NIA Long Life Family Study (LLFS)

A meta-analysis of genome-wide association studies identifies multiple longevity genes

J. Deelen, Daniel S. Evans, D. Arking, et al.. (2019). Nature Communications. Cited 294 times. https://doi.org/10.1038/s41467-019-11558-2

Health and function of participants in the Long Life Family Study: A comparison with other cohorts

A. Newman, N. Glynn, Christopher Taylor, et al.. (2011). Aging (Albany NY). Cited 185 times. https://doi.org/10.18632/AGING.100242

A family longevity selection score: ranking sibships by their longevity, size, and availability for study.

P. Sebastiani, E. Hadley, M. Province, et al.. (2009). American journal of epidemiology. Cited 130 times. https://doi.org/10.1093/aje/kwp309

Families Enriched for Exceptional Longevity also have Increased Health-Span: Findings from the Long Life Family Study

P. Sebastiani, Fangui X. Sun, S. Andersen, et al.. (2013). Frontiers in Public Health. Cited 76 times. https://doi.org/10.3389/fpubh.2013.00038

Genome-Wide Association Study of Personality Traits in the Long Life Family Study

Harold Bae, Paola Sebastiani, Jenny X. Sun, et al.. (2013). Frontiers in Genetics. Cited 75 times. https://doi.org/10.3389/fgene.2013.00065

Small RNAome profiling from human skeletal muscle: novel miRNAs and their targets associated with cancer cachexia

Ashok Narasimhan, Sunita Ghosh, Cynthia Stretch, et al.. (2017). Journal of Cachexia, Sarcopenia and Muscle. Cited 74 times. https://doi.org/10.1002/jcsm.12168

Genome wide association and linkage analyses identified three loci—4q25, 17q23.2, and 10q11.21—associated with variation in leukocyte telomere length: the Long Life Family Study

Joseph H. Lee, R. Cheng, L. Honig, et al.. (2014). Frontiers in Genetics. Cited 66 times. https://doi.org/10.3389/fgene.2013.00310

Extended maternal age at birth of last child and women’s longevity in the Long Life Family Study

Fangui X. Sun, P. Sebastiani, N. Schupf, et al.. (2015). Menopause. Cited 48 times. https://doi.org/10.1097/GME.0000000000000276

Age and Sex Distributions of Age‐Related Biomarker Values in Healthy Older Adults from the Long Life Family Study

P. Sebastiani, B. Thyagarajan, Fangui X. Sun, et al.. (2016). Journal of the American Geriatrics Society. Cited 47 times. https://doi.org/10.1111/jgs.14522

Epidemiology of Perceived Physical Fatigability in Older Adults: The Long Life Family Study.

K. LaSorda, T. Gmelin, A. Kuipers, et al.. (2019). The journals of gerontology. Series A, Biological sciences and medical sciences. Cited 40 times. https://doi.org/10.1093/gerona/glz288

Cognitive function in families with exceptional survival

S. Barral, Stephanie Cosentino, R. Costa, et al.. (2012). Neurobiology of Aging. Cited 28 times. https://doi.org/10.1016/j.neurobiolaging.2011.02.004

Protective role of the apolipoprotein E2 allele in age-related disease traits and survival: evidence from the Long Life Family Study

A. Kulminski, N. Raghavachari, K. Arbeev, et al.. (2016). Biogerontology. Cited 27 times. https://doi.org/10.1007/s10522-016-9659-3

Genome-wide association study identifies common loci influencing circulating glycated hemoglobin (HbA1c) levels in non-diabetic subjects: the Long Life Family Study (LLFS).

P. An, I. Miljkovic, B. Thyagarajan, et al.. (2014). Metabolism: clinical and experimental. Cited 26 times. https://doi.org/10.1016/j.metabol.2013.11.018

The Survival of Spouses Marrying Into Longevity-Enriched Families

J. Pedersen, I. Elo, N. Schupf, et al.. (2017). Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences. Cited 22 times. https://doi.org/10.1093/gerona/glw159

“Predicting” parental longevity from offspring endophenotypes: Data from the Long Life Family Study (LLFS)

A. Yashin, K. Arbeev, A. Kulminski, et al.. (2010). Mechanisms of Ageing and Development. Cited 21 times. https://doi.org/10.1016/j.mad.2010.02.001

Candidate gene resequencing to identify rare, pedigree-specific variants influencing healthy aging phenotypes in the long life family study

T. Druley, Lihua Wang, Shiow J. Lin, et al.. (2016). BMC Geriatrics. Cited 19 times. https://doi.org/10.1186/s12877-016-0253-y

Genetic analysis of long-lived families reveals novel variants influencing high density-lipoprotein cholesterol

M. Feitosa, M. Wojczynski, R. Straka, et al.. (2014). Frontiers in Genetics. Cited 18 times. https://doi.org/10.3389/fgene.2014.00159

Genome-Wide Association Study and Linkage Analysis of the Healthy Aging Index.

