TreeWAS – [R52.2] Other chronic 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
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.664	0.335	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.660	0.340	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.655	0.345	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.633	0.367	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.615	0.385	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.592	0.408	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.580	0.419	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.561	0.439	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.544	0.456	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.530	0.469	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.522	0.478	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.517	0.482	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.509	0.491	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.500	0.500	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.491	0.509	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.483	0.517	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.482	0.518	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.470	0.530	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.445	0.555	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.426	0.574	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.405	0.595	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.402	0.598	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.395	0.605	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.385	0.615	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.381	0.619	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.329	0.671	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.327	0.673	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.327	0.673	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.316	0.684	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.311	0.689	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.309	0.691	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.308	0.692	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.234	0.766	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.210	0.790	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.194	0.806	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.190	0.810	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.187	0.813	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.177	0.822	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.165	0.834	0.001
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.152	0.848	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.151	0.849	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.146	0.854	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.141	0.859	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.132	0.868	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.124	0.876	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.099	0.900	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.096	0.904	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.095	0.904	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.093	0.907	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.091	0.909	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.090	0.910	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.085	0.915	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.080	0.920	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.079	0.921	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.076	0.924	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.066	0.934	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.066	0.934	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.065	0.935	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.053	0.947	0.001
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.045	0.955	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.045	0.955	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.044	0.955	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.042	0.958	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.040	0.959	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.039	0.961	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.033	0.967	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.032	0.968	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.970	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.030	0.970	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.029	0.971	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.028	0.972	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.028	0.972	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.026	0.974	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.023	0.977	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.019	0.981	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.018	0.982	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.016	0.984	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.015	0.985	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.014	0.986	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.012	0.988	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.011	0.988	0.000
rs11635191 lBF = `0.0617191` Chr`15` : `74,550,050`	0.011	0.989	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.010
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.008	0.992	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.007	0.992	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.008	0.992	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.007	0.992	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.007	0.992	0.000
rs518425 lBF = `10.5967` Chr`15` : `78,883,813`	0.000	0.993	0.007
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.006	0.994	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.006	0.994	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.006	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.006	0.994	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.006	0.994	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.005	0.995	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.005	0.995	0.000
rs8192477 lBF = `10.322` Chr`15` : `78,910,463`	0.000	0.995	0.005
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.000	0.995	0.005
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.004	0.995	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.004	0.996	0.000
rs7168353 lBF = `-0.0625658` Chr`15` : `93,638,401`	0.004	0.996	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.004	0.996	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.004	0.996	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	0.996	0.004
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.004	0.996	0.000
rs8192478 lBF = `9.51953` Chr`15` : `78,910,462`	0.000	0.997	0.003
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.003	0.997	0.000
rs1077834 lBF = `-0.0167799` Chr`15` : `58,723,479`	0.000	0.997	0.003
rs2070895 lBF = `-0.0197178` Chr`15` : `58,723,939`	0.000	0.997	0.003
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.003	0.997	0.000
rs578776 lBF = `12.2576` Chr`15` : `78,888,400`	0.000	0.997	0.003
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.003	0.997	0.000
rs1077835 lBF = `-0.0112113` Chr`15` : `58,723,426`	0.000	0.997	0.003
rs9920506 lBF = `6.44917` Chr`15` : `78,931,057`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs2388436 lBF = `0.494634` Chr`15` : `94,689,653`	0.003	0.997	0.000
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	0.997	0.003
