Digital Commons Network^™

Genetic Variants For Head Size Share Genes And Pathways With Cancer, Maria J Knol, Raymond A Poot, Tavia E Evans, Claudia L Satizabal, Aniket Mishra, Muralidharan Sargurupremraj, Sandra Van Der Auwera, Marie-Gabrielle Duperron, Xueqiu Jian, Isabel C Hostettler, Dianne H K Van Dam-Nolen, Sander Lamballais, Mikolaj A Pawlak, Cora E Lewis, Amaia Carrion-Castillo, Theo G M Van Erp, Céline S Reinbold, Jean Shin, Markus Scholz, Asta K Håberg, Anders Kämpe, Gloria H Y Li, Reut Avinun, Joshua R Atkins, Fang-Chi Hsu, Alyssa R Amod, Max Lam, Ami Tsuchida, Mariël W A Teunissen, Nil Aygün, Yash Patel, Dan Liang, Alexa S Beiser, Frauke Beyer, Joshua C Bis, Daniel Bos, R Nick Bryan, Robin Bülow, Svenja Caspers, Gwenaëlle Catheline, Charlotte A M Cecil, Shareefa Dalvie, Jean-François Dartigues, Charles Decarli, Maria Enlund-Cerullo, Judith M Ford, Barbara Franke, Barry I Freedman, Nele Friedrich, Melissa J Green, Simon Haworth, Catherine Helmer, Per Hoffmann, Georg Homuth, M Kamran Ikram, Clifford R Jack, Neda Jahanshad, Christiane Jockwitz, Yoichiro Kamatani, Annchen R Knodt, Shuo Li, Keane Lim, W T Longstreth, Fabio Macciardi, Outi Mäkitie, Bernard Mazoyer, Sarah E Medland, Susumu Miyamoto, Susanne Moebus, Thomas H Mosley, Ryan Muetzel, Thomas W Mühleisen, Manabu Nagata, Soichiro Nakahara, Nicholette D Palmer, Zdenka Pausova, Adrian Preda, Yann Quidé, William R Reay, Gennady V Roshchupkin, Reinhold Schmidt, Pamela J Schreiner, Kazuya Setoh, Chin Yang Shapland, Stephen Sidney, Beate St Pourcain, Jason L Stein, Yasuharu Tabara, Alexander Teumer, Anne Uhlmann, Aad Van Der Lugt, Meike W Vernooij, David J Werring, B Gwen Windham, A Veronica Witte, Katharina Wittfeld, Qiong Yang, Kazumichi Yoshida, Han G Brunner, Quentin Le Grand, Kang Sim, Dan J Stein, Donald W Bowden, Murray J Cairns, Ahmad R Hariri, Ching-Lung Cheung, Sture Andersson, Arno Villringer, Tomas Paus, Sven Cichon, Vince D Calhoun, Fabrice Crivello, Lenore J Launer, Tonya White, Peter J Koudstaal, Henry Houlden, Myriam Fornage, Fumihiko Matsuda, Hans J Grabe, M Arfan Ikram, Stéphanie Debette, Paul M Thompson, Sudha Seshadri, Hieab H H Adams

Journal Articles

The size of the human head is highly heritable, but genetic drivers of its variation within the general population remain unmapped. We perform a genome-wide association study on head size (N = 80,890) and identify 67 genetic loci, of which 50 are novel. Neuroimaging studies show that 17 variants affect specific brain areas, but most have widespread effects. Gene set enrichment is observed for various cancers and the p53, Wnt, and ErbB signaling pathways. Genes harboring lead variants are enriched for macrocephaly syndrome genes (37-fold) and high-fidelity cancer genes (9-fold), which is not seen for human height variants. Head size …

Estimating Heritability Explained By Local Ancestry And Evaluating Stratification Bias In Admixture Mapping From Summary Statistics, Tsz Fung Chan, Xinyue Rui, David V Conti, Myriam Fornage, Mariaelisa Graff, Jeffrey Haessler, Christopher Haiman, Heather M Highland, Su Yon Jung, Eimear E Kenny, Charles Kooperberg, Loic Le Marchand, Kari E North, Ran Tao, Genevieve Wojcik, Christopher R Gignoux, Charleston W K Chiang, Nicholas Mancuso

Journal Articles

The heritability explained by local ancestry markers in an admixed population (h

The Implementation Science For Genomic Health Translation (Insight) Study In Epilepsy: Protocol For A Learning Health Care System, Elena Valeryevna Feofanova, Guo-Qiang Zhang, Samden Lhatoo, Ginger A Metcalf, Eric Boerwinkle, Eric Venner

Journal Articles

BACKGROUND: Genomic medicine is poised to improve care for common complex diseases such as epilepsy, but additional clinical informatics and implementation science research is needed for it to become a part of the standard of care. Epilepsy is an exemplary complex neurological disorder for which DNA diagnostics have shown to be advantageous for patient care.

