TreeWAS – [D34] Benign neoplasm of thyroid gland

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
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.863	0.137	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.757	0.243	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.700	0.300	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.670	0.330	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.662	0.337	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.651	0.349	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.650	0.350	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.607	0.393	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.572	0.428	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.566	0.434	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.503	0.497	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.493	0.507	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.485	0.515	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.447	0.553	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.397	0.603	0.001
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.365	0.635	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.351	0.649	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.347	0.653	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.305	0.695	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.271	0.729	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.270	0.730	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.268	0.731	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.268	0.732	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.259	0.740	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.209	0.791	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.201	0.799	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.141	0.859	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.104	0.896	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.085	0.915	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.079	0.921	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.072	0.926	0.003
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.068	0.932	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.052	0.947	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.047	0.953	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.045	0.955	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.037	0.963	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.031	0.969	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.030	0.970	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.030	0.970	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.030	0.970	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.029	0.971	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.018	0.982	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.018	0.982	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.018	0.982	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.016	0.984	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.016	0.984	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.016	0.984	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.015	0.985	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.015	0.985	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.002	0.986	0.012
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.014	0.986	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.014	0.986	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.012	0.987	0.001
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.013	0.987	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.011	0.989	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.009	0.991	0.001
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.009	0.991	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.007	0.992	0.001
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.008	0.992	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.007	0.992	0.001
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.007	0.993	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.006	0.993	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.006	0.994	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.994	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.005	0.995	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.005	0.995	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.005	0.995	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.005	0.995	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	0.996	0.004
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.004	0.996	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.003	0.996	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.003	0.996	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.004	0.996	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.003	0.997	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.003	0.997	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.003	0.997	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.002	0.997	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.002	0.998	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.002	0.998	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.002	0.998	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.002	0.998	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.002	0.998	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.998	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.001	0.998	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.001	0.999	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.001	0.999	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	0.999	0.001
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	0.999	0.001
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	0.999	0.001
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	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
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	0.999	0.001
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.999	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.001	0.999	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.001	0.999	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	0.999	0.001
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.000	0.999	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.001	0.999	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	0.999	0.001
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.001	0.999	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	0.999	0.001
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.001	0.999	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.001	0.999	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	0.999	0.001
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	0.999	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.001	0.999	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	0.999	0.001
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	0.999	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	1.000	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	1.000	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	1.000	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	1.000	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	1.000	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.000	1.000	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	1.000	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.000	1.000	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	1.000	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	1.000	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
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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
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	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
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	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
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	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
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	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
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	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
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.9853

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1846

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9949

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9904

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9868

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9825

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9747

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9719

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9695

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9628

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9524

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9468

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9453

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9439

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9396

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9390

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9303

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9244

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9192

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9159

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9144

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9089

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9073

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9070

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8920

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8831

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8671

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8662

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8632

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8512

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8506

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8504

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8477

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8392

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8340

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8228

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8202

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8168

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8122

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8053

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8030

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8029

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7944

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7843

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7706

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7426

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7419

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7345

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7234

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7159

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6832

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6667

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6500

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6323

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6220

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6108

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5988

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5972

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5950

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5899

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5893

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5883

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5600

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5576

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5420

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5324

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5192

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5059

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4954

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4948

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4859

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4799

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4791

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4520

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4501

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4449

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4320

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4208

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4186

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4153

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4144

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3741

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3655

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3453

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3378

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3332

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3199

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3153

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2915

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2879

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2802

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2764

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2656

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2608

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2486

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2453

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2422

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2403

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2398

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2315

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2308

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2287

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2028

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1987

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1947

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1860

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1612

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1525

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1504

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1442

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1408

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1346

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1328

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1297

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1278

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1276

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1252

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1178

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1074

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1029

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.1012

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1003

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0993

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0971

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0727

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0677

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0674

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0626

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0569

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0547

Cluster X0261

log Bayes Factor = 420.614

contains 20 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`)