Longevity Variant Database

Narrow results by variant, study, or associated fields (e.g. gene symbol ADRB2):

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
    rs207444 XDH 0.046 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up G - Unsure Candidate Region/Gene 22406557
    rs705649 XRCC5 0.029 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up A - Unsure Candidate Region/Gene 22406557
    rs2291727 ADCY6 0.003 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs2266968 MAPK1 0.048 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs4420638 APOE 9.6e-08 4445 total (each a part of sibship of 2-5 siblings) Caucasian, European 90 Genome-Wide Association Study 23286790
    rs1801133 MTHFR 0.029 (150 m, 74 f) vs (121 m, 320 f) Ashkenazi Jewish Mean age 75 C Candidate Region/Gene 15621215
    rs4880 SOD2 0.009 (150 m, 74 f) vs (121 m, 320 f) Ashkenazi Jewish Mean age 75 T Candidate Region/Gene 15621215
    rs28969505 YTHDF2 0.047 136 vs 275 Italian Mean age 101 15-15 (205 bp) Candidate Region/Gene 16799135
    rs189037 (genotype) ATM 0.004 875 (280 m, 595 f) vs 886 (491 m, 395 f) Chinese Mean age 94,6, healthy CT (Article); GA (ENSEMBL) Candidate Region/Gene 20816691
    rs675 APOA4 0.05 58 vs 100 Italian Mean age 102,3 A (NCBI) Candidate Region/Gene 9622284
    rs429358, rs7412 APOE 0.009 1477 total Italian 18-109 e4 non-e4 - 16896546
    rs1008438 HSPA1A 0.009 894 total Italian 18-109 A C Candidate Region/Gene 16896546
    rs1008438 HSPA1A 0.02 894 total Italian 18-109 C A (applies to males) Candidate Region/Gene 16896546
    rs2430561 IFNG 0.02 174 vs 248 Italian >99 T (females) Candidate Region/Gene 11772518
    rs2229765 IGF1R 0.03 218 vs 278 Italian 98 AA or AG Candidate Region/Gene 12843179
    rs1805081 NPC1 0.007 152 vs 120 Polish >100 T C Candidate Region/Gene 18834923
    rs1631685 NPC1 0.026 152 vs 120 Polish >100 C T Candidate Region/Gene 18834923
    rs9282861 SULT1A1 0.017 68 vs 49 American, Caucasian 70-99 GG Candidate Region/Gene 9854023
    rs1764391 GJA4 0.0035 56 vs 196 (males) Italian >99 CC Candidate Region/Gene 16970956
    rs662 PON1 0.04 1265 vs 582 541 total Danish 93 R Q Candidate Region/Gene 15241482
    rs3814314 LMNA 0.017 873 vs 443 (initial) New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 (replication) American, Caucasian Mean age 101.5 Candidate Region/Gene 22340368
    rs11578696 LMNA 0.21 873 vs 443 (initial) New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 (replication) Mean age 101.5 Candidate Region/Gene 22340368
    rs4661146 LMNA 0.12 873 vs 443 (initial) New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 (replication) American, Caucasian Mean age 101.5 Candidate Region/Gene 22340368
    rs10737170 LMNA 0.11 873 vs 443 (initial) New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 (replication) American, Caucasian Mean age 101.5 Candidate Region/Gene 22340368
    rs915179 LMNA 0.014 873 vs 443 (initial) New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 (replication) American, Caucasian Mean age 101.5 Candidate Region/Gene 22340368

    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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