OBJECTIVE: We designed the Implementation Science for Genomic Health Translation (INSIGHT) study to leverage the fact that both the clinic and testing laboratory control the development and customization of their respective electronic health records and clinical reporting platforms. Through INSIGHT, we can rapidly prototype and …

De Novo Mutations Across 1,465 Diverse Genomes Reveal Mutational Insights And Reductions In The Amish Founder Population, Michael D Kessler, Douglas P Loesch, James A Perry, Nancy L Heard-Costa, Daniel Taliun, Brian E Cade, Heming Wang, Michelle Daya, John Ziniti, Soma Datta, Juan C Celedón, Manuel E Soto-Quiros, Lydiana Avila, Scott T Weiss, Kathleen Barnes, Susan S Redline, Ramachandran S Vasan, Andrew D Johnson, Rasika A Mathias, Ryan Hernandez, James G Wilson, Deborah A Nickerson, Goncalo Abecasis, Sharon R Browning, Sebastian Zöllner, Jeffrey R O'Connell, Braxton D Mitchell, Timothy D O'Connor

Journal Articles

De novo mutations (DNMs), or mutations that appear in an individual despite not being seen in their parents, are an important source of genetic variation whose impact is relevant to studies of human evolution, genetics, and disease. Utilizing high-coverage whole-genome sequencing data as part of the Trans-Omics for Precision Medicine (TOPMed) Program, we called 93,325 single-nucleotide DNMs across 1,465 trios from an array of diverse human populations, and used them to directly estimate and analyze DNM counts, rates, and spectra. We find a significant positive correlation between local recombination rate and local DNM rate, and that DNM rate explains a …

Lineage-Specific Functionality Of An Interferon Regulatory Factor 5 Lupus Risk Haplotype: Lack Of B Cell Intrinsic Effects, J. Calise, S. M. Renteria, P. K. Gregersen, B. Diamond

Journal Articles

No abstract provided.

The Genetics Of Endophenotypes Of Neurofunction To Understand Schizophrenia (Genus) Consortium: A Collaborative Cognitive And Neuroimaging Genetics Project, G. A. Blokland, E. C. Del Re, R. I. Mesholam-Gately, J. Jovicich, J. Trampush, M. S. Keshavan, L. E. Delisi, A. K. Malhotra, T. Lencz, T. L. Petryshen, +64 Additional Authors

Journal Articles

No abstract provided.

Doctors, Patients, And Pills--A System Popping Under Too Much Physician Discretion? A Law-Policy Prescription To Make Drug Approval More Meaningful In The Delivery Of Health Care, Michael J. Malinowski

Journal Articles

This article challenges the scope of physician discretion to engage in off-label use of prescription drugs. The discretion to prescribe dimensions beyond the clinical research that puts new drugs on pharmacy shelves has been shaped by two historic influences: a legacy of physician paternalism, solidarity, autonomy, and self-determination that predates the contemporary commercialization of medicine by more than half a century, and regulatory necessity due to the limits of science and innate crudeness of pharmaceuticals prior to the genomics revolution (drug development and delivery based upon genetic expression). Although both factors have changed immensely, the standard for drug approval has …

Dealing With The Realities Of Race And Ethnicity: A Bioethics-Centered Argument In Favor Of Race-Based Genetics Research, Michael J. Malinowski

Journal Articles

No abstract provided.

Law, Policy, And Market Implications Of Genetic Profiling In Drug Development, Michael J. Malinowski

Journal Articles

No abstract provided.

Estimation Of The Incidence Of A Rare Genetic Disease Through A Two-Tier Mutation Survey., R Chakraborty, M R Srinivasan, S Raskin

Journal Articles

Recent attempts to detect mutations involving single base changes or small deletions that are specific to genetic diseases provide an opportunity to develop a two-tier mutation-screening program through which incidence of rare genetic disorders and gene carriers may be precisely estimated. A two-tier survey consists of mutation screening in a sample of patients with specific genetic disorders and in a second sample of newborns from the same population in which mutation frequency is evaluated. We provide the statistical basis for evaluating the incidence of affected and gene carriers in such two-tier mutation-screening surveys, from which the precision of the estimates …

Statistical Interpretation Of Dna Typing Data., R Chakraborty

Journal Articles

No abstract provided.

Population Amalgamation And Genetic Variation: Observations On Artificially Agglomerated Tribal Populations Of Central And South America., R Chakraborty, P E Smouse, J V Neel

Journal Articles

The interpretation of data on genetic variation with regard to the relative roles of different evolutionary factors that produce and maintain genetic variation depends critically on our assumptions concerning effective population size and the level of migration between neighboring populations. In humans, recent population growth and movements of specific ethnic groups across wide geographic areas mean that any theory based on assumptions of constant population size and absence of substructure is generally untenable. We examine the effects of population subdivision on the pattern of protein genetic variation in a total sample drawn from an artificial agglomerate of 12 tribal populations …

Parentage Analysis With Genetic Markers In Natural Populations. I. The Expected Proportion Of Offspring With Unambiguous Paternity., R Chakraborty, T R Meagher, P E Smouse

Journal Articles

Recent studies indicate that polymorphic genetic markers are potentially helpful in resolving genealogical relationships among individuals in a natural population. Genetic data provide opportunities for paternity exclusion when genotypic incompatibilities are observed among individuals, and the present investigation examines the resolving power of genetic markers in unambiguous positive determination of paternity. Under the assumption that the mother for each offspring in a population is unambiguously known, an analytical expression for the fraction of males excluded from paternity is derived for the case where males and females may be derived from two different gene pools. This theoretical formulation can also be …

Detection Of Nonrandom Association Of Alleles From The Distribution Of The Number Of Heterozygous Loci In A Sample., R Chakraborty

Journal Articles

The distribution of the number of heterozygous loci in two randomly chosen gametes or in a random diploid zygote provides information regarding the nonrandom association of alleles among different genetic loci. Two alternative statistics may be employed for detection of nonrandom association of genes of different loci when observations are made on these distributions: observed variance of the number of heterozygous loci (s2k) and a goodness-of-fit criterion (X2) to contrast the observed distribution with that expected under the hypothesis of random association of genes. It is shown, by simulation, that s2k is statistically more efficient than X2 to detect a …