TreeWAS – [Z82.1] Family history of blindness and visual loss

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
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.708	0.292	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.706	0.293	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.682	0.318	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.645	0.355	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.625	0.374	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.619	0.380	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.613	0.387	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.603	0.397	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.568	0.432	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.549	0.450	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.549	0.451	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.544	0.456	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.534	0.466	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.516	0.484	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.493	0.507	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.490	0.510	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.481	0.518	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.465	0.535	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.458	0.542	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.454	0.546	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.451	0.549	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.445	0.555	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.425	0.575	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.423	0.576	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.398	0.601	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.398	0.602	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.365	0.635	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.352	0.648	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.346	0.654	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.344	0.656	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.326	0.674	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.309	0.691	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.292	0.708	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.286	0.713	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.276	0.724	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.272	0.728	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.255	0.745	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.248	0.752	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.245	0.755	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.242	0.757	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.226	0.773	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.213	0.787	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.195	0.805	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.190	0.810	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.190	0.810	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.178	0.821	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.174	0.826	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.156	0.844	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.149	0.851	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.141	0.858	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.104	0.896	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.104	0.896	0.000
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.097	0.903	0.000
rs11330240 lBF = `53.4098` Chr`15` : `91,428,521`	0.091	0.909	0.000
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.083	0.916	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.067	0.933	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.062	0.938	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.061	0.939	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.043	0.957	0.000
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	0.957	0.043
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	0.959	0.041
rs4932370 lBF = `40.05` Chr`15` : `91,404,705`	0.036	0.964	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.035	0.965	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.000	0.969	0.031
rs7165042 lBF = `13.4045` Chr`15` : `79,123,338`	0.026	0.974	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	0.975	0.025
rs4468572 lBF = `12.8978` Chr`15` : `79,124,475`	0.025	0.975	0.000
rs7167085 lBF = `15.101` Chr`15` : `91,406,188`	0.000	0.977	0.022
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.021	0.978	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.021	0.979	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.018	0.982	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.017	0.983	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.016	0.983	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.015	0.984	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.014	0.986	0.000
rs56062135 lBF = `22.0047` Chr`15` : `67,455,630`	0.000	0.988	0.012
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.012	0.988	0.000
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.000	0.990	0.010
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.990	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.000	0.990	0.010
rs72743461 lBF = `21.8932` Chr`15` : `67,441,750`	0.000	0.990	0.010
rs17228058 lBF = `21.7381` Chr`15` : `67,450,305`	0.000	0.990	0.010
rs11856536 lBF = `10.9145` Chr`15` : `79,094,325`	0.000	0.991	0.009
rs4887113 lBF = `10.8073` Chr`15` : `79,095,287`	0.000	0.991	0.009
rs11634450 lBF = `10.9393` Chr`15` : `79,093,201`	0.000	0.991	0.009
rs7173267 lBF = `10.9887` Chr`15` : `79,092,750`	0.000	0.991	0.009
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.008	0.991	0.000
rs17293632 lBF = `21.6143` Chr`15` : `67,442,596`	0.000	0.992	0.008
rs28610385 lBF = `11.0231` Chr`15` : `79,090,606`	0.000	0.992	0.008
rs11638321 lBF = `10.9777` Chr`15` : `79,092,183`	0.000	0.992	0.008
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.008	0.992	0.000
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.000	0.992	0.008
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.008	0.992	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.008	0.992	0.000
rs3825807 lBF = `10.7606` Chr`15` : `79,089,111`	0.000	0.992	0.008
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.007	0.993	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.007	0.993	0.000
rs11853441 lBF = `7.14776` Chr`15` : `91,400,208`	0.007	0.993	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.006	0.994	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.005	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.005
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.005	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.005	0.995	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.004	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.003	0.997	0.000
rs2562784 lBF = `-0.044072` Chr`15` : `84,286,492`	0.003	0.997	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.003	0.997	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.003	0.997	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.003	0.997	0.000
rs4886592 lBF = `12.6218` Chr`15` : `79,082,547`	0.000	0.997	0.003
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.003	0.997	0.000
rs11072805 lBF = `12.0166` Chr`15` : `79,078,518`	0.000	0.997	0.003
rs11072803 lBF = `12.7352` Chr`15` : `79,077,878`	0.000	0.997	0.003
rs950169 lBF = `-0.0486341` Chr`15` : `84,706,461`	0.003	0.997	0.000
