David A. Hinds
Stanford University
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Featured researches published by David A. Hinds.
Science | 2007
Ruth McPherson; Alexander Pertsemlidis; Nihan Kavaslar; Alexandre F.R. Stewart; Robert Roberts; D. R. Cox; David A. Hinds; Len A. Pennacchio; Anne Tybjærg-Hansen; Aaron R. Folsom; Eric Boerwinkle; Helen H. Hobbs; Jonathan C. Cohen
Coronary heart disease (CHD) is a major cause of death in Western countries. We used genome-wide association scanning to identify a 58-kilobase interval on chromosome 9p21 that was consistently associated with CHD in six independent samples (more than 23,000 participants) from four Caucasian populations. This interval, which is located near the CDKN2A and CDKN2B genes, contains no annotated genes and is not associated with established CHD risk factors such as plasma lipoproteins, hypertension, or diabetes. Homozygotes for the risk allele make up 20 to 25% of Caucasians and have a ∼30 to 40% increased risk of CHD.
American Journal of Human Genetics | 1999
Neil Risch; Donna Spiker; Linda Lotspeich; Nassim Nouri; David A. Hinds; Joachim Hallmayer; Luba Kalaydjieva; Patty McCague; Sue Dimiceli; Tawna Pitts; Loan Nguyen; Joan Yang; Courtney Harper; Danielle Thorpe; Saritha Vermeer; Helena Young; Joan M. Hebert; Alice Lin; Joan Ferguson; Carla Chiotti; Susan Wiese‐Slater; Tamara Rogers; Boyd Salmon; Peter Nicholas; P. Brent Petersen; Carmen Pingree; William M. McMahon; Dona L. Wong; Luigi Luca Cavalli-Sforza; Helena C. Kraemer
We have conducted a genome screen of autism, by linkage analysis in an initial set of 90 multiplex sibships, with parents, containing 97 independent affected sib pairs (ASPs), with follow-up in 49 additional multiplex sibships, containing 50 ASPs. In total, 519 markers were genotyped, including 362 for the initial screen, and an additional 157 were genotyped in the follow-up. As a control, we also included in the analysis unaffected sibs, which provided 51 discordant sib pairs (DSPs) for the initial screen and 29 for the follow-up. In the initial phase of the work, we observed increased identity by descent (IBD) in the ASPs (sharing of 51.6%) compared with the DSPs (sharing of 50.8%). The excess sharing in the ASPs could not be attributed to the effect of a small number of loci but, rather, was due to the modest increase in the entire distribution of IBD. These results are most compatible with a model specifying a large number of loci (perhaps >/=15) and are less compatible with models specifying </=10 loci. The largest LOD score obtained in the initial scan was for a marker on chromosome 1p; this region also showed positive sharing in the replication family set, giving a maximum multipoint LOD score of 2.15 for both sets combined. Thus, there may exist a gene of moderate effect in this region. We had only modestly positive or negative linkage evidence in candidate regions identified in other studies. Our results suggest that positional cloning of susceptibility loci by linkage analysis may be a formidable task and that other approaches may be necessary.
Nature | 2007
Kelly A. Frazer; Eleazar Eskin; Hyun Min Kang; Molly A. Bogue; David A. Hinds; Erica Beilharz; Robert V. Gupta; Julie Montgomery; Matt Morenzoni; Geoffrey B. Nilsen; Charit Pethiyagoda; Laura L. Stuve; Frank M. Johnson; Mark J. Daly; Claire M. Wade; D. R. Cox
A dense map of genetic variation in the laboratory mouse genome will provide insights into the evolutionary history of the species and lead to an improved understanding of the relationship between inter-strain genotypic and phenotypic differences. Here we resequence the genomes of four wild-derived and eleven classical strains. We identify 8.27 million high-quality single nucleotide polymorphisms (SNPs) densely distributed across the genome, and determine the locations of the high (divergent subspecies ancestry) and low (common subspecies ancestry) SNP-rate intervals for every pairwise combination of classical strains. Using these data, we generate a genome-wide haplotype map containing 40,898 segments, each with an average of three distinct ancestral haplotypes. For the haplotypes in the classical strains that are unequivocally assigned ancestry, the genetic contributions of the Mus musculus subspecies—M. m. domesticus, M. m. musculus, M. m. castaneus and the hybrid M. m. molossinus—are 68%, 6%, 3% and 10%, respectively; the remaining 13% of haplotypes are of unknown ancestral origin. The considerable regional redundancy of the SNP data will facilitate imputation of the majority of these genotypes in less-densely typed classical inbred strains to provide a complete view of variation in additional strains.
