Summary: Researchers have implicated TOMM40, a gene adjacent to APOE on chromosome 19, in the development of Alzheimer’s disease. TOMM40, researchers report, plays a significant role in the decline of verbal learning after the age of 60.
The notorious genetic marker of Alzheimer’s disease and other forms of dementia, ApoE4, may not be a lone wolf.
The notorious genetic marker of Alzheimer’s disease and other forms of dementia, ApoE4, may not be a lone wolf.
Researchers from USC and The University of Manchester have found that another gene, TOMM40, complicates the picture. Although ApoE4 plays a greater role in some types of aging-related memory ability, the researchers believe that TOMM40 may pose an even greater risk for other types.
TOMM40 and APOE genes are neighbors, adjacent to each other on chromosome 19, and they are sometimes used as proxies for one another in genetic studies. At times, scientific research has focused chiefly on one APOE variant, ApoE4, as the No. 1 suspect behind Alzheimer’s and dementia-related memory decline. The literature also considers the more common variant of APOE, ApoE3, neutral in risk for Alzheimer’s.
USC researchers believe their new findings raise a significant research question: Has TOMM40 been misunderstood as a sidekick to ApoE4 when it is really a mastermind, particularly when ApoE3 is present?
“Typically, ApoE4 has been considered the strongest known genetic risk factor for cognitive decline, memory decline, Alzheimer’s disease or dementia-related onset,” said T. Em Arpawong, the study’s lead author and a postdoctoral fellow in the USC Dornsife College of Letters, Arts and Sciences’ Department of Psychology.
“Although prior studies have found some variants of this other gene TOMM40 may heighten the risk for Alzheimer’s disease, our study found that a TOMM40 variant was actually more influential than ApoE4 on the decline in immediate memory — the ability to hold onto new information,” Arpawong explained.
Studies have shown that the influence of genes associated with memory and cognitive decline intensifies with age. That is why the scientists chose to examine immediate and delayed verbal test results over time in conjunction with genetic markers.
“An example of immediate recall is someone tells you a series of directions to get somewhere and you’re able to repeat them back,” said Carol A. Prescott, the paper’s senior author and professor of psychology at USC Dornsife and professor of gerontology at the USC Davis School of Gerontology. “Delayed recall is being able to remember those directions a few minutes later, as you’re on your way.”
The study was published in the journal PLOS ONE on Aug. 11.
Tracking memory loss
The team of researchers from USC and The University of Manchester used data from two surveys: the U.S. Health and Retirement Study and the English Longitudinal Study of Ageing. Both data sets are nationally representative samples and include results of verbal memory testing and genetic testing.
The research team used verbal test results from the U.S. Health and Retirement Survey, collected from 1996 to 2012, which interviewed participants via phone every two years. The researchers utilized the verbal memory test scores of 20,650 participants, aged 50 and older who were tested repeatedly to study how their memory changed over time.
To test immediate recall, an interviewer read a list of 10 nouns and then asked the participant to repeat the words back immediately. For delayed recall, the interviewer waited five minutes and then asked the participant to recall the list. Test scores ranged from 0 to 10.
The average score for immediate recall was 5.7 words out of 10, and the delayed recall scoring average was 4.5 words out of 10. A large gap between the two sets of scores can signal the development of Alzheimer’s or some other form of dementia.
“There is usually a drop-off in scores between the immediate and the delayed recall tests,” Prescott said. “In evaluating memory decline, it is important to look at both types of memory and the difference between them. You would be more worried about a person who has scores of 10 and 5 than a person with scores of 6 and 4.”
The first person is worrisome because five minutes after reciting the 10 words perfectly, he or she can recall only half of them, Prescott said. The other person wasn’t perfect on the immediate recall test, but five minutes later, was able to remember a greater proportion of words.
To prevent bias in the study’s results, the researchers excluded participants who reported that they had received a likely diagnosis of dementia or a dementia-like condition, such as Alzheimer’s. They also focused on participants identified as primarily European in heritage to minimize population bias. Results were adjusted for age and sex.
One key innovation of the study is that the researchers used statistical methods to create scores that represent level and decline in delayed recall, separate from level and decline in immediate recall from the repeated assessments of memory. Most of the prior studies have used a total sum score for the two, a score from a single time-point or combined recall scores with other measures of cognition to investigate overall cognitive decline. By separating these components of recall, researchers had a better chance of detecting and explaining how genes affect each of these abilities differently.
The researchers compared the U.S. data to the results of an independent replication sample of participants, age 50 and up, in the English Longitudinal Study of Aging from 2002 to 2012. Interviews and tests were conducted every two years.
Genetic markers for memory
To investigate whether genes associated with immediate and delayed recall abilities, researchers used genetic data from 7,486 participants in the U.S. Health and Retirement Study and 6,898 participants in the English Longitudinal Study of Ageing.
The researchers examined the association between the immediate and delayed recall results with 1.2 million gene variations across the human genome. Only one, TOMM40, had a strong link to declines in immediate recall and level of delayed recall. ApoE4 also was linked but not as strongly.
“Our findings indicate that TOMM40 plays a larger role, specifically, in the decline of verbal learning after age 60,” the scientists wrote. “Further, our analyses showed that there are unique effects of TOMM40 beyond ApoE4 effects on both the level of delayed recall prior to age 60 and decline in immediate recall after 60.”
