TreeWAS – [R68] Other general symptoms and signs

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
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.809	0.191	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.782	0.218	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.750	0.249	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.749	0.251	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.718	0.282	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.710	0.290	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.708	0.292	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.692	0.308	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.691	0.309	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.685	0.315	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.676	0.323	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.667	0.333	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.666	0.334	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.665	0.335	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.641	0.359	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.638	0.362	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.633	0.367	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.626	0.374	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.608	0.392	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.588	0.412	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.588	0.412	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.534	0.466	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.531	0.468	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.498	0.502	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.485	0.515	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.480	0.520	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.434	0.566	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.430	0.569	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.429	0.571	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.417	0.582	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.370	0.629	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.369	0.631	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.364	0.636	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.327	0.673	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.297	0.703	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.251	0.749	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.243	0.757	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.238	0.762	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.235	0.765	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.228	0.772	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.228	0.772	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.205	0.795	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.203	0.797	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.203	0.797	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.196	0.804	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.187	0.813	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.179	0.821	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.176	0.824	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.170	0.830	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.156	0.844	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.153	0.847	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.144	0.856	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.138	0.862	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.134	0.866	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.131	0.868	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.118	0.881	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.105	0.895	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.102	0.898	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.092	0.908	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.089	0.911	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.072	0.928	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.072	0.928	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.062	0.938	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.058	0.942	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.050	0.950	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.044	0.956	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.044	0.956	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.042	0.958	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.041	0.958	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.041	0.959	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.040	0.960	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.039	0.960	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.038	0.962	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.035	0.965	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.030	0.970	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.028	0.972	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.023	0.977	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.022	0.978	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.020	0.980	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.019	0.980	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.016	0.984	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.016	0.984	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.016	0.984	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.015	0.985	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.014	0.986	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.987	0.013
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.010	0.990	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.009	0.991	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.008	0.992	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.007	0.992	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.007	0.993	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.007	0.993	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.006	0.994	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.006	0.994	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.006	0.994	0.000
rs8024033 lBF = `0.115052` Chr`15` : `40,403,657`	0.006	0.994	0.000
rs17730281 lBF = `0.00435176` Chr`15` : `53,907,948`	0.006	0.994	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.005	0.994	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.004	0.995	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.004	0.995	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.004	0.996	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.004	0.996	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.004	0.996	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.004	0.996	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.996	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.003	0.996	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.003	0.997	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.997	0.000
rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.002	0.998	0.000
rs17730436 lBF = `0.0220115` Chr`15` : `53,942,928`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs17228178 lBF = `-0.105391` Chr`15` : `31,469,928`	0.000	0.998	0.002
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.002	0.998	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.002	0.998	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.002	0.998	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.998	0.002
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.002	0.998	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.998	0.000
rs3743266 lBF = `0.0106142` Chr`15` : `60,781,513`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.001	0.999	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs10520045 lBF = `0.0447628` Chr`15` : `36,313,965`	0.000	0.999	0.001
rs150848999 lBF = `-0.0808139` Chr`15` : `28,760,306`	0.000	0.999	0.001
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.001
rs491567 lBF = `-0.0354221` Chr`15` : `53,946,593`	0.001	0.999	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.001	0.999	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.001	0.999	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.001	0.999	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.001	0.999	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.001	0.999	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.001	0.999	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.001	0.999	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.001	0.999	0.000
rs115942227 lBF = `-0.00000509` Chr`15` : `58,105,033`	0.000	0.999	0.001
rs180709182 lBF = `-0.00002313` Chr`15` : `47,998,630`	0.000	0.999	0.001
rs3751599 lBF = `-0.00002368` Chr`15` : `51,573,533`	0.001	0.999	0.000
rs150978828 lBF = `-0.00002407` Chr`15` : `37,500,185`	0.001	0.999	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.999	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.001	0.999	0.000
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	0.001	0.999	0.000
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.000	0.999	0.001
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.001	0.999	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.001	0.999	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.001	0.999	0.000
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.001	0.999	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.001	0.999	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.001	0.999	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.001	0.999	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.001	0.999	0.000
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.001	0.999	0.000
rs12907866 lBF = `0.0835764` Chr`15` : `51,545,454`	0.000	0.999	0.001
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.001	0.999	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.001	0.999	0.000
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rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs2351491 lBF = `0.0202389` Chr`15` : `89,398,105`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs6494849 lBF = `-0.0400256` Chr`15` : `70,480,614`	0.000	1.000	0.000
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.000	1.000	0.000
rs12899449 lBF = `-0.0568353` Chr`15` : `38,995,491`	0.000	1.000	0.000
rs903552 lBF = `-0.0690267` Chr`15` : `101,997,991`	0.000	1.000	0.000
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.000	1.000	0.000
rs11072783 lBF = `11.6644` Chr`15` : `78,965,966`	0.000	1.000	0.000
rs1055254 lBF = `10.3836` Chr`15` : `49,620,200`	0.000	1.000	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	1.000	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.000	1.000	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.000	1.000	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs2643217 lBF = `0.612596` Chr`15` : `39,003,763`	0.000	1.000	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs8023580 lBF = `0.411363` Chr`15` : `96,708,291`	0.000	1.000	0.000
rs117799466 lBF = `0.335038` Chr`15` : `34,659,517`	0.000	1.000	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.000	1.000	0.000
rs7170668 lBF = `-0.0260738` Chr`15` : `96,014,143`	0.000	1.000	0.000
rs3099143 lBF = `-0.0266001` Chr`15` : `77,104,856`	0.000	1.000	0.000
rs8038465 lBF = `-0.0298584` Chr`15` : `73,978,337`	0.000	1.000	0.000
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.000	1.000	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.000	1.000	0.000
rs2938674 lBF = `9.93244` Chr`15` : `78,757,913`	0.000	1.000	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.000	1.000	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.000	1.000	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs6496044 lBF = `0.396601` Chr`15` : `86,067,306`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs12148477 lBF = `0.256964` Chr`15` : `51,653,119`	0.000	1.000	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.000	1.000	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs12908161 lBF = `0.0348923` Chr`15` : `85,207,825`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs8043440 lBF = `0.0114729` Chr`15` : `26,973,086`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.000	1.000	0.000
rs1352323 lBF = `-0.00755766` Chr`15` : `92,995,641`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs587847 lBF = `-0.0314841` Chr`15` : `37,660,049`	0.000	1.000	0.000
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.000	1.000	0.000
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.000	1.000	0.000
rs1823874 lBF = `-0.0604683` Chr`15` : `100,357,435`	0.000	1.000	0.000
rs1986112 lBF = `-0.0766278` Chr`15` : `63,540,572`	0.000	1.000	0.000
rs7179456 lBF = `-0.0798496` Chr`15` : `59,174,539`	0.000	1.000	0.000
rs7403037 lBF = `-0.0870766` Chr`15` : `24,818,497`	0.000	1.000	0.000
rs2137111 lBF = `-0.0912515` Chr`15` : `77,851,535`	0.000	1.000	0.000
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.000	1.000	0.000
rs2869032 lBF = `8.80467` Chr`15` : `78,714,561`	0.000	1.000	0.000
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.000	1.000	0.000
rs2656074 lBF = `7.37439` Chr`15` : `78,741,384`	0.000	1.000	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.000	1.000	0.000
rs744910 lBF = `0.45769` Chr`15` : `67,446,785`	0.000	1.000	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	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

