TreeWAS – [R52.9] Pain, unspecified

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`	0.690	0.309	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.669	0.331	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.658	0.342	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.598	0.402	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.598	0.402	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.554	0.446	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.544	0.456	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.539	0.461	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.520	0.480	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.517	0.482	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.517	0.483	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.515	0.484	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.476	0.523	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.470	0.530	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.461	0.538	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.460	0.539	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.458	0.542	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.457	0.543	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.457	0.543	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.408	0.592	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.403	0.597	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.400	0.600	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.400	0.600	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.381	0.619	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.336	0.664	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.311	0.688	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.309	0.691	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.302	0.698	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.301	0.698	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.301	0.699	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.275	0.725	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.258	0.742	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.228	0.772	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.194	0.806	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.192	0.807	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.175	0.824	0.001
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.171	0.829	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.162	0.838	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.151	0.848	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.140	0.860	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.138	0.861	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.130	0.870	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.124	0.876	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.121	0.879	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.116	0.884	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.114	0.886	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.108	0.892	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.107	0.893	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.096	0.904	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.092	0.908	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.089	0.911	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.089	0.911	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.087	0.913	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.085	0.915	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.081	0.919	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.073	0.927	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.072	0.927	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.072	0.928	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.069	0.931	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.068	0.932	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.062	0.938	0.001
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.058	0.941	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.042	0.958	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.035	0.964	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.034	0.965	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.034	0.966	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.030	0.969	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.970	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.029	0.971	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	0.971	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.028	0.972	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.027	0.973	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.025	0.975	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.022	0.978	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.018	0.982	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.017	0.983	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.016	0.984	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.016	0.984	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.011	0.988	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.011	0.989	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.010	0.990	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.010
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.009	0.991	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.009	0.991	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.008	0.991	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`	0.008	0.992	0.000
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.007	0.993	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.006	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.994	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.005	0.995	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.005	0.995	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.005	0.995	0.000
rs11635191 lBF = `0.0617191` Chr`15` : `74,550,050`	0.005	0.995	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.005	0.995	0.000
rs7359257 lBF = `-0.0122994` Chr`15` : `67,702,907`	0.005	0.995	0.000
rs1378942 lBF = `4.54504` Chr`15` : `75,077,367`	0.000	0.996	0.004
rs9806762 lBF = `-0.0430734` Chr`15` : `88,661,739`	0.000	0.996	0.004
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.000	0.996	0.004
rs1370156 lBF = `0.654635` Chr`15` : `34,984,883`	0.004	0.996	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.004	0.996	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.003	0.996	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.003	0.996	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.003	0.996	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.003	0.997	0.000
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	0.003	0.997	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.002	0.997	0.000
rs4842838 lBF = `-0.110493` Chr`15` : `84,582,124`	0.003	0.997	0.000
rs11259936 lBF = `-0.112077` Chr`15` : `84,580,582`	0.003	0.997	0.000
rs8030379 lBF = `-0.111817` Chr`15` : `84,590,910`	0.003	0.997	0.000
rs11259933 lBF = `-0.112845` Chr`15` : `84,580,156`	0.003	0.997	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	0.997	0.003
rs285757 lBF = `-0.0915449` Chr`15` : `93,179,175`	0.003	0.997	0.000
rs7183263 lBF = `-0.113154` Chr`15` : `84,573,041`	0.003	0.997	0.000
rs10906982 lBF = `-0.111832` Chr`15` : `84,568,158`	0.003	0.997	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.002	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.002	0.998	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.000	0.998	0.002
