TreeWAS – [L99.8] Other specified disorders of skin and subcutaneous tissue 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
rs9257794 lBF = `85.5688` Chr`6` : `29,335,661`	0.617	0.383	0.000
rs3094117 lBF = `175.363` Chr`6` : `30,737,486`	0.571	0.429	0.000
rs3131036 lBF = `180.885` Chr`6` : `30,728,290`	0.564	0.436	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	0.456	0.544
rs3094116 lBF = `185.203` Chr`6` : `30,738,408`	0.541	0.459	0.000
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	0.539	0.460	0.000
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	0.539	0.461	0.000
rs6911628 lBF = `183.308` Chr`6` : `30,739,846`	0.529	0.471	0.000
rs6927022 lBF = `550.507` Chr`6` : `32,612,397`	0.526	0.474	0.000
rs805294 lBF = `275.309` Chr`6` : `31,688,217`	0.521	0.479	0.000
rs805304 lBF = `274.178` Chr`6` : `31,698,088`	0.520	0.479	0.000
rs707916 lBF = `270.513` Chr`6` : `31,697,558`	0.519	0.481	0.000
rs7745040 lBF = `331.674` Chr`6` : `32,664,332`	0.517	0.483	0.000
rs805305 lBF = `268.824` Chr`6` : `31,697,387`	0.516	0.483	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.514	0.486	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.514	0.486	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.514	0.486	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.514	0.486	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.514	0.486	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.514	0.486	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.514	0.486	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.514	0.486	0.000
Affx-37072023 lBF = `455.451` Chr`6` : `32,612,430`	0.000	0.486	0.514
rs3134996 lBF = `399.72` Chr`6` : `32,636,866`	0.000	0.486	0.514
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.514	0.486	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.514	0.486	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.514	0.486	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.514	0.486	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.514	0.486	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.514	0.486	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.514	0.486	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.514	0.486	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.514	0.486	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.514	0.486	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.514	0.486	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.514	0.486	0.000
rs12203592 lBF = `220.671` Chr`6` : `396,321`	0.514	0.486	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.514	0.486	0.000
rs17843606 lBF = `435.465` Chr`6` : `32,620,399`	0.000	0.486	0.514
rs17612576 lBF = `440.731` Chr`6` : `32,615,458`	0.000	0.486	0.514
rs9274552 lBF = `439.186` Chr`6` : `32,634,838`	0.000	0.486	0.514
rs9273339 lBF = `437.281` Chr`6` : `32,623,430`	0.000	0.486	0.514
rs1063355 lBF = `441.898` Chr`6` : `32,627,714`	0.000	0.486	0.514
rs9273215 lBF = `440.214` Chr`6` : `32,613,712`	0.000	0.486	0.514
Affx-28502500 lBF = `331.394` Chr`6` : `32,682,137`	0.514	0.486	0.000
rs17843619 lBF = `439.369` Chr`6` : `32,620,775`	0.000	0.486	0.514
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.514	0.486	0.000
rs9273088 lBF = `442.306` Chr`6` : `32,612,488`	0.000	0.486	0.514
rs3828790 lBF = `425.616` Chr`6` : `32,635,809`	0.000	0.486	0.514
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.514	0.486	0.000
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	0.514	0.486	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.514	0.486	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.514	0.486	0.000
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	0.514	0.486	0.000
rs9275326 lBF = `348.679` Chr`6` : `32,666,660`	0.514	0.486	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	0.514	0.486	0.000
rs2517645 lBF = `222.009` Chr`6` : `30,122,623`	0.514	0.486	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.514	0.486	0.000
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	0.514	0.486	0.000
rs9275599 lBF = `314.243` Chr`6` : `32,682,429`	0.514	0.486	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.514	0.486	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.514	0.486	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.514	0.486	0.000
rs3094114 lBF = `183.094` Chr`6` : `30,738,921`	0.514	0.486	0.000
rs3957146 lBF = `341.478` Chr`6` : `32,681,530`	0.514	0.486	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.514	0.486	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.514	0.486	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.514	0.486	0.000
rs9273401 lBF = `339.214` Chr`6` : `32,627,129`	0.514	0.486	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.514	0.486	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.514	0.486	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.514	0.486	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.514	0.486	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.514	0.486	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.514	0.486	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.513	0.486	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.513	0.486	0.000
rs424232 lBF = `110.822` Chr`6` : `32,208,324`	0.513	0.486	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.513	0.486	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.513	0.486	0.000
rs79802820 lBF = `18.8126` Chr`1` : `216,046,129`	0.513	0.486	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.513	0.486	0.000
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	0.513	0.486	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.513	0.486	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.513	0.486	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.513	0.486	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.513	0.486	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.513	0.486	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.513	0.486	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.513	0.486	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.513	0.486	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.513	0.486	0.000
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.513	0.487	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.513	0.487	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.513	0.487	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.513	0.487	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.513	0.487	0.000
