TreeWAS – [R54] Senility

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
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.931	0.069	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.929	0.071	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.848	0.152	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.772	0.228	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.761	0.239	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.746	0.254	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.746	0.254	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.742	0.258	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.739	0.261	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.735	0.265	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.720	0.279	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.680	0.320	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.666	0.334	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.641	0.359	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.637	0.362	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.634	0.366	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.633	0.367	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.623	0.377	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.610	0.390	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.601	0.399	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.586	0.414	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.573	0.427	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.558	0.442	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.545	0.454	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.529	0.471	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.518	0.482	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.484	0.516	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.480	0.520	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.458	0.542	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.458	0.542	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.434	0.566	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.432	0.568	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.423	0.577	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.421	0.579	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.412	0.588	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.369	0.631	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.330	0.670	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.321	0.678	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.320	0.680	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.303	0.697	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.294	0.706	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.288	0.712	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.287	0.713	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.270	0.730	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.245	0.755	0.001
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.244	0.756	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.227	0.773	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.226	0.774	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.210	0.789	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.204	0.796	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.200	0.800	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.188	0.811	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.182	0.818	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.182	0.818	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.178	0.822	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.164	0.835	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.162	0.838	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.158	0.841	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.155	0.845	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.152	0.848	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.149	0.851	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.132	0.868	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.121	0.879	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.105	0.894	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.105	0.895	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.101	0.899	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.100	0.900	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.097	0.903	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.089	0.911	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.078	0.922	0.001
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.077	0.923	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.076	0.923	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.073	0.927	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.058	0.942	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.055	0.945	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.053	0.946	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.050	0.950	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.047	0.953	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.045	0.955	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.044	0.956	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.040	0.960	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.039	0.961	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.038	0.962	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.038	0.962	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.037	0.963	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.036	0.964	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.034	0.966	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.027	0.973	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.027	0.973	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.024	0.976	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.024	0.976	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.023	0.976	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.021	0.979	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.018	0.982	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.018	0.982	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.017	0.983	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.017	0.983	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.015	0.984	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.015	0.985	0.000
