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Longevity DB
Genetic variants implicated in human longevity.
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African European
Australian
Canadian
English People
Finn
Georgian
Human
Israeli
Multiethnic
Pomeranian
Sichuan
Spanish
Terraner
Age, Gene/Environment Susceptibility -Reykjavik Study Cohort (Island)
American
African American
American (Caucasian)
Amish
Atherosclerosis Risk Communities Study Cohort
Baltimore Longitudinal Study of Ageing Cohort
Cardiovascular Health Study Cohort
Caucasians (USA)
CHS (USA)
Framingham Heart Study Cohort
Framingham Heart Offspring Study Cohort
Gaucha population (Native South American)
Gerorgia (US)
New England American
North American
Mexican
Mexican Mestizo (see notes)
Study of Osteoporotic Fractures Cohort
The Health, Aging and Body Composition (USA)
US North European
USA (Black and European)
USA (Casucasians)
USA (Framington Heart Study)
Arab
Israelis
Nigerian
Tunisian
Turkish
Asian
Chinese
Bama Chinese
Chuang Chinese
Dujiangyan Han Chinese
Guangxi Bama Chinese
Han
Kahzak
Northern Chinese
Shanghai Chinese
Shenyang Chinese
Southern Chinese
Uyghur
Xinjiang Hetian Uyghur
Zhuang
Bama Zhuang
Japanese
Okinawan
Tokyo Japanese
Korean
Australian (Caucasian)
Australian centenarians of Caucasian ancestry
Brazilian
Gaucha Brazilian
Caucasian
Caucasian (NECS cohort)
Caucasian north
mostly Caucasian
European
African/European
British
English
Central European
Polish
Croatian
Danish
Dutch
Leiden Population
Rotterdam Population
Eastern European
European and Caucasian (many different european countries)
European Caucasian (Portuguese
European-origin (Caucasian)
French
German
Study of Health in Pomerania (Germany)
Greek
Irish
Belfast Irish
Northern Irish
Italian
Calabrian
Central Italian
Continental Italian
Invecchiare nel Chianti Cohort
Northeastern Italian
Northern Italian
Lombardy region Northern Italian
Northerncentral Italian
Sardinian
Southern Italian
Apulian
Calabrian
Northern European
Finns
Southern Finns
Tampere Population
Scottish
Southeastern Europe
Bulgarian
Southern European
Swiss
Western European
Spaniard
Caucasian Spanish
Caucasians from the city of Lleida in northeast Spain
Northern Spaniard
Spanish Combined: Pyrenees and Ebro’s Valley
Swedish
White European
Female
Caucasian Women
Georgia
Hispanic
Jewish
Ashkenazi Jewish
European-American Ashkenazi Jewish
Jordanian
Louisiana
Male
Mixed
Mixed Non-Hisp White
Slavs
Soviet
Russian
St. Petersburg Russian
Tatar
Tartarish
Population:
+
-
Chinese «
Study type:
+
-
Candidate Region/Gene «
Variant type:
+
-
SNP (30)
Locus (2)
Haplotype (11)
STR (5)
Deletion (1)
Variant effect:
+
-
Longevity‑Associated (34)
No Age Effect (33)
polymorphism
factor
odds ratio
pvalue
initial number
replication number
Population
age of cases
shorter lived allele
longer lived allele
study type
reference
5178 adenine/cytosine
ND2
—
0.363
95 vs 298
—
Chinese
76.2±5.0
C
—
Candidate Region/Gene
12384792
rs4646994
ACE
—
0.05
4000
—
Chinese
Minimum age 65
DD
—
Candidate Region/Gene
22456784
mt5178A
ND2
—
0.05
95 vs 105
—
Chinese
Mean age 76
—
АА
Candidate Region/Gene
12384792
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
VNTR
DC-SIGNR
—
0.041
361 vs 342
—
Chinese
>90
non-6/7 genotype
6/7 genotype
Candidate Region/Gene
20003397
rs189037
ATM
—
0.004
875 vs 886
—
Chinese
mean 94.6
—
CT
Candidate Region/Gene
20816691
microsatellite polymorphism surrounded by rs2288377, rs5742612, and rs35767
IGF1
—
0.922
493 vs 425
—
Chinese
(females ≥ 94; males ≥ 90
—
—
Candidate Region/Gene
20199671
rs429358 + rs7412
APOE
—
0.04
1236 vs 326
—
Chinese
60+
e4
non-e4
Candidate Region/Gene
9792194
rs2288377
IGF1
—
1.0
485 vs 392
—
Chinese
94.92
—
—
Candidate Region/Gene
18761080
rs5742612
IGF1
—
1.0
485 vs 392
—
Chinese
94.92
—
—
Candidate Region/Gene
18761080
rs35767
IGF1
—
1.0
485 vs 392
—
Chinese
94.92
—
—
Candidate Region/Gene
18761080
rs17630266
FOXO1
—
1.0
761 vs 1056
350 vs 350
Chinese
mean age 102.3
—
—
Candidate Region/Gene
19793722
rs4646994
ACE
—
0.849
399 vs 302
—
Chinese
>90 years
—
—
Candidate Region/Gene
19502260
rs740746
ADRB1
—
0.556
384 vs 384
579 vs 644
Chinese
Mean age 102.1±0.20
—
—
Candidate Region/Gene
23020224
rs2053044
ADRB2
—
0.138
384 vs 384
579 vs 644
Chinese
Mean age 102.1±0.20
—
—
Candidate Region/Gene
23020224
rs1042713
ADRB2
—
0.149
384 vs 384
579 vs 644
Chinese
Mean age 102.1±0.20
—
—
Candidate Region/Gene
23020224
rs2877709
ADCY5
—
0.767
384 vs 384
579 vs 644
Chinese
Mean age 102.1±0.20
—
—
Candidate Region/Gene
23020224
rs1042714
ADRB2
—
0.558
384 vs 384
579 vs 644
Chinese
Mean age 102.1±0.20
—
—
Candidate Region/Gene
23020224
rs9861425
ADCY5
—
0.251
384 vs 384
579 vs 644
Chinese
Mean age 102.1±0.20
—
—
Candidate Region/Gene
23020224
rs9844212
ADCY5
—
0.901
384 vs 384
579 vs 644
Chinese
Mean age 102.1±0.20
—
—
Candidate Region/Gene
23020224
rs4677882
ADCY5
—
0.999
384 vs 384
579 vs 644
Chinese
Mean age 102.1±0.20
—
—
Candidate Region/Gene
23020224
rs4482616
ADCY5
—
0.398
384 vs 384
579 vs 644
Chinese
Mean age 102.1±0.20
—
—
Candidate Region/Gene
23020224
rs2291727
ADCY6
—
0.003
384 vs 384
579 vs 644
Chinese
Mean age 102.1±0.20
—
—
Candidate Region/Gene
23020224
rs5749998
MAPK1
—
0.152
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
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25 of 70 variants
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