TreeWAS – [R63.1] Polydipsia

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
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.710	0.290	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.689	0.310	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.680	0.320	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.660	0.340	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.651	0.349	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.629	0.370	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.596	0.404	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.596	0.404	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.592	0.408	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.569	0.431	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.562	0.438	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.548	0.451	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.495	0.504	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.481	0.519	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.477	0.522	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.468	0.532	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.454	0.545	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.437	0.563	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.404	0.596	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.397	0.603	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.388	0.612	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.367	0.633	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.363	0.637	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.362	0.638	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.359	0.641	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.354	0.646	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.343	0.657	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.337	0.663	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.336	0.664	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.329	0.671	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.324	0.675	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.317	0.683	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.310	0.690	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.298	0.701	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.296	0.704	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.292	0.708	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.270	0.729	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.228	0.772	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.224	0.776	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.214	0.786	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.201	0.799	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.201	0.799	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.187	0.813	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.184	0.816	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.179	0.821	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.171	0.829	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.160	0.840	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.157	0.843	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.156	0.843	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.154	0.846	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.144	0.856	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.137	0.862	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.113	0.887	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.112	0.888	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.109	0.891	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.099	0.901	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.098	0.901	0.001
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.092	0.907	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.084	0.916	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.083	0.917	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.080	0.920	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.078	0.922	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.078	0.922	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.077	0.923	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.075	0.925	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.066	0.933	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.063	0.936	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.063	0.937	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.062	0.938	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.056	0.944	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.056	0.944	0.001
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.052	0.948	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.051	0.949	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.050	0.950	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.041	0.959	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.039	0.960	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.037	0.963	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.032	0.968	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.030	0.970	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.027	0.973	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.024	0.975	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.024	0.976	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.022	0.978	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.021	0.979	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.020	0.980	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.019	0.981	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.019	0.981	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.018	0.982	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.016	0.984	0.000
