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
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.716	0.284	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.701	0.299	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.612	0.387	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.612	0.388	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.574	0.426	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.566	0.434	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.557	0.443	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.535	0.465	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.476	0.524	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.473	0.527	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.467	0.533	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.442	0.558	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.404	0.595	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.403	0.597	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.399	0.601	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.387	0.613	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.373	0.627	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.366	0.634	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.364	0.636	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.362	0.638	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.361	0.639	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.360	0.640	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.356	0.643	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.333	0.667	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.316	0.684	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.311	0.688	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.275	0.725	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.257	0.743	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.229	0.771	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.192	0.808	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.187	0.813	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.185	0.815	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.173	0.826	0.001
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.160	0.839	0.001
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.157	0.843	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.131	0.869	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.095	0.905	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.090	0.910	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.079	0.921	0.001
rs62100765 lBF = `5.27252` Chr`18` : `50,735,418`	0.070	0.930	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.056	0.943	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.041	0.958	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.041	0.959	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.039	0.961	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.039	0.961	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.036	0.964	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.034	0.966	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.031	0.969	0.000
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.030	0.970	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.027	0.972	0.000
rs62100766 lBF = `5.58248` Chr`18` : `50,737,358`	0.027	0.973	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.024	0.975	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.023	0.977	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.023	0.977	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.020	0.980	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.018	0.982	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.017	0.983	0.000
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.015	0.985	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.014	0.986	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.008	0.992	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.000	0.992	0.007
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.007	0.993	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.006	0.994	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.006	0.994	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.005	0.994	0.000
rs4632195 lBF = `4.33747` Chr`18` : `50,746,748`	0.005	0.995	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.004	0.996	0.000
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.996	0.004
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.004	0.996	0.000
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.004	0.996	0.000
rs149615216 lBF = `5.16337` Chr`18` : `47,106,028`	0.000	0.996	0.004
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.003	0.996	0.000
rs72881251 lBF = `-0.00308421` Chr`18` : `22,674,660`	0.000	0.997	0.003
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.003	0.997	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.003	0.997	0.000
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.003	0.997	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.003	0.997	0.000
rs16953013 lBF = `9.1474` Chr`18` : `48,780,405`	0.003	0.997	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.003	0.997	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.003	0.997	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.002	0.998	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.002	0.998	0.000
rs1826508 lBF = `0.0032493` Chr`18` : `1,206,984`	0.000	0.998	0.002
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.002	0.998	0.000
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.000	0.998	0.002
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.001	0.998	0.000
rs4372758 lBF = `5.5759` Chr`18` : `50,683,306`	0.002	0.998	0.000
rs7226371 lBF = `0.0494513` Chr`18` : `1,850,771`	0.001	0.998	0.000
rs79588679 lBF = `2.93535` Chr`18` : `19,907,770`	0.001	0.998	0.000
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	0.998	0.001
rs6506284 lBF = `0.00043585` Chr`18` : `5,030,023`	0.001	0.998	0.000
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.001	0.999	0.000
rs7243066 lBF = `-0.0706306` Chr`18` : `11,282,319`	0.001	0.999	0.000
rs1351435 lBF = `0.186306` Chr`18` : `49,404,964`	0.000	0.999	0.001
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.001	0.999	0.000
rs6506569 lBF = `0.00824465` Chr`18` : `8,275,857`	0.001	0.999	0.000
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs28877609 lBF = `0.0005859` Chr`18` : `2,865,505`	0.001	0.999	0.000
rs2278331 lBF = `0.0445296` Chr`18` : `71,581,506`	0.001	0.999	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.001	0.999	0.000
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.001	0.999	0.000
rs2168303 lBF = `0.00005588` Chr`18` : `58,375,934`	0.001	0.999	0.000
rs143037915 lBF = `0.00006957` Chr`18` : `44,973,221`	0.001	0.999	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.001	0.999	0.000
