TreeWAS – [L81.9] Disorder of pigmentation, unspecified

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
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.780	0.220	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.622	0.378	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.551	0.449	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.501	0.499	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.491	0.509	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.476	0.524	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.473	0.527	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.471	0.529	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.460	0.539	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.428	0.571	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.422	0.578	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.416	0.583	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.402	0.598	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.392	0.608	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.390	0.610	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.390	0.610	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.360	0.640	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.350	0.650	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.350	0.650	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.347	0.653	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.338	0.662	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.316	0.684	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.290	0.710	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.266	0.734	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.257	0.743	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.255	0.745	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.243	0.756	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.242	0.757	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.242	0.757	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.242	0.758	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.239	0.761	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.205	0.795	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.203	0.797	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.200	0.800	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.196	0.804	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.176	0.823	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.172	0.827	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.167	0.832	0.001
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.154	0.845	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.154	0.846	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.151	0.849	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.141	0.859	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.132	0.867	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.131	0.869	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.123	0.877	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.117	0.882	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.111	0.889	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.109	0.891	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.108	0.892	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.102	0.898	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.095	0.905	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.088	0.912	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.084	0.916	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.083	0.917	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.078	0.922	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.077	0.923	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.076	0.924	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.072	0.928	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.062	0.938	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.059	0.940	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.057	0.943	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.056	0.944	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.055	0.945	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.054	0.946	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.047	0.953	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.045	0.955	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.043	0.957	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.039	0.961	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.037	0.963	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.037	0.963	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.036	0.963	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.034	0.966	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.028	0.971	0.001
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.025	0.975	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.023	0.977	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.017	0.982	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.016	0.984	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.014	0.986	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.011	0.988	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.011	0.989	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.005	0.995	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.005	0.995	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.005	0.995	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.005	0.995	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.004	0.995	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.004	0.995	0.001
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.004	0.996	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.003	0.996	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.997	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.003	0.997	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.003	0.997	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.002	0.998	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.002	0.998	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.002	0.998	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.002	0.998	0.001
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	0.998	0.002
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.002	0.998	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.001	0.999	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.001	0.999	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	0.999	0.001
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.001	0.999	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	0.999	0.001
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	0.999	0.001
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	0.999	0.001
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.001	0.999	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	0.999	0.001
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.001	0.999	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	0.999	0.001
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	0.999	0.001
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	0.999	0.001
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.001	0.999	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	0.999	0.001
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	0.999	0.001
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	0.999	0.001
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	0.999	0.001
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.001	0.999	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	0.999	0.001
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.001	0.999	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.000	0.999	0.001
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	0.999	0.001
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	0.999	0.001
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	0.999	0.001
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.000	0.999	0.001
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.001	0.999	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	0.999	0.001
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.001
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.001	0.999	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	0.999	0.001
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	0.999	0.001
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.001
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.001
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.001	0.999	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	0.999	0.001
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.001	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.001	0.999	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.001	0.999	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	0.999	0.001
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	0.999	0.001
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	0.999	0.001
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	0.999	0.001
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.999	0.001
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	0.999	0.001
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.001	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.001	0.999	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.001	0.999	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	0.999	0.001
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	0.999	0.001
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.001	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	0.999	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	0.999	0.001
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.001	0.999	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.001	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.001	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	0.999	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	0.999	0.001
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.001	0.999	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	0.999	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	0.999	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	0.999	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.000
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rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	1.000	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000

This table lists the top 491 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

0.1677

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0987

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.9641

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9337

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9323

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9262

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9226

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9221

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9164

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9148

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9098

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9033

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8881

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8736

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8670

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8604

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8290

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8290

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8103

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8099

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8087

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8075

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8043

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7952

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7923

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7846

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7803

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7799

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.7788

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7708

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7636

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7531

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7507

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7497

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7289

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7155

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7057

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6880

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6677

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6662

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6649

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6647

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6466

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6451

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6408

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6333

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6256

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6210

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6204

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5903

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5845

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5569

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5555

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5480

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5447

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5436

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5421

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5399

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5391

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5351

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5269

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5235

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5115

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4903

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4851

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4743

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4674

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4655

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4654

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4652

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4636

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4619

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4585

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4334

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4275

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4223

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4119

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3925

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3920

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3875

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3786

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3776

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3773

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3762

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3722

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3709

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3648

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3639

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3523

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3522

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3513

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3335

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3125

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3008

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2982

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2930

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2918

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2893

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2810

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2574

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2573

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2538

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2477

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2298

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2261

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2234

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2116

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2114

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2027

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2017

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1920

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1912

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1857

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1789

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1685

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1675

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1653

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1605

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1538

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1522

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1382

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1370

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1368

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1347

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1321

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1246

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1242

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1217

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1184

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1122

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0888

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0846

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0836

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0827

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.0801

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0711

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0683

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0679

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0644

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0641

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0605

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0592

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0565

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0552

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0518

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0512

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0504

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`)