TreeWAS – [R52.0] Acute pain

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
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.695	0.305	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.636	0.363	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.583	0.417	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.579	0.421	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.526	0.474	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.518	0.481	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.515	0.484	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.508	0.492	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.493	0.507	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.478	0.522	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.472	0.528	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.468	0.532	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.459	0.540	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.442	0.558	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.437	0.563	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.434	0.566	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.424	0.576	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.417	0.582	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.417	0.583	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.417	0.583	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.414	0.586	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.413	0.587	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.410	0.589	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.400	0.600	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.395	0.604	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.388	0.611	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.375	0.625	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.359	0.641	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.354	0.646	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.350	0.649	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.329	0.671	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.328	0.671	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.326	0.674	0.001
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.314	0.686	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.296	0.703	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.284	0.716	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.276	0.724	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.263	0.737	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.250	0.750	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.247	0.753	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.239	0.761	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.233	0.766	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.216	0.784	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.200	0.799	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.190	0.810	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.172	0.827	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.158	0.842	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.153	0.846	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.151	0.849	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.151	0.849	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.149	0.851	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.143	0.856	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.134	0.866	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.130	0.870	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.128	0.872	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.109	0.891	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.104	0.896	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.101	0.899	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.101	0.899	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.098	0.902	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.098	0.902	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.093	0.907	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.093	0.907	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.083	0.917	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.078	0.922	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.077	0.923	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.071	0.928	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.066	0.934	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.065	0.935	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.063	0.936	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.056	0.943	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.056	0.944	0.001
rs6475448 lBF = `0.0720917` Chr`9` : `20,497,142`	0.000	0.944	0.056
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.049	0.951	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.047	0.953	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.041	0.959	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.040	0.959	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.040	0.960	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.040	0.960	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.038	0.961	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.034	0.966	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.032	0.968	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.030	0.969	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.030	0.970	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.029	0.970	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.024	0.976	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.024	0.976	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.023	0.976	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.023	0.977	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.022	0.978	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.021	0.979	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.020	0.980	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.018	0.981	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.018	0.982	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.017	0.983	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.014	0.986	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.014	0.986	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.013	0.987	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.012	0.987	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.011	0.989	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.011	0.989	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.010	0.990	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.010	0.990	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.010	0.990	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.009	0.991	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.008	0.992	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.007	0.992	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.007	0.993	0.000