rs9950590 lBF = `0.00003279` Chr`18` : `8,043,661`	0.001	0.999	0.000
rs148187869 lBF = `0` Chr`18` : `25,261,838`	0.001	0.999	0.001
rs190343823 lBF = `0` Chr`18` : `33,835,336`	0.001	0.999	0.001
rs192178588 lBF = `0` Chr`18` : `25,223,007`	0.001	0.999	0.001
rs145717157 lBF = `0` Chr`18` : `26,713,277`	0.001	0.999	0.001
rs148138116 lBF = `0` Chr`18` : `53,201,480`	0.001	0.999	0.001
rs138098194 lBF = `0` Chr`18` : `64,507,408`	0.001	0.999	0.001
rs141475580 lBF = `0` Chr`18` : `5,936,481`	0.001	0.999	0.001
rs146111930 lBF = `0` Chr`18` : `25,262,370`	0.001	0.999	0.001
rs116989867 lBF = `0` Chr`18` : `77,172,316`	0.001	0.999	0.001
rs75433892 lBF = `0` Chr`18` : `11,712,922`	0.001	0.999	0.001
rs148133787 lBF = `0` Chr`18` : `25,227,459`	0.001	0.999	0.001
rs141318925 lBF = `0` Chr`18` : `6,623,040`	0.001	0.999	0.001
rs184167040 lBF = `0` Chr`18` : `39,038,041`	0.001	0.999	0.001
rs190650493 lBF = `0` Chr`18` : `30,625,009`	0.001	0.999	0.001
rs9948784 lBF = `0` Chr`18` : `72,897,161`	0.001	0.999	0.001
rs77741790 lBF = `-0.00001874` Chr`18` : `6,894,475`	0.000	0.999	0.001
rs76752096 lBF = `-0.0000229` Chr`18` : `25,137,059`	0.000	0.999	0.001
rs9953852 lBF = `-0.0000316` Chr`18` : `33,097,960`	0.001	0.999	0.000
rs7243299 lBF = `-0.00003336` Chr`18` : `7,755,771`	0.001	0.999	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	0.999	0.001
rs8098064 lBF = `-0.00017223` Chr`18` : `8,209,269`	0.001	0.999	0.000
rs7238309 lBF = `0.00002807` Chr`18` : `55,145,692`	0.001	0.999	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.001	0.999	0.000
rs16950303 lBF = `-0.00279929` Chr`18` : `46,582,359`	0.001	0.999	0.000
rs41452747 lBF = `6.20014` Chr`18` : `52,918,380`	0.001	0.999	0.000
rs1157477 lBF = `-0.0411558` Chr`18` : `73,850,510`	0.000	0.999	0.001
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.001	0.999	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.001	0.999	0.000
rs8087073 lBF = `0.0584845` Chr`18` : `2,967,845`	0.000	0.999	0.001
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.001	0.999	0.000
rs8083432 lBF = `0.00600591` Chr`18` : `22,731,360`	0.000	0.999	0.001
rs72923818 lBF = `-0.00088852` Chr`18` : `46,683,754`	0.001	0.999	0.000
rs56728521 lBF = `-0.0617335` Chr`18` : `1,984,421`	0.000	0.999	0.001
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.000	0.999	0.000
rs1992269 lBF = `-0.0215628` Chr`18` : `1,872,317`	0.001	0.999	0.000
rs4133168 lBF = `-0.0318754` Chr`18` : `22,812,508`	0.001	0.999	0.000
rs17084405 lBF = `-0.0420614` Chr`18` : `69,096,398`	0.001	0.999	0.000
rs9953270 lBF = `-0.0523949` Chr`18` : `24,687,371`	0.001	0.999	0.000
rs9961915 lBF = `-0.0540138` Chr`18` : `24,687,324`	0.001	0.999	0.000
rs139095266 lBF = `0.0102423` Chr`18` : `66,379,738`	0.000	0.999	0.000
rs7234531 lBF = `-0.00917178` Chr`18` : `64,570,385`	0.000	0.999	0.000
rs17077540 lBF = `0.0137266` Chr`18` : `65,285,279`	0.000	0.999	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.000	0.999	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.000	0.999	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.000	0.999	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.000	0.999	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.000	0.999	0.000
rs74681568 lBF = `-0.0152544` Chr`18` : `50,741,103`	0.000	0.999	0.000
rs17783459 lBF = `0.00513874` Chr`18` : `42,329,076`	0.000	0.999	0.000
rs2049186 lBF = `-0.0288966` Chr`18` : `32,015,228`	0.000	0.999	0.000
