TreeWAS – [R63.0] Anorexia

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
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.722	0.278	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.617	0.383	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.616	0.384	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.614	0.386	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.599	0.401	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.548	0.451	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.536	0.464	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.521	0.478	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.521	0.479	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.505	0.495	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.456	0.544	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.448	0.552	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.411	0.589	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.402	0.598	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.401	0.599	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.388	0.612	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.388	0.612	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.382	0.618	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.334	0.665	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.326	0.674	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.325	0.675	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.323	0.676	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.317	0.683	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.304	0.696	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.286	0.714	0.001
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.276	0.724	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.272	0.728	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.258	0.742	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.233	0.767	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.226	0.774	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.214	0.785	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.214	0.786	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.214	0.786	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.199	0.801	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.197	0.803	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.190	0.810	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.169	0.831	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.160	0.839	0.001
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.132	0.868	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.128	0.872	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.121	0.879	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.113	0.887	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.110	0.890	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.107	0.893	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.096	0.904	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.095	0.904	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.092	0.908	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.086	0.914	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.085	0.915	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.083	0.916	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.082	0.917	0.001
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.080	0.920	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.079	0.921	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.070	0.929	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.065	0.935	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.062	0.938	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.055	0.945	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.046	0.954	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.046	0.954	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	0.955	0.045
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.042	0.958	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.038	0.962	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.036	0.963	0.001
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.036	0.964	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.033	0.966	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.032	0.967	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.032	0.968	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.030	0.970	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.028	0.972	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.025	0.974	0.001
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.023	0.977	0.000
rs12595433 lBF = `-0.0640866` Chr`15` : `63,290,645`	0.023	0.977	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.022	0.978	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.019	0.981	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.017	0.983	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.015	0.985	0.000
rs4984499 lBF = `0.0976222` Chr`15` : `96,647,793`	0.000	0.986	0.014
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.012	0.988	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.011	0.988	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.012	0.988	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.011	0.988	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.011	0.989	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.009	0.991	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.991	0.009
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.008	0.992	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.008	0.992	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.007	0.993	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.007	0.993	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.007	0.993	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.006	0.994	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.005	0.995	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.000	0.995	0.005
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.005	0.995	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.004	0.996	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.004	0.996	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.003	0.996	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.003	0.997	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.003	0.997	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.003	0.997	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	0.997	0.003
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.003	0.997	0.000
rs903552 lBF = `-0.0690267` Chr`15` : `101,997,991`	0.003	0.997	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.002	0.998	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs7176508 lBF = `2.28547` Chr`15` : `70,018,990`	0.000	0.998	0.002
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.002	0.998	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.002	0.998	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.998	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.002	0.998	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.002	0.998	0.000
rs8023715 lBF = `-0.0503426` Chr`15` : `97,607,681`	0.000	0.998	0.002
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.002	0.998	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.002	0.998	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.002	0.998	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.998	0.002
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.002	0.998	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.002	0.998	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.001	0.998	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.002	0.998	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.001
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.001	0.998	0.001
rs2652822 lBF = `-0.130664` Chr`15` : `63,422,772`	0.002	0.998	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.001	0.998	0.000
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.000	0.998	0.001
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.000	0.999	0.001
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	0.999	0.001
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs6496074 lBF = `-0.123248` Chr`15` : `95,511,837`	0.001	0.999	0.000
rs1472631 lBF = `-0.130445` Chr`15` : `63,423,739`	0.001	0.999	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.001	0.999	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	0.999	0.001
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	0.000	0.999	0.001
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
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.001
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	0.999	0.001
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.001	0.999	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	0.999	0.001
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.000	0.999	0.001
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.001	0.999	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.001	0.999	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.001	0.999	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	0.999	0.001
rs1437588 lBF = `-0.0796046` Chr`15` : `96,809,782`	0.001	0.999	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.001	0.999	0.000
rs8038465 lBF = `-0.0298584` Chr`15` : `73,978,337`	0.000	0.999	0.001
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.001	0.999	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	0.999	0.001
