TreeWAS – [E11.9] Without complications

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	Protective posterior probability
rs6927022 lBF = `550.507` Chr`6` : `32,612,397`	1.000	0.000
rs532965 lBF = `522.853` Chr`6` : `32,577,973`	1.000	0.000
rs34250758 lBF = `518.249` Chr`6` : `32,607,376`	1.000	0.000
rs6931277 lBF = `515.908` Chr`6` : `32,583,357`	1.000	0.000
rs3104413 lBF = `510.724` Chr`6` : `32,582,650`	1.000	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	1.000	0.000
rs521539 lBF = `478.456` Chr`6` : `32,581,973`	1.000	0.000
rs660895 lBF = `476.437` Chr`6` : `32,577,380`	1.000	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	1.000	0.000
Affx-37072023 lBF = `455.451` Chr`6` : `32,612,430`	0.000	1.000
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	1.000	0.000
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	1.000	0.000
rs9273088 lBF = `442.306` Chr`6` : `32,612,488`	0.000	1.000
rs1063355 lBF = `441.898` Chr`6` : `32,627,714`	0.000	1.000
rs17612576 lBF = `440.731` Chr`6` : `32,615,458`	0.000	1.000
rs9273215 lBF = `440.214` Chr`6` : `32,613,712`	0.000	1.000
rs17843619 lBF = `439.369` Chr`6` : `32,620,775`	0.000	1.000
rs9274552 lBF = `439.186` Chr`6` : `32,634,838`	0.000	1.000
rs9273339 lBF = `437.281` Chr`6` : `32,623,430`	0.000	1.000
rs17843606 lBF = `435.465` Chr`6` : `32,620,399`	0.000	1.000
rs3828790 lBF = `425.616` Chr`6` : `32,635,809`	0.000	1.000
Affx-28496566 lBF = `410.258` Chr`6` : `32,625,869`	0.000	1.000
rs3134996 lBF = `399.72` Chr`6` : `32,636,866`	0.000	1.000
rs9273349 lBF = `389.4` Chr`6` : `32,625,869`	1.000	0.000
rs9268614 lBF = `379.521` Chr`6` : `32,402,778`	1.000	0.000
rs2395163 lBF = `377.046` Chr`6` : `32,387,809`	1.000	0.000
rs2855812 lBF = `350.197` Chr`6` : `31,472,720`	1.000	0.000
rs9275326 lBF = `348.679` Chr`6` : `32,666,660`	1.000	0.000
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	1.000	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	1.000	0.000
rs3129720 lBF = `342.091` Chr`6` : `32,663,631`	1.000	0.000
rs3957146 lBF = `341.478` Chr`6` : `32,681,530`	1.000	0.000
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	1.000	0.000
rs9273401 lBF = `339.214` Chr`6` : `32,627,129`	1.000	0.000
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	1.000	0.000
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	1.000	0.000
Affx-28502500 lBF = `331.394` Chr`6` : `32,682,137`	1.000	0.000
rs9275334 lBF = `329.259` Chr`6` : `32,667,107`	1.000	0.000
rs3135006 lBF = `327.325` Chr`6` : `32,667,119`	0.000	1.000
rs6916742 lBF = `323.838` Chr`6` : `32,453,191`	1.000	0.000
rs9275599 lBF = `314.243` Chr`6` : `32,682,429`	1.000	0.000
rs9268839 lBF = `309.386` Chr`6` : `32,428,772`	1.000	0.000
rs12194148 lBF = `308.912` Chr`6` : `32,444,198`	1.000	0.000
rs9378212 lBF = `308.89` Chr`6` : `32,445,691`	1.000	0.000
rs5020946 lBF = `305.522` Chr`6` : `32,450,089`	1.000	0.000
Affx-28475675 lBF = `305.306` Chr`6` : `32,429,594`	0.000	1.000
rs9268877 lBF = `301.004` Chr`6` : `32,431,147`	0.000	1.000
rs5026743 lBF = `300.008` Chr`6` : `32,439,964`	0.000	1.000
rs9275319 lBF = `298.483` Chr`6` : `32,666,295`	1.000	0.000
rs9273489 lBF = `297.232` Chr`6` : `32,628,189`	1.000	0.000
rs9275312 lBF = `293.704` Chr`6` : `32,665,728`	1.000	0.000