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.000	0.999	0.000
rs7235440 lBF = `-0.0928884` Chr`18` : `22,106,776`	0.000	0.999	0.000
rs1291183 lBF = `-0.0259174` Chr`18` : `849,178`	0.000	0.999	0.000
rs9961574 lBF = `-0.039267` Chr`18` : `8,536,116`	0.000	0.999	0.000
rs17773430 lBF = `0.194865` Chr`18` : `57,963,117`	0.000	1.000	0.000
rs509477 lBF = `0.0730442` Chr`18` : `32,559,295`	0.000	1.000	0.000
rs142981069 lBF = `-0.00651573` Chr`18` : `58,826,022`	0.000	1.000	0.000
rs11081417 lBF = `-0.0246968` Chr`18` : `897,091`	0.000	1.000	0.000
rs1944582 lBF = `-0.0780228` Chr`18` : `45,815,417`	0.000	1.000	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.000	1.000	0.000
rs73963343 lBF = `-0.011417` Chr`18` : `64,699,974`	0.000	1.000	0.000
rs4308051 lBF = `-0.0254337` Chr`18` : `20,735,461`	0.000	1.000	0.000
rs2957128 lBF = `-0.0531889` Chr`18` : `60,060,735`	0.000	1.000	0.000
rs527616 lBF = `-0.0720427` Chr`18` : `24,337,424`	0.000	1.000	0.000
rs4797996 lBF = `-0.0742342` Chr`18` : `2,507,425`	0.000	1.000	0.000
rs8083346 lBF = `-0.0774234` Chr`18` : `62,998,775`	0.000	1.000	0.000
rs9960150 lBF = `1.82464` Chr`18` : `48,008,440`	0.000	1.000	0.000
rs62103177 lBF = `1.05415` Chr`18` : `77,624,479`	0.000	1.000	0.000
rs4800148 lBF = `0.137038` Chr`18` : `20,724,328`	0.000	1.000	0.000
rs4800452 lBF = `-0.0380228` Chr`18` : `20,727,611`	0.000	1.000	0.000
rs8091660 lBF = `-0.0605294` Chr`18` : `46,087,936`	0.000	1.000	0.000
rs1784848 lBF = `0.205323` Chr`18` : `2,176,439`	0.000	1.000	0.000
rs7506045 lBF = `0.0511143` Chr`18` : `11,987,272`	0.000	1.000	0.000
rs1995138 lBF = `-0.0203531` Chr`18` : `51,526,568`	0.000	1.000	0.000
rs1943199 lBF = `-0.029086` Chr`18` : `73,462,854`	0.000	1.000	0.000
rs7239883 lBF = `-0.0798279` Chr`18` : `40,147,671`	0.000	1.000	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.000	1.000	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.000	1.000	0.000
rs10503015 lBF = `0.00963828` Chr`18` : `55,175,143`	0.000	1.000	0.000
rs4369779 lBF = `-0.0254647` Chr`18` : `20,735,408`	0.000	1.000	0.000
rs7238033 lBF = `-0.0992199` Chr`18` : `43,316,966`	0.000	1.000	0.000
rs10775480 lBF = `-0.09977` Chr`18` : `43,317,282`	0.000	1.000	0.000
rs9956878 lBF = `-0.115392` Chr`18` : `73,536,711`	0.000	1.000	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.000	1.000	0.000
rs7240392 lBF = `5.36543` Chr`18` : `43,198,141`	0.000	1.000	0.000
rs62097986 lBF = `5.33339` Chr`18` : `50,818,827`	0.000	1.000	0.000
rs12606068 lBF = `1.37012` Chr`18` : `65,191,491`	0.000	1.000	0.000
rs158856 lBF = `0.816129` Chr`18` : `55,910,523`	0.000	1.000	0.000
rs2586731 lBF = `0.0217857` Chr`18` : `48,317,159`	0.000	1.000	0.000
rs17058466 lBF = `-0.00023739` Chr`18` : `73,605,345`	0.000	1.000	0.000
rs35815903 lBF = `-0.00326249` Chr`18` : `69,274,571`	0.000	1.000	0.000
rs58263042 lBF = `-0.00749228` Chr`18` : `29,979,575`	0.000	1.000	0.000
rs4799915 lBF = `-0.0565602` Chr`18` : `34,928,639`	0.000	1.000	0.000
rs11080466 lBF = `-0.0642206` Chr`18` : `10,899,028`	0.000	1.000	0.000
rs12456874 lBF = `-0.0687189` Chr`18` : `13,366,862`	0.000	1.000	0.000
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rs7236492 lBF = `0.0825699` Chr`18` : `77,220,616`	0.000	1.000	0.000
rs4800279 lBF = `0.033325` Chr`18` : `25,070,355`	0.000	1.000	0.000
rs9952762 lBF = `0.0275078` Chr`18` : `73,401,650`	0.000	1.000	0.000
rs11875185 lBF = `0.0153574` Chr`18` : `55,627,840`	0.000	1.000	0.000
