TreeWAS – [R22.0] Localised swelling, mass and lump, head

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
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.753	0.247	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.696	0.304	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.619	0.381	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.596	0.404	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.593	0.407	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.589	0.411	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.589	0.411	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.562	0.438	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.547	0.453	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.507	0.493	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.486	0.514	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.479	0.521	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.471	0.529	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.464	0.536	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.456	0.544	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.452	0.548	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.451	0.549	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.435	0.565	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.433	0.567	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.430	0.570	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.423	0.577	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.410	0.590	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.406	0.594	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.403	0.597	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.395	0.604	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.395	0.605	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.395	0.605	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.393	0.607	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.388	0.612	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.387	0.613	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.385	0.615	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.366	0.634	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.364	0.636	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.364	0.636	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.363	0.637	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.360	0.640	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.358	0.641	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.352	0.648	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.350	0.650	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.350	0.650	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.332	0.668	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.327	0.673	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.318	0.682	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.305	0.694	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.302	0.697	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.292	0.708	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.281	0.717	0.002
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.281	0.718	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.272	0.728	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.271	0.729	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.261	0.738	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.261	0.739	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.256	0.743	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.255	0.745	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.247	0.753	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.234	0.766	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.226	0.774	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.226	0.774	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.224	0.776	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.223	0.777	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.204	0.796	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.195	0.805	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.192	0.808	0.000
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.191	0.809	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.177	0.822	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.170	0.830	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.163	0.836	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.153	0.846	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.152	0.848	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.151	0.849	0.001
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.138	0.862	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.134	0.865	0.001
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.121	0.879	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.118	0.882	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.111	0.888	0.001
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.111	0.889	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.110	0.890	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.104	0.896	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.104	0.896	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.102	0.898	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.096	0.904	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.091	0.908	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.090	0.909	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.089	0.910	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.087	0.912	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.085	0.915	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.084	0.916	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.082	0.917	0.001
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.082	0.917	0.001
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.076	0.924	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.072	0.928	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.071	0.929	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.068	0.932	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.061	0.939	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.060	0.940	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.058	0.942	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.058	0.942	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.057	0.943	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.054	0.946	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.052	0.948	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.048	0.951	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.047	0.953	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.042	0.957	0.001