rs9271414 lBF = `291.31` Chr`6` : `32,587,782`	0.000	1.000
rs29001568 lBF = `291.101` Chr`6` : `32,447,341`	1.000	0.000
rs9275338 lBF = `287.168` Chr`6` : `32,667,343`	1.000	0.000
rs9268835 lBF = `269.889` Chr`6` : `32,428,115`	1.000	0.000
rs9268833 lBF = `269.572` Chr`6` : `32,428,062`	1.000	0.000
rs7453498 lBF = `257.298` Chr`6` : `32,446,717`	1.000	0.000
rs28724008 lBF = `253.172` Chr`6` : `32,550,550`	1.000	0.000
Affx-28486470 lBF = `253.054` Chr`6` : `32,546,879`	1.000	0.000
rs3208409 lBF = `252.426` Chr`6` : `32,546,696`	1.000	0.000
rs28366302 lBF = `252.399` Chr`6` : `32,560,934`	1.000	0.000
rs6903608 lBF = `251.273` Chr`6` : `32,428,285`	0.000	1.000
rs6923504 lBF = `250.735` Chr`6` : `32,428,186`	0.000	1.000
rs9269081 lBF = `250.357` Chr`6` : `32,441,100`	0.000	1.000
rs9268969 lBF = `249.147` Chr`6` : `32,434,349`	1.000	0.000
rs111834747 lBF = `248.946` Chr`6` : `32,492,866`	1.000	0.000
rs9268853 lBF = `248.885` Chr`6` : `32,429,643`	1.000	0.000
rs9268923 lBF = `248.283` Chr`6` : `32,432,835`	1.000	0.000
rs9268905 lBF = `248.25` Chr`6` : `32,432,077`	1.000	0.000
rs34839759 lBF = `247.024` Chr`6` : `32,546,557`	1.000	0.000
rs3819720 lBF = `246.694` Chr`6` : `32,804,570`	1.000	0.000
rs2395185 lBF = `246.003` Chr`6` : `32,433,167`	1.000	0.000
rs28724252 lBF = `242.458` Chr`6` : `32,629,549`	1.000	0.000
rs2516412 lBF = `240.991` Chr`6` : `31,462,321`	1.000	0.000
Affx-28498032 lBF = `239.951` Chr`6` : `32,631,570`	1.000	0.000
rs2534673 lBF = `239.531` Chr`6` : `31,465,490`	1.000	0.000
rs9273502 lBF = `239.503` Chr`6` : `32,628,389`	1.000	0.000
rs2246618 lBF = `235.038` Chr`6` : `31,478,986`	1.000	0.000
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	1.000	0.000
rs1130399 lBF = `228.586` Chr`6` : `32,629,755`	1.000	0.000
rs9273076 lBF = `225.981` Chr`6` : `32,612,301`	1.000	0.000
rs477515 lBF = `222.226` Chr`6` : `32,569,691`	1.000	0.000
rs915894 lBF = `219.818` Chr`6` : `32,190,390`	1.000	0.000
rs12195582 lBF = `218.62` Chr`6` : `32,444,544`	1.000	0.000
rs3916765 lBF = `217.868` Chr`6` : `32,685,550`	1.000	0.000
rs3129923 lBF = `214.888` Chr`6` : `32,333,195`	0.000	1.000
rs9275614 lBF = `213.979` Chr`6` : `32,684,257`	1.000	0.000
rs1265762 lBF = `210.925` Chr`6` : `32,321,115`	0.000	1.000
rs2050188 lBF = `209.683` Chr`6` : `32,339,897`	0.000	1.000
rs3129889 lBF = `208.68` Chr`6` : `32,413,545`	0.000	1.000
rs3135391 lBF = `205.982` Chr`6` : `32,410,987`	0.000	1.000
rs3129908 lBF = `198.273` Chr`6` : `32,325,707`	0.000	1.000
rs2395150 lBF = `194.768` Chr`6` : `32,326,045`	0.000	1.000
rs9267955 lBF = `194.743` Chr`6` : `32,213,150`	0.000	1.000
rs1265758 lBF = `194.604` Chr`6` : `32,323,529`	0.000	1.000
rs9267992 lBF = `193.444` Chr`6` : `32,220,397`	0.000	1.000
rs6916779 lBF = `192.086` Chr`6` : `32,684,317`	1.000	0.000
rs28366353 lBF = `175.657` Chr`6` : `32,565,004`	1.000	0.000
rs34872471 lBF = `171.606` Chr`10` : `114,754,071`	1.000	0.000
rs3134797 lBF = `169.683` Chr`6` : `32,186,050`	1.000	0.000
rs394657 lBF = `168.457` Chr`6` : `32,187,023`	1.000	0.000
rs7903146 lBF = `168.307` Chr`10` : `114,758,349`	1.000	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	1.000	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	1.000	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	1.000	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	1.000	0.000