rs11072804 lBF = `11.8864` Chr`15` : `79,078,486`	0.000	0.997	0.002
rs2277546 lBF = `12.5381` Chr`15` : `79,083,376`	0.000	0.997	0.002
rs2277545 lBF = `12.5251` Chr`15` : `79,083,591`	0.000	0.997	0.002
rs7163013 lBF = `-0.0307682` Chr`15` : `78,698,759`	0.002	0.997	0.000
rs12050525 lBF = `12.7855` Chr`15` : `79,075,746`	0.000	0.998	0.002
rs2904220 lBF = `12.8397` Chr`15` : `79,076,704`	0.000	0.998	0.002
rs1825087 lBF = `12.8373` Chr`15` : `79,077,114`	0.000	0.998	0.002
rs12899147 lBF = `12.9814` Chr`15` : `79,079,512`	0.000	0.998	0.002
rs11858210 lBF = `12.875` Chr`15` : `79,078,358`	0.000	0.998	0.002
rs7175566 lBF = `-0.0653094` Chr`15` : `94,149,785`	0.002	0.998	0.000
rs11632102 lBF = `11.961` Chr`15` : `79,086,057`	0.000	0.998	0.002
rs12903203 lBF = `12.3822` Chr`15` : `79,084,933`	0.000	0.998	0.002
rs11631955 lBF = `12.3799` Chr`15` : `79,085,915`	0.000	0.998	0.002
rs11639044 lBF = `12.4408` Chr`15` : `79,083,814`	0.000	0.998	0.002
rs3825932 lBF = `-0.0834112` Chr`15` : `79,235,446`	0.000	0.998	0.002
rs11072806 lBF = `11.8753` Chr`15` : `79,079,074`	0.000	0.998	0.002
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.001	0.998	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.001	0.998	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.001	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.001	0.999	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs7178424 lBF = `-0.115284` Chr`15` : `62,380,259`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
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
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	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
rs60283548 lBF = `0` Chr`15` : `97,454,880`	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
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
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	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
rs1994016 lBF = `10.7289` Chr`15` : `79,080,234`	0.000	0.999	0.001
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.001	0.999	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.001
rs11072800 lBF = `17.702` Chr`15` : `79,045,857`	0.001	0.999	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.001	0.999	0.000
rs2472299 lBF = `3.80722` Chr`15` : `75,033,400`	0.000	0.999	0.001
rs1365505 lBF = `-0.0678241` Chr`15` : `50,477,138`	0.000	0.999	0.001
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.001	0.999	0.000
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.001
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	0.001	0.999	0.000
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.001	0.999	0.000
rs524952 lBF = `3.00816` Chr`15` : `35,005,886`	0.001	0.999	0.000
rs1055254 lBF = `10.3836` Chr`15` : `49,620,200`	0.000	0.999	0.001
rs10519201 lBF = `-0.0344554` Chr`15` : `49,221,591`	0.001	0.999	0.000
rs12907764 lBF = `12.9263` Chr`15` : `79,070,438`	0.000	0.999	0.001
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.001	0.999	0.000
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rs1077835 lBF = `-0.0112113` Chr`15` : `58,723,426`	0.000	1.000	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.000	1.000	0.000
rs1077834 lBF = `-0.0167799` Chr`15` : `58,723,479`	0.000	1.000	0.000
rs2070895 lBF = `-0.0197178` Chr`15` : `58,723,939`	0.000	1.000	0.000
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	1.000	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs6494849 lBF = `-0.0400256` Chr`15` : `70,480,614`	0.000	1.000	0.000
rs8035452 lBF = `-0.0444671` Chr`15` : `51,040,798`	0.000	1.000	0.000
rs11637235 lBF = `-0.0455725` Chr`15` : `48,633,153`	0.000	1.000	0.000
rs28890483 lBF = `-0.0496862` Chr`15` : `59,719,169`	0.000	1.000	0.000
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.000	1.000	0.000
rs1436955 lBF = `-0.0710419` Chr`15` : `62,404,382`	0.000	1.000	0.000
rs1392635 lBF = `-0.074101` Chr`15` : `69,398,026`	0.000	1.000	0.000
rs1986112 lBF = `-0.0766278` Chr`15` : `63,540,572`	0.000	1.000	0.000
rs933769 lBF = `-0.0799509` Chr`15` : `96,052,742`	0.000	1.000	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.000	1.000	0.000
rs3743104 lBF = `-0.0984586` Chr`15` : `33,023,985`	0.000	1.000	0.000
rs4842838 lBF = `-0.110493` Chr`15` : `84,582,124`	0.000	1.000	0.000
rs8030379 lBF = `-0.111817` Chr`15` : `84,590,910`	0.000	1.000	0.000
rs10906982 lBF = `-0.111832` Chr`15` : `84,568,158`	0.000	1.000	0.000
rs11259936 lBF = `-0.112077` Chr`15` : `84,580,582`	0.000	1.000	0.000
rs11259933 lBF = `-0.112845` Chr`15` : `84,580,156`	0.000	1.000	0.000
rs7183263 lBF = `-0.113154` Chr`15` : `84,573,041`	0.000	1.000	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.000	1.000	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.000	1.000	0.000
rs11638981 lBF = `12.2249` Chr`15` : `49,321,529`	0.000	1.000	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	1.000	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.000	1.000	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.000	1.000	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.000	1.000	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.000	1.000	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	1.000	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs2028299 lBF = `0.568989` Chr`15` : `90,374,257`	0.000	1.000	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs2290203 lBF = `0.222692` Chr`15` : `91,512,067`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs12324870 lBF = `0.189277` Chr`15` : `78,995,801`	0.000	1.000	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs588136 lBF = `0.0543852` Chr`15` : `58,730,498`	0.000	1.000	0.000
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs2351491 lBF = `0.0202389` Chr`15` : `89,398,105`	0.000	1.000	0.000
rs261334 lBF = `0.0183237` Chr`15` : `58,726,744`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	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
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
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.000	1.000	0.000
rs7162542 lBF = `-0.0291393` Chr`15` : `84,514,290`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs2663905 lBF = `-0.0436781` Chr`15` : `81,359,137`	0.000	1.000	0.000
rs2401171 lBF = `-0.0455262` Chr`15` : `84,557,676`	0.000	1.000	0.000
rs62018380 lBF = `-0.0507671` Chr`15` : `95,275,917`	0.000	1.000	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	1.000	0.000
rs8029989 lBF = `-0.0610786` Chr`15` : `38,733,847`	0.000	1.000	0.000
rs6083 lBF = `-0.0716222` Chr`15` : `58,838,010`	0.000	1.000	0.000
rs2238355 lBF = `-0.0888031` Chr`15` : `92,685,778`	0.000	1.000	0.000
rs920915 lBF = `-0.0906984` Chr`15` : `58,688,467`	0.000	1.000	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	1.000	0.000
rs3815003 lBF = `-0.10576` Chr`15` : `91,312,823`	0.000	1.000	0.000
rs12914626 lBF = `-0.107182` Chr`15` : `58,738,423`	0.000	1.000	0.000
rs338389 lBF = `-0.117711` Chr`15` : `68,260,008`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs12591452 lBF = `11.8657` Chr`15` : `49,273,619`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.000	1.000	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.000	1.000	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	1.000	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	1.000	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	1.000	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.000	1.000	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	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 X0199