Unlike ApoE4, the ApoE3 variant is generally thought to have no influence on Alzheimer’s disease or memory decline. However, the team of scientists found that adults who had ApoE3 and a risk variant of TOMM40 were more likely to have lower memory scores. The finding suggests that TOMM40 affects memory — even when ApoE4 is not a factor.
The team suggested that scientists should further examine the association between ApoE3 and TOMM40 variants and their combined influence on decline in different types of learning and memory.
“Other studies may not have detected the effects of TOMM40,” Prescott said. “The results from this study provide more evidence that the causes of memory decline are even more complicated than we thought before, and they raise the question of how many findings in other studies have been attributed to ApoE4 that may be due to TOMM40 or a combination of TOMM40 and ApoE4.”
About this neuroscience research article
Other study co-authors from USC were John J. McArdle (USC Dornsife and USC Davis School); Margaret Gatz (USC Dornsife, USC Davis School and Keck School of Medicine of USC); Chris Armoskus (Zilkha Neurogenetics Institute, Keck School of Medicine) and James A. Knowles (formerly of the Keck School of Medicine, now at the State University of New York Downstate Medical Center). Co-authors from the University of Manchester were Neil Pendleton and Krisztina Mekli.
Funding: Ninety percent of the data analysis for the study was covered by a National Institute on Aging grant (F32-AG-048681) of $158,374 to Arpawong and an National Institute on Aging pilot award (P30-AG-017265) of $24,970 from the USC/UCLA Center on Biodemography and Population Health. The remaining support for the data analysis was covered by funds from USC and The University of Manchester.
Source: Emily Gersema – USC
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Original Research: Full open access research for “Genetic variants specific to aging-related verbal memory: Insights from GWASs in a population-based cohort” by Thalida E. Arpawong, Neil Pendleton, Krisztina Mekli, John J. McArdle, Margaret Gatz, Chris Armoskus, James A. Knowles, Carol A. Prescott in PLOS ONE. Published online August 11 2017 doi:10.1371/journal.pone.0182448
Cite This NeuroscienceNews.com Article
USC “Which Genetic Marker Is the Ring Leader in the Onset of Alzheimer’s Disease?.” NeuroscienceNews. NeuroscienceNews, 4 September 2017.
USC (2017, September 4). Which Genetic Marker Is the Ring Leader in the Onset of Alzheimer’s Disease?. NeuroscienceNew. Retrieved September 4, 2017 from http://neurosciencenews.com/genetic-marker-alzheimers-7411/
USC “Which Genetic Marker Is the Ring Leader in the Onset of Alzheimer’s Disease?.” http://neurosciencenews.com/genetic-marker-alzheimers-7411/ (accessed September 4, 2017).
Genetic variants specific to aging-related verbal memory: Insights from GWASs in a population-based cohort
Verbal memory is typically studied using immediate recall (IR) and delayed recall (DR) scores, although DR is dependent on IR capability. Separating these components may be useful for deciphering the genetic variation in age-related memory abilities. This study was conducted to (a) construct individual trajectories in IR and independent aspects of delayed recall, or residualized-DR (rDR), across older adulthood; and (b) identify genetic markers that contribute to four estimated phenotypes: IR and rDR levels and changes after age 60. A cognitively intact sample (N = 20,650 with 125,164 observations) was drawn from the U.S. Health and Retirement Study, a nationally representative study of adults aged 50 and older. Mixed effects regression models were constructed using repeated measures from data collected every two years (1996–2012) to estimate level at age 60 and change in memory post-60 in IR and rDR. Genome-wide association scans (GWAS) were conducted in the genotypic subsample (N = 7,486) using ~1.2 million single nucleotide polymorphisms (SNPs). One SNP (rs2075650) in TOMM40 associated with rDR level at the genome-wide level (p = 5.0×10-08), an effect that replicated in an independent sample from the English Longitudinal Study on Ageing (N = 6,898 with 41,328 observations). Meta-analysis of rDR level confirmed the association (p = 5.0×10-11) and identified two others in TOMM40 (rs71352238 p = 1.0×10-10; rs157582 p = 7.0×10-09), and one in APOE (rs769449 p = 3.1 x10-12). Meta-analysis of IR change identified associations with three of the same SNPs in TOMM40 (rs157582 p = 8.3×10-10; rs71352238 p = 1.9×10-09) and APOE (rs769449 p = 2.2×10-08). Conditional analyses indicate GWAS signals on rDR level were driven by APOE, whereas signals on IR change were driven by TOMM40. Additionally, we found that TOMM40 had effects independent of APOE e4 on both phenotypes. Findings from this first U.S. population-based GWAS study conducted on both age-related immediate and delayed verbal memory merit continued examination in other samples and additional measures of verbal memory.
“Genetic variants specific to aging-related verbal memory: Insights from GWASs in a population-based cohort” by Thalida E. Arpawong, Neil Pendleton, Krisztina Mekli, John J. McArdle, Margaret Gatz, Chris Armoskus, James A. Knowles, Carol A. Prescott in PLOS ONE. Published online August 11 2017 doi:10.1371/journal.pone.0182448
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