TreeWAS – [L86] Keratoderma in diseases classified elsewhere

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
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.717	0.283	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.717	0.283	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.717	0.283	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.717	0.283	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.717	0.283	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.717	0.283	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.717	0.283	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.717	0.283	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.717	0.283	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.717	0.283	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.717	0.283	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.717	0.283	0.000
Affx-37072023 lBF = `455.451` Chr`6` : `32,612,430`	0.000	0.283	0.717
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	0.717	0.283	0.000
rs3134996 lBF = `399.72` Chr`6` : `32,636,866`	0.000	0.283	0.717
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.717	0.283	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.717	0.283	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.717	0.283	0.000
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	0.717	0.283	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.717	0.283	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.717	0.283	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.717	0.283	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.717	0.283	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.717	0.283	0.000
rs12203592 lBF = `220.671` Chr`6` : `396,321`	0.717	0.283	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.717	0.283	0.000
rs17612576 lBF = `440.731` Chr`6` : `32,615,458`	0.000	0.283	0.717
rs17843606 lBF = `435.465` Chr`6` : `32,620,399`	0.000	0.283	0.717
rs9274552 lBF = `439.186` Chr`6` : `32,634,838`	0.000	0.283	0.717
rs9273339 lBF = `437.281` Chr`6` : `32,623,430`	0.000	0.283	0.717
Affx-28502500 lBF = `331.394` Chr`6` : `32,682,137`	0.717	0.283	0.000
rs1063355 lBF = `441.898` Chr`6` : `32,627,714`	0.000	0.283	0.717
rs9273215 lBF = `440.214` Chr`6` : `32,613,712`	0.000	0.283	0.717
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.717	0.283	0.000
rs9273088 lBF = `442.306` Chr`6` : `32,612,488`	0.000	0.283	0.717
rs17843619 lBF = `439.369` Chr`6` : `32,620,775`	0.000	0.283	0.717
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.717	0.283	0.000
rs3828790 lBF = `425.616` Chr`6` : `32,635,809`	0.000	0.283	0.717
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	0.717	0.283	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.717	0.283	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.717	0.283	0.000
rs9275326 lBF = `348.679` Chr`6` : `32,666,660`	0.717	0.283	0.000
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	0.717	0.283	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	0.717	0.283	0.000
rs2517645 lBF = `222.009` Chr`6` : `30,122,623`	0.717	0.283	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.717	0.283	0.000
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	0.717	0.283	0.000
rs9275599 lBF = `314.243` Chr`6` : `32,682,429`	0.716	0.283	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.716	0.283	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.716	0.283	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.716	0.283	0.000
rs3957146 lBF = `341.478` Chr`6` : `32,681,530`	0.716	0.283	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.716	0.283	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.716	0.284	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.716	0.284	0.000
rs9273401 lBF = `339.214` Chr`6` : `32,627,129`	0.716	0.284	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.716	0.284	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.716	0.284	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.716	0.284	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.716	0.284	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.716	0.284	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.716	0.284	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	0.284	0.716
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.716	0.284	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.716	0.284	0.000
rs424232 lBF = `110.822` Chr`6` : `32,208,324`	0.716	0.284	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.716	0.284	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.716	0.284	0.000
rs79802820 lBF = `18.8126` Chr`1` : `216,046,129`	0.716	0.284	0.000
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	0.716	0.284	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.716	0.284	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.716	0.284	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.716	0.284	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.716	0.284	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.716	0.284	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.716	0.284	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.716	0.284	0.000
rs6927022 lBF = `550.507` Chr`6` : `32,612,397`	0.716	0.284	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.716	0.284	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.716	0.284	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.716	0.284	0.000
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.716	0.284	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.716	0.284	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.716	0.284	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.716	0.284	0.000
rs707928 lBF = `282.972` Chr`6` : `31,742,590`	0.716	0.284	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.716	0.284	0.000
rs114097330 lBF = `13.9687` Chr`3` : `34,717,222`	0.716	0.284	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.716	0.284	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.716	0.284	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.716	0.284	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.716	0.284	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.716	0.284	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.716	0.284	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.716	0.284	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.716	0.284	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.716	0.284	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.715	0.284	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.715	0.284	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.715	0.284	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.715	0.284	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.715	0.284	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.715	0.284	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.715	0.285	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.715	0.285	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.715	0.285	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.715	0.285	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.715	0.285	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.715	0.285	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.715	0.285	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.715	0.285	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.715	0.285	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.715	0.285	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.715	0.285	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.715	0.285	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.715	0.285	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.715	0.285	0.000
rs17211510 lBF = `186.894` Chr`6` : `32,602,430`	0.000	0.285	0.715
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.715	0.285	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.715	0.285	0.000
rs9275334 lBF = `329.259` Chr`6` : `32,667,107`	0.715	0.285	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.715	0.285	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.715	0.285	0.000
rs114341818 lBF = `20.4453` Chr`6` : `30,844,081`	0.715	0.285	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.715	0.285	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.715	0.285	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.715	0.285	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.715	0.285	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.715	0.285	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.715	0.285	0.000
rs6933271 lBF = `20.7519` Chr`6` : `30,867,830`	0.715	0.285	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.715	0.285	0.000
rs28383249 lBF = `100.141` Chr`6` : `32,585,500`	0.000	0.285	0.715
rs2858870 lBF = `95.1726` Chr`6` : `32,572,251`	0.000	0.285	0.715
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.715	0.285	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.715	0.285	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.715	0.285	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.715	0.285	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.715	0.285	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.715	0.285	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.714	0.285	0.000
rs28383438 lBF = `87.6743` Chr`6` : `32,609,038`	0.000	0.285	0.714
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.714	0.286	0.000
rs35242582 lBF = `194.11` Chr`6` : `32,600,057`	0.000	0.286	0.714
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.714	0.286	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.714	0.286	0.000