rs294856 lBF = `-0.0887236` Chr`9` : `10,192,290`	0.015	0.985	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.012	0.988	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.012	0.988	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.012	0.988	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.010	0.989	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.010	0.990	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.010	0.990	0.000
rs3780181 lBF = `3.15919` Chr`9` : `2,640,759`	0.000	0.990	0.010
rs1626340 lBF = `-0.00537963` Chr`9` : `101,923,372`	0.010	0.990	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.009	0.990	0.001
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.010	0.990	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.009	0.990	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.009	0.991	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.009	0.991	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.008	0.991	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.008	0.992	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.008	0.992	0.000
rs7466269 lBF = `0.0293827` Chr`9` : `133,464,084`	0.008	0.992	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.008	0.992	0.000
rs7851693 lBF = `0.0180335` Chr`9` : `133,478,827`	0.008	0.992	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.008	0.992	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.007	0.992	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.007	0.993	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.007	0.993	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.006	0.994	0.000
rs7869190 lBF = `0.0175485` Chr`9` : `5,551,945`	0.006	0.994	0.000
rs4740446 lBF = `-0.0372636` Chr`9` : `10,255,540`	0.000	0.994	0.006
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.006	0.994	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.005	0.994	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.006	0.994	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.005	0.995	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.005	0.995	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.005	0.995	0.000
rs10988217 lBF = `0.101471` Chr`9` : `131,888,116`	0.000	0.995	0.005
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.004	0.996	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.004	0.996	0.000
rs334353 lBF = `-0.0332456` Chr`9` : `101,908,365`	0.004	0.996	0.000
rs58761416 lBF = `-0.0612454` Chr`9` : `89,372,068`	0.000	0.996	0.004
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.003	0.996	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.003	0.997	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.003	0.997	0.000
rs946053 lBF = `0.00945485` Chr`9` : `117,049,891`	0.000	0.997	0.003
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.003	0.997	0.000
rs12237653 lBF = `-0.0496596` Chr`9` : `2,551,654`	0.000	0.997	0.003
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.003	0.997	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.003	0.997	0.000
rs10118930 lBF = `12.6461` Chr`9` : `5,148,278`	0.000	0.997	0.003
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.003	0.997	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs10812227 lBF = `-0.0390951` Chr`9` : `2,548,556`	0.000	0.998	0.002
rs1806864 lBF = `-0.0599879` Chr`9` : `90,031,669`	0.002	0.998	0.000
rs2839874 lBF = `-0.0886796` Chr`9` : `116,890,163`	0.002	0.998	0.000
rs16933812 lBF = `0.422339` Chr`9` : `36,969,205`	0.002	0.998	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.002	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.002	0.998	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.002	0.998	0.000
rs7027110 lBF = `-0.0483279` Chr`9` : `109,599,046`	0.002	0.998	0.000
rs4743034 lBF = `0.0384534` Chr`9` : `109,632,353`	0.002	0.998	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.002	0.998	0.000
rs10812882 lBF = `-0.00967018` Chr`9` : `28,891,817`	0.000	0.998	0.002
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.002	0.998	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.002	0.998	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.002	0.998	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.002	0.998	0.000
rs10491678 lBF = `-0.0829272` Chr`9` : `29,568,686`	0.000	0.998	0.002
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.002	0.998	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.002	0.998	0.000
rs2416745 lBF = `0.0798551` Chr`9` : `122,781,254`	0.000	0.998	0.002
rs10429475 lBF = `-0.0905281` Chr`9` : `121,125,746`	0.000	0.998	0.002
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.002	0.998	0.000
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.002	0.998	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.998	0.000
rs62573974 lBF = `21.5749` Chr`9` : `100,536,542`	0.002	0.998	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.001	0.998	0.000
rs3739707 lBF = `0.0130463` Chr`9` : `113,792,706`	0.000	0.998	0.002
rs1468758 lBF = `0.0109589` Chr`9` : `113,807,082`	0.000	0.998	0.002
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.001	0.998	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.001	0.999	0.000
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.001	0.999	0.000
rs944961 lBF = `0.153842` Chr`9` : `122,572,896`	0.001	0.999	0.000
rs10974944 lBF = `17.0373` Chr`9` : `5,070,831`	0.000	0.999	0.001
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.001	0.999	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.001	0.999	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.001	0.999	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.001	0.999	0.000
rs12377462 lBF = `-0.0847644` Chr`9` : `32,914,589`	0.001	0.999	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.001	0.999	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.001	0.999	0.001
rs7866350 lBF = `0.0266558` Chr`9` : `100,983,826`	0.000	0.999	0.001
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs12346945 lBF = `0.0003603` Chr`9` : `98,844,059`	0.001	0.999	0.000
rs76695314 lBF = `0.00021739` Chr`9` : `30,912,925`	0.001	0.999	0.000
rs4258054 lBF = `-0.0497546` Chr`9` : `4,297,892`	0.001	0.999	0.000
rs17425819 lBF = `15.7716` Chr`9` : `5,114,773`	0.000	0.999	0.001
rs4879628 lBF = `-0.0379256` Chr`9` : `32,888,520`	0.001	0.999	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.001	0.999	0.000
