ADNI Full Genetic Sequences Now Available for Download
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DNA data miners, fire up your engines. The Alzheimer’s Disease Neuroimaging Initiative (ADNI) released whole genome sequences for 809 study participants on September 18. Data from the multimillion-dollar effort, which includes people with Alzheimer’s, people with mild cognitive impairment (MCI), and healthy controls, are available to investigators using the ADNI database.
“We are very excited,” said Robert Green of Brigham and Women’s Hospital in Boston, who heads ADNI’s sequencing working group. “The advantage of the sequence is that you have an opportunity to explore unique and rare variants that you would not see in single nucleotide polymorphism [SNP] studies.”
Between summer 2012 and spring 2013, ADNI completely sequenced DNA from 818 people: 128 with AD, 415 with MCI, 267 controls, and eight people whose variable symptoms over time led investigators to label them “uncertain diagnosis.” Any given DNA sequence in the database was read an average of 40 times, Green said.
Before releasing the data, the scientists put it through what Green called “rudimentary” quality control. They checked the integrity of the data and compared the sequences with previously identified single nucleotide polymorphisms from the subjects. The researchers have temporarily removed some sequences until they can double-check their quality, and omitted others because of concerns about patient consent, bringing the number of sequences released to date to 809.
Researchers registered with ADNI can obtain the data in two forms. They can acquire the near-200 terabytes (that is, 200 million megabytes) of raw sequence information by mail, since it is too much to download over the Internet, or, as many researchers will likely prefer, they can work with smaller, downloadable files that identify where each person’s genome differentiates from the norm, Green said. Users will be able to cross-reference the sequences with ADNI’s other data, such as brain images and biomarkers.
Thus far, the National Institute on Aging’s national genetics data repository has requested the data. Researchers can find out how to access ADNI’s sequences here. Green said ADNI itself has not yet commenced data analysis, and that plans were too early stage to discuss at present.—Amber Dance.
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Papers
- Weiner MW, Veitch DP, Aisen PS, Beckett LA, Cairns NJ, Green RC, Harvey D, Jack CR, Jagust W, Liu E, Morris JC, Petersen RC, Saykin AJ, Schmidt ME, Shaw L, Shen L, Siuciak JA, Soares H, Toga AW, Trojanowski JQ, . The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception. Alzheimers Dement. 2013 Sep;9(5):e111-94. PubMed.
- Nho K, Corneveaux JJ, Kim S, Lin H, Risacher SL, Shen L, Swaminathan S, Ramanan VK, Liu Y, Foroud T, Inlow MH, Siniard AL, Reiman RA, Aisen PS, Petersen RC, Green RC, Jack CR, Weiner MW, Baldwin CT, Lunetta K, Farrer LA, , Furney SJ, Lovestone S, Simmons A, Mecocci P, Vellas B, Tsolaki M, Kloszewska I, Soininen H, McDonald BC, Farlow MR, Ghetti B, Huentelman MJ, Saykin AJ. Whole-exome sequencing and imaging genetics identify functional variants for rate of change in hippocampal volume in mild cognitive impairment. Mol Psychiatry. 2013 Jul;18(7):781-7. PubMed.
- Gerstein MB, Kundaje A, Hariharan M, Landt SG, Yan KK, Cheng C, Mu XJ, Khurana E, Rozowsky J, Alexander R, Min R, Alves P, Abyzov A, Addleman N, Bhardwaj N, Boyle AP, Cayting P, Charos A, Chen DZ, Cheng Y, Clarke D, Eastman C, Euskirchen G, Frietze S, Fu Y, Gertz J, Grubert F, Harmanci A, Jain P, Kasowski M, Lacroute P, Leng J, Lian J, Monahan H, O'Geen H, Ouyang Z, Partridge EC, Patacsil D, Pauli F, Raha D, Ramirez L, Reddy TE, Reed B, Shi M, Slifer T, Wang J, Wu L, Yang X, Yip KY, Zilberman-Schapira G, Batzoglou S, Sidow A, Farnham PJ, Myers RM, Weissman SM, Snyder M. Architecture of the human regulatory network derived from ENCODE data. Nature. 2012 Sep 6;489(7414):91-100. PubMed.
- Cruts M, Theuns J, Van Broeckhoven C. Locus-specific mutation databases for neurodegenerative brain diseases. Hum Mutat. 2012 May 11; PubMed.
- Kauwe JS, Cruchaga C, Karch CM, Sadler B, Lee M, Mayo K, Latu W, Su'a M, Fagan AM, Holtzman DM, Morris JC, , Goate AM. Fine mapping of genetic variants in BIN1, CLU, CR1 and PICALM for association with cerebrospinal fluid biomarkers for Alzheimer's disease. PLoS One. 2011;6(2):e15918. PubMed.
- Kauwe JS, Wang J, Mayo K, Morris JC, Fagan AM, Holtzman DM, Goate AM. Alzheimer's disease risk variants show association with cerebrospinal fluid amyloid beta. Neurogenetics. 2009 Feb;10(1):13-7. Epub 2008 Sep 24 PubMed.
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