rs16933812 lBF = `0.422339` Chr`9` : `36,969,205`	0.013	0.987	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.012	0.988	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.012	0.988	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.011	0.989	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.011	0.989	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.010	0.990	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.010	0.990	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.009	0.990	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.009	0.991	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.009	0.991	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.009	0.991	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.008	0.991	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.008	0.992	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.007	0.993	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.007	0.993	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.007	0.993	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.006	0.994	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.006	0.994	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.006	0.994	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.006	0.994	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.006	0.994	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.006	0.994	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.006	0.994	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.005	0.994	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.005	0.995	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.005	0.995	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.005	0.995	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.004	0.996	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.004	0.996	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.004	0.996	0.000
rs1535480 lBF = `-0.0655907` Chr`9` : `7,925,381`	0.004	0.996	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.004	0.996	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.004	0.996	0.000
rs10988217 lBF = `0.101471` Chr`9` : `131,888,116`	0.000	0.996	0.004
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.004	0.996	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.004	0.996	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.003	0.997	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.003	0.997	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.003	0.997	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.003	0.997	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.002	0.997	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.002	0.997	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.002	0.998	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.002	0.998	0.000
rs7849270 lBF = `0.180582` Chr`9` : `131,874,641`	0.000	0.998	0.002
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.002	0.998	0.000
rs4742269 lBF = `-0.00745633` Chr`9` : `6,849,317`	0.002	0.998	0.000
rs17637172 lBF = `0.0235876` Chr`9` : `122,223,958`	0.002	0.998	0.000
rs62529502 lBF = `0.0806811` Chr`9` : `9,142,493`	0.002	0.998	0.000
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.002	0.998	0.000
rs10738889 lBF = `-0.0966655` Chr`9` : `32,458,053`	0.000	0.998	0.002
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.001	0.998	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.002	0.998	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.002	0.998	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.002	0.998	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.002	0.998	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.002	0.998	0.000
rs1475545 lBF = `-0.0732173` Chr`9` : `100,316,230`	0.002	0.998	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.001	0.998	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.001	0.998	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.001	0.998	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.001	0.998	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.001	0.998	0.000
rs17459044 lBF = `0.10655` Chr`9` : `131,853,624`	0.000	0.998	0.001
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.001	0.998	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.998	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.001	0.999	0.000
rs10975870 lBF = `-0.0586945` Chr`9` : `6,880,263`	0.000	0.999	0.001
rs7875024 lBF = `0.0519451` Chr`9` : `16,288,424`	0.001	0.999	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.999	0.000
rs4878712 lBF = `-0.102975` Chr`9` : `37,654,257`	0.001	0.999	0.000
rs11795343 lBF = `0.82369` Chr`9` : `32,523,737`	0.000	0.999	0.001
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.001	0.999	0.000
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.001	0.999	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.001	0.999	0.000
rs3847225 lBF = `-0.0152464` Chr`9` : `1,790,685`	0.000	0.999	0.001
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.001	0.999	0.000
rs12346945 lBF = `0.0003603` Chr`9` : `98,844,059`	0.001	0.999	0.000
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs76695314 lBF = `0.00021739` Chr`9` : `30,912,925`	0.001	0.999	0.000
rs11793419 lBF = `-0.0172975` Chr`9` : `10,395,255`	0.000	0.999	0.001
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.001	0.999	0.000
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.001	0.999	0.001
rs2150864 lBF = `-0.0144615` Chr`9` : `29,363,265`	0.000	0.999	0.001
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.001	0.999	0.000
rs17785420 lBF = `0.00018714` Chr`9` : `30,920,638`	0.001	0.999	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.001	0.999	0.000
rs114241027 lBF = `0.00030213` Chr`9` : `12,802,823`	0.001	0.999	0.000
rs148861184 lBF = `0.00012183` Chr`9` : `30,975,637`	0.001	0.999	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.001	0.999	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.001	0.999	0.000
rs143976741 lBF = `0.0000724` Chr`9` : `30,966,395`	0.001	0.999	0.000
rs138792676 lBF = `0.0000724` Chr`9` : `30,973,698`	0.001	0.999	0.000
rs145505122 lBF = `0.00005931` Chr`9` : `30,975,566`	0.001	0.999	0.000
rs138746541 lBF = `0.00004011` Chr`9` : `30,904,471`	0.001	0.999	0.000
rs189970609 lBF = `0.00004011` Chr`9` : `30,898,161`	0.001	0.999	0.000
rs139528199 lBF = `0.00004011` Chr`9` : `30,905,405`	0.001	0.999	0.000
rs139088314 lBF = `0.00004011` Chr`9` : `30,902,950`	0.001	0.999	0.000
rs149450639 lBF = `0.00003907` Chr`9` : `30,907,835`	0.001	0.999	0.000
rs17785414 lBF = `0.00003907` Chr`9` : `30,916,630`	0.001	0.999	0.000
rs80324951 lBF = `0.00003907` Chr`9` : `30,910,159`	0.001	0.999	0.000
rs138549889 lBF = `0.00003907` Chr`9` : `30,928,039`	0.001	0.999	0.000
rs149406381 lBF = `0.00003907` Chr`9` : `30,915,159`	0.001	0.999	0.000
rs147368481 lBF = `0.00003907` Chr`9` : `30,912,421`	0.001	0.999	0.000
rs145444918 lBF = `0.00003907` Chr`9` : `30,934,829`	0.001	0.999	0.000
rs61732491 lBF = `0.00003` Chr`9` : `131,186,783`	0.001	0.999	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.000	0.999	0.001
rs184676284 lBF = `0.0000136` Chr`9` : `30,972,355`	0.001	0.999	0.000