log Bayes Factor = 350.038

contains 3 variants

0.5275

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3463

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2057

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1442

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9041

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8331

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7886

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7494

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7176

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7169

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7169

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7168

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7166

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7164

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7141

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7128

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7093

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7067

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7059

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7029

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7017

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7010

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7008

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6990

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6956

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6910

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6907

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6904

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6885

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6882

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6841

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6814

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6814

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6802

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6768

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6720

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6709

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6702

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6573

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6564

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6561

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6524

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6444

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6360

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6276

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6264

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6248

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6215

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6213

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6194

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6104

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6055

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6047

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6010

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5953

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5924

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5911

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5810

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5805

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5798

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5793

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5782

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5662

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5630

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5586

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5564

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5466

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5390

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5377

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5308

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5108

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5096

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5084

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4953

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4920

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4910

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4883

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4861

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4854

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4838

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4836

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4508

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4481

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4461

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4458

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4361

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4182

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4168

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4145

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4104

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4068

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4047

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3941

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3909

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3869

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3722

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3655

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3607

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3602

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3572

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3565

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3552

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3541

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3475

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3418

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3361

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3330

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3313

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3091

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3077

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3004

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2833

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2779

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2762

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2694

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2607

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2469

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2304

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2170

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2106

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2041

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1952

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1931

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1853

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1734

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1622

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1511

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1395

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1380

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1363

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1356

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1281

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1188

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1072

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0833

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0779

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0705

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0657

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0594

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0552

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`)