TreeWAS – [Z84.3] Family history of consanguinity

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
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.573	0.427	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.572	0.427	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.552	0.448	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.544	0.455	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.527	0.473	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.515	0.485	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.514	0.486	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.514	0.486	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.514	0.486	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.514	0.486	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.514	0.486	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.514	0.486	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.514	0.486	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.514	0.486	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.514	0.486	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.513	0.486	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.513	0.487	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.511	0.489	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.510	0.490	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.506	0.494	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.501	0.499	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.500	0.500	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.496	0.504	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.494	0.506	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.494	0.506	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.493	0.507	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.492	0.507	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.492	0.508	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.490	0.509	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.490	0.510	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.489	0.511	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.487	0.512	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.484	0.516	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.468	0.532	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.451	0.549	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.442	0.557	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.438	0.562	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.427	0.573	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.423	0.577	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.415	0.585	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.409	0.591	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.377	0.623	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.633	0.366
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.340	0.660	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.326	0.674	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.314	0.685	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.311	0.689	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.299	0.701	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.297	0.702	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.285	0.715	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.285	0.715	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.256	0.744	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.246	0.754	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.244	0.756	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.241	0.759	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.225	0.775	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.218	0.782	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.188	0.811	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.153	0.847	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.146	0.854	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.141	0.859	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.138	0.862	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.137	0.863	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.122	0.878	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.107	0.893	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.095	0.904	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.087	0.913	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.084	0.916	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.082	0.918	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.074	0.926	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.072	0.928	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.068	0.932	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.065	0.935	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.061	0.939	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.060	0.939	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.060	0.940	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.060	0.940	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.043	0.957	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.040	0.959	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.036	0.964	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.032	0.967	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.031	0.968	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.031	0.968	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.031	0.969	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.028	0.972	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.028	0.972	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.027	0.973	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.026	0.974	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.025	0.975	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.019	0.980	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.015	0.985	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.010	0.990	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.010	0.990	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.010	0.990	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.007	0.992	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.005	0.994	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.005	0.995	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.003	0.996	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.003	0.997	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.003	0.997	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.003	0.997	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.003	0.997	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.003	0.997	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.002	0.997	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.002	0.997	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.002	0.998	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.002	0.998	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.002	0.998	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.001	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.001
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.001	0.999	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.001	0.999	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.001	0.999	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.001	0.999	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs8049607 lBF = `-0.131006` Chr`16` : `11,691,753`	0.000	0.999	0.001
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.001	0.999	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.001	0.999	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs73251207 lBF = `0` Chr`16` : `87,615,821`	0.001	0.999	0.001
rs116768843 lBF = `0` Chr`16` : `60,732,168`	0.001	0.999	0.001
rs151011520 lBF = `0` Chr`16` : `65,661,516`	0.001	0.999	0.001
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs144039930 lBF = `0` Chr`16` : `21,252,260`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
rs143661751 lBF = `0` Chr`16` : `73,722,291`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
rs147153117 lBF = `0` Chr`16` : `51,061,528`	0.001	0.999	0.001
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs189297294 lBF = `0` Chr`16` : `25,221,816`	0.001	0.999	0.001
rs114607539 lBF = `0` Chr`16` : `60,697,586`	0.001	0.999	0.001
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs191732819 lBF = `0` Chr`16` : `13,865,227`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
rs115958457 lBF = `0` Chr`16` : `86,827,007`	0.001	0.999	0.001
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
rs142313660 lBF = `0` Chr`16` : `81,370,140`	0.001	0.999	0.001
rs186108482 lBF = `0` Chr`16` : `13,859,191`	0.001	0.999	0.001
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	0.000	0.999	0.001
rs9302841 lBF = `-0.00000593` Chr`16` : `7,227,122`	0.001	0.999	0.000
rs7187140 lBF = `-0.00000637` Chr`16` : `16,011,680`	0.001	0.999	0.000
rs9924561 lBF = `-0.00001304` Chr`16` : `314,780`	0.001	0.999	0.000
rs13335629 lBF = `-0.0000141` Chr`16` : `310,380`	0.001	0.999	0.000
rs78394940 lBF = `-0.00002103` Chr`16` : `11,222,238`	0.000	0.999	0.001
rs9925432 lBF = `-0.0712221` Chr`16` : `2,917,327`	0.000	0.999	0.001
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.001	0.999	0.000
rs16963349 lBF = `0.00063379` Chr`16` : `84,338,234`	0.000	0.999	0.001
rs735951 lBF = `-0.136693` Chr`16` : `11,693,536`	0.000	0.999	0.001
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	0.999	0.001
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.001	0.999	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.001	0.999	0.000
rs74475935 lBF = `-0.00036537` Chr`16` : `16,055,106`	0.000	0.999	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.001	0.999	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.001	0.999	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.001	0.999	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.001	0.999	0.000
rs4083242 lBF = `-0.0786122` Chr`16` : `86,368,526`	0.000	0.999	0.001
rs142916547 lBF = `-0.00053781` Chr`16` : `25,500,442`	0.000	0.999	0.000
rs9932186 lBF = `-0.0871129` Chr`16` : `60,314,656`	0.001	0.999	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.001	0.999	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.001	0.999	0.000
rs9923231 lBF = `1.62789` Chr`16` : `31,107,689`	0.001	0.999	0.000
rs2001970 lBF = `-0.0944758` Chr`16` : `55,255,191`	0.000	0.999	0.001
rs749671 lBF = `1.417` Chr`16` : `31,088,347`	0.001	0.999	0.000
rs9925964 lBF = `1.06474` Chr`16` : `31,129,895`	0.001	0.999	0.000
rs14235 lBF = `1.05551` Chr`16` : `31,121,793`	0.001	0.999	0.000
rs10871454 lBF = `1.50481` Chr`16` : `31,048,079`	0.001	0.999	0.000
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rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	0.999	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.000	0.999	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	0.999	0.000
rs17550532 lBF = `0.0223653` Chr`16` : `9,744,095`	0.000	0.999	0.000
rs7187365 lBF = `0.0181339` Chr`16` : `86,511,915`	0.000	0.999	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	0.999	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.000	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.000	0.999	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.000	0.999	0.000
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.000	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	0.999	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.000	0.999	0.000
rs1801275 lBF = `-0.0517617` Chr`16` : `27,374,400`	0.000	0.999	0.000
rs2650492 lBF = `-0.0547964` Chr`16` : `28,333,411`	0.000	0.999	0.000
rs12919634 lBF = `-0.0770561` Chr`16` : `60,462,706`	0.000	0.999	0.000
rs11641231 lBF = `-0.0963028` Chr`16` : `86,381,184`	0.000	0.999	0.000
rs391023 lBF = `-0.105211` Chr`16` : `85,927,814`	0.000	0.999	0.000
rs12708980 lBF = `-0.122958` Chr`16` : `57,012,379`	0.000	0.999	0.000
rs9940464 lBF = `-0.123422` Chr`16` : `83,360,775`	0.000	0.999	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.000	1.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.000	1.000	0.000
rs4390574 lBF = `16.0988` Chr`16` : `88,776,297`	0.000	1.000	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.000	1.000	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.000	1.000	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.000	1.000	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.000	1.000	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.000	1.000	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	1.000	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.000	1.000	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.000	1.000	0.000
rs8046018 lBF = `8.23507` Chr`16` : `88,719,980`	0.000	1.000	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.000	1.000	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.000	1.000	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	1.000	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	1.000	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.000	1.000	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.000	1.000	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.000	1.000	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs250585 lBF = `0.271344` Chr`16` : `23,401,076`	0.000	1.000	0.000
rs13330107 lBF = `0.237772` Chr`16` : `76,878,862`	0.000	1.000	0.000
rs2744148 lBF = `0.233312` Chr`16` : `1,073,552`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs11865038 lBF = `0.213016` Chr`16` : `31,095,171`	0.000	1.000	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs924135 lBF = `0.189171` Chr`16` : `16,123,459`	0.000	1.000	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs2062541 lBF = `0.12448` Chr`16` : `16,127,235`	0.000	1.000	0.000
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.000	1.000	0.000
rs420259 lBF = `0.101125` Chr`16` : `23,634,026`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.000	1.000	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	1.000	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5140