rs1929412 lBF = `0.0143466` Chr`9` : `11,951,222`	0.000	0.999	0.001
rs17637172 lBF = `0.0235876` Chr`9` : `122,223,958`	0.001	0.999	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.000	0.999	0.001
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.001	0.999	0.000
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rs12351590 lBF = `-0.0497806` Chr`9` : `12,108,916`	0.000	1.000	0.000
rs7043199 lBF = `-0.0549636` Chr`9` : `2,621,145`	0.000	1.000	0.000
rs10973956 lBF = `-0.0712329` Chr`9` : `38,645,055`	0.000	1.000	0.000
rs1360695 lBF = `-0.078645` Chr`9` : `122,549,086`	0.000	1.000	0.000
rs540885 lBF = `12.7552` Chr`9` : `15,294,596`	0.000	1.000	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.000	1.000	0.000
rs7028759 lBF = `7.73393` Chr`9` : `100,677,883`	0.000	1.000	0.000
rs7847294 lBF = `6.92844` Chr`9` : `5,097,281`	0.000	1.000	0.000
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	1.000	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.000	1.000	0.000
rs2043144 lBF = `-0.00932687` Chr`9` : `73,950,955`	0.000	1.000	0.000
rs11139399 lBF = `-0.0499139` Chr`9` : `84,372,741`	0.000	1.000	0.000
rs16934284 lBF = `-0.0651474` Chr`9` : `119,839,328`	0.000	1.000	0.000
rs8177812 lBF = `-0.072232` Chr`9` : `116,151,527`	0.000	1.000	0.000
rs888219 lBF = `-0.0944461` Chr`9` : `128,929,023`	0.000	1.000	0.000
rs1331623 lBF = `-0.113332` Chr`9` : `122,199,203`	0.000	1.000	0.000
rs10975003 lBF = `8.89331` Chr`9` : `5,213,687`	0.000	1.000	0.000
rs3025386 lBF = `0.417491` Chr`9` : `136,502,764`	0.000	1.000	0.000
rs3025385 lBF = `0.417089` Chr`9` : `136,502,739`	0.000	1.000	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.000	1.000	0.000
rs72658409 lBF = `0.114847` Chr`9` : `22,160,087`	0.000	1.000	0.000
rs16924016 lBF = `0.0976692` Chr`9` : `100,511,331`	0.000	1.000	0.000
rs10858250 lBF = `0.0786668` Chr`9` : `139,119,215`	0.000	1.000	0.000
rs12345625 lBF = `0.0619719` Chr`9` : `31,479,005`	0.000	1.000	0.000
rs10989692 lBF = `0.0578047` Chr`9` : `104,674,555`	0.000	1.000	0.000
rs7856675 lBF = `0.0440273` Chr`9` : `4,555,305`	0.000	1.000	0.000
rs12003072 lBF = `0.013909` Chr`9` : `86,771,161`	0.000	1.000	0.000
rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.000	1.000	0.000
rs755109 lBF = `-0.0827622` Chr`9` : `100,696,203`	0.000	1.000	0.000
rs7866436 lBF = `39.1274` Chr`9` : `100,650,096`	0.000	1.000	0.000
rs4977754 lBF = `7.24733` Chr`9` : `22,062,012`	0.000	1.000	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.000	1.000	0.000
rs3025387 lBF = `0.437517` Chr`9` : `136,502,987`	0.000	1.000	0.000
rs13284520 lBF = `0.430684` Chr`9` : `136,502,572`	0.000	1.000	0.000
rs3025388 lBF = `0.421546` Chr`9` : `136,503,256`	0.000	1.000	0.000
rs6475448 lBF = `0.0720917` Chr`9` : `20,497,142`	0.000	1.000	0.000
rs4836694 lBF = `0.0681041` Chr`9` : `132,939,792`	0.000	1.000	0.000
rs12554999 lBF = `0.00638703` Chr`9` : `82,042,491`	0.000	1.000	0.000
rs1327796 lBF = `-0.0416522` Chr`9` : `112,526,289`	0.000	1.000	0.000
rs12345013 lBF = `-0.0667299` Chr`9` : `79,761,711`	0.000	1.000	0.000
rs2209875 lBF = `-0.0741284` Chr`9` : `91,813,461`	0.000	1.000	0.000
rs1076160 lBF = `-0.0963895` Chr`9` : `135,776,034`	0.000	1.000	0.000
rs717423 lBF = `-0.104788` Chr`9` : `3,844,061`	0.000	1.000	0.000
rs2034764 lBF = `-0.112155` Chr`9` : `2,742,771`	0.000	1.000	0.000
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.000	1.000	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.000	1.000	0.000
rs2472493 lBF = `12.0798` Chr`9` : `107,695,848`	0.000	1.000	0.000
rs11789015 lBF = `0.101262` Chr`9` : `96,716,028`	0.000	1.000	0.000
rs10969106 lBF = `0.00960723` Chr`9` : `29,364,327`	0.000	1.000	0.000
rs7032317 lBF = `-0.0251311` Chr`9` : `135,879,456`	0.000	1.000	0.000
rs1571583 lBF = `-0.0306937` Chr`9` : `4,267,209`	0.000	1.000	0.000
rs640850 lBF = `-0.0404403` Chr`9` : `29,536,618`	0.000	1.000	0.000
rs2977993 lBF = `-0.0870692` Chr`9` : `131,608,786`	0.000	1.000	0.000
rs1887428 lBF = `11.0147` Chr`9` : `4,984,530`	0.000	1.000	0.000
rs979203 lBF = `10.0324` Chr`9` : `13,730,665`	0.000	1.000	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.000	1.000	0.000
rs3812497 lBF = `6.67685` Chr`9` : `140,611,436`	0.000	1.000	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.000	1.000	0.000
rs8190560 lBF = `0.444887` Chr`9` : `99,002,185`	0.000	1.000	0.000
rs10867921 lBF = `-0.0173266` Chr`9` : `85,609,781`	0.000	1.000	0.000
rs35419961 lBF = `-0.031347` Chr`9` : `11,930,364`	0.000	1.000	0.000
rs9408928 lBF = `-0.0348169` Chr`9` : `123,951,917`	0.000	1.000	0.000
rs4879901 lBF = `-0.0799172` Chr`9` : `35,518,997`	0.000	1.000	0.000
rs2807580 lBF = `-0.102958` Chr`9` : `126,926,107`	0.000	1.000	0.000
rs11244084 lBF = `22.0558` Chr`9` : `136,191,010`	0.000	1.000	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.000	1.000	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.000	1.000	0.000
rs17461620 lBF = `0.49764` Chr`9` : `88,963,008`	0.000	1.000	0.000
rs12379034 lBF = `0.109707` Chr`9` : `123,162,666`	0.000	1.000	0.000
rs12342373 lBF = `0.0855483` Chr`9` : `129,402,567`	0.000	1.000	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	1.000	0.000
rs12375901 lBF = `0.0451008` Chr`9` : `23,035,987`	0.000	1.000	0.000
rs294845 lBF = `0.0295763` Chr`9` : `10,139,580`	0.000	1.000	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	1.000	0.000
rs10983238 lBF = `0.021247` Chr`9` : `119,333,683`	0.000	1.000	0.000
rs117347249 lBF = `0.0164813` Chr`9` : `81,368,654`	0.000	1.000	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.000	1.000	0.000
rs11103429 lBF = `-0.0322924` Chr`9` : `137,506,578`	0.000	1.000	0.000
rs2270204 lBF = `-0.0466587` Chr`9` : `131,042,734`	0.000	1.000	0.000
rs2398893 lBF = `-0.0522915` Chr`9` : `96,758,342`	0.000	1.000	0.000
rs28447319 lBF = `-0.0538554` Chr`9` : `33,218,922`	0.000	1.000	0.000
rs943306 lBF = `-0.0978266` Chr`9` : `119,624,675`	0.000	1.000	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.000	1.000	0.000
rs9409154 lBF = `2.40589` Chr`9` : `118,202,716`	0.000	1.000	0.000
rs10817758 lBF = `1.33282` Chr`9` : `118,143,933`	0.000	1.000	0.000
rs7872515 lBF = `0.93142` Chr`9` : `94,822,540`	0.000	1.000	0.000
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.000	1.000	0.000
rs10961577 lBF = `0.0718727` Chr`9` : `14,562,314`	0.000	1.000	0.000
rs10989824 lBF = `0.0225152` Chr`9` : `104,867,838`	0.000	1.000	0.000
rs4879926 lBF = `0.0141498` Chr`9` : `35,700,837`	0.000	1.000	0.000