rs6931277 lBF = `515.908` Chr`6` : `32,583,357`	0.714	0.286	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.714	0.286	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.714	0.286	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.714	0.286	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.714	0.286	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.714	0.286	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.714	0.286	0.000
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.714	0.286	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.714	0.286	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.714	0.286	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.714	0.286	0.000
rs116009799 lBF = `21.8061` Chr`6` : `30,806,893`	0.714	0.286	0.000
rs114133116 lBF = `20.4412` Chr`6` : `30,824,290`	0.714	0.286	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.714	0.286	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.714	0.286	0.000
rs116223167 lBF = `21.4191` Chr`6` : `30,815,678`	0.714	0.286	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.714	0.286	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.714	0.286	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.714	0.286	0.000
rs2857208 lBF = `23.1071` Chr`6` : `32,743,103`	0.000	0.286	0.714
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.714	0.286	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.713	0.286	0.000
rs2022083 lBF = `228.09` Chr`6` : `30,213,540`	0.713	0.286	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.713	0.287	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.713	0.287	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.713	0.287	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.713	0.287	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	0.713	0.287	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.713	0.287	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.713	0.287	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.713	0.287	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.713	0.287	0.000
rs114466565 lBF = `19.7848` Chr`6` : `30,898,751`	0.713	0.287	0.000
rs115335082 lBF = `19.1593` Chr`6` : `30,966,969`	0.713	0.287	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.713	0.287	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.713	0.287	0.000
rs114914856 lBF = `18.0454` Chr`6` : `30,973,243`	0.713	0.287	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.713	0.287	0.000
rs805294 lBF = `275.309` Chr`6` : `31,688,217`	0.713	0.287	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.713	0.287	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.713	0.287	0.000
rs115890601 lBF = `18.5648` Chr`6` : `30,980,494`	0.713	0.287	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.713	0.287	0.000
rs9275338 lBF = `287.168` Chr`6` : `32,667,343`	0.712	0.287	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.712	0.287	0.000
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.712	0.287	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.712	0.288	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.712	0.288	0.000
rs9271060 lBF = `261.575` Chr`6` : `32,575,513`	0.712	0.288	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.712	0.288	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.712	0.288	0.000
rs9271192 lBF = `261.325` Chr`6` : `32,578,530`	0.712	0.288	0.000
rs3129701 lBF = `233.098` Chr`6` : `30,232,672`	0.712	0.288	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.712	0.288	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.712	0.288	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.712	0.288	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.712	0.288	0.000
rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.712	0.288	0.000
rs2844773 lBF = `234.47` Chr`6` : `30,207,495`	0.712	0.288	0.000
rs9271100 lBF = `261.675` Chr`6` : `32,576,478`	0.712	0.288	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.712	0.288	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.712	0.288	0.000
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rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.701	0.299	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.701	0.299	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.700	0.299	0.000
rs3130781 lBF = `228.518` Chr`6` : `30,914,552`	0.700	0.299	0.000
rs3129975 lBF = `186.631` Chr`6` : `30,732,054`	0.700	0.299	0.000
rs2856705 lBF = `51.1465` Chr`6` : `32,670,956`	0.000	0.300	0.700
rs149943 lBF = `158.636` Chr`6` : `28,002,388`	0.700	0.300	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.700	0.300	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.700	0.300	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.700	0.300	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.700	0.300	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.700	0.300	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.700	0.300	0.000
rs9269861 lBF = `251.556` Chr`6` : `32,550,501`	0.000	0.300	0.700
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.699	0.300	0.000
rs9270908 lBF = `254.18` Chr`6` : `32,572,148`	0.000	0.300	0.699
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.699	0.300	0.000
rs9269819 lBF = `255.668` Chr`6` : `32,549,782`	0.000	0.301	0.699
rs9271117 lBF = `255.979` Chr`6` : `32,576,795`	0.000	0.301	0.699
rs9272559 lBF = `157.261` Chr`6` : `32,607,124`	0.699	0.301	0.000
rs2517598 lBF = `209.688` Chr`6` : `30,080,274`	0.699	0.301	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.699	0.301	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.699	0.301	0.000
rs3129973 lBF = `119.863` Chr`6` : `30,721,143`	0.699	0.301	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.699	0.301	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.699	0.301	0.000
rs28383346 lBF = `95.8386` Chr`6` : `32,605,326`	0.000	0.301	0.699
rs8321 lBF = `268.627` Chr`6` : `30,032,522`	0.699	0.301	0.000
rs41277200 lBF = `10.0757` Chr`1` : `216,051,125`	0.699	0.301	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.699	0.301	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.699	0.301	0.000
rs3094120 lBF = `185.573` Chr`6` : `30,731,556`	0.699	0.301	0.000
rs9258593 lBF = `108.321` Chr`6` : `29,819,599`	0.698	0.301	0.000
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.698	0.301	0.000
rs13192471 lBF = `84.1735` Chr`6` : `32,671,103`	0.000	0.302	0.698
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.698	0.302	0.000
rs2395163 lBF = `377.046` Chr`6` : `32,387,809`	0.698	0.302	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.698	0.302	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.698	0.302	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.698	0.302	0.000
rs428081 lBF = `99.8327` Chr`6` : `29,906,512`	0.698	0.302	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.698	0.302	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.698	0.302	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.697	0.302	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.697	0.303	0.000
rs77737545 lBF = `16.821` Chr`1` : `241,976,607`	0.697	0.303	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.697	0.303	0.000
rs3130662 lBF = `261.984` Chr`6` : `30,713,808`	0.697	0.303	0.000
rs1046089 lBF = `282.881` Chr`6` : `31,602,967`	0.697	0.303	0.000
rs1611635 lBF = `168.105` Chr`6` : `29,836,463`	0.697	0.303	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.697	0.303	0.000
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	0.697	0.303	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.696	0.303	0.000
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.696	0.304	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.696	0.304	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.696	0.304	0.000
rs2734970 lBF = `170.234` Chr`6` : `29,834,472`	0.696	0.304	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.696	0.304	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.696	0.304	0.000
rs3131038 lBF = `183.589` Chr`6` : `30,734,080`	0.696	0.304	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.696	0.304	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.696	0.304	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.695	0.304	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.695	0.305	0.000
rs9272219 lBF = `165.087` Chr`6` : `32,602,269`	0.695	0.305	0.000
rs3094112 lBF = `187.033` Chr`6` : `30,761,734`	0.695	0.305	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.695	0.305	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.695	0.305	0.000
rs175597 lBF = `165.738` Chr`6` : `27,810,626`	0.695	0.305	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.695	0.305	0.000
rs209181 lBF = `143.701` Chr`6` : `28,792,477`	0.695	0.305	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.695	0.305	0.000
rs61820511 lBF = `8.52267` Chr`1` : `191,420,181`	0.695	0.305	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.694	0.306	0.000
rs1633021 lBF = `104.806` Chr`6` : `29,746,869`	0.694	0.306	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.694	0.306	0.000
rs2734986 lBF = `167.606` Chr`6` : `29,818,568`	0.694	0.306	0.000
rs200483 lBF = `168.443` Chr`6` : `27,774,824`	0.694	0.306	0.000
rs2844793 lBF = `219.632` Chr`6` : `30,080,496`	0.694	0.306	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.694	0.306	0.000
rs9272630 lBF = `162.464` Chr`6` : `32,608,150`	0.694	0.306	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.694	0.306	0.000
rs2021722 lBF = `181.818` Chr`6` : `30,174,131`	0.694	0.306	0.000
rs2523721 lBF = `181.304` Chr`6` : `30,166,266`	0.694	0.306	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.694	0.306	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.694	0.306	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4990

