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
    rs14576 GALNTL2 0.93 6.54e-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
    ApaI IGF2 0.063 224 vs 441 Ashkenazi Jewish 75 G A Candidate Region/Gene 15621215
    rs1834497 CLSTN2 0.00979 1173 vs 570 American 85-100 A Genome-Wide Association Study 22533364
    rs1801282 PPARG 0.035 222 vs 250 Caucasian 86 to 109; median age 99 G Candidate Region/Gene 15236769
    rs964403 SUMF1 2.07 4.91e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs3864051 SUMF1 2.07 5.49e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs712773 GRM7 0.66 9.99e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs513154 IMPG2 0.52 4.65e-06 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs571391 IMPG2 0.55 2.67e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs572169 GHSR 0.72 0.0045 1089 vs 736 1613 vs 1104 Danish 92-93 years old A G Candidate Region/Gene 22406557
    rs572169 GHSR 0.72 0.0045 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2 A Candidate Region/Gene 22406557
    rs26802 GHRL 2.34 0.032 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 Candidate Region/Gene 22406557
    rs13320360 MLH1 3.13 0.0036 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 Candidate Region/Gene 22406557
    (+)2019 del ADIPOQ10 0.05 118 centenarians vs 78 unrelated young Ashkenazi Jewish 95-105 A Del/Del Candidate Region/Gene 18511746
    rs422858 AGTR1 3.57 0.007 173 vs 376 Italian 99-106 (mean 100.9±1.7) AG CC Candidate Region/Gene 22569962
    rs275653 AGTR1 3.57 0.007 173 vs 376 598 vs 422 Italian 99-106 (mean 100.9±1.7) A G Candidate Region/Gene 22569962
    rs5182 AGTR1 0.97 1.0 173 vs 376 Italian 99-106 (mean 100.9±1.7) Candidate Region/Gene 22569962
    rs12721225 AGTR1 0.37 0.929 173 vs 376 Italian 99-106 (mean 100.9±1.7) Candidate Region/Gene 22569962
    rs5183 AGTR1 0.27 1.0 173 vs 376 Italian 99-106 (mean 100.9±1.7) Candidate Region/Gene 22569962
    rs5186 AGTR1 1.15 0.875 173 vs 376 Italian 99-106 (mean 100.9±1.7) Candidate Region/Gene 22569962
    rs5189 AGTR1 0.75 0.945 173 vs 376 Italian 99-106 (mean 100.9±1.7) Candidate Region/Gene 22569962
    rs1801282 PPARG 0.13 0.03 114 vs 173 Italian >/=90 Pro/Ala Pro/Pro, Ala/Ala Candidate Region/Gene 22985084
    rs3210458 ACPL2 1.52e-05 1364 American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs7622678 BDH1 1.93e-05 1364 American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs17047650 FAM19A1 3.19e-05 1364 American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    • Page 1 of 3
    • 25 of 53 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