rs2251885 lBF = `0.072734` Chr`9` : `103,793,544`	0.000	0.993	0.007
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.007	0.993	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.006	0.993	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.006	0.994	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.006	0.994	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.006	0.994	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.006	0.994	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.006	0.994	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.006	0.994	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.005	0.994	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.005	0.994	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.005	0.994	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.005	0.995	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.005	0.995	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.005	0.995	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.004	0.995	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.004	0.996	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.004	0.996	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.004	0.996	0.000
rs4149327 lBF = `-0.0440712` Chr`9` : `107,555,711`	0.004	0.996	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.003	0.997	0.000
rs10980926 lBF = `-0.0838651` Chr`9` : `114,293,634`	0.003	0.997	0.000
rs10124907 lBF = `-0.0997393` Chr`9` : `25,659,637`	0.003	0.997	0.000
rs10441737 lBF = `-0.0880793` Chr`9` : `114,301,585`	0.003	0.997	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.002	0.997	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.003	0.997	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.002	0.997	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.002	0.997	0.000
rs385893 lBF = `-0.114248` Chr`9` : `4,763,176`	0.000	0.997	0.002
rs6475216 lBF = `-0.11927` Chr`9` : `18,444,138`	0.000	0.997	0.002
rs457287 lBF = `-0.0766499` Chr`9` : `4,834,394`	0.000	0.998	0.002
rs7851693 lBF = `0.0180335` Chr`9` : `133,478,827`	0.000	0.998	0.002
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.002	0.998	0.000
rs7849420 lBF = `-0.0223854` Chr`9` : `21,499,624`	0.000	0.998	0.002
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.002	0.998	0.000
rs12352279 lBF = `0.0736213` Chr`9` : `678,837`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.002	0.998	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.002	0.998	0.000
rs7466269 lBF = `0.0293827` Chr`9` : `133,464,084`	0.000	0.998	0.002
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.002	0.998	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.001	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.001	0.998	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.002	0.998	0.000
rs7042864 lBF = `-0.0915002` Chr`9` : `110,872,307`	0.000	0.998	0.002
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.002	0.998	0.000
rs423955 lBF = `-0.0606177` Chr`9` : `4,792,339`	0.000	0.998	0.002
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.002	0.998	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.002	0.998	0.000
rs4879677 lBF = `-0.0852877` Chr`9` : `27,664,432`	0.000	0.998	0.002
rs7875611 lBF = `-0.0751666` Chr`9` : `95,679,009`	0.002	0.998	0.000
rs1327796 lBF = `-0.0416522` Chr`9` : `112,526,289`	0.000	0.998	0.002
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.001	0.998	0.000
rs10992471 lBF = `-0.0304288` Chr`9` : `95,559,505`	0.002	0.998	0.000
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.001	0.998	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.998	0.000
rs2273788 lBF = `-0.0277475` Chr`9` : `114,348,617`	0.001	0.998	0.000
rs7042161 lBF = `-0.072154` Chr`9` : `113,197,263`	0.000	0.999	0.001
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.001	0.999	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.001	0.999	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.999	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.001	0.999	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.001	0.999	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.001	0.999	0.000
rs7046653 lBF = `0.676225` Chr`9` : `27,490,967`	0.000	0.999	0.001
rs1340043 lBF = `-0.0733212` Chr`9` : `18,458,068`	0.000	0.999	0.001
rs10809457 lBF = `-0.080016` Chr`9` : `11,402,319`	0.000	0.999	0.001
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.000	0.999	0.001
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.001	0.999	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.000	0.999	0.001
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.001	0.999	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.000	0.999	0.001
rs2812378 lBF = `-0.146168` Chr`9` : `34,710,260`	0.000	0.999	0.001
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.001	0.999	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.001	0.999	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.001	0.999	0.000
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs640850 lBF = `-0.0404403` Chr`9` : `29,536,618`	0.000	0.999	0.001
rs12346945 lBF = `0.0003603` Chr`9` : `98,844,059`	0.001	0.999	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.001	0.999	0.000
rs76695314 lBF = `0.00021739` Chr`9` : `30,912,925`	0.001	0.999	0.000
rs7031325 lBF = `0.0899183` Chr`9` : `6,655,056`	0.001	0.999	0.000
rs10809650 lBF = `-0.00109626` Chr`9` : `1,202,371`	0.001	0.999	0.000
rs10785877 lBF = `-0.0647976` Chr`9` : `137,125,501`	0.000	0.999	0.001
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.001	0.999	0.000
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
rs4837752 lBF = `0.307963` Chr`9` : `123,056,637`	0.001	0.999	0.000
rs77362122 lBF = `0.0738843` Chr`9` : `87,380,673`	0.001	0.999	0.000
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.001	0.999	0.000
rs17785420 lBF = `0.00018714` Chr`9` : `30,920,638`	0.001	0.999	0.000
rs6586 lBF = `13.6487` Chr`9` : `100,666,931`	0.001	0.999	0.000
rs7023954 lBF = `12.2706` Chr`9` : `21,816,758`	0.001	0.999	0.000