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1420

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.0645

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7169

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7169

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7169

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7169

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7169

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7169

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.7169

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7169

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7169

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7169

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7169

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7169

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7169

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7169

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7169

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7169

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7169

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7169

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7169

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7169

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7169

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7168

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7168

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7168

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7168

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.7168

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7168

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7168

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7168

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7167

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7167

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7167

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7166

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7166

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7164

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7164

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7163

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7163

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7160

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7159

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7153

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7151

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7149

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7147

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7146

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7145

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7145

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7145

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7144

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7141

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7140

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7135

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7134

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7127

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7126

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7121

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7112

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7112

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7107

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7100

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7100

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7097

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7079

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7070

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7037

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7034

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7031

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7025

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7001

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6978

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6940

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6940

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6936

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6911

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6900

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6898

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6889

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6786

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6772

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6764

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6761

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6759

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6717

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6685

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6682

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6629

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6562

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6530

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6468

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6408

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6353

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6217

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6161

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6045

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6035

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5943

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5864

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5739

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5690

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5648

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5597

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5496

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5328

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5269

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5252

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5231

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4530

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4529

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4429

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4294

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4289

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4271

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4235

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3890

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3466

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3081

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3047

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2964

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2798

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2698

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2696

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2629

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2605

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2537

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2517

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2514

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2484

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2424

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2384

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2281

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1912

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1827

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1678

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1660

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1455

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1349

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1326

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1195

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1116

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1097

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1016

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0952

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0930

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0908

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0709

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0684

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0676

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0647

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.0643

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0608

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0536

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`)