Comparison and identification of attribute similarity based on genetic markers (2024)

Teo, et al., “Singapore Genome Variation Project: A haplotype map of three Southeast Asian populations” Genome Res. 19, (2009) pp. 2154-2162.
The International HapMap Consortium, “A haplotype map of the human genome” vol. 437, Oct. 27, 2005, pp. 1300-1320. doi:10.1038/nature04226.
The International HapMap Consortium, “A second generation human haplotype map of over 3.1 million SNPs,” Nature, vol. 449, Oct. 18, 2007, pp. 851-860.

.
Thomas, Alun, Nicola J. Camp, James M. Farnham, Kristina Allen-Brady, and Lisa A Cannon-Albright, “Shared genomic segment analysis: Mapping disease predisposition genes in extended pedigrees using SNP genotype assays”, Annals of human genetics 72, No. 2 (2008): 279-287.
Thomas, et al., “Genomic mismatch scanning in pedigrees” IMA Journal of Mathematics Applied in Medicine and Biology, vol. 11, (1994) pp. 1-16.
Thomas, et al., “Multilocus linkage analysis by blocked Gibbs sampling” Statistics and Computing, vol. 10, (2000), pp. 259-269.
Thompson, E.A., “Estimation of relationships from genetic data”, Handbook of statistics 8 (1991), pp. 255-269.
Thompson, E.A., “Inference of genealogical structure” Soc. Sci. Inform. 15, (1976) pp. 477-526.
Thompson, E.A., “The estimation of pairwise relationships” Ann. Hum. Genet., Lond. 39, (1975) pp. 173-188.
Thompson, et al., “The IBD process along four chromosomes,” Theor. Popul. Biol. May 73(3) May 2008, pp. 369-373.
Tishkoff, et al., “The Genetic Structure and History of Africans and African Americans,” Science, vol. 324(5930), May 22, 2009, pp. 1035-1044. doi:10.1126/science.1172257.
Todorov, et al., “Probabilities of identity-by-descent patterns in sibships when the parents are not genotyped” Genet. Epidemiol. 14 (1997) pp. 909-913.
Transcript of Proceedings dated Jun. 29, 2018, Case No. 18-cv-02791-JCS, Re Defendant's Motion to Dismiss, heard in the United States District Court in and for the Northern District of California LLC, in the matter of 23andMe, Inc. v. Ancestry.com DNA, LLC, Ancestry.com Operations Inc., and Ancestry.com.
Trial Investigators, et al., “DREAM (Diabetes Reduction Assessment with ramipril and rosilglitazone Medication)—Effect of rosiglitazone on the frequency of diabetes in patients with impaired glucose tolerance or impaired fasting glucose: a randomised controlled trial,” Lancet 368, (2006) pp. 1096-1105.
Tu, et al., “The maximum of a function of a Markov chain and application to linkage analysis” Adv. Appl. Probab. 31, (1999) pp. 510-531.
Tuomilehto, J. et al., “Prevention of Type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance”, N. Engl. J. Med. 344:18, May 3, 2001, pp. 1343-1350.
Tzeng, et al., “Determination of sibship by PCR-amplified short tandem repeat analysis in Taiwan” Transfusion 40, (2000) pp. 840-845.
U.S. Appl. No. 60/895,236, filed Mar. 16, 2007.
U.S. Appl. No. 60/999,064, filed Oct. 10, 2007.
U.S. Appl. No. 60/999,065, filed Oct. 15, 2007.
U.S. Appl. No. 60/999,148, filed Oct. 10, 2007.
U.S. Appl. No. 60/999,175, filed Oct. 15, 2007.
U.S. Appl. No. 61/070,321, filed Mar. 19, 2008.
Valente E.M. et al., “Hereditary early-0nset Parkinson's disease caused by mutations in PINK1” Science 304 (2004), pp. 1158-1160.
Van De Casteele, et al., “A comparison of microsatellite-based pairwise relatedness estimators” Molecular Ecology 10, (2001) pp. 1539-1549.
Vrbsky, S.V. & Liu, J.W.S. “Approximate—A Query Processor That Produces Monotonically Improving Approximate Answers.” IEEE Transactions on Knowledge and Data Engineering 5, 1056-1068 (1993).
Wagner, S.F.,“Introduction to Statistics, Harper Collins Publishers”, 1992, pp. 23-30.
Wang, et al., “An estimator of pairwise relatedness using molecular markers” Genetics, vol. 160 (2002) pp. 1203-1215.
