TreeWAS – [D17.7] Benign lipomatous neoplasm of other sites

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
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.725	0.275	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.720	0.280	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.653	0.347	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.571	0.429	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.550	0.450	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.527	0.473	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.524	0.476	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.512	0.488	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.489	0.511	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.422	0.578	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.421	0.579	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.420	0.580	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.411	0.589	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.403	0.597	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.395	0.605	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.393	0.606	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.368	0.632	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.361	0.639	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.361	0.639	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.348	0.652	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.348	0.652	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.344	0.655	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.337	0.663	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.308	0.692	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.264	0.736	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.255	0.745	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.254	0.746	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.248	0.752	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.232	0.768	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.222	0.778	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.215	0.784	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.215	0.785	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.212	0.788	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.212	0.788	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.199	0.801	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.186	0.814	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.178	0.822	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.165	0.834	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.163	0.837	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.157	0.843	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.152	0.847	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.152	0.848	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.150	0.850	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.147	0.853	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.142	0.855	0.003
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.144	0.855	0.000
rs1571228 lBF = `0.440091` Chr`9` : `18,930,222`	0.145	0.855	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.135	0.865	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.135	0.865	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.132	0.868	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.126	0.874	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.126	0.874	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.120	0.880	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.116	0.884	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.111	0.889	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.102	0.898	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.098	0.901	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.096	0.903	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.095	0.905	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.087	0.913	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.084	0.916	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.084	0.916	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.082	0.917	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.081	0.919	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.079	0.921	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.077	0.923	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.075	0.925	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.074	0.926	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.073	0.927	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.070	0.929	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.002	0.931	0.068
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.068	0.932	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.067	0.932	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.065	0.935	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.060	0.940	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.060	0.940	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.057	0.942	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.056	0.944	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.055	0.944	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.049	0.950	0.001
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.046	0.950	0.004
rs3138493 lBF = `0.281358` Chr`9` : `92,219,260`	0.050	0.950	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.046	0.954	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.046	0.954	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.044	0.956	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.043	0.957	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.043	0.957	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.037	0.963	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.037	0.963	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.035	0.964	0.001