rs9920506 lBF = `6.44917` Chr`15` : `78,931,057`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	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
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
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
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
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
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
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
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	0.999	0.001
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.000	0.999	0.001
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
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	0.999	0.001
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
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.001	0.999	0.000
rs937254 lBF = `-0.0852167` Chr`15` : `57,910,164`	0.000	0.999	0.001
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rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.000	1.000	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.000	1.000	0.000
rs950027 lBF = `-0.0999884` Chr`15` : `45,801,035`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs67175876 lBF = `9.17872` Chr`15` : `78,928,399`	0.000	1.000	0.000
rs8024033 lBF = `0.115052` Chr`15` : `40,403,657`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.000	1.000	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.000	1.000	0.000
rs12438945 lBF = `-0.0479188` Chr`15` : `55,226,570`	0.000	1.000	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	1.000	0.000
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.000	1.000	0.000
rs17664713 lBF = `-0.0717038` Chr`15` : `95,318,586`	0.000	1.000	0.000
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	1.000	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	1.000	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	1.000	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.000	1.000	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.000	1.000	0.000
rs10852151 lBF = `0.713437` Chr`15` : `92,083,295`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.000	1.000	0.000
rs4776472 lBF = `0.111489` Chr`15` : `70,006,873`	0.000	1.000	0.000
rs2412475 lBF = `0.0764129` Chr`15` : `40,334,576`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs2044029 lBF = `0.0353407` Chr`15` : `71,679,959`	0.000	1.000	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs17612678 lBF = `-0.0232809` Chr`15` : `93,815,129`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs448720 lBF = `-0.0685717` Chr`15` : `68,198,911`	0.000	1.000	0.000
rs8031341 lBF = `-0.0785045` Chr`15` : `91,313,224`	0.000	1.000	0.000
rs4778720 lBF = `-0.0829449` Chr`15` : `79,975,647`	0.000	1.000	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	1.000	0.000
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	1.000	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	1.000	0.000
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	1.000	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.000	1.000	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs2572207 lBF = `-0.0391057` Chr`15` : `66,070,693`	0.000	1.000	0.000
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.000	1.000	0.000
rs4777542 lBF = `-0.0815888` Chr`15` : `73,082,366`	0.000	1.000	0.000
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.000	1.000	0.000
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.000	1.000	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.000	1.000	0.000
rs9788682 lBF = `16.534` Chr`15` : `78,802,586`	0.000	1.000	0.000
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	0.000	1.000	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	1.000	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs7173419 lBF = `0.066687` Chr`15` : `28,196,821`	0.000	1.000	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs2929278 lBF = `-0.0360307` Chr`15` : `44,250,313`	0.000	1.000	0.000
rs4886670 lBF = `-0.0369237` Chr`15` : `75,449,674`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs28420834 lBF = `-0.0406623` Chr`15` : `82,513,121`	0.000	1.000	0.000
rs1471225 lBF = `-0.0492171` Chr`15` : `29,888,396`	0.000	1.000	0.000
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.000	1.000	0.000
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.000	1.000	0.000
rs12593813 lBF = `-0.0607882` Chr`15` : `68,036,852`	0.000	1.000	0.000
rs8041675 lBF = `-0.0735212` Chr`15` : `37,342,602`	0.000	1.000	0.000
rs2553218 lBF = `-0.0759874` Chr`15` : `54,868,668`	0.000	1.000	0.000
rs1986112 lBF = `-0.0766278` Chr`15` : `63,540,572`	0.000	1.000	0.000
rs72743461 lBF = `21.8932` Chr`15` : `67,441,750`	0.000	1.000	0.000
rs17228058 lBF = `21.7381` Chr`15` : `67,450,305`	0.000	1.000	0.000
rs17293632 lBF = `21.6143` Chr`15` : `67,442,596`	0.000	1.000	0.000
rs7170068 lBF = `18.9141` Chr`15` : `78,912,943`	0.000	1.000	0.000
rs8043119 lBF = `16.5105` Chr`15` : `79,061,002`	0.000	1.000	0.000
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	1.000	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	1.000	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.000	1.000	0.000
rs6495122 lBF = `1.14806` Chr`15` : `75,125,645`	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

0.3223

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0524

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9994

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9983

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9909

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9903

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9869

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9867

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9816

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9655

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9624

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9587

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9553

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9494

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9454

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9168

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8767

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8556

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8493

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8352

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8128

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7719

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7617

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7495

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7408

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7407

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7325

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6844

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6221

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5846

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5474

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5382

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4647

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4554

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4410

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4215

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4035

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3945

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3934

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3922

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3636

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3461

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3223

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3195

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3101

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2939

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2794

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2781

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2048

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1813

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1787

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1774

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1760

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1753

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1561

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1483

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1248

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1225

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1125

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1120

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1108

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1097

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1086

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0950

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0925

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0796

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0794

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0749

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0687

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0677

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0637

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0609

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0603

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0560

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`)