Wang, et al., “An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data,” Genome Res. 17, 2007, pp. 665-1674.
Wannamethee, S.G. et al. “Metabolic syndrome vs Framingham Risk Score for prediction of coronary heart disease, stroke, and type 2 diabetes mellitus”, Arch. Intern. Med. 2005;165, pp. 2644-2650.
Weir, et al., “Allelic association patterns for a dense SNP map” Genetic Epidemiology 24, (2004) pp. 442-450.
Weir, et al., “Behavior of pairs of loci in finite monoecious populations” Theor. Popul. Biol. 6 (1974) pp. 323-354.
Weir, et al., “Estimating F-statistics” Annual Review of Genetics, 36, (2002) pp. 721-750.
Weir, et al., “Genetic relatedness analysis: modern data and new challenges” Nature Genetics 7, (2006) pp. 771-780.
Weir, et al., “Group inbreeding with two linked loci” Genetics 63 (1969) pp. 711-742.
Weir, et al., “Measures of human population structure show heterogeneity among genomic regions” Genome Res. 15 (2005) pp. 1468-1476. [PubMed:16251456].
Weiss, et al., “Association between microdeletion and microduplication at 16p11.2 and autism” New England Journal of Medicine, vol. 358, No. 7, Feb. 14, 2008, pp. 667-675.
Whittemore, et al., “A Class of Tests for Linkage Using Affected Pedigree Members” Biometrics 50, (1994) pp. 118-127.
WHO Expert Consultation, “Appropriate body-mass index for Asian populations and its implications for policy and Intervention strategies”, Lancet 363, (2004) pp. 157-163.
WHO International Association for the Study of Obesity, International Obesity Task Force, “The Asia-Pacific 29 perspective: Redefining Obesity and its Treatment”, Sydney, Australia, Health Communications 2000, pp. 1-56. [Part I].
WHO Technical Report Series 894, “Obesity: preventing and managing the global epidemic”, WHO Technical Report Series 894 (2000) pp. 1-253. [Part II].
Wigginton et al., “A note on exact tests of Hardy-Weinberg equilibrium”, Am. J. Hum. Genet. 76 (2005) pp. 887-893.
Wijsman, et al., “Multipoint linkage analysis with many multiallelic or dense diallelic markers: Markov chain-Monte Carlo provides practical approaches for genome scans on general pedigrees” Am. J. Hum. Genet. 79, (2006) pp. 846-858.
Wright, S. “Systems of Mating. I. The Biometric Relations Between Parent and Offspring,” Genetics, 6:111 (1921).
Yu, et al., “A unified mixed-model method for association mapping accounting for mutiple levels of relatedness” Nature Genet. 38, (2006) pp. 203-208.
Zhang, et al., “A comparison of several methods for haplotype frequency estimation and haplotype reconstruction for tightly linked markers from general pedigrees” Genet. Epidemiol. 30 (2006) pp. 423-437.
Zhao, Hongyu, and Feng Liang, “On Relationship Inference Using Gamete Identity by Descent Data,” Journal of Computational Biology, vol. 8, No. 2, 2001.
Zimprich A. et al., “Mutations in LRRK2 cause autosomal-autosomal-dominant parkinsonism with pleomorphic pathology”, Neuron 44 (2004) pp. 601-607.
Zou H. and Hastie T., “Regularization and variable selection via the Elastic Net”, Journal of the Royal Statistical Society B 67 (2005), pp. 301-320.
Office Action, U.S. Appl. No. 15/927,785, dated Feb. 10, 2020.
Office Action, U.S. Appl. No. 15/999,198, dated Aug. 5, 2020.
Office Action, U.S. Appl. No. 16/129,645, dated Apr. 23, 2021.
Office Action, U.S. Appl. No. 16/151,721, dated Jan. 25, 2021.
Office Action, U.S. Appl. No. 16/151,721, dated Oct. 26, 2021.
Office Action, U.S. Appl. No. 16/814,243, dated Jul. 1, 2020.
Office Action, U.S. Appl. No. 16/814,243, dated Nov. 16, 2020.
Office Action, U.S. Appl. No. 16/814,243, dated Dec. 9, 2021.
Office Action, U.S. Appl. No. 16/814,243, dated Jun. 22, 2022.
Office Action, U.S. Appl. No. 17/004,494, dated Nov. 6, 2020.