rs151101851 lBF = `0.0000136` Chr`9` : `30,955,024`	0.001	0.999	0.000
rs184557780 lBF = `0.0000136` Chr`9` : `30,953,076`	0.001	0.999	0.000
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rs118106262 lBF = `0.0423095` Chr`9` : `8,658,954`	0.000	1.000	0.000
rs12001137 lBF = `-0.00100269` Chr`9` : `11,964,872`	0.000	1.000	0.000
rs10974531 lBF = `-0.0178295` Chr`9` : `4,426,631`	0.000	1.000	0.000
rs144649413 lBF = `-0.0365211` Chr`9` : `106,369,944`	0.000	1.000	0.000
rs4626664 lBF = `-0.0423973` Chr`9` : `9,261,737`	0.000	1.000	0.000
rs3904778 lBF = `-0.0629115` Chr`9` : `16,681,993`	0.000	1.000	0.000
rs10117734 lBF = `-0.0734668` Chr`9` : `4,404,786`	0.000	1.000	0.000
rs907581 lBF = `41.3431` Chr`9` : `100,622,189`	0.000	1.000	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.000	1.000	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.000	1.000	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.000	1.000	0.000
rs7853989 lBF = `7.17616` Chr`9` : `136,131,592`	0.000	1.000	0.000
rs2297603 lBF = `6.02943` Chr`9` : `101,778,265`	0.000	1.000	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.000	1.000	0.000
rs551517 lBF = `1.32322` Chr`9` : `113,636,793`	0.000	1.000	0.000
rs77922938 lBF = `0.314697` Chr`9` : `111,060,196`	0.000	1.000	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.000	1.000	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	1.000	0.000
rs4743034 lBF = `0.0384534` Chr`9` : `109,632,353`	0.000	1.000	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.000	1.000	0.000
rs1468758 lBF = `0.0109589` Chr`9` : `113,807,082`	0.000	1.000	0.000
rs17481720 lBF = `0.0076358` Chr`9` : `131,889,294`	0.000	1.000	0.000
rs1413299 lBF = `0.00704083` Chr`9` : `101,761,241`	0.000	1.000	0.000
rs140993796 lBF = `-0.00512351` Chr`9` : `111,536,356`	0.000	1.000	0.000
rs2151145 lBF = `-0.0319378` Chr`9` : `82,345,881`	0.000	1.000	0.000
rs7873730 lBF = `-0.0353081` Chr`9` : `114,303,679`	0.000	1.000	0.000
rs2398893 lBF = `-0.0522915` Chr`9` : `96,758,342`	0.000	1.000	0.000
rs830407 lBF = `-0.0603549` Chr`9` : `33,217,266`	0.000	1.000	0.000
rs10970976 lBF = `-0.0932967` Chr`9` : `32,433,526`	0.000	1.000	0.000
rs10125737 lBF = `-0.0994123` Chr`9` : `81,083,897`	0.000	1.000	0.000
rs10781380 lBF = `-0.10469` Chr`9` : `79,408,144`	0.000	1.000	0.000
rs2309891 lBF = `-0.119839` Chr`9` : `73,840,918`	0.000	1.000	0.000
rs925489 lBF = `73.5008` Chr`9` : `100,546,600`	0.000	1.000	0.000
rs10759944 lBF = `70.3622` Chr`9` : `100,556,972`	0.000	1.000	0.000
rs10810657 lBF = `20.0354` Chr`9` : `16,884,586`	0.000	1.000	0.000
rs4742415 lBF = `6.78274` Chr`9` : `801,706`	0.000	1.000	0.000
rs16931322 lBF = `6.6231` Chr`9` : `14,078,878`	0.000	1.000	0.000
rs12349081 lBF = `0.551151` Chr`9` : `21,951,902`	0.000	1.000	0.000
rs60589809 lBF = `0.550744` Chr`9` : `92,937,726`	0.000	1.000	0.000
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.000	1.000	0.000
rs11144781 lBF = `0.229588` Chr`9` : `78,793,421`	0.000	1.000	0.000
rs2210430 lBF = `0.0966713` Chr`9` : `25,501,297`	0.000	1.000	0.000
rs3780792 lBF = `0.0529221` Chr`9` : `136,835,343`	0.000	1.000	0.000
rs10814247 lBF = `0.0487544` Chr`9` : `35,507,290`	0.000	1.000	0.000
rs4149311 lBF = `0.00594012` Chr`9` : `107,588,777`	0.000	1.000	0.000
rs2043144 lBF = `-0.00932687` Chr`9` : `73,950,955`	0.000	1.000	0.000
rs7851437 lBF = `-0.00994799` Chr`9` : `28,395,332`	0.000	1.000	0.000
rs10125054 lBF = `-0.0344302` Chr`9` : `114,798,037`	0.000	1.000	0.000
rs1757948 lBF = `-0.0515205` Chr`9` : `81,310,680`	0.000	1.000	0.000
rs10815925 lBF = `-0.0813009` Chr`9` : `8,712,601`	0.000	1.000	0.000
rs12344583 lBF = `-0.088502` Chr`9` : `136,723,520`	0.000	1.000	0.000
rs7043482 lBF = `-0.0991513` Chr`9` : `85,135,915`	0.000	1.000	0.000
rs7850258 lBF = `72.8075` Chr`9` : `100,549,013`	0.000	1.000	0.000
rs633862 lBF = `50.6568` Chr`9` : `136,155,444`	0.000	1.000	0.000
rs1348386 lBF = `41.6856` Chr`9` : `100,612,807`	0.000	1.000	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.000	1.000	0.000
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	1.000	0.000
rs7849581 lBF = `0.151245` Chr`9` : `9,924,724`	0.000	1.000	0.000
rs12342373 lBF = `0.0855483` Chr`9` : `129,402,567`	0.000	1.000	0.000
rs138901640 lBF = `-0.00500691` Chr`9` : `120,793,765`	0.000	1.000	0.000
rs842304 lBF = `-0.0144229` Chr`9` : `7,682,601`	0.000	1.000	0.000
rs10867921 lBF = `-0.0173266` Chr`9` : `85,609,781`	0.000	1.000	0.000
rs1755289 lBF = `-0.0246071` Chr`9` : `17,938,351`	0.000	1.000	0.000
rs16934284 lBF = `-0.0651474` Chr`9` : `119,839,328`	0.000	1.000	0.000
rs7035284 lBF = `-0.0671117` Chr`9` : `21,678,973`	0.000	1.000	0.000
rs457287 lBF = `-0.0766499` Chr`9` : `4,834,394`	0.000	1.000	0.000
rs11998763 lBF = `-0.0841169` Chr`9` : `1,787,687`	0.000	1.000	0.000
rs10121009 lBF = `-0.084287` Chr`9` : `35,269,819`	0.000	1.000	0.000
rs1443438 lBF = `72.9209` Chr`9` : `100,550,028`	0.000	1.000	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.000	1.000	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.000	1.000	0.000
rs7028759 lBF = `7.73393` Chr`9` : `100,677,883`	0.000	1.000	0.000
rs4074785 lBF = `6.03962` Chr`9` : `21,981,583`	0.000	1.000	0.000
rs8176722 lBF = `5.85039` Chr`9` : `136,132,754`	0.000	1.000	0.000
rs17054265 lBF = `4.41443` Chr`9` : `91,260,562`	0.000	1.000	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.000	1.000	0.000
rs10814916 lBF = `1.50567` Chr`9` : `4,293,150`	0.000	1.000	0.000
rs7852296 lBF = `1.12641` Chr`9` : `126,352,218`	0.000	1.000	0.000
rs13300218 lBF = `1.03505` Chr`9` : `139,399,641`	0.000	1.000	0.000
rs1571228 lBF = `0.440091` Chr`9` : `18,930,222`	0.000	1.000	0.000
rs817300 lBF = `0.0661919` Chr`9` : `98,380,222`	0.000	1.000	0.000
rs16924631 lBF = `0.00615846` Chr`9` : `6,486,308`	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
rs58823963 lBF = `-0.0172655` Chr`9` : `9,550,389`	0.000	1.000	0.000
rs35419961 lBF = `-0.031347` Chr`9` : `11,930,364`	0.000	1.000	0.000
rs10812227 lBF = `-0.0390951` Chr`9` : `2,548,556`	0.000	1.000	0.000
rs10982990 lBF = `-0.0404249` Chr`9` : `118,658,716`	0.000	1.000	0.000
rs3118515 lBF = `-0.0424838` Chr`9` : `137,436,314`	0.000	1.000	0.000
rs2839874 lBF = `-0.0886796` Chr`9` : `116,890,163`	0.000	1.000	0.000
rs2930713 lBF = `-0.0916812` Chr`9` : `7,649,442`	0.000	1.000	0.000
rs3118667 lBF = `-0.119986` Chr`9` : `136,291,063`	0.000	1.000	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.000	1.000	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.000	1.000	0.000