rs4132699 lBF = `1.06078` Chr`9` : `92,036,427`	0.000	0.999	0.001
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rs10961780 lBF = `-0.0541988` Chr`9` : `14,898,161`	0.000	0.999	0.000
rs1577330 lBF = `-0.0848498` Chr`9` : `27,075,715`	0.001	0.999	0.000
rs540885 lBF = `12.7552` Chr`9` : `15,294,596`	0.001	0.999	0.000
rs9409154 lBF = `2.40589` Chr`9` : `118,202,716`	0.000	0.999	0.000
rs3802344 lBF = `0.0328771` Chr`9` : `133,534,279`	0.001	0.999	0.000
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.999	0.000
rs3747547 lBF = `-0.045658` Chr`9` : `37,916,408`	0.000	0.999	0.001
rs12554707 lBF = `-0.0688935` Chr`9` : `22,842,202`	0.000	0.999	0.000
rs62573974 lBF = `21.5749` Chr`9` : `100,536,542`	0.000	0.999	0.001
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.000	0.999	0.000
rs7023329 lBF = `10.5956` Chr`9` : `21,816,528`	0.000	0.999	0.001
rs340928 lBF = `9.63219` Chr`9` : `6,086,913`	0.000	0.999	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.000	0.999	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.000	0.999	0.000
rs10816533 lBF = `0.0260514` Chr`9` : `99,539,138`	0.000	0.999	0.000
rs115613582 lBF = `0.00708643` Chr`9` : `5,482,489`	0.000	0.999	0.000
rs10969853 lBF = `-0.0427882` Chr`9` : `30,751,220`	0.000	0.999	0.001
rs10810865 lBF = `-0.0448681` Chr`9` : `17,895,105`	0.000	0.999	0.001
rs16931322 lBF = `6.6231` Chr`9` : `14,078,878`	0.000	0.999	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.000	0.999	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.000	0.999	0.000
rs13288988 lBF = `0.636504` Chr`9` : `11,114,858`	0.000	0.999	0.000
rs10988449 lBF = `0.00172677` Chr`9` : `132,370,360`	0.000	0.999	0.001
rs4626664 lBF = `-0.0423973` Chr`9` : `9,261,737`	0.000	0.999	0.000
rs4740829 lBF = `-0.0624501` Chr`9` : `5,881,364`	0.000	0.999	0.000
rs2209875 lBF = `-0.0741284` Chr`9` : `91,813,461`	0.001	0.999	0.000
rs12352894 lBF = `-0.0786911` Chr`9` : `38,197,384`	0.001	0.999	0.000
rs7848024 lBF = `-0.0887192` Chr`9` : `105,573,037`	0.001	0.999	0.000
rs2071520 lBF = `-0.0996788` Chr`9` : `117,880,792`	0.001	0.999	0.000
rs76962799 lBF = `11.1339` Chr`9` : `6,187,132`	0.000	0.999	0.000
rs4977754 lBF = `7.24733` Chr`9` : `22,062,012`	0.000	0.999	0.000
rs3849942 lBF = `0.390597` Chr`9` : `27,543,281`	0.000	0.999	0.000
rs3849943 lBF = `0.388955` Chr`9` : `27,543,382`	0.000	0.999	0.000
rs290986 lBF = `0.261516` Chr`9` : `93,563,536`	0.000	0.999	0.001
rs4978053 lBF = `0.235917` Chr`9` : `26,208,857`	0.000	0.999	0.000
rs7037266 lBF = `0.0637594` Chr`9` : `6,942,940`	0.001	0.999	0.000
rs1257763 lBF = `0.0407256` Chr`9` : `96,893,945`	0.000	0.999	0.000
rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.000	0.999	0.000
rs3736986 lBF = `-0.0063385` Chr`9` : `36,194,569`	0.000	0.999	0.000
rs2043144 lBF = `-0.00932687` Chr`9` : `73,950,955`	0.000	0.999	0.000
rs17641078 lBF = `-0.0207988` Chr`9` : `1,056,959`	0.000	0.999	0.000
rs10980921 lBF = `-0.0418995` Chr`9` : `114,279,912`	0.000	0.999	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.000	0.999	0.000
rs2381413 lBF = `12.4574` Chr`9` : `6,167,017`	0.001	0.999	0.000
rs1011970 lBF = `9.65924` Chr`9` : `22,062,134`	0.000	0.999	0.000
rs10975740 lBF = `5.23448` Chr`9` : `676,741`	0.000	0.999	0.000
rs11144134 lBF = `0.253491` Chr`9` : `77,499,796`	0.000	0.999	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.000	0.999	0.000
rs11144781 lBF = `0.229588` Chr`9` : `78,793,421`	0.000	0.999	0.000
rs118043898 lBF = `0.0258933` Chr`9` : `24,431,792`	0.000	0.999	0.000
rs2814707 lBF = `-0.043331` Chr`9` : `27,536,397`	0.000	0.999	0.000
rs3731239 lBF = `69.4018` Chr`9` : `21,974,218`	0.000	0.999	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.000	0.999	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.000	0.999	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.000	0.999	0.000
rs7872515 lBF = `0.93142` Chr`9` : `94,822,540`	0.000	0.999	0.000
rs11141597 lBF = `0.16767` Chr`9` : `89,527,458`	0.000	0.999	0.000
rs4838320 lBF = `0.163612` Chr`9` : `128,831,097`	0.000	0.999	0.000
rs2472386 lBF = `0.104768` Chr`9` : `107,601,541`	0.000	0.999	0.000
rs2210430 lBF = `0.0966713` Chr`9` : `25,501,297`	0.000	0.999	0.000
rs7866350 lBF = `0.0266558` Chr`9` : `100,983,826`	0.000	0.999	0.000
rs4743805 lBF = `0.00111846` Chr`9` : `107,869,834`	0.000	0.999	0.000
rs138901640 lBF = `-0.00500691` Chr`9` : `120,793,765`	0.000	0.999	0.000
rs4468007 lBF = `-0.00940882` Chr`9` : `124,594,339`	0.000	0.999	0.000
rs10758161 lBF = `-0.0411922` Chr`9` : `32,755,028`	0.000	0.999	0.000
rs7021663 lBF = `-0.0602114` Chr`9` : `136,676,014`	0.000	0.999	0.000
rs12345013 lBF = `-0.0667299` Chr`9` : `79,761,711`	0.000	0.999	0.000
rs7032940 lBF = `-0.0818828` Chr`9` : `112,945,405`	0.000	0.999	0.000
rs1889899 lBF = `-0.10378` Chr`9` : `26,789,940`	0.000	0.999	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.000	1.000	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.000	1.000	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.000	1.000	0.000
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	1.000	0.000
rs11795343 lBF = `0.82369` Chr`9` : `32,523,737`	0.000	1.000	0.000
rs8176720 lBF = `0.244702` Chr`9` : `136,132,873`	0.000	1.000	0.000
rs4742971 lBF = `0.166645` Chr`9` : `108,655,096`	0.000	1.000	0.000
rs10984561 lBF = `0.0474393` Chr`9` : `122,258,577`	0.000	1.000	0.000
rs113290458 lBF = `0.0418686` Chr`9` : `128,456,000`	0.000	1.000	0.000
rs4743034 lBF = `0.0384534` Chr`9` : `109,632,353`	0.000	1.000	0.000
rs16925187 lBF = `0.00717` Chr`9` : `7,043,455`	0.000	1.000	0.000
rs16924631 lBF = `0.00615846` Chr`9` : `6,486,308`	0.000	1.000	0.000
rs7029145 lBF = `-0.00263039` Chr`9` : `27,882,653`	0.000	1.000	0.000
rs774359 lBF = `-0.0186871` Chr`9` : `27,561,049`	0.000	1.000	0.000
rs10968576 lBF = `-0.0190386` Chr`9` : `28,414,339`	0.000	1.000	0.000
rs10988428 lBF = `-0.0203366` Chr`9` : `132,339,070`	0.000	1.000	0.000
rs7873730 lBF = `-0.0353081` Chr`9` : `114,303,679`	0.000	1.000	0.000
rs4636294 lBF = `14.3539` Chr`9` : `21,747,803`	0.000	1.000	0.000
rs78757963 lBF = `12.3274` Chr`9` : `6,282,511`	0.000	1.000	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.000	1.000	0.000
rs17694493 lBF = `9.13598` Chr`9` : `22,041,998`	0.000	1.000	0.000
rs10988542 lBF = `0.542065` Chr`9` : `132,657,264`	0.000	1.000	0.000
rs7849581 lBF = `0.151245` Chr`9` : `9,924,724`	0.000	1.000	0.000
rs649057 lBF = `0.130024` Chr`9` : `102,234,323`	0.000	1.000	0.000
rs12006166 lBF = `0.0273655` Chr`9` : `118,424,987`	0.000	1.000	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	1.000	0.000