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.035	0.965	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.034	0.965	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.032	0.967	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.030	0.970	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.029	0.971	0.000
rs142965926 lBF = `0.0469266` Chr`9` : `136,618,128`	0.028	0.972	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.026	0.974	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.026	0.974	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.026	0.974	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.025	0.975	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.025	0.975	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.024	0.976	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.024	0.976	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.023	0.977	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.023	0.977	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.022	0.977	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.022	0.978	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.021	0.978	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.021	0.978	0.001
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.021	0.979	0.000
rs383182 lBF = `4.20337` Chr`9` : `76,115,818`	0.021	0.979	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.021	0.979	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.015	0.985	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.015	0.985	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.015	0.985	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.014	0.986	0.001
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.014	0.986	0.001
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.011	0.987	0.002
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.013	0.987	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.012	0.987	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.011	0.989	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.011	0.989	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.011	0.989	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.010	0.990	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.009	0.990	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.009	0.990	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.009	0.990	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.009	0.991	0.000
rs612169 lBF = `158.629` Chr`9` : `136,143,442`	0.009	0.991	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.009	0.991	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.000	0.991	0.009
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.008	0.991	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.008	0.992	0.000
rs687621 lBF = `157.152` Chr`9` : `136,137,065`	0.008	0.992	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.008	0.992	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.007	0.992	0.000
rs117000167 lBF = `0.00350061` Chr`9` : `124,678,821`	0.007	0.993	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.007	0.993	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.007	0.993	0.000
rs2006996 lBF = `0.374558` Chr`9` : `117,592,638`	0.007	0.993	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.004	0.994	0.002
rs10967875 lBF = `0.0661498` Chr`9` : `27,309,659`	0.006	0.994	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.006	0.994	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.006	0.994	0.000
rs505922 lBF = `162.562` Chr`9` : `136,149,229`	0.005	0.994	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.005	0.994	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.005	0.995	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.005	0.995	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.005	0.995	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.005	0.995	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.005	0.995	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.004	0.995	0.000
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.004	0.995	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.004	0.995	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.004	0.996	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.004	0.996	0.000
rs10980800 lBF = `-0.0244319` Chr`9` : `113,915,905`	0.004	0.996	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.004	0.996	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.004	0.996	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.003	0.996	0.000
rs117347249 lBF = `0.0164813` Chr`9` : `81,368,654`	0.003	0.996	0.000
rs16910061 lBF = `0.067114` Chr`9` : `97,314,741`	0.003	0.997	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.003	0.997	0.000
rs10982990 lBF = `-0.0404249` Chr`9` : `118,658,716`	0.003	0.997	0.000
rs1467311 lBF = `0.133468` Chr`9` : `110,536,932`	0.000	0.997	0.003
rs514659 lBF = `140.82` Chr`9` : `136,142,203`	0.003	0.997	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.003	0.997	0.000
rs143639284 lBF = `0.00187276` Chr`9` : `5,140,958`	0.002	0.997	0.000
rs7875024 lBF = `0.0519451` Chr`9` : `16,288,424`	0.000	0.997	0.003
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.003	0.997	0.000
rs6475448 lBF = `0.0720917` Chr`9` : `20,497,142`	0.000	0.997	0.003
rs6475025 lBF = `0.00878977` Chr`9` : `16,289,428`	0.000	0.998	0.002