rs429853 lBF = `153.055` Chr`6` : `32,187,202`	1.000	0.000
rs130066 lBF = `150.851` Chr`6` : `31,122,315`	1.000	0.000
rs6905862 lBF = `147.437` Chr`6` : `31,127,602`	1.000	0.000
rs885950 lBF = `147.281` Chr`6` : `31,140,152`	1.000	0.000
rs4506565 lBF = `145.603` Chr`10` : `114,756,041`	1.000	0.000
rs7901695 lBF = `144.952` Chr`10` : `114,754,088`	1.000	0.000
rs12243326 lBF = `126.039` Chr`10` : `114,788,815`	1.000	0.000
rs12255372 lBF = `121.334` Chr`10` : `114,808,902`	1.000	0.000
rs805262 lBF = `120.532` Chr`6` : `31,628,733`	1.000	0.000
rs1109771 lBF = `113.955` Chr`6` : `32,187,605`	0.000	1.000
rs3806155 lBF = `108.695` Chr`6` : `32,373,378`	1.000	0.000
rs2857709 lBF = `104.056` Chr`6` : `31,532,814`	0.000	1.000
rs3131012 lBF = `93.7678` Chr`6` : `31,115,441`	0.000	1.000
rs9275134 lBF = `93.4581` Chr`6` : `32,650,612`	1.000	0.000
rs2240064 lBF = `93.3046` Chr`6` : `31,114,573`	0.000	1.000
rs2523663 lBF = `91.8832` Chr`6` : `31,439,740`	0.000	1.000
rs34075049 lBF = `85.0932` Chr`6` : `32,554,935`	1.000	0.000
rs115018313 lBF = `79.0344` Chr`6` : `32,710,407`	1.000	0.000
rs1077394 lBF = `76.4756` Chr`6` : `31,610,384`	0.000	1.000
rs3134769 lBF = `74.3167` Chr`6` : `31,205,754`	0.000	1.000
rs2844480 lBF = `73.2041` Chr`6` : `31,564,821`	1.000	0.000
rs2516049 lBF = `62.3121` Chr`6` : `32,570,400`	1.000	0.000
rs879882 lBF = `53.6059` Chr`6` : `31,139,452`	0.000	1.000
rs10787472 lBF = `53.278` Chr`10` : `114,781,297`	1.000	0.000
rs7904519 lBF = `53.1852` Chr`10` : `114,773,927`	1.000	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	1.000	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	1.000	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	1.000	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	1.000	0.000
rs8050136 lBF = `48.0125` Chr`16` : `53,816,275`	1.000	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	1.000	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	1.000	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	1.000	0.000
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	1.000	0.000
rs11075990 lBF = `46.9399` Chr`16` : `53,819,893`	1.000	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	1.000	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	1.000	0.000
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	1.000	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	1.000	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	1.000	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	1.000	0.000
rs8043757 lBF = `46.2997` Chr`16` : `53,813,450`	1.000	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	1.000	0.000
rs11196175 lBF = `42.6653` Chr`10` : `114,736,614`	1.000	0.000
rs9930506 lBF = `40.5758` Chr`16` : `53,830,465`	1.000	0.000
rs9922619 lBF = `40.3298` Chr`16` : `53,831,771`	1.000	0.000
rs115470510 lBF = `39.0562` Chr`6` : `31,618,511`	1.000	0.000
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	1.000	0.000
rs11196174 lBF = `38.4124` Chr`10` : `114,734,096`	1.000	0.000
rs1260326 lBF = `30.7009` Chr`2` : `27,730,940`	0.000	1.000
rs4665972 lBF = `29.5935` Chr`2` : `27,598,097`	1.000	0.000
rs2383208 lBF = `28.0247` Chr`9` : `22,132,076`	0.000	1.000
rs10811661 lBF = `27.8432` Chr`9` : `22,134,094`	0.000	1.000
