TreeWAS – [Z91.5] Personal history of self-harm

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
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.938	0.062	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.848	0.152	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.845	0.155	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.803	0.197	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.779	0.221	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.760	0.240	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.759	0.241	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.721	0.279	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.714	0.286	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.710	0.290	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.706	0.294	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.663	0.337	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.580	0.420	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.545	0.455	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.531	0.469	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.517	0.483	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.516	0.484	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.510	0.490	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.491	0.509	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.466	0.534	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.465	0.535	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.459	0.540	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.455	0.545	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.427	0.572	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.426	0.574	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.578	0.421
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.421	0.579	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.418	0.582	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.416	0.584	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.414	0.586	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.405	0.595	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.396	0.604	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.386	0.614	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.386	0.614	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.371	0.629	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.345	0.655	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.340	0.660	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.338	0.662	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.338	0.662	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.336	0.664	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.330	0.669	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.313	0.687	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.306	0.693	0.001
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.303	0.697	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.292	0.708	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.291	0.709	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.281	0.719	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.277	0.722	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.277	0.723	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.270	0.729	0.001
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.258	0.742	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.253	0.746	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.240	0.759	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.209	0.791	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.203	0.796	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.202	0.798	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.179	0.821	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.175	0.825	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.164	0.836	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.161	0.839	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.151	0.849	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.150	0.850	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.142	0.856	0.002
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.134	0.865	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.129	0.871	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.109	0.891	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.098	0.901	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.092	0.908	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.088	0.912	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.087	0.912	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.916	0.083
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.076	0.924	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.071	0.929	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.071	0.929	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.069	0.931	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.066	0.934	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.057	0.942	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.053	0.947	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.048	0.952	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.043	0.957	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.042	0.958	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.038	0.962	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.037	0.963	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.036	0.964	0.000
rs10503672 lBF = `-0.0327502` Chr`8` : `19,987,703`	0.030	0.970	0.000
rs2270875 lBF = `-0.0147127` Chr`8` : `132,999,936`	0.029	0.971	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.027	0.973	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.026	0.974	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.025	0.975	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.022	0.977	0.001
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.022	0.978	0.000
rs7839059 lBF = `0.472635` Chr`8` : `119,976,542`	0.000	0.979	0.021
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.021	0.979	0.000
rs11135910 lBF = `0.678122` Chr`8` : `25,892,142`	0.020	0.980	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.019	0.981	0.000
rs6982250 lBF = `-0.0570396` Chr`8` : `70,412,450`	0.018	0.982	0.000
rs11782652 lBF = `-0.0242561` Chr`8` : `82,653,644`	0.000	0.982	0.018
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.017	0.983	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.016	0.983	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.016	0.984	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.016	0.984	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.015	0.985	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.015	0.985	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.015	0.985	0.000
rs445114 lBF = `7.32631` Chr`8` : `128,323,181`	0.000	0.987	0.013
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.012	0.988	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.010	0.989	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.010	0.989	0.001
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.990	0.009
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs16936870 lBF = `0.00222212` Chr`8` : `71,189,342`	0.000	0.991	0.009
rs7014382 lBF = `6.1756` Chr`8` : `69,991,586`	0.000	0.991	0.009
rs4875320 lBF = `-0.0133141` Chr`8` : `4,164,013`	0.000	0.991	0.009
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.009	0.991	0.000
rs1296028 lBF = `2.87067` Chr`8` : `11,698,747`	0.000	0.991	0.009
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.008	0.992	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs7816613 lBF = `0.0252555` Chr`8` : `102,729,475`	0.000	0.993	0.007
