TreeWAS – [Z80.2] Family history of malignant neoplasm of other respiratory and intrathoracic organs

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
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.716	0.284	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.715	0.285	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.715	0.285	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.711	0.288	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.700	0.300	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.597	0.403	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.575	0.425	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.567	0.433	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.550	0.450	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.523	0.477	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.512	0.488	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.500	0.500	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.496	0.503	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.490	0.510	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.476	0.524	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.470	0.529	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.467	0.533	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.462	0.538	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.439	0.561	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.428	0.572	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.415	0.585	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.400	0.600	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.387	0.613	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.641	0.359
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.353	0.647	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.349	0.651	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.347	0.653	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.346	0.654	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.342	0.657	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.332	0.668	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.325	0.675	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.322	0.678	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.320	0.680	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.310	0.690	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.302	0.698	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.291	0.709	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.285	0.715	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.284	0.716	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.279	0.721	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.276	0.724	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.249	0.751	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.244	0.756	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.237	0.763	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.234	0.766	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.222	0.778	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.215	0.784	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.213	0.786	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.196	0.804	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.195	0.805	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.182	0.818	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.173	0.826	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.162	0.838	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.149	0.851	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.145	0.855	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.145	0.855	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.145	0.855	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.135	0.865	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.131	0.869	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.123	0.877	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.117	0.883	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.110	0.890	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.096	0.904	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.095	0.905	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.087	0.913	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.077	0.923	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.071	0.928	0.001
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.067	0.933	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.062	0.938	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.059	0.941	0.001
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.055	0.945	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.947	0.053
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.053	0.947	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.049	0.951	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.049	0.951	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.045	0.955	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.044	0.956	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.038	0.961	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.035	0.964	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.035	0.965	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.032	0.968	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.032	0.968	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.031	0.969	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.029	0.971	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.028	0.972	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.028	0.972	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.025	0.975	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.025	0.975	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.020	0.980	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.017	0.983	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.016	0.984	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.015	0.985	0.000
rs4784220 lBF = `23.5457` Chr`16` : `52,535,810`	0.013	0.987	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.011	0.988	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.009	0.990	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.008	0.991	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.008	0.992	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.006	0.994	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.006	0.994	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.005	0.995	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	0.995	0.005
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.005	0.995	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.004	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs9931232 lBF = `13.6644` Chr`16` : `52,572,832`	0.003	0.996	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.003	0.997	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.002	0.997	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.002	0.997	0.000
rs2398144 lBF = `-0.104551` Chr`16` : `56,352,854`	0.002	0.998	0.000
rs2193094 lBF = `13.5255` Chr`16` : `52,566,454`	0.002	0.998	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.002	0.998	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.002	0.998	0.001
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.000	0.998	0.002
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.998	0.002
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.002	0.998	0.000
rs9924758 lBF = `-0.072789` Chr`16` : `13,616,484`	0.000	0.998	0.002
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	0.998	0.002
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.001	0.998	0.000
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.000	0.998	0.001
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs1424233 lBF = `0.110618` Chr`16` : `79,682,751`	0.000	0.999	0.001
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.001
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.001
rs2601828 lBF = `0.00343066` Chr`16` : `4,103,871`	0.000	0.999	0.001
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
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	0.999	0.001
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.001	0.999	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.001	0.999	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.001	0.999	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	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
rs4888262 lBF = `-0.0746425` Chr`16` : `74,670,458`	0.000	0.999	0.001
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs188330159 lBF = `0` Chr`16` : `60,694,183`	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
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
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
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
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	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
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
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
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	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
rs8044853 lBF = `0.105468` Chr`16` : `81,457,659`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs16963349 lBF = `0.00063379` Chr`16` : `84,338,234`	0.000	0.999	0.001
rs4889294 lBF = `-0.103527` Chr`16` : `81,303,759`	0.001	0.999	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.000	0.999	0.001
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.001	0.999	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.001	0.999	0.000
rs6563943 lBF = `-0.0859058` Chr`16` : `83,639,335`	0.001	0.999	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.000	0.999	0.001
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.000	0.999	0.001
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rs6498482 lBF = `-0.076711` Chr`16` : `13,987,719`	0.000	1.000	0.000
rs12924572 lBF = `14.354` Chr`16` : `89,748,736`	0.000	1.000	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.000	1.000	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.000	1.000	0.000
rs5743289 lBF = `8.95714` Chr`16` : `50,756,774`	0.000	1.000	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	1.000	0.000
rs12598357 lBF = `1.89442` Chr`16` : `28,340,945`	0.000	1.000	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.000	1.000	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.000	1.000	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	1.000	0.000