rs17086172 lBF = `0.0126079` Chr`18` : `70,227,021`	0.000	1.000	0.000
rs6565887 lBF = `0.00863623` Chr`18` : `74,182,975`	0.000	1.000	0.000
rs2217560 lBF = `0.0078309` Chr`18` : `70,150,939`	0.000	1.000	0.000
rs10502868 lBF = `0.00560334` Chr`18` : `43,153,949`	0.000	1.000	0.000
rs12456021 lBF = `0.00182836` Chr`18` : `56,213,390`	0.000	1.000	0.000
rs11662721 lBF = `0.00155075` Chr`18` : `19,261,413`	0.000	1.000	0.000
rs3794924 lBF = `-0.0125339` Chr`18` : `29,041,734`	0.000	1.000	0.000
rs79828856 lBF = `-0.0126522` Chr`18` : `35,036,830`	0.000	1.000	0.000
rs12959333 lBF = `-0.0134637` Chr`18` : `33,199,916`	0.000	1.000	0.000
rs62096106 lBF = `-0.0161061` Chr`18` : `59,838,919`	0.000	1.000	0.000
rs17088339 lBF = `-0.0172204` Chr`18` : `71,476,133`	0.000	1.000	0.000
rs17574271 lBF = `-0.0190117` Chr`18` : `3,970,124`	0.000	1.000	0.000
rs275856 lBF = `-0.0230627` Chr`18` : `21,839,152`	0.000	1.000	0.000
rs17083844 lBF = `-0.0283239` Chr`18` : `68,842,243`	0.000	1.000	0.000
rs2729409 lBF = `-0.0291495` Chr`18` : `28,141,688`	0.000	1.000	0.000
rs7505290 lBF = `-0.0327581` Chr`18` : `74,183,562`	0.000	1.000	0.000
rs1940973 lBF = `-0.0337389` Chr`18` : `12,550,747`	0.000	1.000	0.000
rs12455924 lBF = `-0.0341717` Chr`18` : `11,064,409`	0.000	1.000	0.000
rs11082321 lBF = `-0.0346267` Chr`18` : `20,776,651`	0.000	1.000	0.000
rs1187220 lBF = `-0.0354844` Chr`18` : `35,351,726`	0.000	1.000	0.000
rs7228133 lBF = `-0.0646677` Chr`18` : `4,539,085`	0.000	1.000	0.000
rs62097350 lBF = `-0.0665892` Chr`18` : `13,298,943`	0.000	1.000	0.000
rs10853531 lBF = `-0.0699888` Chr`18` : `42,824,449`	0.000	1.000	0.000
rs2717128 lBF = `-0.071274` Chr`18` : `74,987,632`	0.000	1.000	0.000
rs2187324 lBF = `-0.0884729` Chr`18` : `55,491,965`	0.000	1.000	0.000
rs7231041 lBF = `-0.103691` Chr`18` : `23,393,104`	0.000	1.000	0.000
rs1893217 lBF = `16.5233` Chr`18` : `12,809,340`	0.000	1.000	0.000
rs80191532 lBF = `12.2522` Chr`18` : `12,752,868`	0.000	1.000	0.000
rs7237422 lBF = `7.61091` Chr`18` : `69,334,652`	0.000	1.000	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.000	1.000	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.000	1.000	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.000	1.000	0.000
rs62095459 lBF = `5.05503` Chr`18` : `44,621,382`	0.000	1.000	0.000
rs9304270 lBF = `1.42842` Chr`18` : `39,937,509`	0.000	1.000	0.000
rs12956009 lBF = `1.37696` Chr`18` : `44,768,024`	0.000	1.000	0.000
rs1346987 lBF = `0.787418` Chr`18` : `40,102,641`	0.000	1.000	0.000
rs7231412 lBF = `0.776366` Chr`18` : `40,105,657`	0.000	1.000	0.000
rs8092503 lBF = `0.672041` Chr`18` : `52,479,487`	0.000	1.000	0.000
rs17697518 lBF = `0.615094` Chr`18` : `38,765,659`	0.000	1.000	0.000
rs9962038 lBF = `0.422456` Chr`18` : `74,760,015`	0.000	1.000	0.000
rs7235840 lBF = `0.173722` Chr`18` : `73,725,200`	0.000	1.000	0.000
rs8090196 lBF = `0.155151` Chr`18` : `40,075,956`	0.000	1.000	0.000
rs8092234 lBF = `0.133484` Chr`18` : `9,371,333`	0.000	1.000	0.000
rs1618992 lBF = `0.12992` Chr`18` : `26,246,051`	0.000	1.000	0.000
rs12455557 lBF = `0.122909` Chr`18` : `46,317,088`	0.000	1.000	0.000
rs73439953 lBF = `0.0860121` Chr`18` : `56,602,702`	0.000	1.000	0.000
rs10503019 lBF = `0.0660409` Chr`18` : `55,454,377`	0.000	1.000	0.000
rs357894 lBF = `0.0370841` Chr`18` : `46,579,970`	0.000	1.000	0.000
rs11664536 lBF = `0.0347783` Chr`18` : `5,578,982`	0.000	1.000	0.000
rs9958208 lBF = `0.0324831` Chr`18` : `40,591,084`	0.000	1.000	0.000