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.003	0.997	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	0.997	0.003
rs569207 lBF = `17.1858` Chr`15` : `78,873,119`	0.000	0.997	0.003
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.002	0.997	0.000
rs9806762 lBF = `-0.0430734` Chr`15` : `88,661,739`	0.000	0.997	0.003
rs667282 lBF = `17.1517` Chr`15` : `78,863,472`	0.000	0.997	0.002
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.002	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs637137 lBF = `17.3142` Chr`15` : `78,873,976`	0.000	0.998	0.002
rs576982 lBF = `17.3069` Chr`15` : `78,870,803`	0.000	0.998	0.002
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.002	0.998	0.000
rs8024343 lBF = `-0.0518479` Chr`15` : `87,710,066`	0.000	0.998	0.002
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	0.998	0.002
rs1902618 lBF = `-0.0294751` Chr`15` : `61,164,199`	0.002	0.998	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.000	0.998	0.002
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.002	0.998	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.002	0.998	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.998	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	0.998	0.002
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	0.998	0.002
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	0.998	0.002
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.000	0.998	0.002
rs28498264 lBF = `18.6374` Chr`15` : `78,837,673`	0.000	0.998	0.002
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	0.998	0.002
rs16951275 lBF = `0.538361` Chr`15` : `68,077,168`	0.000	0.998	0.002
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.002	0.998	0.000
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.002	0.998	0.000
rs8028313 lBF = `0.549074` Chr`15` : `68,043,057`	0.000	0.998	0.002
rs11630290 lBF = `-0.0707247` Chr`15` : `63,915,786`	0.002	0.998	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	0.998	0.002
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	0.998	0.002
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	0.998	0.002
rs938682 lBF = `19.6295` Chr`15` : `78,896,547`	0.000	0.998	0.002
rs12910984 lBF = `17.509` Chr`15` : `78,891,627`	0.000	0.998	0.002
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.002	0.998	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.001	0.998	0.000
rs2241423 lBF = `0.595588` Chr`15` : `68,086,838`	0.000	0.998	0.002
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.002	0.998	0.000
rs207954 lBF = `-0.0656915` Chr`15` : `92,657,373`	0.002	0.998	0.000
rs7171869 lBF = `19.4273` Chr`15` : `78,900,909`	0.002	0.998	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.998	0.001
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.000	0.998	0.002
rs8043009 lBF = `18.5049` Chr`15` : `78,908,154`	0.000	0.998	0.002
rs3784609 lBF = `-0.0716229` Chr`15` : `60,910,550`	0.002	0.998	0.000
rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	0.002	0.998	0.000
rs7183604 lBF = `20.2205` Chr`15` : `78,899,213`	0.002	0.998	0.000
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.002	0.998	0.000
rs8042374 lBF = `18.7395` Chr`15` : `78,908,032`	0.000	0.998	0.002
rs8042059 lBF = `18.7395` Chr`15` : `78,907,859`	0.000	0.998	0.002
rs7177514 lBF = `18.6876` Chr`15` : `78,907,406`	0.000	0.998	0.002
rs8042494 lBF = `18.6762` Chr`15` : `78,908,010`	0.000	0.998	0.002
rs6495308 lBF = `18.9316` Chr`15` : `78,907,656`	0.000	0.998	0.002
rs1370156 lBF = `0.654635` Chr`15` : `34,984,883`	0.001	0.999	0.000
rs4776970 lBF = `-0.0609272` Chr`15` : `68,080,886`	0.000	0.999	0.001
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	0.999	0.001
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.001	0.999	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.001	0.999	0.000
rs2305707 lBF = `0.120884` Chr`15` : `51,569,410`	0.000	0.999	0.001
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	0.999	0.001
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	0.999	0.001
rs4337252 lBF = `1.02881` Chr`15` : `74,226,765`	0.000	0.999	0.001
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	0.999	0.001
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.001	0.999	0.000
rs4502156 lBF = `-0.119286` Chr`15` : `62,383,155`	0.001	0.999	0.000
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	0.999	0.001
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs16940212 lBF = `-0.0798621` Chr`15` : `58,694,020`	0.001	0.999	0.000
rs3813567 lBF = `9.05806` Chr`15` : `78,934,551`	0.001	0.999	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.001	0.999	0.000
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	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
rs6495309 lBF = `19.1798` Chr`15` : `78,915,245`	0.000	0.999	0.001
rs7170068 lBF = `18.9141` Chr`15` : `78,912,943`	0.000	0.999	0.001
rs1436955 lBF = `-0.0710419` Chr`15` : `62,404,382`	0.001	0.999	0.000
rs17819300 lBF = `0.0898622` Chr`15` : `56,210,929`	0.000	0.999	0.001
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	0.999	0.001
rs711355 lBF = `-0.0844351` Chr`15` : `30,193,468`	0.001	0.999	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.001	0.999	0.000
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rs28420834 lBF = `-0.0406623` Chr`15` : `82,513,121`	0.000	0.999	0.001
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.000	1.000	0.000
rs7166783 lBF = `5.49465` Chr`15` : `84,161,111`	0.000	1.000	0.000
rs524952 lBF = `3.00816` Chr`15` : `35,005,886`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs17730436 lBF = `0.0220115` Chr`15` : `53,942,928`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs3099143 lBF = `-0.0266001` Chr`15` : `77,104,856`	0.000	1.000	0.000
rs8023715 lBF = `-0.0503426` Chr`15` : `97,607,681`	0.000	1.000	0.000
rs12899147 lBF = `12.9814` Chr`15` : `79,079,512`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.000	1.000	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs62018380 lBF = `-0.0507671` Chr`15` : `95,275,917`	0.000	1.000	0.000
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.000	1.000	0.000
rs143536437 lBF = `-0.067172` Chr`15` : `30,898,332`	0.000	1.000	0.000
rs1814880 lBF = `17.4442` Chr`15` : `79,021,140`	0.000	1.000	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	1.000	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.000	1.000	0.000
rs2567426 lBF = `0.13365` Chr`15` : `96,332,861`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs6494537 lBF = `0.067618` Chr`15` : `66,051,345`	0.000	1.000	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	1.000	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	1.000	0.000
rs1971791 lBF = `-0.0755014` Chr`15` : `70,576,138`	0.000	1.000	0.000
rs2929155 lBF = `22.93` Chr`15` : `79,058,013`	0.000	1.000	0.000
rs11072800 lBF = `17.702` Chr`15` : `79,045,857`	0.000	1.000	0.000
rs11858210 lBF = `12.875` Chr`15` : `79,078,358`	0.000	1.000	0.000
rs11639044 lBF = `12.4408` Chr`15` : `79,083,814`	0.000	1.000	0.000
rs17294280 lBF = `9.90458` Chr`15` : `67,468,285`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	1.000	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	1.000	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	1.000	0.000
rs1104918 lBF = `-0.0484154` Chr`15` : `88,723,712`	0.000	1.000	0.000
rs8031341 lBF = `-0.0785045` Chr`15` : `91,313,224`	0.000	1.000	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	1.000	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.000	1.000	0.000
rs2904220 lBF = `12.8397` Chr`15` : `79,076,704`	0.000	1.000	0.000
rs1825087 lBF = `12.8373` Chr`15` : `79,077,114`	0.000	1.000	0.000
rs12050525 lBF = `12.7855` Chr`15` : `79,075,746`	0.000	1.000	0.000
