TreeWAS – [R68.0] Hypothermia, not associated with low environmental temperature

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
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.690	0.310	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.618	0.382	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.560	0.440	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.547	0.453	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.537	0.462	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.534	0.466	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.533	0.467	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.530	0.469	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.525	0.475	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.508	0.492	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.507	0.493	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.500	0.500	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.500	0.500	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.498	0.502	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.478	0.522	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.476	0.524	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.459	0.540	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.445	0.555	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.431	0.569	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.412	0.587	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.408	0.591	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.403	0.596	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.401	0.598	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.401	0.599	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.394	0.606	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.388	0.612	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.386	0.614	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.379	0.621	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.377	0.623	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.371	0.629	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.364	0.635	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.339	0.660	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.331	0.669	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.330	0.670	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.328	0.671	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.326	0.673	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.303	0.697	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.294	0.705	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.259	0.741	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.231	0.768	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.227	0.773	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.220	0.779	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.211	0.789	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.200	0.800	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.190	0.810	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.170	0.830	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.168	0.832	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.159	0.840	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.151	0.849	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.144	0.855	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.143	0.856	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.143	0.856	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.143	0.857	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.137	0.863	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`	0.120	0.880	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.113	0.887	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.113	0.887	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.104	0.895	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.102	0.898	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.100	0.900	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.097	0.903	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.096	0.904	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.090	0.910	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.089	0.911	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.079	0.921	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.074	0.926	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.071	0.928	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.068	0.932	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.066	0.934	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.064	0.936	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.063	0.937	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.061	0.939	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.059	0.941	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.056	0.944	0.001
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.044	0.956	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.043	0.956	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.042	0.958	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.041	0.959	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.040	0.959	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.040	0.960	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.038	0.962	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.035	0.965	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.030	0.970	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.028	0.972	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.028	0.972	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.027	0.973	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.022	0.978	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.018	0.981	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.018	0.982	0.000
rs2842483 lBF = `-0.0690737` Chr`9` : `78,906,150`	0.000	0.982	0.018
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.017	0.983	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.017	0.983	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.016	0.984	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.015	0.985	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.015	0.985	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.015	0.985	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.014	0.985	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.013	0.987	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.012	0.987	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.012	0.988	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`	0.010	0.990	0.000
