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
    rs4936894 VWA5A 1.11 3.38e-07 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
    rs739401 CARS 0.00154 1173 vs 570 American 85-100 C Genome-Wide Association Study 22533364
    rs1815739 ACTN3 1.03 0.1 59 vs 283 Caucasian, Spaniard centenarians (aged 100–108 years) Candidate Region/Gene 21407828
    - TH 0.045 202 vs 170 vs 82 Italian 100-105 (oldest of 3 age groups, see notes) Candidate Region/Gene 11053670
    apoAIV(360:His) APOA4 0.005 119 (see notes) vs 264 French 74.29 ∓ 8.46 ApoAIV-1_x000D_, by the order of the sentence - I'm assuming it's Glutamine = G Candidate Region/Gene 9533408
    rs7952321 OR5AS1 4.68e-05 1364 American, British Age range 50-108; mean age at death 80.2 T G Genome-Wide Association Study 22445811
    rs7103504 CNTN5 4.39e-05 1364 American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs680109 GRIA4 2.52e-05 1364 American, British Age range 50-108; mean age at death 80.2 C A Genome-Wide Association Study 22445811
    rs3851179 PICALM 0.227 1364 American, British Age range 50-108; mean age at death 80.2 G A Candidate Region/Gene 22445811
    rs610932 MS4A6A 0.176 1364 American, British Age range 50-108; mean age at death 80.2 C A Candidate Region/Gene 22445811
    length (STR polymorphism) TH 1.0 196 vs 358 471 vs 462 German (in replication) 96-110 years Candidate Region/Gene 21407269
    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
    rs189037 ATM 0.004 875 vs 886 Chinese mean 94.6 CT Candidate Region/Gene 20816691
    rs11039149 NR1H3 0.015 599 Dutch 85 years haplotype 1 haplotype 2 Candidate Region/Gene 17452725
    rs2509049 H2AFX 0.63 0.017 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
    rs3842755 INS 1.79 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2 C Candidate Region/Gene 22406557
    rs3842755 INS 1.79 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old C A Candidate Region/Gene 22406557
    rs507879 CASP5 1.4e-05 510 vs 549 Russian 75–103 AG AA, GG Candidate Region/Gene 20434535
    rs4938180 IGSF4 1.91 2.16e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs2073586 ABCC8 0.48 8.15e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs3781907 UCP3 0.05 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) Danish 93 G Candidate Region/Gene 22743239
    rs11235972 UCP3 0.029 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) Danish 93 A Candidate Region/Gene 22743239
    rs647126 UCP3 0.447 908 vs 708 Danish 93 Candidate Region/Gene 22743239
    rs3781907 UCP3 0.05 908 vs 708 Danish 93 G Candidate Region/Gene 22743239
    rs1685354 UCP3 0.762 908 vs 708 Danish 93 Candidate Region/Gene 22743239
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    • 25 of 81 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


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