Longevity Variant Database

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Use ontology terms to further narrow results (e.g. aging, insulin, etc.):


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    Populations | Study Types | Variant Types



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    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs2866164 MTTP 1.18 0.34 666 vs 540 1033 vs 359 German <100 G C Candidate Region/Gene 15911777
    rs662 PON1 1.06 0.11 Danish, Dutch, French, German, Italian, Tatar >/=80 Candidate Region/Gene 20362697
    rs1801274 FCGR2A 1.0 408 vs 446 vs 454 German Centenarians Candidate Region/Gene 16893392
    rs2866164 MTTP 1.21 0.28 373 vs 540 1033 vs 359 German Centenarians G C Candidate Region/Gene 15911777
    - HRAS1 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls 1 (specifically for SIRT3 in a French population) French, German, Italian centenarians; see notes - 19367319
    - SIRT3 0.145 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    - TH 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    - INS 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    - IGF2 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    rs4073591 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    rs4073590 DEAF1 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    rs11040489 KRTAP5-6 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    rs4930001 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    rs800140 TSPAN32 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    rs16928120 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    rs3758391 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    rs1885472 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    rs2273773 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    rs10997870 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    rs2234975 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    rs1776180 EXO1 1.39 0.01 395 vs 411 455 vs 109 French, German Mean age 101.3 G C Candidate Region/Gene 19698732
    rs4986790 TLR4 0.61 273 vs 594 German Mean age 97.9 Candidate Region/Gene 17493663
    rs6911407 FOXO3 1.28 0.006 388 vs 371 535 vs 553 German mean age 98.4 years Candidate Region/Gene 19196970
    rs768023 FOXO3 1.27 0.007 388 vs 371 535 vs 553 German mean age 98.4 years Candidate Region/Gene 19196970
    rs2802288 FOXO3 1.28 0.006 388 vs 371 535 vs 553 German mean age 98.4 years Candidate Region/Gene 19196970

    The Longevity Variant Database (LVDB) is a collaborative effort to catalogue all published genetic variants relevant to human longevity.

    The project is directed by the Health Extension Research Foundation [http://www.healthextension.co/about/], and the online content is managed by the members of the Global Computing Initiative.

    LVDB is driven by an international collaboration of scientists, programmers, and volunteers, including Joe Betts-LaCroix, Kristen Fortney, Daniel Wuttke, Eric K. Morgen, Nick Schaum, John M. Adams, Jessica Choi, Barry Goldberg, Amir Levine, Maria Litovchenko, Aiste Narkeviciute, Emily Quist, Navneet Ramesh, Justin Rebo, Dmitri Shytikov, and Jimi Vyas. o


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