Office Action, U.S. Appl. No. 17/004,911, dated Nov. 18, 2020.
Office Action, U.S. Appl. No. 17/073,122, dated Dec. 24, 2020.
Office Action, U.S. Appl. No. 17/073,122, dated Jun. 14, 2021.
Office Action, U.S. Appl. No. 17/073,128, dated Feb. 3, 2021.
Office Action, U.S. Appl. No. 17/073,128, dated Jun. 30, 2021.
Office Action, U.S. Appl. No. 17/077,930, dated Dec. 21, 2020.
Office Action, U.S. Appl. No. 17/077,930, dated Apr. 20, 2021.
Office Action, U.S. Appl. No. 17/077,930, dated Nov. 16, 2021.
Office Action, U.S. Appl. No. 17/175,995, dated Oct. 19, 2022.
Office Action, U.S. Appl. No. 17/212,596, dated Sep. 19, 2022.
Office Action, U.S. Appl. No. 17/212,906, dated May 12, 2022.
Office Action, U.S. Appl. No. 17/212,906, dated Jun. 24, 2022.
Office Action, U.S. Aplp. No. 17/301,129, dated Jun. 8, 2021.
Office Action, U.S. Appl. No. 17/351,052, dated Dec. 9, 2021.
Office Action, U.S. Appl. No. 17/576,738, dated Apr. 14, 2022.
Office Action, U.S. Appl. No. 17/584,844, dated Mar. 28, 2022.
Office Action, U.S. Appl. No. 17/590,304, dated Apr. 4, 2022.
Office Action, U.S. Appl. No. 17/729,840, dated Jun. 22, 2022.
Office Action, U.S. Appl. No. 17/731,779, dated Jun. 16, 2022.
Office Action, U.S. Appl. No. 17/731,963, dated Jun. 28, 2022.
Office Action, U.S. Appl. No. 17/743,973, dated Jul. 14, 2022.
Office Action, U.S. Appl. No. 17/958,665, dated Dec. 29, 2022.
Oliehoek, et al., “Estimating relatedness between individuals in general populations with a focus on their use in conservation programs” Genetics 173 (2006) pp. 483-496.
Olson, et al., “Relationship estimation by Markov-process models in sib-pair linkage study” Am. J. Hum. Genet. 64, (1999) pp. 1464-1472.
Opposition to Defendants' Motion to Dismiss Plaintiff's Complaint, filed in the United States District Court in and for the Northern District of California LLC on Jul. 13, 2018, Case No. 18-cv-02791-JCS, Re 23andMe, Inc. v. Ancestry.com DNA, LLC, Ancestry.com Operations Inc., and Ancestry.com.
Order Granting in Part and Denying in Part Defendants' Motion to Dismiss, dated Aug. 23, 2018, Case No. 18-cv-02791-JCS, from the United States District Court in and for the Northern District of California LLC, Re 23andMe, Inc. v. Ancestry.com DNA, LLC, Ancestry.com Operations Inc., and Ancestry.com.
Orlin J.B. and Lee Y., “QuickMatch: a very fast assignment for the assignment problem”, MIT Sloan School Working Paper, Mar. 1993, pp. 3547-3593.
Patterson, et al., “Population Structure and Eigenanalysis,” PLoS Genetics, vol. 2, No. 12, e190, Dec. 2006, pp. 2074-2093.
Payami H., et al., “Familial aggregation of Parkinson disease: a comparative study of early-onset and late-onset disease”, Arch Neurol. 59, (2002) pp. 848-850.
Paynter, et al., “Accuracy of Multiplexed Illumina Platform-Based Single-Nucleotide Polymorphism Genotyping Compared between Genomic and Whole Genome Amplified DNA Collected from Multiple Sources,” Cancer Epidemiol Biomarkers Prev. 15, Dec. 2006, pp. 2533-2536.
Peedicayil, J., “Epigenetic Therapy—a New Development in Pharmacology”, Indian Journal of Medical Research, vol. 123, No. 1, Jan. 2006, pp. 17-24.
Pemberton et al., “Inference of unexpected Genetic relatedness among individuals in HapMap phase III” Am. J. Hum. Genet. 87, (2010) pp. 457-464.
Perry, et al., “The fine-scale and complex architecture of human copy-number variation,” Am. J. Hum. Genet. 82, Mar. 2008, pp. 685-695.
Pierpont et al., “Genetic basis for congenital heart defects: current knowledge: a scientific statement from the American Heart Association Congenital Cardiac Defects Committee, Council on Cardiovascular disease in the Young: endorsed by the American Academy of Pediatrics”, Circulation 115(23) (2007), pp. 3015-3038.