Nature Genetics | 2006
David A. Hinds; Andrew P Kloek; Michael Jen; Xiyin Chen; Kelly A. Frazer
Humans show great variation in phenotypic traits such as height, eye color and susceptibility to disease. Genomic DNA sequence differences among individuals are responsible for the inherited components of these complex traits. Reports suggest that intermediate and large-scale DNA copy number and structural variations are prevalent enough to be an important source of genetic variation between individuals. Because association studies to identify genomic loci associated with particular phenotypic traits have focused primarily on genotyping SNPs, it is important to determine whether common structural polymorphisms are in linkage disequilibrium with common SNPs, and thus can be assessed indirectly in SNP-based studies. Here we examine 100 deletion polymorphisms ranging from 70 bp to 7 kb. We show that common deletions and SNPs ascertained with similar criteria have essentially the same distribution of linkage disequilibrium with surrounding SNPs, indicating that these polymorphisms may share evolutionary history and that most deletion polymorphisms are effectively assayed by proxy in SNP-based association studies.
Nature Genetics | 1998
Patrick Concannon; Kathryn J. Gogolin-Ewens; David A. Hinds; Beth Wapelhorst; V. Annem Morrison; Brigid Stirling; Mirna Mitra; Jennifer M. Farmer; Sloan Williams; Nancy J. Cox; Graeme I. Bell; Neil Risch; Richard S. Spielman
During the past decade, the genetics of type 1 (insulin-dependent) diabetes mellitus (IDDM) has been studied extensively and the disorder has become a paradigm for genetically complex diseases. Previous genome screens and studies focused on candidate genes have provided evidence for genetic linkage between polymorphic DNA markers and 15 putative IDDM susceptibility loci, designated IDDM1-IDDM15 . We have carried out a second-generation screen of the genome for linkage and analysed the data by multipoint linkage methods. An initial panel of 212 affected sibpairs (ASPs) was genotyped for 438 markers spanning all autosomes, and an additional 467 ASPs were used for follow-up genotyping. Other than the well-established linkage with the HLA region at chromosome 6p21.3, there was only one region, located on chromosome 1q and not previously reported, where the log likelihood ratio (lod) was greater than 3. Lods between 1.0 and 1.8 were found in six other regions, three of which have been reported in other studies. Another reported region, on chromosome 6q and loosely linked to HLA, also had an elevated lod. Little or no support was found for most reported IDDM loci (lods were less than 1), despite larger sample sizes in the present study.
Nature Genetics | 2010
Chao Tian; Renee Stokowski; David Kershenobich; Dennis G. Ballinger; David A. Hinds
Two genome-wide association studies (GWAS) have described associations of variants in PNPLA3 with nonalcoholic fatty liver and plasma liver enzyme levels. We investigated the contributions of these variants to liver disease in Mestizo subjects with a history of alcohol dependence. We found that rs738409 in PNPLA3 is strongly associated with alcoholic liver disease and clinically evident alcoholic cirrhosis (unadjusted OR= 2.25, P=1.7 × 10−10; ancestry-adjusted OR=1.79, P=1.9 × 10−5).