rs11072803 lBF = `12.7352` Chr`15` : `79,077,878`	0.000	1.000	0.000
rs4886592 lBF = `12.6218` Chr`15` : `79,082,547`	0.000	1.000	0.000
rs2277546 lBF = `12.5381` Chr`15` : `79,083,376`	0.000	1.000	0.000
rs2277545 lBF = `12.5251` Chr`15` : `79,083,591`	0.000	1.000	0.000
rs12903203 lBF = `12.3822` Chr`15` : `79,084,933`	0.000	1.000	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.000	1.000	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	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
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	1.000	0.000
rs11072804 lBF = `11.8864` Chr`15` : `79,078,486`	0.000	1.000	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.000	1.000	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.000	1.000	0.000
rs2627323 lBF = `6.78206` Chr`15` : `81,021,383`	0.000	1.000	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs11855415 lBF = `0.257241` Chr`15` : `101,875,123`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs2137111 lBF = `-0.0912515` Chr`15` : `77,851,535`	0.000	1.000	0.000
rs899997 lBF = `18.2795` Chr`15` : `79,019,578`	0.000	1.000	0.000
rs2127898 lBF = `13.6214` Chr`15` : `79,083,120`	0.000	1.000	0.000
rs11072805 lBF = `12.0166` Chr`15` : `79,078,518`	0.000	1.000	0.000
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.000	1.000	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs4218 lBF = `0.0590071` Chr`15` : `59,428,658`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs12719740 lBF = `-0.0228415` Chr`15` : `99,072,905`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs4776997 lBF = `-0.0588064` Chr`15` : `68,150,923`	0.000	1.000	0.000
rs12907764 lBF = `12.9263` Chr`15` : `79,070,438`	0.000	1.000	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	1.000	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs7175404 lBF = `-0.0549224` Chr`15` : `94,036,688`	0.000	1.000	0.000
rs448720 lBF = `-0.0685717` Chr`15` : `68,198,911`	0.000	1.000	0.000
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	1.000	0.000
rs11631955 lBF = `12.3799` Chr`15` : `79,085,915`	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

0.3506

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1043

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0677

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9995

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9910

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9864

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9805

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9798

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9787

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9769

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9588

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9575

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9560

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9525

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9423

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9396

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9304

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9227

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9222

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9166

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9162

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9115

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8954

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8930

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8812

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8723

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8618

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8492

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8387

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8380

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8316

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8159

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8142

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7937

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7793

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7650

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7264

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7100

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7075

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7018

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6952

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6685

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6673

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6666

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6304

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6284

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6154

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6053

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5992

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5976

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5942

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5664

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5431

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5425

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5337

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5318

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5291

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5251

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5171

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4928

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4393

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4167

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4110

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4094

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3923

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3720

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3143

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3141

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3067

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2883

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2847

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2817

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2529

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2187

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2151

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2081

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2077

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2053

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1977

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1881

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1875

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1875

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1868

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1776

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1580

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1297

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1171

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1000

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0999

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0960

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0650

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0640

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0597

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0564

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`)