rs7498665 lBF = `1.38705` Chr`16` : `28,883,241`	0.000	1.000	0.000
rs11641184 lBF = `0.49443` Chr`16` : `11,704,651`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs1728785 lBF = `0.341439` Chr`16` : `68,591,230`	0.000	1.000	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	1.000	0.000
rs4780805 lBF = `0.251748` Chr`16` : `19,404,645`	0.000	1.000	0.000
rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs11508026 lBF = `0.125383` Chr`16` : `56,999,328`	0.000	1.000	0.000
rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.000	1.000	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	1.000	0.000
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.000	1.000	0.000
rs12446301 lBF = `-0.00486397` Chr`16` : `82,697,661`	0.000	1.000	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs35538253 lBF = `-0.0210536` Chr`16` : `71,677,975`	0.000	1.000	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	1.000	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	1.000	0.000
rs2288061 lBF = `-0.0301445` Chr`16` : `76,169,731`	0.000	1.000	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs3764261 lBF = `-0.0440321` Chr`16` : `56,993,324`	0.000	1.000	0.000
rs8054347 lBF = `-0.0464613` Chr`16` : `6,717,757`	0.000	1.000	0.000
rs247616 lBF = `-0.0472567` Chr`16` : `56,989,590`	0.000	1.000	0.000
rs17231506 lBF = `-0.0477004` Chr`16` : `56,994,528`	0.000	1.000	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	1.000	0.000
rs2280018 lBF = `-0.0500864` Chr`16` : `15,150,833`	0.000	1.000	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	1.000	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	1.000	0.000
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.000	1.000	0.000
rs11074782 lBF = `-0.113182` Chr`16` : `26,505,011`	0.000	1.000	0.000
rs12600304 lBF = `-0.144173` Chr`16` : `58,022,136`	0.000	1.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	1.000	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.000	1.000	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.000	1.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	1.000	0.000
rs9933309 lBF = `25.7741` Chr`16` : `88,844,932`	0.000	1.000	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.000	1.000	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	1.000	0.000
rs2968482 lBF = `13.1012` Chr`16` : `88,844,433`	0.000	1.000	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.000	1.000	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.000	1.000	0.000
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	0.000	1.000	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.000	1.000	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.000	1.000	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	1.000	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	1.000	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	1.000	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.000	1.000	0.000
rs3813579 lBF = `2.92185` Chr`16` : `79,749,276`	0.000	1.000	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	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
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	1.000	0.000
rs4780355 lBF = `0.183442` Chr`16` : `11,347,858`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.000	1.000	0.000
rs2062541 lBF = `0.12448` Chr`16` : `16,127,235`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs416603 lBF = `0.0624644` Chr`16` : `11,364,079`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs10514550 lBF = `0.0287587` Chr`16` : `82,703,845`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs3785176 lBF = `0.0152003` Chr`16` : `8,896,931`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	1.000	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	1.000	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	1.000	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	1.000	0.000
rs11647589 lBF = `-0.0210411` Chr`16` : `20,449,616`	0.000	1.000	0.000
rs8061903 lBF = `-0.0247667` Chr`16` : `9,382,329`	0.000	1.000	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	0.000	1.000	0.000
rs7203315 lBF = `-0.0477223` Chr`16` : `10,188,060`	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

0.6256

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3587

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9465

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8772

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8687

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8678

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8658

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8322

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8250

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8112

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8087

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7832

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7820

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7520

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7489

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7167

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7166

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7165

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7165

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7165

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7163

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7137

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7134

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7128

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7117

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7070

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7005

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6948

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6898

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6868

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6837

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6797

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6771

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6744

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6742

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6720

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6692

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6599

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6591

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6537

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6528

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6412

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6399

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6354

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6147

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6100

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5904

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5880

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5818

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5585

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5553

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5353

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5314

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5022

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4985

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4885

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4748

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4707

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4655

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4588

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4540

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4374

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4107

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3770

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3720

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3685

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3338

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3246

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3164

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2968

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2940

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2736

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2727

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2696

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2444

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2354

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2287

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2007

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1969

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1914

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1911

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1909

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1851

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1836

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1653

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1643

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1518

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1484

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1186

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1054

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0988

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0947

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0937

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0875

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0873

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0837

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0796

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0795

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0792

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0764

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0730

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0601

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0591

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0585

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0572

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`)