Pinto, et al., “Copy-number variation in control population cohorts,” Human Molecular Genetics, 2007, vol. 16, review issue No. 2, pp. R168-R173. doi:10.1093/hmg/ddm241.
Polymeropoulos et al., “Mutation in the alpha-synuclein gene identified in families with Parkinson's disease”, Science 276 (1997), pp. 2045-2047.
Prather, et al., Medical data mining: knowledge discovery in a clinical data warehouse, Fall 1997, Proceedings of the AMIA Annual Fall Symposium, pp. 101-105.
Pritchard et al., “Linkage Disequilibrium in Humans: Models and Data”, Am. J. Hum. Genet. 69 (2001), pp. 1-14.
Lander, et al., “hom*ozygosity mapping: a way to map human recessive traits with the DNA of inbred children” Science 236, (1987) pp. 1567-1570.
Lange, et al., “Extensions to pedigree analysis I. Likelihood calculations for simple and complex pedigrees” Hum. He red. 25 (1975) pp. 95-105.
Lavenier, Dominique, and J-L. Pacherie. “Parallel processing for scanning genomic databases.” Advances in Parallel Computing vol. 12, North-Holland, 1998, pp. 81-88.
Leclair, et al., “Enhanced kinship analysis and STR-based DNA typing for human identification in mass fatality incidents: The Swissair Flight 111 disaster” Journal of Forensic Sciences, 49(5) (2004) pp. 939-953.
Leibon, et al., “A simple computational method for the identification of disease-associated loci in complex, incomplete pedigrees” arXiv:0710:5625v1 [q-bio.GN] Oct. 30, 2007, pp. 1-20.
Leibon, Gregory, Daniel N. Rockmore, and Martin R Pollak, “A SNP streak model for the identification of genetic regions identical-by-descent”, Statistical Applications in Genetics and Molecular Biology 7, No. 1 (2008).
Leutenegger, et al., “Estimation of the Inbreeding Coefficient through Use of Genomic Data,” Am. J. Hum. Genet. 73, Jul. 29, 2003, pp. 516-523.
Leutenegger, et al., “Using genomic inbreeding coefficient estimates for hom*ozygosity mapping of rare recessive traits: Application to Taybi-Linder syndrome” Am. J. Hum. Genet., vol. 79, Jul. 2006, pp. 62-66.
Li Y. et al., “Genetic evidence for ubiquitin-specific proteases USP24 and USP40 as candidate genes for late-onset Parkinson disease” Hum Mutat 27(10) (2006) pp. 1017-1023.
Li, et al., “Fast and accurate long-read alignment with Burrows-Wheeler transform” Bioinformatics vol. 26, No. 5, 2010, pp. 589-595.
Li, et al., “Joint modeling of linkage and association: identifying SNPs responsible for a linkage signal” Am. J. Hum. Genet. 76 (2005) pp. 934-949.
Li, et al., “Mapping short DNA sequencing reads and calling variants using mapping quality scores,” Genome Research, Aug. 19, 2008, pp. 1851-1858. doi:10.1101/gr.078212.108.
Li, et al., “Modeling linkage disequilibrium and identifying recombination hotspots using single nucleotide polymorphism data” Genetics 165, (2003) pp. 2213-2233.
Li, et al., “Similarity of DNA fingerprints due to chance and relatedness” Hum. Hered. 43, 1993 pp. 45-52.
Lien, et al. “Evidence for heterogeneity in recombination in the human pseudoautosomal region: High resolution analysis by sperm typing and radiation-hybrid mapping” Am. J. Hum. Genet. 66, 2000, pp. 557-566.
Lin, et al. “Haplotype inference in random population samples” Am. J. Hum. Genet. 71, 2002, pp. 1129-1137.
Lindstrom, J. et al., “The diabetes risk score: a practical tool to predict type 2 diabetes risk” Diabetes Care 26:3 (2003) pp. 725-731.
Liu, et al., “Affected sib-pair test in inbred populations” Ann. Hum. Genet. 68, (2004) pp. 606-619.
Lo et al., “Epidemiology and adverse cardiovascular risk profile of diagnosed polycystic ovary syndrome” J. Clin. Endocrinol. Metab. 91 (2006) pp. 1357-1363.
Lobo, et al., “AUC: a misleading measure of the performance of predictive distribution models” Global Ecology and Biogeography, (2007) pp. 1-7. <10.1111>