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.002	0.998	0.000
rs77362122 lBF = `0.0738843` Chr`9` : `87,380,673`	0.002	0.998	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.002	0.998	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.002	0.998	0.000
rs12346772 lBF = `0.010182` Chr`9` : `113,920,599`	0.002	0.998	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.002	0.998	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.002	0.998	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.002	0.998	0.000
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.002	0.998	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.002	0.998	0.000
rs17637172 lBF = `0.0235876` Chr`9` : `122,223,958`	0.002	0.998	0.000
rs657152 lBF = `149.847` Chr`9` : `136,139,265`	0.002	0.998	0.000
rs10816533 lBF = `0.0260514` Chr`9` : `99,539,138`	0.001	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.001	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.998	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.001	0.998	0.000
rs638756 lBF = `14.2843` Chr`9` : `136,134,472`	0.002	0.998	0.000
rs13287547 lBF = `0.0258107` Chr`9` : `16,286,890`	0.000	0.998	0.002
rs192256335 lBF = `-0.00420052` Chr`9` : `129,725,820`	0.001	0.998	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.001	0.999	0.000
rs10814916 lBF = `1.50567` Chr`9` : `4,293,150`	0.000	0.999	0.001
rs495828 lBF = `133.813` Chr`9` : `136,154,867`	0.001	0.999	0.000
rs8176740 lBF = `14.2006` Chr`9` : `136,131,472`	0.001	0.999	0.000
rs2043144 lBF = `-0.00932687` Chr`9` : `73,950,955`	0.001	0.999	0.000
rs17584499 lBF = `0.0492266` Chr`9` : `8,879,118`	0.001	0.999	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.999	0.000
rs8176742 lBF = `15.4244` Chr`9` : `136,131,437`	0.001	0.999	0.000
rs8176745 lBF = `13.8021` Chr`9` : `136,131,347`	0.001	0.999	0.000
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rs16924016 lBF = `0.0976692` Chr`9` : `100,511,331`	0.000	0.999	0.000
rs7041168 lBF = `-0.0445623` Chr`9` : `110,698,716`	0.000	0.999	0.000
rs10746953 lBF = `-0.0701752` Chr`9` : `76,917,840`	0.000	0.999	0.000
rs10965250 lBF = `27.0523` Chr`9` : `22,133,284`	0.000	1.000	0.000
rs79258494 lBF = `1.37582` Chr`9` : `23,576,500`	0.000	1.000	0.000
rs7041847 lBF = `0.598182` Chr`9` : `4,287,466`	0.000	1.000	0.000
rs7869969 lBF = `0.510803` Chr`9` : `96,217,447`	0.000	1.000	0.000
rs2210430 lBF = `0.0966713` Chr`9` : `25,501,297`	0.000	1.000	0.000
rs1929412 lBF = `0.0143466` Chr`9` : `11,951,222`	0.000	1.000	0.000
rs10990032 lBF = `-0.0105511` Chr`9` : `105,116,201`	0.000	1.000	0.000
rs7028939 lBF = `-0.0613793` Chr`9` : `102,808,685`	0.000	1.000	0.000
rs12342831 lBF = `-0.0888611` Chr`9` : `33,124,872`	0.000	1.000	0.000
rs10813951 lBF = `-0.0908161` Chr`9` : `33,128,021`	0.000	1.000	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.000	1.000	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.000	1.000	0.000
rs16933812 lBF = `0.422339` Chr`9` : `36,969,205`	0.000	1.000	0.000
rs3849942 lBF = `0.390597` Chr`9` : `27,543,281`	0.000	1.000	0.000
rs3849943 lBF = `0.388955` Chr`9` : `27,543,382`	0.000	1.000	0.000
rs736893 lBF = `0.12449` Chr`9` : `4,217,028`	0.000	1.000	0.000
rs72724928 lBF = `-0.00324103` Chr`9` : `28,024,194`	0.000	1.000	0.000
rs12236890 lBF = `-0.0413664` Chr`9` : `3,157,137`	0.000	1.000	0.000
rs10813957 lBF = `-0.0868658` Chr`9` : `33,153,527`	0.000	1.000	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.000	1.000	0.000
rs686030 lBF = `17.631` Chr`9` : `15,304,782`	0.000	1.000	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.000	1.000	0.000
rs3025343 lBF = `5.75082` Chr`9` : `136,478,355`	0.000	1.000	0.000
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.000	1.000	0.000
rs2286885 lBF = `0.838942` Chr`9` : `129,246,487`	0.000	1.000	0.000
rs7046653 lBF = `0.676225` Chr`9` : `27,490,967`	0.000	1.000	0.000
rs10961577 lBF = `0.0718727` Chr`9` : `14,562,314`	0.000	1.000	0.000
rs767770 lBF = `-0.0116695` Chr`9` : `124,098,535`	0.000	1.000	0.000
rs640850 lBF = `-0.0404403` Chr`9` : `29,536,618`	0.000	1.000	0.000
rs4626664 lBF = `-0.0423973` Chr`9` : `9,261,737`	0.000	1.000	0.000
rs1147813 lBF = `-0.0661128` Chr`9` : `25,859,709`	0.000	1.000	0.000
rs15676 lBF = `-0.0842644` Chr`9` : `131,572,027`	0.000	1.000	0.000
rs10970976 lBF = `-0.0932967` Chr`9` : `32,433,526`	0.000	1.000	0.000
rs7043095 lBF = `-0.0974076` Chr`9` : `91,604,005`	0.000	1.000	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.000	1.000	0.000
rs113864525 lBF = `5.65687` Chr`9` : `136,473,053`	0.000	1.000	0.000
rs10821136 lBF = `0.434416` Chr`9` : `96,238,731`	0.000	1.000	0.000
rs183433444 lBF = `0.144796` Chr`9` : `126,555,988`	0.000	1.000	0.000
rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.000	1.000	0.000
rs75824829 lBF = `-0.0146663` Chr`9` : `138,268,602`	0.000	1.000	0.000
rs13287980 lBF = `-0.0393366` Chr`9` : `107,324,200`	0.000	1.000	0.000
rs28447319 lBF = `-0.0538554` Chr`9` : `33,218,922`	0.000	1.000	0.000
rs10989019 lBF = `-0.0612651` Chr`9` : `102,976,541`	0.000	1.000	0.000
rs2842483 lBF = `-0.0690737` Chr`9` : `78,906,150`	0.000	1.000	0.000
rs11791652 lBF = `-0.0956194` Chr`9` : `91,602,796`	0.000	1.000	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.000	1.000	0.000
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.000	1.000	0.000
rs4879926 lBF = `0.0141498` Chr`9` : `35,700,837`	0.000	1.000	0.000
rs115613582 lBF = `0.00708643` Chr`9` : `5,482,489`	0.000	1.000	0.000
rs912062 lBF = `-0.0103765` Chr`9` : `841,152`	0.000	1.000	0.000
rs774359 lBF = `-0.0186871` Chr`9` : `27,561,049`	0.000	1.000	0.000
rs364477 lBF = `-0.0522908` Chr`9` : `955,794`	0.000	1.000	0.000