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.035	0.964	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.034	0.966	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.033	0.967	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.032	0.968	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.032	0.968	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.027	0.972	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.027	0.972	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.026	0.974	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.026	0.974	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.025	0.975	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.024	0.976	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.024	0.976	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.023	0.977	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.021	0.979	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.021	0.979	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.020	0.980	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.020	0.980	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.020	0.980	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.019	0.981	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.017	0.982	0.001
rs3812570 lBF = `0.00062406` Chr`9` : `139,275,204`	0.017	0.983	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.016	0.984	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.015	0.985	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.014	0.986	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.014	0.986	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.013	0.986	0.000
rs4741351 lBF = `0.0679959` Chr`9` : `14,222,782`	0.000	0.986	0.014
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.010	0.990	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.009	0.991	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.009	0.991	0.000
rs11144781 lBF = `0.229588` Chr`9` : `78,793,421`	0.008	0.991	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.008	0.992	0.000
rs7860634 lBF = `-0.0425554` Chr`9` : `139,089,679`	0.000	0.993	0.007
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.007	0.993	0.000
rs1757948 lBF = `-0.0515205` Chr`9` : `81,310,680`	0.000	0.993	0.007
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.006	0.993	0.001
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.007	0.993	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.006	0.994	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.006	0.994	0.001
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.006	0.994	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.006	0.994	0.000
rs149951341 lBF = `-0.0694151` Chr`9` : `81,268,149`	0.006	0.994	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.005	0.995	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.005	0.995	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.005	0.995	0.000
rs4877280 lBF = `-0.0797779` Chr`9` : `87,186,405`	0.000	0.995	0.005
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.005	0.995	0.000
rs7865468 lBF = `-0.0706559` Chr`9` : `10,274,080`	0.005	0.995	0.000
rs7039300 lBF = `-0.0813067` Chr`9` : `14,064,741`	0.004	0.996	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.004	0.996	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.004	0.996	0.000
rs10739221 lBF = `-0.0385021` Chr`9` : `109,060,830`	0.004	0.996	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.003	0.996	0.000
rs79987207 lBF = `5.41608` Chr`9` : `100,963,977`	0.004	0.996	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.003	0.997	0.000
rs4132699 lBF = `1.06078` Chr`9` : `92,036,427`	0.000	0.997	0.003
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.003	0.997	0.000
rs11145763 lBF = `0.611887` Chr`9` : `139,263,596`	0.003	0.997	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.003	0.997	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.002	0.997	0.001
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.002	0.997	0.000
rs3739821 lBF = `-0.012789` Chr`9` : `130,702,477`	0.000	0.997	0.003
rs7853287 lBF = `-0.0569396` Chr`9` : `117,549,327`	0.003	0.997	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.000	0.997	0.003
rs4077515 lBF = `0.327863` Chr`9` : `139,266,496`	0.002	0.998	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.002	0.998	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.002	0.998	0.000
rs7867155 lBF = `-0.0449526` Chr`9` : `98,827,814`	0.002	0.998	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.002	0.998	0.000
rs10781499 lBF = `0.551237` Chr`9` : `139,266,405`	0.002	0.998	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.002	0.998	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.002	0.998	0.000
rs3847225 lBF = `-0.0152464` Chr`9` : `1,790,685`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.002	0.998	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.002	0.998	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.002	0.998	0.000
rs3750450 lBF = `0.467322` Chr`9` : `111,945,049`	0.000	0.998	0.002
rs11791652 lBF = `-0.0956194` Chr`9` : `91,602,796`	0.000	0.998	0.002
rs11140653 lBF = `-0.0449805` Chr`9` : `87,152,509`	0.000	0.998	0.002
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.002	0.998	0.000
rs10961780 lBF = `-0.0541988` Chr`9` : `14,898,161`	0.002	0.998	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.002	0.998	0.000
rs876347 lBF = `0.0334952` Chr`9` : `121,031,029`	0.002	0.998	0.000
rs3736986 lBF = `-0.0063385` Chr`9` : `36,194,569`	0.000	0.998	0.002
rs150611042 lBF = `0.00705816` Chr`9` : `117,083,803`	0.002	0.998	0.000
rs7869190 lBF = `0.0175485` Chr`9` : `5,551,945`	0.000	0.998	0.002
rs320209 lBF = `-0.0483587` Chr`9` : `104,944,755`	0.002	0.998	0.000
rs7043095 lBF = `-0.0974076` Chr`9` : `91,604,005`	0.000	0.998	0.002
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.002	0.998	0.000
rs10989692 lBF = `0.0578047` Chr`9` : `104,674,555`	0.002	0.998	0.000