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Comparison and identification of attribute similarity based on genetic markers (2024)

FAQs

What are the characteristics and attributes of an organism that genes determine? ›

The term "phenotype" refers to the observable physical properties of an organism; these include the organism's appearance, development, and behavior. An organism's phenotype is determined by its genotype, which is the set of genes the organism carries, as well as by environmental influences upon these genes.

How is genetic similarity measured? ›

The more closely related individuals are, and so the more alleles they share, the more similar their phenotypes should be. Thus, by statistically quantifying the association between phenotypic and genetic similarity (i.e., relatedness) among individuals in a population we can estimate the genetic variance for a trait.

Why is it better to compare the DNA of organisms rather than physical characteristics? ›

Species may share similar physical features because the feature was present in a common ancestor (hom*ologous structures). Molecular biology. DNA and the genetic code reflect the shared ancestry of life. DNA comparisons can show how related species are.

What happens when scientists compare DNA of organisms that are closely related? ›

Molecular similarities provide evidence for the shared ancestry of life. DNA sequence comparisons can show how different species are related. Biogeography, the study of the geographical distribution of organisms, provides information about how and when species may have evolved.

What is genetic attributes? ›

Parents pass on traits or characteristics, such as eye colour and blood type, to their children through their genes. Some health conditions and diseases can be passed on genetically too. Sometimes, one characteristic has many different forms. For example, blood type can be A, B, AB or O.

What are three examples of characteristics that genes determine? ›

Genetics is the study of heredity, the process of a parent passing certain genes to their children. A person's appearance -- height, hair color, skin color, and eye color -- is determined by genes. Other characteristics affected by heredity are: Likelihood of getting certain diseases.

What do genetic comparisons show? ›

Comparative genomics is a field of biological research in which researchers use a variety of tools to compare the complete genome sequences of different species. By carefully comparing characteristics that define various organisms, researchers can pinpoint regions of similarity and difference.

What is the genetic similarity theory? ›

We present genetic similarity theory (GST), which incorporates the kin- selection theory of altruism under a more general principle. GST states that a gene ensures its own survival by acting so as to bring about the reproduction of any organism in which copies of itself are to be found.

What is the formula for genetic similarity? ›

An index of genetic similarity (S1) is derived from the index V,. using the formula SI = exp. (-V,.), The Nei indices were compared with V, and SI on two different sets of data.

How can we identify similarities among organisms? ›

Every living creature has DNA, which has a lot of inherited information about how the body builds itself. Scientists can compare the DNA of two organisms; the more similar the DNA, the more closely related the organisms. This method can also help when looks are deceptive.

How is DNA used for comparison and identification of organisms? ›

The species to which an unidentified bone sample belongs can be determined through the analysis of species-specific DNA sequences. Hence, by determining species origin, this technique provides insight beyond answering whether the remains are human or nonhuman.

Why is genetic evidence a more powerful tool for systematics than the physical appearance of characteristics of organisms? ›

In terms of understanding evolutionary relationships, the similarities in DNA are generally more accurate than just considering physical traits since evolution occurs on the level of the genome, as mutations can occur on that scale, leading to evolutionary differences being manifested on the level of the genome.

What is the closest animal to humans? ›

It confirms that our closest living biological relatives are chimpanzees and bonobos, with whom we share many traits. But we did not evolve directly from any primates living today. DNA also shows that our species and chimpanzees diverged from a common ancestor species that lived between 8 and 6 million years ago.

What types of similarities do scientists consider when attempting to determine whether two organisms share an evolutionary relationship and a common ancestor? ›

DNA evidence for evolution

Biologists often compare the sequences of related (or hom*ologous) genes. If two species have the "same" gene, it is because they inherited it from a common ancestor. In general, the more DNA differences in hom*ologous genes between two species, the more distantly the species are related.

What are the characteristics of an organism determined by interaction of genes? ›

phenotype, all the observable characteristics of an organism that result from the interaction of its genotype (total genetic inheritance) with the environment. Examples of observable characteristics include behaviour, biochemical properties, colour, shape, and size.

What is a characteristic determined by genes? ›

Definition. A trait, as related to genetics, is a specific characteristic of an individual. Traits can be determined by genes, environmental factors or by a combination of both. Traits can be qualitative (such as eye color) or quantitative (such as height or blood pressure).

What are the characteristics or attributes of an organism that are expressed by genes such as height or flower color? ›

The observable traits expressed by an organism are referred to as its phenotype. An organism's underlying genetic makeup, consisting of both physically visible and non-expressed alleles, is called its genotype.

What are the specific characteristics or attribute of an organism? ›

All living organisms share several key characteristics or functions: order, sensitivity or response to the environment, reproduction, growth and development, regulation, homeostasis, and energy processing.

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