rs707928 lBF = `282.972` Chr`6` : `31,742,590`	0.513	0.487	0.000
rs114097330 lBF = `13.9687` Chr`3` : `34,717,222`	0.513	0.487	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.513	0.487	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.513	0.487	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.513	0.487	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.513	0.487	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.513	0.487	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.513	0.487	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.513	0.487	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.513	0.487	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.513	0.487	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.513	0.487	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.513	0.487	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.513	0.487	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.513	0.487	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.513	0.487	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.513	0.487	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.513	0.487	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.513	0.487	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.513	0.487	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.513	0.487	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.513	0.487	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.513	0.487	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.513	0.487	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.513	0.487	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.513	0.487	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.513	0.487	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.513	0.487	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.513	0.487	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.513	0.487	0.000
rs17211510 lBF = `186.894` Chr`6` : `32,602,430`	0.000	0.487	0.513
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.513	0.487	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.513	0.487	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.513	0.487	0.000
rs9275334 lBF = `329.259` Chr`6` : `32,667,107`	0.513	0.487	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.513	0.487	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.513	0.487	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.513	0.487	0.000
rs114341818 lBF = `20.4453` Chr`6` : `30,844,081`	0.513	0.487	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.513	0.487	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.513	0.487	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.513	0.487	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.513	0.487	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.512	0.487	0.000
rs6933271 lBF = `20.7519` Chr`6` : `30,867,830`	0.512	0.487	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.512	0.487	0.000
rs28383249 lBF = `100.141` Chr`6` : `32,585,500`	0.000	0.487	0.512
rs2858870 lBF = `95.1726` Chr`6` : `32,572,251`	0.000	0.487	0.512
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.512	0.487	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.512	0.487	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.512	0.487	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.512	0.487	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.512	0.487	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.512	0.487	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.512	0.487	0.000
rs28383438 lBF = `87.6743` Chr`6` : `32,609,038`	0.000	0.488	0.512
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.512	0.488	0.000
rs35242582 lBF = `194.11` Chr`6` : `32,600,057`	0.000	0.488	0.512
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.512	0.488	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.512	0.488	0.000
rs6931277 lBF = `515.908` Chr`6` : `32,583,357`	0.512	0.488	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.512	0.488	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.512	0.488	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.512	0.488	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.512	0.488	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.512	0.488	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.512	0.488	0.000
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.512	0.488	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.512	0.488	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.512	0.488	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.512	0.488	0.000
rs116009799 lBF = `21.8061` Chr`6` : `30,806,893`	0.512	0.488	0.000
rs114133116 lBF = `20.4412` Chr`6` : `30,824,290`	0.512	0.488	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.512	0.488	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.512	0.488	0.000
rs116223167 lBF = `21.4191` Chr`6` : `30,815,678`	0.512	0.488	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.512	0.488	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.512	0.488	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.512	0.488	0.000
rs2857208 lBF = `23.1071` Chr`6` : `32,743,103`	0.000	0.488	0.512
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.512	0.488	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.512	0.488	0.000
rs2022083 lBF = `228.09` Chr`6` : `30,213,540`	0.511	0.488	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.511	0.488	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.511	0.488	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.511	0.488	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.511	0.489	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	0.511	0.489	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.511	0.489	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.511	0.489	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.511	0.489	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.511	0.489	0.000
rs114466565 lBF = `19.7848` Chr`6` : `30,898,751`	0.511	0.489	0.000
rs115335082 lBF = `19.1593` Chr`6` : `30,966,969`	0.511	0.489	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.511	0.489	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.511	0.489	0.000
rs114914856 lBF = `18.0454` Chr`6` : `30,973,243`	0.511	0.489	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.511	0.489	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.511	0.489	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.511	0.489	0.000