rs10965250 lBF = `27.0523` Chr`9` : `22,133,284`	0.000	1.000
rs780094 lBF = `25.3423` Chr`2` : `27,741,237`	0.000	1.000
rs780093 lBF = `24.5508` Chr`2` : `27,742,603`	0.000	1.000
rs1801214 lBF = `22.9304` Chr`4` : `6,303,022`	1.000	0.000
rs7651090 lBF = `22.8793` Chr`3` : `185,513,392`	1.000	0.000
rs6769511 lBF = `22.7414` Chr`3` : `185,530,290`	1.000	0.000
rs35612982 lBF = `22.6464` Chr`6` : `20,682,622`	1.000	0.000
rs1470579 lBF = `22.6448` Chr`3` : `185,529,080`	1.000	0.000
rs11927381 lBF = `22.5657` Chr`3` : `185,508,591`	1.000	0.000
rs2206734 lBF = `22.3024` Chr`6` : `20,694,884`	1.000	0.000
rs4458523 lBF = `22.127` Chr`4` : `6,289,986`	1.000	0.000
rs10010131 lBF = `22.0872` Chr`4` : `6,292,915`	0.000	1.000
rs4402960 lBF = `22.0484` Chr`3` : `185,511,687`	1.000	0.000
rs9465871 lBF = `21.9363` Chr`6` : `20,717,255`	1.000	0.000
rs2713536 lBF = `21.0111` Chr`2` : `227,163,642`	1.000	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	1.000
rs7081062 lBF = `20.8817` Chr`10` : `114,740,745`	0.000	1.000
rs1515110 lBF = `20.8802` Chr`2` : `227,122,216`	1.000	0.000
rs4689388 lBF = `19.6256` Chr`4` : `6,270,056`	0.000	1.000
rs2943659 lBF = `19.2683` Chr`2` : `227,125,254`	0.000	1.000
rs66513933 lBF = `18.623` Chr`3` : `185,523,370`	1.000	0.000
rs2176040 lBF = `18.5927` Chr`2` : `227,092,802`	1.000	0.000
rs925735 lBF = `18.5041` Chr`2` : `227,179,630`	0.000	1.000
rs734312 lBF = `18.1797` Chr`4` : `6,303,354`	0.000	1.000
rs2972146 lBF = `18.0865` Chr`2` : `227,100,698`	0.000	1.000
rs2943641 lBF = `18.0526` Chr`2` : `227,093,745`	0.000	1.000
rs7020996 lBF = `17.892` Chr`9` : `22,129,579`	0.000	1.000
rs1801212 lBF = `16.787` Chr`4` : `6,302,519`	0.000	1.000
rs2943645 lBF = `16.605` Chr`2` : `227,099,180`	0.000	1.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	1.000	0.000
rs4918788 lBF = `16.3179` Chr`10` : `114,820,961`	1.000	0.000
rs7766070 lBF = `16.3151` Chr`6` : `20,686,573`	1.000	0.000
rs2972143 lBF = `16.1262` Chr`2` : `227,116,365`	0.000	1.000
rs9368222 lBF = `15.9391` Chr`6` : `20,686,996`	1.000	0.000
rs2943640 lBF = `15.9012` Chr`2` : `227,093,585`	0.000	1.000
rs1046320 lBF = `15.8834` Chr`4` : `6,304,344`	0.000	1.000
rs7756992 lBF = `15.8636` Chr`6` : `20,679,709`	1.000	0.000
rs1333051 lBF = `15.4246` Chr`9` : `22,136,489`	0.000	1.000
rs2943652 lBF = `15.3824` Chr`2` : `227,108,446`	1.000	0.000
rs2943650 lBF = `15.322` Chr`2` : `227,105,921`	1.000	0.000
rs9997824 lBF = `15.2881` Chr`4` : `6,283,253`	0.000	1.000
rs5015480 lBF = `15.2692` Chr`10` : `94,465,559`	0.000	1.000
rs75933965 lBF = `15.1264` Chr`10` : `114,749,421`	1.000	0.000
rs1111875 lBF = `15.0851` Chr`10` : `94,462,882`	0.000	1.000
rs3802177 lBF = `15.0712` Chr`8` : `118,185,025`	0.000	1.000
rs6931514 lBF = `15.0571` Chr`6` : `20,703,952`	1.000	0.000
rs13266634 lBF = `14.9919` Chr`8` : `118,184,783`	0.000	1.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	1.000
rs10440833 lBF = `14.9061` Chr`6` : `20,688,121`	1.000	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.000	1.000
rs2237895 lBF = `14.557` Chr`11` : `2,857,194`	1.000	0.000
rs12778642 lBF = `14.5262` Chr`10` : `94,464,307`	0.000	1.000
rs7923837 lBF = `13.9558` Chr`10` : `94,481,917`	0.000	1.000
rs7747752 lBF = `13.7895` Chr`6` : `20,725,423`	1.000	0.000
rs7087591 lBF = `13.617` Chr`10` : `94,473,629`	0.000	1.000