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3663

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0925

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7102

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7033

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7018

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6986

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6982

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6933

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6738

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6723

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6706

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6654

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6648

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6592

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6490

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6430

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6421

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6412

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6387

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6377

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6342

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6287

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6236

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6235

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6166

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6153

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6146

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6144

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6078

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6075

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6061

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6044

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5996

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5992

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5968

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5950

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5950

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5943

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5926

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5926

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5923

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5915

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5905

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5891

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5890

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5879

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5873

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5865

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5859

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5780

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5775

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5728

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5725

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5725

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5697

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5687

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5655

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5648

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5646

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5642

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5619

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5601

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5569

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5543

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5529

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5525

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5520

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5508

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5493

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5489

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5480

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5480

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5456

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5440

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5438

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5413

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5386

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5377

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5367

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5359

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5328

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5275

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5259

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5206

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5145

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5140

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5140

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5140

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5140

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5140

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5140

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5140

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5140

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5140

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5140

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5140

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5140

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5140

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5140

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5139

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5136

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5075

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5026

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4987

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4959

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4885

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4831

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4755

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4401

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4358

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4296

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4202

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3578

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3398

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2691

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2657

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2483

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2354

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1783

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1695

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1555

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1442

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1235

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1188

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0910

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0895

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0868

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0750

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0644

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0584

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0553

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`)