rs115890601 lBF = `18.5648` Chr`6` : `30,980,494`	0.511	0.489	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.511	0.489	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.511	0.489	0.000
rs9275338 lBF = `287.168` Chr`6` : `32,667,343`	0.511	0.489	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.511	0.489	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.511	0.489	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.511	0.489	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.511	0.489	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.510	0.489	0.000
rs3129701 lBF = `233.098` Chr`6` : `30,232,672`	0.510	0.489	0.000
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rs149943 lBF = `158.636` Chr`6` : `28,002,388`	0.502	0.498	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.502	0.498	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.502	0.498	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.502	0.498	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.502	0.498	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.502	0.498	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.502	0.498	0.000
rs9269861 lBF = `251.556` Chr`6` : `32,550,501`	0.000	0.498	0.502
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.501	0.498	0.000
rs9270908 lBF = `254.18` Chr`6` : `32,572,148`	0.000	0.498	0.501
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.501	0.498	0.000
rs9269819 lBF = `255.668` Chr`6` : `32,549,782`	0.000	0.498	0.501
rs9271117 lBF = `255.979` Chr`6` : `32,576,795`	0.000	0.498	0.501
rs9272559 lBF = `157.261` Chr`6` : `32,607,124`	0.501	0.498	0.000
rs2517598 lBF = `209.688` Chr`6` : `30,080,274`	0.501	0.498	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.501	0.498	0.000
rs3129973 lBF = `119.863` Chr`6` : `30,721,143`	0.501	0.498	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.501	0.498	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.501	0.498	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.501	0.499	0.000
rs9271060 lBF = `261.575` Chr`6` : `32,575,513`	0.501	0.499	0.000
rs28383346 lBF = `95.8386` Chr`6` : `32,605,326`	0.000	0.499	0.501
rs8321 lBF = `268.627` Chr`6` : `30,032,522`	0.501	0.499	0.000
rs41277200 lBF = `10.0757` Chr`1` : `216,051,125`	0.501	0.499	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.501	0.499	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.501	0.499	0.000
rs3094120 lBF = `185.573` Chr`6` : `30,731,556`	0.501	0.499	0.000
rs9271192 lBF = `261.325` Chr`6` : `32,578,530`	0.501	0.499	0.000
rs9258593 lBF = `108.321` Chr`6` : `29,819,599`	0.501	0.499	0.000
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.501	0.499	0.000
rs9271100 lBF = `261.675` Chr`6` : `32,576,478`	0.501	0.499	0.000
rs13192471 lBF = `84.1735` Chr`6` : `32,671,103`	0.000	0.499	0.501
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.501	0.499	0.000
rs2395163 lBF = `377.046` Chr`6` : `32,387,809`	0.500	0.499	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.500	0.499	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.500	0.499	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.500	0.499	0.000
rs428081 lBF = `99.8327` Chr`6` : `29,906,512`	0.500	0.500	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.500	0.500	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.500	0.500	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.500	0.500	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.500	0.500	0.000
rs77737545 lBF = `16.821` Chr`1` : `241,976,607`	0.500	0.500	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.500	0.500	0.000
rs3130662 lBF = `261.984` Chr`6` : `30,713,808`	0.500	0.500	0.000
rs1611635 lBF = `168.105` Chr`6` : `29,836,463`	0.500	0.500	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.499	0.500	0.000
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	0.499	0.500	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.499	0.500	0.000
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.499	0.500	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.499	0.501	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.499	0.501	0.000
rs2734970 lBF = `170.234` Chr`6` : `29,834,472`	0.499	0.501	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.499	0.501	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.499	0.501	0.000
rs3131038 lBF = `183.589` Chr`6` : `30,734,080`	0.499	0.501	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.499	0.501	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.499	0.501	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.499	0.501	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.499	0.501	0.000
rs9272219 lBF = `165.087` Chr`6` : `32,602,269`	0.499	0.501	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.498	0.501	0.000
rs3094112 lBF = `187.033` Chr`6` : `30,761,734`	0.498	0.501	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.498	0.501	0.000
rs175597 lBF = `165.738` Chr`6` : `27,810,626`	0.498	0.501	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.498	0.502	0.000
rs209181 lBF = `143.701` Chr`6` : `28,792,477`	0.498	0.502	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.498	0.502	0.000
rs61820511 lBF = `8.52267` Chr`1` : `191,420,181`	0.498	0.502	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.498	0.502	0.000
rs1633021 lBF = `104.806` Chr`6` : `29,746,869`	0.498	0.502	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.498	0.502	0.000
rs2734986 lBF = `167.606` Chr`6` : `29,818,568`	0.498	0.502	0.000
rs200483 lBF = `168.443` Chr`6` : `27,774,824`	0.497	0.502	0.000
rs2844793 lBF = `219.632` Chr`6` : `30,080,496`	0.497	0.502	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.497	0.502	0.000
rs9272630 lBF = `162.464` Chr`6` : `32,608,150`	0.497	0.502	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.497	0.502	0.000
rs2021722 lBF = `181.818` Chr`6` : `30,174,131`	0.497	0.502	0.000
rs2523721 lBF = `181.304` Chr`6` : `30,166,266`	0.497	0.502	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.497	0.502	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.497	0.503	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.497	0.503	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	0.497	0.503	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.497	0.503	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.497	0.503	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.497	0.503	0.000
rs370155 lBF = `164.302` Chr`6` : `27,782,031`	0.497	0.503	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