rs138901640 lBF = `-0.00500691` Chr`9` : `120,793,765`	0.000	1.000	0.000
rs10993160 lBF = `-0.0135773` Chr`9` : `97,068,926`	0.000	1.000	0.000
rs1411916 lBF = `-0.0140596` Chr`9` : `80,940,576`	0.000	1.000	0.000
rs75824829 lBF = `-0.0146663` Chr`9` : `138,268,602`	0.000	1.000	0.000
rs16929097 lBF = `-0.0324599` Chr`9` : `12,521,826`	0.000	1.000	0.000
rs7870753 lBF = `-0.0581608` Chr`9` : `99,201,585`	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

0.7371

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1179

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1167

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9996

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9980

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9971

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9952

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9925

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9898

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9850

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9841

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9815

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9793

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9745

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9745

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9729

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9626

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9605

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9592

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9559

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9556

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9552

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9525

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9511

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9498

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9483

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9475

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9363

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9302

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9263

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9235

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9218

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9152

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9124

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9114

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9030

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8990

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8927

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8842

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8792

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8662

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8628

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8446

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8343

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8318

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8168

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8139

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7961

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7947

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7828

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7745

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7584

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7257

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6984

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6641

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6438

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6153

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5715

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5699

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5539

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5524

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5354

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5201

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5152

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4913

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4790

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4685

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4367

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4352

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4320

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4217

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4183

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3901

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3794

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3298

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3099

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2977

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2426

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2352

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2079

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2076

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2002

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1910

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1881

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1649

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1461

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1455

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1353

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1327

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1321

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1312

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1254

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1250

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1154

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1082

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0995

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0849

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0781

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0673

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0645

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0534

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`)