TreeWAS – [S02.40] Fracture of malar and maxillary bones (closed)

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
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.765	0.235	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.756	0.244	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.618	0.382	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.617	0.383	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.599	0.401	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.581	0.419	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.547	0.452	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.538	0.462	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.507	0.493	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.493	0.507	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.466	0.534	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.455	0.545	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.454	0.546	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.449	0.551	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.449	0.551	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.432	0.568	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.430	0.570	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.411	0.588	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.408	0.592	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.405	0.595	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.398	0.602	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.377	0.623	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.362	0.637	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.350	0.650	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.314	0.685	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.303	0.697	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.289	0.711	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.287	0.712	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.273	0.727	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.267	0.733	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.265	0.735	0.001
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.263	0.737	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.263	0.737	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.261	0.738	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.261	0.738	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.256	0.744	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.254	0.746	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.250	0.749	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.249	0.750	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.245	0.755	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.243	0.756	0.001
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.237	0.762	0.001
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.237	0.763	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.236	0.763	0.001
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.229	0.771	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.222	0.778	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.221	0.778	0.001
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.209	0.791	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.201	0.798	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.187	0.813	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.181	0.818	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.180	0.820	0.001
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.179	0.821	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.177	0.822	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.176	0.823	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.176	0.824	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.175	0.825	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.171	0.829	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.170	0.830	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.165	0.834	0.001
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.165	0.834	0.001
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.159	0.840	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.153	0.846	0.001
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.132	0.868	0.001
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.128	0.872	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.114	0.886	0.001
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.101	0.898	0.001
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.101	0.899	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.094	0.906	0.001
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.093	0.907	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.088	0.912	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.085	0.915	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.062	0.938	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.053	0.947	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.049	0.951	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.048	0.952	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.045	0.955	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.044	0.956	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.035	0.965	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.034	0.965	0.001
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.033	0.966	0.001
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.031	0.969	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.030	0.970	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.025	0.975	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.023	0.976	0.001
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.019	0.980	0.001
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.018	0.982	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.018	0.982	0.001
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.017	0.983	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.015	0.985	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.013	0.987	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.012	0.988	0.001
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.012	0.988	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.011	0.989	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.010	0.990	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.010	0.990	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.009	0.991	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.006	0.994	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.006	0.994	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.005	0.995	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.005	0.995	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.005	0.995	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	0.996	0.004
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.004	0.996	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.004	0.996	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.004	0.996	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.004	0.996	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	0.996	0.004
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.003	0.997	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.997	0.003
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.003	0.997	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.003	0.997	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.002	0.997	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	0.997	0.003
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.002	0.997	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.002	0.998	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	0.998	0.002
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.002	0.998	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.002	0.998	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.002	0.998	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	0.998	0.002
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.002	0.998	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.998	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.002	0.998	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.002	0.998	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.002	0.998	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.001	0.998	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.002	0.998	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	0.998	0.002
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.998	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	0.999	0.001
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.001	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.999	0.001
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	0.999	0.001
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	0.999	0.001
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.001	0.999	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.001	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.001	0.999	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	0.999	0.001
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.001
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	0.999	0.001
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	0.999	0.001
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.001	0.999	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
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
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.999	0.001
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	0.999	0.001
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.000	0.999	0.001
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	0.999	0.001
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	0.999	0.001
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.999	0.001
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.001	0.999	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.001	0.999	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	0.999	0.001
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.000	0.999	0.001
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.001
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.001	0.999	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.001	0.999	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.001	0.999	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.001	0.999	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	0.999	0.001
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.001	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.001	0.999	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	0.999	0.001
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.001	0.999	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.001	0.999	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.001	0.999	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	0.999	0.001
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.001
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	0.999	0.001
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.001
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	0.999	0.001
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.001	0.999	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	0.999	0.001
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.001	0.999	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	0.999	0.001
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	0.999	0.001
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	0.999	0.001
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.000	0.999	0.001
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.001	0.999	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.001	0.999	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.001	0.999	0.000
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rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	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
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	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
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	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

0.8623

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1904

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9999

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9995

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9807

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9766

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9545

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9384

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9349

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9242

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9004

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8729

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8684

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8526

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8364

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8181

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7798

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6942

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6786

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6720

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6627

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6618

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6561

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6480

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6468

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6441

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6412

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6309

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5829

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5673

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5650

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5629

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5589

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5486

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5421

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5378

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5371

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5328

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5293

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5169

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5003

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4940

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4904

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4824

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4805

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4713

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4682

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4681

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4627

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4611

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4294

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4042

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3800

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3519

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3506

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3455

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3309

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3159

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3130

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3076

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3068

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3017

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2982

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2932

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2908

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2799

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2654

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2622

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2451

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2447

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2420

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2379

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2316

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2252

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2245

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2169

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2090

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2049

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1956

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1946

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1889

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1848

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1816

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1812

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1779

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1767

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1715

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1645

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1590

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1556

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1529

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1496

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1438

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1385

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1366

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1304

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1303

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1285

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1262

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1261

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1205

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1198

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1165

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1092

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1080

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1070

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1066

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1055

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1045

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0986

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0949

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0938

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0911

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0854

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0848

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0786

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0781

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0775

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0771

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0768

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0659

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0644

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0641

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0638

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0630

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0614

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0594

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0560

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0518

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`)