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
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.687	0.313	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.670	0.330	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.622	0.378	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.566	0.434	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.540	0.460	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.536	0.464	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.528	0.471	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.523	0.477	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.513	0.486	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.506	0.494	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.506	0.494	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.503	0.497	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.503	0.497	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.493	0.507	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.491	0.509	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.489	0.511	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.488	0.512	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.482	0.517	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.482	0.518	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.482	0.518	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.479	0.521	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.478	0.521	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.521	0.478
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.472	0.528	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.470	0.529	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.469	0.530	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.461	0.539	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.458	0.541	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.448	0.552	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.436	0.564	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.430	0.570	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.419	0.581	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.405	0.595	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.399	0.601	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.388	0.612	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.384	0.616	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.383	0.616	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.379	0.620	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.375	0.624	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.375	0.625	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.371	0.628	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.358	0.642	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.349	0.651	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.348	0.652	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.343	0.657	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.328	0.672	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.325	0.674	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.319	0.681	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.313	0.687	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.299	0.700	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.296	0.704	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.274	0.726	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.260	0.739	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.252	0.748	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.250	0.749	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.247	0.752	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.244	0.755	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.226	0.774	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.225	0.775	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.217	0.783	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.202	0.798	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.201	0.799	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.197	0.803	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.182	0.818	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.167	0.833	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.165	0.834	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.156	0.844	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.125	0.875	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.125	0.875	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.124	0.875	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.120	0.880	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.117	0.883	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.113	0.887	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.113	0.887	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.104	0.896	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.096	0.904	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.090	0.910	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.088	0.912	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.080	0.919	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.073	0.927	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.069	0.931	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.069	0.931	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.063	0.937	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.057	0.942	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.056	0.944	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.053	0.946	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.043	0.957	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.957	0.042
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.042	0.958	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.037	0.962	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.034	0.966	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.031	0.969	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.030	0.970	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.027	0.973	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.027	0.973	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.027	0.973	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.023	0.977	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.023	0.977	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.023	0.977	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.023	0.977	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.022	0.978	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.022	0.978	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.021	0.978	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.019	0.981	0.000
