Animal Traits Correlation Database (CorrDB)

Release 18
(Apr 26, 2023)

Animal Trait Correlation Database

Genetic and phenotypic trait correlation studies have been conducted for decades since Hazel proposed the methods in 1943 ^[1]. A genetic correlation is the proportion of shared variance between two traits that is due to genetic causes; a phenotypic correlation is the degree to which two traits co-vary among individuals in a population. In the genomics era, while gene expression, genetic association, and network analysis provide unprecedented means to decode the genetic basis of complex phenotypes, it is important to recognize the possible effects genetic progress in one trait can have on other traits. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies.

As of the current Release, a total of 27,957 correlation data on 811 base traits and 406 trait variants; 5,149 heritability data on 974 base traits and 395 trait variants, in 6 livestock animal species have been curated from 520 publications.

Cattle

Chicken

Goat

Correlations: genetic
Correlations: phenotypic
Correlations: envrionmental
Trait heritabilities

Horse

Pig

Sheep

Release 18: Curated Data
Species	Correlations		Heritability
Species	Count	Traits	Count	Traits
Cattle	14,055	356	2,532	410
Chicken	2,037	81	397	108
Goat	311	32	5	2
Horse	209	27	131	54
Pig	9,100	238	1,715	286
Sheep	2,245	77	369	114
Sum	27,957	811	5,149	974

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Correlation by unique trait pairs by species
	Cattle	Chicken	Goat	Horse	Pig	Sheep	SUM
Environment	245 (545)	55 (55)		1 (2)	14 (166)	7 (82)	322 (850)
Genetic	3,112 (7,188)	383 (944)		76 (106)	1,835 (5,277)	534 (1,056)	5,940 (14,571)
Phenotypic	3,378 (5,865)	389 (1,038)	308 (311)	60 (86)	1,751 (3,475)	545 (1,086)	6,431 (11,861)
Residual	348 (470)			12 (15)	82 (182)	5 (21)	447 (688)
SUM	7,083 (14,068)	827 (2,037)	308 (311)	149 (209)	3,682 (9,100)	1,091 (2,245)	13,140 (27,970)
Note: Bold numbers represent counts of correlation trait pairs; In parenthesis are counts of multiple correlations reported.

Heritability data reported by species

# Reports	Cattle Traits
97	Body weight
70	Milk yield
56	Milk fat yield
56	Average daily gain
55	Subcutaneous fat thickness
55	Longissimus muscle area
55	Milk protein yield
49	Somatic cell score
41	Marbling score
40	Carcass weight
38	Milk protein percentage
38	Milk fat percentage
32	Dry matter intake
32	Scrotal circumference
28	Residual feed intake
28	Body height
21	Interval to first estrus after calving
19	Age at first calving
19	Clinical mastitis
18	Shear force
18	Calving to conception interval
18	Sperm motility
18	Calving interval
18	Fat thickness at the 12th rib
18	Metabolic body weight
15	Muscularity
15	Interval from first to last insemination
15	Udder cleft
15	Dressing percentage
14	Udder attachment
14	Intramuscular fat
14	Yield grade
14	Udder depth
13	Milk lactose content
13	Semen volume
13	Milk palmitic acid content
13	Milk myristic acid content
13	Milk oleic acid content
13	Conformation score
13	Milk stearic acid content
13	Gestation length
12	Milk capric acid content
12	Milk lauric acid content
12	Milk saturated fatty acid content
12	Milk lactose yield
12	Milk caprylic acid content
12	Stature
12	Ketosis
12	Body condition score
12	Non-return rate
12	Udder height
11	Milk unsaturated fatty acid content
11	M. paratuberculosis susceptibility
11	Feet and leg conformation
11	Dairy form
11	Kidney, pelvic, and heart fat percentage
11	Sperm concentration