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.007	0.993	0.000
rs2975734 lBF = `-0.0286243` Chr`8` : `10,090,097`	0.006	0.994	0.000
rs1018836 lBF = `1.5813` Chr`8` : `91,570,362`	0.000	0.994	0.006
rs622856 lBF = `8.44713` Chr`8` : `128,333,180`	0.000	0.994	0.006
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.000	0.995	0.005
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.005	0.995	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.005	0.995	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.004	0.996	0.000
rs2014357 lBF = `0.0898175` Chr`8` : `133,103,290`	0.000	0.996	0.004
rs1480997 lBF = `0.111189` Chr`8` : `21,484,457`	0.000	0.996	0.004
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.004	0.996	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.004	0.996	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.003	0.996	0.001
rs2163950 lBF = `-0.0149918` Chr`8` : `130,597,585`	0.004	0.996	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.000	0.996	0.004
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.003	0.996	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.996	0.004
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.004	0.996	0.000
rs7836436 lBF = `0.0421154` Chr`8` : `121,006,828`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.003	0.997	0.000
rs4737009 lBF = `-0.0512034` Chr`8` : `41,630,405`	0.003	0.997	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.002	0.997	0.001
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.003	0.997	0.000
rs1996720 lBF = `0.205595` Chr`8` : `113,074,096`	0.000	0.997	0.003
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.003	0.997	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.002	0.997	0.001
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.003	0.997	0.000
rs2407314 lBF = `0.0128268` Chr`8` : `4,078,353`	0.000	0.997	0.003
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.003	0.997	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.998	0.002
rs2437772 lBF = `1.06798` Chr`8` : `97,512,977`	0.002	0.998	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.998	0.000
rs2882926 lBF = `-0.0585463` Chr`8` : `63,621,569`	0.002	0.998	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.000	0.998	0.002
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs240657 lBF = `-0.00636384` Chr`8` : `15,665,612`	0.002	0.998	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.002	0.998	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs4733781 lBF = `-0.00271699` Chr`8` : `131,296,767`	0.000	0.998	0.002
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs13272236 lBF = `-0.0471007` Chr`8` : `51,384,987`	0.000	0.998	0.002
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.002	0.998	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.002	0.998	0.000
rs1375785 lBF = `0.185641` Chr`8` : `83,991,231`	0.002	0.998	0.000
rs117933211 lBF = `0.115108` Chr`8` : `47,243,611`	0.002	0.998	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.002	0.998	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.002	0.998	0.000
rs1442407 lBF = `-0.0522984` Chr`8` : `3,091,584`	0.002	0.998	0.000
rs16909318 lBF = `0.170483` Chr`8` : `82,445,224`	0.002	0.998	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.002	0.998	0.000
rs13278529 lBF = `-0.045506` Chr`8` : `40,333,321`	0.002	0.998	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.002	0.998	0.000
rs11991744 lBF = `0.00178314` Chr`8` : `124,659,329`	0.000	0.998	0.002
rs17262815 lBF = `0.0121145` Chr`8` : `130,491,165`	0.001	0.999	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.001	0.999	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.001	0.999	0.000
rs2048656 lBF = `2.78992` Chr`8` : `9,644,659`	0.001	0.999	0.000
rs11987758 lBF = `0.0136368` Chr`8` : `2,128,786`	0.001	0.999	0.000
rs517811 lBF = `-0.0666965` Chr`8` : `102,944,863`	0.000	0.999	0.001
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.001	0.999	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.001	0.999	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.001	0.999	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.000	0.999	0.001
rs117044419 lBF = `0.184407` Chr`8` : `47,406,616`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.000	0.999	0.001
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs2584363 lBF = `-0.0514426` Chr`8` : `108,158,383`	0.001	0.999	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	0.999	0.001
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.000	0.999	0.001
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rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs13273088 lBF = `-0.0230254` Chr`8` : `70,493,974`	0.000	1.000	0.000
rs10481151 lBF = `-0.0472283` Chr`8` : `124,831,834`	0.000	1.000	0.000
rs11250099 lBF = `8.18578` Chr`8` : `10,818,657`	0.000	1.000	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.000	1.000	0.000
rs1484642 lBF = `-0.00808999` Chr`8` : `9,986,655`	0.000	1.000	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.000	1.000	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.000	1.000	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs58605417 lBF = `0.0597869` Chr`8` : `89,294,322`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs17669535 lBF = `-0.0535021` Chr`8` : `1,244,224`	0.000	1.000	0.000
rs10097555 lBF = `-0.0673728` Chr`8` : `32,346,295`	0.000	1.000	0.000
rs2610025 lBF = `-0.101587` Chr`8` : `57,505,313`	0.000	1.000	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.000	1.000	0.000
rs77378271 lBF = `0.165864` Chr`8` : `3,073,489`	0.000	1.000	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	1.000	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs2400362 lBF = `-0.0160361` Chr`8` : `81,849,306`	0.000	1.000	0.000
rs7003550 lBF = `-0.0225117` Chr`8` : `135,850,898`	0.000	1.000	0.000
rs11786458 lBF = `-0.0542127` Chr`8` : `40,252,701`	0.000	1.000	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.000	1.000	0.000
rs6601523 lBF = `6.38206` Chr`8` : `10,635,141`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs2278491 lBF = `0.182751` Chr`8` : `117,656,871`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs56156301 lBF = `0.00794506` Chr`8` : `104,147,804`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs978152 lBF = `-0.0405618` Chr`8` : `133,369,094`	0.000	1.000	0.000
rs3108919 lBF = `-0.0535203` Chr`8` : `101,841,546`	0.000	1.000	0.000
rs6557600 lBF = `-0.0758497` Chr`8` : `22,763,248`	0.000	1.000	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.000	1.000	0.000
rs11250098 lBF = `9.99463` Chr`8` : `10,818,607`	0.000	1.000	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	1.000	0.000
rs10097731 lBF = `0.231731` Chr`8` : `82,027,672`	0.000	1.000	0.000
rs10808739 lBF = `-0.0697806` Chr`8` : `65,640,260`	0.000	1.000	0.000
rs2449202 lBF = `-0.111218` Chr`8` : `3,507,129`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.000	1.000	0.000
rs298182 lBF = `0.432076` Chr`8` : `65,303,535`	0.000	1.000	0.000
rs11985561 lBF = `0.34567` Chr`8` : `3,452,262`	0.000	1.000	0.000
rs7819570 lBF = `0.174807` Chr`8` : `89,588,626`	0.000	1.000	0.000
rs7838490 lBF = `0.154765` Chr`8` : `89,585,048`	0.000	1.000	0.000
rs111703385 lBF = `0.13607` Chr`8` : `8,499,516`	0.000	1.000	0.000
rs721399 lBF = `0.0880093` Chr`8` : `18,259,366`	0.000	1.000	0.000
rs1540507 lBF = `0.0353765` Chr`8` : `3,088,763`	0.000	1.000	0.000
rs9987128 lBF = `0.0345873` Chr`8` : `2,980,123`	0.000	1.000	0.000
rs4734806 lBF = `0.0295291` Chr`8` : `105,700,680`	0.000	1.000	0.000
rs1454292 lBF = `0.028062` Chr`8` : `4,926,465`	0.000	1.000	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.000	1.000	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.000	1.000	0.000