rs12541437 lBF = `-0.072864` Chr`8` : `117,918,897`	0.000	0.982	0.018
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.017	0.982	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.016	0.984	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.014	0.985	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.014	0.985	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.014	0.986	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.012	0.987	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.012	0.988	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.012	0.988	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.011	0.989	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.011	0.989	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.009	0.990	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.009	0.991	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.009	0.991	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.009	0.991	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.008	0.992	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.008	0.992	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.008	0.992	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.007	0.993	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.007	0.993	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.007	0.993	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.006	0.993	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.006	0.994	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.005	0.995	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.995	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.005	0.995	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.005	0.995	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.005	0.995	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.005	0.995	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.005	0.995	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.005	0.995	0.000
rs10094872 lBF = `19.7764` Chr`8` : `128,719,884`	0.000	0.995	0.005
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.004	0.995	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.004	0.996	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.004	0.996	0.000
rs6990042 lBF = `-0.077602` Chr`8` : `14,173,974`	0.000	0.996	0.004
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.004	0.996	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.003	0.996	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.003	0.997	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.003	0.997	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.003	0.997	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.003	0.997	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.003	0.997	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.003	0.997	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.003	0.997	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.003	0.997	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.002	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.998	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.002	0.998	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.002	0.998	0.001
rs56292044 lBF = `0.784944` Chr`8` : `138,776,547`	0.002	0.998	0.000
rs7010805 lBF = `-0.0756655` Chr`8` : `144,976,720`	0.002	0.998	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.002	0.998	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.998	0.000
rs6577655 lBF = `-0.0824192` Chr`8` : `135,593,725`	0.000	0.998	0.002
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.002	0.998	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.002	0.998	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.002	0.998	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.002	0.998	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs3104964 lBF = `0.0342882` Chr`8` : `96,595,736`	0.000	0.998	0.002
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.002	0.998	0.000
rs7015048 lBF = `-0.0923728` Chr`8` : `144,984,283`	0.002	0.998	0.000
rs34746873 lBF = `-0.119938` Chr`8` : `62,898,949`	0.002	0.998	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.002	0.998	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.001	0.998	0.000
rs6998967 lBF = `2.99125` Chr`8` : `81,364,205`	0.002	0.998	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.001	0.998	0.000
rs7834765 lBF = `0.833868` Chr`8` : `122,275,906`	0.002	0.998	0.000
rs876983 lBF = `-0.140682` Chr`8` : `18,407,858`	0.000	0.998	0.002
rs11778693 lBF = `0.0184763` Chr`8` : `22,462,852`	0.000	0.998	0.002
rs7834588 lBF = `-0.055575` Chr`8` : `63,883,593`	0.000	0.998	0.001
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.001	0.998	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.001	0.998	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.001	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.998	0.000
rs10808739 lBF = `-0.0697806` Chr`8` : `65,640,260`	0.002	0.998	0.000
rs4360309 lBF = `7.7722` Chr`8` : `126,523,523`	0.000	0.998	0.001
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.999	0.000
rs10103155 lBF = `23.4513` Chr`8` : `25,727,902`	0.000	0.999	0.001
rs4734806 lBF = `0.0295291` Chr`8` : `105,700,680`	0.000	0.999	0.001
rs3923388 lBF = `-0.0711683` Chr`8` : `144,986,678`	0.001	0.999	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.000	0.999	0.001
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.001	0.999	0.000
rs2584 lBF = `-0.113518` Chr`8` : `6,303,025`	0.000	0.999	0.001
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.001	0.999	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs1478897 lBF = `0.0531578` Chr`8` : `11,395,232`	0.001	0.999	0.000
rs17232789 lBF = `-0.0673264` Chr`8` : `122,622,500`	0.000	0.999	0.001
rs2172820 lBF = `-0.0482136` Chr`8` : `15,325,668`	0.001	0.999	0.000
rs34080186 lBF = `-0.0881148` Chr`8` : `110,070,486`	0.001	0.999	0.000
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rs7016880 lBF = `3.47103` Chr`8` : `19,876,746`	0.000	0.999	0.001
rs16902094 lBF = `2.51795` Chr`8` : `128,320,346`	0.000	0.999	0.001