rs12964323 lBF = `0.0316072` Chr`18` : `65,718,956`	0.000	1.000	0.000
rs9953769 lBF = `0.0267593` Chr`18` : `71,021,568`	0.000	1.000	0.000
rs9952641 lBF = `0.0229198` Chr`18` : `318,040`	0.000	1.000	0.000
rs8093763 lBF = `0.0196925` Chr`18` : `57,503,378`	0.000	1.000	0.000
rs12961799 lBF = `0.0175059` Chr`18` : `12,904,399`	0.000	1.000	0.000
rs10502431 lBF = `0.0171681` Chr`18` : `20,015,975`	0.000	1.000	0.000
rs768048 lBF = `0.0126005` Chr`18` : `50,285,398`	0.000	1.000	0.000
rs10514168 lBF = `0.0067863` Chr`18` : `73,098,949`	0.000	1.000	0.000
rs8087995 lBF = `-0.00275216` Chr`18` : `65,723,001`	0.000	1.000	0.000
rs72926932 lBF = `-0.00277141` Chr`18` : `53,050,646`	0.000	1.000	0.000
rs4799088 lBF = `-0.0108338` Chr`18` : `77,573,548`	0.000	1.000	0.000
rs2926621 lBF = `-0.0127574` Chr`18` : `73,620,170`	0.000	1.000	0.000
rs56775891 lBF = `-0.0160958` Chr`18` : `77,575,613`	0.000	1.000	0.000
rs7233332 lBF = `-0.0206989` Chr`18` : `9,784,914`	0.000	1.000	0.000
rs12165098 lBF = `-0.0207157` Chr`18` : `36,680,499`	0.000	1.000	0.000
rs3810046 lBF = `-0.021185` Chr`18` : `6,941,662`	0.000	1.000	0.000
rs12954803 lBF = `-0.0219224` Chr`18` : `22,136,569`	0.000	1.000	0.000
rs9951602 lBF = `-0.029318` Chr`18` : `76,657,779`	0.000	1.000	0.000
rs7505784 lBF = `-0.0300839` Chr`18` : `27,184,881`	0.000	1.000	0.000
rs7226677 lBF = `-0.0311434` Chr`18` : `278,796`	0.000	1.000	0.000
rs8088420 lBF = `-0.0330147` Chr`18` : `56,511,908`	0.000	1.000	0.000
rs8098316 lBF = `-0.0332384` Chr`18` : `20,672,555`	0.000	1.000	0.000
rs1879352 lBF = `-0.0341833` Chr`18` : `2,498,054`	0.000	1.000	0.000
rs1517037 lBF = `-0.0381763` Chr`18` : `56,878,274`	0.000	1.000	0.000
rs4398173 lBF = `-0.0388361` Chr`18` : `6,941,108`	0.000	1.000	0.000
rs2469434 lBF = `-0.0402043` Chr`18` : `67,544,046`	0.000	1.000	0.000
rs12605822 lBF = `-0.0419833` Chr`18` : `9,296,524`	0.000	1.000	0.000
rs9807334 lBF = `-0.0439374` Chr`18` : `48,524,161`	0.000	1.000	0.000
rs681383 lBF = `-0.0461021` Chr`18` : `8,323,984`	0.000	1.000	0.000
rs473518 lBF = `-0.0490527` Chr`18` : `20,084,674`	0.000	1.000	0.000
rs3906453 lBF = `-0.0524443` Chr`18` : `51,258,338`	0.000	1.000	0.000
rs473976 lBF = `-0.0567698` Chr`18` : `40,418,431`	0.000	1.000	0.000
rs12967884 lBF = `-0.0569123` Chr`18` : `76,591,635`	0.000	1.000	0.000
rs8095374 lBF = `-0.0592898` Chr`18` : `43,793,488`	0.000	1.000	0.000
rs34777351 lBF = `-0.0625803` Chr`18` : `23,106,223`	0.000	1.000	0.000
rs1893154 lBF = `-0.0669518` Chr`18` : `905,125`	0.000	1.000	0.000
rs1380836 lBF = `-0.0690892` Chr`18` : `41,480,527`	0.000	1.000	0.000
rs6507022 lBF = `-0.0749855` Chr`18` : `30,998,131`	0.000	1.000	0.000
rs7244261 lBF = `-0.0766028` Chr`18` : `66,214,696`	0.000	1.000	0.000
rs1126214 lBF = `-0.0811569` Chr`18` : `28,639,548`	0.000	1.000	0.000
rs529445 lBF = `-0.0902455` Chr`18` : `55,783,497`	0.000	1.000	0.000
rs605920 lBF = `-0.100958` Chr`18` : `62,884,918`	0.000	1.000	0.000
rs11662297 lBF = `-0.109424` Chr`18` : `6,668,050`	0.000	1.000	0.000
rs560248 lBF = `-0.112589` Chr`18` : `58,226,027`	0.000	1.000	0.000
rs2048485 lBF = `58.085` Chr`18` : `42,090,667`	0.000	1.000	0.000
rs613872 lBF = `11.527` Chr`18` : `53,210,302`	0.000	1.000	0.000
rs17700144 lBF = `7.11232` Chr`18` : `57,811,982`	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 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 X0150

log Bayes Factor = 861.091

contains 26 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`)