TreeWAS – [Z82] Family history of certain disabilities and chronic diseases leading to disablement

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
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.997	0.003	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.947	0.053	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.944	0.056	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.864	0.136	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.853	0.147	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.823	0.177	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.815	0.185	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.796	0.204	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.784	0.216	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.758	0.242	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.756	0.244	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.749	0.251	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.749	0.251	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.722	0.278	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.721	0.279	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.708	0.292	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.700	0.300	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.692	0.308	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.691	0.309	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.601	0.399	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.568	0.432	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.556	0.443	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.556	0.444	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.548	0.452	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.547	0.453	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.526	0.474	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.493	0.507	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.483	0.517	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.480	0.520	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.464	0.536	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.448	0.552	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.434	0.566	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.428	0.571	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.427	0.573	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.426	0.574	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.425	0.575	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.420	0.580	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.419	0.581	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.418	0.582	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.415	0.585	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.414	0.586	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.404	0.595	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.404	0.596	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.403	0.597	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.382	0.618	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.377	0.623	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.333	0.666	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.331	0.668	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.322	0.678	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.310	0.690	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.713	0.287
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.275	0.725	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.239	0.760	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.206	0.794	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.204	0.796	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.203	0.797	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.178	0.822	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.173	0.827	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.157	0.843	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.138	0.862	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.138	0.862	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.118	0.882	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.114	0.886	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.109	0.891	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.107	0.893	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.104	0.895	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.101	0.899	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.099	0.901	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.092	0.908	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.091	0.909	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.086	0.914	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.086	0.914	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.084	0.916	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.080	0.920	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.072	0.928	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	0.931	0.069
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.067	0.933	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.063	0.937	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.047	0.953	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.043	0.957	0.000
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.039	0.961	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.039	0.961	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.036	0.964	0.000
rs1035560 lBF = `0.00137358` Chr`16` : `72,032,730`	0.035	0.965	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.028	0.972	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.028	0.972	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.027	0.973	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.025	0.975	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.024	0.976	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.024	0.976	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.023	0.977	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.023	0.977	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.022	0.978	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.021	0.979	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.013	0.987	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.013	0.987	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.011	0.989	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.010	0.990	0.000
rs8044853 lBF = `0.105468` Chr`16` : `81,457,659`	0.000	0.990	0.010
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.010	0.990	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.009	0.991	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.007	0.993	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.006	0.994	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	0.994	0.006
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.005	0.994	0.000
rs2080454 lBF = `-0.0203477` Chr`16` : `49,062,590`	0.000	0.995	0.005
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.004	0.995	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.004	0.996	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.004	0.996	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.004	0.996	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.004	0.996	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.004	0.996	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.004	0.996	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.003	0.997	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.003	0.997	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.003	0.997	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	0.997	0.003
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.003	0.997	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.003	0.997	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.003	0.997	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.002	0.998	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.002	0.998	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.002	0.998	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.998	0.002
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs904790 lBF = `-0.0111645` Chr`16` : `88,528,780`	0.002	0.998	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.002	0.998	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.002	0.998	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.002	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	0.998	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs55637647 lBF = `-0.092831` Chr`16` : `88,549,264`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.001	0.999	0.000
rs7185923 lBF = `0.37497` Chr`16` : `51,245,487`	0.001	0.999	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.001	0.999	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	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
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
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
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs12597458 lBF = `-0.0663606` Chr`16` : `72,030,970`	0.000	0.999	0.001
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
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
rs188330159 lBF = `0` Chr`16` : `60,694,183`	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
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
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
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.001	0.999	0.000
rs16963349 lBF = `0.00063379` Chr`16` : `84,338,234`	0.000	0.999	0.001
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
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.001	0.999	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.001	0.999	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.001	0.999	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.999	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.001	0.999	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.001	0.999	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.001	0.999	0.000
rs1728785 lBF = `0.341439` Chr`16` : `68,591,230`	0.000	0.999	0.001
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.001	0.999	0.000
rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.000	0.999	0.001
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rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	0.000	1.000	0.000
rs821840 lBF = `-0.0480025` Chr`16` : `56,993,886`	0.000	1.000	0.000
rs12932018 lBF = `-0.0504867` Chr`16` : `84,796,603`	0.000	1.000	0.000
rs2388639 lBF = `-0.064396` Chr`16` : `54,489,793`	0.000	1.000	0.000
rs2266928 lBF = `-0.0690413` Chr`16` : `580,124`	0.000	1.000	0.000
rs9922619 lBF = `40.3298` Chr`16` : `53,831,771`	0.000	1.000	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.000	1.000	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	1.000	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	1.000	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	1.000	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.000	1.000	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	1.000	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	1.000	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	1.000	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.000	1.000	0.000
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.000	1.000	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	1.000	0.000
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.000	1.000	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.000	1.000	0.000
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.000	1.000	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	1.000	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs37062 lBF = `0.0875835` Chr`16` : `58,567,238`	0.000	1.000	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	1.000	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.000	1.000	0.000
rs9302752 lBF = `-0.033716` Chr`16` : `50,719,103`	0.000	1.000	0.000
rs3764261 lBF = `-0.0440321` Chr`16` : `56,993,324`	0.000	1.000	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	1.000	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.000	1.000	0.000
rs8053728 lBF = `-0.0620872` Chr`16` : `82,485,251`	0.000	1.000	0.000
rs8052560 lBF = `-0.0737905` Chr`16` : `88,777,242`	0.000	1.000	0.000
rs11649311 lBF = `-0.0803119` Chr`16` : `25,226,020`	0.000	1.000	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.000	1.000	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.000	1.000	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.000	1.000	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.000	1.000	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.000	1.000	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.000	1.000	0.000
rs9930506 lBF = `40.5758` Chr`16` : `53,830,465`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	1.000	0.000
rs6499188 lBF = `1.3923` Chr`16` : `68,674,788`	0.000	1.000	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	1.000	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	1.000	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	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
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.000	1.000	0.000
rs7184597 lBF = `0.0323666` Chr`16` : `28,921,809`	0.000	1.000	0.000
rs1463132 lBF = `0.0211482` Chr`16` : `10,183,087`	0.000	1.000	0.000
rs2270368 lBF = `0.0178197` Chr`16` : `50,714,335`	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
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.000	1.000	0.000
rs1381102 lBF = `-0.0328893` Chr`16` : `63,955,447`	0.000	1.000	0.000
rs1564981 lBF = `-0.0400606` Chr`16` : `50,986,308`	0.000	1.000	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	1.000	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	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 X0199