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.002	0.998	0.000
rs1902618 lBF = `-0.0294751` Chr`15` : `61,164,199`	0.002	0.998	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.002	0.998	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.001	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.002	0.998	0.000
rs8024343 lBF = `-0.0518479` Chr`15` : `87,710,066`	0.000	0.998	0.002
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.002	0.998	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.002	0.998	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.002	0.998	0.000
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.000	0.998	0.001
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.998	0.001
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.001	0.998	0.000
rs11072566 lBF = `-0.0530728` Chr`15` : `76,293,971`	0.000	0.998	0.002
rs2305707 lBF = `0.120884` Chr`15` : `51,569,410`	0.000	0.998	0.002
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.001	0.998	0.000
rs4886755 lBF = `-0.067757` Chr`15` : `76,298,132`	0.000	0.998	0.001
rs1055254 lBF = `10.3836` Chr`15` : `49,620,200`	0.000	0.999	0.001
rs7178424 lBF = `-0.115284` Chr`15` : `62,380,259`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs958025 lBF = `9.05584` Chr`15` : `78,759,348`	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
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.000	0.999	0.001
rs28610385 lBF = `11.0231` Chr`15` : `79,090,606`	0.000	0.999	0.001
rs7173267 lBF = `10.9887` Chr`15` : `79,092,750`	0.000	0.999	0.001
rs11638321 lBF = `10.9777` Chr`15` : `79,092,183`	0.000	0.999	0.001
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.000	0.999	0.001
rs11634450 lBF = `10.9393` Chr`15` : `79,093,201`	0.000	0.999	0.001
rs11856536 lBF = `10.9145` Chr`15` : `79,094,325`	0.000	0.999	0.001
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.001	0.999	0.000
rs2401171 lBF = `-0.0455262` Chr`15` : `84,557,676`	0.001	0.999	0.000
rs4887113 lBF = `10.8073` Chr`15` : `79,095,287`	0.000	0.999	0.001
rs8038465 lBF = `-0.0298584` Chr`15` : `73,978,337`	0.000	0.999	0.001
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
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs78050772 lBF = `13.4833` Chr`15` : `49,578,577`	0.000	0.999	0.001
rs11073060 lBF = `1.83314` Chr`15` : `34,989,851`	0.001	0.999	0.000
rs11073058 lBF = `1.85639` Chr`15` : `34,989,626`	0.001	0.999	0.000
rs2118405 lBF = `-0.00674688` Chr`15` : `96,975,868`	0.001	0.999	0.000
rs936229 lBF = `2.72675` Chr`15` : `75,132,319`	0.000	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.001	0.999	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.001	0.999	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.000	0.999	0.001
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.001
rs10519227 lBF = `15.7044` Chr`15` : `49,746,364`	0.000	0.999	0.001
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs2938674 lBF = `9.93244` Chr`15` : `78,757,913`	0.001	0.999	0.000
rs1568657 lBF = `-0.0477838` Chr`15` : `83,726,179`	0.000	0.999	0.001
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.001
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	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
rs1104918 lBF = `-0.0484154` Chr`15` : `88,723,712`	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
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	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
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
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
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
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rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	0.999	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	0.999	0.001
rs207954 lBF = `-0.0656915` Chr`15` : `92,657,373`	0.001	0.999	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.000	0.999	0.001
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.000	0.999	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.000	0.999	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.000	0.999	0.000
rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.000	0.999	0.001
rs17730436 lBF = `0.0220115` Chr`15` : `53,942,928`	0.000	0.999	0.001
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	0.999	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	0.999	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	0.999	0.000
rs491567 lBF = `-0.0354221` Chr`15` : `53,946,593`	0.000	0.999	0.001
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	0.999	0.000
rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	0.000	0.999	0.001
rs7183604 lBF = `20.2205` Chr`15` : `78,899,213`	0.000	0.999	0.001
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.000	0.999	0.001
rs12913260 lBF = `12.0735` Chr`15` : `79,071,095`	0.000	0.999	0.001
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	0.999	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.001	0.999	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	0.999	0.001
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.000	0.999	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.000	0.999	0.001
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.001	0.999	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.001	0.999	0.000
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	0.999	0.000
rs578776 lBF = `12.2576` Chr`15` : `78,888,400`	0.000	0.999	0.000
rs2869032 lBF = `8.80467` Chr`15` : `78,714,561`	0.000	0.999	0.001
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.000	0.999	0.000
rs12185079 lBF = `0.00552748` Chr`15` : `100,271,253`	0.000	0.999	0.001
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	0.999	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	0.999	0.000
rs7179575 lBF = `-0.0527773` Chr`15` : `27,323,199`	0.000	0.999	0.001
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.000	0.999	0.000
rs12904234 lBF = `23.0302` Chr`15` : `78,779,384`	0.000	0.999	0.000
rs12903295 lBF = `23.0086` Chr`15` : `78,778,972`	0.000	0.999	0.000
rs56062135 lBF = `22.0047` Chr`15` : `67,455,630`	0.000	0.999	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	0.999	0.000
rs12440014 lBF = `17.3365` Chr`15` : `78,926,726`	0.000	0.999	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.000	0.999	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.000	0.999	0.001
rs2004038 lBF = `11.3758` Chr`15` : `79,071,406`	0.000	0.999	0.000
rs1129038 lBF = `4.88485` Chr`15` : `28,356,859`	0.000	0.999	0.000
rs16951275 lBF = `0.538361` Chr`15` : `68,077,168`	0.000	0.999	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.000	0.999	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.000	0.999	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	0.999	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	0.999	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	0.999	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	0.999	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	0.999	0.000
rs2123926 lBF = `-0.0542601` Chr`15` : `100,264,518`	0.000	0.999	0.000
rs11247124 lBF = `-0.0606221` Chr`15` : `100,265,725`	0.000	0.999	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.000	1.000	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.000	1.000	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.000	1.000	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.000	1.000	0.000
rs36146269 lBF = `23.2878` Chr`15` : `78,779,510`	0.000	1.000	0.000
rs965604 lBF = `23.272` Chr`15` : `78,789,223`	0.000	1.000	0.000