rs118043898 lBF = `0.0258933` Chr`9` : `24,431,792`	0.002	0.998	0.000
rs3118515 lBF = `-0.0424838` Chr`9` : `137,436,314`	0.002	0.998	0.000
rs75059066 lBF = `5.824` Chr`9` : `14,373,551`	0.002	0.998	0.000
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.001	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.001	0.998	0.000
rs10758161 lBF = `-0.0411922` Chr`9` : `32,755,028`	0.002	0.998	0.000
rs4979078 lBF = `-0.0336226` Chr`9` : `114,823,121`	0.000	0.998	0.002
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rs4742269 lBF = `-0.00745633` Chr`9` : `6,849,317`	0.000	0.999	0.001
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.000	0.999	0.000
rs1535454 lBF = `0.810124` Chr`9` : `5,410,723`	0.000	0.999	0.001
rs11788518 lBF = `0.0996212` Chr`9` : `78,917,378`	0.001	0.999	0.000
rs17060946 lBF = `0.036201` Chr`9` : `77,808,519`	0.000	0.999	0.001
rs7856367 lBF = `-0.0448927` Chr`9` : `124,942,544`	0.001	0.999	0.000
rs649891 lBF = `0.0337293` Chr`9` : `10,430,602`	0.000	0.999	0.001
rs12003072 lBF = `0.013909` Chr`9` : `86,771,161`	0.001	0.999	0.000
rs912062 lBF = `-0.0103765` Chr`9` : `841,152`	0.000	0.999	0.001
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.001	0.999	0.000
rs8176741 lBF = `13.4069` Chr`9` : `136,131,461`	0.001	0.999	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.000	0.999	0.000
rs35775808 lBF = `0.734475` Chr`9` : `102,225,544`	0.000	0.999	0.000
rs3731211 lBF = `0.570384` Chr`9` : `21,986,847`	0.000	0.999	0.001
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.999	0.000
rs78496360 lBF = `-0.00327034` Chr`9` : `31,499,713`	0.000	0.999	0.000
rs1327533 lBF = `-0.0215475` Chr`9` : `113,131,163`	0.000	0.999	0.001
rs1873747 lBF = `-0.0415349` Chr`9` : `94,395,860`	0.001	0.999	0.000
rs16931322 lBF = `6.6231` Chr`9` : `14,078,878`	0.001	0.999	0.000
rs7849581 lBF = `0.151245` Chr`9` : `9,924,724`	0.000	0.999	0.000
rs12345625 lBF = `0.0619719` Chr`9` : `31,479,005`	0.000	0.999	0.001
rs7866350 lBF = `0.0266558` Chr`9` : `100,983,826`	0.000	0.999	0.000
rs7874142 lBF = `0.0135613` Chr`9` : `137,704,782`	0.000	0.999	0.001
rs2805062 lBF = `0.0124346` Chr`9` : `24,560,577`	0.001	0.999	0.000
rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.000	0.999	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.000	0.999	0.000
rs192256335 lBF = `-0.00420052` Chr`9` : `129,725,820`	0.000	0.999	0.000
rs13300483 lBF = `-0.0304824` Chr`9` : `117,643,362`	0.001	0.999	0.000
rs35419961 lBF = `-0.031347` Chr`9` : `11,930,364`	0.000	0.999	0.001
rs72700966 lBF = `-0.0322007` Chr`9` : `10,505,224`	0.001	0.999	0.000
rs12339966 lBF = `-0.0664146` Chr`9` : `11,641,243`	0.001	0.999	0.000
rs2501559 lBF = `6.41319` Chr`9` : `140,565,196`	0.000	0.999	0.001
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	0.999	0.000
rs12380424 lBF = `0.099035` Chr`9` : `131,403,221`	0.000	0.999	0.000
rs16925187 lBF = `0.00717` Chr`9` : `7,043,455`	0.000	0.999	0.001
rs1984119 lBF = `-0.0575627` Chr`9` : `98,368,761`	0.001	0.999	0.000
rs2007126 lBF = `-0.0611801` Chr`9` : `132,684,007`	0.001	0.999	0.000
rs385893 lBF = `-0.114248` Chr`9` : `4,763,176`	0.000	0.999	0.001
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.001	0.999	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.000	0.999	0.001
rs7855757 lBF = `5.95951` Chr`9` : `19,712,378`	0.001	0.999	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	0.999	0.000
rs115613582 lBF = `0.00708643` Chr`9` : `5,482,489`	0.000	0.999	0.000
rs12554999 lBF = `0.00638703` Chr`9` : `82,042,491`	0.000	0.999	0.000
rs1975197 lBF = `-0.0413751` Chr`9` : `8,846,955`	0.001	0.999	0.000
rs8176746 lBF = `15.0421` Chr`9` : `136,131,322`	0.001	0.999	0.000
rs7852296 lBF = `1.12641` Chr`9` : `126,352,218`	0.001	0.999	0.000
rs2006996 lBF = `0.374558` Chr`9` : `117,592,638`	0.000	0.999	0.000
rs514024 lBF = `0.0337033` Chr`9` : `130,504,070`	0.000	0.999	0.001
rs112541862 lBF = `0.0130169` Chr`9` : `97,483,158`	0.000	0.999	0.000
rs10115586 lBF = `0.0123159` Chr`9` : `120,559,011`	0.000	0.999	0.001
rs3861882 lBF = `-0.0015436` Chr`9` : `132,465,304`	0.001	0.999	0.000
rs4401971 lBF = `-0.0818158` Chr`9` : `11,890,045`	0.001	0.999	0.000
rs514659 lBF = `140.82` Chr`9` : `136,142,203`	0.001	0.999	0.000
rs3810936 lBF = `0.923276` Chr`9` : `117,552,885`	0.001	0.999	0.000
rs140993796 lBF = `-0.00512351` Chr`9` : `111,536,356`	0.000	0.999	0.000
rs7032940 lBF = `-0.0818828` Chr`9` : `112,945,405`	0.001	0.999	0.000
rs10746997 lBF = `-0.129066` Chr`9` : `78,841,401`	0.001	0.999	0.000
rs7873102 lBF = `0.289787` Chr`9` : `38,041,142`	0.000	0.999	0.001
rs10814275 lBF = `0.043786` Chr`9` : `35,758,578`	0.000	0.999	0.001
rs3802344 lBF = `0.0328771` Chr`9` : `133,534,279`	0.000	0.999	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.000	0.999	0.000
rs11790994 lBF = `0.00850557` Chr`9` : `98,429,266`	0.000	0.999	0.001
rs10990268 lBF = `-0.0285931` Chr`9` : `105,502,498`	0.001	0.999	0.000
rs147213018 lBF = `-0.0359585` Chr`9` : `79,675,880`	0.001	0.999	0.000
rs13287980 lBF = `-0.0393366` Chr`9` : `107,324,200`	0.000	0.999	0.001
rs10511779 lBF = `-0.0394314` Chr`9` : `26,725,702`	0.000	0.999	0.001
rs10760649 lBF = `-0.0501117` Chr`9` : `132,714,968`	0.001	0.999	0.000
rs7035284 lBF = `-0.0671117` Chr`9` : `21,678,973`	0.001	0.999	0.000
rs4258076 lBF = `-0.079586` Chr`9` : `19,664,081`	0.001	0.999	0.000
rs8176743 lBF = `14.2128` Chr`9` : `136,131,415`	0.000	0.999	0.000
rs3780181 lBF = `3.15919` Chr`9` : `2,640,759`	0.000	0.999	0.001
rs10814916 lBF = `1.50567` Chr`9` : `4,293,150`	0.000	0.999	0.001
rs16924016 lBF = `0.0976692` Chr`9` : `100,511,331`	0.001	0.999	0.000
rs12552818 lBF = `0.0788271` Chr`9` : `104,623,359`	0.000	0.999	0.001
rs2043144 lBF = `-0.00932687` Chr`9` : `73,950,955`	0.000	0.999	0.000
rs8176749 lBF = `14.8273` Chr`9` : `136,131,188`	0.000	0.999	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.000	0.999	0.000
rs12003180 lBF = `2.87978` Chr`9` : `15,283,097`	0.000	0.999	0.000
rs12349081 lBF = `0.551151` Chr`9` : `21,951,902`	0.000	0.999	0.000
rs60589809 lBF = `0.550744` Chr`9` : `92,937,726`	0.000	0.999	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.000	0.999	0.000
rs649057 lBF = `0.130024` Chr`9` : `102,234,323`	0.000	0.999	0.000
rs7027203 lBF = `0.10647` Chr`9` : `96,562,563`	0.001	0.999	0.000
rs139475366 lBF = `0.00703853` Chr`9` : `100,273,497`	0.000	0.999	0.000
rs10967505 lBF = `-0.0461572` Chr`9` : `26,737,656`	0.001	0.999	0.000