log Bayes Factor = 350.038

contains 3 variants

0.7357

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4830

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2868

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2009

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

1.0000

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

1.0000

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

1.0000

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

1.0000

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

1.0000

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9999

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9996

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9993

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9960

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9943

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9894

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9892

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9857

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9846

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9805

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9804

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9787

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9778

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9776

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9750

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9703

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9638

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9635

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9630

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9603

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9542

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9539

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9505

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9504

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9487

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9440

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9380

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9374

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9358

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9349

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9168

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9155

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9151

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9100

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9050

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8988

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8872

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8754

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8738

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8715

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8668

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8666

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8659

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8639

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8514

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8446

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8434

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8383

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8304

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8262

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8245

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8104

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8097

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8087

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8080

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8064

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7897

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7853

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7760

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7624

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7499

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7404

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.7384

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7125

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7107

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7091

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6908

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6862

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6848

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6811

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6780

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6770

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6748

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6744

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6449

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6287

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6250

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6221

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6217

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6083

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5833

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5813

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5782

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5673

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5644

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5497

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5495

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5452

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5395

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5190

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5030

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5023

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4981

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4972

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4953

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4939

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4846

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4767

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4688

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4643

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4310

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4291

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4213

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4189

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4045

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3950

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3875

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3851

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3756

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3634

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3442

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3212

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3026

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2936

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2846

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2692

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2583

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2417

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2316

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2261

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2106

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1924

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1900

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1889

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1773

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1699

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1655

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1493

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0995

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0990

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0840

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0826

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0768

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0699

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0556

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`)