rs7025486 lBF = `-0.0535816` Chr`9` : `124,422,403`	0.000	1.000	0.000
rs2472476 lBF = `-0.112275` Chr`9` : `107,531,956`	0.000	1.000	0.000
rs4962153 lBF = `50.9657` Chr`9` : `136,323,754`	0.000	1.000	0.000
rs7020996 lBF = `17.892` Chr`9` : `22,129,579`	0.000	1.000	0.000
Affx-33350288 lBF = `7.64136` Chr`9` : `136,350,150`	0.000	1.000	0.000
rs16931322 lBF = `6.6231` Chr`9` : `14,078,878`	0.000	1.000	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.000	1.000	0.000
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	1.000	0.000
rs1337391 lBF = `1.3091` Chr`9` : `16,611,692`	0.000	1.000	0.000
rs13294589 lBF = `0.255966` Chr`9` : `26,694,888`	0.000	1.000	0.000
rs7869190 lBF = `0.0175485` Chr`9` : `5,551,945`	0.000	1.000	0.000
rs139475366 lBF = `0.00703853` Chr`9` : `100,273,497`	0.000	1.000	0.000
rs140993796 lBF = `-0.00512351` Chr`9` : `111,536,356`	0.000	1.000	0.000
rs1411916 lBF = `-0.0140596` Chr`9` : `80,940,576`	0.000	1.000	0.000
rs6560039 lBF = `-0.0151319` Chr`9` : `90,474,946`	0.000	1.000	0.000
rs16929097 lBF = `-0.0324599` Chr`9` : `12,521,826`	0.000	1.000	0.000
rs2814707 lBF = `-0.043331` Chr`9` : `27,536,397`	0.000	1.000	0.000
rs10733682 lBF = `-0.0752751` Chr`9` : `129,460,914`	0.000	1.000	0.000
rs10781182 lBF = `-0.0797706` Chr`9` : `76,617,720`	0.000	1.000	0.000
rs78757963 lBF = `12.3274` Chr`9` : `6,282,511`	0.000	1.000	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.000	1.000	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.000	1.000	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.000	1.000	0.000
rs79941005 lBF = `0.132319` Chr`9` : `78,502,989`	0.000	1.000	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	1.000	0.000
rs7033996 lBF = `0.0249961` Chr`9` : `35,927,977`	0.000	1.000	0.000
rs17266958 lBF = `-0.0318511` Chr`9` : `83,265,249`	0.000	1.000	0.000
rs10512049 lBF = `-0.0571178` Chr`9` : `78,276,675`	0.000	1.000	0.000
rs12345013 lBF = `-0.0667299` Chr`9` : `79,761,711`	0.000	1.000	0.000
rs12377462 lBF = `-0.0847644` Chr`9` : `32,914,589`	0.000	1.000	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.000	1.000	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.000	1.000	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.000	1.000	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.000	1.000	0.000
rs75059066 lBF = `5.824` Chr`9` : `14,373,551`	0.000	1.000	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.000	1.000	0.000
rs3802458 lBF = `0.0294039` Chr`9` : `97,741,274`	0.000	1.000	0.000
rs12003072 lBF = `0.013909` Chr`9` : `86,771,161`	0.000	1.000	0.000
rs6476030 lBF = `0.00137645` Chr`9` : `289,061`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.4413

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0728

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9917

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9655

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8887

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8757

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8225

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7860

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7727

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7692

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6600

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6585

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6457

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5822

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5677

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5571

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5566

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5560

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5038

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4937

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4851

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4722

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4053

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4025

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3566

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.3411

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3313

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3264

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2853

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2410

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2090

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1897

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1735

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1702

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1386

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1315

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1180

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1180

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0924

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0807

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0785

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0754

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0712

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0679

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0673

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0620

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0590

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0575

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0574

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0565

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0527

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`)