rs4338740 lBF = `20.272` Chr`15` : `49,735,297`	0.000	1.000	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs4886591 lBF = `13.1684` Chr`15` : `79,074,518`	0.000	1.000	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.000	1.000	0.000
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.000	1.000	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.000	1.000	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.000	1.000	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.000	1.000	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.000	1.000	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	1.000	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	1.000	0.000
rs11638981 lBF = `12.2249` Chr`15` : `49,321,529`	0.000	1.000	0.000
rs518425 lBF = `10.5967` Chr`15` : `78,883,813`	0.000	1.000	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	1.000	0.000
rs7178572 lBF = `1.57898` Chr`15` : `77,747,190`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.000	1.000	0.000
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs8029989 lBF = `-0.0610786` Chr`15` : `38,733,847`	0.000	1.000	0.000
rs78472555 lBF = `-0.0673363` Chr`15` : `100,267,322`	0.000	1.000	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.000	1.000	0.000
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.000	1.000	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.000	1.000	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.000	1.000	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.000	1.000	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.000	1.000	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.000	1.000	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.000	1.000	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.000	1.000	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	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

0.5348

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1039

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0533

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9887

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9822

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9818

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9805

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9720

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9707

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9698

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9560

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9477

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9427

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9377

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9294

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9113

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9106

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9097

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9093

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9041

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9009

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9000

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8959

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8870

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8869

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8742

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8708

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8697

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8501

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8403

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8318

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8244

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8208

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8172

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8117

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8042

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7926

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7804

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7738

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7694

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7689

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7265

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7241

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7202

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7028

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6852

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6673

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6562

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6230

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6212

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6138

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6097

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6084

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6023

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5776

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5760

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5711

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5674

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5459

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5436

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5415

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5330

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5309

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5294

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5278

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5245

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5168

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5118

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5109

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4993

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4640

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4405

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4198

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4040

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3862

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3812

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3802

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3777

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3144

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2757

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2743

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2591

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2449

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2364

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2328

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2312

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2310

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1664

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1607

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1182

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1135

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0909

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0621

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0595

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0592

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0550

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0542

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`)