# Reports	Chicken Traits
40	Body weight
30	Egg weight
28	Egg number
14	Eggshell strength
12	Abdominal fat weight
10	Abdominal fat percentage
9	Shank length
9	Eggshell thickness
8	Age at first egg
7	Albumen height
7	Eggshell shape
7	Feed conversion ratio
7	Feed intake
6	Residual feed intake
6	Liver weight
6	Average daily gain
6	Eggshell color
5	Breast muscle weight
5	Breast muscle percentage
4	Gizzard weight
4	Blood bile acid level
4	Comb height
4	Triglyceride level
4	Haugh units
4	Blood albumin to globulin ratio
4	Blood globulin level
4	Carcass weight
4	Blood uric acid level
4	Eggshell stiffness
4	Heart weight
3	Blood alanine transaminase level
3	HDL cholesterol level
3	Wooden breast
3	Blood aspartate transaminase level
3	HDL/LDL ratio
3	Shank circumference
3	Cholesterol level
3	LDL cholesterol level
3	Blood total protein level
3	Liver percentage
3	Blood creatinine level
3	Blood gamma-glutamyltranspeptidase level
3	Blood albumin level
3	Glucose level
3	AST to ALT ratio
3	Feathering
3	White striping
2	Proventriculus weight
2	Yolk color
2	Intramuscular fat percentage
2	Fowl typhoid susceptibility
2	Body weight gain
2	Deep pectoral myopathy
2	Liver fat percentage
2	Meat color L*
2	Meat color b*
2	Drumstick and thigh muscle percentage

# Reports	Goat Traits
3	Body weight
2	Teat number

# Reports	Horse Traits
12	Insect bite hypersensitivity
12	Recurrent exertional rhabdomyolysis
8	Tendon injury
8	Recurrent uveitis
7	Bone fracture
5	Strongyle fecal egg count
4	Suspensory ligament injury
4	Withers height
4	Osteoarthritis
3	Strongyle infection
3	twinning
3	Sperm progressive motility
2	Sperm count
2	Epistaxis
2	Skinfold thickness
2	Walk score
2	Hair shaft diameter
2	Hoof conformation
2	Semen volume
2	Sperm concentration
2	Body condition score
2	Croup height
2	Conformation score
2	chronic progressive lymphedema
2	Trot score
2	Equine sarcoids
2	Gestation length
2	Leg conformation
1	Leptin level
1	Plasma protein level
1	Hematocrit
1	Blood lactate level
1	Aspartate aminotransferase activity
1	Blood glucose level
1	Hemoglobin
1	neuroaxonal dystrophy
1	Blood creatinine level
1	ACTH level
1	Lymphocyte number
1	Red blood cell number
1	Creatine kinase level
1	Insulin level
1	White blood cell number
1	Triglyceride level
1	Blood adiponectin level
1	Neutrophil number
1	Chest circumference
1	Cannon bone circumference
1	Uric acid level
1	Number of progressively motile sperm
1	Blood non-esterified fatty acid level
1	hereditary equine regional dermal asthenia
1	Recurrent laryngeal neuropathy
1	Lactate dehydrogenase level

# Reports	Pig Traits
126	Total number born alive
73	Litter size
55	Average backfat thickness
53	Average daily gain
51	Number weaned
30	Litter weight, total
23	Number of stillborn
23	Muscle pH
22	Feed conversion ratio
21	Body weight
20	Sperm abnormality rate
19	Linoleic acid content
19	Oleic acid content
19	Palmitic acid content
19	Stearic acid content
18	Loin muscle area
18	Sperm motility
18	Teat number
18	Palmitoleic acid content
17	Days to 100 kg
17	Myristic acid content
17	Meat color L*
16	Polyunsaturated fatty acid content
16	Saturated fatty acid content
16	Monounsaturated fatty acid content
15	Intramuscular fat content
15	Number of mummified pigs
15	Residual feed intake
14	Semen volume
14	Daily feed intake
14	Sperm concentration
14	Lean meat percentage
12	Sperm per ejaculate
12	Loin muscle depth
12	Meat color b*
12	Meat color a*
12	Linolenic acid content
12	Carcass weight (hot)
11	Sperm progressive motility
11	Subcutaneous fat thickness
11	Meat color score
10	Eicosadienoic acid content
10	Arachidonic acid content
10	Arachidic acid content
9	Drip loss
9	Time in feeder per day
9	cis-11-Eicosenoic acid content
9	Number of visits to feeder per day
9	Carcass length
8	Omega-6 fatty acid content
8	Omega-6 to omega-3 fatty acid ratio
8	Average feeding rate
8	Dihomo-gamma-linolenic acid content
8	Time in feeder per visit
8	Feed intake per feeding
8	Omega-3 fatty acid content
8	Age at first farrowing