rs10989824 lBF = `0.0225152` Chr`9` : `104,867,838`	0.000	1.000	0.000
rs4576506 lBF = `-0.0228237` Chr`9` : `31,546,472`	0.000	1.000	0.000
rs9785234 lBF = `-0.0285285` Chr`9` : `98,930,250`	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

0.5045

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0877

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0627

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9981

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9971

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9812

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9786

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9758

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9632

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9623

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9605

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9546

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9513

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9409

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9362

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9333

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9220

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9216

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9208

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9204

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9164

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9133

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9110

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8987

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8900

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8841

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8830

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8821

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8802

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8740

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8740

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8647

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8639

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8628

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8550

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8509

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8411

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8142

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8109

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8043

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7991

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7971

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7789

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7607

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7595

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7506

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7494

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7442

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7442

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7390

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7235

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7223

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6892

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6855

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6705

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6675

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6565

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6502

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6427

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6398

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6296

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6201

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6066

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6028

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6020

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5975

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5930

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5821

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5482

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5377

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5174

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5124

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5044

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4934

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4801

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4707

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4621

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4587

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4548

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4494

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4346

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4296

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4058

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3924

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3160

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2658

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2621

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2591

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2590

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2405

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2260

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1855

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1480

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1438

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1243

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1215

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1172

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1160

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1120

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1045

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1034

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0917

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0845

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0814

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0613

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`)