rs965513 lBF = `71.3324` Chr`9` : `100,556,109`	0.000	1.000	0.000
rs17694493 lBF = `9.13598` Chr`9` : `22,041,998`	0.000	1.000	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	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

0.3455

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0572

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9866

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9725

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9646

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9505

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9499

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9493

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9480

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9422

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9344

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9248

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9042

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8723

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8715

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8698

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8442

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8440

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8418

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8382

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8134

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7960

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7957

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7762

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7759

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7751

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7663

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7555

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7551

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7513

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7503

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7455

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7443

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7390

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7262

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7246

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7194

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7160

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7156

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7146

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7030

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6972

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6641

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6471

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6355

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6277

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6063

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6036

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5779

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5396

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5264

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5225

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5170

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5148

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5024

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5019

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4969

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4960

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4736

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4629

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4611

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4557

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4420

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4297

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4228

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4176

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4153

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4087

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4035

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3859

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3756

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3704

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3637

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3615

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3592

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3496

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3488

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3457

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3381

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3377

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3291

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3241

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2999

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2979

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2696

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2426

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2373

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2350

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1948

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1610

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1503

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1411

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1375

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1353

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1275

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1131

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1084

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0973

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0951

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0934

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0934

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0763

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0671

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0594

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0525

Cluster X0165

log Bayes Factor = 303.727

contains 12 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`)