0.3579

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1019

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.6642

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5140

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5140

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5140

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5140

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5140

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5140

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5140

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5140

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5140

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5140

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5140

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5140

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5140

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5140

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5140

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5140

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5140

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5140

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5140

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5140

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5140

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5140

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5140

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5140

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5140

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5140

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5140

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5140

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5140

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5140

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5140

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5140

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5139

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5139

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5139

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5139

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5139

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.5139

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5139

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5139

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5139

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5139

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5138

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5138

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5137

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5136

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5136

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5136

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5135

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5134

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5133

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5129

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5127

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5126

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5124

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5123

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5123

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5122

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5122

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5122

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5120

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5119

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5115

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5115

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5110

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5109

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5105

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5099

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5099

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5095

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5091

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5090

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5089

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5075

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5069

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5045

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5043

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5041

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5037

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5019

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5003

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4976

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4976

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4973

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4955

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4947

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4945

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4939

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4865

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4855

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4849

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4847

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4846

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4816

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4793

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4791

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4753

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4705

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4682

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4637

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4594

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4555

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4457

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4417

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4334

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4327

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4261

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4205

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4115

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4080

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4049

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4013

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3940

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3820

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3778

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3766

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3751

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3249

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3248

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3176

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3079

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3076

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3063

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3037

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2790

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2486

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2210

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2185

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2126

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2007

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1935

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1934

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1886

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1869

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1820

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1805

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1803

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1782

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1739

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1710

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1636

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1372

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1311

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1204

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1192

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1044

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0968

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0952

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0858

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0801

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0787

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0715

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0684

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0668

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0652

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0510

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`)