# Reports	Sheep Traits
63	Body weight
38	Average daily gain
21	Kleiber ratio
18	Residual feed intake
17	Feed conversion ratio
8	Mean fiber diameter
8	Greasy fleece weight
7	Sperm motility
7	Staple length
6	Sperm concentration
6	Somatic cell score
6	Semen volume
5	Fecal egg count
5	Backfat at 12th/13th ribs
5	Fiber diameter coefficient of variance
5	Longissimus muscle depth
5	Longissimus muscle area
5	Milk Yield
5	Fleece yield
4	Teat size
4	udder attachment
4	Dressing percentage
4	udder depth
4	Teat placement
3	Fiber diameter standard deviation
3	Clean fleece weight
3	Hot carcass weight
3	Staple strength
3	Feed intake
2	Hematocrit
2	Longissimus muscle width
2	Fiber curvature
2	Backfat at GR site
2	Milk protein yield
2	Nematodirus FEC
2	Milk protein percentage
2	Milk fat yield
2	Subcutaneous fat thickness
1	Number of visits to feeder per day
1	Milk protein content
1	Hind leg bone weight
1	Topside weight
1	Breech wrinkle
1	Meat saturated fatty acid content
1	Meat linoleic acid content
1	Cooking loss
1	Wool crimp
1	Time in feeder per visit
1	Loin fat weight
1	Meat omega-3 fatty acid content
1	Tail length
1	Feed intake per feeding
1	Meat linolenic acid content
1	Blood alpha-1 globulin level
1	Longissimus muscle weight
1	Weaning age
1	Horn circumference

New Data: If you found correlation data that has not been included in the current release, please either (1) register for a curator account to directly input them (see "Database Curators / Editors" below), or (2) inform our Bioinformatics Team so that we can include your data for curation.

Database Curators / Editors: The CorrDB is open to the public for data entry and update. By having a curator account on the CorrDB, you will be granted privileges to input and edit the database entries.

Questions and Answers: Frequently asked questions and answers to address the questions raised with regard to the design, usage, application, utilities, new developments, and other related issues in the development of CorrDB.

Data downloads:

Release 18 data:
‣ tab delimited
‣ plain text
‣ gzip compressed

Correlation data: Cattle

Correlation data: Chicken

Correlation data: Goat

Correlation data: Horse

Correlation data: Pig

Correlation data: Sheep

Heritability data: Cattle

Heritability data: Chicken

Heritability data: Goat

Heritability data: Horse

Heritability data: Pig

Heritability data: Sheep

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2022). Bringing the Animal QTLdb and CorrDB into the future: meeting new challenges and providing updated services. Nucleic Acids Research, Volume 50, Issue D1, Pages D956–D961. DOI: 10.1093/nar/gkab1116

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2020). An Update on Database Growth and Improvements of Animal QTLdb and CorrDB. Plant & Animal Genomes XXVII Conference, January 11-15, 2020. Town & Country Convention Center, San Diego, CA. (January 11-15, 2020).

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2019). Building a livestock genetic and genomic information knowledgebase through integrative developments of Animal QTLdb and CorrDB. Nucleic Acids Research, Volume 47, Issue D1, 8 January 2019, Pages D701–D710. DOI: 10.1093/nar/gky1084

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2018). Development of Animal QTLdb and CorrDB: Resynthesizing Big Data to Improve Meta-analysis of Genetic and Genomic Information. The 11th World Congress on Genetics Applied to Livestock Production (WCGALP). New Zealand, February 11-16, 2018.

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2018). Animal QTLdb and CorrDB updates: integrative development of genetics/genomics databases and tools to meet new challenges. Plant & Animal Genomes XXVI Conference, January 13-17, 2018. Town & Country Convention Center, San Diego, CA.

Zhi-Liang Hu, Dinesh Kumar, and James Reecy. (2013). CorrDB: A livestock animal genetic/phenotypic trait correlation database. Plant & Animal Genomes XX Conference, January 11-16, 2013. Town & Country Convention Center, San Diego, CA.|/icons/links/PAG_logo.png|2

Related resources:

· VT | LPT | LBO | CMO ·

· MIQAS ·

· MIBBI ·

· MI ·

· Animal QTLdb ·

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Contact: NAGRP Bioinformatics Team