rs6468049 lBF = `-0.00898003` Chr`8` : `31,342,467`	0.000	1.000	0.000
rs4871297 lBF = `-0.0107637` Chr`8` : `123,706,155`	0.000	1.000	0.000
rs17060993 lBF = `-0.0123407` Chr`8` : `26,922,112`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs12681963 lBF = `-0.0465827` Chr`8` : `29,982,518`	0.000	1.000	0.000
rs10091374 lBF = `-0.0497464` Chr`8` : `71,386,904`	0.000	1.000	0.000
rs79076257 lBF = `-0.055238` Chr`8` : `110,244,623`	0.000	1.000	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.000	1.000	0.000
rs17464492 lBF = `10.1677` Chr`8` : `128,342,866`	0.000	1.000	0.000
rs7834018 lBF = `0.188881` Chr`8` : `72,561,742`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs77913157 lBF = `0.00320006` Chr`8` : `19,949,198`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs7845056 lBF = `-0.0518936` Chr`8` : `143,020,731`	0.000	1.000	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.000	1.000	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.000	1.000	0.000
rs4732812 lBF = `0.155874` Chr`8` : `27,923,388`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs4876199 lBF = `0.0206282` Chr`8` : `2,176,910`	0.000	1.000	0.000
rs2129782 lBF = `-0.0095127` Chr`8` : `89,459,234`	0.000	1.000	0.000
rs13263568 lBF = `-0.0180291` Chr`8` : `72,447,418`	0.000	1.000	0.000
rs1487141 lBF = `-0.0502364` Chr`8` : `32,139,652`	0.000	1.000	0.000
rs2383876 lBF = `-0.0631562` Chr`8` : `74,066,179`	0.000	1.000	0.000
rs1961102 lBF = `-0.0915305` Chr`8` : `103,932,845`	0.000	1.000	0.000
rs1208 lBF = `-0.0928151` Chr`8` : `18,258,316`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.000	1.000	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.000	1.000	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	1.000	0.000
rs2608053 lBF = `2.60427` Chr`8` : `129,075,832`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.000	1.000	0.000
rs6984305 lBF = `0.260009` Chr`8` : `9,178,268`	0.000	1.000	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	1.000	0.000
rs6986718 lBF = `0.0450829` Chr`8` : `121,635,396`	0.000	1.000	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.000	1.000	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	1.000	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	1.000	0.000
rs6422354 lBF = `-0.0143532` Chr`8` : `9,438,720`	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

0.3605

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2570

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1892

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

1.0000

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

1.0000

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

1.0000

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

1.0000

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9999

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9999

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9999

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9999

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9998

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9982

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9977

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9975

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9964

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9962

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9938

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9881

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9856

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9848

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9740

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9571

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9553

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9513

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9481

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9296

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9251

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8816

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8774

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8449

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8441

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8019

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7931

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7886

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7867

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7835

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7511

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6860

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6593

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6165

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6120

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5914

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5635

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5490

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5355

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5226

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4785

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4299

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4165

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4106

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3992

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3741

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3451

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3393

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3386

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2715

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2664

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2447

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2366

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2257

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2152

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2150

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2050

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1917

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1799

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1725

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1487

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1444

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1433

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1413

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1404

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1382

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1359

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1253

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1196

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1103

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1088

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0965

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0915

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0895

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0868

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0854

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0825

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0783

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0773

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0726

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0621

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0598

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`)