rs10512049 lBF = `-0.0571178` Chr`9` : `78,276,675`	0.000	0.999	0.000
rs2309891 lBF = `-0.119839` Chr`9` : `73,840,918`	0.001	0.999	0.000
rs17481720 lBF = `0.0076358` Chr`9` : `131,889,294`	0.000	0.999	0.000
rs2273720 lBF = `-0.00037112` Chr`9` : `27,209,469`	0.000	0.999	0.000
rs7020996 lBF = `17.892` Chr`9` : `22,129,579`	0.000	0.999	0.000
rs8176693 lBF = `14.3653` Chr`9` : `136,137,657`	0.000	0.999	0.000
rs10965243 lBF = `6.81858` Chr`9` : `22,130,065`	0.000	0.999	0.000
rs79156074 lBF = `0.076147` Chr`9` : `16,000,235`	0.000	0.999	0.000
rs10984561 lBF = `0.0474393` Chr`9` : `122,258,577`	0.000	0.999	0.000
rs3802457 lBF = `0.0160534` Chr`9` : `97,741,336`	0.000	0.999	0.000
rs3025383 lBF = `0.664109` Chr`9` : `136,502,369`	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

0.5354

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1285

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9894

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9696

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9616

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9458

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9216

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9199

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9160

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8772

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8671

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8652

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8492

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8444

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8391

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8277

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8243

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7981

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7540

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7430

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7401

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7053

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6709

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6666

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6595

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6305

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6145

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6052

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6045

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5959

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5833

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5760

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5665

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5591

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5379

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5161

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5094

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4957

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4944

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4898

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4118

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4075

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4068

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4065

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4019

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3963

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3959

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3923

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3822

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3819

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3616

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3573

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3431

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3359

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3017

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2796

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2670

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2544

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2475

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2332

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2213

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2181

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2100

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1940

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1933

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1820

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1682

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1606

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1585

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1516

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1478

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1435

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1379

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1323

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1250

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1230

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1227

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1157

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1116

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1085

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0996

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0958

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0865

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.0827

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0821

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0789

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0721

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0710

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0674

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0626

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0605

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0603

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0572

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0556

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0521

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`)