.000	0.000
rs16936870 lBF = `0.00222212` Chr`8` : `71,189,342`	0.000	1.000	0.000
rs11787111 lBF = `-0.00819103` Chr`8` : `65,192,451`	0.000	1.000	0.000
rs7010162 lBF = `-0.0111381` Chr`8` : `70,976,505`	0.000	1.000	0.000
rs17060993 lBF = `-0.0123407` Chr`8` : `26,922,112`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs77265424 lBF = `-0.0328043` Chr`8` : `5,227,102`	0.000	1.000	0.000
rs144606178 lBF = `-0.0402931` Chr`8` : `1,299,878`	0.000	1.000	0.000
rs383592 lBF = `-0.0854935` Chr`8` : `90,804,328`	0.000	1.000	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	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
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.000	1.000	0.000
rs622856 lBF = `8.44713` Chr`8` : `128,333,180`	0.000	1.000	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	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
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	1.000	0.000
rs2977125 lBF = `0.159036` Chr`8` : `12,773,256`	0.000	1.000	0.000
rs111703385 lBF = `0.13607` Chr`8` : `8,499,516`	0.000	1.000	0.000
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.000	1.000	0.000
rs1531590 lBF = `0.0152584` Chr`8` : `76,036,444`	0.000	1.000	0.000
rs1462872 lBF = `0.00560054` Chr`8` : `31,794,109`	0.000	1.000	0.000
rs13340561 lBF = `-0.00345309` Chr`8` : `16,058,905`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.000	1.000	0.000
rs2860223 lBF = `-0.0335866` Chr`8` : `134,668,677`	0.000	1.000	0.000
rs16918254 lBF = `-0.0365552` Chr`8` : `53,769,213`	0.000	1.000	0.000
rs2622590 lBF = `-0.0395154` Chr`8` : `56,358,274`	0.000	1.000	0.000
rs10503887 lBF = `-0.0590776` Chr`8` : `31,633,447`	0.000	1.000	0.000
rs931812 lBF = `-0.0890979` Chr`8` : `101,919,321`	0.000	1.000	0.000
rs12541635 lBF = `-0.100957` Chr`8` : `107,090,000`	0.000	1.000	0.000
rs10088262 lBF = `-0.10496` Chr`8` : `124,765,702`	0.000	1.000	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.000	1.000	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.000	1.000	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.000	1.000	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	1.000	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.000	1.000	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs7017914 lBF = `1.95556` Chr`8` : `71,591,203`	0.000	1.000	0.000
rs7816345 lBF = `1.73833` Chr`8` : `36,846,109`	0.000	1.000	0.000
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs10097731 lBF = `0.231731` Chr`8` : `82,027,672`	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 X0241

log Bayes Factor = 99.1616

contains 6 variants

0.8317

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7319

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4226

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0291

log Bayes Factor = 303.055

contains 4 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9990

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9958

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9950

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9904

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9481

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8927

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8603

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8178

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7789

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6947

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6555

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6364

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5993

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5916

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5574

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5118

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5021

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4843

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4520

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4104

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4058

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3929

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3839

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3749

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3214

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3060

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2664

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2182

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2152

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1769

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1406

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1264

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1241

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1224

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1167

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1099

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1031

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0870

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0853

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0786

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0759

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0741

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0715

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0710

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0637

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0567

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`)