rs1333040 lBF = `229.258` Chr`9` : `22,083,404`	0.010	0.990	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.008	0.991	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.008	0.992	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.008	0.992	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.008	0.992	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.008	0.992	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.007	0.993	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.007	0.993	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.006	0.993	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	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
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.006	0.994	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.006	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
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.005	0.995	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.005	0.995	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.005	0.995	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.005	0.995	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`	0.004	0.996	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.004	0.996	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.003	0.996	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.000	0.996	0.003
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.000	0.996	0.003
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.000	0.997	0.003
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.003	0.997	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.000	0.997	0.003
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.003	0.997	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.000	0.997	0.003
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.003	0.997	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.002	0.997	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.000	0.997	0.003
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.003	0.997	0.000
rs1537370 lBF = `339.752` Chr`9` : `22,084,310`	0.000	0.997	0.003
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.002	0.997	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.000	0.997	0.003
rs10757269 lBF = `323.969` Chr`9` : `22,072,264`	0.000	0.997	0.003
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.000	0.997	0.003
rs1757948 lBF = `-0.0515205` Chr`9` : `81,310,680`	0.002	0.998	0.000
rs6475606 lBF = `331.139` Chr`9` : `22,081,850`	0.000	0.998	0.002
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.000	0.998	0.002
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.000	0.998	0.002
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.000	0.998	0.002
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.002	0.998	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.000	0.998	0.002
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.002	0.998	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.002	0.998	0.000
rs7027930 lBF = `0.02537` Chr`9` : `565,917`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.002	0.998	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.002	0.998	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.002	0.998	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.002	0.998	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.002	0.998	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.002	0.998	0.000
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.002	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.001	0.998	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.000	0.998	0.002
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.002	0.998	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.002	0.998	0.000
rs7870863 lBF = `1.63679` Chr`9` : `11,136,285`	0.000	0.998	0.002
rs10818593 lBF = `-0.0430107` Chr`9` : `124,560,853`	0.002	0.998	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.001	0.998	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.001	0.998	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.001	0.998	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.001	0.998	0.000
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.001	0.998	0.000
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.001	0.998	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.001	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	0.999	0.000
rs7043199 lBF = `-0.0549636` Chr`9` : `2,621,145`	0.000	0.999	0.001
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.001	0.999	0.000
rs10815925 lBF = `-0.0813009` Chr`9` : `8,712,601`	0.001	0.999	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.001	0.999	0.000
rs1831521 lBF = `0.00905263` Chr`9` : `93,409,357`	0.000	0.999	0.001
rs3138083 lBF = `0.535057` Chr`9` : `35,648,950`	0.000	0.999	0.001
rs61271866 lBF = `80.5256` Chr`9` : `21,997,015`	0.001	0.999	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.001	0.999	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.001	0.999	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.001	0.999	0.001
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.000	0.999	0.001
rs13288988 lBF = `0.636504` Chr`9` : `11,114,858`	0.000	0.999	0.001
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.001	0.999	0.000
rs3919995 lBF = `-0.00926313` Chr`9` : `109,437,968`	0.000	0.999	0.001
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.000	0.999	0.001
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	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
rs7856675 lBF = `0.0440273` Chr`9` : `4,555,305`	0.001	0.999	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.001	0.999	0.000
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
rs10812610 lBF = `1.17372` Chr`9` : `27,533,984`	0.000	0.999	0.001
rs17785420 lBF = `0.00018714` Chr`9` : `30,920,638`	0.001	0.999	0.000
rs17641078 lBF = `-0.0207988` Chr`9` : `1,056,959`	0.000	0.999	0.001
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rs10810657 lBF = `20.0354` Chr`9` : `16,884,586`	0.000	0.999	0.001
rs10965153 lBF = `6.57407` Chr`9` : `21,834,210`	0.001	0.999	0.000
rs10758593 lBF = `0.504041` Chr`9` : `4,292,083`	0.000	0.999	0.001
rs11144781 lBF = `0.229588` Chr`9` : `78,793,421`	0.000	0.999	0.000
rs7025162 lBF = `0.211559` Chr`9` : `136,166,346`	0.001	0.999	0.000
