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.):


  • Variant type: + -

  • 1 2 3 4 5 6 7 8 9 10 11 12
    13 14 15 16 17 18 19 20 21 X Y MT
    Export results (Download)

    Populations | Study Types | Variant Types



    LVDB_word_cloud.png
    logo.png
    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs4673651 ERBB4 6.08e-06 1364 American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs2287047 IL1R1 1.08 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 A Genome-Wide Association Study 21782286
    rs10496799 NXPH2 1.4e-05 1345 cohort + 1087 offspring American Genome-Wide Association Study 17903295
    rs7583529 CFLAR 3.15 6.45e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs4505466 SH3BP4 2.06 8.31e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs10194564 Intergenic (upstream of LRP1B) 1.55 8.88e-05 403 vs 1670 3746 vs 5912 Dutch Mean age 94 A Genome-Wide Association Study 21418511
    rs10190125 MYT1L 1.24 0.000168452 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1898422 LRP1B 1.36 0.000323698 801 vs 914 Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs6732163 BRE 1.29 0.000460236 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    XRCC5 120 bp 5` (GAPyA)n STR 0.0005 430 (case) vs 290 British Mean 70 16+2 15 Candidate Region/Gene 16518718
    SI000565Q APOB 0.0005 191 (case) vs 53 (initial) Chinese > 90 baseline, Mean age 97 +/- 3 Short Long Candidate Region/Gene 17393087
    rs4541274 CTNNA2 1.19 0.000704007 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs4952085 XDH 1.25 0.000933537 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    K153R MSTN 3.48 0.001 156 vs 384 79 vs 316 Italian, Spaniard 100–111 K Candidate Region/Gene 23354683
    K153R MSTN 3.48 0.001 156 vs 384 79 vs 316 (unelated Italian cohort) Spaniard Range : 100-111 K R Candidate Region/Gene 23354683
    SI000565Q APOB 0.001 191 (case) vs 53 Chinese > 90 baseline, Mean age 97 +/- 3 LL Candidate Region/Gene 17393087
    rs11279109 - APOB XbaI APOB 0.001 191 (case) vs 53 (initial) Chinese > 90 baseline, Mean age 97 +/- 3 D - X+ Candidate Region/Gene 17393087
    rs723525 CTNNA2 1.18 0.001006991 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs3769583 FLJ20272 1.31 0.001342643 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    VNTR (Variable Number of Tandem Repeats) APOB 0.003 143 vs 158 Italian mean age is 102 years 35 or more tandem repeats Candidate Region/Gene 9050915
    APOB XbaI − SI000565Q APOB 0.006 191 (case) vs 53 (initial) Chinese > 90 baseline, Mean age 97 +/- 3 X+ - Short X+ - Medium Candidate Region/Gene 17393087
    rs432203 TGFA 0.00779 1173 vs 570 American 85-100 C Genome-Wide Association Study 22533364
    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
    XbaI APOB 1.30 0.03 191 (case) vs 53 Chinese > 90 baseline, Mean age 97 +/- 3 X+X+ Candidate Region/Gene 17393087
    rs6166 FSHR 4.21 0.036 114 vs 173 Italian >/=90 Asn Ser Candidate Region/Gene 22985084
    • Page 1 of 2
    • 25 of 40 variants

    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


    Suggest a new study Report a database issue