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.001	0.999	0.000
rs2936519 lBF = `0.0602152` Chr`8` : `6,639,240`	0.001	0.999	0.000
rs11781525 lBF = `0.0341254` Chr`8` : `125,721,366`	0.000	0.999	0.000
rs2407314 lBF = `0.0128268` Chr`8` : `4,078,353`	0.000	0.999	0.001
rs7829127 lBF = `-0.00677657` Chr`8` : `40,726,394`	0.001	0.999	0.000
rs12542166 lBF = `-0.03426` Chr`8` : `122,982,838`	0.001	0.999	0.000
rs10875423 lBF = `-0.0410514` Chr`8` : `139,301,378`	0.001	0.999	0.000
rs4736192 lBF = `-0.0915727` Chr`8` : `139,979,825`	0.000	0.999	0.001
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.000	0.999	0.000
rs11993814 lBF = `5.99138` Chr`8` : `81,389,791`	0.001	0.999	0.000
rs6473227 lBF = `4.79247` Chr`8` : `81,285,892`	0.000	0.999	0.001
rs10091038 lBF = `0.63362` Chr`8` : `29,360,305`	0.000	0.999	0.001
rs11784833 lBF = `0.180839` Chr`8` : `145,063,412`	0.001	0.999	0.000
rs111703385 lBF = `0.13607` Chr`8` : `8,499,516`	0.000	0.999	0.000
rs2736332 lBF = `0.12699` Chr`8` : `11,339,965`	0.000	0.999	0.001
rs2944755 lBF = `0.0852789` Chr`8` : `141,574,194`	0.001	0.999	0.000
rs3763558 lBF = `-0.0260521` Chr`8` : `97,796,731`	0.000	0.999	0.000
rs7011507 lBF = `-0.0303419` Chr`8` : `49,129,242`	0.000	0.999	0.001
rs2137277 lBF = `-0.0357928` Chr`8` : `40,734,662`	0.001	0.999	0.000
rs2513900 lBF = `-0.0425096` Chr`8` : `103,800,298`	0.000	0.999	0.001
rs6982250 lBF = `-0.0570396` Chr`8` : `70,412,450`	0.000	0.999	0.001
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.001	0.999	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	0.999	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.000	0.999	0.000
rs4506170 lBF = `1.56706` Chr`8` : `128,323,891`	0.000	0.999	0.001
rs12541902 lBF = `1.19166` Chr`8` : `60,623,348`	0.000	0.999	0.001
rs4876662 lBF = `0.186551` Chr`8` : `117,556,270`	0.001	0.999	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	0.999	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.000	0.999	0.000
rs16904179 lBF = `-0.0207368` Chr`8` : `130,958,951`	0.000	0.999	0.000
rs7008026 lBF = `-0.0355462` Chr`8` : `70,950,280`	0.001	0.999	0.000
rs2128382 lBF = `-0.0362157` Chr`8` : `130,820,039`	0.001	0.999	0.000
rs13279799 lBF = `-0.0725572` Chr`8` : `117,541,607`	0.000	0.999	0.001
rs2688325 lBF = `-0.0870791` Chr`8` : `3,767,210`	0.001	0.999	0.000
rs278567 lBF = `-0.0990952` Chr`8` : `94,169,350`	0.001	0.999	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.000	0.999	0.000
rs622856 lBF = `8.44713` Chr`8` : `128,333,180`	0.001	0.999	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.000	0.999	0.000
rs10216709 lBF = `6.56846` Chr`8` : `126,472,487`	0.000	0.999	0.001
rs13275219 lBF = `6.32362` Chr`8` : `81,259,826`	0.001	0.999	0.000
rs6473223 lBF = `6.12391` Chr`8` : `81,268,155`	0.000	0.999	0.001
rs9644568 lBF = `5.96243` Chr`8` : `19,928,582`	0.000	0.999	0.001
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.000	0.999	0.000
rs16935518 lBF = `5.2746` Chr`8` : `70,006,868`	0.001	0.999	0.000
rs12679857 lBF = `1.94203` Chr`8` : `119,977,337`	0.001	0.999	0.000
rs4642619 lBF = `1.51359` Chr`8` : `111,487,468`	0.000	0.999	0.000
rs36068923 lBF = `1.50278` Chr`8` : `111,485,761`	0.000	0.999	0.000
rs2722425 lBF = `0.210439` Chr`8` : `40,484,239`	0.000	0.999	0.001
rs13277113 lBF = `0.158059` Chr`8` : `11,349,186`	0.000	0.999	0.001
rs3739262 lBF = `0.0702267` Chr`8` : `134,205,713`	0.000	0.999	0.001
rs2736337 lBF = `0.0321259` Chr`8` : `11,341,880`	0.000	0.999	0.001
rs2347503 lBF = `0.00629633` Chr`8` : `32,232,827`	0.000	0.999	0.000
rs6993270 lBF = `-0.0124426` Chr`8` : `120,941,716`	0.001	0.999	0.000
rs1531462 lBF = `-0.0228192` Chr`8` : `76,752,790`	0.000	0.999	0.000
rs2290416 lBF = `-0.0455999` Chr`8` : `144,657,600`	0.000	0.999	0.000
rs4733770 lBF = `-0.0617633` Chr`8` : `131,152,665`	0.001	0.999	0.000
rs1395804 lBF = `-0.0661562` Chr`8` : `132,510,680`	0.000	0.999	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	0.999	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.000	0.999	0.000
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.000	0.999	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	0.999	0.000
rs13252298 lBF = `2.21438` Chr`8` : `128,095,156`	0.001	0.999	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	0.999	0.000
rs11135910 lBF = `0.678122` Chr`8` : `25,892,142`	0.000	0.999	0.000
rs7839059 lBF = `0.472635` Chr`8` : `119,976,542`	0.001	0.999	0.000
rs722782 lBF = `0.0164778` Chr`8` : `516,479`	0.000	0.999	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	0.999	0.000
rs10958409 lBF = `-0.00235757` Chr`8` : `55,327,091`	0.000	0.999	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	0.999	0.000
rs4831837 lBF = `-0.0168165` Chr`8` : `12,711,863`	0.000	0.999	0.001
rs881301 lBF = `-0.0216293` Chr`8` : `38,332,318`	0.000	0.999	0.001
rs7003257 lBF = `-0.0304051` Chr`8` : `68,613,390`	0.000	0.999	0.000
rs4738873 lBF = `-0.0431328` Chr`8` : `62,086,176`	0.000	0.999	0.000
rs1487141 lBF = `-0.0502364` Chr`8` : `32,139,652`	0.000	0.999	0.000
rs1587409 lBF = `-0.0532446` Chr`8` : `118,263,732`	0.000	0.999	0.000
rs10090117 lBF = `-0.0627887` Chr`8` : `18,381,235`	0.000	0.999	0.000
rs10088262 lBF = `-0.10496` Chr`8` : `124,765,702`	0.000	0.999	0.001
rs10109541 lBF = `-0.12609` Chr`8` : `523,920`	0.000	0.999	0.001
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.000	0.999	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.000	0.999	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.000	0.999	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.000	0.999	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.999	0.000
rs12678919 lBF = `1.74917` Chr`8` : `19,844,222`	0.000	0.999	0.000
rs10503669 lBF = `1.21694` Chr`8` : `19,847,690`	0.000	0.999	0.000
rs11136645 lBF = `0.193906` Chr`8` : `3,498,171`	0.000	0.999	0.000
rs2736340 lBF = `0.122135` Chr`8` : `11,343,973`	0.000	0.999	0.001
rs4601292 lBF = `0.0604848` Chr`8` : `66,851,731`	0.000	0.999	0.001
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	0.999	0.000
rs2046315 lBF = `0.00340521` Chr`8` : `90,211,100`	0.000	0.999	0.000
rs4733781 lBF = `-0.00271699` Chr`8` : `131,296,767`	0.001	0.999	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	0.999	0.000
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.000	0.999	0.000
rs7845127 lBF = `-0.0602147` Chr`8` : `18,067,395`	0.000	0.999	0.000
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	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`)