rs2891316 lBF = `0.131552` Chr`9` : `28,587,994`	0.001	0.999	0.000
rs4741351 lBF = `0.0679959` Chr`9` : `14,222,782`	0.000	0.999	0.001
rs10988449 lBF = `0.00172677` Chr`9` : `132,370,360`	0.000	0.999	0.001
rs11140653 lBF = `-0.0449805` Chr`9` : `87,152,509`	0.000	0.999	0.001
rs4258054 lBF = `-0.0497546` Chr`9` : `4,297,892`	0.001	0.999	0.000
rs7870753 lBF = `-0.0581608` Chr`9` : `99,201,585`	0.000	0.999	0.001
rs951005 lBF = `-0.0778702` Chr`9` : `34,743,681`	0.000	0.999	0.001
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.000	0.999	0.001
rs925489 lBF = `73.5008` Chr`9` : `100,546,600`	0.001	0.999	0.000
rs1443438 lBF = `72.9209` Chr`9` : `100,550,028`	0.000	0.999	0.001
rs62543565 lBF = `19.1726` Chr`9` : `16,901,067`	0.000	0.999	0.001
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.000	0.999	0.000
rs10814275 lBF = `0.043786` Chr`9` : `35,758,578`	0.001	0.999	0.000
rs7866350 lBF = `0.0266558` Chr`9` : `100,983,826`	0.001	0.999	0.000
rs6560039 lBF = `-0.0151319` Chr`9` : `90,474,946`	0.000	0.999	0.001
rs17266958 lBF = `-0.0318511` Chr`9` : `83,265,249`	0.000	0.999	0.000
rs28447319 lBF = `-0.0538554` Chr`9` : `33,218,922`	0.000	0.999	0.000
rs2416604 lBF = `-0.061248` Chr`9` : `120,795,990`	0.001	0.999	0.000
rs7044355 lBF = `-0.0885497` Chr`9` : `8,196,511`	0.000	0.999	0.001
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.000	0.999	0.001
rs965513 lBF = `71.3324` Chr`9` : `100,556,109`	0.001	0.999	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.000	0.999	0.000
rs10758658 lBF = `0.08448` Chr`9` : `4,856,877`	0.001	0.999	0.000
rs13290997 lBF = `0.0788385` Chr`9` : `119,314,217`	0.001	0.999	0.000
rs10967875 lBF = `0.0661498` Chr`9` : `27,309,659`	0.001	0.999	0.000
rs12340987 lBF = `0.0655343` Chr`9` : `87,770,927`	0.001	0.999	0.000
rs10816533 lBF = `0.0260514` Chr`9` : `99,539,138`	0.000	0.999	0.000
rs2043144 lBF = `-0.00932687` Chr`9` : `73,950,955`	0.000	0.999	0.000
rs10971721 lBF = `-0.0176776` Chr`9` : `33,827,694`	0.001	0.999	0.000
rs7028939 lBF = `-0.0613793` Chr`9` : `102,808,685`	0.001	0.999	0.000
rs4641121 lBF = `-0.0813814` Chr`9` : `7,071,706`	0.000	0.999	0.001
rs9792548 lBF = `-0.0997067` Chr`9` : `89,573,083`	0.001	0.999	0.000
rs907581 lBF = `41.3431` Chr`9` : `100,622,189`	0.001	0.999	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.000	0.999	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	0.999	0.001
rs1570582 lBF = `3.29743` Chr`9` : `85,910,512`	0.000	0.999	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.000	0.999	0.000
rs11788518 lBF = `0.0996212` Chr`9` : `78,917,378`	0.001	0.999	0.000
rs12346772 lBF = `0.010182` Chr`9` : `113,920,599`	0.000	0.999	0.001
rs2381628 lBF = `0.00781393` Chr`9` : `7,518,656`	0.001	0.999	0.000
rs115613582 lBF = `0.00708643` Chr`9` : `5,482,489`	0.000	0.999	0.000
rs16937883 lBF = `0.00563359` Chr`9` : `20,098,711`	0.000	0.999	0.000
rs192256335 lBF = `-0.00420052` Chr`9` : `129,725,820`	0.000	0.999	0.000
rs10990032 lBF = `-0.0105511` Chr`9` : `105,116,201`	0.000	0.999	0.000
rs1774093 lBF = `-0.0286742` Chr`9` : `104,647,156`	0.001	0.999	0.000
rs872256 lBF = `-0.0466685` Chr`9` : `2,496,480`	0.001	0.999	0.000
rs10989019 lBF = `-0.0612651` Chr`9` : `102,976,541`	0.001	0.999	0.000
rs16934284 lBF = `-0.0651474` Chr`9` : `119,839,328`	0.001	0.999	0.000
rs2375981 lBF = `-0.109816` Chr`9` : `2,692,583`	0.001	0.999	0.000
rs564398 lBF = `152.203` Chr`9` : `22,029,547`	0.001	0.999	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.000	0.999	0.000
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.000	0.999	0.001
rs10969557 lBF = `2.49886` Chr`9` : `310,970`	0.001	0.999	0.000
rs7034200 lBF = `2.08621` Chr`9` : `4,289,050`	0.000	0.999	0.001
rs4837752 lBF = `0.307963` Chr`9` : `123,056,637`	0.000	0.999	0.000
rs3731217 lBF = `0.0725148` Chr`9` : `21,984,661`	0.000	0.999	0.001
rs10967586 lBF = `0.0264506` Chr`9` : `26,895,808`	0.001	0.999	0.000
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.999	0.000
rs2777777 lBF = `0.00854426` Chr`9` : `84,213,160`	0.000	0.999	0.000
rs58823963 lBF = `-0.0172655` Chr`9` : `9,550,389`	0.000	0.999	0.001
rs10982256 lBF = `-0.0253168` Chr`9` : `117,260,834`	0.000	0.999	0.001
rs10901212 lBF = `-0.0337652` Chr`9` : `135,647,021`	0.000	0.999	0.001
rs2398893 lBF = `-0.0522915` Chr`9` : `96,758,342`	0.000	0.999	0.000
rs3849221 lBF = `-0.0798996` Chr`9` : `138,028,677`	0.001	0.999	0.000
rs7864648 lBF = `-0.0903524` Chr`9` : `16,368,732`	0.000	0.999	0.001
rs7865618 lBF = `166.125` Chr`9` : `22,031,005`	0.001	0.999	0.000
rs633862 lBF = `50.6568` Chr`9` : `136,155,444`	0.000	0.999	0.000
rs928413 lBF = `44.0651` Chr`9` : `6,213,387`	0.001	0.999	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.000	0.999	0.000
rs7020553 lBF = `0.241302` Chr`9` : `76,710,284`	0.001	0.999	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	0.999	0.000
rs10975519 lBF = `0.0449991` Chr`9` : `6,253,571`	0.001	0.999	0.000
rs10858396 lBF = `0.0428561` Chr`9` : `138,275,776`	0.001	0.999	0.000
rs8190569 lBF = `0.0301256` Chr`9` : `98,998,061`	0.000	0.999	0.000
rs13290799 lBF = `0.0222806` Chr`9` : `29,545,875`	0.000	0.999	0.000
rs7851437 lBF = `-0.00994799` Chr`9` : `28,395,332`	0.000	0.999	0.000
rs12236890 lBF = `-0.0413664` Chr`9` : `3,157,137`	0.000	0.999	0.001
rs3008706 lBF = `-0.0415957` Chr`9` : `16,034,538`	0.000	0.999	0.000
rs1327796 lBF = `-0.0416522` Chr`9` : `112,526,289`	0.000	0.999	0.000
rs11141915 lBF = `-0.0525759` Chr`9` : `90,235,794`	0.000	0.999	0.000
rs7868992 lBF = `-0.0552473` Chr`9` : `116,991,071`	0.000	0.999	0.000
rs12555345 lBF = `-0.101594` Chr`9` : `27,630,562`	0.001	0.999	0.000
rs8181166 lBF = `-0.102144` Chr`9` : `89,116,628`	0.001	0.999	0.000
rs10759944 lBF = `70.3622` Chr`9` : `100,556,972`	0.000	0.999	0.001
rs7028759 lBF = `7.73393` Chr`9` : `100,677,883`	0.000	0.999	0.000
rs10975740 lBF = `5.23448` Chr`9` : `676,741`	0.000	0.999	0.000
rs7041847 lBF = `0.598182` Chr`9` : `4,287,466`	0.001	0.999	0.000
rs10970305 lBF = `0.245937` Chr`9` : `31,372,583`	0.001	0.999	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.000	0.999	0.000
rs7853377 lBF = `0.102941` Chr`9` : `86,552,205`	0.000	0.999	0.000
rs4743034 lBF = `0.0384534` Chr`9` : `109,632,353`	0.000	0.999	0.000
rs7042950 lBF = `0.0188612` Chr`9` : `77,149,837`	0.000	0.999	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

0.5072

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0718

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0650

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9967

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9661

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9538

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9481

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9423

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9385

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9221

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9136

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9026

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8966

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8830

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8739

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8672

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8616

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8596

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8445

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8309

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8279

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8144

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8103

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8003

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7918

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7915

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7857

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7771

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7654

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7590

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7562

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7561

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7535

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7525

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7481

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7412

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7313

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7282

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7222

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7215

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6854

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6728

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6669

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6643

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6591

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6590

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6535

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6460

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6426

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6415

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6291

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6079

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6076

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6047

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5982

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5978

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5836

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5792

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5684

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5664

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5625

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5558

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5500

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5483

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5438

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5393

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5335

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5110

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5086

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4831

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4828

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4771

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4736

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4649

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4560

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4390

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4356

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4346

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4345

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4282

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4240

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4110

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4090

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4068

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3986

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3786

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3694

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3693

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3491

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3342

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2925

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2904

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2892

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2746

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2575

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2143

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2045

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1893

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1664

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1492

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1208

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1151

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1116

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0974

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0966

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0950

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0869

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0854

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0807

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0732

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0723

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0706

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0633

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`)