Nature Genetics | 2005
Susan E. Ptak; David A. Hinds; Kathrin Koehler; Birgit Nickel; Nila Patil; Dennis G. Ballinger; Molly Przeworski; Kelly A. Frazer; Svante Pääbo
Recombination rates seem to vary extensively along the human genome. Pedigree analysis suggests that rates vary by an order of magnitude when measured at the megabase scale, and at a finer scale, sperm typing studies point to the existence of recombination hotspots. These are short regions (1–2 kb) in which recombination rates are 10–1,000 times higher than the background rate. Less is known about how recombination rates change over time. Here we determined to what degree recombination rates are conserved among closely related species by estimating recombination rates from 14 Mb of linkage disequilibrium data in central chimpanzee and human populations. The results suggest that recombination hotspots are not conserved between the two species and that recombination rates in larger (50 kb) genomic regions are only weakly conserved. Therefore, the recombination landscape has changed markedly between the two species.
American Journal of Human Genetics | 2007
Renee Stokowski; P.V. Krishna Pant; Tony Dadd; Amelia Fereday; David A. Hinds; Carl Jarman; Wendy Filsell; Rebecca S. Ginger; Martin R. Green; Frans van der Ouderaa; D. R. Cox
We have conducted a multistage genomewide association study, using 1,620,742 single-nucleotide polymorphisms to systematically investigate the genetic factors influencing intrinsic skin pigmentation in a population of South Asian descent. Polymorphisms in three genes--SLC24A5, TYR, and SLC45A2--yielded highly significant replicated associations with skin-reflectance measurements, an indirect measure of melanin content in the skin. The associations detected in these three genes, in an additive manner, collectively account for a large fraction of the natural variation of skin pigmentation in a South Asian population. Our study is the first to interrogate polymorphisms across the genome, to find genetic determinants of the natural variation of skin pigmentation within a human population.
Nature Genetics | 2016
Joseph K. Pickrell; Tomaz Berisa; Jimmy Z Liu; Laure Ségurel; Joyce Y. Tung; David A. Hinds
We performed a scan for genetic variants associated with multiple phenotypes by comparing large genome-wide association studies (GWAS) of 42 traits or diseases. We identified 341 loci (at a false discovery rate of 10%) associated with multiple traits. Several loci are associated with multiple phenotypes; for example, a nonsynonymous variant in the zinc transporter SLC39A8 influences seven of the traits, including risk of schizophrenia (rs13107325: log-transformed odds ratio (log OR) = 0.15, P = 2 × 10−12) and Parkinson disease (log OR = −0.15, P = 1.6 × 10−7), among others. Second, we used these loci to identify traits that have multiple genetic causes in common. For example, variants associated with increased risk of schizophrenia also tended to be associated with increased risk of inflammatory bowel disease. Finally, we developed a method to identify pairs of traits that show evidence of a causal relationship. For example, we show evidence that increased body mass index causally increases triglyceride levels.
Nature Genetics | 2016
Craig L. Hyde; Michael W. Nagle; Chao Tian; Xing Chen; Sara A. Paciga; Jens R. Wendland; Joyce Y. Tung; David A. Hinds; Roy H. Perlis; Ashley R. Winslow
Despite strong evidence supporting the heritability of major depressive disorder (MDD), previous genome-wide studies were unable to identify risk loci among individuals of European descent. We used self-report data from 75,607 individuals reporting clinical diagnosis of depression and 231,747 individuals reporting no history of depression through 23andMe and carried out meta-analysis of these results with published MDD genome-wide association study results. We identified five independent variants from four regions associated with self-report of clinical diagnosis or treatment for depression. Loci with a P value <1.0 × 10−5 in the meta-analysis were further analyzed in a replication data set (45,773 cases and 106,354 controls) from 23andMe. A total of 17 independent SNPs from 15 regions reached genome-wide significance after joint analysis over all three data sets. Some of these loci were also implicated in genome-wide association studies of related psychiatric traits. These studies provide evidence for large-scale consumer genomic data as a powerful and efficient complement to data collected from traditional means of ascertainment for neuropsychiatric disease genomics.