0.7945

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1088

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1008

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9983

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9959

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9935

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9906

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9896

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9888

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9749

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9747

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9743

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9726

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9671

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9662

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9657

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9650

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9592

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9584

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9554

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9540

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9397

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9384

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9375

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9267

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9244

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9193

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9164

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9116

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9055

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9044

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8948

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8918

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8894

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8842

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8786

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8775

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8737

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8717

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8535

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8509

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8479

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8475

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8435

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8429

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8383

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8345

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8338

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8338

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8322

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8078

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8035

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7971

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7928

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7901

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7835

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7822

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7763

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7753

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7671

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7585

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7522

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7442

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7185

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6796

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6692

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6607

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6523

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6484

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6452

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6337

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6122

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6076

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6023

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5975

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5972

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5947

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5921

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5720

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5673

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5645

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5575

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5559

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5304

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5280

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5151

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5015

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4869

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4733

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4661

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4079

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3731

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3677

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3387

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2890

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2679

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2543

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2412

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2320

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2096

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1624

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1357

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1324

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1323

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1224

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1159

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1124

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1088

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1028

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0983

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0976

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0935

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0841

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0707

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0593

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.

Parent term	R50-R69 General symptoms and signs
Nested terms	R68.0 Hypothermia, not associated with low environmental temperature R68.1 Nonspecific symptoms peculiar to infancy R68.2 Dry mouth, unspecified R68.3 Clubbing of fingers R68.8 Other specified general symptoms and signs

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`)