R. Minster, J. Sanders, Jatinder Singh, et al.. (2015). The journals of gerontology. Series A, Biological sciences and medical sciences. Cited 18 times. https://doi.org/10.1093/gerona/glv006

The APOE ε4 allele is associated with a reduction in FEV1/FVC in women: A cross-sectional analysis of the Long Life Family Study

A. Kulminski, Amisha V. Barochia, Yury Loika, et al.. (2018). PLoS ONE. Cited 15 times. https://doi.org/10.1371/journal.pone.0206873

Heterogeneity of healthy aging: comparing long-lived families across five healthy aging phenotypes of blood pressure, memory, pulmonary function, grip strength, and metabolism

M. Marron, M. Wojczynski, R. Minster, et al.. (2019). GeroScience. Cited 14 times. https://doi.org/10.1007/s11357-019-00086-y

Gene discovery for high-density lipoprotein cholesterol level change over time in prospective family studies.

M. Feitosa, K. Lunetta, Lihua Wang, et al.. (2020). Atherosclerosis. Cited 12 times. https://doi.org/10.1016/j.atherosclerosis.2020.02.005

Common genetic variants on 6q24 associated with exceptional episodic memory performance in the elderly.

S. Barral, Stephanie Cosentino, K. Christensen, et al.. (2014). JAMA neurology. Cited 12 times. https://doi.org/10.1001/jamaneurol.2014.1663

Genetic variants associated with lung function: the long life family study

B. Thyagarajan, M. Wojczynski, R. Minster, et al.. (2014). Respiratory Research. Cited 11 times. https://doi.org/10.1186/s12931-014-0134-x

Leukocyte Telomere Length Is Unrelated to Cognitive Performance Among Non-Demented and Demented Persons: An Examination of Long Life Family Study Participants

Adiba Ashrafi, Stephanie Cosentino, M. Kang, et al.. (2020). Journal of the International Neuropsychological Society. Cited 9 times. https://doi.org/10.1017/S1355617720000363

Genomewide Association Scan of a Mortality Associated Endophenotype for a Long and Healthy Life in the Long Life Family Study

Jatinder Singh, R. Minster, N. Schupf, et al.. (2017). Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences. Cited 8 times. https://doi.org/10.1093/gerona/glx011

Composite Measure of Physiological Dysregulation as a Predictor of Mortality: The Long Life Family Study

K. Arbeev, Olivia Bagley, S. Ukraintseva, et al.. (2020). Frontiers in Public Health. Cited 7 times. https://doi.org/10.3389/fpubh.2020.00056

A novel healthy metabolic phenotype developed among a cohort of families enriched for longevity.

M. Marron, I. Miljkovic, R. Boudreau, et al.. (2019). Metabolism: clinical and experimental. Cited 7 times. https://doi.org/10.1016/j.metabol.2019.01.010

A novel healthy blood pressure phenotype in the Long Life Family Study

M. Marron, Jatinder Singh, R. Boudreau, et al.. (2018). Journal of Hypertension. Cited 7 times. https://doi.org/10.1097/HJH.0000000000001514

Genome-wide linkage analysis of carotid artery traits in exceptionally long-lived families.

A. Kuipers, M. Wojczynski, E. Barinas-Mitchell, et al.. (2019). Atherosclerosis. Cited 5 times. https://doi.org/10.1016/j.atherosclerosis.2019.10.008

Prevalence, Incidence and Risk Factors for Overall, Physical and Cognitive Independence among those from exceptionally long-lived families: The Long Life Family Study.

Adam J Santanasto, M. Marron, R. Boudreau, et al.. (2019). The journals of gerontology. Series A, Biological sciences and medical sciences. Cited 5 times. https://doi.org/10.1093/gerona/glz124

Prevalence of clinically actionable disease variants in exceptionally long-lived families

Paige S. Carlson, M. Wojczynski, T. Druley, et al.. (2020). BMC Medical Genomics. Cited 4 times. https://doi.org/10.1186/s12920-020-0710-5