Longevity Variant Database

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    Populations | Study Types | Variant Types



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    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs11568820-rs4516035-rs10735810-rs1544410-rs17878969 VDR 11.50 0.024 104 vs 114 Caucasian, Spaniard >85 G-G-C-G-S non G-G-C-G-S haplotypes Candidate Region/Gene 20407924
    rs770087 DUSP6 1.53 0.002 386 vs 410 541 vs 469 German 100 to 110, mean age = 101.3 C Candidate Region/Gene 20800603
    rs2291727 ADCY6 0.003 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs4237973 PIK3C2G 1.51 0.022 137 vs 213 Korean Mean age 90 C Genome-Wide Association Study 19641380
    rs1800802 MGP 0.77 0.132 137 vs 213 Korean Mean age 90 C Genome-Wide Association Study 19641380
    rs671 ALDH2 (for males) 2.11 0.009 137 vs 213 Korean Mean age 90 A Genome-Wide Association Study 19641380
    rs2370413 CACNA1C 0.0011 1173 vs 570 American 85-100 T Genome-Wide Association Study 22533364
    rs10771498 FAR2 (upstream) 0.92 1.35e-05 5974 (RS), 3267 (CHS), 3136 (FHS), 4511 (ARIC), 3219 (AGES), 902 (inCHIANTI), 620 (BLSA), 1661 (HABC), 1717 (SHIP) Whitehall II - 6000 (UK), English Longitudinal Study of Ageing (UK), Religious Order Study - 1100, Memory and Ageing Project American T Genome-Wide Association Study 21782286
    rs10778652 CORO1C 1.08 2.18e-05 5974 (RS), 3267 (CHS), 3136 (FHS), 4511 (ARIC), 3219 (AGES), 902 (inCHIANTI), 620 (BLSA), 1661 (HABC), 1717 (SHIP) Whitehall II - 6000 (UK), English Longitudinal Study of Ageing (UK), Religious Order Study - 1100, Memory and Ageing Project American C Genome-Wide Association Study 21782286

    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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