rs11558471 lBF = `12.8635` Chr`8` : `118,185,733`	0.000	1.000
rs9356744 lBF = `12.6244` Chr`6` : `20,685,486`	1.000	0.000
rs849135 lBF = `12.0155` Chr`7` : `28,196,413`	0.000	1.000
rs35658696 lBF = `12.0059` Chr`5` : `102,338,811`	1.000	0.000
rs163184 lBF = `11.9611` Chr`11` : `2,847,069`	1.000	0.000
rs10804976 lBF = `11.7971` Chr`4` : `6,315,954`	0.000	1.000
rs7018475 lBF = `11.7667` Chr`9` : `22,137,685`	1.000	0.000
rs849134 lBF = `11.707` Chr`7` : `28,196,222`	1.000	0.000
rs73061075 lBF = `11.6123` Chr`3` : `185,506,401`	1.000	0.000
rs703970 lBF = `11.1182` Chr`10` : `80,953,136`	0.000	1.000
rs1635852 lBF = `10.8815` Chr`7` : `28,189,411`	1.000	0.000
rs849142 lBF = `10.781` Chr`7` : `28,185,891`	0.000	1.000
rs36046591 lBF = `10.7656` Chr`5` : `102,537,285`	1.000	0.000
rs163182 lBF = `10.6295` Chr`11` : `2,844,216`	1.000	0.000
rs864745 lBF = `10.5901` Chr`7` : `28,180,556`	1.000	0.000
rs74566838 lBF = `10.5792` Chr`5` : `102,034,612`	1.000	0.000
rs703965 lBF = `10.3829` Chr`10` : `80,955,067`	1.000	0.000
rs7729395 lBF = `10.3314` Chr`5` : `102,100,576`	1.000	0.000
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rs3117119 lBF = `184.849` Chr`6` : `32,318,610`	0.000	1.000
rs3129900 lBF = `182.771` Chr`6` : `32,305,979`	0.000	1.000
rs3095245 lBF = `173.422` Chr`6` : `31,213,902`	1.000	0.000
rs3134603 lBF = `147.34` Chr`6` : `32,126,002`	0.000	1.000
rs3130287 lBF = `140.271` Chr`6` : `32,050,544`	0.000	1.000
rs3134605 lBF = `121.175` Chr`6` : `32,159,956`	1.000	0.000
rs206017 lBF = `112.148` Chr`6` : `32,176,211`	0.000	1.000
rs2523511 lBF = `65.5164` Chr`6` : `31,506,854`	0.000	1.000
rs3093978 lBF = `65.45` Chr`6` : `31,498,497`	0.000	1.000
rs115526889 lBF = `33.5289` Chr`6` : `31,737,818`	1.000	0.000
rs231362 lBF = `4.08051` Chr`11` : `2,691,471`	1.000	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	1.000	0.000
rs9269797 lBF = `215.504` Chr`6` : `32,549,284`	0.000	1.000
rs9269911 lBF = `213.873` Chr`6` : `32,551,382`	0.000	1.000
rs6904320 lBF = `212.719` Chr`6` : `32,312,082`	0.000	1.000
rs3129768 lBF = `203.859` Chr`6` : `32,595,083`	0.000	1.000
rs3129934 lBF = `192.051` Chr`6` : `32,336,187`	1.000	0.000
rs28570051 lBF = `173.657` Chr`6` : `31,210,601`	1.000	0.000
rs3117181 lBF = `157.029` Chr`6` : `32,071,017`	1.000	0.000
rs3130342 lBF = `152.971` Chr`6` : `32,080,146`	0.000	1.000
rs2071287 lBF = `143.245` Chr`6` : `32,170,433`	1.000	0.000
rs2857609 lBF = `110.666` Chr`6` : `31,577,825`	0.000	1.000
rs3131628 lBF = `66.4042` Chr`6` : `31,502,767`	0.000	1.000
rs115469976 lBF = `49.3561` Chr`6` : `32,986,508`	1.000	0.000
rs2516478 lBF = `31.7187` Chr`6` : `31,498,737`	1.000	0.000
rs2650000 lBF = `12.7264` Chr`12` : `121,388,962`	1.000	0.000
rs2943636 lBF = `7.5009` Chr`2` : `227,087,284`	1.000	0.000
rs10830956 lBF = `3.97212` Chr`11` : `92,681,013`	1.000	0.000
rs7936247 lBF = `3.97175` Chr`11` : `92,690,032`	1.000	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	1.000	0.000
rs7748270 lBF = `304.134` Chr`6` : `32,448,599`	1.000	0.000
rs58495148 lBF = `216.755` Chr`6` : `32,520,816`	0.000	1.000
rs36192217 lBF = `213.352` Chr`6` : `32,522,339`	0.000	1.000
Affx-52341719 lBF = `201.372` Chr`6` : `32,552,146`	0.000	1.000
rs3117182 lBF = `136.187` Chr`6` : `32,066,819`	0.000	1.000
rs3134939 lBF = `130.912` Chr`6` : `32,169,621`	1.000	0.000
rs3130050 lBF = `110.889` Chr`6` : `31,618,761`	0.000	1.000
rs2239704 lBF = `90.572` Chr`6` : `31,540,141`	0.000	1.000

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 X0175

log Bayes Factor = 45.9153

contains 4 variants

1.0000

Cluster X0196

log Bayes Factor = 301.726

contains 18 variants

1.0000

Cluster X0187

log Bayes Factor = 30.7009

contains 1 variants

1.0000

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.9111

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.8049

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1201

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

1.0000

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

1.0000

Cluster X0179

log Bayes Factor = 426.274

contains 17 variants

1.0000

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

1.0000

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

1.0000

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

1.0000

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

1.0000

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

1.0000

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.9999

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9999

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9998

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9997

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9996

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9978

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9976

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9964

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9951

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9950

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9927

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.9916

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9913

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.9894

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9803

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9691

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9204

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7574

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.6161

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6119

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5918

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5391

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5266

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5087

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5034

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4571

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2862

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.2010

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1926

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1801

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.1700

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1449

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1049

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0855

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0629

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`)